{"id":1400125,"url":"https://alion.io/job/pdi-technologies-devops-engineer-iv","title":"DevOps Engineer IV","company":{"id":7295,"name":"PDI Technologies","domain":"pditechnologies.com","url":"https://alion.io/company/pditechnologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"CI/CD","optional":false},{"name":"FinOps","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-28T12:40:11Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-02T15:19:53Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for a DevOps Engineer IV - Platform Engineering with deep expertise in cloud and platform architecture, DevOps, Infrastructure as Code, GitOps, Kubernetes, automation, and enterprise platform engineering.\nThe DevOps Engineer IV will provide senior technical and architectural leadership for scalable, secure, resilient, and automated cloud and developer platforms. This role will define and evolve platform architecture, reference patterns, engineering standards, paved roads, and reusable capabilities across AWS and Azure where applicable.\nThe ideal candidate should be able to translate business and engineering needs into enterprise platform architecture, guide complex technical initiatives, influence engineering standards across teams, mentor engineers, and validate architectural decisions through reference implementations and hands-on technical depth. The role requires strong technical leadership capabilities but is not positioned as a formal people-management or dedicated Team Lead role.\nJob Responsibilities:\nPlatform & Cloud Architecture:\nDefine and evolve Platform Engineering architecture and strategy across AWS and Azure where applicable, ensuring scalability, availability, reliability, security, operability, and cost efficiency.\nDefine standardized reference architectures, engineering standards, and reusable platform patterns across networking, compute, storage, IAM, Kubernetes, serverless, observability, and application delivery. \nArchitect standardized cloud platforms and paved roads that enable Engineering teams to consume infrastructure and platform capabilities through secure self-service mechanisms. \nLead architecture and design reviews and ensure solutions align with enterprise engineering, security, governance, and operational standards. \nEvaluate emerging cloud-native technologies and establish architectural direction based on technical and business requirements. \nInfrastructure as Code & Automation:\nDefine architecture and standards for reusable Infrastructure as Code using Terraform/OpenTofu, including modular design, versioning, testing, governance, and lifecycle management. \nEstablish IaC patterns that can be consistently adopted across multiple products, environments, and cloud accounts. \nDefine automation strategies that reduce manual infrastructure, deployment, and operational activities. \nEstablish architecture patterns for integrating infrastructure provisioning with CI/CD and GitOps workflows. \nDefine approaches for infrastructure lifecycle management, configuration validation, drift detection, policy enforcement, and automated remediation. \nGuide development of platform automation, APIs, utilities, and integrations using appropriate programming and scripting technologies. \nGitOps & Continuous Delivery:\nDefine and drive GitOps architecture, standards, and operating models using Argo CD, Flux, or equivalent technologies. \nEstablish standards for declarative configuration, repository architecture, environment promotion, automated reconciliation, secrets management, drift detection, rollback, RBAC, and policy enforcement. \nIntegrate GitOps practices with Kubernetes, Infrastructure as Code, CI/CD pipelines, security controls, and enterprise governance. \nDefine reusable deployment patterns including blue/green, canary, progressive delivery, automated rollback, and policy-driven deployments. \nGuide teams in resolving complex GitOps, CI/CD, and deployment architecture challenges. \nKubernetes & Cloud-Native Platforms:\nDefine architecture and engineering standards for enterprise container platforms, including Amazon EKS and Azure AKS where applicable. \nEstablish Kubernetes architecture patterns covering cluster design, networking, workload isolation, identity, security, scalability, observability, storage, and lifecycle management. \nDefine reusable patterns for deploying and operating cloud-native applications and shared platform services. \nEvaluate Kubernetes ecosystem technologies and establish standards based on enterprise requirements. \nProvide architectural guidance for complex Kubernetes platform, networking, security, scaling, and reliability challenges.\nPlatform & Developer Enablement:\nArchitect Internal Developer Platform capabilities that simplify infrastructure provisioning and application delivery for product Engineering teams. \nDefine reusable platform services, templates, APIs, workflows, and self-service capabilities. \nEstablish golden paths/paved roads that abstract infrastructure complexity while maintaining security, governance, reliability, and operational controls. \nPartner with Engineering teams to understand developer needs and evolve platform capabilities and standards.\nDefine platform success metrics covering adoption, developer productivity, automation coverage, reliability, deployment efficiency, and reduction of manual effort. \nAI & Agentic Engineering:\nDefine architecture patterns for incorporating AI and agentic capabilities into DevOps and Platform Engineering workflows. \nIdentify high-value opportunities for AI across infrastructure automation, CI/CD, troubleshooting, incident analysis, operational support, documentation, and developer self-service. \nEvaluate enterprise AI technologies such as Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent platforms and define secure integration patterns. \nEstablish patterns for AI agents to interact securely with cloud services, APIs, engineering platforms, repositories, and operational tooling. \nDefine identity, authorization, observability, governance, cost controls, guardrails, and human-in-the-loop mechanisms for AI-enabled automation. \nGuide reference implementations and proofs of concept to validate AI-enabled platform capabilities before broader adoption.