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Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: As an engineer on the HMS DevOps/DevEx Team, you will write the automation, configure the environments, and build the CI/CD pipelines that power the software development lifecycle across Hivemind Solutions. Your work is hands-on and focused on engineering maximum velocity, reproducibility, and security into our distributed developer tooling and cloud testing environments. You will completely automate tool workflows by writing scripts and API integrations connecting GitLab, Jira, and Confluence. You will configure and optimize C++, Python, and Node.js compilation pipelines, scale auto-running GitLab runner fleets, manage secure Artifactory container registries, deploy Forge in Azure Gov Cloud, and write custom HMS extensions to our pi-gov GenAI routing harness. What you'll do: Write, configure, and maintain robust GitLab CI/CD pipelines and runner environments for C++, Python, and Node.js software projects, ensuring fast compilation and test execution. Build, test, and deploy automated tooling integrations, webhook dispatchers, and state-change scripts connecting GitLab, Jira, and Confluence to orchestrate release workflows. Write custom Python or Bash extensions for our pi-gov harness, configuring secure, audited LLM routing rules and local container configurations. Deploy, scale, and configure the Forge simulation and test orchestrator in Azure Gov Cloud, optimizing runner autoscaling and cloud compute consumption. Maintain, configure, and secure Artifactory package registries, implementing secure container builds via BuildKit, secret injection, and Entra ID integration. Partner with development teams to migrate legacy project build systems to reproducible Nix developer environments, writing default Nix derivations and flake configurations. Troubleshoot pipeline failures, broken builds, registry access issues, and system-level configuration drift across development environments. Required qualifications: Typically requires a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience. Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure. Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab). Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix). Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS). Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID). Solid Linux system administration, networking, and troubleshooting skills. Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required). $150,000 - $230,000 a year #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.

Requisition Number: 30534 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $78,406.00 - $105,000.00 Security Clearance: Ability to Obtain Level of Experience: Mid HI This opportunity resides with All-Domain Operations (ADO) , a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership Mindset at HII – Mission Technologies Role Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities: Know & Grow Your People – Commit to learning and supporting team success. Build Relationships – Communicate openly, collaborate well, and build trust. Take Ownership – Deliver on commitments and take pride in your work. Customer First – Focus on the mission and those we serve. Shape the Future – Bring ideas, curiosity, and continuous improvement. Act with Urgency – Take initiative and follow through with purpose. These capabilities guide how all employees contribute to our shared success across Mission Technologies. Job Description HII Mission Technologies has been selected as one of Military.com's "Top 25 Employers for Veterans in 2024" and a Forbes Best Large Employer for 2023. Are you ready to take your career to the next level? We are seeking skilled and motivated Engineers to join our team. Position Summary HII: Mission Technologies is seeking is seeking a qualified, proactive, and customer-focused Software Engineer for The U.S. Army DEVCOM Ground Vehicle Systems Center (GVSC) in Warren, MI. We're seeking a DevSecOps practitioner with strong experience enabling modern software delivery practices across development teams. The ideal candidate excels at designing and maintaining GitLab CI/CD pipelines, building and securing containerized applications, and guiding teams through tooling and process improvements. This role requires on-site work in Warren, MI and cannot be performed remotely. Come support our work with Ground Vehicle Systems Center and join a high-performing team of engineers! Details Below! Essential Job Responsibilities Develop, optimize, and maintain CI/CD pipelines in GitLab for multiple software development teams. Build, manage, and secure containerized applications using industry-standard tools and containerization best practices. Lead and support migration efforts from Bitbucket to GitLab, ensuring smooth transitions and minimal disruption. Apply strong knowledge of build servers and GitLab Runners to support reliable, scalable automation. Embed security best practices into development and deployment workflows. Train, mentor, and coach team members on DevSecOps tools, principles, and processes. Minimum Qualifications 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience. Solid experience with hands on GitLab Experience developing CI/CD pipelines Containerization & Orchestration: Docker – building, securing, and managing container images Kubernetes – deploying, configuring, and securing containerized workloads (even if not an expert, familiarity is important) Infrastructure as Code (IaC): Terraform – provisioning cloud or on‑prem infrastructure Ansible – configuration management, environment automation Cloud Platforms: AWS, Azure or GCP Security Tooling & DevSecOps Practices : SAST/DAST tools Secrets management tools (e.g., HashiCorp Vault, GitLab's secure variables) Build Automation & Runners: GitLab Runner, configuring, scaling, troubleshooting Monitoring & Logging: Prometheus + Grafana – especially common in DevSecOps pipelines ELK stack or OpenSearch – log aggregation Basic observability practices System Administration Adjacent Skills: Linux administration – strong comfort with shell, systemd, processes, permissions Networking fundamentals – DNS, firewalls, routing, certificates/TLS Package management, patching, and server hardening basics Collaboration & Process Tools: Jira or similar workflow/issue tracking tools Confluence or wiki-based documentation Ability to obtain and maintain a DoD Secret clearance (U.S. citizenship required) Preferred Requirements A Secret clearance with the US DoD Experience working in DoD environments Experience with other build servers is a plus (Jenkins, GitHub Actions), but not required Helm – helpful for Kubernetes‑based deployments Dependency and container image scanning tools (e.g., Trivy, Anchore, Clair) Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072 HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to buildyourcareer@hii-co.com and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1-844-849-8463 for assistance. Press #3 for HII Mission Technologies.

SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

SciTec, a Firefly Aerospace company, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions. Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. Applicants that do not meet this requirement will not be considered. We are seeking a Principal Software Engineer to serve as our Deployment Environments Domain Lead. In this role, you will establish repeatable, secure, observable, and reliable practices for building, packaging, deploying, and operating the software that supports our mission critical data processing, visualization, and operational workflows. This role is hands on and combines deep technical work with technical stewardship: you will assess how our teams build and deploy software today, establish evidence-based recommendations, build reference implementations, and work directly with engineers to raise our organization-wide capability. The ideal candidate has deep, production-grade expertise in CI/CD, containerization, and Kubernetes, the ability to evaluate deployment approaches against real workload requirements, and the communication and mentoring skills to turn that expertise into practical guidance that other engineers can adopt independently. Responsibilities: The Infrastructure Principal Engineer will support various infrastructure and compute requirements across multiple locations. This person will have expertise in building and maintaining infrastructure platforms based on technologies such as VMWare, Linux and Windows. They will embody eagerness to create and own processes for enhancing the team and streamlining processes. Assess current build, packaging, and deployment practices, recurring problems, and capability gaps across engineering teams. Define evaluation criteria to select and maintain a Core Collection of recommended deployment technologies, patterns, and practices. Document recommended technologies, valid alternatives, and exceptional cases through decision guides, reference architectures, architecture decision records (ADRs), runbooks, and troubleshooting guides. Build and maintain validated reference pipelines, Helm charts, container images, and starter templates for common deployment use cases. Guide CI/CD pipeline design, automation, artifact management, and reproducible builds. Establish practices for container image construction, dependency management, image optimization, and image security. Guide Kubernetes architecture, scheduling, resource management, and workload orchestration. Establish practices for Helm and other deployment packaging, configuration management, and secrets handling. Improve local and development environments, environment provisioning, and integration testing workflows. Guide deployment strategies, rollback, release promotion, and compatibility management. Establish practices for health checks, observability, resource limits, scaling, resilience, disaster recovery, and software supply-chain security. Partner with engineers through pair programming, design and code reviews, troubleshooting, and focused workshops to support consistent adoption of recommended practices. Collaborate with Data Storage and Workload Communications domain leads on cross-domain problems such as memory pressure, pod restarts, connection saturation, and end-to-end throughput and latency. Coordinate with enterprise infrastructure and platform teams on ownership boundaries for cluster operations, cloud accounts, networking, and infrastructure provisioning. Periodically reassess and update recommendations and documentation as technologies, workloads, and engineering needs change. Track adoption and engineering outcomes against established baselines and report results to engineering leadership. Perform other duties as assigned. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related technical field. 10+ years of professional experience designing, implementing, and troubleshooting production software systems, including significant experience with build and deployment infrastructure. Deep experience with containerization (Docker and/or Podman), including image construction, optimization, and security. Deep production experience with Kubernetes, including resource management, scheduling, and troubleshooting. Experience packaging and deploying workloads with Helm or similar tools. Experience designing and maintaining production CI/CD pipelines (GitLab CI/CD, GitHub Actions, Jenkins). Experience with local Kubernetes environments (e.g., Minikube, KinD) for development and integration testing. Experience