kubernetes administrator

MetLife

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><div><b>Location</b></div><div>
Hyderabad, Telangana</div>
</div></div></div></div></div><div><div><div><div><div>Working Schedule
</div><div>Full-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>Yes
</div></div><div><div>Posted Date
</div><div>31-Aug-2026
</div></div><div><div>Job ID
</div><div>20288
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p><b>Role Value Proposition</b></p><p>
Seeking a highly skilled and experienced Azure DevOps Engineer with strong expertise in Azure Kubernetes Service (AKS), Kubernetes administration, Helm chart development, and CI/CD automation. The ideal candidate will be responsible for designing, implementing, and maintaining scalable, secure, and highly available cloud-native solutions on Microsoft Azure.</p><p>
This role requires hands-on experience in container orchestration, infrastructure automation, deployment pipelines, monitoring, and DevOps best practices to support modern application delivery and platform engineering initiatives.</p><p><b>
Key Responsibilities</b></p><ul><li>
Design, deploy, configure, and manage Azure Kubernetes Service (AKS) clusters for scalable and secure application hosting.</li><li>
Develop, customize, maintain, and optimize Helm Charts for microservices and platform components.</li><li>
Build, implement, and enhance CI/CD pipelines using Azure DevOps and GitHub Actions.</li><li>
Create and maintain Kubernetes resource definitions using YAML, including Deployments, Services, Ingress, ConfigMaps, Secrets, RBAC, and Network Policies.</li><li>
Manage containerized applications using Docker and container registries such as Azure Container Registry (ACR) and GitHub Packages.</li><li>
Implement automated deployment strategies and release management processes.</li><li>
Configure and maintain monitoring, logging, and alerting solutions using Azure Monitor, Prometheus, Grafana, and related tools.</li><li>
Ensure platform security through RBAC, Secret Management, Network Security Policies, and Azure security best practices.</li><li>
Collaborate with Development, QA, Cloud Engineering, and Platform teams to ensure seamless software delivery.</li><li>
Troubleshoot and resolve issues related to Kubernetes workloads, cluster performance, networking, storage, and CI/CD pipelines.</li><li>
Continuously evaluate and implement DevOps best practices to improve deployment reliability, scalability, and operational efficiency.</li></ul><p><b>
Preferred Qualifications</b></p><p>
Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.</p><p>
Azure certifications such as:</p><ul><li>
Microsoft Certified: Azure Administrator Associate</li><li>
Microsoft Certified: Azure DevOps Engineer Expert</li><li>
Certified Kubernetes Administrator (CKA) (Preferred)</li></ul><p><b>
Technical Skills</b></p><p><b>
Cloud &amp; Containerization</b></p><ul><li>
Strong hands-on experience with Microsoft Azure and Azure Kubernetes Service (AKS).</li><li>
Expertise in Docker containerization and image optimization.</li><li>
Experience managing container registries such as Azure Container Registry (ACR).</li></ul><p><b>
Kubernetes &amp; Helm</b></p><ul><li>
Deep understanding of Kubernetes architecture and core concepts:</li></ul><ul><li>
Pods</li><li>
Deployments</li><li>
Services</li><li>
Ingress Controllers</li><li>
Namespaces</li><li>
ConfigMaps</li><li>
Secrets</li><li>
Horizontal Pod Autoscaler (HPA)</li><li>
RBAC</li><li>
Network Policies</li><li>
Strong expertise in Helm Chart development, templating, packaging, and deployment.</li></ul><p><b>
CI/CD &amp; Automation</b></p><ul><li>
Extensive experience with Azure DevOps Pipelines and/or GitHub Actions.</li><li>
Strong command of YAML scripting for pipeline automation and Kubernetes deployments.</li><li>
Experience implementing automated build, test, deployment, and release workflows.</li></ul><p><b>
Monitoring &amp; Observability</b></p><ul><li>
Hands-on experience with:</li></ul><ul><li>
Azure Monitor</li><li>
Log Analytics</li><li>
Prometheus</li><li>
Grafana</li><li>
Ability to implement proactive monitoring, alerting, and troubleshooting strategies.</li></ul><p><b>
Version Control &amp; Collaboration</b></p><ul><li>
Strong proficiency in Git, branching strategies, pull requests, and code review processes.</li><li>
Experience working within Agile/Scrum environments.</li></ul><p><b>
Troubleshooting</b></p><ul><li>
Strong analytical and debugging skills for:</li></ul><ul><li>
AKS clusters</li><li>
Containerized workloads</li><li>
Networking issues</li><li>
Deployment failures</li><li>
Pipeline optimization</li></ul><p><b>
Good to Have</b></p><ul><li>
Experience with Infrastructure as Code (IaC) using Terraform and/or Bicep.</li><li>
Experience with Istio and service mesh implementations.</li><li>
Knowledge of vCluster environments.</li><li>
Experience with Azure Function Apps and serverless architectures.</li><li>
Familiarity with container and Kubernetes security tools such as:</li></ul><ul><li>
Trivy</li><li>
Aqua Security</li><li>
Prisma CloudUnderstanding of DevSecOps practices and vulnerability management.</li><li>
Understanding of DevSecOps practices and vulnerability management.</li></ul><p><b>
Experience (in years) - </b><b>5+ years</b></p><br>
</div></div></div></div></div><div></div><div><div><div><div><div><br>
<b>About MetLife</b><div></div><div><br>
Recognized on Fortune magazine's list of the &quot;World's Most Admired Companies&quot; and Fortune World&rsquo;s 25 Best Workplaces&trade;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.<div></div><div><br>
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We&rsquo;re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.</div><div></div><div><br>
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</div></div></div></div></div></div></div></div>

