We are looking for a Backend Architect who will take full ownership of product / project areas from shaping architecture and driving execution to ensuring operational excellence in production. This role demands a rare blend of hands-on technical depth, product thinking, and leadership across multiple backend teams.
You will act as the technical owner of core systems — accountable for design, delivery, scalability, and long-term maintainability. You’ll guide engineers, influence product decisions, and ensure the backend ecosystem grows in a structured and sustainable way. You will also drive integration of GenAI capabilities into products to improve intelligence, automation, and user experience.
✅ What You Will Lead & Own
- Own product backend vision → architecture → implementation → release → scale → health
- Lead squads across the product lifecycle — planning, execution, delivery, and continuous improvement
- Define service boundaries, API contracts, data flows , and long-term technical strategy
- Partner with Product Management to shape roadmaps and make feasibility-driven decisions
- Enforce observability, resilience, security , high availability, and disaster recovery standards
- Drive performance engineering , scalability improvements, and cost optimization on cloud
- Champion backend quality — testing strategies, operational automation, CI / CD maturity
- Lead technical reviews, coaching sessions, and unblock teams on complex engineering problems
- Reduce tech debt through intentional modernization initiatives and migration strategies
- Use metrics (SLOs, error budgets, DORA metrics, etc.) to drive engineering improvements.
- Identify opportunities to adopt cutting-edge GenAI tooling — LLM APIs, embeddings, RAG workflows, agents — and ensure smooth implementation.)
- Hands-on experience in GenAI — integrating AI models into applications, vector databases, orchestration frameworks, or automation using LLMs.
🎯 Technical Expertise Required
(Stack can be any strong backend ecosystem : Node.js / Go / Java / .NET / Python )
Deep knowledge in :
Distributed systems + event-driven architecture (Kafka / Streaming platforms)API design — REST, GraphQL, versioning, governanceRelational + NoSQL databases, data modeling and performance tuningCaching strategies (Redis / Memcached), queueing, asynchronous workflowsContainerization + Kubernetes orchestration in cloud environments (AWS / Azure / GCP)Monitoring, alerting, logging — end-to-end observabilitySecure coding, IAM, VPC networking, audit & compliance considerationsSolid understanding of how to measure AI performance — latency, accuracy, guardrails, cost optimizationStrong fundamentals :
Design patterns, DDD, clean architectureFault tolerance, backpressure, graceful degradation🧩 Team & Leadership Accountability
Work with Engineering Managers to define scope, timelines, delivery goalsBe the final technical authority on backend decisions within your product spaceMentor senior engineers into independent technical leadsFoster a culture of ownership, transparency, and continuous learningInfluence hiring, tech evaluations, and capability building for backend teamsDrive post-incident reviews and long-term preventive solutions🌟 Bonus to Have
High-scale fintech, payments, trading, or mission-critical system experienceExperience with edge performance, analytics pipelines, or event sourcingContributions to community, blog posts, architectural frameworks.