{"id":4262185,"url":"https://alion.io/job/teleport-system-reliability-engineer-t2-support-engineer","title":"System Reliability Engineer / T2 Support Engineer","company":{"id":685009,"name":"Teleport","domain":"teleport.it","url":"https://alion.io/company/teleport-4","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":64,"ghost_share":0.422,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-11-12T10:38:37Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"CI/CD","optional":true},{"name":"Python","optional":true},{"name":"Spring Boot","optional":true}],"status":"live","first_seen_at":"2026-11-13T15:43:15Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T15:43:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nWe are looking for an engineer who enjoys understanding how systems behave in real production, not just writing features. This role is responsible for maintaining reliability, stability, and smooth functioning of our live platform running on Google Cloud.\nYou will act as the first technical owner of production systems - monitoring services, investigating alerts, resolving issues, and performing controlled configuration and operational changes. This role works closely with backend developers, QA, and infrastructure teams to prevent incidents and reduce downtime.\nThis is not a call-center support role and not a pure development role - it is a hands-on technical position focused on debugging, incident handling, and system operations.\nTech Stack\nGoogle Cloud Platform (Compute, Logging, Monitoring)\nJava (Spring Boot based microservices)\nMongoDB\nApache Kafka (event-driven architecture)\nRedis cache\nLinux servers\nKey Responsibilities\nProduction Monitoring & Alert Handling\nMonitor application health, latency, errors, consumer lag, database connections, and resource utilization\nAcknowledge and investigate monitoring alerts\nPerform first-level troubleshooting and stabilize services\nIdentify whether issue is infra, application, database, or messaging related\nIncident Response\nParticipate in on-call rotation\nDiagnose production incidents and restore services with minimal downtime\nSafely restart services, scale instances, or rollback deployments when required\nCommunicate incident status to stakeholders\nTechnical Support & Operational Changes\nHandle technical support tickets requiring engineering understanding\nUpdate configurations and feature flags\nManage scheduled jobs / cron triggers\nTrigger or replay events in Kafka\nAssist in minor Java configuration/code fixes when needed\nCoordinate production releases\nDatabase & Messaging Operations\nInvestigate MongoDB performance issues and slow queries\nMonitor and resolve Kafka consumer lag and stuck messages\nManage Redis cache behavior (TTL, eviction, connection issues)\nLogs & RCA\nAnalyze logs and metrics to determine root cause of issues\nPrepare basic Root Cause Analysis (RCA) reports\nSuggest preventive actions to reduce recurring incidents\nRequirements\nRequired Skills\nCore Technical Skills\nGood understanding of Linux commands and server behavior\nExperience analyzing application logs and debugging runtime issues\nBasic Java knowledge (stack trace reading, configuration changes, rebuild & deploy)\nPractical experience with MongoDB (indexes, connections, slow queries)\nUnderstanding of Kafka concepts (consumer, offset, lag, partitions)\nBasic Redis knowledge (caching behavior, TTL)\nCloud & Tools\nHands-on experience with any cloud platform (GCP preferred / AWS acceptable)\nExperience using monitoring tools (GCP Monitoring, Prometheus, Grafana, ELK, or similar)\nUnderstanding of REST APIs and HTTP status codes\nWhat We Expect From You\nAbility to investigate problems logically rather than randomly restarting services\nComfort working with live production systems\nWillingness to participate in on-call support\nStrong ownership mindset and attention to detail\nGood communication during incidents\nGood to Have\nExperience in e-commerce, fintech, logistics, or high-traffic systems\nExposure to CI/CD pipelines and deployments\nBasic scripting (Shell or Python)\nExperience writing RCA documents\nExperience\n3 - 6 years of relevant experience in production support, application support, SRE, DevOps operations, or similar roles.\nBenefits\nWhy Join Us\nDirect exposure to real distributed systems\nHands-on production debugging experience\nOpportunity to learn system architecture deeply\nClose interaction with development and platform teams\nImportant Note\nThis role involves handling live production systems and occasional on-call responsibilities. 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