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 the integration of GenAI capabilities into products to improve intelligence, automation, and user experience.
Responsibilities
- Own product backend vision, architecture implementation, release, scale health.
- Lead squads across the product lifecycle planning, execution, delivery, and continuous improvement.
- Defines 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 the cloud.
- Champion backend quality testing strategies, operational automation, and 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. ).
Requirements
- Experience: 6-12 Years.
- Hands-on experience in GenAI integrating AI models into applications, vector databases, orchestration frameworks, or automation using LLMs.
- (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, governance.
- Relational + NoSQL databases, data modeling, and performance tuning.
- Caching strategies (Redis/Memcached), queueing, and asynchronous workflows.
- Containerization, Kubernetes orchestration in cloud environments (AWS/Azure/GCP).
- Monitoring, alerting, loggingend-to-end observability.
- Secure coding, IAM, VPC networking, audit, and compliance considerations.
- Solid understanding of how to measure AI performance, latency, accuracy, guardrails, and cost optimization.
Strong Fundamentals
- Design patterns, DDD, clean architecture.
- Fault tolerance, backpressure, graceful degradation.
Team And Leadership Accountability
- Work with Engineering Managers to define scope, timelines, and delivery goals.
- Be the final technical authority on backend decisions within your product space.
- Mentor senior engineers into independent technical leads.
- Foster a culture of ownership, transparency, and continuous learning.
- Influence hiring, tech evaluations, and capability building for backend teams.
- Drive post-incident reviews and long-term preventive solutions.
Bonus To Have
- High-scale fintech, payments, trading, or mission-critical system experience.
- Experience with edge performance, analytics pipelines, or event sourcing.
- Contributions to community, blog posts, and architectural frameworks.
This job was posted by Ranjana S Bhushan from CAW Studios.
