UAE Digital Sovereignty Orchestrator

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

Location: Abu Dhabi Duration: Yearly renewable contract<br>Must have CI/CD & Git Ops: Secure, scalable pipelines; Git Ops & Dev Sec Ops across the full SDLCIaC & Automation: Infrastructure / config / policy as code; immutable infra; self-service enablement Dev Sec Ops: Security scanning, secrets management, supply-chain controls & secure-by-default pipelines Chapter Build: Hire, develop & deploy Dev Ops engineers into cross-functional product & platform teams<br>Required Skills & Experience Strong Dev Ops, platform engineering or cloud engineering leadership experience, including building teams, setting standards, coaching engineers, and driving adoption across multiple delivery teams Deep practical knowledge of infrastructure as code, configuration management, immutable infrastructure, Git Ops, CI/CD, release engineering, automated testing, and environment automation Strong understanding of Dev Ops tooling across Git platforms, CI/CD engines, artifact repositories, container registries, orchestration platforms, IaC tools, observability platforms, and security automation Experience with cloud platforms, container platforms and cloud-native operating models, including Azure, AWS, Open Shift, Kubernetes, virtualization and hybrid or sovereign cloud environments Proven ability to embed Dev Sec Ops practices, including pipeline security, policy as code, secrets management, vulnerability scanning, supply-chain controls, and secure configuration standards Experience designing self-service engineering capabilities, reusable templates, paved roads, developer enablement materials, and automation patterns that reduce dependency on central teams Strong engineering mindset with ability to define coding, scripting, automation, review, testing, documentation, and operational standards for Dev Ops engineers Strong knowledge of observability, monitoring, logging, metrics, tracing, alerting, incident response, SRE practices and continuous improvement of reliability and recovery Excellent stakeholder management and influencing skills, with the ability to align architecture, security, operations, platform, and delivery teams around practical engineering standards Preferred background in government, regulated environments, enterprise platforms, critical digital services, cloud transformation, or large-scale engineering modernization programs

Location: Abu Dhabi Duration: Yearly renewable contract<br>Must have CI/CD & Git Ops: Secure, scalable pipelines; Git Ops & Dev Sec Ops across the full SDLCIaC & Automation: Infrastructure / config / policy as code; immutable infra; self-service enablement Dev Sec Ops: Security scanning, secrets management, supply-chain controls & secure-by-default pipelines Chapter Build: Hire, develop & deploy Dev Ops engineers into cross-functional product & platform teams<br>Required Skills & Experience Strong Dev Ops, platform engineering or cloud engineering leadership experience, including building teams, setting standards, coaching engineers, and driving adoption across multiple delivery teams Deep practical knowledge of infrastructure as code, configuration management, immutable infrastructure, Git Ops, CI/CD, release engineering, automated testing, and environment automation Strong understanding of Dev Ops tooling across Git platforms, CI/CD engines, artifact repositories, container registries, orchestration platforms, IaC tools, observability platforms, and security automation Experience with cloud platforms, container platforms and cloud-native operating models, including Azure, AWS, Open Shift, Kubernetes, virtualization and hybrid or sovereign cloud environments Proven ability to embed Dev Sec Ops practices, including pipeline security, policy as code, secrets management, vulnerability scanning, supply-chain controls, and secure configuration standards Experience designing self-service engineering capabilities, reusable templates, paved roads, developer enablement materials, and automation patterns that reduce dependency on central teams Strong engineering mindset with ability to define coding, scripting, automation, review, testing, documentation, and operational standards for Dev Ops engineers Strong knowledge of observability, monitoring, logging, metrics, tracing, alerting, incident response, SRE practices and continuous improvement of reliability and recovery Excellent stakeholder management and influencing skills, with the ability to align architecture, security, operations, platform, and delivery teams around practical engineering standards Preferred background in government, regulated environments, enterprise platforms, critical digital services, cloud transformation, or large-scale engineering modernization programs

