{"id":69984,"url":"https://alion.io/job/flex-staff-devops-engineersre","title":"Staff DevOps Engineer/SRE","company":{"id":24073,"name":"FlexAI","domain":"flex.ai","url":"https://alion.io/company/flexai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":"full_time","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":25000,"max_usd":58000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":823},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"VictoriaMetrics","optional":false},{"name":"Edge AI","optional":true}],"status":"live","first_seen_at":"2026-02-20T02:19:18Z","employer_posted_date":"2026-02-20","last_verified_at":"2026-10-18T10:54:49Z","board_verified":true,"closed_at":null,"days_open":240,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":240},"description":"About FlexAI\nBuild and Deploy AI the right way, anywhere.\nThe FlexAI Compute Infrastructure Platform provides an \"end-to-end AI compute layer\" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together \"1-click simplicity\" for users with \"enterprise-grade orchestration, security, and automation\" under the hood.\nFounded byBrijesh Tripathi, who bring experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is notjustbuilding a product - we’re shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity.\nIf you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem,FlexAI is the place for you !\n Role Overview\nFlexAI is looking for a Staff DevOps / SRE Engineer to define our infrastructure strategy, establish SRE best practices, and build systems capable of running large-scale AI workloads across distributed, multi-cloud environments.\nYou’ll work closely with developers to ensure our platform is reliable, performant, and scalable - without slowing down product velocity.\nWhat You’ll Do\nOwn Reliability & Architecture:\nDesign and evolve the infrastructure backbone for our AI and PaaS platform\nBuild highly available, fault-tolerant, and scalable systems\nDefine and drive SRE practices (SLIs, SLOs, error budgets)\nBuild Infrastructure at Scale:\nLead Infrastructure as Code using Pulumi\nOwn and scale Kubernetes clusters and containerized workloads\nStandardize and automate infrastructure for global deployments\nCI/CD & Automation:\nDesign and scale CI/CD pipelines for fast, reliable releases\nBuild self-healing systems and automated remediation workflows\nDrive GitOps and platform engineering practices\nObservability & Performance:\nImplement end-to-end observability using VictoriaMetrics and Grafana (metrics, logs, traces)\nIdentify and resolve performance bottlenecks (latency, throughput, cost)\nLead incident response, root cause analysis, and postmortems\nLeadership & Collaboration:\nPartner with backend, AI, runtime, and security teams\nGuide infrastructure decisions and scaling strategy\nMentor engineers and raise the bar on reliability and engineering standards\nSecurity & Resilience:\nEmbed security into infrastructure and deployment workflows\nDesign for resilience (disaster recovery, chaos testing, capacity planning)\nWhat You'll Need to Be Successful\n8+ years of experience in DevOps, SRE, or Infrastructure Engineering\nProven experience operating large-scale, distributed systems in production\nDeep expertise in:\nKubernetes & container orchestration\nPulumi (or similar IaC tools)\nCloud or hybrid environments (AWS, GCP, Azure, or on-prem)\nObservability stacks (Prometheus, Grafana, OpenTelemetry)\n\nStrong experience with CI/CD, automation, and release engineering\nProficiency in Python, Go, or Bash\nStrong systems thinking and debugging skills in high-scale environments\nExperience defining and operating with SLOs / SLAs\nExperience in startup environments\nComfortable leveraging AI coding tools and agents to move faster\nNice to Have\nExperience with AI/ML infrastructure or GPU workloads\nFamiliarity with distributed or high-performance compute systems\nExposure to platform engineering / internal developer platforms\nExperience scaling systems from Beta to production\nWhy FlexAI\nWork 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