senior devops engineer

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
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 Write scripts and automation using Python/Java/Bash
 </li>
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 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
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 Understand how various systems work
 </li>
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 Understand how IT operations are managed
 </li>
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 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Logic, Inc.

<div><div>Advanced App/Cloud Support &amp; Engineering Team Lead/Consultant | Mid-Level | Full time
</div><div>Job No. 14612412 | New York City, NY</div></div>
 <div><div>Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Key Responsibilities:<ul><li>
Leads the design and implementation of enterprise DevOps and cloud engineering strategies to enable secure, scalable, and automated software delivery.</li><li>
Partners with architecture, development, security, and operations teams to define DevOps standards, build CI/CD frameworks, and drive infrastructure automation.</li><li>
Provides technical leadership, mentors DevOps engineers, coaches delivery teams on best practices, and coordinates cross-functional efforts to improve reliability, security, and operational excellence.</li><li>
Drives continuous improvement, governance, and adoption of DevSecOps, Infrastructure as Code (IaC), cloud-native architectures, and platform engineering practices.</li></ul></div></div>
 <div>Basic Qualifications:
<ul><li>
DevOps Architecture - 2+ years</li><li>
DevOps Coaching - 1+ year</li><li>
Configuration Release Management - 3+ years</li><li>
High School Diploma or GED</li></ul>

Preferred Qualifications:
<ul><li>
Associate or bachelor's Degree</li></ul>

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/07/2026.

<div>Accenture Flex offers a market competitive suite of benefits including medical, dental, vision, and long-term disability coverage, a 401(k) plan, and paid time off. See more information on our benefits here:
Accenture Flex Jobs
</div>
Role Location

California &ndash; $58.00 - $68.00/hour

Cleveland &ndash; $58.00 - $68.00/hour

Colorado &ndash; $58.00 - $68.00/hour

District of Columbia &ndash; $58.00 - $68.00/hour

Illinois - $58.00 - $68.00/hour

Maine - $58.00 - $68.00/hour

Maryland &ndash; $58.00 - $68.00/hour

Massachusetts &ndash; $58.00 - $68.00/hour

Minnesota - $58.00 - $68.00/hour

New Jersey/New York &ndash; $58.00 - $68.00/hour

Virginia - $58.00 - $68.00/hour

Washington &ndash; $58.00 - $68.00/hour</div>
 <div>New York City, NY</div>
 <div>Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 


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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. 


Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women. 


Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 
 
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.

Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>
 <div>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.</div>

Senior DevOps Engineer - 6426315

Valeo

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

Senior DevOps Engineer, AI4ALL

Integrant

<div>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. 
This role carries both SysOps, HPC depth and DevOps. You are expected to spend at least 60% of your time on implementation and technical execution
What You Will Do
Presales &amp; Business Development<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> 
In-Account Delivery &mdash; SysOps &amp; DevOps Execution<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> 
Architecture &amp; Solution Design<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>
Technical Competencies &amp; Requirements
1. Architecture &amp; System Design<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> 
2. Platform Engineering &amp; GitOps Strategy<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> 
3. AI / GPU Infrastructure Architecture (Priority Competency)<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> 
4. Observability &amp; Reliability Engineering<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> 
5. Security &amp; Multi-Tenancy Architecture<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> 
6. HPC, Data &amp; Storage Architecture (Priority Competency)<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> 
7. Operational Leadership &amp; Linux Systems<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> 
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> 
Requirements 
Required<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> 
Strongly Preferred<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> 
Certifications (Advantageous)<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> 
Benefits 
<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

Occam Solutions

<div>Primary Responsibility 
The DevSecOps Engineer shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment. 
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services. 
Duties and Responsibilities

The DevSecOps Engineer shall:
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul> 


Minimum Qualifications

The DevSecOps Engineer shall meet the requirements for the &quot;DevSecOps Engineer &ndash; Intermediate&quot; labor category as defined in the CHESS ITES-3S contract vehicle and possess the following additional qualifications:
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within AWS GovCloud, Azure Government, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under FedRAMP High, DoD Impact Level 5 (IL5), or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li> 
</ul>
Qualifications
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