Company Description At XPIN AI, we are building the next generation of sovereign, enterprise-grade AI platforms that transform how governments and enterprises operate. This role requires deep expertise in modern frontend technologies, strong engineering leadership, and the ability to shape product direction while delivering highly performant, scalable, secure, and visually compelling AI applications.<br>As a Principal Frontend Engineer, you will define the frontend engineering vision, establish technical standards, mentor engineering teams, and work closely with product, UX, AI, and backend teams to build exceptional user experiences for complex, data-intensive, AI-powered platforms.<br>Responsibilities Define and continuously evolve XPIN AI’s frontend architecture, engineering standards, and technology stack. Establish best practices for code quality, maintainability, security, performance, scalability, accessibility, and testing. Lead architecture reviews, technical discussions, and engineering decisions while ensuring alignment with business objectives and product vision. Drive adoption of AI-assisted software engineering practices to improve development speed, code quality, testing, and developer productivity. Design and develop advanced dashboards, intelligent workspaces, real-time operational interfaces, and rich data visualizations. Champion modern frontend frameworks, component libraries, and development tooling. Partner closely with Product Managers, UX Designers, AI Engineers, Solution Architects, and Backend Engineers to transform complex business workflows into intuitive digital experiences. Build and maintain enterprise-grade design systems and reusable component libraries that ensure consistency across all XPIN AI products. Mentor and coach frontend engineers, promoting technical excellence, innovation, and engineering craftsmanship. Drive the adoption of AI and Large Language Model powered development practices across engineering teams. Advocate engineering excellence while fostering a culture of continuous improvement, ownership, and innovation. Contribute to technical hiring, engineering culture, and long-term technology strategy.<br>Qualifications Strong Front-End Development skills, including proficiency with modern Java Script frameworks (e.g., React, Vue, or Angular) and component-based architectures. Experience with Responsive Web Design and creating accessible, cross-browser, and mobile-friendly user interfaces. Solid Web Development and Software Development skills, including version control (Git), testing, debugging, and performance optimization. Understanding of Back-End Web Development concepts, RESTful APIs, and integration with server-side services. Ability to collaborate in remote teams, communicate clearly, and participate in code reviews and technical discussions. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Background in AI-driven or data-intensive applications is a plus, along with familiarity with security best practices in web applications. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.10+ years of professional frontend engineering experience, including at least 3 years in a Principal, Lead, or Staff Engineering role. Expert-level proficiency in Java Script, Type Script, React, modern state management libraries (Redux, Mob X, Zustand, etc.), frontend architecture, and build systems. Proven experience designing scalable frontend architectures for enterprise Saa S, AI, Gov Tech, or large-scale digital platforms. Strong expertise in performance optimization, rendering large datasets, responsive UI engineering, and browser performance tuning. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Demonstrated ability to collaborate across multidisciplinary teams while influencing both technical architecture and product strategy. Excellent communication skills with the ability to explain complex technical concepts to business and executive stakeholders. Practical experience with AI-assisted software development, including code generation, automated testing, intelligent refactoring, developer copilots, and LLM-powered engineering workflows.<br>Preferred Qualifications:Strong experience building data-intensive enterprise platforms involving analytics, digital twins, business intelligence, workflow orchestration, or operational dashboards. Experience developing graph-based applications, workflow builders, visual orchestration tools, or state management platforms using React Flow, XFlow, or similar technologies. Experience building real-time collaborative web applications using Web Sockets, streaming architectures, or event-driven systems. Good understanding of modern data engineering concepts including data pipelines, transformation frameworks, metadata management, and data governance. Passion for emerging technologies, continuous learning, and building world-class enterprise software.<br>What we look for:At XPIN AI, we are looking for builders, innovators, and problem solvers who thrive in fast-moving, high-impact environments. You should be intellectually curious, adaptable, and passionate about solving complex challenges using cutting-edge AI technologies.<br>The ideal candidate embraces ownership, values collaboration, and enjoys working alongside exceptional engineers, designers, and AI specialists to create products that redefine industries. You are driven by engineering excellence, customer success, and the opportunity to shape the future of sovereign AI, Agentic AI, and enterprise intelligence platforms.<br>If you are excited about building technologies that empower governments, enterprises, and mission-critical organizations while pushing the boundaries of AI innovation, XPIN AI is the place where your ideas can make a lasting global impact.

