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Ciq Overview CIQ builds the enterprise infrastructure that powers the world's most demanding workloads. From the operating system layer through AI infrastructure, high-performance computing, and cloud-native orchestration, CIQ delivers the speed, security, scalability, and sovereignty that major enterprises, government agencies, and research institutions depend on. CIQ is the founding support and services partner of Rocky Linux and the developer of the RLC Pro family of Enterprise Linux distributions, Fuzzball workload orchestration, Warewulf Pro cluster provisioning, and Ascender Pro automation. Our customers include some of the largest and most technically sophisticated organizations in the world, working across HPC, AI/ML, defense, and regulated industries. We are a company of builders, operators, and open source practitioners. If you want to do work that matters, at a company that is genuinely changing how enterprise infrastructure gets built and run, we want to talk. Position Summary As a Principal Kubernetes Engineer, you will work within the Engineering department to design, develop, and support enterprise Kubernetes solutions by contributing to the products and infrastructure for CIQ. You will also maintain our systems' capacity and performance. You need to be able to troubleshoot and improve applications and processes. You'll analyze current code and industry developments to design engineering solutions to solve problems and create seamless user experiences. Additional responsibilities include, but are not limited to: Leading and participating in architecture-level discussions, planning, and implementation. Researching to ensure that what we are building is always the best path forward. Documenting projects to share knowledge and facilitate integration for users. Driving proof of concepts and minimum viable products for demonstration. Supporting multiple services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews. Improving products by collaborating with Engineering teams, Product teams, Sales teams, and open-source communities (as needed) on optimal and relevant solutions while sharing knowledge. Designing and guiding solutions by filling the gap in ambiguous requirements. NEEDED TO SUCCEED Successful Candidates Will Have An understanding of Linux and Cloud infrastructure. Deep, hands-on expertise with Kubernetes and the cloud-native ecosystem (operators and custom controllers, CRDs, Helm, the API machinery), plus strong Go, Pulumi, and related engineering tools. A demonstrated mastery of Linux and cloud(AWS/Azure/GCP). The ability to pivot to new challenges in a fast-paced startup environment. Expertise in deriving solutions from high-level or incomplete requirements. Strong problem-solving skills and an eagerness to learn. Excellent verbal and written communication skills. The ability to work independently and collaboratively in a remote team environment. A friendly, collaborative, humble, honest, and always striving-to-be-better attitude. Flexibility to support an on-call rotation. Education And Experience A Bachelor's degree in Computer Science or a similar field. At least 10 years of software and infrastructure engineering experience, with deep expertise designing, building, and operating production Kubernetes and Go services at scale. A demonstrated mastery of Linux and cloud(AWS/Azure/GCP). Experience building Kubernetes operators, custom controllers, or a Kubernetes distribution is a plus. Benefits Medical, dental, and vision insurance. Flexible paid time off. Employee stock options. Remote work; no travel required for most positions.

Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

We are seeking 4 experienced Senior GCP Cloud DevOps Engineers (US) with deep expertise in Google Cloud Platform (GCP), Terraform, Infrastructure as Code (IaC), and DevOps practices. The ideal candidate will be responsible for designing, building, automating, and managing enterprise-scale GCP cloud infrastructure while ensuring security, scalability, reliability, and operational excellence. Responsibilities Design, develop, and maintain reusable Terraform modules for enterprise cloud environments. Implement Infrastructure as Code (IaC) best practices across development, testing, staging, and production environments. Provision and manage GCP infrastructure using Terraform and automation frameworks. Build complete cloud environments from scratch using GCP services and infrastructure automation. Design, deploy, and manage cloud-native solutions leveraging GCP services. Configure and maintain Cloud Run, BigQuery, Cloud Storage, Firestore, IAM, Secret Manager, and Load Balancing services. Develop and maintain CI/CD pipelines