cloud platform engineer

Network Designs

<div>About NDi:
Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply.
Job Description:
We are seeking a Cloud/Platform Engineer to support enterprise cloud and platform initiatives for the VA under T4NG2. This role focuses on building and operating secure, scalable platform services in AWS GovCloud to support cloud-native application delivery within the VA Benefits Integration Platform (BIP) / Platform One ecosystem. 
This position is essential to enabling the VA's transition to modern, cloud-based architectures and improving system reliability, performance, and scalability.
Requirements:<ul><li>
U.S. Citizenship is required</li><li>
Must be able to obtain a Public Trust clearance.</li><li>
This position is primarily remote; however, must be able to come on-site in Washington, DC, as required.</li></ul>
Qualifications and Experience:<ul><li>
Bachelor degree in Computer Science or related</li><li>
Minimum of five (5) years of relevant experience</li><li>
Certifications, such as AWS Solutions Architect, Azure Architect, CKA) are preferred</li><li>
Experience designing and operating AWS cloud environments (GovCloud preferred) 
</li><li>
Strong hands-on experience with Kubernetes (EKS or OpenShift) and container platforms 
</li><li>
Proficiency in Infrastructure as Code (Terraform strongly preferred) 
</li><li>
Experience with GitOps workflows (ArgoCD) and CI/CD tools (GitHub Actions) 
</li><li>
Experience building or supporting platform services for multiple development teams 
</li><li>
Knowledge of cloud networking, IAM, storage, and compute services 
</li><li>
Experience with observability and monitoring tools (Datadog, Splunk, Prometheus, CloudWatch) 
</li><li>
Familiarity with secrets management solutions (Vault, AWS Secrets Manager) 
</li><li>
Understanding of high-availability, scalability, and distributed systems design</li></ul>
Preferred Qualifications:<ul><li>
Experience supporting VA Platform One / BIP or similar federal DevSecOps platforms 
</li><li>
Experience implementing GitOps and declarative infrastructure patterns 
</li><li>
Knowledge of Zero Trust Architecture (ZTA) in federal environments 
</li><li>
Experience with service mesh technologies (Istio, Linkerd) (nice-to-have) 
</li><li>
Familiarity with container hardening standards (DoD STIGs, CIS benchmarks) 
</li><li>
Experience with federal cloud environments (GovCloud, Azure Government) 
</li><li>
Knowledge of Platform One or enterprise platform services 
</li><li>
Experience with hybrid cloud and multi-cloud strategies</li></ul>
Responsibilities
Cloud ArchitecturePlatform Engineering:<ul><li>
Design and implement secure, scalable cloud architectures in AWS GovCloud (preferred) and hybrid environments</li><li>
Build and maintain Kubernetes-based platform services (EKS/OpenShift) to support multi-team workloads</li><li>
Develop and manage shared platform services (networking, ingress, service mesh, CI/CD integration points)</li><li>
Establish golden paths and reusable platform patterns to accelerate developer onboarding and delivery</li></ul>
Infrastructure as CodeAutomation:<ul><li>
Automate infrastructure provisioning using Terraform (preferred) and other IaC tools 
</li><li>
Implement immutable infrastructure and environment standardization practices 
</li><li>
Integrate infrastructure workflows with GitHub Actions and GitOps (ArgoCD)</li></ul>
ContainerApplication Platform:<ul><li>
Deploy and manage containerized workloads using Docker, Kubernetes, and Helm</li><li>
Develop and maintain Helm charts and Kubernetes manifests for standardized deployments</li><li>
Support multi-environment (dev/test/prod) Kubernetes strategies and cluster lifecycle management</li></ul>
Observability, ReliabilityPerformance:<ul><li>
Implement and maintain enterprise observability solutions (Datadog, Splunk, Prometheus, CloudWatch)</li><li>
Define and monitor SLIs/SLOs to ensure system reliability and performance</li><li>
Support high availability, scalability, and disaster recovery strategies</li></ul>
SecurityCompliance Alignment:<ul><li>
Ensure platform services align with VA security policies, Zero Trust principles, and ATO requirements 
</li><li>
Integrate identity, access, and secrets management (e.g., IAM, Vault, AWS Secrets Manager) 
</li><li>
Support continuous compliance and audit readiness in FedRAMP/FISMA High environments</li></ul>
MigrationCollaboration:<ul><li>
Support migration of legacy applications to containerized, cloud-native architectures 
</li><li>
Collaborate with DevSecOps, security, and development teams to enable secure application delivery 
</li><li>
Participate in Agile ceremonies and contribute to continuous platform improvement</li></ul>
Why This Role Matters:
Cloud/Platform Engineers enable the VA's digital transformation by providing the infrastructure foundation for scalable, resilient, and modern IT services supporting millions of Veterans.
Compensation and Benefits:
At NDi, we value our team and are committed to retaining top talent by offering competitive benefits and compensation packages. Our employee benefits package includes comprehensive health, dental, vision, pet, and legal insurance. Our corporate benefits include 401(k) retirement matching, paid leave, paid holidays, and health and wellness programs. In addition, we provide employer-paid life and disability insurance, professional development, education benefits, and much more to ensure our team has the resources they need to thrive on and off the job.
Veterans First Commitment:
As a Service-Disabled Veteran-Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing the unique skills and experiences they bring to our organization.
Commitment to Diversity:
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.
Apply Now: Take advantage of this unique opportunity to join one of the fastest-growing companies in Federal contracting!</div>