Company Description At XPIN AI, we are building the next generation of sovereign, enterprise-grade AI platforms that transform how governments and enterprises operate. This role requires deep expertise in modern frontend technologies, strong engineering leadership, and the ability to shape product direction while delivering highly performant, scalable, secure, and visually compelling AI applications.<br>As a Principal Frontend Engineer, you will define the frontend engineering vision, establish technical standards, mentor engineering teams, and work closely with product, UX, AI, and backend teams to build exceptional user experiences for complex, data-intensive, AI-powered platforms.<br>Responsibilities Define and continuously evolve XPIN AI’s frontend architecture, engineering standards, and technology stack. Establish best practices for code quality, maintainability, security, performance, scalability, accessibility, and testing. Lead architecture reviews, technical discussions, and engineering decisions while ensuring alignment with business objectives and product vision. Drive adoption of AI-assisted software engineering practices to improve development speed, code quality, testing, and developer productivity. Design and develop advanced dashboards, intelligent workspaces, real-time operational interfaces, and rich data visualizations. Champion modern frontend frameworks, component libraries, and development tooling. Partner closely with Product Managers, UX Designers, AI Engineers, Solution Architects, and Backend Engineers to transform complex business workflows into intuitive digital experiences. Build and maintain enterprise-grade design systems and reusable component libraries that ensure consistency across all XPIN AI products. Mentor and coach frontend engineers, promoting technical excellence, innovation, and engineering craftsmanship. Drive the adoption of AI and Large Language Model powered development practices across engineering teams. Advocate engineering excellence while fostering a culture of continuous improvement, ownership, and innovation. Contribute to technical hiring, engineering culture, and long-term technology strategy.<br>Qualifications Strong Front-End Development skills, including proficiency with modern Java Script frameworks (e.g., React, Vue, or Angular) and component-based architectures. Experience with Responsive Web Design and creating accessible, cross-browser, and mobile-friendly user interfaces. Solid Web Development and Software Development skills, including version control (Git), testing, debugging, and performance optimization. Understanding of Back-End Web Development concepts, RESTful APIs, and integration with server-side services. Ability to collaborate in remote teams, communicate clearly, and participate in code reviews and technical discussions. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Background in AI-driven or data-intensive applications is a plus, along with familiarity with security best practices in web applications. Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.10+ years of professional frontend engineering experience, including at least 3 years in a Principal, Lead, or Staff Engineering role. Expert-level proficiency in Java Script, Type Script, React, modern state management libraries (Redux, Mob X, Zustand, etc.), frontend architecture, and build systems. Proven experience designing scalable frontend architectures for enterprise Saa S, AI, Gov Tech, or large-scale digital platforms. Strong expertise in performance optimization, rendering large datasets, responsive UI engineering, and browser performance tuning. Experience with build tools and front-end ecosystems (e.g., Webpack, Vite, ESLint, CSS preprocessors, or Tailwind CSS). Demonstrated ability to collaborate across multidisciplinary teams while influencing both technical architecture and product strategy. Excellent communication skills with the ability to explain complex technical concepts to business and executive stakeholders. Practical experience with AI-assisted software development, including code generation, automated testing, intelligent refactoring, developer copilots, and LLM-powered engineering workflows.<br>Preferred Qualifications:Strong experience building data-intensive enterprise platforms involving analytics, digital twins, business intelligence, workflow orchestration, or operational dashboards. Experience developing graph-based applications, workflow builders, visual orchestration tools, or state management platforms using React Flow, XFlow, or similar technologies. Experience building real-time collaborative web applications using Web Sockets, streaming architectures, or event-driven systems. Good understanding of modern data engineering concepts including data pipelines, transformation frameworks, metadata management, and data governance. Passion for emerging technologies, continuous learning, and building world-class enterprise software.<br>What we look for:At XPIN AI, we are looking for builders, innovators, and problem solvers who thrive in fast-moving, high-impact environments. You should be intellectually curious, adaptable, and passionate about solving complex challenges using cutting-edge AI technologies.<br>The ideal candidate embraces ownership, values collaboration, and enjoys working alongside exceptional engineers, designers, and AI specialists to create products that redefine industries. You are driven by engineering excellence, customer success, and the opportunity to shape the future of sovereign AI, Agentic AI, and enterprise intelligence platforms.<br>If you are excited about building technologies that empower governments, enterprises, and mission-critical organizations while pushing the boundaries of AI innovation, XPIN AI is the place where your ideas can make a lasting global impact.

