{"id":3649581,"url":"https://alion.io/job/nuplay-ai-devops-enginer","title":"DevOps Enginer","company":{"id":47330,"name":"NuPlay AI","domain":"nuplay.ai","url":"https://alion.io/company/nuplay-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"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":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google GKE","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-02T23:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-02T23:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are seeking a versatile Lead DevOps and Platform Engineer with 8-12+ years of overall experience who brings a strong blend of core application engineering and cloud/infrastructure platform leadership. This role requires someone who has built and shipped software as a core application developer (in runtimes like Python, Java, Go, or Node.js ) and later transitioned into or spearheaded a DevOps/Infrastructure charter. You will bridge the gap between application development and cloud operations—ensuring our AI agents and SaaS platform are architected for extreme scale, resiliency, and speed of delivery. If you are a hands-on leader who can \"lead by example, \" write clean code, and design high-availability infrastructure from the ground up, we'd love to hear from you.\n\nThe candidate will have responsibilities across the following functions: \n\nCloud Infrastructure and Platform Architecture: \nDesign, implement, and manage scalable cloud infrastructure primarily on AWS (with exposure to GCP/Azure).\nBuild ground-up multi-region network architectures for enterprise workloads, securing networks into layered trust zones (subnets, VPC peering/privatelinks, NAT gateways at scale).\nArchitect high-availability (HA) and disaster recovery (DR) setups aligned with strict RPOs and RTOs.\nDesign compute, storage, and networking layers for complex, high-throughput systems (microservices, data pipelines, LLM inference endpoints, and vector databases).\nAutomate infrastructure management end-to-end using Infrastructure-as-Code (IaC) tools (e. g., Terraform, CloudFormation).\n\nContainerization and Orchestration: \nSet up, monitor, and manage large-scale Kubernetes (EKS/GKE) clusters for seamless deployment of microservices and AI workloads.\nManage persistent volume configurations for dynamic pods at scale.\nImplement best practices for networking policies, service meshes, and ingress control within Kubernetes.\n\nEngineering and Technical Leadership: \nLeverage your application engineering background (Python, Java, Node.js, Go, etc. ) to review developer architectures, optimise backend performance, and build internal platform tooling.\nAct as a bridge between core product engineering and infrastructure, ensuring applications are designed natively for auto-scaling and cloud reliability.\nProvide technical mentorship to engineers on deployment strategies, distributed debugging, and cloud-native development practices.\n\nPerformance Monitoring and Troubleshooting: \nImplement robust observability and telemetry frameworks (APM, distributed tracing, metrics, logging) to track system health and AI model runtime performance.\nLead root-cause analysis (RCA) for critical incidents and drive proactive system fixes to eliminate downtime.\n\nCI/CD and Security: \nOversee and optimise existing CI/CD automation and deployment workflows to maintain high developer velocity.\nIntegrate basic security scanning (SAST/DAST) and ensure general alignment with security and compliance standards.\n\nRequirements: \nExperience: 8-12+ years total experience in software engineering and infrastructure management, ideally within early-stage to growth-stage startups or AI/SaaS companies.\nDual Engineering Background: Proven track record of having spent time as a Lead Backend/Software Engineer (Python, Java, Node.js, Go) before leading a DevOps / Infrastructure / Platform Engineering charter.\nCloud and K8S Mastery: Heavy hands-on experience designing HA/DR cloud architectures on AWS/GCP and orchestrating Kubernetes clusters at scale (CKA certification is a plus).\nStartup Mindset: Comfortable wearing multiple hats, working in fast-paced environments, and driving systems from 0 to 1 and 1 to 10.\nLeadership: Strong hands-on technical leader who \"leads by example\"—capable of diving deep into code, network configs, and architectural whiteboarding.\nSkills\nAWS, Azure, Cloud, DevOps, EKS, GCP, GKE, Infrastructure, Kubernetes, Platform","description_format":"text","description_chars":3925,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Conversational AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-11-02T23:35:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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