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Required Education/Experience Bachelor's in Computer Science or Information Technology Preferred Licenses/Certifications Microsoft Azure certifications, such as: Azure Administrator Associate Azure DevOps Engineer Expert Azure Solutions Architect Expert or equivalent relevant Azure credentials Required Qualifications 5+ years of experience in automation, DevOps, or platform engineering roles, with demonstrated ownership of complex systems. Experience in scripting and coding for Infrastructure as Code (IaC). Hands on experience with AWS services, including containerized and orchestrated platforms such as Kubernetes. Deep working knowledge of CI/CD tooling and practices, including Jenkins, GitHub, and Azure DevOps, at enterprise scale. Experience working with database platforms and services, including SQL Server and Postgres. Proven experience supporting microservices based architectures in production environments. Solid understanding of compliance and quality frameworks (e.g. ISO) and how they apply to automated delivery pipelines. Working development knowledge in .NET, Java, and/or Python, sufficient to review code, troubleshoot issues, and contribute where required. Position's Contributions To Work Group CLIENT products generate and process large amounts of data from sensors, on board models, and control algorithms in real time, creating real world machine usage information As part of CLIENT's overall digital strategy, an integrated family of machine based information technology products has been developed to interconnect machines and provide real time guidance, tracking, monitoring, and supervisory control of the operational mining fleet This family of products is branded MineStar. The MineStar product range links with other mining and business information systems and is an integral part of the Mining Technology Enabled Solutions vision We are seeking a DevOps Engineer to join our operations team This role focuses on designing, implementing, and owning automation solutions that improve reliability, scalability, security, and delivery speed across the entire software development lifecycle The role operates with limited supervision, provides technical ownership, and influences automation standards across teams. Top 3 Skills Github Jenkins Kubernetes Responsibilities Design and implement end to end automation solutions across build, test, deployment, and infrastructure lifecycles. Partner with Agile delivery teams to define automation strategy, identify systemic inefficiencies, and drive continuous improvement initiatives. Collaborate with developers and quality engineers to standardize pipelines, environments, and workflows, reducing manual effort and operational risk. Design, implement, and support robust CI/CD pipelines, proactively removing delivery bottlenecks and improving deployment reliability. Take ownership of complex automation and deployment issues, performing root cause analysis and driving long term corrective solutions. Coordinate with multiple Agile teams to identify, manage, and resolve technical dependencies impacting delivery and operations. Work closely with external and enterprise teams to ensure alignment with corporate architecture, security, and compliance standards. Establish and maintain automation standards, best practices, and reusable templates across teams. Document automation designs, operational procedures, and runbooks in Confluence, and plan and track work in Azure DevOps. Provide technical guidance and mentoring to junior engineers and peers, raising overall automation maturity within the organization. Only those lawfully authorized to work in the designated country associated with the position will be considered. Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements. About Rose Founded in 1993 Office Locations Across the U.S. 150+ Clients: Corporations and Government Agencies Employee Oriented Company Challenging Assignments Across the U.S. Continuous Professional Development EMPLOYEE COMMENTS We want you to work with us, but don't take our word for it. Take a look at this sampling of employee comments. They speak for themselves.