Job Description for Cloud Architect (Azure, AWS & Oracle OCI) Multi-Cloud Architecture • Security & Governance • Enterprise-Scale Delivery Position Summary The Cloud Architect is responsible for designing, governing, and evolving SDD’s multi-cloud architecture across Microsoft Azure, Amazon Web Services (AWS), and Oracle Cloud Infrastructure (OCI). The role ensures cloud platforms are secure, scalable, cost-efficient, resilient, and compliant with government and enterprise standards while supporting diverse workloads such as Iaa S, Paa S, container platforms, databases, DR, and digital services. This is a highly technical role requiring strong hands-on experience, deep architectural thinking, and the ability to guide engineering teams and senior stakeholders through complex cloud decisions.<br>Core Responsibilities1. Multi-Cloud Architecture & Strategy Design and maintain reference architectures for:Azure, AWS, and Oracle OCIHybrid and multi-cloud connectivity Sovereign cloud and data residency models Define cloud adoption patterns for:Iaa S & Paa S workloads Container platforms (AKS, EKS, OKE) Database services (Azure SQL, RDS, Autonomous DB, Exadata) DR and business continuity Ensure consistency and interoperability across cloud providers.<br>2. Cloud Landing Zones & Foundations Architect and govern cloud Landing Zones for:Identity & access management Network segmentation Security baselines Logging and monitoring Cost management & tagging Implement enterprise standards for:Account/subscription structures Network hubs & spokes Shared services Multi-tenant isolation<br>3. Networking & Connectivity Design secure connectivity:Site-to-site VPNClient VPNExpress Route / Direct Connect / Fast Connect Inter-cloud connectivity Define cloud network architectures:VPC/VNet design Subnetting and routing Load balancing DNS and traffic management<br>4. Security Architecture & Governance Define and enforce cloud security architecture:IAM, RBAC, least privilege Encryption at rest and in transit Key management (KMS, HSM) Secure network segmentation Zero Trust principles Ensure compliance with:Government security regulations ISO 27001 / NISTCloud Security Alliance (CSA) guidance Collaborate with security teams on threat models and controls.<br>5. Platform, Paa S & Container Architecture Architect cloud-native platforms including:AKS, EKS, OKEServerless (Azure Functions, Lambda) API gateways and integration services Define standards for:CI/CD integration Dev Sec Ops pipelines Observability and monitoring Support application modernization and cloud-native adoption.6. Resilience, DR & Availability Design HA/DR architectures:Multi-AZ / multi-region Backup & replication strategies Cross-cloud DR scenarios Define RTO/RPO targets and validate DR designs through testing.7. Cost Optimization & Fin Ops Alignment Work closely with Fin Ops teams to:Define cost-efficient architectures Optimize resource sizing Implement tagging and chargeback models Evaluate reserved instances and savings plans Ensure architectural decisions consider long-term cost impact.8. Technical Leadership & Governance Review and approve cloud designs and build documents. Guide engineering teams and vendors during implementation. Act as escalation point for complex technical challenges. Maintain architectural standards, patterns, and documentation.9. Documentation & Stakeholder Engagement Produce high-quality documentation:Reference architectures Solution designs Standards and guidelines Decision records Present technical designs and trade-offs to senior management and governance boards.<br>Required Experience10–15 years of IT experience, with 7+ years in cloud architecture roles. Strong hands-on experience across:Azure (core requirement) AWS (core requirement) Oracle OCI (core requirement) Proven experience designing and operating enterprise-scale, multi-cloud environments. Experience in government, regulated, or large enterprise environments is highly preferred.<br>Skills & Competencies Technical Skills Deep expertise in:Azure (Networking, Identity, Paa S, Security, DR) AWS (VPC, IAM, EC2, RDS, EKS, Security) OCI (VCN, IAM, Autonomous DB, Exadata, Fast Connect) Strong understanding of:Cloud networking & security Hybrid connectivity Containers and orchestration Cloud-native design patterns Soft Skills Strong analytical and problem-solving skills. Ability to explain complex technical concepts clearly. Strong documentation and presentation skills. Leadership mindset with collaborative approach.<br>Preferred Certifications Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Oracle OCI Architect Professional CCSP / CISSP (advantage) ITIL v4 Foundation (advantage)<br>Key Deliverables Approved multi-cloud reference architectures. Secure and standardized landing zones. Documented cloud standards and governance models. Resilient and compliant cloud platforms. Optimized cloud architectures aligned with Fin Ops. Technical guidance for cloud migrations and modernization.