devops architect

Integrant

<div><p>We are seeking an exceptional Senior Lead who combines deep hands-on SysOps/HPC expertise with the strategic vision of a solution architect. This is a rare dual-track role: you operate at the intersection of elite technical execution and client-facing presales, designing and running mission-critical GPU, HPC, and Kubernetes platforms while simultaneously co-creating opportunity with our commercial teams.</p><p></p><p><br>
This role carries both SysOps, HPC depth and DevOps. You are expected to spend <b>at least 60% of your time on implementation and technical execution</b></p><p></p>
What You Will Do<p><b>
Presales &amp; Business Development</b></p><ul><li>Partner with sales and solution teams to identify and qualify new opportunities</li><li>Lead or support technical presales activities: discovery workshops, RFP responses, architecture presentations</li><li>Build and deliver proof-of-concepts (POCs) that demonstrate platform capabilities to prospective clients</li><li>Prepare high-quality technical materials</li><li>Act as a trusted technical advisor during client conversations, proposing solutions aligned to business goals</li></ul><p></p><p><b><br>
In-Account Delivery &mdash; SysOps &amp; DevOps Execution</b></p><ul><li>Operate directly within client accounts as a senior SysOps/DevOps engineer
</li><li>Run, troubleshoot, and optimize production-grade Kubernetes clusters and GPU/HPC environments hands-on</li><li>Own Linux system administration at a deep level: kernel tuning, storage, networking, performance profiling</li><li>Implement and maintain IaC pipelines, GitOps workflows, and CI/CD systems</li><li>Serve as the senior escalation point for complex operational incidents within accounts</li></ul><p></p><p><b><br>
Architecture &amp; Solution Design</b></p><ul><li>Design end-to-end platform architectures spanning cloud, hybrid, and on-premises HPC environments</li><li>Define workload isolation models, networking architectures, and storage strategies for multi-tenant platforms</li><li>Recommend and validate technology choices aligned to client scale, budget, and team maturity</li><li>Produce architecture decision records (ADRs), solution blueprints, and technical runbooks</li></ul><p></p>
Technical Competencies &amp; Requirements<p><b>
1. Architecture &amp; System Design</b></p><ul><li>Design production-grade multi-cluster Kubernetes platforms:</li><li>RKE2, EKS (AWS), AKS (Azure) at enterprise scale</li><li>GPU-aware clusters: NVIDIA H100 / A100 / B200 node pools</li><li>Hybrid cloud + on-premises HPC infrastructure</li><li>Define and document:</li><li>Workload isolation: namespaces, MIG partitioning, multi-tenancy models</li><li>Networking: BGP peering, Ingress controllers, service mesh (Istio / Cilium)</li><li>Storage: Longhorn, Ceph, distributed and high-throughput file systems</li></ul><p></p><p><b><br>
2. Platform Engineering &amp; GitOps Strategy</b></p><ul><li>Define and enforce platform standards across the delivery lifecycle</li><li>GitOps tooling: ArgoCD, Fleet &mdash; declarative cluster management</li><li>CI/CD pipelines: Azure DevOps, Jenkins &mdash; build, test, promote</li><li>Infrastructure as Code: Terraform (modules, remote state, workspaces), Ansible</li><li>Standardize cluster bootstrapping, app deployment lifecycle, environment promotion (Dev  QA  Prod)</li></ul><p></p><p><b><br>
3. AI / GPU Infrastructure Architecture (Priority Competency)</b></p><ul><li>Design and operate GPU compute platforms at scale:</li><li>GPU Operator deployment and lifecycle management</li><li>MIG (Multi-Instance GPU) partitioning for multi-tenant workloads</li><li>Advanced scheduling: Run:AI, Kubernetes-native GPU scheduling (device plugins)</li><li>Understand AI workload classes and their infrastructure implications:</li><li>Distributed training workloads (data/model/pipeline parallelism)</li><li>Inference pipelines &mdash; NVIDIA Triton Inference Server, TensorRT optimization</li><li>Align infrastructure to the full AI stack:</li><li>CUDA stack, cuDNN, NCCL collective communication libraries</li><li>High-speed networking: InfiniBand (HDR/NDR), RoCE for RDMA</li><li>GPUDirect RDMA / GPUDirect Storage for low-latency data paths</li></ul><p></p><p><b><br>
4. Observability &amp; Reliability Engineering</b></p><ul><li>Define and implement full-stack observability:</li><li>Metrics: Prometheus, Thanos (long-term retention, multi-cluster)</li><li>Logs: Loki, Fluent Bit</li><li>GPU telemetry: DCGM Exporter, NVIDIA Nsight Systems</li><li>Build operational frameworks:</li><li>SLO / SLA definitions and error budget tracking</li><li>Alerting strategy &mdash; noise reduction, severity routing</li><li>Incident response playbooks and on-call runbooks</li></ul><p></p><p><b><br>