NVIDIA's networking software runs the fabrics inside the world's largest AI systems: NVLink and InfiniBand switch management, subnet managers, in-network computing, and fabric telemetry. Our infrastructure and DevOps team owns how that software is built, tested, scanned, and released — the CI/CD pipelines, Kubernetes-based build fleets, artifact and container registries, quality and security gates, and the hardware-simulation and lab environments the product teams rely on every day. We are looking for a senior DevOps engineer who is at home on Linux, automates in Python and Bash without hesitation, and takes pipelines end to end, from a red nightly to a signed release. The work spans a dozen active repositories and three CI systems, together with a distributed team of DevOps and product engineers across the US and Israel. Every build the networking software organization ships passes through what this role owns. What You'll Be Doing Design, build, and maintain CI/CD pipelines for a portfolio of networking software products across GitLab CI, Jenkins, and GitHub Actions — from merge-request gates to nightly regressions and release pipelines that package, sign, and publish Debian and RPM packages and container images. Keep pipeline signal trustworthy: make failures visible and actionable, remove failure masking, stabilize flaky lanes, and turn nightly regression results into something product teams act on. Operate and evolve the build infrastructure — Kubernetes-based CI runner fleets, container registries and artifact repositories, caching, retention policies, and access control. Integrate quality and security gates into every pipeline: code coverage, static analysis, unit and functional test lanes, secret and container scanning, dependency and vulnerability scanning — and drive findings to closure with the owning teams. Automate provisioning of hardware- and simulation-based test environments with Ansible and Python. Partner with C++ and Python developers, verification engineers, and lab and infrastructure teams to unblock builds, harden release paths, and set repository standards — branch protection, code owners, merge policies. Apply AI-assisted tooling to DevOps work — automated code review, failure-triage assistants, agent workflows — wherever it removes toil. What We Need To See Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. 5+ years in DevOps, build and release, or infrastructure engineering roles, including pipelines owned end to end. Deep, hands-on Linux skills on Ubuntu and RHEL: shell fluency, process and system debugging, package management, operating fleets of hosts, and containers with Docker. Strong automation in Python and Bash. Production track record with at least one modern CI system — GitLab CI, Jenkins pipelines, or GitHub Actions — including multi-stage pipelines for both compiled and interpreted codebases. Working knowledge of Kubernetes as a CI and infrastructure platform, plus container registries and artifact repositories. Familiarity with software quality and security tooling: coverage, static analysis, secret and vulnerability scanning. Solid grounding in computer networking fundamentals and Git-based development workflows. Ownership and clear communication — able to drive a problem across teams and time zones and to document what you build. Ways To Stand Out From The Crowd Building and packaging C/C++ projects with CMake and Conan, and keeping large compiled builds fast and reproducible. Familiarity with high-performance networking — InfiniBand, Ethernet fabrics, NVLink — or with switch and network-management software. Running SonarQube, Coverity, Bullseye, or container and secret scanning at scale. Practical use of AI agents and LLM tooling to automate DevOps and verification workflows. Excellent interpersonal and communication skills With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 176,000 USD - 276,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2025882

Position Title: DevOps Engineer (Senior) Location: National Capital Region Position Type: Full-Time Position Overview We are seeking a DevOps Engineer (Senior) to support the deployment, automation, and sustainment of mission-critical systems in a secure environment. This role focuses on containerized deployments, CI/CD pipeline development, and automation across Windows and Linux platforms. Key Responsibilities Design, implement, and maintain CI/CD pipelines using GitLab, Jenkins, and GitHub Develop and support containerized deployments across enterprise environments Automate application and infrastructure deployments across Windows and Linux systems Support and optimize container orchestration platforms; Kubernetes experience preferred Collaborate with development, security, and operations teams to improve deployment efficiency Troubleshoot build, deployment, and environment issues Document DevOps processes, standards, and best practices Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field Minimum of 8 years of DevOps, systems engineering, or related experience Hands-on experience with container deployment technologies Experience with: AWS, Docker, ALB, Terraform, CloudFormation, Databricks, AWS Redis, Springboot, PKI Strong experience with GitLab, Jenkins, and GitHub Experience automating deployments across Windows and Linux environments Active Top Secret security clearance (required at time of hire) Preferred Qualifications Experience with Kubernetes Experience supporting DoD or federal programs Familiarity with secure or classified development environments Culture Requirements Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self‐organized. We place a lot of trust in our team members to develop technical solutions for ill‐defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers. We want our team members to be self‐motivated and eager to learn new skills. If you consider yourself a jack‐of‐all‐trades, and are eager to keep up with the latest trends in technology, you'll fit right in. About Cintel, Inc Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support. We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs. It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training. Cintel, Inc. expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is not tolerated.

