SDE - 3

Responsibilities:

• Adopt Agentic SDLC with an AI first mindset - not just for generating code but building and orchestrating agents that take care of E2E SDLC including designing, coding, reviewing, testing, productionizing, monitoring, detecting/mitigating incidents, etc.
• Design, build, and operate backend services and systems using Golang, with high standards of code quality, reliability, and performance.
• Lead architectural discussions and drive the evolution of our system architecture. Propose and own abstractions, APIs, and contracts with well-thought separation of concerns.
• Take on high-complexity modules or systems: define interfaces, data models, error handling, and interactions across components.
• Perform impact analysis and incremental architectural changes (refactors, versioning, migrations) in a live production system.
• Work on performance tuning, capacity planning, resource optimization, and system reliability (e. g., latency, throughput, consistency).
• Collaborate closely with product, design, data, and operations teams to translate feature requirements into robust, scalable solutions.
• Mentor junior engineers: do design reviews, pair program, guide them in best practices, and help them grow.
• Lead cross-team initiatives or infrastructure projects that span multiple services or domains.
• Define metrics, data collection, and monitoring (SLOs, SLIs, alerts) to ensure service health and provide feedback loops.
• Conduct postmortems and drive continuous improvement in processes, tooling, and systems.

Requirements:

• 5-8 years of hands-on backend engineering experience (or equivalent) building production systems at scale.
• Trailblazer in Agentic SDLC adoption
• Strong understanding of concurrency, distributed systems, consistency models, fault tolerance, data partitioning, caching, and messaging systems.
• Experience designing, building, and scaling APIs (REST, gRPC), service-to-service communication, and service meshes.
• Good knowledge of databases (both SQL and NoSQL), caching systems (Redis, Memcached, etc. ), message queues (Kafka, RabbitMQ, etc. ), and search/indexing systems.
• Experience in performance optimization, profiling, scaling (CPU, memory, IO), latency analysis, and capacity planning.
• Experience with CI/CD pipelines, test automation (unit, integration, end-to-end), code quality tooling, and observability (metrics, logs, tracing).
• Excellent problem-solving ability, ability to break down complex issues, and focus on pragmatic solutions.
• Strong communication skills, able to discuss design trade-offs, present to stakeholders, and drive consensus.
• Experience in mentoring, reviews, leading technical initiatives, and shaping engineering culture.

Nice-to-haves:

• Experience in the FinTech domain of credit and payment systems.
• Experience with real-time systems, streaming data, and event-driven architectures.
• Experience working in a social / consumer-facing / real-time / high-traffic product company.
• Understanding of security, encryption, authentication, rate-limiting, and resilience patterns (circuit-breaker, bulkhead, and backpressure).