5. Security &amp; Multi-Tenancy Architecture</b></p><ul><li>Design zero-trust security postures for multi-tenant platforms</li><li>Secret management: HashiCorp Vault, External Secrets Operator</li><li>Identity and access: IAM, RBAC, SSO/OIDC integration</li><li>Network isolation: NetworkPolicy, micro-segmentation, mTLS</li><li>Secure GPU sharing: MIG isolation, VGPU licensing, tenant boundary enforcement</li></ul><p></p><p><b><br>
6. HPC, Data &amp; Storage Architecture (Priority Competency)</b></p><ul><li>Understand the high-performance storage for AI/HPC workloads:</li><li>GPUDirect Storage &mdash; bypassing CPU for GPU-native I/O</li><li>Distributed file systems: Weka (high-throughput NFS/S3), Ceph (scalable object/block)</li><li>Storage tiering, caching strategies, and data lifecycle management</li><li>Size and validate storage architectures against workload I/O profiles</li></ul><p></p><p><b><br>
7. Operational Leadership &amp; Linux Systems</b></p><ul><li>Lead incident response and root cause analysis (RCA) for critical production issues</li><li>Define upgrade strategies, change management procedures, and disaster recovery plans</li><li>Write and maintain runbooks, operational playbooks, and knowledge base content</li><li>Integrate organizational processes, compliance requirements, and security policies into operational frameworks</li><li>Deep Linux expertise:</li><li>Kernel tuning (CPU governor, NUMA, IRQ affinity, hugepages)</li><li>Storage I/O scheduling, NVMe optimization</li><li>Network stack tuning for RDMA / InfiniBand</li><li>System performance profiling and bottleneck analysis</li></ul><p></p><p><br>
</p>Candidate Profile &mdash; Who You Are<ul><li>you are comfortable running production systems.</li><li>You have stronger SysOps and HPC depth than DevOps breadth, and you embrace that identity</li><li>You can shift fluidly between running a live incident, presenting an architecture to a CTO, and reviewing a POC demo environment</li><li>You communicate technical complexity clearly &mdash; to engineers and to C-level stakeholders</li><li>You understand why specific tooling choices matter (not just how to configure them) and can articulate trade-offs in presales conversations</li><li>You are comfortable owning outcomes across both commercial (presales) and delivery (operations) dimensions</li><li>You thrive in ambiguity and can scope both short POCs and long-horizon platform programs</li></ul><b><br>
Requirements</b><p><b><br>
Required</b></p><ul><li>10+ years in platform/infrastructure engineering, with at least 2 years in architect-level role</li><li>Proven hands-on experience operating Kubernetes at scale in production (multi-cluster, multi-tenant)</li><li>Significant Linux systems administration experience &mdash; kernel, networking, storage at a low level</li><li>HPC and/or GPU infrastructure experience &mdash; physical GPU servers, NCCL, InfiniBand, or high-speed fabrics</li><li>Demonstrable presales or client-facing experience
</li><li>IaC experience: Terraform and/or Ansible in production environments</li><li>Strong understanding of GitOps and CI/CD pipelines in enterprise settings</li></ul><p></p><p><b><br>
Strongly Preferred</b></p><ul><li>Experience with NVIDIA GPU Operator, MIG partitioning, Run:AI, or equivalent GPU scheduling tooling</li><li>Knowledge of distributed AI training infrastructure (PyTorch DDP, Horovod, DeepSpeed) from an infrastructure perspective</li><li>Familiarity with NVIDIA Triton Inference Server or TensorRT deployment pipelines</li><li>Experience with Weka, Ceph, or GPUDirect Storage in HPC/AI environments</li><li>Hands-on experience with Vault, External Secrets, and zero-trust network architectures</li><li>Exposure to bare-metal provisioning and HPC cluster management (Slurm, PBS, or equivalent)</li></ul><p></p><p><b><br>
Certifications (Advantageous)</b></p><ul><li>CKA / CKS (Certified Kubernetes Administrator / Security Specialist)</li><li>RHCE / RHCA (Red Hat Certified Engineer / Architect)</li><li>AWS Solutions Architect / Azure Solutions Architect Expert</li><li>HashiCorp Terraform Associate or Vault Associate</li><li>NVIDIA DLI certifications (GPU computing, AI infrastructure)</li></ul><b><br>
Benefits</b><br>
<ul><li>
Why Integrant?
</li><li>Competitive compensation package
</li><li>PTO, full medical and dental coverage, etc.
</li><li>Opportunity to travel and work onsite with U.S. customers
</li><li>In-house Technical and English training programs
</li><li>Dedicated learning time (check out our 4Plus1 Program) [link]
</li><li>Interest free loans
</li><li>Flexible work schedules
</li><li>Perks: events, sponsored lunch, game area, rooftop hangout + more!</li></ul></div>

