Solutions Architect

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, governance

Relational + NoSQL databases, data modeling and performance tuning

Caching strategies (Redis / Memcached), queueing, asynchronous workflows

Containerization + Kubernetes orchestration in cloud environments (AWS / Azure / GCP)

Monitoring, alerting, logging — end-to-end observability

Secure coding, IAM, VPC networking, audit & compliance considerations

Solid understanding of how to measure AI performance — latency, accuracy, guardrails, cost optimization

Strong fundamentals :

Design patterns, DDD, clean architecture

Fault tolerance, backpressure, graceful degradation

Team & Leadership Accountability Work with Engineering Managers to define scope, timelines, 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, architectural frameworks.