{"id":3020491,"url":"https://alion.io/job/delta-air-lines-lead-site-reliability-engineer","title":"Lead Site Reliability Engineer","company":{"id":6522,"name":"Delta Air Lines","domain":"delta.com","url":"https://alion.io/company/delta-air-lines","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":67000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon 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(like Spring Boot, Quarkus, Hibernate, React, Angular, TypeScript, and JavaScript).\nEstablish coding standards, design patterns, validation strategies, and best practices; conduct thorough code reviews with constructive feedback.\nEnsure code coverage above thresholds, minimal critical defects, and production-ready code (PRs/MRs).\nMentor team members on best practices, code refactoring, and secure coding; guide optimization for complex problems.\nPerform POCs for technology stack decisions and recommend frameworks/tools.\n\nCloud-Native Architecture and AWS Services: \nDeep hands-on experience with AWS services, serverless components, and containerization (Kubernetes, Docker, and ROSA).\nStrong infrastructure-as-code skills (Terraform, CloudFormation, CDK).\nDesign 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.\nAdhere to cost optimization plans and proactively identify cost optimization opportunities.\n\nObservability and Operations: \nDesign applications with an SRE mindset and observability-first principles: structured logging, distributed tracing, metrics instrumentation, and operational excellence.\nInstrument applications to emit signals suitable for AI-assisted operations (like anomaly detection and auto-remediation).\nDeep understanding of production metrics, operations, and observability practices.\nHands-on incident response, troubleshooting, and RCA experience.\nQuery monitoring tools (Dynatrace, Grafana, CloudWatch, Sumo Logic) and create dashboards for operational visibility.\nFollow SOPs and perform troubleshooting during outages; respond to PagerDuty alerts with proper SLA adherence.\nLead RFCs and deployments; assist with documentation and ensure production readiness.\nParticipate in TCC calls and incident response; create detailed RCAs to prevent recurrence.\n\nAPI and Microservices Development: \nDesign microservices following 12-factor principles and microservices patterns.\nCreate APIs with proper documentation (Swagger), authorization processes, and version control.\nCreate reusable, skeleton APIs and ensure API alignment with architectural designs.\nWrite API documentation and collaborate with architects for review.\n\nDevOps and CI/CD: \nManage version control (Git) with branching, merging, and conflict resolution; understand Git workflows and cleanup strategies.\nImplement and troubleshoot tools: GitLab-CI, ROSA pipelines, AWS CodePipeline, SonarQube, Veracode, Nexus, and package managers (Maven, Gradle, npm).\nUnderstand build pipelines, investigate build failures independently, and guide team troubleshooting across ROSA and AWS applications.\nPerform basic shell scripting (Bash/PowerShell) for automation.\n\nAI-Assisted Development: \nUnderstand core AI concepts; integrate organizational AI tools (Kiro, Kiro CLI) into daily workflows for code generation, debugging, and documentation.\nUse AI tools responsibly with proper prompt engineering; build simple agent workflows to automate multi-step tasks.\nCritically review AI-generated code and team members' work; validate output with business/technical contextapply suggestions critically, but don't over-rely.\nFollow Responsible AI guidelines and security guardrails (prevent prompt injection, data leakage, and misuse).\nLeverage AI for rapid prototyping, codebase comprehension, and solution exploration.\nDefine standards for responsible AI-assisted development across teams; ensure integrity and security.\n\nRequirements: \nBachelor's degree in computer science, engineering, information systems, or a related technical field.\n10+ years of progressive IT/software engineering experience with hands-on development responsibility.\n7+ years of hands-on application development (not ops/infrastructure only).\n5+ years with AWS or an equivalent cloud 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