with observability, logging, and monitoring for containerized workloads. Demonstrated ability to evaluate technical alternatives, validate them through prototypes or pilots, and clearly articulate their tradeoffs. Proficiency in at least one programming or scripting language such as Python, Go, Bash, or TypeScript/Node.js. Comfortable working in Linux development environments. Strong technical writing, mentoring, and cross-team communication skills, with the ability to influence engineering practices through technical credibility. Ability to obtain and maintain a DoD security clearance. Candidates meeting the following criteria will be preferred Candidates who have any of the following skills will be preferred: Experience leading technology standardization, technical governance, or internal developer platform efforts across multiple teams. Experience with managed Kubernetes (e.g., Amazon EKS) and AWS or Azure cloud environments. Experience with Terraform or other infrastructure-as-code tools. Experience with software supply-chain security (e.g., SBOMs, image signing, vulnerability scanning) and DevSecOps practices. Experience deploying software in restricted, air-gapped, or classified environments. Active DoD Secret clearance or higher. Benefits SciTec offers a highly competitive salary and benefits package, including: 4% Safe Harbor 401(k) match 100% company paid HSA Medical insurance, with a choice of 2 buy-up options 80% company paid Dental insurance 100% company paid Vision insurance 100% company paid Life insurance 100% company paid Long-term Disability insurance 100% company paid Hospital Indemnity insurance Voluntary Accident and Critical Illness insurance Short-term Disability insurance Annual Profit-Sharing Plan Discretionary Performance Bonus Paid Parental Leave Generous Paid Time Off, including Holiday, Vacation, and Sick Pay Flexible Work Hours The pay range for this position is $151,000 - $201,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation. SciTec is proud to be an Equal Opportunity employer. VET/Disabled.

Jd Job Requirements Experience Level Senior About The Role We are seeking a hands-on Cloud Engineer GCP Cloud to own the end-to-end architecture, deployment, and operational resilience of our Google Cloud Platform. In this role, you will act as both a strategic architect and a hands-on builder. You will lead the platform from Day 0 greenfield setup to production-ready infrastructure using Infrastructure as Code establish robust Site Reliability Engineering and observability practices and deploy the foundation powering our Agentic AI Solution Platform. Key Responsibilities Day GCP Architecture Setup Establish enterprise-grade GCP landing zones from scratch, including Organization Structure, IAM, and Security controls. Design and execute core cloud networking: VPCs, Shared VPCs, Firewalls, and Private Service Connect Infrastructure as Code Automation Write, test, and maintain 100% automated infrastructure code using Terraform for reproducible multi-environment setups. Build automated CI/CD pipelines for seamless infrastructure and service deployments. SRE, Observability & Reliability Engineering Establish SRE frameworks from the ground up defining SLIs, SLOs, SLAs, error budgets, runbooks, and automated incident response. Architect full-stack telemetry and observability solutions using Google Cloud Operations Suite along with Prometheus, Grafana, OpenTelemetry or Datadog. Implement custom observability for host, container, and application metrics, including dedicated tracking for LLM performance and agent latency. Design and implement Multi-Zone and Multi-Region architectures with Active-Active/Active-Passive deployment models. Security Identity Management Design and enforce enterprise-grade auth frameworks, including OAuth 2.0, OpenID Connect SAML, and Zero Trust access controls. Required Qualifications Experience GCP Expertise: 6–8+ years designing, operating, and automating production environments on Google Cloud Platform. Proven Track Record: Proven experience leading at least 3 enterprise-scale production projects built on GCP from inception through post-launch management. Terraform Mastery: Deep expertise building complex GCP environments exclusively through custom Terraform modules and automated IaC pipelines. DevOps & Scripting: Proficient in Python, Bash, Docker, and modern CI/CD tools. Certifications: GCP Professional Cloud Architect credential preferred. Work Experience 5-7Years

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.