All Jobs FANTOM CORPORATION Posted on Oct 28, 2026 Featured A featured role. The employer reviews Tech Ladies applicants first. Senior DevOps Engineer Chantilly Mid-Senior ICs Information Technology Apply Now Apply Now FANTOM CORPORATION FANTOM CORPORATION www.fantomcorp.com Private 1-50 Leesburg, Virginia Fantom Corporation provides Podcasting Media and Information Technology (IT) Services to customers in defense and intelligence agencies. Adding value for customers using industry's best practices, continuous improvement, and surpassing competitors by building a more agile business around customers. SBA Certified 8(a) | SDB Job Description Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. We are seeking a Senior DevOps Engineer to support a mission-critical enterprise. This role supports software development and deployment activities across multiple environments, and drives automation initiatives. Responsibilities Designs builda, maintains, and enhances Jenkins-base CI/CD pipelines Leveraging containerization and Kubernetes Automate, build, test and deployment of processes, and managing cloud environments Required Qualifications Must possess an active Top Secret Clearance Must be willing and able to obtain a polygraph Bachelor's degree with 8+ years of relevant experience, or Master's degree with less than 2 years of relevant experience DeveSecOps, Kubernetes, Containization, CI/CD Pipelines, Docker, Node.js #CJ Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. About The Job Apply before December 12, 2026 Posted on October 28, 2026 Experience level Mid-Senior ICs Salary Job type Full-time Location Chantilly Interested in this role? Apply Now Apply Now Why apply via Tech Ladies Our Partners give Tech Ladies' applications priority review as they source candidates. Apply Now Apply Now You apply on FANTOM CORPORATION's own site. Why apply via Tech Ladies Our Partners give Tech Ladies' applications priority review as they source candidates. New tech roles every week Get the Tech Ladies job email. Subscribe → More open roles Girl Scouts Western Oklahoma IT Support Specialist Girl Scouts Western Oklahoma Portland Vested Senior Software Engineer Vested Remote Federation of American Scientists Metascience Fellowship Federation of American Scientists See All Jobs Are you looking to hire Tech Ladies? Post a Job

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Who you'll be: The Senior DevOps Engineer designs, builds, maintains, and enhances Jenkins-based CI/CD pipelines leveraging containerization and Kubernetes technologies. The role supports software development and deployment activities across multiple environments, drives automation initiatives, and ensures reliable, secure, and scalable delivery of applications and machine learning solutions. This position requires strong analytical and problem-solving skills, the ability to work independently, and effective collaboration with cross-functional stakeholders. What you need: US Citizen with an Active TS/ SCI with CI Poly Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience). 8 years of relevant professional experience Demonstrated experience designing and supporting enterprise CI/CD pipelines using Jenkins. Experience with containerization technologies, including Docker and Kubernetes. Experience supporting automated testing and software deployment across multiple environments. Strong scripting and automation experience using languages such as Python, Bash, PowerShell, or similar. Experience with Agile development methodologies and DevOps practices. Knowledge of cloud platforms, infrastructure automation, and configuration management tools. Experience troubleshooting complex software, infrastructure, and deployment issues. Strong written and verbal communication skills. Unique Skills / Technical Requirements In-house custom developed application Advanced AI, GenAI & Multi-Model Engineering Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution) Temporal, spatial, geographic, quantitative, and computer vision AI implementation Named Entity Recognition (NER), contextual entity extraction, and resolution Multi-step retrieval and structured output generation Complex data parsing and streamlined ingestion Deep source citation and traceable analytic outputs Data Architecture & ETL Vector, graph, and multi database orchestration Automated ETL pipeline creation, scheduling, and optimization Attribute Based Access Control (ABAC) at the data layer o Provenance and end to end data lineage tracking Schema aligned ingestion and normalization of diverse structured and unstructured data Enterprise Infrastructure & CrossDomain Solutions Air gapped, hybrid, and on premise operational environments Container orchestration and distributed systems management (Kubernetes) Locally hosted GPU servers and hyperconverged nodes Multitenant CrossDomain Solutions (CDS) Application Development & Integration UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes) Integration of reasoning components, retrieval systems, databases, and AI / GenAI services Use of modern programming languages and frameworks Nice to have: Experience implementing DevSecOps and secure software delivery practices. Experience supporting machine learning workflows, MLOps platforms, or AI/ML infrastructure. Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible. Experience with source control platforms such as Git, GitHub, GitLab, or Bitbucket. Familiarity with monitoring, logging, and observability platforms. Experience leading technical initiatives and mentoring engineering teams. Relevant industry certifications (e.g., AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications). As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $94,000—$187,600 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement 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. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. 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 Federal Services 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. 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 click here for additional important information.