Cloud/Platform Engineer

MANSOFT QATAR

Cloud Engineer &mdash; Doha BranchAbout the roleWe are seeking a skilled Cloud Engineer based in Doha to design, deploy, and operate scalable, secure cloud infrastructure and platforms that support business applications and services across the organisation.Key responsibilities<ul><li>Cloud architecture &amp; deployment: Design, implement and optimise cloud architectures (IaaS/PaaS) using best practices for scalability, resilience and cost-efficiency.</li><li>Infrastructure as Code: Develop and maintain IaC templates and pipelines (Terraform, CloudFormation, ARM) to provision and manage cloud resources.</li><li>Platform operations: Deploy, monitor and maintain cloud environments (compute, networking, storage, identity) across public (AWS, Azure, GCP) and hybrid landscapes.</li><li>CI/CD &amp; automation: Build and support CI/CD pipelines, automated build/deploy workflows, configuration management (Ansible, Chef, Puppet) and release automation.</li><li>Security &amp; compliance: Implement cloud security controls (IAM, network segmentation, encryption, secrets management), enforce least-privilege access and support compliance with local regulations.</li><li>Performance &amp; cost optimisation: Monitor resource usage, tune performance, and implement cost-management practices including rightsizing and reserved-instance strategies.</li><li>Monitoring &amp; incident response: Implement observability (Prometheus, Grafana, CloudWatch, Stackdriver), runbooks and participate in on-call rotation to respond to incidents and perform root-cause analysis.</li><li>Backup &amp; DR: Design and test backup, snapshot and disaster-recovery strategies to meet RTO/RPO requirements.</li><li>Containerisation &amp; orchestration: Deploy and operate container platforms (Docker, Kubernetes/EKS/AKS/GKE) and support microservices architectures.</li><li>Collaboration &amp; support: Work with development, security, network and operations teams to onboard applications, define SLAs and resolve infrastructure-related issues.</li><li>Documentation &amp; standards: Maintain architecture diagrams, runbooks, operation</li><li>Continuous improvement: Evaluate new cloud services and tooling to improve platform reliability, security and developer productivity.</li></ul>Qualifications &amp; experience<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering or related field (or equivalent experience).</li><li>3+ years&rsquo; hands-on experience in cloud engineering, platform or systems engineering; experience with AWS, Azure or GCP in production environments.</li><li>Proven experience with IaC tools (Terraform, CloudFormation), container orchestration (Kubernetes) and CI/CD tooling (Jenkins, GitLab CI, GitHub Actions).</li><li>Strong Linux/Windows administration, networking (VPC, subnets, routing), and scripting skills (Python, Bash, PowerShell).</li><li>Practical knowledge of cloud security, IAM, secrets management and compliance frameworks.</li><li>Experience with monitoring/observability stacks and log management (ELK, Prometheus/Grafana, Cloud-native tools).</li><li>Familiarity with database-as-a-service, caching, and messaging services in cloud environments.</li><li>Relevant cloud certifications (AWS Certified Solutions Architect/DevOps Engineer, Azure Administrator/Architect, Google Cloud Professional) are advantageous.</li><li>Excellent problem‑solving, communication and stakeholder‑management skills.</li><li>Valid work authorisation for Qatar.</li></ul>Job Type: Full-timePay: QAR35.00 - QAR55.00 per hourWork Location: In person

Cloud Engineer

LanceSoft Middle East

<div>
 
 
 Position: Cloud &amp; Virtualization Engineer
 
 
 
 
 Duration: 2 yr ext.
 