This is a Kubernetes-heavy Senior Consultant - platform engineering role supporting large-scale, multi-cloud GPU infrastructure. Success requires deep operational judgment, disciplined debugging, strong automation skills, and the ability to protect platform stability while capacity grows rapidly. What You'll Do • Operate Kubernetes platforms at significant scale across providers, including Amazon Elastic Kubernetes Service (EKS), CoreWeave Kubernetes Service (CKS), and Google Kubernetes Engine (GKE). • Own the Kubernetes cluster lifecycle, including node-pool design and management, scheduler troubleshooting, container network interface (CNI) and network-policy troubleshooting, capacity planning, and safe rolling upgrades across large fleets. • Develop, review, and maintain infrastructure as code with Terraform, along with Python tooling and automation that improve reliability, repeatability, and operational efficiency. • Define and maintain service-level indicators (SLIs) and service-level objectives (SLOs); build monitoring and alerting that surface meaningful risks before they affect workloads. • Debug complex distributed-system failures by forming hypotheses, testing them methodically, and separating temporal correlation from causation. • Provision high-performance computing (HPC) and GPU infrastructure through the Conveyor CI/CD system across AWS, CoreWeave, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI), with additional providers as the platform expands. • Coordinate daily with Networking, Storage, Security, and AI/ML platform teams to resolve cross-system dependencies and improve the end-to-end developer and researcher experience. • Bring forward well-reasoned proposals, solutions, and informed opinions; use available tools and resources to self-unblock and drive issues to resolution. What You'll Bring Hands-on Kubernetes experience including node pool sizing, scheduler debugging, CNI troubleshooting, and rolling upgrades across fleets. Strong Terraform proficiency and experience writing and reviewing production infrastructure as code on a daily basis. Practical Python skills for tooling and automation, including the ability to write code without relying on artificial intelligence assistance. Strong critical-thinking and debugging skills, with a disciplined approach to forming hypotheses, validating evidence, and isolating root causes. Ability to read unfamiliar code, understand its behavior, and diagnose issues effectively. Resourcefulness and a consistent ability to self-unblock using documentation, telemetry, code, peers, and available tooling. A proactive working style: you arrive with proposals, formulate solutions, and communicate informed technical opinions. Clear communication and effective collaboration across engineering teams and technical stakeholders. Working knowledge of AWS or similar Cloud services relevant to compute and data-intensive platforms, including Amazon EC2, Amazon S3, Amazon EFS, and Amazon FSx for Lustre. Experience designing or operating CI/CD pipelines and automated infrastructure provisioning workflows. Knowledge of cloud networking, storage, security, observability, reliability engineering, and platform governance. Nice-to-have: Experience using AI coding tools responsibly: you remain accountable for the solution, validate generated code, identify edge cases, and reject unnecessary or incorrect output. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact. What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The target base salary range for Senior Consultant in East Bay, Silicon Valley, and San Francisco is $149,000-$185,000. The target base salary range for Senior Consultant in San Diego, Los Angeles, Orange County, Seattle, Houston, New Jersey, New York City, Westchester, Boston, Washington DC for Senior Consultant is $136,500-$169,500. The target base salary range for Senior Consultant in all other US based Slalom locations is $125,000-$155,500. In addition, individuals may be eligible for an annual discretionary bonus . Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. We will accept applicants until 10/15/2026, or until the position is filled. We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com . Please note, this recipient is not able to support recruitment inquiries beyond this purpose. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

Job Description Job Description Dar Wolf is seeking a Senior Cloud Engineer to join our team. Dark Wolf's Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep understanding of GCP services and technologies, as well as experience in designing and implementing scalable, reliable, and secure cloud solutions. Responsibilities Drive and implement technology solutions on Google Cloud Work with customers, partners, and internal project team members to understand customer business requirements and translate into actionable engineering tasks Develop and maintain infrastructure as code (IaC) using tools such as Terraform Configure and manage GCP services such as Compute Engine, App Engine, Google Kubernetes Engine, Cloud Storage, Cloud SQL, DataFlow, and BigQuery Architect and implement security best practices for GCP solutions using products such as Assured Workloads, Identity-Aware Proxy (IAP), Workload Identity Federation (WIF), Cloud Logging, Cloud Monitoring, and Security Command Center Stay up-to-date on the latest GCP services and technologies and their applicability to the Public Sector space Qualifications Bachelor's degree in computer science or a related field 8+ years of experience in cloud computing 3+ years of experience with GCP 5+ years of experience with one or more programming languages (e.g. Python) Required Certifications: Sec+ and Google Professional Cloud Architect Strong understanding of Google Cloud services and technologies Experience leading technical teams including delegating tasks, reviewing designs and completed tasks by team members, and coaching junior team members Experience designing and implementing scalable, reliable, and secure cloud solutions Experience developing technical architecture documents, driving design decisions, developing documentation artifacts, and presenting technical solutions to clients and executive level leaders Experience with infrastructure automation using IaC tools such as Terraform Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments Excellent communication and teamwork skills Ability to work collaboratively with the broader team as well as independently At least one Google Cloud Professional Certification US Citizenship and active Secret clearance Preferred Qualifications Experience working within Agile teams Experience working with Google Cloud compliance products such as Security Command Center and Assured Workloads Experience ingesting, curating, and transforming raw data into clean, structured formats for data analysis Experience working with customers in the U.S. Public Sector Experience with DoD/DISA cybersecurity policies This role is primarily remote but the candidate must be located within a commutable distance to a Dark Wolf Office. The compensation for this role is estimated to be between $150,000-$170,000, commensurate on experience. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.

