Lead Software Engineer

1. Software Engineering & Craftsmanship

• Develop high‑quality, maintainable code using Software Craftsmanship principles such as:
  • Test-Driven Development (TDD)
  • Continuous Integration / Continuous Delivery / Continuous Deployment
  • Clean code, refactoring, SOLID principles
• Participate actively in design reviews and code reviews to ensure engineering excellence.
• Implement quick POCs using the latest tech stack to validate ideas and technical feasibility.
• Apply design patterns and engineering best practices for scalable and maintainable solutions.
• Collaborate in all phases of the SDLC, with strong understanding of Agile/Scrum or continuous delivery environments.

2. Big Data Engineering & Distributed Systems

• Lead development of large-scale ETL/ELT pipelines using Apache Spark (Java/Scala).
• Oversee data processing frameworks in Hadoop and Hive, especially within Azure-based ecosystems.
• Optimize Spark/Hive workloads for cost, performance, and reliability.

3. Cloud, Kubernetes & Infrastructure Engineering

• Lead architecture and operations of distributed applications running on:
  • Kubernetes (On-Prem + AKS)
  • Docker
• Drive adoption of Helm, container standards, and cluster best practices.
• Build and maintain Azure infrastructure using Terraform (IaC) with reusable, scalable modules.
• Ensure end-to-end observability of clusters using Prometheus, ELK, APM tools, and custom Python scripts.

4. DevOps Engineering & CI/CD Leadership

• Define and own the platform CI/CD strategy using:
  • GitHub Actions
  • Jenkins
  • Terraform automation
• Build standardized CI/CD frameworks for 50+ microservices, leveraging Helm and automated build workflows.
• Automate DNS creation, certificate management, APM integration, user management, Vault policy creation, and repository migrations (200+ repos).
• Champion an automation-first mindset across the engineering and SRE teams.
• Coordinate with developers and testers for smooth deployment and production readiness.

5. Database Engineering

• Provide leadership on PostgreSQL cluster management:
  • HA setup
  • Performance tuning
  • Failover mechanisms
  • Monitoring dashboards
• Automate PostgreSQL operations using Python and infrastructure scripts.

6. Observability, Stability & Support

• Ensure reliability and availability of services across stacks (Java, Angular, .NET).
• Implement monitoring and alerting using Prometheus, Grafana, ELK, Elastic APM.
• Oversee production stability through proactive dashboards and automated health checks.
• Provide guidance for L2/L3 support and participate in incident review and resolution.

7. Leadership & Collaboration

• Lead a cross-functional team of developers, DevOps engineers, and data engineers.
• Translate business requirements into technical designs and actionable backlogs.
• Mentor team members on coding practices, DevOps processes, and cloud-native patterns.
  • Collaborate with distributed teams and communicate effectively with technical and non-technical stakeholders.