Current Jobs

Contract Type: Full-Time Contract (40 hrs/week - long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo)

Role Overview

We're looking for a Senior Software Engineer to play a key role in building and scaling our AI-powered enterprise software products. In this role, you'll own significant features end-to-end, contribute to architectural decisions, and help raise the bar across the engineering team. You'll bring deep full-stack expertise and hands-on experience building GenAI-powered applications — and you'll help define how AI becomes a native part of our engineering culture. 

Key Responsibilities 

Full Stack Development 

• Implement and own full-stack features using React.js, Next.js, and TypeScript on the frontend, with Python (FastAPI) and/or Node.js backends. 
• Design and build microservices and APIs that are scalable, secure, and maintainable. 
• Design and implement CI/CD pipelines for web and backend services. 
• Work with AWS-based infrastructure (Lambda, ECS, S3, etc.) and Docker/Kubernetes. 
• Contribute to infrastructure-as-code practices using Terraform. 
• Ensure system reliability, security, and cost optimization at the feature level. 
• Operate within an Agile delivery model, using Jira for planning, tracking, and reporting. 
• Conduct thorough code reviews and mentor junior engineers. 

AI Engineering 

• Build and optimize LLM pipelines from experimentation to production, including RAG systems. 
• Develop effective prompt engineering strategies for production use cases. 
• Conduct model evaluations and performance benchmarking. 
• Integrate GenAI features into core product workflows. 
• Contribute to CI/CD pipelines for AI systems. 
• Support monitoring and observability for LLM-powered features. 

Candidate Requirements 

• 5–7 years of software engineering experience. 
• Strong full-stack 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. 
• Working knowledge of prompt engineering and RAG systems. 
• Solid knowledge of AWS (Lambda, ECS, S3, etc.), Docker, and Kubernetes. 
• Experience with CI/CD pipelines (GitHub Actions or similar). 
• Strong understanding of system design, API architecture, and microservices. 
• Experience working in Agile teams using Jira. 
• Proven track record of mentoring peers and conducting quality code reviews. 

Good to Have 

• Experience with fine-tuning or training LLMs. 
• Familiarity with LangChain, LlamaIndex, or similar frameworks. 
• Exposure to MLOps practices and model monitoring. 
• Experience with Terraform and infrastructure-as-code. 
• Contributions to open-source AI projects or experimentation frameworks. 

ID:P10

Contract Type: Full-Time Contract (40 hrs/week - long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo) Job Description  We're looking for a Software Engineer who is excited to build production-grade software with AI as a core part of the development process. In this role, you'll implement full-stack features, integrate AI-powered capabilities, and work closely with senior engineers to deliver scalable enterprise solutions. You'll be expected to bring solid fundamentals and a genuine curiosity for how AI can make teams faster and products smarter. 

Role Overview

Full Stack Development 

• Implement full-stack features using React.js, Next.js, and TypeScript on the frontend, and Python (FastAPI) and/or Node.js on the backend. 
• Build and maintain REST APIs and integrate third-party services. 
• Write unit and integration tests; participate actively in code reviews. 
• Work within an Agile delivery model, using Jira for planning, tracking, and reporting. 
• Collaborate with senior engineers on system design and architecture decisions. 
• Deploy applications using CI/CD pipelines; contribute to pipeline improvements. 
• Use Docker for local development and basic containerization tasks. 

AI Engineering 

• Integrate LLM APIs (e.g., OpenAI, Anthropic, Gemini) into product features. 
• Write and iterate on prompts to build reliable AI-powered features. 
• Work with senior engineers to build and test LLM pipelines. 
• Use AI coding tools (Copilot, Claude, etc.) to increase development velocity. 
• Stay current with fast-moving developments in GenAI tooling and best practices. 

Candidate Requirements 

• 3–4 years of software engineering experience. 
• Solid full-stack development skills using React.js (or similar) and Python or Node.js. 
• Experience building and consuming REST APIs. 
• Exposure to cloud services — AWS, GCP, or Azure (Lambda, EC2, S3, or equivalents). 
• Familiarity with Docker and CI/CD pipelines. 
• Experience using GenAI tools to boost productivity. 
• Ability to work effectively in an Agile team using Jira. 

