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Job Description: DevOps SSE (8+ Years’ Experience) 

Role Overview 

We are seeking a highly skilled DevOps SSE with 8+ years of overall IT experience to design, implement, and govern scalable, secure, and costefficient cloud and DevOps architectures. The ideal candidate will have deep expertise across AWS and Azure, strong hands-on experience with Kubernetes, Terraform, and a solid understanding of cloud governance, IAM design, cost optimization, and observability. This role requires architectural leadership across multiple projects and close collaboration with development, security, and operations teams.   

Key Responsibilities 

Required Skills & Experience 

Experience 

• 8+ years of overall IT experience 
• 6+ years in DevOps / Cloud Architecture roles 
• Proven experience designing enterprisescale, productionready cloud platforms 
• Handson experience applying AIassisted tools or AIOps capabilities in DevOps, cloud operations, observability, security, or cost optimization 
• Experience integrating automation and intelligence across CI/CD, infrastructure, and operations workflows 
• Experience working with Copilot 

Technical Skills 

Cloud Platforms 

• AWS and Microsoft Azure (compute, networking, storage, security services) 
• Designing AIready cloud architectures with telemetry, automation hooks, and scalable data pipelines 

Containers & Orchestration 

• Kubernetes (EKS, AKS) 
• AIdriven auto scaling inputs, workload optimization, and intelligent scheduling concepts 

Infrastructure as Code & Intelligent Automation 

• Terraform (enterprisescale IaC) 
• AIassisted validation of IaC (policy enforcement, drift detection, misconfiguration analysis) 
• Automated remediation and selfhealing infrastructure patterns 

DevOps & CI/CD  

• CI/CD pipelines with Gitbased workflows and GitOps 
• AIassisted:  Code and pipeline reviews 
• Intelligent test selection and quality gates 
• Deployment risk analysis and change impact prediction 
• Automated security, compliance, and policy enforcement in pipelines 

Programming & Scripting 

• Python (automation, integrations, AIassisted tooling) 
• Node.js (application and platform integration) 
• Ability to consume AI/ML APIs and SDKs for automation, analysis, or operational intelligence 

Observability, AIOps & Reliability 

• Monitoring, logging, and tracing tools:  
• Prometheus, Grafana, CloudWatch, Azure Monitor 
• AIOps capabilities including:  
• Anomaly detection 
• Alert noise reduction and correlation 
• AI assisted root cause analysis 
• Defining and tracking SLOs, SLIs, and reliability signals enriched with AI insights 

Security, IAM & AIDriven Governance 

• Cloud IAM design (RBAC, least privilege, identity federation) 
• AI assisted:  Security posture monitoring 
• Misconfiguration detection 
• Threat and anomaly analysis 
• Automated compliance monitoring and policy enforcement
• Cost Optimization (FinOps + AI) 
• FinOps practices and cloud cost governance 
• AIdriven:  Cost anomaly detection 
• Usage forecasting 
• Resource rightsizing recommendations 
• Enforcing cost controls through automation and intelligent guardrails 

AI & Platform Intelligence (Core Expectation) 

• Practical experience using AI copilots or AIassisted tools for:  
• Infrastructure design 
• Troubleshooting and incident analysis 
• Knowledge discovery and documentation 
• Understanding of AIOps concepts, AIaugmented DevOps workflows, and intelligent cloud operations 
• Ability to evaluate, adopt, and integrate emerging AI tools responsibly in enterprise environments 

Leadership & Collaboration 

• Mentor DevOps engineers and cloud teams. 
• Collaborate with application, data, security, and infrastructure teams. 
• Contribute to technical roadmaps, best practices, and standards documentation 

Good to Have 

• Multi-account / multi-subscription cloud strategy experience. 
• Experience with service mesh, API gateways, and event-driven architectures. 
• Exposure to compliance frameworks (ISO, SOC2, etc.). 
• Cloud certifications (AWS Solutions Architect, Azure Solutions Architect, Kubernetes certifications).
• Experience working with AI tools. 

Location: Bay Area / Palo Alto, California only (onsite), Candidates open to relocate to these areas are welcome Contract Type: Full-time or Contract-to-Hire Eligibility: US Citizens or Green Card holders only

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

‍We are looking for an experienced Python developer with a passion for Generative AI and hands-on expertise in cloud development. As a Senior GenAI Developer, you will lead the design, development, and deployment of scalable GenAI applications that redefine how professional services are delivered.