 
 
 
 Job Location: Dubai(Onsite)
 
 
 
 
 Job Summary
 
 
 <ul>
 <li>
 The Azure &amp; OpenShift Cloud Engineer will be responsible for the design, deployment, administration, and optimization of DHA&rsquo;s Microsoft Azure cloud services and OpenShift container platform. The role ensures availability, scalability, security, compliance, and operational excellence of the cloud and container ecosystem while following ITIL-aligned managed services processes.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years&rsquo; experience in enterprise cloud / infrastructure engineering.
 </li>
 </ul>
 
 
 Strong hands-on expertise in:
 
 
 <ul>
 <li>
 Microsoft Azure administration
 </li>
 <li>
 OpenShift platform operations
 </li>
 </ul>
 
 
 Strong understanding of:
 
 
 <ul>
 <li>
 Azure networking, identity, governance, backup/DR
 </li>
 <li>
 container orchestration and platform operations
 </li>
 </ul>
 
 
 Experience with automation and scripting:
 
 
 <ul>
 <li>
 PowerShell, Bash, Python, Terraform
 </li>
 </ul>
 
 
 Monitoring and troubleshooting skills using:
 
 
 <ul>
 <li>
 Azure Monitor / Log Analytics
 </li>
 <li>
 Prometheus / Grafana
 </li>
 <li>
 Strong analytical troubleshooting and RCA skills.
 </li>
 <li>
 Experience working in managed services / SLA-based operations.
 </li>
 <li>
 Good communication and documentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Azure: AZ-104, AZ-305.
 </li>
 <li>
 AWS: AWS Certified Solutions Architect &ndash; Associate / Professional
 </li>
 <li>
 OpenShift / Containers: Red Hat OpenShift Administration, CKA.
 </li>
 <li>
 VMware: VCP-DCV, VCAP-DCV (Optional)
 </li>
 <li>
 ITIL: ITIL 4 Foundation
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 Equivalent practical experience may be considered.
 </li>
 </ul>
</div>

Cloud & Virtualization Engineer

MAYEED ENGINEERING & MECHANICAL SERVICES

MAYEED ENGINEERING &amp; MECHANICAL SERVICES (Doha) is a Qatar-based engineering and mechanical services company delivering fabrication, installation, maintenance, and repair solutions for industrial and infrastructure projects. The firm provides mechanical piping, HVAC, steel fabrication, equipment overhaul, and planned shutdown support&mdash;prioritising HSE compliance, timely project execution, and technical reliability for oil &amp; gas, construction, and industrial clients.OverviewDesign, deploy, and maintain cloud infrastructure and platform services to support applications and operations in a hybrid/multi-cloud environment (AWS/Azure/GCP). Ensure reliability, security, cost-efficiency, and automation.Key responsibilities<ul><li>Cloud architecture &amp; deployment</li><li>Design and implement scalable, highly available cloud solutions; manage IaC using Terraform/CloudFormation/Bicep.</li><li>Infrastructure automation</li><li>Build CI/CD pipelines, automate provisioning/configuration (Ansible, Packer), and integrate with GitOps workflows.</li><li>Platform &amp; operations</li><li>Manage Kubernetes clusters (EKS/AKS/GKE), virtual networks, load balancers, storage, and backup/DR solutions.</li><li>Security &amp; compliance</li><li>Implement cloud security best practices (IAM, network segmentation, encryption, secrets management), support audits and compliance (SOC2, ISO) requirements.</li><li>Monitoring &amp; performance</li><li>Implement observability (Prometheus, Grafana, CloudWatch), set SLOs/SLIs, troubleshoot incidents, and perform capacity planning.</li><li>Cost management</li><li>Optimize cloud spend, recommend rightsizing and cost controls, and produce monthly usage reports.</li><li>Collaboration &amp; support</li><li>Work with dev, QA, security, and ops teams to onboard services, define runbooks, and support incident response and postmortems.</li><li>Documentation &amp; best practices</li><li>Maintain architecture diagrams, runbooks, deployment guides, and enforce tagging and governance standards.</li></ul>Qualifications<ul><li>Education: Bachelor&rsquo;s in Computer Science, Engineering, or related field (or equivalent experience).</li><li>Experience: 3+ years cloud engineering experience; experience with at least one major cloud provider (AWS/Azure/GCP).</li><li>Technical skills: IaC (Terraform/CloudFormation), container orchestration (Kubernetes), CI/CD (Jenkins/GitHub Actions/GitLab), Linux, networking, scripting (Python/Bash), and monitoring tools.</li><li>Certifications (preferred): AWS Certified Solutions Architect, Azure Administrator/DevOps, or GCP Professional Cloud Engineer.</li><li>Soft skills: Strong problem-solving, communication, and ability to work in cross-functional teams.</li></ul>Success metrics<ul><li>Uptime/availability: meet agreed SLAs (e.g., 99.9%+).</li><li>Mean Time to Recovery (MTTR): reduce incidents and MTTR over time.</li><li>Deployment frequency &amp; lead time: improve CI/CD throughput.</li><li>Cost savings: measurable cloud spend optimization annually.</li><li>Security compliance: 100% remediation of critical findings.</li></ul>الراتب المدفوع: QAR٥٥٫٥٠&nbsp;لكل ساعةموقع العمل: على الطريق