DevOps Engineer II

Cohere

<div>
 <strong>
  Who are we?
  <br/>
  <br/>
 </strong>
 Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
 <br/>
 <br/>
 We&rsquo;re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
 <br/>
 <br/>
 We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
 <br/>
 <br/>
 We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
 <br/>
 <br/>
 <strong>
  About North
  <br/>
  <br/>
 </strong>
 North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
 <br/>
 <br/>
 <strong>
  Why This Role?
  <br/>
  <br/>
 </strong>
 This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients&rsquo; engineering teams, you&rsquo;ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
 <br/>
 <br/>
 We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
  </li>
  <li>
   Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
  </li>
  <li>
   Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
  </li>
  <li>
   Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
  </li>
  <li>
   Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You May Be a Good Fit If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have experience with and enjoy working directly with customers
  </li>
  <li>
   You have experience deploying enterprise software in private/hybrid cloud environments
  </li>
  <li>
   You have proven experience administering production Kubernetes clusters and expertise with Helm
  </li>
  <li>
   Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
  </li>
  <li>
   You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
  </li>
  <li>
   You excel in fast-paced environments and can execute while priorities and objectives are a moving target
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Full-Time Employees At Cohere Enjoy These Perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A weekly lunch stipend of $75/&pound;75 or equivalent in your local currency for lunch.
  </li>
  <li>
   Full health and dental benefits, including a separate budget for mental health.
  </li>
  <li>
   RRSP matching, 401K, Pension Scheme.
  </li>
  <li>
   100% Parental Leave top-up for up to 6 months, for either parent.
  </li>
  <li>
   Annual enrichment benefits:
   <br/>
   <br/>
  </li>
 </ul>
 Arts &amp; culture, fitness/wellness, quality time, and a workspace improvement credit.
 <br/>
 <br/>
 Education &amp; learning stipend for conferences, courses, and coaching.
 <br/>
 <br/>
 <ul>
  <li>
   6 weeks of paid vacation (30 working days!)
  </li>
  <li>
   Budget for traveling to other offices if you are remote, plus an annual company offsite.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How And Where We Work
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
  </li>
  <li>
   For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  </li>
  <li>
   For those not near an office: a co-working benefit so you can work alongside others in your city.
  </li>
  <li>
   Everyone receives a $500 home office stipend to set up your workspace properly.
   <br/>
   <br/>
  </li>
 </ul>
 If any of the above doesn&rsquo;t line up exactly with your experience, we still encourage you to apply.
 <br/>
 <br/>
 We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
 <br/>
 <br/>
 We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
 <br/>
 <br/>
 <em>
  Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our
 </em>
 <em>
  official careers
 </em>
 <em>
  page.
 </em>
</div>


Forward Deployed Engineer, Infrastructure Specialist (Europe/Middle East)