Key Responsibilities:

• GenAI Development: Build a platform to support enterprise GenAI solutions leveraging large language models (LLMs) and state-of-the-art frameworks.
• Cloud Development: Design and implement robust, cloud-native solutions, preferably on Azure.
• Full-Stack Contribution: Drive development from concept to deployment, ensuring seamless integration across back-end and front-end components.
• Model Optimization: Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt engineering and agent plans.
• Collaboration: Work closely with cross-functional teams, including domain experts and product managers, to deliver solutions aligned with business needs.
• Mentorship: Guide and support junior developers to foster technical growth within the team.
• Innovation: Stay ahead of emerging trends in AI and GenAI to continuously elevate our technical capabilities.

Qualifications:

• 6+ years of professional experience in Python development, including deploying machine learning or Generative AI applications.
• 2+ years of hands-on experience building and deploying AI/ML solutions in Azure.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Technical Skills:

• Advanced proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
• Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
• Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents.
• Familiarity with GenAI frameworks like LangChain, Semantic Kernel, or equivalent tools.

Soft Skills:

• Excellent communication and collaboration skills in team-driven environments.
• Analytical mindset with a strong focus on problem-solving.
• Comfortable working in a fast-paced, dynamic startup culture.
• Eagerness to learn and contribute to cutting-edge technologies.

Benefits

• Competitive Compensation: Tailored to your experience and skill set.
• Flexible Work Arrangements: Hybrid working model for work-life balance.
• Career Growth: Opportunities for professional development and leadership roles.
• Innovative Culture: Work on transformative technologies and make an impact in the AI space.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the India, Srilanka, U.S.and Mexico collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a Senior Tech Lead who combines deep technical expertise with strong leadership capabilities. In this role, you will  design, execute technical strategy and lead the GenAI architecture. You will Mentor and guide a team of Full-Stack and AI engineers.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients . Contract Type: Full Time. Location: Remote – Anywhere in TamilNadu(India) Key responsibilities 

• Technical Leadership 
• Design and lead the GenAI architecture, making key decisions on model selection, pipeline design, and scalability.
• Experience in project Sizing and Estimation
• Define and execute the technical strategy and roadmap for AI/ML initiatives.
• Lead architectural reviews and ensure engineering excellence across the stack.
• Mentor and guide a team of Full-Stack and AI engineers.
• Establish best practices for LLM development, evaluation, and deployment.
• Hands-On Development
• Build and optimize LLM pipelines from experimentation to production.
• Develop advanced prompt engineering frameworks and strategies.
• Implement Full-Stack features using React.js/Next.js and Python/Node.js backends.
• Conduct rigorous model evaluations and performance optimizations.
• Design and implement CI/CD pipelines for AI systems.
• Infrastructure & Operations
• Architect and maintain AWS-based infrastructure for AI workloads.
• Use Terraform and DuploCloud to implement infrastructure as code.
• Ensure system reliability, security, and cost optimization.
• Build monitoring and observability tools for LLM applications.

Candidate requirements 

• 7+ years of software engineering experience, including 2+ in technical leadership.
• Strong Full-Stack development skills using React.js, Next.js, and TypeScript.
• Experience working on Agile development projects.
•  Experience in using Jira and Jira reporting.
• Proficiency in Python (FastAPI) and/or Node.js for backend services.
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Strong system design, API architecture, and microservices background.
• Proven ability to lead cross-functional teams, review code, and uphold high engineering standards. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Job Title: QA Automation Engineer (2–4 Years Experience)

Location:

  AI-First Software Engineer (Fully-remote/India/SriLAnka /Full-time (40 hrs/week))  Description  We're looking for quality-obsessed trailblazers ready to redefine what testing and automation can look like with AI as their co-pilot. Think less manual regression, more intelligent validation. Here, AI isn't just a shortcut—it's your force multiplier, transforming your QA instincts into a superpower. Imagine generating comprehensive test suites in minutes, predicting failure points before they hit production, and delivering rock-solid software that earns genuine customer trust.  This role is about pushing the boundaries of quality engineering. You'll be at the forefront of building AI-augmented test frameworks that catch what humans miss, using the latest technology to evolve your automation skills to an elite level. Your mission is to ensure our enterprise software solutions are not just functional, but flawless—leading the market in reliability, performance, and user experience.  We want driven, curious, and innovative individuals ready to explore new horizons in quality assurance. We're charting a new course in how software gets tested and shipped, with AI as our guide. Are you up for the challenge?  What you will be doing 

• Implementing AI from the ground up in QA workflows, enhancing everything from test case generation to root cause analysis. 