GCP Platform Engineer – Enterprise Cloud & AI Platform Role Summary The GCP Platform Engineer is responsible for designing, building, and operating secure, compliant, and scalable cloud and AI-enabled platforms on Google Cloud Platform (GCP). This role enables application, data, and analytics teams by providing standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services while meeting financial services regulatory, security, and resiliency requirements. The engineer partners with the Cloud, Data & AI teams, Information Security, and Risk to ensure AI workloads are deployed with appropriate governance, data controls, and observability. Key Responsibilities Enterprise Cloud & AI Platform Design and maintain enterprise GCP landing zones aligned with NYL governance standards. Build and operate shared cloud services supporting both AI and non-AI workloads. Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement. Support hybrid connectivity and secure data access patterns for AI use cases. Kubernetes, Containers & AI Workloads Engineer and operate GKE clusters for application and AI inference workloads. Enable containerized AI services and microservices using approved base images. Support GPU-enabled workloads where approved. Implement standardized deployment patterns for AI APIs and services. Google AI / GenAI Enablement Experience: 10+ years of experience in cloud, platform, or DevOps engineering. GCP Expertise: Strong hands-on experience with Google Cloud Platform. IaC: Expertise in Terraform and Infrastructure as Code. Harness IACM Containers: Experience operating Kubernetes / GKE Autopilot in enterprise environments. Scripting: Proficiency in Python, Bash, or Go. Security & Networking: Strong understanding of cloud security, IAM, and networking concepts. Governance: Experience working in regulated or highly governed environments. Desired / Preferred Qualifications (AI-Focused) Experience enabling or operating Google AI services, such as: Vertex AI (endpoints, pipelines, monitoring, agentic AI engines, and communication protocols). Gemini APIs or other managed GenAI services

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC." Why join us? An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years) Competitive pay and discretionary or incentive bonus eligible Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few Promote from within culture Why join this team? This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business We hold ourselves accountable to high standards, share wins, operate ethically, and have fun Position Overview We are seeking a skilled and motivated Senior Azure Cloud Engineer to design, implement, manage, and optimize cloud-based solutions within Microsoft Azure. This individual will join our growing IT Infrastructure Operations team and will partner closely with the Cloud Architect and other technology teams to maintain secure, scalable, and reliable cloud infrastructure while driving automation, cloud governance, and modernization initiatives. The Senior Azure Cloud Engineer will be responsible for supporting and enhancing the organization's Azure environment through cloud engineering best practices, Infrastructure as Code (IaC), DevOps automation, performance optimization, and resiliency planning. In addition to hands-on engineering responsibilities, this role will serve as a senior technical resource for the team, providing mentorship and technical guidance to existing cloud and Microsoft 365 team members to help mature internal cloud capabilities. This is full time, hybrid role based at our corporate headquarters in Rosemont, IL, reporting to the Principal System Engineer Manager. What You'll Do Cloud Infrastructure Management Design, deploy, and maintain Azure cloud infrastructure. Partner with peers to implement and manage Azure Virtual Machines, Virtual Networks, Load Balancers, and Storage Accounts. Configure and support Azure Platform as a Service (PaaS) offerings. Monitor cloud resource utilization and optimize performance and costs. Security & Cloud Governance Implement and maintain Azure security best practices and cloud governance standards. Administer Microsoft Entra ID/Azure Active Directory, Role-Based Access Control (RBAC), and identity access management. Identify, monitor, and remediate cloud security vulnerabilities. Help ensure appropriate controls, policies, and standards are incorporated into the Azure environment. Automation & DevOps Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and Bicep. Build and support automated deployments using Azure DevOps and CI/CD pipelines. Develop scripts and automation using PowerShell, Azure CLI, and/or Python. Monitoring, Troubleshooting & Production Support Configure Azure Monitor, Log Analytics, and Application Insights. Troubleshoot complex infrastructure, networking, cloud, and application issues. Provide Tier 2 and Tier 3 support for Azure-related incidents