Acumen Bay Consultancy

<p><b>Role: </b>Multi-Cloud Architect &amp; DevOps Platform Engineer</p><p><b>Minimum Experience</b>: 18-20 years minimum in Cloud Architecture and DevOps</p><p><b>Location / Pattern: </b>London / Hybrid</p><p><b>Engagement: </b>Permanent</p><p><b>Compensation: </b>&pound;45k to 55k per annum</p><p><b>Hiring Organisation: </b>Acumen Bay Consultancy Limited</p><p><b>Mandatory requirements &mdash; non-negotiable</b></p><p><i>We are deliberately specific here to save everyone's time.</i></p><p>1. <b>Tri-cloud, hands-on. </b>Production delivery experience on all three of AWS, Microsoft Azure and Google Cloud. Depth in at least two and working competence in the third. Certification alone will not evidence this &mdash; we will discuss real designs you have shipped.</p><p>2. <b>DevOps pipeline engineering. </b>You have designed and owned enterprise CI/CD platforms, not merely consumed them. Demonstrable experience leading at least one large-scale pipeline migration or Pipeline-as-Code framework rollout across multiple teams.</p><p>3. <b>Industry experience &mdash; pharma, telecom and banking. </b>Delivery experience across all three regulated sectors: pharmaceutical / life sciences, telecommunications, and financial services / banking. You understand why change control, validation and audit trails exist, and you design for them from the outset.</p><p>4. <b>Infrastructure as Code mastery. </b>Terraform to module-authoring and testing standard, plus at least one of Ansible, Chef, Bicep or ARM.</p><p>5. <b>Kubernetes in production. </b>Managed (GKE / AKS / EKS) and ideally on-premises, including networking, storage, ingress and upgrade strategy.</p><p>6. <b>Cloud security depth. </b>IAM, network design, certificate and secrets management, and DevSecOps tooling within a regulated estate.</p><p>7. <b>Automation scripting. </b>Strong Python, plus Bash and PowerShell. Groovy or Ruby welcome.</p><p>8. <b>Observability and SRE practice. </b>Ownership of reliability, availability and performance for production platforms, with the incident and postmortem history to evidence it.</p><p>9. <b>Architecture communication. </b>You can produce HLD/LLD, defend a design at an architecture review board, and write documentation people actually use.</p><ul><li>GenAI / RAG platform infrastructure &mdash; GPU-enabled Kubernetes, embedding and orchestration services, vector stores.</li><li>Istio, OpenShift and Databricks.</li><li>ServiceNow CMDB and change integration into automated pipelines.</li><li>IBM middleware estate experience (WebSphere, MQ, ACE) for legacy-to-cloud migration work.</li><li>Consulting or client-facing delivery background.</li></ul><p><b>Certifications &mdash; any combination welcome</b></p><ul><li>AWS Certified Solutions Architect &ndash; Professional or DevOps Engineer &ndash; Professional.</li><li>Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer.</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305) or Azure Administrator Associate (AZ-104).</li><li>HashiCorp Certified: Terraform Associate.</li><li>Certified Kubernetes Administrator (CKA) or Application Developer (CKAD).</li></ul><p><b>Architecture &amp; Design</b></p><ul><li>Translate business and value-stream requirements into HLD/LLD and architecture blueprints across GCP, Azure and AWS.</li><li>Define on-premises to cloud migration strategy &mdash; assessment, wave planning, target-state design, cutover and rollback.