<br>KPIsArchitectural compliance across cloud environments. Cloud platform stability and scalability. Reduction in security and design risks. Adoption of standardized architectures. Cost optimization achieved through design decisions. Stakeholder satisfaction with architectural guidance.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Title: DevSecOps Manager</strong></p><br><br><p><strong>Department: Digital Infrastructure &amp; Systems</strong></p><br><br><p><strong>Reports To: Head of Digital Infrastructure &amp; Systems</strong></p><br><br><p><strong>Job Summary:</strong></p><br><br><p>We are seeking a highly skilled and experienced DevSecOps Section Manager to</p><br><br><p>establish, lead, and manage the enterprise DevSecOps practice within our Digital</p><br><br><p>Infrastructure &amp; Systems Department.</p><br><br><p>The role is responsible for building and operating a modern DevSecOps ecosystem that</p><br><br><p>supports government-scale digital services and hybrid multi-cloud environments across on</p><br><br><p>premises and public cloud platforms. The ideal candidate must combine strong leadership</p><br><br><p>and people management capabilities with deep hands-on technical expertise in</p><br><br><p>Kubernetes/OpenShift, GitLab CI/CD, cloud platforms, automation, security integration, and</p><br><br><p>observability solutions.</p><br><br><p>This position will lead the DevSecOps strategy, governance, automation frameworks, CI/CD</p><br><br><p>pipelines, container platforms, and developer enablement initiatives while ensuring</p><br><br><p>compliance, scalability, security, and operational excellence.</p><br><br><p><strong>Key Responsibilities:</strong></p><br><br><p>Leadership &amp; Management</p><br><br><p>* Establish and lead the DevSecOps Section, including organizational structure,</p><br><br><p>operating model, and roadmap.</p><br><br><p>* Build, mentor, and manage a high-performing DevSecOps engineering team.</p><br><br><p>* Define team KPIs, SLAs, technical standards, and governance processes.</p><br><br><p>* Manage project delivery timelines, resource planning, workload prioritization, and</p><br><br><p>stakeholder expectations.</p><br><br><p>* Drive Agile and DevSecOps culture adoption across internal teams and government</p><br><br><p>entities.</p><br><br><p>* Coordinate with Infrastructure, Security, Operations, Digital, and Architecture teams</p><br><br><p>to ensure seamless integration and service delivery.</p><br><br><p>* Conduct performance management, coaching, technical mentoring, and capability</p><br><br><p>development for engineers.</p><br><br><p>* Lead vendor coordination, technical workshops, onboarding, and enterprise platform</p><br><br><p>adoption initiatives.</p><br><br><p><strong>Technical &amp; Platform Responsibilities</strong></p><br><br><p>DevSecOps Platforms &amp; CI/CD</p><br><br><p>* Design, implement, and manage enterprise CI/CD platforms using GitLab and related</p><br><br><p>DevOps toolchains.</p><br><br><p>* Build secure CI/CD pipelines with integrated security scanning, compliance</p><br><br><p>validation, and automated testing.</p><br><br><p>* Implement Infrastructure as Code (IaC) and GitOps methodologies.</p><br><br><p>* Standardize DevSecOps onboarding frameworks for applications and development</p><br><br><p>teams.</p><br><br><p><strong>Container Platforms &amp; Kubernetes</strong></p><br><br><p>* Manage enterprise Kubernetes/OpenShift environments using Red Hat OpenShift.</p><br><br><p>* Lead container platform architecture, multi-cluster operations, governance,</p><br><br><p>scalability, resiliency, and platform security.</p><br><br><p>* Support containerized workloads, microservices, and platform engineering initiatives.</p><br><br><p>* Implement enterprise-grade backup, DR, HA, storage integration, and monitoring for</p><br><br><p>container platforms.</p><br><br><p><strong>Cloud &amp; Hybrid Infrastructure</strong></p><br><br><p>* Manage DevSecOps integration across hybrid cloud platforms including Microsoft</p><br><br><p>Microsoft Azure and private cloud infrastructure.</p><br><br><p>* Enable secure cloud-native application deployment pipelines.</p><br><br><p>* Implement automation and orchestration across cloud and on-premise platforms.</p><br><br><p>* Support multi-cloud operational models and cloud governance standards.</p><br><br><p>Security &amp; Compliance</p><br><br><p>* Embed security controls into the software delivery lifecycle (DevSecOps approach).</p><br><br><p>* Integrate SAST, DAST, container security, secrets management, vulnerability</p><br><br><p>management, and compliance automation into CI/CD pipelines.