Devops & SysOps Architect

Adree

<div><p>Adree is seeking a <b>DevSecOps, Architect</b> to support our product development by leveraging technical and analytical expertise to articulate the value of secure, scalable digital solutions. In this role, you will work closely with stakeholders to understand business goals and technical requirements, and clearly demonstrate how target-state DevSecOps architecture and golden path standards can address their needs.</p><p>
You will be responsible for bridging the gap between secure supply chain infrastructure and seamless delivery execution, collaborating across teams to craft exceptional enterprise platforms. By blending infrastructure-as-code, GitOps workflows, automated security gates, and container orchestration, you will ensure our digital products are both highly resilient and fully auditable.</p><p></p>
Key Roles and Responsibilities<ul><li>
Engage with clients and stakeholders to gather requirements and understand their digital product goals.
</li><li>Deliver impactful presentations, reference architectures, and documentation showcasing CI/CD pipelines, artifact lifecycles, and environment strategies.
</li><li>Support the product and engineering teams in developing secure, high-availability Kubernetes and OpenShift clusters across private cloud environments.
</li><li>Provide technical insights and DevSecOps expertise throughout the product lifecycle to drive pipeline patterns, Fortify gates, SBOM/SCA expectations, and Sigstore signing.
</li><li>Collaborate with cross-functional teams (including security, testing, and product managers) to foster a DevOps culture and capture feedback to improve infrastructure offerings.
</li><li>Stay current with industry trends, market changes, IaC standards using Terraform, and configuration standards via Ansible to position solutions effectively.
</li><li>Conduct workshops, architectural reviews, and technical discussions internally and with clients to lead adoption waves and deprecate non-compliant delivery paths.
</li><li>Participate in Agile development processes and team alignments, providing technical mentorship to engineers and ensuring smooth integrations with third parties.</li></ul><br>
<b>
Requirements</b><br>
<br>
Education<ul><li>
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.
</li></ul>Experience<ul><li>
10&ndash;15+ years of overall IT experience, with at least 5+ years dedicated to platform engineering or DevSecOps architecture.
</li><li>Proven track record designing enterprise GitOps models using Argo CD into OpenShift or Kubernetes, including multi-environment promotion.
</li><li>Demonstrated experience working within government, heavily regulated, or complex enterprise sectors is highly preferred.
</li></ul>Skills &amp; Competencies (Technical &amp; Analytical + Soft)<ul><li>
Deep proficiency in enterprise DevSecOps platform design, secure supply chain management, and policy-as-code concepts.
</li><li>Strong hands-on architectural knowledge of Azure DevOps Server, JFrog Artifactory, HashiCorp Vault, Terraform, and Ansible.
</li><li>Expert command over automated testing integrations (e.g., OpenText Service Virtualization, UFT One, UFT Digital Lab, LoadRunner).
</li><li>Analytical skills to design monitoring and operational readiness architectures aligned with AppDynamics, BMC, and Azure Monitoring.
</li><li>Strategic thinking, adoption leadership, and outstanding documentation skills to drive stakeholder alignment and pragmatic architectural trade-offs.
</li></ul>Experience (summary)<ul><li>
Target-state DevSecOps reference architecture and golden path design.
</li><li>Multi-environment GitOps deployment modeling using Argo CD into K8s/OpenShift.
</li><li>End-to-end secure software supply chain implementation (Fortify, Sigstore, Vault).
</li><li>Automated testing gate integration and virtualization orchestration.
</li><li>Infrastructure-as-Code (IaC) and configuration management standardization.
</li><li>Enterprise observability and monitoring architecture deployment.
</li></ul>Skills &amp; Competencies (summary)<ul><li>
Azure DevOps Server &amp; JFrog Artifactory ecosystem.
</li><li>Container orchestration (Kubernetes &amp; Red Hat OpenShift architecture).
</li><li>Infrastructure-as-Code (Terraform &amp; Ansible automation).
</li><li>Application security automation (SCA, SBOM, code signing).
</li><li>Enterprise monitoring (AppDynamics / BMC / Azure Monitoring).
</li><li>Stakeholder relationship management &amp; governance alignment.
</li><li>Prioritization and adoption leadership.
</li><li>Travel for client-facing activities.
</li></ul><p></p><p><b>Job Location: </b>HQ</p></div><p></p>