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Job Description FIS Management Services, LLC seeks Devops Engineer Seniors in Jacksonville, FL to Help shape and build our next gen pipeline deployment infrastructure. Create, maintain, and improve automation that builds and deploys environments for client focused testing and implementation teams. Manage deployments to environments in coordination with release management – with focus on automating promotion. Monitor, troubleshoot, and remediate build and deployment issues. Engage with Development teams to optimize a commit-based build pipeline, debugging as needed. Write Jenkins groovy shared library framework, Ansible and other tools. Configure and run Maven build jobs. Assist with improving IOS/Android build and distribution pipeline. Automate execution of QA test suites. Perform metrics collection and dashboarding. Implement InfoSec security tests. Maintain Git and Artifactory repository structures. Provision and configure Kubernetes/OpenShift namespaces. Perform Package releases with Helm charts. Perform database automation with Flyway, collaborating with DBA teams. Advocate for best practices when it comes to DevOps processes, culture, and 12-factor application design. Contribute to the modernization of DevOps and CI/CD tooling by engaging in a migration from existing Bitbucket SCM and Jenkins CI/CD to GitHub Enterprise and GitHub Actions. Create shareable Actions that can be distributed and reused across the organization. Act as an SME to enable and educate engineers to take on ownership of their own pipelines. Operate as a platform team member, building out capabilities within GitHub and GitHub Actions to support a positive developer experience, while continuing to engage in day-today current state operations. REQUIREMENTS~ Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Information Technology, or related field and five (5) years of progressively responsible experience in the job offered or a related occupation~ collaborating with Release Managers, Development teams, DBA's (Database Administrators) on software delivery using established DevOps pipelines including software release builds, deploys, and troubleshooting to ensure quality software releases; working with Modern DevOps engineering base tools and practices including GitHub, GitHub Actions, LaunchDarkly, AWS, Terraform, Continuous Delivery, a You Build It, and You Run It model; maintaining current state tooling with Bitbucket, Jenkins, and OpenShift; working with a Platform mindset with an emphasis on building reusable capabilities and educating and upskilling engineers to perform their own day-to-day DevOps duty; shifting the culture from a DevOps support model to a DevOps enablement and platform model; utilizing hosting technologies for containerization and Openshift on AWS platform as well as target state hosting in Fargate and Lambda AWS Serverless infrastructure; and implementing DevOps best practices including lean release management, deployments and configuration as code to ensure everything automated and repeatable. In the alternative, the employer will accept a Master's degree in the above listed fields and three (3) years of experience in the above listed skills. Telecommuting and/or working from home may be permissible pursuant to company policies. QUALIFIED APPLICANTS~ Please apply directly through our website by clicking on "Apply Now." Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer~ In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Requisition ID: 5448 Standard Title: Required Security Clearance: Top Secret/SCI Location: Bethesda, MD Work Type: On-Site Shift: First Referral Eligibility: Eligible U.S. Citizenship Required? Yes Position Summary Base-2 Solutions is seeking a DevOps Software Engineer to join a high-energy team supporting the DIA-NMEC DOMEX Technology Platform (DTP). This role involves building and deploying a cutting-edge technology stack as part of a 10-year program modernizing the DOMEX Data Discovery Platform (D3P). The position requires collaboration with a multidisciplinary team to deliver mission-critical capabilities. Essential Duties And Responsibilities Design, deploy, and maintain a full-stack, containerized microservices architecture. Support systems administration, installation, and configuration. Promote adoption of DevOps best practices across cross-functional engineering teams. Deploy, triage, and maintain a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka. Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability. Design and support scalable, redundant infrastructure across physical and virtual environments. Use Helm to configure Kubernetes deployments for new features and evolving requirements. Partner with Systems Engineers to architect solutions for new capabilities. Contribute technical input to engineering documentation, diagrams, and models. Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities. Required Qualifications Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ years with a Master's degree. Strong Linux proficiency. Hands-on experience with containers and Kubernetes. Experience with CI/CD orchestration and GitLab. Familiarity with Elasticsearch, Logstash, and Kibana. Demonstrated success working in cross-functional engineering environments. Preferred Qualifications Experience operating systems at scale. Knowledge of Agile methodologies. Development experience with Bash, PowerShell, SALT, Python, Groovy, Java, etc. Experience supporting enterprise or production systems. Familiarity with Kafka or other messaging systems (AMQP, JMS). Experience with Kubernetes monitoring tools (Prometheus, Grafana). Experience with GPU-based Kubernetes. Experience with SALT for deployment automation. Experience with Helm / Helmfile. Experience with Nexus. Required Education and Experience Equivalency Bachelor's degree with 8+ years of experience. Master's degree with 6+ years of experience. Required Certifications None specified. Required Security Clearance Active Top Secret/SCI Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: base-2solutions.com/eeo Pay & Benefit Highlights Compensation Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). Employee referral bonuses up to $10,000 per hired referral. Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health 100% company-paid medical premiums for employees and eligible dependents. Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. 100% company-paid dental premiums for employees and eligible dependents. 100% company-paid vision premiums for employees and eligible dependents. Income Protection 100% company-paid premiums for short-term disability. 100% company-paid premiums for long-term disability. 100% company-paid premiums for accidental death & dismemberment (AD&D). 100% company-paid premiums for life insurance up to $200,000. Retirement 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). 401(k) pre-tax and Roth options. Leave Up to 20 days of flexible paid time off (PTO). 11 paid floating holidays. Work-Life Balance Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Kubernetes & OpenShift Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $135,000–$155,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced Kubernetes & OpenShift Engineer to design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms running mission-critical workloads across on-premises and cloud environments. In this role you will own the end-to-end platform lifecycle — from cluster provisioning and hardening, through workload onboarding and developer enablement, to ongoing operations and continuous improvement. The ideal candidate will bring deep expertise in OpenShift and Kubernetes internals, strong Linux fundamentals, and a security-first mindset, and will partner with application teams, security engineers, and infrastructure stakeholders to deliver a stable, secure, and developer-friendly container platform. Required Qualifications Five or more years of experience operating container platforms in production, with at least three years on Red Hat OpenShift Deep, hands-on knowledge of Kubernetes and OpenShift internals, including operators, CRDs, RBAC, and networking Strong Linux administration skills, including networking, performance tuning, and troubleshooting Hands-on experience with infrastructure-as-code tools such as Ansible, Terraform, or Helm Solid experience implementing CI/CD pipelines on OpenShift or Kubernetes using Tekton, Jenkins, or Argo CD Strong scripting skills in Bash, Python, or Go Working knowledge of cluster monitoring, logging, and tracing tools Familiarity with container image security and supply chain hardening Excellent troubleshooting, communication, and documentation skills Preferred Qualifications Red Hat Certified Specialist in OpenShift Administration or Architect-level Red Hat certification Experience operating OpenShift on at least one major public cloud (AWS, Azure, GCP) Exposure to service mesh implementations (OpenShift Service Mesh, Istio, Linkerd) Familiarity with regulated environments such as PCI-DSS, HIPAA, or SOC 2 Experience with GitOps workflows using Argo CD or Flux How To Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR hSv7O5dbmV

Quantum Sky is seeking a Senior Infrastructure Engineer to design, build, and operate the cloud and AI infrastructure behind Project 137, the company's applied-research and IP engine. Reporting to the Director of Infrastructure Engineering, this engineer will own Google Cloud Platform (GCP) and Kubernetes environments that run AI/ML training, inference, and data workloads. The role is approximately 85% hands-on engineering and 15% project coordination. The ideal candidate is a senior practitioner with deep GCP expertise, production experience supporting AI workloads, and the organizational discipline to plan and schedule infrastructure work across teams. Responsibilities: Cloud and AI infrastructure Design, build, and operate production infrastructure on Google Cloud Platform, including landing zones, VPC networking, Cloud IAM, storage, and organization policy. Engineer and scale infrastructure for AI/ML workloads: GPU and TPU capacity, distributed training, model serving and inference, and high-throughput data pipelines. Support data-science and research teams on Vertex AI, Kubeflow, and related MLOps tooling, including environment provisioning, model registries, and experiment infrastructure. Build and maintain hybrid connectivity between on-premises data-center and cloud environments, including Cloud Interconnect, VPN, DNS, and load balancing. Kubernetes and platform engineering Architect and operate GKE clusters, including GPU node pools, autoscaling, workload identity, networking and ingress, and version upgrades. Build reusable platform components and Helm charts that give engineering and research teams self-service access to compute and AI tooling. Define and automate infrastructure with Terraform and GitOps practices, using Git as the source of truth for configuration, manifests, and CI/CD pipelines. Reliability and security Implement observability, alerting, and SLOs using Cloud Operations, Prometheus, and Grafana; participate in on-call and lead root-cause analysis on incidents. Apply cloud security controls: least-privilege IAM, secrets management, container image scanning, policy-as-code, and software supply-chain protections. Plan, build, and test backup and disaster-recovery capabilities for platform and AI workloads. Mentor engineers, lead design reviews, and document architecture standards and runbooks. Project coordination (approx. 