</li><li>Apply architecture patterns with intent: hub-and-spoke, microservices, event-driven, hybrid and multi-cloud.</li><li>Design cloud security and networking &mdash; IAM, VPC and VPC Service Controls, Workload Identity Federation, private connectivity, segmentation.</li><li>Engage stakeholders directly across architecture, security, network, risk, vendor and delivery teams.</li><li>Evaluate emerging technology (GenAI / LLM platforms, MLOps tooling) for enterprise adoption and produce the recommendation, not just the demo.</li></ul><p><b>Infrastructure as Code</b></p><ul><li>Build reusable, versioned Terraform modules with unit and integration tests (Chef InSpec or equivalent) &mdash; modules other teams can consume without hand-holding.</li><li>Terragrunt, Ansible, Chef / Chef Automate, ARM Templates, Azure Bicep and Packer.</li><li>GitOps workflows and Policy as Code &mdash; drift detection, guardrails and automated compliance evidence.</li></ul><p><b>DevOps Pipeline Engineering &mdash; the core of this role</b></p><ul><li>Design, build and modernise enterprise CI/CD estates: Jenkins (shared libraries), GitHub Actions, GitLab CI, Azure DevOps, Harness, UrbanCode Deploy, TeamCity, Bamboo and Rundeck.</li><li>Lead pipeline migrations end to end (for example ADO / UrbanCode Deploy to Harness) &mdash; target build and deploy architecture, agents and delegates, networking, certificates, environments and team onboarding.</li><li>Deliver GitOps with ArgoCD or Flux, release engineering discipline, and DevSecOps gates (SAST / SCA / DAST, OWASP ZAP) embedded in the pipeline rather than bolted on afterwards.</li><li>Establish Pipeline-as-Code frameworks that standardise delivery across many application teams and cut onboarding time.</li></ul><p><b>Containers &amp; Orchestration</b></p><ul><li>Kubernetes at production scale &mdash; GKE, AKS, EKS, on-premises and GPU-enabled clusters.</li><li>Docker, Helm, Kustomize, Ingress NGINX, Istio service mesh and OpenShift familiarity.</li><li>Harbor, Nexus, Artifactory, image scanning and software supply-chain integrity.</li></ul><p><b>Security &amp; Compliance</b></p><ul><li>HSM-backed key management (nCipher or equivalent) for TLS and code signing.</li><li>Certificate lifecycle automation &mdash; CSR to Venafi to Keyfactor to deployment, with expiry risk designed out.</li><li>Binary Authorization, Linux security baselines and secrets management (Secret Manager, Key Vault, HashiCorp Vault).</li><li>Deliver against banking-grade, GxP and telecom regulatory expectations with audit evidence that stands up to scrutiny.</li></ul><p><b>Observability &amp; SRE</b></p><ul><li>Dynatrace, Splunk, Prometheus, Grafana, ELK and OpenTelemetry.</li><li>SLI / SLO / error budgets, dashboards and alerting, runbooks, incident response and blameless postmortems.</li><li>High-availability and disaster recovery design, backup and restore automation, and tested recovery &mdash; not merely documented recovery.</li></ul><p><b>Data &amp; AI Platforms</b></p><ul><li>CloudSQL (MySQL, PostgreSQL, SQL Server), Cloud Spanner, BigQuery, PostgreSQL, MongoDB and Redis.</li><li>Vector databases (Milvus or equivalent), LLM / RAG platform infrastructure, and MLOps / LLMOps platform engineering.</li></ul><p>Pay: &pound;45,000.00-&pound;55,000.00 per year</p><p>Work Location: In person</p>