Deeplight

<div>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.
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.
The Senior Azure Platform Engineer role is a strategic &quot;Greenfield&quot; leadership position focused on architecting the foundational Azure ecosystem for a major FinTech enterprise. You will be responsible for designing and deploying a secure, automated, and AI-ready cloud infrastructure from the ground up, balancing cutting-edge Azure OpenAI integration with rigorous FinOps and Terraform standardization. Ultimately, you are building the scalable, high-performance &quot;engine room&quot; that will power the next generation of digital financial services. 
Your responsibilities as the Senior Azure Platform Engineer include:<ul><li>
Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li>
Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li>
Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>
Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li>
Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>
Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul> 
As an AI consultancy, our greatest asset is the expertise of our people.
 
 
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.
 
 
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.
 
 
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.
 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
What you need to have: 
<ul><li>
5+ years experience with Azure Cloud Platform.</li><li>
Expert-level Terraform skills.</li><li>
Familiarity with Azure AI Foundry and OpenAI Service.</li><li>
Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li>
Hands-on experience with Azure APIM or Kong.</li><li>
Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<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> 
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. 
 
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

Senior Azure Platform Engineer

<div>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.
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.
The Senior AWS Platform Engineer is a strategic &quot;Greenfield&quot; leadership position focused on architecting a foundational AWS ecosystem from the ground up for a major FinTech enterprise. You will design and scale a secure, automated, and AI-ready cloud infrastructure, balancing the integration of AWS Bedrock and SageMaker with rigorous FinOps and Terraform standardization. Ultimately, you are building the scalable, high-performance &quot;engine room&quot; that will power the next generation of digital financial services.
Your responsibilities as the Senior AWS Platform Engineer include:<ul><li>
Architect and deploy production-ready AWS environments from scratch using a landing zone approach.</li><li>
Deploy, scale, and manage AWS AI/ML services (Bedrock, SageMaker, Rekognition, Textract, Lookout) to support AI-driven application development.</li><li>
Standardize all deployments using Terraform to ensure consistency and modularity.</li><li>
Manage API lifecycles using AWS API Gateway and Kong, ensuring secure and performant communication between services.</li><li>
Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li>
Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people.
 
 
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.
 
 
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.
 
 
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.
 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
We need you to have:<ul><li>
5+ years experience in the AWS ecosystem.</li><li>
Expert-level Terraform skills.</li><li>
Experience with CI/CD (GitHub Actions) and IaC (Terraform)</li><li>
Direct experience with AWS Bedrock and SageMaker.</li><li>
Expert knowledge of VPC design, Subnetting, Route 53, and Direct Connect.</li><li>
Hands-on experience with AWS API Gateway or Kong.</li><li>
A proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.</li><li>
A strong foundational understanding of Cloud Architecture.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<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> 
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. 
 
