Guduvancheri Tamil Nadu Cloud / devops Jobs – 42 Open Jobs Today

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- Azure
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- AWS
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Technical Lead

Prodapt -
Guindy, Chennai, Tamil Nadu

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Job details

Qualifications

CI/CD
Data modelling
Azure
Law
React
Kubernetes
DevOps
System design
NoSQL
Test-driven development
English
Japanese
Master's degree
Application development
Databases
Microservices
SQL
AWS
Docker
Cloud development
JavaScript
Distributed systems
Terraform
Continuous integration
Back-end development
REST
Scrum
Telecommunication
APIs
Scalability
Agile
UI
Unit testing
AI
Leadership
TypeScript
Python
Debugging
Identity & access management
SDLC
Design patterns

Full job description

Overview:

The Technical Lead is responsible for owning the technical execution and engineering delivery of complex application and AI-enabled solutions across the software development lifecycle. This role serves as the primary technical authority for the engineering team, translating architecture and business requirements into executable technical plans, ensuring delivery quality, and guiding engineers through implementation.

The Technical Lead manages the day-to-day technical delivery of engineering teams comprising junior, mid-level, and senior software engineers, working closely with Forward Deployed Engineers (FDEs) on customer-driven solution implementation and Technical Program Managers (TPMs) on delivery planning, milestone tracking, and dependency management.

The role requires strong expertise in system design, cloud-native development, AI application integration, engineering quality practices, and technical mentoring, with accountability for technical stability, delivery predictability, and implementation excellence.This role requires relocation to Japan. Candidates must be open to relocating as part of their employment with us.

Responsibilities:

Own the technical execution of software delivery across engineering workstreams, ensuring alignment with business requirements and solution architecture
Break down high-level architecture into implementable technical components, APIs, services, and engineering tasks
Lead system design discussions across application, data, and integration layers
Define and enforce engineering standards across development, testing, deployment, and documentation
Guide and support SDE1, SDE2, and SDE3 engineers in implementation, debugging, and technical problem-solving
Conduct code reviews and ensure adherence to coding standards, maintainability, and architectural integrity
Collaborate with FDEs on AI application integration patterns including LLM workflows, RAG pipelines, and agent orchestration
Work with TPMs to support effort estimation, technical dependency planning, and delivery sequencing
Identify technical risks early and define mitigation strategies across system design, integrations, and delivery execution
Ensure implementation of testing strategies including unit testing, integration testing, contract testing, and performance validation
Oversee CI/CD implementation and deployment readiness across development environments
Ensure observability, monitoring, and operational readiness are embedded into engineering solutions
Support incident troubleshooting and root cause analysis for production issues
Mentor engineers and support technical capability growth across the team
Improve team productivity by promoting engineering accelerators, automation, and effective use of AI-assisted development tools

Requirements:

Experience

8 to 10 years of software engineering experience
At least 2 to 4 years of technical leadership experience leading software engineering teams or major system components
Experience delivering enterprise-grade systems in complex engineering environments

AI Application Engineering

Working knowledge of LLM-based application development and applied AI integration patterns
Understanding of RAG architecture, retrieval optimization, and evaluation loops
Familiarity with guardrails, prompt workflows, and AI reliability mechanisms
Ability to support engineering teams implementing AI-enabled application workflows

System Design & Application Architecture

Strong hands-on expertise in system design and application architecture
Strong understanding of microservices architecture, service boundaries, and API contracts
Experience in distributed systems design, asynchronous processing, and event-driven patterns
Strong understanding of design patterns, SOLID principles, and modular application design
Experience designing systems for scalability, fault tolerance, and maintainability

Backend Engineering

Strong hands-on backend development experience using Python and/or JavaScript/TypeScript
Strong expertise in FastAPI or equivalent backend frameworks
Strong understanding of REST API principles, service orchestration, and integration patterns
Experience with asynchronous workflows and backend performance optimization

Frontend Engineering

Working knowledge of frontend development using React and modern UI frameworks
Understanding of frontend integration patterns and real-time interaction mechanisms (e.g., SSE)
Ability to guide frontend engineers on implementation quality and architecture alignment

Data Engineering & Data Handling

Strong understanding of data modeling and data flow design
Experience with SQL and NoSQL databases
Understanding of data pipelines, transformations, and data quality practices
Experience handling structured and semi-structured application data

Cloud & DevOps

Strong experience with Docker, Kubernetes, and containerized deployments
Strong understanding of CI/CD pipelines and release automation
Experience with Infrastructure-as-Code (Terraform)
Experience deploying applications in cloud environments (AWS, Azure, GCP)
Strong understanding of environment management and release strategies

Testing & Quality Engineering

Strong understanding of Test Driven Development (TDD)
Experience implementing unit, integration, and end-to-end testing strategies
Strong debugging and troubleshooting capability
Experience driving engineering quality improvements across teams

Security & Observability

Understanding of IAM, OAuth2, API security, and access control patterns
Understanding of secure application design principles
Experience implementing observability using Prometheus, Grafana, and OpenTelemetry
Strong understanding of logging, monitoring, and production diagnostics

Delivery Collaboration

Ability to collaborate effectively with TPMs on delivery planning and dependency management
Ability to collaborate with FDEs on customer-driven technical implementations
Strong understanding of Agile/Scrum engineering workflows
Experience working in structured sprint-based engineering environments

Soft Skills

Strong technical leadership and engineering decision-making capability
Strong mentoring and team enablement capability
Ability to communicate technical trade-offs clearly to both technical and business stakeholders
Strong problem-solving and root cause analysis mindset
High ownership and accountability for technical delivery outcomes
Strong collaboration across cross-functional teams
Ability to remain effective under delivery pressure and shifting priorities

Nice to Have

Experience supporting AI-first or GenAI application delivery
Experience with vector databases and semantic retrieval systems
Experience in enterprise-scale cloud modernization or digital transformation programs
Experience in telecommunications or other regulated industries
Experience working in multicultural or distributed teams
Japanese language proficiency preferred for client-facing or Japan-based roles

Language Requirements

English: Proficiency required
Japanese: Desirable

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