{"id":128657,"url":"https://alion.io/job/neosoft-technologies-senior-site-reliability-engineer","title":"Senior Site Reliability Engineer","company":{"id":1972,"name":"NeoSOFT Technologies","domain":"neosofttech.com","url":"https://alion.io/company/neosoft-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chandigarh, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Datadog","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-27T05:54:08Z","employer_posted_date":null,"last_verified_at":"2026-08-27T05:54:08Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"We are seeking a Senior Site Reliability Engineer (SRE) to join our engineering team. This is a hands-on individual contributor role for an experienced SRE/DevOps/Platform Engineer who can take ownership of high-severity production incidents and drive continuous improvements in platform reliability and resilience. The successful candidate will work closely with global engineering teams, participate in the on-call rotation, troubleshoot production issues, improve observability, and implement automation to reduce operational toil.\nThe core responsibilities for the job include the following:\nIncident Management and Production Support:\nParticipate in the on-call rotation and lead high-severity production incidents.\nDrive incident triage, coordinate cross-functional response, and communicate status to stakeholders.\nTroubleshoot production alerts across AWS infrastructure and application layers.\nDistinguish transient issues from systemic failures and take appropriate corrective action.\nMonitoring and Observability:\nOwn and enhance Datadog monitoring standards.\nDesign and maintain monitors, dashboards, SLOs, and SLIs.\nImprove signal-to-noise ratios and reduce unnecessary alert fatigue.\nMonitor system health and identify reliability risks proactively.\nReliability Engineering:\nIdentify systemic weaknesses and implement reliability improvements.\nLead initiatives focused on reducing operational toil and inefficiencies.\nDesign and implement automation and process improvements.\nDrive reliability initiatives through implementation and adoption.\nRCA, Runbooks, and Documentation:\nConduct detailed Root Cause Analysis (RCA) for infrastructure and application failures.\nCreate structured post-mortems with actionable follow-up items.\nDevelop and maintain operational runbooks and SOPs.\nDocument operational learnings and continuously improve troubleshooting processes.\nDeployment and CI/CD:\nMonitor CI/CD pipelines during deployments.\nIdentify potential reliability risks before and during releases.\nInitiate rollbacks following established procedures when system stability is at risk.\nCollaboration and Mentorship:\nMentor junior and mid-level engineers during complex investigations.\nReview runbooks, incident reports, and operational documentation.\nPromote strong troubleshooting and operational best practices across the team.\nCollaborate effectively with global engineering teams across time zones.\nRequirements:\n6-8 years of hands-on experience in SRE, DevOps, or platform engineering.\nProven experience leading responses to high-severity production incidents.\nStrong hands-on experience with AWS infrastructure.\nWorking knowledge of: Amazon ECS, IAM, VPC, ALB/NLB, RDS, S3 MSK, ElastiCache, Lambda, and CloudWatch.\nStrong experience with Terraform / Infrastructure as Code.\nHands-on experience building and managing Datadog monitors and dashboards.\nStrong understanding of SLOs, SLIs, and error budgets.\nStrong Linux command-line skills.\nExperience writing Python automation scripts.\nWorking knowledge of GitHub Actions or GitLab CI for ECS-based deployments.\nUnderstanding of architectural patterns such as microservices, pub/sub, and load balancing.\nStrong structured troubleshooting and problem-solving skills.\nExcellent written and verbal English communication skills.\nPreferred Skills:\nFamiliarity with Grafana.\nExperience with RDS or Cassandra performance metrics.\nBasic understanding of financial markets and market data, including equities, options, and market data feeds.\nExperience mentoring engineers or establishing operational best practices.\nAbility to independently learn unfamiliar systems using documentation and runbooks.\nStrong documentation and knowledge-sharing practices.\nThe ideal candidate demonstrates:\nStrong ownership and accountability.\nA systematic, hypothesis-driven approach to troubleshooting.\nAbility to remain effective under production pressure.\nStrong cross-functional communication.\nProactive identification and resolution of reliability issues.\nAbility to drive issues from discovery through complete resolution.\nA continuous improvement mindset focused on automation, resilience, and operational 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