• Building AI-powered automation frameworks that provide intelligent, self-healing test coverage across products and platforms. 

• Crafting AI-generated test summaries and quality reports to streamline knowledge sharing across teams, boosting overall engineering efficiency. 

• Showcasing how AI elevates the quality process—faster coverage, smarter detection, better outcomes. 

What you will NOT be doing 

• Spending your days on tedious manual test execution. With AI, you'll identify, triage, and resolve quality issues swiftly—leaving outdated methods behind. 

• Getting buried in project management. Stay focused on what you do best—building robust automation and engineering quality into every release. 

Key responsibilities 

• Drive the integration of AI into our quality engineering process, setting new standards in test coverage, release confidence, and customer satisfaction across our product suite. 

  Candidate requirements 

• At least 2 years of experience in quality assurance or test automation engineering 

• Primary proficiency in Java and/or C# for building and maintaining automation frameworks 

• Hands-on experience with cloud environments (such as Lambda, EC2, PaaS, containerization, EKS, ECS, etc.) and testing within them 

• Experience with modern automation tools and frameworks (e.g., Selenium, Playwright, REST Assured, or similar) 

• Professional experience using GenAI tools such as KAVIA, Co-Pilot to accelerate productivity and test creation 

     

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the India, Srilanka, U.S.and Mexico collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a AI Full Stack Developer who combines deep technical expertise with strong leadership capabilities. In this role, you will  design, execute technical strategy and develop the GenAI architecture.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients . Contract Type: Full Time. Location: Remote – Anywhere in TamilNadu(India)/Srilanka Key responsibilities  : Hands-On Development 

• Implement Fullstack features using React.js/Next.js and Python/Node.js backends. 
• Build and optimize LLM pipelines from experimentation to production. 
• Develop advanced prompt engineering frameworks and strategies. 
• Conduct rigorous model evaluations and performance optimizations. 
• Design and implement CI/CD pipelines for AI systems. 

Candidate requirements 

• 2+ years of software engineering experience
• Strong  fullstack development skills using React.js, Next.js, and TypeScript
• Proficiency in Python (FastAPI) and/or Node.js for backend services. 
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Proven ability to collaborate in cross-functional teams, review code, and uphold high engineering standards. 

 Good to have 

• Experience with fine-tuning or training LLMs. 
• Familiarity with LangChain, LlamaIndex, or similar frameworks. 
• Experience with A/B testing, experimentation frameworks, or open-source AI contributions. 
• Uphold high engineering standards. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

 

Key Responsibilities:

• Support development of backend services and APIs using Node.js.
• Assist with deployment workflows, CI/CD, and infrastructure tasks (including exposure to Terraform).
• Debug and troubleshoot issues across application and infrastructure layers.
• Collaborate with senior engineers on architecture and implementation.

Qualifications:

• 1–3 years of professional software engineering experience.
• Hands-on experience with Node.js and backend development (fundamental APIs preferred); Python experience is a plus.
• Foundational understanding of APIs, backend services, and DevOps basics.
• Strong problem-solving mindset and learning agility.

Nice to Have:

• Exposure to GenAI or AI tools/projects.
• Basic experience with cloud platforms.
• Basic knowledge of Docker.
• Familiarity with Linux/Unix environments.
• Interest in tools such as Amazon Bedrock.
• Familiarity with containerization or CI/CD tools.

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are looking for an AI-First Forward Deployed Engineer with strong engineering fundamentals and hands-on experience across backend development and DevOps environments.

 

Key Responsibilities:

• Design and build scalable backend applications and APIs using Node.js.
• Contribute to infrastructure, CI/CD pipelines, and deployment workflows using tools such as Terraform.
• Support production deployments and troubleshoot real-world system issues.
• Collaborate with Product and Engineering teams to translate requirements into technical solutions.
• Participate in customer-facing technical discussions when needed.

Qualifications:

• 3+ years of hands-on software engineering experience.
• Strong proficiency in Node.js (primary backend) and experience with API development; Python is a plus.
• Terraform experience is required.
• Solid understanding of APIs, distributed systems, and DevOps practices (CI/CD, containers, cloud environments).
• Experience working in production environments.
• Strong communication skills and ownership mindset.

Nice to Have:

• Some exposure to GenAI or AI-driven systems.
• Experience with AWS, Azure, or GCP.
• Experience with Docker and containerization.
• Basic familiarity with Kubernetes (K8s).
• Linux/Unix experience.
• Exposure to Amazon Bedrock.
• Experience deploying solutions in enterprise environments.

