Engineering Manager

About the Role
We’re looking for a technically strong and solution-oriented Engineering Manager to lead the design, development, and delivery of secure, scalable, and high-performing digital platforms. This leadership role combines deep technical expertise across frontend and backend domains, a strong grounding in agile delivery, and a track record of building innovative, AI-enabled solutions. You will shape architecture, elevate engineering practices, and grow a high-performing team capable of delivering across the entire stack—end to end.

What You'll Do

• Technical & Architectural Leadership

  • Define and drive architecture decisions across both frontend and backend systems, leveraging microservices, micro frontends, and component-based design.
  • Architect and maintain cloud-agnostic solutions capable of running on AWS, GCP, or Azure—ensuring portability, fault tolerance, and vendor flexibility.
  • Ensure robust integration patterns, state management, and contract-first APIs that enable modular development and scale.

• Full Stack Execution & Optimization

  • Lead complex feature development and system modernization using technologies like React, TypeScript, Node.js, Python, Go, GraphQL, and RESTful APIs.
  • Champion performance optimization, including latency reduction, smart caching, async processing, and responsive, AI-enhanced UI rendering.
  • Enforce secure coding practices, mitigate OWASP vulnerabilities, and ensure data protection throughout the application lifecycle.

• Agile Delivery & Iterative Execution

  • Lead engineering planning, sprint execution, and iterative releases aligned with Agile, Scrum, or Kanban practices.
  • Own the full delivery pipeline—from backlog grooming and estimation to UAT, deployment, and post-release tracking.
  • Drive continuous delivery, automated testing, and incremental value delivery through cross-functional coordination.

• AI-Driven Product Integration

  • Collaborate with AI/ML teams to deliver intelligent UI elements, LLM-integrated AI use cases, and dynamic backend services for personalized and automated experiences.
  • Optimize data handling and model interfacing across the stack to ensure explainability, reliability, and responsiveness in AI features.

• Security, Compliance & Observability

  • Embed data security, role-based access control (RBAC), encryption, and compliance readiness (e.g., GDPR, SOC2) into the stack.
  • Ensure frontend and backend observability with proper logging, metrics, tracing, and alerting tools.
  • Contribute to audits and internal reviews by maintaining traceable and documented release processes.

• Team Leadership & Engineering Excellence

  • Build and lead a high-impact engineering team across full stack roles.
  • Set clear performance goals, provide career growth opportunities, and foster a culture of accountability, collaboration, and innovation.
  • Guide the team in following clean code principles, TDD/BDD, version control best practices, and modular, testable design.

• Cross-Functional Collaboration

  • Work closely with product managers, designers, DevOps, QA, security, and data teams to drive seamless feature delivery and user impact.
  • Facilitate cross-team initiatives, architectural alignments, and knowledge sharing across squads.

What You'll Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software engineering, including 2+ years in a technical leadership or management role.
• Strong expertise in modern frontend frameworks (React, Angular, Vue) and backend stacks (Node.js, Python, Java, Go).
• Experience with microservices, event-driven systems, containerization (Docker, Kubernetes), and cloud-agnostic architectures.
• Deep understanding of secure coding, performance optimization, and enterprise-grade system design.
• Practical experience with Agile methodologies, sprint planning, iterative releases, and CI/CD pipelines.
• Proven ability to lead teams through technical challenges, architecture discussions, and high-pressure delivery milestones.

Great Pluses / Preferred Experience

• Master’s degree in Computer Science, Software Engineering, or related discipline.
• Experience building AI-enabled products, including integration of LLMs, intelligent agents, and workflow automation.
• Familiarity with design systems (Storybook, TailwindCSS), and observability tools like Prometheus, Grafana, ELK, Datadog.
• Exposure to serverless, multi-tenant systems, and horizontal scaling strategies.
• Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.