</p><br><br><p>* Ensure alignment with cybersecurity and digital sovereignty standards.</p><br><br><p>* Collaborate with Security Operations and GRC teams on risk remediation and</p><br><br><p>compliance initiatives.</p><br><br><p>Observability &amp; Monitoring</p><br><br><p>* Lead enterprise observability and monitoring strategy implementation.</p><br><br><p>* Implement centralized logging, tracing, monitoring, and performance analytics</p><br><br><p>platforms.</p><br><br><p>* Integrate observability solutions across Kubernetes, cloud, middleware, applications,</p><br><br><p>and infrastructure layers.</p><br><br><p>* Drive proactive monitoring, alerting, capacity planning, and reliability engineering</p><br><br><p>practices.</p><br><br><p><strong>Qualifications &amp; Experience:</strong></p><br><br><p><strong>Education</strong></p><br><br><p>* Bachelor's degree in computer science, Information Technology, Engineering, or</p><br><br><p>related field.</p><br><br><p>* Master's degree is preferred.</p><br><br><p>* Minimum 12+ years in IT Infrastructure, Cloud, DevOps, or Platform Engineering.</p><br><br><p>* Minimum 7+ years in DevOps/DevSecOps leadership or management role.</p><br><br><p>* Strong experience managing enterprise-scale DevSecOps and container platforms.</p><br><br><p>* Proven experience in hybrid cloud and Kubernetes/OpenShift environments.</p><br><br><p>Experience in government, enterprise shared services, or large-scale regulated</p><br><br><p>environments is highly preferred</p><br><br><p>Skills &amp; Competencies:</p><br><br><p><strong>Mandatory Skills</strong></p><br><br><p>* Strong expertise in Red Hat OpenShift administration and architecture.</p><br><br><p>* Strong expertise in GitLab CI/CD pipelines and GitOps practices.</p><br><br><p>* Experience with Microsoft Azure cloud services and hybrid cloud integration.</p><br><br><p>* Strong understanding of Kubernetes, containers, microservices, and platform</p><br><br><p>engineering.</p><br><br><p>* Hands-on experience with automation and IaC tools such as Ansible, Terraform, and</p><br><br><p>Helm.</p><br><br><p>* Strong understanding of DevSecOps security controls and secure SDLC.</p><br><br><p>* Experience with observability and monitoring platforms such as Dynatrace,</p><br><br><p>Prometheus, Grafana, ELK, or OpenTelemetry.</p><br><br><p>* Experience with API integration, automation frameworks, and enterprise middleware</p><br><br><p>integration.</p><br><br><p>* Knowledge of Linux, networking, storage, virtualization, and enterprise infrastructure</p><br><br><p>concepts.</p><br><br><p><strong>Leadership &amp; Soft Skills</strong></p><br><br><p>* Strong leadership, communication, and stakeholder management capabilities.</p><br><br><p>* Excellent team management and mentoring skills.</p><br><br><p>* Strong analytical, troubleshooting, and decision-making abilities.</p><br><br><p>* Ability to work under pressure in enterprise operational environments.</p><br><br><p>* Strong presentation and reporting skills for management and executive leadership.</p><br><br><p>* Ability to drive transformation initiatives and organizational change.</p><br><br><br><p><strong>Preferred Certifications</strong></p><br><br><p><strong>DevOps &amp; Kubernetes</strong></p><br><br><p>* Red Hat Certified Specialist in OpenShift Administration</p><br><br><p>* Red Hat Certified Architect (RHCA)</p><br><br><p>* Certified Kubernetes Administrator (CKA)</p><br><br><p>* Certified Kubernetes Security Specialist (CKS)</p><br><br><p><strong>Cloud</strong></p><br><br><p>* Microsoft Certified: Azure Solutions Architect Expert</p><br><br><p>* Microsoft Certified: Azure DevOps Engineer Expert</p><br><br><p><strong>GitLab &amp; Automation</strong></p><br><br><p>* GitLab Certified CI/CD Associate or Professional</p><br><br><p>* Red Hat Ansible Automation Certification</p><br><br><p>* Terraform Associate Certification</p><br><br><p><strong>Security &amp; Governance</strong></p><br><br><p>* Certified Information Systems Security Professional (CISSP)</p><br><br><p>* Certified Cloud Security Professional (CCSP)</p><br><br><p>* DevSecOps Foundation Certification</p><br><br><p><strong>IT Service Management &amp; Agile</strong></p><br><br><p>* ITIL v4 Foundation or Managing Professional</p><br><br><p>* PMI-PMP or PRINCE2</p><br><br><p>* Certified Scrum Master (CSM) or SAFe Certification</p><br><br><br><p>Preferred Candidate Profile</p><br><br><p>We are looking for a technically strong leader who can operate strategically and hands-on</p><br><br><p>when needed. The ideal candidate should be capable of building the DevSecOps function</p><br><br><p>from the ground up, managing enterprise platforms, driving automation culture, and leading</p><br><br><p>transformation initiatives across hybrid cloud environments.</p><br><br> <br><br> </div>