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.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
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.</div>

Senior AWS Platform Engineer

Wizdaa

<div>THE ROLE
We're looking for a Senior Platform Engineer / SRE who can lead complex infrastructure work, drive IaC
and GitOps architecture, and set the standard for how we automate and operate systems at scale. You'll
tackle hard problems &mdash; multi-tenant isolation, self-service infrastructure, reliability engineering &mdash; and
have the scope to solve them properly.
This is not a ticket-processing role. Seniors here identify problems before they're asked, make
architectural calls, mentor engineers, and raise the ceiling on what the platform can do.
WHAT YOU'LL WORK ON<ul><li>Lead IaC architecture &mdash; Terraform module design, state management, multi-account patterns, and</li></ul>
setting the standards the rest of the team builds against<ul><li>Drive GitOps at scale &mdash; ArgoCD configuration, progressive delivery patterns, promotion</li></ul>
workflows, and deployment reliability across multiple environments and tenants<ul><li>Architect and operate multi-tenant Kubernetes infrastructure on AWS EKS &mdash; tenant isolation,</li></ul>
workload placement, cluster topology, and long-term scalability strategy<ul><li>Build self-service infrastructure automation &mdash; provisioning pipelines, configuration management,</li></ul>
and platform capabilities that engineering teams can consume without manual intervention<ul><li>Lead the use of agentic coding tools for infrastructure work &mdash; scaffolding new environments,</li></ul>
generating and reviewing IaC, accelerating automation, and establishing patterns for the team<ul><li>Own reliability &mdash; SLO definitions, error budgets, incident response quality, and the feedback loop</li></ul>
that turns incidents into platform improvements<ul><li>Set observability standards &mdash; trace coverage, alert quality, on-call ergonomics, and runbook</li></ul>
culture<ul><li>Partner with security on zero-trust architecture, secrets management at scale, and infrastructure</li></ul>
hardening<ul><li>Contribute to technical roadmap and help the team prioritize the right work</li><li>Mentor mid-level engineers &mdash; code review, design feedback, on-call shadowing</li></ul>
WHAT WE'RE LOOKING FOR<ul><li>6+ years in platform engineering, SRE, or infrastructure &mdash; with meaningful time operating</li></ul>
production systems at scale<ul><li>Deep IaC expertise &mdash; you design Terraform architectures, not just write modules; you've managed</li></ul>
complex state and multi-account configurations in production<ul><li>Strong GitOps background &mdash; you understand declarative infrastructure management at depth and</li></ul>
have opinions on how to do it well<ul><li>Deep Kubernetes knowledge &mdash; you've operated clusters in production, dealt with real failure</li></ul>
modes, and understand the system at the control plane level<ul><li>Strong AWS background &mdash; networking, compute, IAM, storage, multi-account design</li><li>Experience with multi-tenant infrastructure &mdash; isolation patterns, noisy neighbor mitigation, and</li></ul>
tenant lifecycle management<ul><li>Automation-first thinking at a senior level &mdash; you design systems that eliminate entire categories of</li></ul>
manual work, not just individual tasks<ul><li>Active user of agentic coding tools &mdash; you know how to direct them effectively, review their output</li></ul>
critically, and use them to multiply your output<ul><li>Reliability engineering track record &mdash; SLOs defined and measured, post-mortems run,</li></ul>
measurable improvements driven<ul><li>Strong communicator &mdash; you can make architectural decisions legible to engineers and leadership</li></ul>
alike
NICE TO HAVE<ul><li>Experience with Karpenter and node lifecycle management in production</li><li>Background in FinOps &mdash; cost attribution, reserved capacity planning, workload right-sizing</li><li>Familiarity with data infrastructure &mdash; object storage, CDC pipelines, or lakehouse patterns</li><li>Experience supporting AI/ML inference workloads or GPU-based compute in production</li><li>Prior experience scaling platform infrastructure at a startup moving toward enterprise-grade</li></ul>
requirements
WHAT YOU WON'T FIND HERE
A platform team that maintains the status quo. We're actively building &mdash; new scale requirements, new
architectural domains, new automation capabilities. Senior engineers here shape how the platform
evolves, and the tools available to do it are better than they've ever been
Type: Full-Time, remote
Work time is in PST timezone</div>

Senior Platform Engineer / SRE PK

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