Lead Site Reliability Engineer

The core responsibilities for the job include the following:

Application Development and Code Quality:

• Design and build scalable, secure, resilient cloud-native applications using modern programming languages (Java, Python, Node.js, Go, and Kotlin) and backend/frontend frameworks (like Spring Boot, Quarkus, Hibernate, React, Angular, TypeScript, and JavaScript).
• Establish coding standards, design patterns, validation strategies, and best practices; conduct thorough code reviews with constructive feedback.
• Ensure code coverage above thresholds, minimal critical defects, and production-ready code (PRs/MRs).
• Mentor team members on best practices, code refactoring, and secure coding; guide optimization for complex problems.
• Perform POCs for technology stack decisions and recommend frameworks/tools.

Cloud-Native Architecture and AWS Services:

• Deep hands-on experience with AWS services, serverless components, and containerization (Kubernetes, Docker, and ROSA).
• Strong infrastructure-as-code skills (Terraform, CloudFormation, CDK).
• Design cloud-native applications using AWS services (Lambda, ECS/EKS, API Gateway, RDS, DynamoDB, etc. ), serverless components (Lambda, Step Functions, EventBridge), and containerization (Kubernetes, Docker, ROSA), and optimize performance and resource usage.
• Adhere to cost optimization plans and proactively identify cost optimization opportunities.

Observability and Operations:

• Design applications with an SRE mindset and observability-first principles: structured logging, distributed tracing, metrics instrumentation, and operational excellence.
• Instrument applications to emit signals suitable for AI-assisted operations (like anomaly detection and auto-remediation).
• Deep understanding of production metrics, operations, and observability practices.
• Hands-on incident response, troubleshooting, and RCA experience.
• Query monitoring tools (Dynatrace, Grafana, CloudWatch, Sumo Logic) and create dashboards for operational visibility.
• Follow SOPs and perform troubleshooting during outages; respond to PagerDuty alerts with proper SLA adherence.
• Lead RFCs and deployments; assist with documentation and ensure production readiness.
• Participate in TCC calls and incident response; create detailed RCAs to prevent recurrence.

API and Microservices Development:

• Design microservices following 12-factor principles and microservices patterns.
• Create APIs with proper documentation (Swagger), authorization processes, and version control.
• Create reusable, skeleton APIs and ensure API alignment with architectural designs.
• Write API documentation and collaborate with architects for review.

DevOps and CI/CD:

• Manage version control (Git) with branching, merging, and conflict resolution; understand Git workflows and cleanup strategies.
• Implement and troubleshoot tools: GitLab-CI, ROSA pipelines, AWS CodePipeline, SonarQube, Veracode, Nexus, and package managers (Maven, Gradle, npm).
• Understand build pipelines, investigate build failures independently, and guide team troubleshooting across ROSA and AWS applications.
• Perform basic shell scripting (Bash/PowerShell) for automation.

AI-Assisted Development:

• Understand core AI concepts; integrate organizational AI tools (Kiro, Kiro CLI) into daily workflows for code generation, debugging, and documentation.
• Use AI tools responsibly with proper prompt engineering; build simple agent workflows to automate multi-step tasks.
• Critically review AI-generated code and team members' work; validate output with business/technical contextapply suggestions critically, but don't over-rely.
• Follow Responsible AI guidelines and security guardrails (prevent prompt injection, data leakage, and misuse).
• Leverage AI for rapid prototyping, codebase comprehension, and solution exploration.
• Define standards for responsible AI-assisted development across teams; ensure integrity and security.

Requirements:

• Bachelor's degree in computer science, engineering, information systems, or a related technical field.
• 10+ years of progressive IT/software engineering experience with hands-on development responsibility.
• 7+ years of hands-on application development (not ops/infrastructure only).
• 5+ years with AWS or an equivalent cloud platform (hands-on, not consulting).
• Proficiency in at least 2 modern programming languages.
• Proven experience designing and delivering enterprise-scale applications.
• Strong understanding of cloud-native architecture, microservices, APIs, and observability.
• Full-stack development (Python, Java, ReactJS, AngularJS).
• AWS (Lambda, CodeBuild, CodePipeline, RDS, ECS, API Gateway, ELBs, CloudWatch, S3 ROSA, Step Functions, Bedrock).
• API Design (SOAP, REST, WebSockets, gRPC).
• SRE (Reliability, Observability, SLO/SLI, Resilience/Resiliency, RCA, Blameless post-mortem).
• AI (LLM, RAG, MCP, agentic workflows, prompt engineering, guardrails, auditability, AI-assisted development tools).
• CI/CD (GitLab, Nexus, Shell scripts), Quality (pytest, JUnit, SonarQube), Security (Veracode, SCA, Wiz).