DevSecOps, Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills:</div>
<div>Azure DevOps; Infrastructure as Code(IaC); Windows Powershell; Digital : Python; C#</div><br>
<div></div><br>
<div>Roles &amp; Responsibilities</div>
<div>Build and maintain Azure DevOps CI/CD pipelines</div>
<div>Implement IaC solutions for microservices-based deployments</div>
<div>Support deployment of services across clusters and regions</div>
<div>Automate build, release, and infrastructure workflows</div>
<div>Monitor, troubleshoot, and maintain service reliability</div>
<div>Participate in incident management (IcM), Sev calls, and RCA</div>
<div>Support test cluster deployment and regional buildout</div>
<div>Manage source control, code changes, and PR workflows</div>
<div>Implement and support DevOps practices for Intune SaaS platform, enabling automated deployments, microservices operations, and reliable cloud delivery.</div><br>
<div></div><br>
<div>TCS Employee Benefits Summary:</div>
<div>Discretionary Annual Incentive.</div>
<div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</div>
<div>Family Support: Maternal &amp; Parental Leaves.</div>
<div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</div>
<div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</div>
<div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</div>
<div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div></div><br>
<div>Salary Range: $38,000 - $112,000 a year</div>
<div>#LI-NS4</div><br>
</div></div></div><div></div><br>
<div><div><div>Location
</div><div>Bellevue, WA
</div></div><div><div>Job Function
</div><div>TECHNOLOGY
</div></div><div><div>Role
</div><div>Lead
</div></div><div><div>Job Id
</div><div>421657
</div></div><div><div>Desired Skills
</div><div>Azure | Cloud DevOps
</div></div><div><div>Salary Range
</div><div>$38,000-$112,000 a year</div></div></div></div><div></div>