15%) Plan and schedule infrastructure workstreams, maintaining timelines, milestones, and dependency tracking across engineering, research, and operations teams. Organize technical work into clear tasks and priorities, and report progress and blockers to the Director of Infrastructure Engineering. Required: Education: Bachelor's degree in computer science, engineering, or a related technical field. Equivalent experience considered. Experience: 5+ years in infrastructure, platform, cloud, or site reliability engineering, including 2+ years of hands-on production work on Google Cloud Platform. Google Cloud: Deep expertise across Compute Engine, GKE, VPC, Cloud IAM, Cloud Storage, Cloud Operations. AI infrastructure: Experience supporting AI/ML workloads in production, including GPU or TPU provisioning, training and inference platforms, and MLOps tooling such as Vertex AI or Kubeflow. Kubernetes: Production experience operating Kubernetes, including cluster operations, Helm, networking and ingress, RBAC, autoscaling, and upgrades. Automation: Strong Terraform and Git-based workflow skills; experience with CI/CD tooling such as Cloud Build, GitHub Actions, GitLab CI, or Argo CD. Scripting: Proficiency in Python, Go, or Bash for automation and tooling. Networking and systems: Solid understanding of Linux, TCP/IP, DNS, load balancing, and hybrid cloud connectivity. Organization: Proven ability to plan, schedule, and track technical work across multiple concurrent workstreams using tools such as Jira or Confluence. Communication: Clear written and verbal skills; able to explain technical trade-offs to engineers, researchers, and leadership. Desired: Google Cloud Professional Cloud Architect, Professional Cloud DevOps Engineer, or Professional Machine Learning Engineer certification. Certified Kubernetes Administrator (CKA), Application Developer (CKAD), or Security Specialist (CKS). Experience with GPU scheduling and sharing on Kubernetes (NVIDIA GPU Operator, Kueue, or Ray) and large-scale distributed training. Familiarity with data-center fundamentals for high-density compute, including power, cooling, and capacity planning. Multi-cloud experience with AWS or Azure alongside GCP. Location: This position is based in [Reston, VA] with a [hybrid / on-site] schedule. Occasional travel of approximately 10-20% to partner sites and data-center locations. Clearance: Secret (required), Top Secret/ SCI (preferred) The world the mission operates in is going post-quantum, contested, and machine-speed. Quantum Sky engineers the advantage across cyber, networks, software, and quantum because the mission demands dominance, not parity. We don't follow the map. We draw it. At Quantum Sky, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamQuantumSky? Quantum Sky Engineering LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.

Role: Lead DevOps Engineer – GCP Location: Chicago, IL Work Arrangement: Hybrid – 3 Days Onsite per Week We are looking for an experienced Lead DevOps Engineer – GCP to lead the implementation of Google's Edge Platform across enterprise infrastructure. This role offers an opportunity to drive cloud architecture, infrastructure automation, Kubernetes orchestration, and enterprise-scale DevOps transformation. Key Responsibilities Architect and implement scalable, resilient Google Cloud Platform (GCP) solutions. Design and manage Kubernetes and GKE environments. Build reusable, modular Terraform modules for multi-environment deployments. Develop secure CI/CD pipelines using Cloud Build, GitHub Actions, Jenkins, or Spinnaker. Implement IAM, RBAC, OIDC, and Workload Identity Federation. Integrate GCP services, including Cloud Run, Cloud Functions, Secret Manager, and Pub/Sub. Manage distributed Kubernetes workloads using Anthos and GKE Enterprise. Implement infrastructure monitoring, logging, and observability using Google Cloud Operations Suite. Partner with application, security, and DevOps teams to enforce cloud security and compliance. Optimize infrastructure performance, scalability, reliability, and cost. Required Qualifications 7+ years of experience in DevOps, cloud engineering, or infrastructure architecture. Advanced, hands-on Terraform expertise, including reusable modules, remote state, and workspaces. Strong Google Cloud Platform (GCP) architecture and services experience. Hands-on Kubernetes/GKE expertise. Proficiency in Python scripting for infrastructure automation. Experience building and maintaining CI/CD pipelines using Git-based workflows. Preferred Qualifications Experience with Google Distributed Cloud (GDC/GDCC) and Google Edge. Strong knowledge of Cloud IAM, RBAC, OIDC, and Workload Identity Federation. Cloud security expertise, including encryption, VPC Design, firewall policies, and service accounts. Experience with Anthos and GKE-Enterprise.

