Senior Engineering Manager

Proven track record in leading high-performing engineering teams, driving process improvements, and successfully delivering complex projects.

Led engineering strategy development and execution across multiple teams (Engineering, DevOps, SysAdmin, QA), defining quarterly OKRs and roadmaps to align with business objectives.

Established comprehensive engineering excellence framework including coding standards, career progression paths, and critical operational policies.

Successfully conducted technical due diligence during investment rounds, presenting technology infrastructure to potential investors.

Developed and implemented key organizational policies including incident management, deployment guidelines, and security protocols.

Streamlined recruitment process and managed performance reviews, resulting in improved team composition and capabilities.

Architected and implemented full-stack solutions using TypeScript, Node.js backend and Next.js frontend with Styled Components.

Designed and optimized serverless architecture utilizing AWS Lambda, Step Functions, State Machine, ECS, API Gateway, and multiple databases (DynamoDB, MongoDB, Postgres, MariaDB, OpenSearch).

Implemented GraphQL for frontend requests and REST APIs for backend services, improving system connectivity and data flow.

Established robust CI/CD pipelines using GitHub Actions and Jenkins, incorporating quality gates and security checks.

Integrated SonarCloud for static code analysis, enhancing code quality across all repositories.

Spearheaded infrastructure stability and security improvements while optimizing operational costs.

Implemented automated testing framework using Jest for backend/frontend and Playwright for E2E testing.

Created reusable tooling modules for logging, database connectivity, parameter store integration, and reusable libraries.

Designed and implemented microservices architecture using AWS ECS, documented with OpenAPI specifications.

Enhanced creation and deployment processes through standardized templates and automated pipeline creation.

Successfully delivered multiple projects on schedule while maintaining high quality standards and best practices.

Conducted regular 1-on-1s and mentoring sessions, fostering team growth and professional development.

Participated in cross-functional management meetings, ensuring alignment between technical initiatives and business goals.

Identified and addressed knowledge gaps through targeted mentoring and training programs.

Implemented atomic design principles for frontend development, improving component reusability and maintenance.

Designed and built microservices infrastructure for highly available, scalable applications.

Created and managed an auto-scaling ECS cluster on AWS, ensuring high availability and performance.

Replicated infrastructure on Azure using DC/OS and Azure services to ensure multi-cloud support.

Managed microservices written in Node.js and Java Spring Boot, including public-facing and internal services like Configuration Server.

Deployed containerized applications using AWS ECR and Azure Container Registry.

Developed Lambda functions in Node.js and Python for deployment automation and task orchestration.

Improved system scalability and efficiency by outsourcing bcrypt logic into a standalone service.

Recommended and implemented common modules for microservices to streamline development and maintain consistency.

Automated deployment pipelines using CI/CD practices, enabling seamless setup upon repository creation.

Implemented automation tests and static code analysis with SonarQube to ensure code quality.

Unified log outputs from Java and Node.js microservices for export to the ELK stack, improving monitoring and debugging capabilities.

Developed an authentication microservice using Spring Boot to handle end-user login and authorization processes.

Set up Kafka and ZooKeeper clusters using Ansible on both AWS and Azure to support distributed data streaming.

Successfully deployed and managed multi-cloud environments (AWS and Azure) for resilient microservices infrastructure.

Streamlined development processes with automation, improving deployment speed and code quality.

Improved system scalability and resource efficiency through infrastructure optimization and microservice modularity.