DevOps Lead/ Azure DevOps Engineer

Anotech

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Job Purpose:
  <br/>
  <br/>
 </strong>
 The Digital Solutions Architect leads the end-to-end architecture and governance of smart-city digital solutions delivered on Platform. The role ensures that solution designs from multiple vendors align to Platform&rsquo;s reference architectures, cloud-agnostic standards, security/compliance requirements, and platform service catalog. The architect translates business outcomes into actionable solution blueprints, ensures integration with Platform&rsquo;s shared services (identity, observability, data, APIs), and guides delivery through design reviews, implementation assurance, and operational readiness. The role supports scalable, reusable patterns for repeatable onboarding and deployment.
 <br/>
 <br/>
 <strong>
  Qualifications &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Computer Science Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.
  </li>
  <li>
   10+ years in solution/enterprise architecture for large-scale digital platforms (smart city, government, telco, or critical infrastructure preferred).
  </li>
  <li>
   Experience delivering cloud and hybrid solutions with Kubernetes, APIs, identity, and observability.
  </li>
  <li>
   Proven governance involvement (Design Authority, architecture boards, standards and exception processes).
  </li>
  <li>
   Background working with SIs/vendors under RFP/contracted delivery and acceptance criteria.
  </li>
  <li>
   Familiarity with TOGAF/ADM or similar architecture frameworks and agile delivery at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong end-to-end solution architecture skills across apps, data, integration, security, and operations.
  </li>
  <li>
   Ability to govern multi-vendor delivery and drive alignment to standards without slowing execution.
  </li>
  <li>
   Excellent stakeholder management: translate between business, engineering, security, and operations.
  </li>
  <li>
   Proven ability to define NFRs (availability, performance, resiliency, scalability, observability).
  </li>
  <li>
   Structured documentation and decision-making (ADRs, reference architectures, patterns, roadmaps).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Tools
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architecture modeling: ArchiMate / Sparx EA / Visio / Draw.io
  </li>
  <li>
   API &amp; integration: OpenAPI/AsyncAPI, API gateways (Apigee / Azure APIM / Kong)
  </li>
  <li>
   Delivery governance: Azure DevOps / Jira/Confluence, Git (GitHub), IaC (Terraform/Bicep)
   <br/>
   <br/>
  </li>
 </ul>
</div>


Digital Solutions Architect

Wipro

<b>Job Title:</b> TOSCA Automation Architect
<br><b>City:</b> Riyadh
<br><b>State/Province:</b> Riyadh Province
<br><b>Posting Start Date:</b> 7/6/26
<br><b>Wipro Limited (NYSE:</b> WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
<br><br>
<b>TOSCA Automation Architect/Consultant:</b><br>
A Tosca Automation Architect/Consultant designs, develops, and maintains codeless, model-based test automation solutions using Tricentis Tosca to enhance application quality. Responsibilities include creating reusable test components (Modules), executing functional/regression tests for web/mobile applications, integrating with CI/CD pipelines, and driving risk-based testing strategies to optimize release frequency and efficiency.
<br><br>
Key Responsibilities
<br><br>
<b>Test Automation Design:</b> Create, maintain, and execute automated test cases using Tricentis Tosca’s model-based approach.
<br><b>Framework Development:</b> Build and enhance automation frameworks using best practices, including reusability, modularity, and risk-based testing.
<br><b>Integration & Execution:</b> Integrate Tosca with CI/CD tools (e.g., Jenkins) and manage distributed execution for faster testing.
<br><b>Requirement Analysis:</b> Translate manual functional test cases and business requirements (from Jira) into automated scripts.
<br><b>Defect Management:</b> Analyze test execution reports to identify defects, debug automated scripts, and collaborate with developers to resolve issues.
<br><br>
<b>Mentorship:</b> Provide training and guidance on Tosca best practices and new features to team members
<br><br>
͏
<br><br>
Required Skills and Qualifications
<br><br>
<b>Core Expertise:</b> Strong hands-on experience in Tricentis Tosca .
<br><b>Technologies:</b> Experience automating Web, API, and Mobile applications.
<br><b>Methodologies:</b> Strong knowledge of Agile/Scrum and DevOps practices.
<br><b>Experience:</b> 10+ years
<br><b>Mandatory Skills:</b> Tosca Testsuite - Test Automation .
<br><br>
<b>Experience:</b> 8-10 Years .
<br><br>
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