and service requests. Participate in on-call support rotations as required. Disaster Recovery & Business Continuity Implement and maintain backup and recovery solutions using Azure Backup and Azure Site Recovery. Perform disaster recovery testing and validation. Develop and improve high-availability, resiliency, backup, and recovery strategies for cloud-based systems. Collaboration, Mentorship & Technical Leadership Partner closely with application, security, network, infrastructure, and operations teams. Work with the Cloud Architect to implement and mature the organization's Azure cloud strategy. Provide technical guidance and recommendations related to Azure infrastructure and cloud engineering. Mentor and train team members, including existing cloud and Microsoft 365 staff, to strengthen internal cloud engineering capabilities. Qualifications 3-5+ years of experience. Extensive hands-on experience designing, deploying, administering, and supporting Microsoft Azure environments. Strong knowledge of Azure infrastructure services, including Virtual Machines, Virtual Networks, Load Balancers, Storage Accounts, and PaaS offerings. Experience with Infrastructure as Code (IaC) using Terraform and/or Bicep. Proficiency with Azure DevOps, CI/CD pipelines, and automation scripting using PowerShell, Azure CLI, and/or Python. Strong understanding of Microsoft Entra ID (Azure AD), RBAC, cloud security, governance, and compliance best practices. Demonstrated ability to collaborate across technical teams while providing mentorship, technical leadership, and knowledge transfer. Experience supporting enterprise cloud migration and modernization projects. Microsoft Azure certifications (AZ-104, AZ-305, or comparable certifications). Benefits Medical Insurance Dental Vision Life insurance Accidental death and dismemberment Short-term and long-term Disability Insurance Parental Leave Employee Assistance Program (EAP) Traditional and Roth 401(k) with company match Flexible Spending Account (FSA) Employee Stock Purchase Plan at 5% discount Critical Illness Insurance Accident Insurance Transportation and Commuting Benefits Banking Benefits Pet Insurance Compensation The estimated salary range for this role is $100,000.00 - $132,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience. From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Job Type Full-time Description Soleo Health is seeking a Senior Azure Cloud and Network Engineer to take full ownership of our Azure platform and hybrid connectivity, and to set the technical standards the rest of the organization builds against. Join us in Simplifying Complex Care! Soleo Health Perks: Competitive Wages 401(k) with a Match Referral Bonus Paid Time Off Great Company Culture Annual Merit Based Increases Paid Parental Leave Options Affordable Medical, Dental, & Vision Insurance Plans Company Paid Disability & Basic Life Insurance HSA & FSA (including dependent care) Options Education Assistance Program The Position: The Senior Azure Cloud & Network Engineer is responsible for owning the organization's Microsoft Azure platform and hybrid connectivity end to end, including architecture, networking, automation, security, cost, and reliability, and setting the engineering standards the rest of the organization builds against. This is a senior, hands-on individual contributor role with enterprise-wide responsibility for the Azure infrastructure supporting business-critical healthcare applications, data platforms, and integrations. The ideal candidate has both designed an Azure environment from the ground up and owned its ongoing administration, security, and optimization over time. This position reports to the Infrastructure and DevOps Manager and partners closely with Software Engineering, Security, Data Platform, Enterprise Applications, Finance, and external technology providers. Responsibilities Include: Architect and administer Azure infrastructure across compute, networking, storage, and identity using Terraform or Bicep as the source of truth, owning it through the full lifecycle after implementation. Serve as Soleo Health's primary technical owner for Azure, including the landing zone (management groups, subscriptions, Policy, RBAC, naming/tagging) and Entra ID integration. Design, administer, and troubleshoot Azure networking and hybrid connectivity, VNets, NSGs, Firewall, App Gateway, Load Balancer, Private Link, VPN Gateway, ExpressRoute, DNS, and hub-and-spoke, across Azure, corporate sites, hosted environments, and partners. Build and maintain CI/CD pipelines (Azure DevOps or GitHub Actions) and reusable IaC modules, with automated drift remediation and compliance checks. Lead reliability engineering: SLOs, observability via Azure Monitor and Log Analytics, incident response, root-cause analysis, and postmortems, including leading resolution of complex incidents across internal teams and vendors. Oversea cloud cost