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

 

Key Responsibilities:

• Work directly with enterprise customers in a client-facing capacity to understand technical and business requirements.
• Design, build, and deploy backend services and APIs using Node.js (primary) and Python where applicable.
• Own and contribute to infrastructure and deployment workflows using CI/CD pipelines and Infrastructure as Code (Terraform).
• Collaborate closely with Product, Engineering, and Customer Success teams to influence product direction.
• Own technical implementations end-to-end, from discovery and design to deployment and iteration.
• Act as a trusted technical advisor for customers, helping them adopt and scale solutions successfully.
• Debug, optimize, and extend existing systems in production environments.
• Provide technical leadership during customer engagements, including best practices, architecture guidance, and trade-off discussions.
• Document solutions, architectures, and learnings to support internal knowledge sharing

Qualifications:

• 8+ years of professional software engineering experience.
• Strong backend experience in Node.js (primary language), with additional experience in languages ​​such as Python, JavaScript/TypeScript, Java, or Go.
• Hands-on experience with DevOps practices including CI/CD pipelines, Terraform, and production deployments.
• Experience working in customer-facing or client-facing technical roles.
• Solid understanding of system design, APIs, and distributed systems fundamentals.
• Ability to quickly understand complex systems and adapt solutions to different environments.
• Strong communication skills and comfort working directly with enterprise stakeholders.
• Ownership mindset with the ability to lead technical initiatives independently.

Nice to Have:

• Experience deploying solutions in enterprise or regulated environments.
• Background in cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and containerization.
• Familiarity with Kubernetes (K8s).
• Strong Linux/Unix experience.
• Experience with AWS services such as Amazon Bedrock.
• Exposure to AI, GenAI, or data-driven systems.
• Previous experience influencing product roadmaps based on customer feedback.
• Comfort working in fast-paced, ambiguous environments

What Success Looks Like:

A successful FDE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the India, Srilanka, U.S.and Mexico collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

We are seeking a Senior Tech Lead who combines deep technical expertise with strong leadership capabilities. In this role, you will  design, execute technical strategy and lead the GenAI architecture. You will Mentor and guide a team of Full-Stack and AI engineers.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients . Contract Type: Full Time. Location: Remote – Anywhere in TamilNadu(India) Key responsibilities 

• Technical Leadership 
• Design and lead the GenAI architecture, making key decisions on model selection, pipeline design, and scalability.
• Experience in project Sizing and Estimation
• Define and execute the technical strategy and roadmap for AI/ML initiatives.
• Lead architectural reviews and ensure engineering excellence across the stack.
• Mentor and guide a team of Full-Stack and AI engineers.
• Establish best practices for LLM development, evaluation, and deployment.
• Hands-On Development
• Build and optimize LLM pipelines from experimentation to production.
• Develop advanced prompt engineering frameworks and strategies.
• Implement Full-Stack features using React.js/Next.js and Python/Node.js backends.
• Conduct rigorous model evaluations and performance optimizations.
• Design and implement CI/CD pipelines for AI systems.
• Infrastructure & Operations
• Architect and maintain AWS-based infrastructure for AI workloads.
• Use Terraform and DuploCloud to implement infrastructure as code.
• Ensure system reliability, security, and cost optimization.
• Build monitoring and observability tools for LLM applications.

Candidate requirements 

• 7+ years of software engineering experience, including 2+ in technical leadership.
• Strong Full-Stack development skills using React.js, Next.js, and TypeScript.
• Experience working on Agile development projects.
•  Experience in using Jira and Jira reporting.
• Proficiency in Python (FastAPI) and/or Node.js for backend services.
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Strong system design, API architecture, and microservices background.
• Proven ability to lead cross-functional teams, review code, and uphold high engineering standards. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in Germany (PST-friendly preferred). Eligibility: Must have valid work authorization in Germany (EU citizen or authorized to work in Germany without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer / Architect who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in Italy (PST-friendly preferred). Eligibility: Must have valid work authorization in Italy (EU citizen or authorized to work in Italy without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer / Architect who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Toronto (PST-friendly preferred). Eligibility: Must have valid work authorization in Canada (Canadian citizen or permanent resident).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer / Architect who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). (PST-friendly preferred). Eligibility: U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer / Architect who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in the United States (PST-friendly preferred). Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). Eligibility: U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer / Architect who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 5+ years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment