--- title: 'DevOps Engineer IV at PDI Technologies' canonical: 'https://feeny.ai/job/devops-engineer-iv-pdi-technologies-hyderabad-zzefqfmbk1q4' type: 'job' last_seen: '2026-10-13' --- # DevOps Engineer IV at PDI Technologies - **Company:** PDI Technologies - **Location:** Hyderabad, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-28 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.lever.co/pditechnologies/5e4bd833-d322-4e79-84c0-72ea3e663cf2 ## Job 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. The 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. The 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. Job Responsibilities: Platform & Cloud Architecture: - Define and evolve Platform Engineering architecture and strategy across AWS and Azure where applicable, ensuring scalability, availability, reliability, security, operability, and cost efficiency. - Define standardized reference architectures, engineering standards, and reusable platform patterns across networking, compute, storage, IAM, Kubernetes, serverless, observability, and application delivery. - Architect standardized cloud platforms and paved roads that enable Engineering teams to consume infrastructure and platform capabilities through secure self-service mechanisms. - Lead architecture and design reviews and ensure solutions align with enterprise engineering, security, governance, and operational standards. - Evaluate emerging cloud-native technologies and establish architectural direction based on technical and business requirements. Infrastructure as Code & Automation: - Define architecture and standards for reusable Infrastructure as Code using Terraform/OpenTofu, including modular design, versioning, testing, governance, and lifecycle management. - Establish IaC patterns that can be consistently adopted across multiple products, environments, and cloud accounts. - Define automation strategies that reduce manual infrastructure, deployment, and operational activities. - Establish architecture patterns for integrating infrastructure provisioning with CI/CD and GitOps workflows. - Define approaches for infrastructure lifecycle management, configuration validation, drift detection, policy enforcement, and automated remediation. - Guide development of platform automation, APIs, utilities, and integrations using appropriate programming and scripting technologies. GitOps & Continuous Delivery: - Define and drive GitOps architecture, standards, and operating models using Argo CD, Flux, or equivalent technologies. - Establish standards for declarative configuration, repository architecture, environment promotion, automated reconciliation, secrets management, drift detection, rollback, RBAC, and policy enforcement. - Integrate GitOps practices with Kubernetes, Infrastructure as Code, CI/CD pipelines, security controls, and enterprise governance. - Define reusable deployment patterns including blue/green, canary, progressive delivery, automated rollback, and policy-driven deployments. - Guide teams in resolving complex GitOps, CI/CD, and deployment architecture challenges. Kubernetes & Cloud-Native Platforms: - Define architecture and engineering standards for enterprise container platforms, including Amazon EKS and Azure AKS where applicable. - Establish Kubernetes architecture patterns covering cluster design, networking, workload isolation, identity, security, scalability, observability, storage, and lifecycle management. - Define reusable patterns for deploying and operating cloud-native applications and shared platform services. - Evaluate Kubernetes ecosystem technologies and establish standards based on enterprise requirements. - Provide architectural guidance for complex Kubernetes platform, networking, security, scaling, and reliability challenges. Platform & Developer Enablement: - Architect Internal Developer Platform capabilities that simplify infrastructure provisioning and application delivery for product Engineering teams. - Define reusable platform services, templates, APIs, workflows, and self-service capabilities. - Establish golden paths/paved roads that abstract infrastructure complexity while maintaining security, governance, reliability, and operational controls. - Partner with Engineering teams to understand developer needs and evolve platform capabilities and standards. - Define platform success metrics covering adoption, developer productivity, automation coverage, reliability, deployment efficiency, and reduction of manual effort. AI & Agentic Engineering: - Define architecture patterns for incorporating AI and agentic capabilities into DevOps and Platform Engineering workflows. - Identify high-value opportunities for AI across infrastructure automation, CI/CD, troubleshooting, incident analysis, operational support, documentation, and developer self-service. - Evaluate enterprise AI technologies such as Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent platforms and define secure integration patterns. - Establish patterns for AI agents to interact securely with cloud services, APIs, engineering platforms, repositories, and operational tooling. - Define identity, authorization, observability, governance, cost controls, guardrails, and human-in-the-loop mechanisms for AI-enabled automation. - Guide reference implementations and proofs of concept to validate AI-enabled platform capabilities before broader adoption. Security, Governance, FinOps & Reliability: - Define cloud governance frameworks covering IAM, RBAC, security, compliance, policy as-code, tagging, and cost controls. - Establish architectural