TOSCA Automation Architect

ITC Worldwide

<div>
 <strong>
  About ITC Worldwide
  <br/>
  <br/>
 </strong>
 About the job AWS Authorized Instructor
 <br/>
 <br/>
 ITC Worldwide is a premier provider of cutting-edge technology training and consultancy services. We specialize in delivering high-impact learning experiences across cloud platforms, with a strong focus on AWS, Microsoft, and other enterprise technologies. Our mission is to empower professionals and organizations with the skills they need to thrive in a digital-first world.
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 We are seeking a certified and experienced AWS Authorized Instructor (AAI) to join our elite team of trainers. The ideal candidate will possess deep expertise in AWS services and architectures, a passion for teaching, and a proven ability to deliver engaging and effective training sessions to diverse audiences. This role blends technical mastery with instructional excellence and offers the opportunity to shape the next generation of cloud professionals.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deliver official AWS training courses to corporate clients, professionals, and students.
  </li>
  <li>
   Customize training programs to meet specific client needs and learning objectives.
  </li>
  <li>
   Facilitate hands-on labs, real-world scenarios, and interactive sessions to reinforce learning.
  </li>
  <li>
   Stay current with AWS updates, certifications, and best practices to ensure training relevance.
  </li>
  <li>
   Collaborate with curriculum developers to enhance course materials and lab environments.
  </li>
  <li>
   Provide mentorship and guidance to learners pursuing AWS certifications.
  </li>
  <li>
   Conduct assessments and evaluations to measure training effectiveness.
  </li>
  <li>
   Support marketing and sales teams in promoting AWS training offerings.
  </li>
  <li>
   Maintain AWS Authorized Instructor status through continuous learning and certification.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AWS Authorized Instructor (AAI) certification.
  </li>
  <li>
   Minimum of 7-10 years of experience in cloud computing, with a strong focus on AWS.
  </li>
  <li>
   Proven track record of delivering AWS training across various domains (e.g., Architecting, DevOps, Security).
  </li>
  <li>
   Deep understanding of AWS services such as EC2, S3, Lambda, VPC, IAM, CloudFormation, and more.
  </li>
  <li>
   Excellent presentation, communication, and interpersonal skills.
  </li>
  <li>
   Experience in instructional design and adult learning methodologies.
  </li>
  <li>
   Ability to adapt training delivery to different learning styles and technical levels.
  </li>
  <li>
   Strong problem-solving skills and attention to detail.
  </li>
  <li>
   Willingness to travel for on-site training engagements.
  </li>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Additional AWS certifications (e.g., Solutions Architect Professional, DevOps Engineer).
  </li>
  <li>
   Experience with other cloud platforms (Azure, Google Cloud).
  </li>
  <li>
   Familiarity with DevOps tools and practices.
  </li>
  <li>
   Ability to create multimedia and interactive training content.
  </li>
  <li>
   Knowledge of project management frameworks (Agile, Scrum).
  </li>
  <li>
   Experience in course development, examination, and assessment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Professional Development
  <br/>
  <br/>
 </strong>
 As part of ITC Worldwide, youll have access to continuous learning opportunities, collaboration with top-tier instructors, and a platform to grow your influence in the cloud training ecosystem.
</div>


AWS Authorized Instructor

Valeo

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
  </li>
  <li>
   Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
  </li>
  <li>
   Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
  </li>
  <li>
   CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
  </li>
  <li>
   Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
  </li>
  <li>
   Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
  </li>
  <li>
   Oversee the deployment, maintenance, and backup strategies for databases.
  </li>
  <li>
   Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
  </li>
  <li>
   Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Education &amp; Experience
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
  </li>
  <li>
   5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
  </li>
  <li>
   Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Technical Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
  </li>
  <li>
   Proven ability to design and implement robust, scalable, and secure cloud architectures.
  </li>
  <li>
   Mastery of Docker and Kubernetes administration.
  </li>
  <li>
   Strong proficiency in Terraform.
  </li>
  <li>
   Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
  </li>
  <li>
   Experience managing PostgreSQL and ClickHouse databases.
  </li>
  <li>
   Deep understanding of Linux System Administration.
  </li>
  <li>
   Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
  </li>
  <li>
   Strong proficiency in Python and Bash scripting.
  </li>
  <li>
   Familiarity with DevSecOps tools and practices.
  </li>
  <li>
   Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
  </li>
  <li>
   Bonus: Knowledge of Javascript/Node.js is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Soft Skills &amp; Mindset
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Ability to design long-term solutions rather than quick fixes.
  </li>
  <li>
   Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
  </li>
  <li>
   Comfortable working in a fast-paced environment with evolving requirements.
  </li>
  <li>
   Fluent English is a must.
  </li>
 </ul>
</div>


Senior DevOps Engineer, AI4ALL

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