Lead architecture, design and development of modern, distributed applications using modern tech stack, frameworks, and cloud-native patterns.
Provide hands-on leadership in designing system components, APIs, and integration patterns, ensuring high performance, security, and maintainability.
Define and enforce architectural standards, reusable patterns, coding practices and technical governance across engineering teams.
Guide the modernization of legacy systems into modern architectures, optimizing for resilience, observability, and scalability.
Integrate secure-by-design principles across SDLC through threat modeling, DevSecOps practices, and zero-trust design.
Drive engineering effectiveness by enhancing observability, developer metrics and promoting runtime resiliency.
Champion the responsible adoption of Generative AI tools to improve development productivity, code quality and automation.
Collaborate with product owners, platform teams, and stakeholders to align application design with business goals.
Champion DevSecOps, API-first design, and test automation to ensure high-quality and secure software delivery.
Evaluate and introduce new tools, frameworks, and design patterns that improve engineering efficiency and platform consistency.
Mentor and guide engineers through design reviews, performance tuning and technical deep dives.
Education*
Graduation / Post Graduation : BE/B.Tech/MCA
NA
Experience Range*
17 to 20 Years
Foundational Skills*
Proven expertise in architecting large-scale distributed system with a strong focus on Java-based cloud-native applications using Spring Boot, Spring Cloud and API-first design; experience defining reference architectures, reusable patterns, and modernization blueprints.
Deep hands-on experience with container orchestration platforms like Kubernetes/OpenShift including service mesh, autoscaling, observability and cost-aware architecture.
In-depth knowledge of relational and NoSQL data platforms (e.g.: Oracle, PostgreSQL, MongoDB, Redis) including data modeling for microservices, transaction patterns, distributed consistency, caching strategies, and query performance optimization.
Expertise in CI/CD pipelines, GitOps and DevSecOps practices for secure, automated application delivery; strong understanding of API lifecycle, runtime resiliency, and multi-environment release strategies.
Strong grasp of threat modeling, secure architecture principles, and zero-trust application design with experience in integrating security throughout the software development lifecycle.
Demonstrated experience using GenAI tools (e.g.: GitHub Copilot) to enhance the software development lifecycles – prompt engineering for code generation, automated test creation, refactoring, and architectural validation – with a responsible use, prompt design and maximizing engineering efficiency.
Desired Skills*
Experience modernizing legacy applications to modern cloud native architectures [e.g.: Microservices, Event-Driven etc.]
Experience with big data platforms or architectures supporting real-time or large-scale transactional systems would be a big plus.
Exposure to AI/ML workflows, including integration with ML APIs, and orchestration of AI-powered features.
Demonstrated ability to explore emerging technologies like platform engineering, internal developer tooling and AI-augmented architecture.