guardrails that enable teams to operate independently while maintaining enterprise security and compliance requirements. - Define architecture patterns for high availability, disaster recovery, scalability, resiliency, performance, and operational excellence. - Ensure observability, including monitoring, logging, metrics, tracing, and alerting, is incorporated into platform architecture by design. - Drive cloud cost optimization architecture and FinOps practices including visibility, allocation, budgeting, forecasting, and optimization. - Define repeatable architecture and automation patterns supporting cloud migration and modernization initiatives. Technical Leadership: - Provide technical leadership and architectural direction for complex Platform Engineering and DevOps initiatives. - Lead cross-team technical initiatives from architecture and design through implementation and operational readiness. - Mentor engineers and help develop cloud, DevOps, GitOps, automation, Kubernetes, and architecture capabilities. - Facilitate architecture and design discussions and guide teams through complex technical trade-offs. - Influence engineering standards and technical decisions across teams and product areas. - Coordinate technical efforts across engineering teams when required while continuing to operate as a senior individual contributor. - Collaborate with Engineering leadership, Product Enablement, SRE, Security, Architecture, and product Engineering teams to align platform strategy with organizational objectives. Required Skills & Experience: - 10+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Infrastructure Engineering, Software Engineering, or a related role. - Extensive experience designing enterprise-scale cloud and platform architectures. - Deep expertise in AWS architecture, services, and best practices. - Expert-level experience with Terraform/OpenTofu, including modular architecture, reusable frameworks, governance, testing, and enterprise-scale implementations. - Strong experience with Kubernetes and enterprise container platforms, particularly EKS and/or AKS. - Deep understanding of Kubernetes architecture, networking, security, identity, scaling, observability, storage, and lifecycle management. - Strong understanding of GitOps architecture and operating models with experience designing solutions using Argo CD, Flux, or equivalent technologies. - Strong understanding of CI/CD architecture and enterprise software-delivery practices. - Deep understanding of IAM, RBAC, cloud security, least-privilege architecture, policy-as code, compliance, and audit controls. - Strong understanding of distributed systems, scalability, high availability, disaster recovery, resiliency, and performance architecture. - Strong automation and scripting/programming skills using Python, Go, PowerShell, Bash, TypeScript, or equivalent technologies. - Experience with observability, SRE, reliability, operational excellence, and cloud cost/FinOps practices. - Demonstrated technical and architectural leadership across multiple engineering teams and complex initiatives. - Ability to translate business and engineering requirements into scalable platform architecture, reference patterns, and technical standards. Preferred Skills : - Experience designing Internal Developer Platforms and enterprise developer self-service capabilities. - Experience establishing enterprise paved roads/golden paths across multiple product teams. - Experience implementing GitOps at scale across multiple Kubernetes clusters, environments, and teams. - Experience with large-scale cloud migration and modernization programs. - Experience implementing enterprise cloud governance across multi-account AWS environments. - Experience with Azure/AKS or other multi-cloud environments. - Experience designing AI-assisted or agentic DevOps and Platform Engineering workflows using Amazon Bedrock, Azure OpenAI/OpenAI, or equivalent technologies. - Experience with platform engineering metrics, developer experience, and engineering productivity measurement. - AWS, Terraform, Kubernetes, architecture, or other relevant certifications are a plus. Key Competencies: - Enterprise architecture and systems-thinking mindset. - Strong ability to evaluate architectural trade-offs and establish scalable technical direction. - Ability to balance standardization, developer experience, security, reliability, and cost. - Demonstrated technical leadership, mentoring, and influence across engineering teams without requiring formal people-management authority. - Ability to lead complex cross-team technical initiatives and drive alignment among multiple stakeholders. - Strong problem-solving and decision-making skills for ambiguous and complex platform challenges. - Strong written and verbal communication skills with the ability to communicate architecture to engineers, architects, and leadership. - Continuous-learning mindset and ability to evaluate emerging cloud, platform, and AI technologies. Level IV Expectations A DevOps Engineer IV - Platform Engineering should be able to: - Define and evolve enterprise Platform Engineering architecture, reference patterns, and technical standards. - Architect scalable, secure, resilient, and cost-efficient cloud platform capabilities across AWS and related technologies. - Define enterprise approaches for Terraform/OpenTofu, GitOps, Kubernetes, CI/CD, automation, governance, observability, and developer self-service. - Lead architecture and design reviews and guide teams through complex technical trade offs. - Drive reusable paved roads and