Good to Have 

• Experience with LLM APIs (OpenAI, Anthropic, etc.) or basic prompt engineering. 
• Familiarity with RAG concepts or vector databases. 
• Exposure to LangChain, LlamaIndex, or similar frameworks. 
• Experience with Kubernetes or infrastructure-as-code tools (Terraform). 

ID:P09

Contract Type: Full-Time Contract (40 hrs/week - long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo)

Role Overview

We're looking for a Senior SDET to take ownership of quality strategy and test engineering across our AI-powered products. In this role, you'll architect scalable automation frameworks, define quality standards, and actively shape how AI transforms our testing practices. You'll be a technical authority on quality — mentoring peers, collaborating closely with engineering and product, and driving a culture where quality is built in, not bolted on. 

Key Responsibilities 

Quality & Test Engineering 

• 4 Years of experience in Automation is a must. 
• Architect and own end-to-end test automation frameworks covering UI, API, integration, and performance testing. 
• Define test strategies and quality standards for complex, cross-functional features and services. 
• Design and maintain scalable, maintainable test infrastructure, including containerized environments using Docker. 
• Build and optimize CI/CD pipelines for test execution, ensuring fast and reliable feedback loops. 
• Lead performance and load testing using tools like JMeter, k6, or Locust; analyze results and drive improvements. 
• Conduct thorough test design reviews and code reviews for automation code produced by the team. 
• Work closely with engineering leads to embed quality at the design and architecture stage. 
• Operate within an Agile delivery model; drive quality metrics, coverage reporting, and sprint-level test governance. 
• Mentor junior and mid-level SDETs; share knowledge and elevate the team's automation maturity. 

AI-Augmented Testing 

• Lead the integration of AI-powered testing tools into the team's quality stack (e.g., AI-based test generation, visual testing, self-healing tests). 
• Design frameworks for testing LLM-powered features — including prompt validation, output quality checks, and regression testing for AI responses. 
• Build evaluation harnesses to benchmark and monitor GenAI model behavior in production. 
• Develop strategies for testing non-deterministic AI outputs — defining acceptable variance, edge cases, and failure modes. 
• Champion the use of GenAI tools to accelerate test authoring, coverage analysis, and defect triage. 

Candidate Requirements 

• 5–7 years of experience in SDET or test automation engineering roles. 
• Strong expertise in automation frameworks: Playwright, Selenium, Cypress, Pytest, or similar. 
• Proficiency in Python, JavaScript, or Java; able to write production-quality automation code. 
• Deep experience with API testing, performance testing, and integration testing at scale. 
• Strong understanding of CI/CD pipelines and experience integrating tests into automated delivery workflows. 
• Solid knowledge of Docker and containerized test environments. 
• Proven ability to define and implement test strategies across complex product areas. 
• Experience mentoring engineers and conducting automation code reviews. 
• Familiarity with AWS or other cloud platforms for test infrastructure. 

Good to Have 

• Experience testing LLM-powered features or AI-generated outputs. 
• Familiarity with AI/ML testing concepts: model evaluation, hallucination detection, output validation. 
• Exposure to chaos engineering or reliability testing practices. 
• Experience with observability tools (Datadog, Grafana, or similar) for quality monitoring. 
• Background in security testing or accessibility testing. 

ID: P14

Contract Type: Full-Time Contract (40 hrs/week - long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo)

Role Overview

We're looking for a Software Development Engineer in Test who is passionate about building robust, AI-augmented quality systems. In this role, you'll design and implement automated test frameworks, own test coverage for full-stack features, and actively integrate AI tools into your quality engineering workflow. You'll be a key partner to developers and product teams — ensuring quality is shipped, not just checked. 

Key Responsibilities 

Quality & Test Engineering 

• At least 4 years of Automation Experience. 
• Design, develop, and maintain automated test suites covering UI, API, and integration layers using Playwright, Selenium, or Pytest. 
• Build and maintain data-driven and keyword-driven test frameworks from the ground up. 
• Own API test automation using tools like Postman, RestAssured, or similar. 
• Integrate automated tests into CI/CD pipelines (GitHub Actions, Jenkins, or similar) to enable continuous quality. 
• Perform functional, regression, performance, and exploratory testing across web and backend services. 
• Work within an Agile delivery model, using Jira to manage test plans, execution cycles, and defect tracking. 
• Collaborate with developers during code reviews to flag testability concerns early. 
• Produce clear test reports and communicate quality metrics to the team. 