governance, rightsizing, reservations, tagging, forecasting, and anomaly detection, partnering with IT management and finance to explain variances and evaluate architecture tradeoffs. Partner with security on hardening and HIPAA/HITRUST/SOC 2 compliance; own the design and regular testing of backup, disaster-recovery, and business-continuity plans. Evaluate new Azure services and architecture patterns and provide technical direction to managed-service providers and other vendors, holding them to contractual service levels. Mentor engineers, review designs and pull requests, and communicate infrastructure risks, tradeoffs, and recommendations to technical and executive stakeholders. Schedule: Monday-Friday 8am-5pm Remote (USA) Requirements 8+ years of progressive experience in cloud infrastructure, network engineering, platform, DevOps, or SRE, including 5+ years hands-on with Microsoft Azure. Proven ownership of a production Azure environment across its full lifecycle — design, implementation, administration, security, reliability, and cost. Deep expertise with core Azure services: VNets, App Gateway, Load Balancer, Private Link, Storage, VMs, Firewall, VPN Gateway, ExpressRoute, DNS, SQL, Entra ID, and Key Vault. Advanced networking knowledge: TCP/IP, DNS, TLS, routing, firewalls, segmentation, zero trust, and hybrid-cloud connectivity. Production infrastructure-as-code experience (Terraform and/or Bicep), including module design, state management, and drift remediation. Scripting and automation in PowerShell, Python, plus Azure CLI. Demonstrated on-call ownership, complex incident leadership, and coordination across teams and providers. Experience with cost management/FinOps, DR/BC design and testing, and directing MSPs or infrastructure vendors. Strong remote, cross-time-zone communication skills, including presenting risk and tradeoffs to senior leadership, and the ability to operate independently with limited specialist backup. About Us: Soleo Health is an innovative national provider of complex specialty pharmacy and infusion services, administered in the home or at alternate sites of care. Our goal is to attract and retain the best and brightest as our employees are our greatest asset. Experience the Soleo Health Difference! Soleo's Core Values: Improve patients' lives every day Be passionate in everything you do Encourage unlimited ideas and creative thinking Make decisions as if you own the company Do the right thing Have fun! Soleo Health is committed to diversity, equity, and inclusion. We recognize that establishing and maintaining a diverse, equitable, and inclusive workplace is the foundation of business success and innovation. We are dedicated to hiring diverse talent and to ensuring that everyone is treated with respect and provided an equal opportunity to thrive. Our commitment to these values is evidenced by our diverse executive team, policies, and workplace culture. Soleo Health is an Equal Opportunity Employer, celebrating diversity and committed to creating an inclusive environment for all employees. Soleo Health does not discriminate in employment on the basis of race, color, religion, sex, pregnancy, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an organization, parental status, military service or other non-merit factor. Keywords: Now hiring, hiring now, hiring immediately, immediately hiring Salary Description $90k-$120k

AWS Cloud 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: AWS Cloud Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 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 AWS Cloud Engineer to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep DevOps fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business. 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 AWS in production environments Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, and CloudFormation Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation Solid experience designing and operating Amazon EKS or ECS clusters at scale Hands-on experience with CI/CD pipelines across infrastructure and application workloads Strong scripting skills in Python and Bash, with familiarity in Go or PowerShell considered a plus Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements Experience implementing observability, monitoring, and alerting in cloud-native environments Strong troubleshooting, communication, and documentation skills Preferred Qualifications AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification Experience with multi-account AWS Organizations and centralized governance Familiarity with service mesh, eBPF-based observability, and zero-trust networking Exposure to FinOps practices and well-architected cost-optimization frameworks Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP) How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899 . 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 GxW2RBxOnK