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Tech Lead

Pune, Maharashtra, India

Experience
7–10 years
Employment
Full-time
Work mode
Onsite
Salary
₹11.5 L–23.1 L / year
Deadline
Apply by 1 Nov 2026
Posted
2025-12-11

Required skills

SkillExperienceLevel
React.Js6+ yearsIntermediate
Python6+ yearsNot specified
PostgreSQL4+ yearsNot specified
UNIX Shell Scripting3+ yearsIntermediate
SQL4+ yearsIntermediate
GIT3+ yearsIntermediate
DevOps3+ yearsIntermediate
REST3+ yearsIntermediate
Fast API4+ yearsIntermediate
Django3+ yearsIntermediate
Flask3+ yearsIntermediate
AI/ML3+ yearsIntermediate

About the role

Tech Lead : (Fullstack)+AI /ML (Contract-Hire)

Duration-6 Months

Location : Pune (WFO)-4 Days / Hyderabad(only immediate joiner)

Rate:-2.00LPM+Taxes

NP-0-15 Days

Title: Technical Lead Experience: 7+ Years Location: -Pune (4 Days WFO) No.of Position:2 Type of Hire: Contract to Hire Job Description About the Role We’re hiring an Senior Software Engineer to learn, build, and ship features across the stack with Lead capability. You’ll work primarily with React (front end), Python (services/APIs), and PostgreSQL (database), while gaining exposure to CI/CD, basic SRE practices, and team delivery. This role is ideal for someone with strong programming, eagerness to learn, and a strong ownership mindset. Minimum 7+ years of experience as a Senior Software Engineer with strong stakeholder management skills and a product-oriented mindset. What You’ll Do • Implement UI components in ReactJS (hooks, routing, forms, basic state). • Build and maintain Python endpoints (FastAPI/Flask/Django REST) with unit tests. • Write and optimize SQL queries; assist with PostgreSQL schema changes and stored procedures/functions under guidance. • Automate routine tasks with UNIX shell scripting (scripts for setup, data utilities, simple deploy steps). • Contribute to Azure DevOps (ADO) pipelines and follow CI/CD workflows, code quality gates, and branching strategies. • Add logs/metrics and follow runbooks to help troubleshoot non-critical issues with senior support. • Participate in code reviews, pair programming, and design discussions; write concise docs. • Collaborate closely with designers, product managers, and QA to deliver incremental, well[1]tested features. Core Skills & Knowledge (Foundational Must-Have) • Programming fundamentals: data structures, HTTP/REST, git, debugging. • ReactJS: components, props/state, hooks, basic performance hygiene. • Python: building simple APIs, environment management, packaging basics. • SQL/PostgreSQL: joins, indexes, transactions; comfort reading/writing stored procedures/functions. • Shell scripting (UNIX): basic scripting for automation and tooling. • Azure DevOps (ADO) basics: running pipelines, reading logs, using boards/repos. • Quality practices: unit/integration tests (PyTest/Jest), linting, static analysis, secure coding basics. Nice to Have (Learn on the Job) • TypeScript on the front end; component libraries (MUI/Ant/Tailwind). • Auth (OAuth2/OIDC/JWT), OpenAPI/Swagger, basic API gateways. • Containers & Cloud: Docker; fundamentals of Azure; Infra-as-Code exposure (Bicep/Terraform). • Caching & Messaging: Redis; high-level awareness of queues/streams (RabbitMQ/Kafka). • Observability: logs/metrics/traces (e.g., OpenTelemetry), Sentry, Grafana. • Security: secrets management, dependency scanning, least privilege. • AIML familiarity (optional): consuming model endpoints, embeddings/vector stores, OCR. How You Work (Values & Behaviors) • Team collaborator: communicates clearly, asks good questions, accepts feedback, unblocks others. • Ownership & initiative: takes tasks from “ticket” to “done,” raises risks early, proposes small improvements. • Responsiveness: provides updates, meets commitments, follows through. • Growth mindset: learns quickly, documents findings, shares knowledge. • Whole-picture awareness: considers users, reliability, and cost—not just code. • Resilience: willing to support critical moments; sees problems through to resolution with guidance. Expectations & Support • Paired onboarding with a mentor; clear growth path from task-level execution to owning small modules. • Participation in out-of-hours support only when shadowing or pre-agreed with the team during critical releases. Good exposure to AI/ML projects

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