AI-Augmented Testing 

• Use GenAI tools to auto-generate test cases, test data, and edge-case scenarios at scale. 
• Apply LLM-assisted techniques to accelerate test script generation and maintenance. 
• Explore AI-powered testing tools for visual regression, intelligent test selection, and anomaly detection. 
• Contribute ideas for integrating AI into the team's QA workflows and advocate for adoption. 

Candidate Requirements 

• 3–4 years of experience in software test automation or SDET roles. 
• Strong hands-on experience with at least one automation framework: Playwright, Selenium, Cypress, or Pytest. 
• Proficiency in Python, JavaScript, or Java for writing test automation code. 
• Experience with API testing tools (Postman, RestAssured, etc.) and REST API concepts. 
• Familiarity with CI/CD pipelines and integrating tests into automated build processes. 
• Experience with test management tools and defect tracking in Jira. 
• Working knowledge of Agile/Scrum methodologies. 
• Ability to analyze test results, identify root causes, and communicate findings clearly. 

Good to Have 

• Experience using GenAI tools for test case generation or documentation. 
• Familiarity with performance testing tools (JMeter, k6, Locust). 
• Exposure to Docker and containerized test environments. 
• Basic knowledge of cloud platforms (AWS, GCP, or Azure) for test infrastructure. 
• Experience with BDD frameworks like Cucumber or Behave. 

ID: P08

Contract Type: Full-time – on-site / hybrid, aligned to client site working hours Location: Netherlands (based locally, with travel to client offices and work sites as required) Eligibility: Must have valid work authorization in the Netherlands (Dutch or EU citizen). Must be fluent in Dutch.

Role Overview 

DT3 is looking for a Local Business Analyst based in the Netherlands to act as the primary on-the-ground point of contact between the client and DT3 – bridging operations, technology, and people, and keeping communication, documentation, and follow-through moving smoothly, whether working from the client office or on-site. 

Key Responsibilities 

• Process & Technology Understanding: Understand current processes and the technologies/tools that support them; identify the personnel who own each process/tool; map end-to-end processes and create/maintain SOPs. 
• Facilitate Meetings: Schedule and run working sessions between client personnel and DT3, coordinating logistics and site access for both in-office and on-site discussions. 
• Local Point of Contact: Be the trusted, go-to local contact for client personnel across functions and sites, representing DT3 professionally. 
• Documentation & Follow-up: Document minutes accurately and on time; track open items and clarifications to closure, following up proactively with owners. 
• Governance & Planning Support: Attend project governance meetings; support planning for new use cases via scoping activities and site visits as needed. 

Required Skills & Experience 

• Native-level fluency in both Dutch and English, written and spoken – must have. 
• Demonstrated ability to map processes and to understand, write, and maintain SOPs. 
• Skilled at navigating different hierarchical structures and reporting relationships within a client organisation, and knowing who to approach to get information needed for project work. 
• Prior experience in a client-facing coordination, project support, business analysis, or program management role, engaging both business/operations and technical stakeholders. 
• Strong meeting facilitation and documentation discipline (minutes, action logs, follow-up tracking). 
• Based in, or able to work locally in, the Netherlands, with flexibility to travel to client sites as needed. 

Preferred / Nice to Have 

• Experience in process discovery, operations mapping, or technology landscape assessments; familiarity with project governance (steering committees, status reporting, RAID logs); background in consulting or systems integration; prior experience working in manufacturing operations. 

Key Relationships 

• Client operations, process, and technology personnel across sites; DT3 project/engagement team; project governance forums (steering committees, working groups) as applicable. 

ID: P02

Contract Type: Full-Time Contract (long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo)

Role Overview

DigitalT3 is seeking a Senior Product Owner to lead strategic product initiatives across multiple teams and complex product portfolios. This senior role demands extensive experience in product strategy, AI-driven innovation, stakeholder leadership, and the ability to mentor junior product professionals. You will shape product direction, drive organizational impact, and leverage cutting-edge AI technologies to deliver exceptional business value. 