\nSecurity, Governance, FinOps & Reliability:\nDefine cloud governance frameworks covering IAM, RBAC, security, compliance, policy as-code, tagging, and cost controls. \nEstablish architectural guardrails that enable teams to operate independently while maintaining enterprise security and compliance requirements. \nDefine architecture patterns for high availability, disaster recovery, scalability, resiliency, performance, and operational excellence. \nEnsure observability, including monitoring, logging, metrics, tracing, and alerting, is incorporated into platform architecture by design. \nDrive cloud cost optimization architecture and FinOps practices including visibility, allocation, budgeting, forecasting, and optimization. \nDefine repeatable architecture and automation patterns supporting cloud migration and modernization initiatives.\nTechnical Leadership:\nProvide technical leadership and architectural direction for complex Platform Engineering and DevOps initiatives. \nLead cross-team technical initiatives from architecture and design through implementation and operational readiness. \nMentor engineers and help develop cloud, DevOps, GitOps, automation, Kubernetes, and architecture capabilities. \nFacilitate architecture and design discussions and guide teams through complex technical trade-offs. \nInfluence engineering standards and technical decisions across teams and product areas. \nCoordinate technical efforts across engineering teams when required while continuing to operate as a senior individual contributor. \nCollaborate with Engineering leadership, Product Enablement, SRE, Security, Architecture, and product Engineering teams to align platform strategy with organizational objectives. \nRequired Skills & Experience:\n10+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Infrastructure Engineering, Software Engineering, or a related role.\nExtensive experience designing enterprise-scale cloud and platform architectures. \nDeep expertise in AWS architecture, services, and best practices. \nExpert-level experience with Terraform/OpenTofu, including modular architecture, reusable frameworks, governance, testing, and enterprise-scale implementations. \nStrong experience with Kubernetes and enterprise container platforms, particularly EKS and/or AKS. \nDeep understanding of Kubernetes architecture, networking, security, identity, scaling, observability, storage, and lifecycle management. \nStrong understanding of GitOps architecture and operating models with experience designing solutions using Argo CD, Flux, or equivalent technologies. \nStrong understanding of CI/CD architecture and enterprise software-delivery practices. \nDeep understanding of IAM, RBAC, cloud security, least-privilege architecture, policy-as code, compliance, and audit controls. \nStrong understanding of distributed systems, scalability, high availability, disaster recovery, resiliency, and performance architecture. \nStrong automation and scripting/programming skills using Python, Go, PowerShell, Bash, TypeScript, or equivalent technologies. \nExperience with observability, SRE, reliability, operational excellence, and cloud cost/FinOps practices. \nDemonstrated technical and architectural leadership across multiple engineering teams and complex initiatives. \nAbility to translate business and engineering requirements into scalable platform architecture, reference patterns, and technical standards. \nPreferred Skills :\nExperience designing Internal Developer Platforms and enterprise developer self-service capabilities.\nExperience establishing enterprise paved roads/golden paths across multiple product teams. \nExperience implementing GitOps at scale across multiple Kubernetes clusters, environments, and teams. \nExperience with large-scale cloud migration and modernization programs. \nExperience implementing enterprise cloud governance across multi-account AWS environments. \nExperience with Azure/AKS or other multi-cloud environments. \nExperience designing AI-assisted or agentic DevOps and Platform Engineering workflows using Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent technologies. \nExperience with platform engineering metrics, developer experience, and engineering productivity measurement. \nAWS, Terraform, Kubernetes, architecture, or other relevant certifications are a plus. \nKey Competencies:\nEnterprise architecture and systems-thinking mindset.\nStrong ability to evaluate architectural trade-offs and establish scalable technical direction. \nAbility to balance standardization, developer experience, security, reliability, and cost. \nDemonstrated technical leadership, mentoring, and influence across engineering teams without requiring formal people-management authority. \nAbility to lead complex cross-team technical initiatives and drive alignment among multiple stakeholders. \nStrong problem-solving and decision-making skills for ambiguous and complex platform challenges. \nStrong written and verbal communication skills with the ability to communicate architecture to engineers, architects, and leadership. \nContinuous-learning mindset and ability to evaluate emerging cloud, platform, and AI technologies. \nLevel IV Expectations A DevOps Engineer IV - Platform Engineering should be able to:\nDefine and evolve enterprise Platform Engineering architecture, reference patterns, and technical standards. \nArchitect scalable, secure, resilient, and cost-efficient cloud platform capabilities across AWS and related technologies. \nDefine enterprise approaches for Terraform/OpenTofu, GitOps, Kubernetes, CI/CD, automation, governance, observability, and developer self-service. \nLead architecture and design reviews and guide teams through complex technical trade offs. \nDrive reusable paved roads and Internal Developer Platform capabilities that can be adopted across multiple product teams. \nDefine architecture patterns for AI-assisted and agentic Platform Engineering capabilities with appropriate enterprise guardrails.\nProvide technical leadership for complex cross-team initiatives from design through operational readiness. \nMentor engineers and raise engineering and architecture standards across the organization. \nValidate architecture through reference i...","description_format":"text","description_chars":12336,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Sales & Marketing","ERP & Business Management Software","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-09-28T14:58:45Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.859,"p_room":1,"age_days":3,"expected_fill_days":21,"reasons":["conf:4","velocity","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pdi-technologies-devops-engineer-iv","json_url":"https://alion.io/job/pdi-technologies-devops-engineer-iv.json","meta":{"generated_at":"2026-10-03T03:29:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3250,"day_limit":5000,"remaining_today":1750,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}