Backend Engineer Lead

2 weeks ago

Hyderabad, Telangana, India Payswiff Solutions Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Role & responsibilities :

  • Lead and mentor backend engineers while contributing code, reviews, and architectural guidance for scalable, resilient distributed services and data platforms.

  • Architect and implement fault-tolerant microservices with patterns such as circuit breakers, bulkheads, idempotency, and saga/transactional outbox where appropriate.

  • Embed application security into SDLC: threat modelling, secure design reviews, secure coding standards, dependency hygiene, and security test automation (SAST/DAST).

  • Apply secure coding practices in Java/Spring: validation/encoding, parameterized queries, secrets management, method-level authorization, CSRF protections, and audit logging.

  • Establish observability baselines for services: metrics, logs, traces, health checks, SLOs/SLIs, alerting, and incident response workflows.

  • Drive end-to-end product development from scratch: from requirements and domain modelling to architecture, implementation, deployment, and iterative scaling.

  • Partner with product, security, and compliance to meet fintech-grade reliability, security, and regulatory expectations across integrations and data flows.

  • Champion dependency and vulnerability management, regular updates, and secure third-party/library usage policies.

Preferred candidate profile :

  • 10+ years in backend engineering with 2 to 3+ years leading teams or as a tech lead, delivering high-scale distributed systems in production.

  • Expert-level proficiency in Java, Spring Boot, and Spring Framework; strong grasp of reactive and synchronous service patterns.

  • Proven experience designing and operating fault-tolerant microservices with strong consistency/availability trade-offs and resiliency patterns.

  • Demonstrated application security and secure coding experience aligned to OWASP practices, including input validation, output encoding, authN/Z, session management, crypto, logging/auditing, and dependency management.

  • Hands-on with observability tooling and practices for metrics, logs, traces, and alerting; defining SLOs and improving MTTR.

  • Track record of building products from zero-to-one through scale, including data modelling, service decomposition, and operability.

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