Key Responsibilities 

Strategic Leadership: 

• Define and execute product strategy across multiple teams and product lines 
• Drive product vision alignment with company strategic objectives and market opportunities 
• Lead complex product initiatives and platform-level developments 
• Partner with executive leadership on roadmap development and business planning 
• Identify market trends, competitive threats, and innovation opportunities 

Product Excellence: 

• Orchestrate delivery across multi-team workstreams and cross-functional dependencies 
• Establish and optimize product development processes and best practices 
• Define product success metrics, OKRs, and lead measurement frameworks 
• Conduct advanced market research, user research, and competitive intelligence 
• Drive product innovation using AI-driven insights and emerging technologies 

Stakeholder & Team Leadership: 

• Manage complex stakeholder relationships at all organizational levels 
• Facilitate strategic workshops, requirement-gathering sessions, and executive presentations 
• Mentor and coach junior and mid-level product owners 
• Lead cross-team dependency management and program-level planning 
• Influence product culture and champion best practices organization-wide 

AI & Innovation: 

• Lead AI product strategy and integration of machine learning capabilities 
• Evaluate and implement AI-driven product features and experiences 
• Collaborate with data science and ML teams on model development and deployment 
• Champion responsible AI practices, ethics, and bias mitigation strategies 

Required Qualifications

• Bachelor's degree in Computer Science, Business, Engineering, or related field; MBA preferred 
• 2 - 4 years of progressive product ownership or product management experience 
• Proven track record of delivering complex, high-impact products 
• Deep expertise in Agile, Scrum, and Scaled Agile frameworks (SAFe) 
• Demonstrated success in strategic stakeholder management and executive influence 
• Experience managing products with millions of users or significant revenue impact 
• Strong technical acumen with ability to engage in architectural discussions

Technical Skills & AI Competencies 

Advanced Technical Skills: 

• Expert mastery of enterprise product management platforms and tools 
• Deep understanding of system architecture, APIs, microservices, and cloud infrastructure 
• Advanced data analysis with SQL, Python, or R for product insights 
• Expertise in product analytics platforms with advanced segmentation and cohort analysis 
• Experience with A/B testing frameworks, experimentation platforms, and statistical analysis 
• Knowledge of DevOps, CI/CD pipelines, and modern software delivery practices 

AI & Machine Learning Expertise (Required): 

• Comprehensive understanding of AI/ML concepts including supervised/unsupervised learning, neural networks, and NLP 
• Experience building and launching AI-powered products or features at scale 
• Proficiency with AI development platforms (TensorFlow, PyTorch, AWS SageMaker, Azure ML) 
• Advanced prompt engineering and ability to work with LLMs (GPT-4, Claude, Gemini) 
• Knowledge of AI product evaluation metrics, model performance monitoring, and quality assurance 
• Understanding of RAG systems, vector databases, and AI agent architectures 
• Experience with AI ethics frameworks, fairness testing, and bias mitigation strategies 
• Familiarity with generative AI tools for images (DALL-E, Midjourney, Stable Diffusion) 
• Ability to design AI-driven user experiences and conversational interfaces 
• Knowledge of AI governance, compliance requirements (GDPR, AI Act), and privacy considerations 

AI Tools Mastery: 

• ChatPRD, ProductBoard AI, Aha! AI for advanced product documentation 
• AI-powered user research tools (Dovetail, UserTesting with AI insights) 
• Advanced analytics with AI capabilities (Mixpanel AI, Amplitude Intelligence) 
• LangChain, LlamaIndex for building custom AI workflows and agents 
• GitHub Copilot, Cursor, or other AI coding assistants for prototyping 

Leadership & Soft Skills 

• Executive presence and exceptional communication at all organizational levels 
• Strategic thinking with strong business acumen and P&L understanding 
• Proven mentorship and coaching abilities for team development 
• Advanced negotiation and conflict resolution skills 
• Change management and organizational influence capabilities 
• Data-driven decision making with strong analytical rigor 
• Customer obsession and market intuition 
• Adaptability in complex, fast-changing environments 