for infrastructure and application deployments. Experience in GCP-native data platforms (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer Implement infrastructure versioning, automated code reviews, governance controls, and deployment strategies. Ensure platform reliability, scalability, high availability, and disaster recovery readiness. Configure and manage networking components including VPCs, Subnets, Firewall Rules, Private Connectivity, DNS, and SSL Certificates. Manage Identity and Access Management (IAM), Service Accounts, and security controls. Implement monitoring, alerting, logging, and observability solutions using Cloud Monitoring and related tools. Experience building APIs and data connectors (Python, Cloud Functions, Cloud Run) that serve downstream applications or AI/ML systems Proficiency with IaC (Terraform) and CI/CD (Cloud Build, GitHub Actions, or equivalent) for pipeline deployment Experience with GCP IAM, VPC networking, and container platforms (GKE, Cloud Run) Troubleshoot production issues and execute root cause analysis for critical incidents. Develop operational runbooks, architecture documentation, and support procedures. Collaborate with Data Engineering and AI/ML teams to build secure and scalable data and AI platforms. Support infrastructure required for Vertex AI Agent Engine, Vertex AI Search, Model Armor, and AI-driven workloads. Implement security, compliance, and governance standards across cloud environments.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups. Our Culture Who We Are Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500. How We Work We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally. Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission. Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration. We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships. About The Role As a DevOps Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting-edge AI agents and enterprise software development platform. Based out of our Cambridge, MA headquarters, you'll architect and maintain the scalable, resilient systems that enable Blitzy to autonomously deliver production-ready software at unprecedented speed. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build. Responsibilities Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments. Design and implement robust CI/CD pipelines for both application services and AI-driven workflows. Automate infrastructure provisioning, scaling, and operations using Python and Terraform. Deploy and maintain applications via Helm charts, ensuring consistency across environments. Own the observability stack: alerting, distributed tracing, and monitoring for all production services and APIs. Build and maintain infrastructure for AI agent orchestration, enabling reliable and high-throughput agent execution. Partner closely with engineering teams to improve developer experience, deployment strategies, and operational tooling. Maintain and continuously improve the security, reliability, and cost-efficiency of our cloud environments. Qualifications 5+ years of DevOps or infrastructure engineering experience in production environments. Deep expertise in Kubernetes including deployment, scaling, networking, and troubleshooting. Strong Python proficiency for automation, scripting, and tooling. Hands-on experience with Helm for application package management. Proven track record designing and maintaining CI/CD pipelines. Experience with major cloud platforms (GCP, AWS, or, Azure). Proficiency with Terraform for Infrastructure as Code. Strong Linux administration skills and containerization expertise (Docker). Compensation: $160,000-$230,000 + Bonus +Equity Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger. Base salary ranges are determined by country, role, level, experience, and skills. The range displayed on each job posting reflects Blitzy's good faith determination of the minimum and maximum targets for new hire salaries across all locations. Individual pay is determined by related factors, including job skills, experience, and relevant education or training, which may impact a final offer. Your Talent Partner can share more about the specific salary range during the hiring process