Internal Developer Platform capabilities that can be adopted across multiple product teams. - Define architecture patterns for AI-assisted and agentic Platform Engineering capabilities with appropriate enterprise guardrails. - Provide technical leadership for complex cross-team initiatives from design through operational readiness. - Mentor engineers and raise engineering and architecture standards across the organization. - Validate architecture through reference implementations, proofs of concept, and sufficient hands-on technical depth. - Influence technical direction at an organizational level while operating as a senior individual contributor rather than a formal people manager. Behavioral Competencies: - Cultivates Innovation - Decision Quality - Manages Complexity - Drives Results - Business Insight PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career.  This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements.  Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all. ## About PDI Technologies ## Company Overview - **One-liner**: PDI Technologies provides enterprise software and payments solutions that power the convenience retail and petroleum wholesale ecosystem globally. - **Entity Type**: Private (acquired by Luminate Capital in 2015, with strategic investment from TA Associates) - **Headquarters**: Alpharetta, Georgia, United States - **Founded**: 1983 - **Founders**: Greg Gilkerson ## Core Business - Primary industry/industries: Convenience retail & petroleum wholesale software, payments, data analytics, and cybersecurity. - Target customers: B2B – fuel wholesalers, convenience store chains, and petroleum retailers of all sizes (SMB to enterprise). - Mission or purpose statement: “Connecting Convenience” – helping businesses modernize operations, converge systems, and deliver exceptional customer experiences. ## Products & Services - **PDI Enterprise (ERP)**: Comprehensive enterprise resource planning for convenience retail and petroleum wholesale, covering accounting, inventory, supply chain, and back-office operations. - **PDI Logistics**: Fuel supply chain management and distribution optimization. - **PDI Loyalty & Marketing Cloud**: Customer loyalty programs, coalition marketing, and real-time promotions. - **PDI Payments**: Secure payment processing solutions for in-store and fuel transactions. - **PDI Security & Cybersecurity**: Managed security services and data protection for retail networks. - **PDI Analytics Cloud**: Data and insight solutions for business intelligence and consumer behavior analysis. - **PDIQ (AI Platform)**: Embedded AI into trusted workflows to accelerate decision-making and innovation. - **Fuel Pricing Software**: Dynamic pricing and competitor analysis for fuel retailers. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Annual revenue of approximately $112 M (LinkedIn estimate) – or **Total Funding**: Not disclosed beyond early private equity rounds (Luminate Capital, TA Associates). - **Notable Investors/Partners**: Luminate Capital (acquirer in 2015), TA Associates (growth investment in 2017). - **Growth Signals**: - Headcount: 1,419 employees (+1.0% YoY) per LinkedIn; another source (Built In) reports 1,905 total employees – conflicting reports. - Operates in 7 countries (including Austria, Thailand, Slovakia, New Zealand, United Kingdom) with workforce across 26 countries. - Serves over 200,000 convenience and petroleum wholesale sites in more than 60 countries. - Released 2024 ESG Report, highlighting sustainability commitments. ## Competitive Advantages - **40+ years of domain expertise** in the convenience retail and petroleum wholesale vertical. - **End-to-end ecosystem**: ERP, logistics, loyalty, payments, analytics, and cybersecurity – all integrated. - **Large, sticky customer base** with high switching costs due to deep operational integration. - **AI-first innovation** through the PDIQ platform, embedding intelligence into existing workflows. - **Global reach** with localized support across North America, EMEA, and APAC. ## Strategic Focus - **AI & Automation**: Expanding PDIQ to embed AI across all product lines to improve productivity and decision-making. - **Sustainability**: Helping customers meet environmental goals while advancing own ESG metrics. - **Cloud & SaaS Migration**: Continuing to shift legacy on-premise solutions to modern cloud/SaaS platforms. - **Global Expansion**: Growing presence in Europe, Asia, and other regions outside the core U.S. market. ## Why Work Here - **Culture**: Values-driven environment emphasizing integrity, curiosity, adaptability, courage, collaboration, and accountability. - **Work Model**: Hybrid and fully remote options available; Alpharetta HQ serves as a central hub. - **Benefits**: Competitive salary, health coverage, retirement plans, paid time off, quarterly perks, and flexible work arrangements. - **Growth**: Continuous learning opportunities, professional certifications, leadership development, and internal mobility. - **Diversity & Inclusion**: Committed to building a diverse workforce and fostering an inclusive culture. - **Engineering Culture**: Tech roles span application development, backend systems, data management, cybersecurity, and cloud infrastructure; coding challenges may be part of interviews. ## Sources 1. [LinkedIn – PDI Technologies](https://linkedin.com/company/pdi-technologies) 2. [PDI Technologies – Our Story](https://pditechnologies.com/our-story/) 3. [PDI Technologies – Careers](https://pditechnologies.com/careers/) 4. 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