Senior Engineer

Build and operate reliability and resilience capabilities for a multi-cloud platform, including chaos engineering, observability-driven validation, failover testing, and resilient distributed systems. The role requires 6–9 years of software engineering experience and hands-on expertise with Java, Kubernetes, cloud platforms, and CI/CD.

About the job

Responsibilities

Reliability & Resilience Engineering

Design and implement resilience strategies across AWS, Azure, and Google Cloud environments.
Support chaos engineering initiatives and integrate experiments into CI/CD pipelines.
Validate RTO, RPO, SLO, and recovery objectives using metrics.
Follow governance controls for chaos experiments.
Identify and mitigate potential failure scenarios before production.

Distributed Systems & Platform Engineering

Improve resilience across databases, caching, messaging, and authentication services.
Support multi-region and cross-cloud failover validation.
Validate retry logic, circuit breakers, and graceful degradation.
Reduce cascading failures and improve system stability.

Observability & Continuous Validation

Use Grafana, Prometheus, and LogDNA for validation.
Integrate reliability checks into Jenkins CI/CD pipelines.
Ensure production readiness before releases.
Use telemetry to identify improvement areas.

Collaboration & Engineering Excellence

Work with SRE, platform, and development teams to improve resilience.
Contribute to best practices and documentation.
Participate in incident analysis and improvements.

Requirements

6–9 years of software engineering experience.
Experience with distributed systems and microservices.
Exposure to AWS, Azure, and Google Cloud services.
Hands-on Kubernetes experience, including EKS, AKS, or GKE.
Strong Java and Spring Boot skills.
Understanding of distributed-system failures and resilience patterns.
Exposure to chaos tools such as Chaos Mesh, Gremlin, or Harness.
CI/CD experience; Jenkins preferred.
Understanding of SLOs and SLIs.
Experience with Grafana, Prometheus, and LogDNA.

Nice to Have

Exposure to multi-region architecture.
Familiarity with service meshes.
Performance testing experience.
Familiarity with security tools such as Snyk.
Good communication skills.

Success Measures

Reliability checks are integrated into CI/CD.
Chaos testing improves resilience.
Failures are detected early.
System stability improves.
The team contributes to a resilience-first culture.

Skills

Java, Spring Boot, Distributed Systems, Microservices, AWS, Azure, GCP, Kubernetes, Chaos Mesh, Gremlin, Harness, Jenkins, Grafana, Prometheus, Logdna