Required Certifications 

Product Management Certifications (Required): 

• Advanced Certified Scrum Product Owner (A-CSPO) or equivalent 
• Professional Scrum Product Owner II or III (PSPO II/III) 
• SAFe POPM or SAFe Product Manager/Product Owner (Required for enterprise products) 
• Certified Scrum Professional - Product Owner (CSP-PO) 

AI Certifications (At least one required): 

• IBM AI Product Manager Professional Certificate 
• Product School AI Product Manager Certification 
• Google AI for Product Managers (Advanced) 
• AWS Certified Machine Learning - Specialty 

DigitalT3 is an equal opportunity employer committed to diversity and inclusion.  ID: 07

Contract Type: Full-Time Contract (long-term engagement) Location: Remote - Tamil Nadu, Karnataka, Pondicherry (India) + Sri Lanka (Colombo)

Role Overview

DigitalT3 is seeking a motivated Associate Product Owner to join our innovative team. This entry-level position is ideal for recent graduates or professionals transitioning into product ownership who are passionate about technology, agile methodologies, and AI-driven product development. You will work under the mentorship of senior product professionals while contributing to real product initiatives and gaining hands-on experience in modern product management practices. 

Key Responsibilities 

• Lead in gathering and documenting product requirements, product visioning, suggestions to and from stakeholders and customers 
• Lead creation and maintenance of the product backlog under senior guidance 
• Write clear user stories with acceptance criteria for development teams 
• Participate actively in sprint planning, daily stand-ups, reviews, and retrospectives 
• Collaborate with cross-functional teams including developers, designers, and QA testers 
• Learn and apply Agile and Scrum principles in daily work 
• Lead in product roadmap planning and feature prioritization discussions 
• Conduct market and competitor research to support product decisions 
• Use AI tools to automate routine tasks such as meeting summaries and documentation 
• Support customer feedback collection and analysis initiatives 

Required Qualifications 

• Bachelor's degree in Computer Science, Business, Engineering, or related field 
• 6 months - 2 years of experience in product management, business analysis, or related roles understanding deliverables 
• Basic understanding of Agile and Scrum methodologies 
• Strong written and verbal communication skills 
• Eagerness to learn and adapt in a fast-paced environment 
• Basic analytical and problem-solving abilities 

Technical Skills & AI Competencies 

Core Technical Skills: 

• Familiarity with product management tools (Jira, Confluence, Trello, or similar) 
• Understanding of software development lifecycle 
• Proficiency in Microsoft Office Suite and Google Workspace 
• Data analysis skills using Excel or Google Sheets 

AI Tools & Knowledge (Required): 

• Hands-on experience with ChatGPT, Claude, or similar AI assistants for documentation, brainstorming and product visioning/building 
• Prompt engineering skills to generate product requirements/visions and user stories 
• Familiarity with AI-powered productivity tools (Grammarly, Notion AI, or similar) 
• Understanding of AI concepts and terminology (ML, LLMs, training data) 
• Awareness of AI ethics, bias detection, and responsible AI practices 

Preferred AI Skills: 

• Experience with AI analytics tools  
• Understanding of no-code/low-code AI platforms  
• Exposure to AI product features (recommendations, personalization, chatbots) 

Essential Soft Skills 

• Strong interpersonal and collaboration skills 
• Logical and analytical thinking 
• Active listening and ability to gather requirements effectively 
• Adaptability and willingness to learn from feedback 
• Stakeholder management and communication 
• Time management and organizational skills 
• Customer-centric mindset 
• Curiosity and continuous learning attitude 

Certifications (Preferred but Not Required) 

• Certified Scrum Product Owner (CSPO) 
• Professional Scrum Product Owner I (PSPO I) 
• Google AI for Everyone or similar AI fundamentals certification 
• SAFe Product Owner/Product Manager certification 

What We Offer 

• Exposure to cutting-edge AI-driven product development 
• Competitive salary and benefits package 
• Clear career progression path within DigitalT3 
• Flexible work arrangements and modern collaborative tools 
• Dynamic, innovative, and inclusive work culture 

DigitalT3 is an equal opportunity employer committed to diversity and inclusion.  ID: P12

Contract Type: This is a full-time, direct-hire opportunity with our end client. Location: Bay Area / Palo Alto, California only (Hybrid mode – 3 days onsite per week), Candidates open to relocate to these areas are welcome Eligibility: U.S. Citizens or Green Card holders only. 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.