Multi Cloud Architect and DevOps Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As we expand our footprint across the GCC, we are seeking a talented Site Reliability Engineer (SRE) to join our technical squad and own the ultimate production readiness, resilience, and operational health of our cutting-edge AI solutions.</p><b>
The Opportunity</b><p>
If you thrive at the intersection of automated software engineering, high-scale cloud infrastructure, and next-generation AI evaluation, this role was built for you.</p><p>
As our Site Reliability Engineer, you will bridge application quality, MLOps, and cloud resilience. You will build the automated test suites that validate complex LLM and RAG model outputs, engineer chaos-resilient cloud environments, and establish bulletproof observability frameworks&mdash;ensuring our applications deliver lightning-fast, banking-grade performance under heavy enterprise traffic.</p><b>
What You&rsquo;ll Do</b><ul><li>
Implement load testing, fault-injection techniques, and self-healing automation to ensure web/mobile backends and AI microservices easily sustain banking-scale traffic.</li><li>
Build Python-driven, CI/CD-integrated regression test suites that validate application logic, data pipelines, and Infrastructure as Code (IaC) states.</li><li>
Define and track critical Service Level Indicators (SLIs) and Objectives (SLOs). Set up real-time telemetry, dashboards, and proactive alerting to catch performance degradation before users do.</li><li>
Integrate specialized AI evaluation harnesses (e.g., DeepEval, Ragas) into deployment pipelines to benchmark model accuracy, hallucinations, and retrieval performance (RAG).</li><li>
Automate security scans and privacy checks to satisfy strict banking data residency standards, while monitoring compute efficiency to eliminate redundant cloud spend.</li></ul><p><b><br>
Why Join DeepLight AI?</b></p><ul><li><b><br>
You'll be working on High-Impact Systems:</b> Helping to build and deploy real-world, secure AI applications for premier regional enterprise clients.</li><li><b>
A Culture of Excellence:</b> You'll Collaborate with a world-class team of architects, data engineers, and AI specialists who value craft, accountability, and practical problem-solving.</li><li><b>
Growth &amp; Impact:</b> You'll take clear ownership of high-visibility platforms, contribute directly to reusable firm IP, and shape how AI is securely deployed across the Middle East.</li></ul><p><i><br>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><br>
<br>
<b>What We&rsquo;re Looking For</b><ul><li>
High proficiency in Python (mandatory) and Bash scripting, alongside automation test frameworks like PyTest, Selenium, or Robot Framework.</li><li>
Strong hands-on experience with Azure or AWS, focusing on cloud networking, auto-scaling topologies, containerized environments, and serverless reliability.</li><li>
Modern Tooling Command:</li><li><ul><li>
CI/CD &amp; IaC: GitHub Actions, Azure DevOps, and Terraform (reading/validating state).</li><li>
Performance &amp; Load: K6 or JMeter.</li><li>
Observability: Azure Monitor, AWS CloudWatch, Grafana, or Prometheus.</li></ul></li><li>
Solid grasp of prompt engineering, RAG architectures, and model evaluation metrics (ROUGE/BLEU scores, LLM benchmarks, LangSmith/Ragas).</li><li>
Experience operating in financial services, banking, or highly regulated enterprise environments where zero downtime and data privacy are non-negotiable.</li></ul><br>
<b>
It would also be great if you have:</b><br>
<ul><li>
Experience managing production Kubernetes clusters (AKS/EKS), service meshes, and container security scanners.</li><li>
Familiarity with UAE Central Bank regulatory guidelines, NESA security compliance, and data residency mandates.</li><li>
Formal industry credentials such as AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate, Certified Kubernetes Administrator (CKA), or SRE certifications</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