McAfee

<div>Role Overview: The Senior DevOps Engineer is responsible for building and operating production-scale platform engineering capabilities on Kubernetes (Amazon EKS/GKE), with a strong focus on reliability, scalability, and developer productivity. 
This is a highly hands-on role focused on implementing and enhancing cloud-native platforms, CI/CD systems, developer platforms (Backstage), and secure software delivery practices. The role works closely with platform, SRE, and engineering teams to improve system reliability and engineering efficiency. 
The ideal candidate has strong expertise in cloud-native technologies, enterprise CI/CD, and large-scale production environments. 
This is a Hybrid Position located in Frisco, TX. We are only considering candidates within a commutable distance to the Frisco office. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office. Position Details:

About the Role:<ul><li>
Design, implement, and operate large-scale Kubernetes platforms (EKS/GKE), including multi-region deployments for high availability and scalability.</li><li>
Manage Kubernetes cluster lifecycle including provisioning, upgrades, patching, scaling, &amp; BCP/DR.</li><li>
Build and enhance CI/CD pipelines using GitHub Actions, and Harness to improve deployment efficiency and reliability.</li><li>
Design, build, and operate EKS clusters with technologies such as Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.</li><li>
Contributes to the implementation and adoption of Backstage as a developer platform, including templates, scaffolding workflows, and service catalog.</li><li>
Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.</li><li>
Implement AI-driven capabilities such as deployment risk analysis, anomaly detection, and pipeline insights (where applicable).</li><li>
Develop strategies for upgrades and patching with minimal downtime and operational risk.</li><li>
Support platform security posture by implementing DevSecOps practices and secure software supply chain controls.</li><li>
Define and contribute to platform observability, including metrics, logs, traces, and operational dashboards.</li><li>
Define SLIs/SLOs and platform health metrics.</li><li>
Participate in incident response, root cause analysis, and reliability improvement initiatives.</li><li>
Collaborate with cross-functional teams to improve developer experience, platform adoption, and operational efficiency.</li></ul>
About You:<ul><li>
5+ years in DevOps / Platform Engineering with strong hands-on experience in Kubernetes (EKS/GKE) at production scale.</li><li>
Proficient in Terraform and CI/CD pipelines (GitHub Actions, Jenkins, Harness) with focus on automation, reliability, and scalability.</li><li>
Strong programming skills in Golang or Python and solid understanding of Kubernetes networking, RBAC, and autoscaling.</li><li>
Hands-on experience with Backstage developer platform, including software templates, scaffolding workflows, and service catalog.</li><li>
Ability to build and contribute to golden paths and reusable developer workflows to improve engineering productivity and adoption.</li><li>
Experience working across multi-cloud environments (AWS + GCP) and understanding cross-cloud deployment patterns.</li><li>
Experience with service mesh (Istio / Envoy), Cilium, and API gateways (Envoy Gateway, Kong).</li><li>
Familiarity with JFrog Artifactory / Curation or similar artifact governance tools.</li><li>
Understanding of Apache Kafka architecture and operations.</li><li>
Exposure to AI-powered DevOps / AIOps solutions for deployment insights and automation.</li><li>
Experience implementing DevSecOps practices and securing software supply chains within CI/CD pipelines.</li><li>
Strong communication, collaboration, and technical documentation skills.</li><li>
Contributions to CNCF ecosystem or Backstage OSS are a plus.</li><li>
Cloud architecture certifications (AWS/GCP Solutions Architect) is a plus.</li><li>
Kubernetes certifications (CKA, CKAD, CKS) is a plus.</li><li>
DevOps &amp; Infrastructure: HashiCorp Terraform Associate or equivalent CI/CD certificate is a plus.</li></ul>
#LI-Hybrid
Company Overview: McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users&rsquo; needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:<ul><li>
Bonus Program</li><li>
401k Retirement</li><li>
Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage</li><li>
Paid Parental Leave</li><li>
Support and Community Involvement</li><li>
14 Paid Company Holidays</li><li>
Unlimited Paid Time Off for Exempt Employees</li><li>
96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year</li></ul>
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Pay Range: The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications. Job Applicant Privacy Notice: Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.</div>

Sr. DevOps Engineer

Astrion

<div>Overview:

Cloud Egineer - Senior
LOCATION: Eglin AFB, FL
JOB STATUS: Full-Time
CLEARANCE: Active Secret Clearance
CERTIFICATION: DOD 8140 Level 3 Certification
TRAVEL: No Travel Required 
Astrion has an exciting opportunity for an SE-4 Cloud Engineer located at Eglin AFB, FL. 
The Cloud Engineer is responsible for the design, implementation, maintenance, and support of 48 Cyberspace Test Squadron&rsquo;s cloud infrastructure. This role requires a strong understanding of cloud computing concepts, technologies, and best practices. The Cloud Engineer will work closely with squadron test teams, developers, and leadership to ensure the reliability, security, and scalability of 48CTS cloud-based services and applications. This role encompasses building, automating, and optimizing cloud infrastructure to meet current and future business needs. 
REQUIRED QUALIFICATIONS / SKILLS 
<ul><li>
Master's Degree in Computer Science, Information Technology, or a related field with a minimum of 10 years of relevant experience. Additional years of experience may be substituted for education.</li><li>
Active Secret clearance. U.S. Citizenship.</li><li>
Strong understanding of cloud computing concepts and technologies (e.g., IaaS, PaaS, SaaS).</li><li>
Experience with one or more major cloud platforms (e.g., AWS, Azure, GCP).
</li><li>Proficiency in at least one scripting language (e.g., Python, Bash, PowerShell).</li><li>
Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation, Azure Resource Manager).</li><li>
Experience with containerization technologies (e.g., Docker, Kubernetes).</li><li>
Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, Azure DevOps).</li><li>
Strong understanding of networking concepts (e.g., TCP/IP, DNS, routing, firewalls).</li><li>
Experience with security best practices and compliance standards.</li><li>
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).</li><li>
Familiarity with database technologies (e.g., SQL, NoSQL).</li></ul> 
DESIRED QUALIFICATIONS / SKILLS 
<ul><li>
AWS Certified Solutions Architect</li><li>
Microsoft Certified: Azure Solutions Architect Expert</li><li>
Google Cloud Certified Professional Cloud Architect</li><li>
Other relevant cloud certifications.</li></ul> 
RESPONSIBILITIES 
Cloud Infrastructure Design and Implementation:<ul><li>
Design, build, and deploy scalable, highly available, and secure cloud infrastructure solutions.</li><li>
Select appropriate cloud services and technologies based on business requirements and cost considerations.</li><li>
Develop and maintain infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or Azure Resource Manager.</li><li>
Configure and manage virtual machines, containers, networking, storage, and databases in the cloud.</li><li>
Implement and manage cloud-based security controls, including identity and access management (IAM), network security groups, and encryption.</li></ul>
Cloud Infrastructure Management and Maintenance:<ul><li>
Monitor cloud infrastructure performance and identify areas for optimization.</li><li>
Troubleshoot and resolve cloud-related issues in a timely manner.</li><li>
Perform regular maintenance tasks, such as patching, upgrades, and backups.</li><li>
Implement and maintain cloud monitoring and alerting systems.</li><li>
Manage and optimize cloud costs.</li></ul>
Automation and Orchestration:<ul><li>
Automate cloud infrastructure provisioning, configuration, and deployment using scripting languages (e.g., Python, Bash) and automation tools (e.g., Ansible, Chef, Puppet).</li><li>
Develop and maintain CI/CD pipelines for cloud-based applications.</li><li>
Implement and manage container orchestration platforms (e.g., Kubernetes, Docker Swarm).</li></ul>
Security and Compliance:<ul><li>
Implement and maintain cloud security best practices.</li><li>
Implement and manage security incident response procedures.</li></ul>
Collaboration and Communication:<ul><li>
Work closely with other IT teams, developers, and business stakeholders to understand their needs and provide cloud solutions.</li><li>
Document cloud infrastructure designs, configurations, and procedures.</li><li>
Provide training and support to other IT staff on cloud technologies.</li></ul>
Continuous Improvement:<ul><li>
Stay up-to-date on the latest cloud technologies and trends.</li><li>
Identify and implement opportunities to improve cloud infrastructure efficiency, security, and reliability.</li><li>
Contribute to the development of cloud standards and best practices.</li><li>
Research and recommend innovative cloud solutions.</li></ul></div><div></div>

Cloud Engineer - Senior

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