P01

Role Overview : We are seeking a Technical Project Lead to lead and deliver full stack software projects.  This role requires a strong blend of agile delivery leadership, technical depth, and stakeholder (client, team etc.) management. You will work closely with clients, product owners, Tech Leads, full stack engineers and AI engineers to ensure timely, high-quality delivery of scalable, intelligent solutions.  This role requires hands-on with Agile/Scrum practices, deeply understands modern web and GenAI architectures, and can bridge the gap between business objectives and technical execution.  Key Responsibilities (Must Have & Recent Experience ) 

• Serve as Project Lead for one or more cross-functional Agile teams, and own project planning and execution across all software development phases (Requirements, Architecture & Design, Development and Release) 
• Create and manage project plans, timelines, risk registers, and dependency tracking 
• Manage scope, schedule, and quality while balancing evolving product needs 
• Facilitate all Scrum ceremonies: Sprint Planning, Daily Standups, Reviews, and Retrospectives with adherence to Agile/Scrum principles, removing impediments and enabling continuous improvement 
• Act as the primary point of contact for internal and external stakeholders 

Deliverables (Primary) 

• Sprint deliverables aligned with delivery roadmap and release schedules 
• Sprint Reports (velocity, quality, predictability), RAID Log etc.  
• Post-release reviews and retrospective action items 

Required Qualifications / Experience 

• 7+ years of experience in Technical Project lead  
• Proven track record delivering full stack cloud-based and/or AI/ML applications 
• Experience in Agile environments (Scrum, Kanban or hybrid models) 

Technical Skills 

• Strong understanding of full stack architectures  Front End (React/Angular) & Backend Technologies (Python, Node.js, Java, C#) 
• Cloud platforms: AWS / Azure/ GCP  
• DevOps tools: CI/CD pipelines, Docker, Kubernetes (foundation knowledge) 
• Experience with tools such as Jira, Azure DevOps, Confluence, GitHub/ GitLab 

 Soft Skills 

• Self Motivated, Excellent communication, facilitation, and negotiation skills 
• Strong problem-solving mindset with attention to detail 
• Ability to influence without authority &  to manage remote teams 
• Comfortable working in fast-paced, ambiguity-rich environments 

Preferred Qualifications 

• Background as a software engineer, tech lead or similar roles 
• Leverage AI for acceleration project planning & execution 
• Experience in regulated or enterprise-scale environments 
• Scrum Master Certification (CSM, PSM I/II, SAFe SM), PMP or PgMP certification 

 At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams. 

• Impact-driven projects – Be part of initiatives that shape how companies innovate with AI and technology. 
• Remote-first culture – Work from wherever you feel most productive. 
• Flexible working hours – We focus on outcomes, not clocking in. 
• Competitive compensation – Fair, transparent pay aligned with market standards. 
• Continuous learning & mentorship – You’ll have access to experienced mentors and growth opportunities to keep developing your skills. 

At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth.  ID: P03

Contract Type: Full-Time Contract Location: India Remote only This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required. Role Overview Designs, builds, and maintains scalable cloud infrastructure using IaC  and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale.    Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure. 

• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 

• Cloud Management: Deploy and manage cloud-based production systems  focusing on performance, scalability, and security. 

• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 

• Monitoring & Incident Response: Monitor system health and lead on-call incident resolution. 

• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 

• Teaming & Collaboration: Mentor DevOps engineers & cloud teams, collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 8+ years of overall IT experience, with 6+ years in DevOps or cloud-native engineering roles. 

• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 

• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS /Azure/GCP — compute, networking, storage, IAM, and security services. 

• Containers: Kubernetes (EKS, AKS), Helm, Docker. 

• IaC: Terraform at enterprise scale; policy enforcement and drift management. 

• Configuration Management : Ansible or similar  

• CI/CD: GitHub Actions, GitLab CI, Jenkins, or equivalent; GitOps tooling. 