Site Reliability Engineer

CME Group

<div><p>Job Title: Site Reliability Engineer (SRE) III &ndash; Platform Engineering &amp; Systems Reliability
</p><p></p><p>The Role: CME Group is seeking a Site Reliability Engineer (SRE) III to engineer reliability for our Google Cloud (GCP) infrastructure, Middleware Platform Engineering team, and core technology foundations powering our Clearing, Risk, and derivatives applications. In this role, you will help build resilient, automated systems that combine ultra-low latency with high-concurrency performance, enabling CME's product teams to innovate safely at scale. You will work alongside senior engineers, mentor junior colleagues, engage in the dynamic operation of production systems, and assist in driving our cloud transformation.
</p><p></p><p>What You Will Do / Key Responsibilities
</p><ul><li><p>Middleware &amp; Application Architecture: Architect, operate, and support the migration of application platforms&mdash;including Messaging (Kafka, RedPanda, MQ, Pub/Sub), Service Discovery (Consul, Vault), and Data Distribution (SFTP/JScape)&mdash;to Google Cloud Platform. Manage cluster lifecycles, data replication, RBAC, and workload placement.
</p></li><li><p>Observability &amp; Monitoring Fabric: Design, scale, and maintain our observability backbone using tools like OpenTelemetry, Splunk, Prometheus, and Grafana. Establish and continuously improve metrics, logs, alerting strategies, SLIs, and SLOs to enable fast issue detection.
</p></li><li><p>Incident Response &amp; Operations: Engage with urgency in live production incidents, take ownership of minor incidents, lead post-mortems, and ensure rapid system recovery.
</p></li><li><p>Toil Reduction &amp; Automation: Actively identify operational toil and eliminate manual effort through code, automation, and systematic platform improvements.
</p></li><li><p>Resiliency &amp; Testing: Contribute to disaster recovery (DR) strategies, continuous systems resiliency testing, and present reliability improvement suggestions to the Product backlog.
</p></li><li><p>Collaboration &amp; Leadership: Lead technical discussions for assigned scope, present solution options, collaborate across functional teams, and mentor junior SRE colleagues.
</p></li></ul><p></p><p>What We're Looking For
</p><ul><li><p>Engineering &amp; Scripting Discipline: Programming and scripting skills in high-level languages such as Python, Go, Java, or Bash to construct production-grade tooling.
</p></li><li><p>Cloud Native &amp; Systems Fundamentals: Proficiency with Linux-based systems, distributed systems, containerization (Kubernetes/GKE), and public cloud platforms (GCP/GCE).
</p></li><li><p>Infrastructure as Code (IaC): Understanding of modern CI/CD patterns and IaC tools such as Terraform, Ansible, or Kubernetes Config Connector (KCC).
</p></li><li><p>Networking &amp; Protocols: Knowledge of core systems and networking concepts (TCP/IP, UDP, HTTP, DNS, load balancing, and messaging protocols).
</p></li><li><p>AI &amp; Agentic Engineering: Forward-thinking approach to automation, leveraging Generative AI and Agents (e.g., Gemini) to optimize platform operations.
</p></li><li><p>Analytical Problem-Solving: Data-driven mindset to troubleshoot complex, non-linear system behaviors in a fast-paced, high-pressure trading ecosystem.
</p></li><li><p>Communication &amp; Adaptability: Strategic communication skills to translate technical requirements for cross-functional teams, coupled with an eagerness to learn independently and collaboratively.
</p></li></ul><p></p><p>Preferred Qualifications / Desirable
</p><ul><li><p>Observability Stack: Hands-on experience with telemetry tools such as OpenTelemetry, Splunk, Prometheus, and Grafana.
</p></li><li><p>Agile Integration: Comfort working within Agile frameworks and collaborative software development lifecycles.
</p></li><li><p>Certifications: GCP Professional Cloud Architect, Certified Kubernetes Administrator (CKA), or Certified Kubernetes Application Developer (CKAD).
</p></li><li><p>Domain Expertise: Any experience in Financial Markets or other highly regulated, ultra-low latency, high-concurrency environments would be highly beneficial although not essential,&quot;
</p></li></ul><p></p><p>Why CME Group?
</p><ul><li><p>Global Significance: Build technology that underpins the integrity of the world's leading derivatives marketplace.
</p></li><li><p>Engineering Culture: Flourish in a &quot;code-first&quot; environment that prioritizes systematic, automated solutions over manual intervention.
</p></li><li><p>Professional Evolution: Grow your SRE career within an organization actively transforming its approach to production engineering.
</p></li><li><p>Competitive Package: Enjoy a robust compensation and benefits structure while working with cutting-edge tech.
</p></li></ul><p></p><p><b>Company Benefits:
</b></p><ul><li><p>Bonus Programme
</p></li><li><p>Equity Programme
</p></li><li><p>Employee Stock Purchase Plan (ESPP)
</p></li><li><p>Private Medical and Dental coverage
</p></li><li><p>Mental Health Benefit Programme
</p></li><li><p>Group Pension Plan
</p></li><li><p>Income Protection
</p></li><li><p>Life Assurance
</p></li><li><p>Cycle To Work
</p></li><li><p>EV Car Benefit Scheme
</p></li><li><p>Gym Membership
</p></li><li><p>Family Leave
</p></li><li><p>Education Assistance &ndash; MBA/Advanced Degree/Bachelor Degree
</p></li><li><p>Ongoing Employee Development Training/Certification
</p></li><li><p>Hybrid Working
</p></li></ul><p></p><p>#LI-RK2
</p><p>#LI-Hybrid
</p><p>#nijobs.com
</p><p></p><p><b>CME Group: Where Futures are Made
</b></p><p></p><p>CME Group is the world&rsquo;s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it &ndash; all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we&rsquo;re looking for more.
</p><p></p><p>At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone&rsquo;s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.
</p><p></p><p><b>Important Notice: </b>Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process.</p></div>

Site Reliability Engineer III

KAUST (King Abdullah University of Science and Technology)

