{"id":3279430,"url":"https://alion.io/job/arctic-wolf-sr-engineer-platform-and-infrastructure","title":"Sr. Engineer Platform and Infrastructure","company":{"id":1025,"name":"Arctic Wolf","domain":"arcticwolf.com","url":"https://alion.io/company/arctic-wolf","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":21,"ghost_share":0,"stale_share":0.381,"repost_share":0.095,"time_to_fill_p50_days":39,"computed_at":"2026-10-31T05:58:55Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alertmanager","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Istio","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"PagerDuty","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Thanos","optional":false}],"status":"live","first_seen_at":"2026-10-26T15:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-26T15:35:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We continue to expand our highly talented Infrastructure teams and are seeking a candidate who has large-scale production experience with metrics, events, logs, and traces. In this role, you'll work with the Observability team to design, develop, and maintain solutions for R& D teams to monitor the behaviour and performance of their workloads, reduce the likelihood and impact of incidents, and better troubleshoot issues. Candidates with an operations (DevOps/SysOps/TechOps) background who have supported infrastructure at scale are encouraged to apply for this role. If you are a firm believer in Infrastructure as Code, continuous deployment/delivery practices, and helping teams understand how their services behave in real-world scenarios, then you might be a great fit!\n\nResponsibilities: \nSystem design, configuration, integration, deployment, and operations of Observability systems and tools.\nThese systems include a collection of metrics/logs/events from many backend services deployed across multiple AWS accounts and regions, and consumed by multiple teams.\nWorking with engineering teams to enable them to support their services from development to production.\nEnsure our Observability platform exceeds goals for availability, capacity, efficiency, scalability, and performance, as well as meeting our internal SLOs.\nBuild the next generation of observability, integrating with Istio.\nWrite libraries and APIs that provide a simple, unified interface to other developers when they use our monitoring, logging, and event processing systems.\nEnhance the existing alerting capabilities with Slack, Jira, and PagerDuty.\nHelping build a continuous deployment system guided by metrics and data.\nBring anomaly detection into the observability stack.\n\nRequirements: \nMinimum of five years of experience.\nStrong with Python or Go.\nCloud of choice, preference for AWS - 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