Engineering Lead

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.
• 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.
• 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
• 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.

Must-Have Skills

Good-to-Have Skills

Required Qualifications and Experience

Qualifications

• 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.