<div>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  We are seeking a highly motivated and skilled Senior HPC Systems Administrator to join the KAUST Supercomputing Laboratory (KSL). The successful candidate will be responsible for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, InfiniBand and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Major Responsibilities &ndash; include but are not limited to -
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Provide timely and effective user support via telephone, walk-in, email, and ticketing system for all inquiry types while maintain high customer service standards.
  </li>
  <li>
   Install, configure, and manage HPC subsystems including compute nodes, high-performance storage systems, InfiniBand, Ethernet, and configuration management tools (e.g., Ansible, Puppet).
  </li>
  <li>
   Deploy and manage cluster management software, monitoring tools, and supporting services for operating HPC clusters.
  </li>
  <li>
   Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C++).
  </li>
  <li>
   Develop and maintain automation scripts in Bash and Python to streamline system administration tasks.
  </li>
  <li>
   Deploy and manage container environments (Singularity/Apptainer, Docker) for HPC workloads.
  </li>
  <li>
   Benchmark HPC system components like CPU, memory, InfiniBand, and storage periodically to ensure optimal performance and identify tuning opportunities across hardware, driver, and application layers.
  </li>
  <li>
   Enforce security best practices including node hardening, kernel patching, and compliance across all systems.
  </li>
  <li>
   Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity planning.
  </li>
  <li>
   Directly support research activities in computational science, engineering, data analysis, and AI/ML by working closely with faculty, researchers, collaboration partners, and industrial partners in collaboration with application support teams.
  </li>
  <li>
   Develop software tools and utilities as needed to support research projects on cluster systems and subsystems.
  </li>
  <li>
   Drive proof-of-concept projects and technology evaluations end-to-end and research industry best practices and advocate system enhancements.
  </li>
  <li>
   Coordinate with vendors and third-party service providers to report and resolve issues in a timely manner.
  </li>
  <li>
   Develop and maintain user documentation, standard operating procedures, and training materials in the internal wiki.
  </li>
  <li>
   Stay at the forefront of HPC advancements through continuous learning, industry conferences, and professional collaboration, while driving benchmarking initiatives to inform future hardware procurement.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Expertise in supporting users of computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments.
  </li>
  <li>
   Strong expertise in Linux system administration (RHEL, Rocky Linux, or CentOS) in large-scale HPC environments.
  </li>
  <li>
   Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, OpenMP, CUDA, OpenACC).
  </li>
  <li>
   Demonstrated track record of managing complex HPC systems, including parallel file systems, job schedulers, InfiniBand/Ethernet networks, and monitoring systems.
  </li>
  <li>
   Experience with configuration management tools (Ansible, Puppet, or equivalent).
  </li>
  <li>
   Familiarity with computational science, data analysis, and AI/ML applications and libraries used in HPC environments.
  </li>
  <li>
   Knowledge of project management principles and practices.
  </li>
  <li>
   Demonstrated ability to support research activities in a highly collaborative HPC environment.
  </li>
  <li>
   Strong analytical, problem-solving, and decision-making skills.
  </li>
  <li>
   Proactively identifies and implements system improvements; takes initiative and sees tasks through to closure.
  </li>
  <li>
   Ability to manage multiple concurrent projects and deliver high-quality results within deadlines.
  </li>
  <li>
   Proven ability to collaborate cross-functionally with researchers, application teams, and vendors.
  </li>
  <li>
   Effective in multi-cultural, international work environments.
  </li>
  <li>
   Excellent verbal and written communication skills in English, including the ability to prepare and deliver technical reports and presentations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education requirement, minimum:
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or master&rsquo;s degree in computer science/engineering, Information Systems, or equivalent
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <p>
  <strong>
   Experience requirement, minimum:
  </strong>
 </p>
 <ul>
  <li>
   Five years of experience supporting large scale computing platforms and related subsystems.
  </li>
  <li>
   Experience troubleshooting complex hardware issues and documenting root cause analysis.
  </li>
  <li>
   Experience managing parallel storage systems (Lustre, GPFS, Weka, Vast, or similar).
  </li>
  <li>
   Experience benchmarking HPC system components (CPU, memory, InfiniBand, storage).
  </li>
  <li>
   Experience administering workload managers/schedulers (Slurm, LSF, or PBS).
  </li>
  <li>
   Strong Linux system administration experience (RHEL, Rocky Linux, or CentOS).
  </li>
  <li>
   Experience with configuration management tools such as Ansible or Puppet.
  </li>
  <li>
   Ability to coordinate with researchers, application support teams, and vendors to resolve complex issues and drive them to closure.
  </li>
  <li>
   Proven ability to collaborate cross-functionally and drive initiatives to completion.
  </li>
  <li>
   Familiarity with Kubernetes and container orchestration platforms would be desirable
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


