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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.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit www.chaosinc.com. The Role You'll join a small, highly collaborative team in San Francisco building the cloud platform behind some of the world's most advanced radar systems. You'll design, build, and operate both the infrastructure and the backend services that move mission-critical sensor data from radars in the field to the operators who depend on it. The platform is in production and growing fast, and your job is to scale it as our fleet of sensors, customers, and deployments grows. Responsibilities Cloud Infrastructure - design and operate our Azure infrastructure as code with Terraform: networking, Azure Container Apps, managed databases, and the CI/CD pipelines that deploy to them. Backend Platform Services - build and own high-throughput Python (FastAPI) services and the data layer behind them (PostgreSQL/TimescaleDB, Redis, Cosmos DB) that ingest and stream real-time sensor data. Platform Architecture - work with engineering teams across the company to define the architecture of the next generation of the platform. Operations - own security, reliability, and observability across the platform: identity and access, secrets management, network isolation, monitoring and alerting (Datadog), and incident response. Minimum Requirements Have built and operated production infrastructure in at least one major cloud - Azure, AWS, or GCP - defined in code with Terraform, Pulumi, Bicep, or CloudFormation. Have run containerized production workloads (Docker) on a managed platform such as Azure Container Apps, AWS ECS or Fargate, Google Cloud Run, or Kubernetes. Have strong cloud networking fundamentals: virtual networks, subnets, routing, DNS, load balancers, private endpoints, and firewalls. Have built and operated production backend services in Python, Go, or a similar language, and understand what happens under load - concurrency, async I/O, connection pooling, and resource limits. Are fluent in distributed systems: consistency and replication, partitioning, caching, back-pressure, idempotency, and how systems fail - and how to design so that they degrade gracefully. Have scaled a production system well beyond its original design, and fixed what broke on the way. Build securely by default - least-privilege access, secrets kept out of code, and patched, hardened systems - and can explain the trade-offs behind those choices. Preferred Requirements Azure Government, AWS GovCloud, or other regulated environments (FedRAMP, CMMC, NIST 800-171 or 800-53). Real-time and streaming data systems: WebSockets, server-sent events, pub/sub, and message queues. Identity and cloud security: Entra ID, OAuth 2.0 / OIDC, managed identities, service-to-service authentication, and policy as code. Why CHAOS? Health Benefits: Medical, dental, and vision benefits 100% paid for by the company Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more Our Perks: Free daily lunch while you're working onsite, fully-stocked kitchen, unlimited PTO, casual dress code Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses Team Growth: 500+ employees and counting across 5 global offices Salary Range: $140,000 - 240,000 The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Azure Infrastructure Engineer – Remote 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: Azure Infrastructure Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$120,000 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 a skilled Azure Infrastructure Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and ongoing operational excellence for production workloads. The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code Deep understanding of cloud security principles, identity management, and compliance frameworks Experience implementing monitoring, alerting, and observability strategies across distributed workloads Strong troubleshooting, communication, and documentation skills Preferred Qualifications Microsoft Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert certification Experience operating hybrid cloud or multi-cloud environments spanning Azure and on-premises infrastructure Familiarity with service mesh technologies such as Istio or Linkerd on AKS Exposure to FinOps practices and cloud cost-management tooling Experience with regulated environments such as HIPAA, PCI-DSS, SOC 2, or FedRAMP How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. 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 w4HyHCtMht

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance. This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives. Recruiting for this role ends on 11/15/2026. Work You'll Do As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for... Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions The Team Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value. In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation. Qualifications Required: Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field 4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management Experience implementing Infrastructure as Code (Terraform, Bicep, ARM) Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions Strong understanding of cloud security, networking, governance, and enterprise platform operations Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks certifications preferred Experience working across hybrid cloud or enterprise modernization initiatives Consulting experience supporting large-scale transformation programs Wages + Salary The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Be Challenged and Make a Difference In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. Description of Task to be Performed: AnaVation is seeking an experienced cloud engineer to join our high- performing team. This work is onsite in Quantico, VA. You'll keep a complex hybrid environment running for a mission enterprise application that people depend on every day to do their jobs. That covers AWS commercial accounts, a GitLab CI/CD pipeline across dev, test, and prod, and on-prem hardware that you'll maintain from the rack up. This is an on-site role, with hybrid options available once you've established yourself on the team. What You'll Do Maintain and improve AWS commercial infrastructure using infrastructure as code Run and troubleshoot CI/CD pipelines in GitLab across dev, test, and prod environments Keep multiple environments stable, consistent, and working as expected Rack, swap, and maintain on-prem servers Patch and update on-prem Debian-based Linux systems Support monitoring and logging so issues are caught before users notice them This position requires regular on-site presence in Quantico, VA. Applicants who do not currently reside within commuting distance to this location should describe how they would satisfy any onsite requirements. This position requires an active Top Secret clearance and the ability to obtain SCI accesses with a CI polygraph. Required Qualifications: 3 to 5 years of experience in cloud or relevant systems engineering Active TS/SCI clearance, and willingness to complete a CI polygraph Hands-on experience building and maintaining AWS infrastructure with infrastructure as code Experience with CI/CD pipelines across multiple environments Hands-on experience maintaining physical servers Experience administering and patching Debian-based Linux and Windows systems Preferred Qualifications: Terraform ICAM experience AWS Certified Solutions Architect, Associate or higher GitLab CI Containers (Docker, Kubernetes, EKS) Scripting (Python, Bash) Monitoring and logging tools Ansible Atmos Benefits Generous cost sharing for medical insurance for the employee and dependents 100% company paid dental insurance for employees and dependents 100% company paid long-term and short-term disability insurance 100% company paid vision insurance for employees and dependents 401k plan with generous match and 100% immediate vesting Competitive Pay Generous paid leave and holiday package Tuition and training reimbursement Life and AD&D Insurance About AnaVation AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team. If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Please note: The listed salary range reflects our market-based compensation structure. Final compensation will depend on business needs, local market conditions, internal equity, and the selected candidate's skills, education, and experience.