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Weekday AI

Engineering Lead

Bengaluru
Level
Lead

Not stated in the posting: salary, work type, visa.

Open. First seen 23 October 2026.

About the role

This role is for one of Weekday’s clients
Salary range: Rs 4000000 - Rs 4500000 (ie INR 40 - 45 LPA)

Min Experience: 10+ years
Location: Bangalore
JobType: full-time

We are looking for an experienced Engineering Lead to drive product development, lead engineering teams, and design scalable, reliable, and high-performance software systems. The ideal candidate will combine strong hands-on technical expertise with technical leadership, architectural decision-making, and a product-oriented mindset.

The role requires extensive experience in Python development, AWS services, infrastructure automation using Terraform, API development, database management, and containerization. The Engineering Lead will work closely with cross-functional stakeholders to translate business requirements into technical solutions, guide engineering best practices, and ensure timely delivery of high-quality products.

Requirements

Key Responsibilities

  • Technical Leadership: Lead and mentor software engineers, establish engineering standards, conduct code reviews, and promote best practices across the development lifecycle.
  • Product Development: Drive end-to-end product development, from requirements gathering and architecture design to implementation, testing, deployment, and continuous improvement.
  • Backend Development: Design and develop scalable backend applications, APIs, and services using Python, FastAPI, and related technologies.
  • Cloud Infrastructure: Build, deploy, and manage cloud-based applications using AWS services, ensuring scalability, availability, security, and performance.
  • Infrastructure as Code: Implement and maintain infrastructure automation using Terraform to enable consistent, repeatable, and reliable deployments.
  • Database Management: Design, optimise, and maintain database solutions using PostgreSQL and other relational or NoSQL databases.
  • Data Engineering: Oversee the development and optimisation of ETL/ELT pipelines, data workflows, and large-scale data processing systems using Apache Airflow and Apache Spark.
  • Containerisation and Deployment: Use Docker and Kubernetes to build, package, deploy, and manage applications across development and production environments.
  • CI/CD and Automation: Establish and improve CI/CD pipelines using GitHub Actions, Jenkins, and related tools to streamline software delivery.
  • Architecture and Problem-Solving: Make sound architectural decisions, identify technical risks, and resolve complex engineering challenges.
  • Agile Delivery: Lead engineering teams using Agile or Kanban methodologies, manage priorities, and ensure predictable delivery of development milestones.
  • Stakeholder Management: Collaborate with product managers, business teams, and other stakeholders to align technical execution with product goals and business priorities.

Must-Have Skills

  • Python Development: Strong hands-on experience building backend applications, services, and APIs using Python.
  • AWS Services: Practical experience designing, deploying, and managing cloud-native applications and infrastructure on AWS.
  • Terraform / Infrastructure as Code: Proficiency in automating infrastructure provisioning, configuration, and management using Terraform.
  • FastAPI: Experience developing high-performance REST APIs and backend services.
  • PostgreSQL: Strong understanding of relational database design, SQL, query optimisation, and performance tuning.
  • Product Development: Experience owning technical delivery and translating product requirements into scalable software solutions.
  • Docker: Hands-on experience with containerisation and application deployment.
  • Technical Leadership: Experience mentoring engineers, driving engineering standards, and managing technical delivery.
  • Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

Good-to-Have Skills

  • JavaScript and TypeScript
  • Node.js and React.js
  • Modern software architecture and distributed systems
  • AWS Lambda, API Gateway, ECS/EKS, S3, Glue, EMR, SNS, SQS, and EventBridge
  • Apache Airflow and Apache Spark
  • ETL/ELT pipelines and data engineering
  • Amazon Redshift and MongoDB
  • Kubernetes and container orchestration
  • GitHub, GitHub Actions, Jenkins, and CI/CD automation

Required Qualifications and Experience

  • 10–15 years of overall experience in software engineering, with at least 2–3 years in a technical leadership role.
  • Strong hands-on expertise in Python development, AWS services, Terraform, FastAPI, PostgreSQL, and Docker.
  • Proven experience designing and delivering scalable, production-grade software products.
  • Experience leading engineering teams, mentoring developers, and driving code quality and technical excellence.
  • Good understanding of cloud architecture, API design, databases, data processing, and deployment automation.
  • Experience working in Agile or Kanban environments.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • A product-oriented mindset with the ability to balance technical quality, delivery timelines, and business objectives.

The team: Weekday's Client via platform HIRES STEADILY

This role is one of 275 open in Weekday's Client via platform. 154 were posted in the last 30 days and the oldest in September: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (93 of 275), CI/CD (79 of 275), AWS (72 of 275), SQL (72 of 275), Azure (55 of 275), REST (52 of 275), GCP (45 of 275)

OTHER ROLES ON THIS TEAM

From the team and dates on Weekday AI's own job board.

Salary context

5 other open postings titled Engineering Lead state a salary: median USD 190,000 to USD 240,000 a year.

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