Technical Architect

Position: We are looking for a Technology Partner who can combine technology leadership with strong execution ownership in a modern cloud native and AI-led engineering environment. This role requires a strong builder mindset — leaders who think like product companies, not traditional services organizations. We are looking for someone who can drive engineering excellence, platform thinking, automation-first execution, and outcome ownership at scale. Key Responsibilities • Design scalable cloud-native technology landscapes across platforms, data, and integrations. • Infuse Co-Pilot / AI into SDLC to improve engineering productivity, quality, and release velocity. • Drive spec-driven development: o Requirements → Specs → User Stories → Test Cases → Code → Deployment. • Push PDMs, architects, and engineering teams toward stronger delivery discipline and accountability. • Establish strong engineering fundamentals: o Design validation, Code review rigor, CI/CD discipline, Automated testing, Release governance • Own delivery outcomes end-to-end: o Quality, Timelines, Release readiness, Customer confidence • Drive automation-first execution and reduce dependency on manual SDLC processes. • Operate with high ownership, urgency, and bias for action. Technical Expectations Strong understanding of modern engineering ecosystem including: Languages & Frameworks: Python, Java, JavaScript / TypeScript, Node.js, React, SQL, API-first and microservices architecture Cloud & DevOps: AWS / Azure / GCP, Kubernetes, Docker, Terraform, GitHub Actions / Jenkins, Observability and monitoring platforms AI-Led Engineering: • GitHub Copilot / Cursor / AI-assisted coding tools • LLM integration patterns • AI-driven testing and code review workflows • Agentic SDLC concepts Open Source & Platform Components: Awareness of modern open-source ecosystem including: • PostgreSQL, Redis, Kafka, Airflow, dbt, Elastic / OpenSearch, Vector databases, LangChain / orchestration frameworks Open-source LLM ecosystem (Llama, Mistral, etc.) What We Are Looking For • Strong cloud-native architecture and engineering background. • Experience driving AI-led SDLC and modern engineering practices. • Product engineering / builder mindset preferred over traditional services management mindset. • Ability to challenge teams constructively and raise the engineering bar. • Strong ownership mentality with focus on execution and outcomes. • Ability to operate effectively in fast-paced enterprise environments.