Washington D.C. Pay Range: $120,000 - $140,000 USD LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment. This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment. Location: In-Person (5 days/week) in Washington, DC Job Type: Full Time Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance Key Responsibilities Design, implement, and manage secure and scalable cloud infrastructure using GCP. Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools. Support CI/CD pipeline automation, integration, and management. Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows. Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs. Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST). Provide documentation and knowledge sharing with the broader engineering team. Required Qualifications Willing to obtain a security clearance. 4+ years of experience in cloud engineering, with at least 2 years on GCP. Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery. Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager. Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build. Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum environment. Preferred Skills GCP Professional Cloud Architect or DevOps Engineer certification. Experience supporting federal government contracts and understanding of ATO processes. Familiarity with other cloud platforms (AWS, Azure) is a plus. Scripting skills in Python, Bash, or Go. Why Join LightFeather? At LightFeather, you're not just taking a job—you're joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You'll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry. LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: We are looking for an experienced Cloud Engineer with deep hands on expertise in multi cloud environments and a strong emphasis on Google Cloud Platform. This role is highly technical and requires an engineer who can both implement cloud infrastructure and think at an architect level — designing scalable patterns, building automated deployment frameworks, and supporting enterprise AI workloads across multiple security domains and compliance boundaries. You will work heavily with custom software deployments, Docker-based workloads, Cloud Run, and eventually GKE, while ensuring infrastructure is automated, secure, compliant, and built via Terraform and CI/CD pipelines rather than console-driven operations. You're already a strong cloud practitioner who is naturally curious, self-driven, and comfortable exploring new services independently — including using AI tools to accelerate learning and design. This role supports deployments across Unclassified and Classified fabrics, requiring strict adherence to FedRAMP, Zero Trust, and cross-domain (CDS) requirements. Responsibilities: Multi Cloud Infrastructure (GCP Focused) Provision and configure cloud resources with a strong emphasis on GCP (Cloud Run, Vertex AI, Artifact Registry, Secret Manager, IAM). Design scalable patterns for containerized workloads, beginning with Cloud Run and expanding to GKE as needed. Deploy and manage Docker-based applications across GCP and AWS GovCloud. Support AI workload hosting using Vertex AI (GCP) and Bedrock (AWS) in secure, multi-domain environments. Infrastructure as Code & DevOps Automation Build all infrastructure using Terraform (preferably modular patterns) and maintain automation-first standards. Write scripts to support deployment, automation, and operational workflows. Maintain CI/CD pipelines (GitHub Actions, Cloud Build, etc.) for reproducible deployments across all security fabrics. Implement GitOps and DevOps best practices; avoid console based configuration. Secure, Classified, and Cross-Domain Cloud Operations Build and maintain cloud architectures spanning Unclassified and Classified environments with strict security boundaries. Implement and troubleshoot cross-domain solutions (CDS), secure data transfer patterns, and enclave-specific configurations. Ensure Zero Trust-aligned configurations for each security domain. Support FedRAMP compliance and ATO-related activities for multi-domain deployments. Enterprise-Scale Architecture & Operational Excellence Design enterprise-grade cloud patterns that scale beyond prototypes — multi-tenant environments, reusable modules, structured network segmentation, and standardized deployment frameworks. Configure VPC networking, IAM policies, access controls, and segmentation strategies across multiple clouds and domains. Implement monitoring, logging, and alerting to ensure platform reliability, security, and performance. Support cloud migration activities transitioning on-prem systems into multi-cloud architectures hosting AI workloads. Collaboration & Continuous Learning Collaborate closely with Cloud Solution Architects, DevOps Engineers, Data Engineers, and AI Developers. Explore and learn new cloud services proactively; identify which services best support architectural and business goals. Leverage AI tools to accelerate learning, analysis, troubleshooting, and ideation. Document architecture, configurations, runbooks, operational procedures, and cross-domain designs. Here's what we need: Minimum 5+ years of hands-on cloud engineering experience. Strong delivery experience on GCP, plus working knowledge of AWS GovCloud. Expertise deploying Docker-based custom software at scale. Strong Terraform engineering capability. Have a CI/CD-first mindset; comfortable designing DevOps patterns end-to-end. Comfort working in secure, regulated, and cross-domain environments. Active Top Secret clearance required with CI poly. Must be willing to work onsite in Washington, DC. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $81,000—$154,700 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement 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. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. 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 Federal Services 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. 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 click here for additional important information.