• Observability: Prometheus, Grafana, CloudWatch, Azure Monitor, distributed tracing. 

• Programming: Python/Node.js for automation, integrations, and AI-assisted tooling; ability to consume AI/ML APIs and SDKs. 

• Security: Cloud IAM design, RBAC, OIDC federation, OPA, and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 

• Strong design thinking and structured problem-solving approach. 

• Clear, confident communication with both technical peers & non-technical stakeholders. 

• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 

• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams. 

• Impact-driven projects – Be part of initiatives that shape how companies innovate with AI and technology. 

• Remote-first culture – Work from wherever you feel most productive. 

• Flexible working hours – We focus on outcomes, not clocking in. 

• Competitive compensation – Fair, transparent pay aligned with market standards. 

• Continuous learning & mentorship – You’ll have access to experienced mentors and growth opportunities to keep developing your skills. 

At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth.  ID: P04

AI FIRST – Principal Engineer  Tamil Nadu (Remote) - Full-time (40 hrs/week)  Experience: 8–10 Years  Job Description  We're looking for a Principal Engineer to serve as a technical anchor for our AI-first engineering organization. In this role, you'll drive the architecture and technical direction of our most complex systems, define engineering standards across the team, and ensure our AI-powered products are built to scale. You'll work closely with the Tech Lead and senior stakeholders to translate business goals into robust, forward-thinking technical solutions — while also being deeply hands-on when it matters.  Key Responsibilities  Full Stack Development 

• Lead the technical design of large-scale, cross-cutting full-stack initiatives. 

• Define and enforce engineering standards, patterns, and best practices across teams. 

• Implement full-stack features using React.js, Next.js, and TypeScript on the frontend, with Python (FastAPI) and/or Node.js backends. 

• Architect and oversee microservices, APIs, and service integration strategies. 

• Own and evolve AWS-based infrastructure for web and backend workloads, using Terraform for infrastructure as code. 

• Lead containerization and orchestration strategy using Docker and Kubernetes. 

• Drive system reliability, security architecture, and cost optimization across services. 

• Size and estimate projects across full-stack and AI workstreams; guide planning and prioritization. 

• Operate within an Agile delivery model, using Jira for planning and cross-team coordination. 

• Mentor senior and mid-level engineers; champion high engineering standards through code and design reviews. 

AI Engineering 

• Set the technical direction for GenAI development, including model selection, pipeline architecture, and scalability strategy. 

• Define and own best practices for LLM development, evaluation, and production deployment. 

• Architect end-to-end LLM pipelines from experimentation to production, including RAG systems and retrieval infrastructure. 

• Develop and standardize advanced prompt engineering frameworks across the team. 

• Lead rigorous model evaluations and define performance optimization strategies. 

• Design and oversee CI/CD pipelines tailored for AI systems. 

• Architect and maintain AWS-based infrastructure for AI workloads (SageMaker, etc.). 

• Build and evolve monitoring, observability, and evaluation tooling for LLM applications. 

Candidate Requirements 

• 8–10 years of software engineering experience, including meaningful time in senior or lead roles. 

• Deep full-stack development expertise using React.js, Next.js, and TypeScript. 

• Strong proficiency in Python (FastAPI) and/or Node.js for backend services. 

• Proven track record of building and deploying LLM or GenAI applications in production at scale. 

• Deep understanding of prompt engineering, LLM evaluation, and RAG systems. 

• Expert-level knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes. 

• Strong experience with Terraform and CI/CD pipelines (GitHub Actions or similar). 

• Excellent background in system design, API architecture, distributed systems, and microservices. 

• Experience driving engineering standards, cross-team alignment, and technical decision-making. 

• Strong communication skills — able to influence technical direction with peers and leadership. 

Good to Have 

• Experience with fine-tuning, RLHF, or training LLMs. 

• Familiarity with LangChain, LlamaIndex, or similar frameworks. 

• Background in MLOps, model monitoring, and AI observability. 

• Experience with A/B testing and experimentation frameworks. 
• Open-source contributions or thought leadership in GenAI or distributed systems. 

ID: P05