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Tier-1 brand, generic Software Engineer title, mid-level experience, and metro location increase candidate competition.
Core SRE, Kubernetes, AWS, and observability skills are highly transferable across industries.
Explicit 5+ years requirement, certifications, and specialized cloud/SRE/AIOps skills raise filtering strictness.
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Design and deliver scalable, secure AI-assisted technology products aligned to business requirements.
Develop and maintain observability, automation, and self-healing workflows for AI platforms and applications.
Drive AI-assisted Site Reliability Engineering (SRE) roadmap execution, mentor engineers, and manage global stakeholder dependencies ensuring SLAs and compliance.
5+ years of software engineering experience with formal training/certification.
AWS certifications Associate Architect or Developer; Certified Kubernetes Application Developer (CKAD) mandatory.
Strong hands-on proficiency in AWS services including ECS, Lambda, API Gateway, Bedrock, CloudWatch, RDS, and EKS.
Proven expertise in Java Core/EE with Spring Boot, Spring MVC, Spring Cloud, CI/CD tools (GitHub Actions, Jenkins, Spinnaker), scripting (Bash/PowerShell), testing frameworks (JUnit, Selenium, Cucumber, Mockito), and observability tools (OpenTelemetry, Grafana, Prometheus, ELK).
Experienced in applying enterprise-authorized AI-assisted software development tools critically and securely within Agile environments.
Skilled in SRE/DevOps with a focus on improving reliability, automation, and platform engineering at scale.
Hands-on experience integrating Large Language Model (LLM) APIs in AWS environments and guiding responsible AI use including data sensitivity and secure practices.