Key skills
AWSAzureCloudDockerGrafanaGraphQLJavaJavaScriptKubernetesMicroservicesMongoDBNode.jsNoSQLPostgresPythonReactRedisSQLAIGitHub ActionsAzure DevOpsPostgreSQLGitGitHubCI/CDLeadershipChange Management
About this role
Role Overview
- Hands-on Technical Leadership
- Remain actively involved in architecture, system design, and selected critical implementations
- Guide engineers through complex problem-solving, technical trade-offs, and system evolution
- Drive adoption of modern technologies to improve engineering productivity and quality
- Ensure systems are designed for scalability, multi-tenancy, and long-term maintainability
- Lead code and design reviews, maintaining a consistently high engineering standard
- AI-enabled Engineering
- Define and implement a structured approach to AI adoption across engineering workflows.
- Ensure AI usage is embedded in daily workflows rather than ad-hoc: AI-assisted coding, reviews, and refactoring
- Automated test generation and QA acceleration
- Intelligent debugging and root cause analysis
- Measurable (productivity, defect reduction, cycle time)
- Secure and compliant adaption
- Drive consistency in tooling and practices across teams to avoid fragmentation
- Delivery & Execution
- Own delivery predictability across multiple parallel initiatives
- Balance delivery speed, quality, and technical debt
- Ensure prioritization is clear and aligned with business objectives
- Actively manage cross-team dependencies and integration points
- Transition teams from reactive execution to structured, planned delivery
- Engineering Process & Standardization
- Establish scalable and consistent engineering processes: Sprint planning, backlog management, and delivery tracking
- Release management with rollback capabilities
- Incident, problem, and change management discipline
- Introduce practical standards that improve speed and reduce ambiguity without over-engineering
- Reduce reliance on individuals through improved documentation, automation, and knowledge sharing
- Team Development & Scaling
- Build and scale a high-performing engineering team
- Coach engineers and develop emerging technical leaders (senior engineers, tech leads)
- Increase delegation and distributed ownership to remove bottlenecks
- Strengthen accountability and outcome-oriented delivery culture
- Quality, Reliability & Performance
- Improve system reliability through better engineering practices and architectural discipline
- Ensure a scalable testing strategy across units, integration, regression, and automation layers
- Partner with DevOps/SRE to strengthen observability and operational excellence
- Drive continuous improvement through incident learnings and performance insights
Requirements
- 10+ years of software engineering experience
- 3+ years in engineering leadership roles in growth or scale-up environments
- Strong hands-on experience with: Node.js / Java / Python
- React / modern frontend frameworks
- SQL (PostgreSQL) / NoSQL (MongoDB, Redis)
- Kubernetes, Docker
- REST APIs / GraphQL
- Git / GitHub
- CI/CD pipelines (GitHub Actions / Azure DevOps)
- AI-assisted development tools (e.g., GitHub Copilot)
- Microservices / event-driven architecture / API design
- Monitoring & observability (preferred Grafana)
- Proven experience with cloud platforms (Azure and/or AWS) in production environments
- Experience introducing or scaling AI tools in engineering workflows
- Demonstrated track record of moving teams from ad-hoc to structured, scalable delivery models
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Grafana
- GraphQL
- Java
- JavaScript
- Kubernetes
- Microservices
- MongoDB
- Node.js
- NoSQL
- Postgres
- Python
- React
- Redis
- SQL
Benefits
- Flexible work arrangements
- Professional development