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Open nowPosted 3 days ago

Engineering Lead

Weekday AI

Where
Bengaluru, KA, India
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Your applicationOpen nowEngineering LeadWeekday AI · Bengaluru, KA, India

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 3 days ago

The posting

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.
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