HPC Senior Systems Administrator

DICETEK LLC

<div><p><b>Role Overview</b></p><p>
The DevOps Engineer owns the AWA platform's deployment, infrastructure-as-code, CI/CD, and operational reliability. You ensure that every AWA component &mdash; from AKS namespaces and KEDA autoscalers to ADLS Gen2 lifecycle policies and Azure Firewall allowlists &mdash; is deployed consistently, tested automatically, and operated reliably within THE BANK's Azure UAE environment. You are the guardian of the AWA infrastructure: nothing is deployed manually; everything is reproducible from code.</p><p><b>
Key Responsibilities</b></p><ul><li><b>Infrastructure as code: </b>Own and maintain all AWA Azure infrastructure in Terraform/Bicep: AKS 5-namespace cluster, ADLS Gen2 accounts with WORM policies, Azure AI Foundry APIM configurations, Azure Firewall allowlists, private endpoints, Key Vault, Container Registry, ExpressRoute peering.</li><li><b>CI/CD pipeline ownership: </b>Design and maintain Azure DevOps pipelines for all AWA components: container image build ACR push Notary v2 signing AKS deployment; Terraform plan policy check apply; Agent Regression Testing gate on every PR.</li><li><b>AKS operations: </b>Manage the 5-namespace AKS cluster &mdash; namespace isolation, Network Policies, Pod Disruption Budgets, KEDA autoscaling rules based on Kafka consumer lag, OPA Gatekeeper admission policies, Workload Identity bindings for all agent pods.</li><li><b>Container governance: </b>Manage ACR, enforce Notary v2 image signing, configure vulnerability scanning, maintain the approved-image ConfigMap used by OPA Gatekeeper admission control.</li><li><b>Secret and certificate management: </b>Own Azure Key Vault configuration &mdash; access policies per managed identity, automatic TLS certificate rotation, secret rotation schedules, audit of all secret access events.</li><li><b>Monitoring and alerting: </b>Configure Azure Monitor alert rules and Log Analytics KQL queries for SLA breach, error rate spike, pod crash loop, token budget breach, and Kafka consumer lag; maintain PagerDuty escalation paths.</li><li><b>Security posture: </b>Work with the AI Security Engineer to implement Azure Policy assignments, Defender for Cloud recommendations, Firewall rule reviews, and Private Endpoint configurations; maintain the AWA network topology diagram.</li><li><b>Disaster recovery: </b>Maintain and test DR procedures: failover to UAE South replica for ADLS Gen2, Azure AI Foundry PTU PAYG DR endpoint routing, Orkes cluster recovery, RTO/RPO validation.</li></ul><p></p><p><b><br>
Required Skills and Experience</b></p><h3 class="jobSectionHeader"><b>
Technical &mdash; Essential</b></h3><ul><li>5+ years DevOps/Platform Engineering; 2+ years on Azure</li><li>Terraform or Bicep &mdash; production IaC, not just templates</li><li>Kubernetes / AKS: namespaces, RBAC, Network Policies, Helm charts, Kustomize</li><li>Azure DevOps or GitHub Actions &mdash; multi-stage pipelines, approvals, environments</li><li>Azure Monitor, Log Analytics, KQL query language</li><li>Container ecosystem: Docker, ACR, image signing, admission control</li><li>Azure networking: VNet, private endpoints, NSGs, Azure Firewall, ExpressRoute concepts</li><li>KEDA (Kubernetes Event-Driven Autoscaling) or equivalent autoscaling experience</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Technical &mdash; Advantageous</b></h3><ul><li>Azure Key Vault, managed identity, Workload Identity for Kubernetes</li><li>OPA Gatekeeper or Kyverno for Kubernetes policy enforcement</li><li>Kafka / Azure Event Hubs &mdash; consumer group management, lag monitoring</li><li>ADLS Gen2, WORM immutable storage, lifecycle management policies</li><li>Azure AI Foundry / APIM &mdash; token quotas, rate limiting, backend routing configuration</li><li>Security tooling: Defender for Cloud, Sentinel, Notary v2</li></ul><p><b>
Skills:</b> Terraform , Kubernetes , Azure DevOps</p></div>

DevOps Engineers (AIOps) - API and Kubernetes

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