Wer wir sind und was wir suchen Ob die Energiewende gelingt, entscheidet sich nicht allein an Technologien, sondern an Kosten, Märkten und politischen Weichenstellungen. Genau dazu arbeitet das Energy Lab des Dezernat Zukunft – und um unsere Arbeit weiter zu vertiefen, suchen wir Dich. Das Dezernat Zukunft ist ein überparteilicher Berliner Think Tank an der Schnittstelle von Politik, Verwaltung und Forschung. Rund 30 Personen verfolgen gemeinsam das Ziel, Geld-, Finanz- und Wirtschaftspolitik neu zu denken und verständlich zu vermitteln. Geleitet von den Werten Würde, Wohlstand, Demokratie und Nachhaltigkei t suchen wir zum nächstmöglichen Zeitpunkt – idealerweise ab dem 1. Januar – für unser Energy Lab eine Person als (Senior) Economist für Energiemärkte. In dieser Position konzipierst Du Analysen und Studien zu Energiemärkten – insbesondere zum Strommarkt – und führst sie eigenständig durch. Dabei betrachtest Du Energiekosten, Investitionsbedarfe, Gesamtsystemkosten sowie die Wechselwirkungen politischer Instrumente mit diesen Größen. Im Mittelpunkt stehen die Fragen, wie sich Energiepolitik mit Wettbewerbsfähigkeit, Nachhaltigkeit und Bezahlbarkeit zusammendenken lässt, wie Energiekosten strategisch und gezielt gesenkt werden können, und wie das regulatorische Umfeld so ausgestaltet werden kann, dass es den Erfolg der "zweiten Hälfte der Energiewende" und damit die Erreichung der Klimaneutralität ermöglicht. Deine Aufgaben Du analysierst Energiemärkte und -preise, einschließlich Systemkosten, und koordinierst dazu Forschungsprojekte . Dabei betrachtest Du auch fiskalpolitische Auswirkungen sowie Wechselwirkungen mit dem Stromnetzausbau. Du entwickelst konkrete Politikvorschläge, Analysen und Positionen zu den oben genannten Themen , in enger Zusammenarbeit mit Deinen Kolleg:innen im Energy Lab des Dezernat Zukunft sowie den weiteren Teams der Organisation. Außerdem organisierst Du Expert:innen-Gespräche und andere inhaltliche Veranstaltungen. Du interagierst aktiv mit Vertreter:innen von Parlamenten, Regierungen, Wissenschaft, Wirtschaft und Medien . Unsere Arbeit funktioniert nur dann, wenn wir mit diesen Gruppen im Austausch stehen, zuhören und zusammenarbeiten. Das bieten wir Eine Vergütung in Anlehnung an den Tarifvertrag des öffentlichen Dienstes (TVöD): Eingruppierung in Entgeltgruppe E 13 – abhängig von Deiner Erfahrung – inkl. Jahressonderzahlung und 30 Urlaubstagen. Aktive Unterstützung bei Deiner Weiterentwicklung – fachlich sowie in Bezug auf Kompetenzen, Netzwerke und Aufgaben. Einen Arbeitsplatz in Berlin-Mitte mit der Möglichkeit zum mobilen Arbeiten und gemeinsam vereinbarten Kernzeiten. Unbürokratische, verständnisvolle Regelungen bei kurzfristigen Care-Bedarfen; bezahlte Freistellung nach § 29 TVöD bei persönlichen Anlässen (z. B. kranke Kinder). Einen Zuschuss zum Deutschlandticket oder JobRad. Und nicht zuletzt: Ein dynamisches,motiviertes Team, gemeinsame Events (z. B. Berg- oder Paddel-Ausflüge) und Arbeit, die zählt. Dein Profil Du teilst unsere Werte und Ziele , begeisterst Dich für Energie- und Klimapolitik und brennst dafür, dass die Transformation gelingt. Du hast einen Master-Abschluss in einem relevanten Fachgebiet sowie mindestens zwei Jahre einschlägige Berufserfahrung. Du kennst Dich in Energiemärkten – insbesondere im Strommarkt – aus, verstehst politische Instrumente und erkennst, welche Zahlen für politische Entscheidungen und ökonomische Weichenstellungen wirklich zählen. Du konzipierst und erstellst eigene Analysen – quantitativ wie textlich – selbstständig und gründlich. Du hast bereits erfolgreich Forschungsprojekte umgesetzt und Ergebnisse sowie politische Handlungsempfehlungen prägnant kommuniziert. Du bist Dir bewusst, dass unsere Analysen und Vorschläge in der Öffentlichkeit intensiv geprüft werden, und arbeitest entsprechend gewissenhaft und bist bereit, als Eigentümer:in für Deine Projekte einzustehen. Du kommunizierst sehr gut in deutscher und englischer Sprache und verfasst in beiden Sprachen anspruchsvolle, gut verständliche Texte. Du hast fortgeschrittene Kenntnisse in der praktischen Anwendung gängiger KI-Programme. Du willst den Dingen auf den Grund gehen und jeden Tag dazulernen. Noch wichtiger als mitgebrachtes Wissen ist für uns die Fähigkeit, es zu erweitern und Meinungen zu ändern. Du arbeitest gern im Team, hörst zu und unterstützt und förderst Deine Kolleg:innen. Die perfekte Kandidat:in erfüllt nicht immer jede Anforderung. Wenn Du glaubst, dass Du zu uns passt – bewirb Dich gern trotzdem und sag uns, warum. Beschäftigungsbeginn & Vertragsbedingungen Beginn: Von uns aus so schnell wie möglich. Im Anschluss an das Bewerbungsverfahren rechnen wir mit einem Start im Januar 2027. Das genaue Startdatum ist verhandelbar. Umfang: 32–39 Stunden/Woche (flexibel je nach Deiner Verfügbarkeit). Befristung: zunächst 1 Jahr (Entfristung nach zwei Jahren angestrebt). Bewerbungsverfahren Bitte bewirb Dich online mit Lebenslauf und einem kurzen Anschreiben, das Deine Eignung entlang der oben genannten Kriterien zeigt. Bitte teile uns auch mit, wie Du auf die Stelle aufmerksam geworden bist und welche Wochenarbeitszeit Du bevorzugen würdest. Bewerbungsfrist: 08. November 2026 Das Bewerbungsverfahren besteht aus drei Runden: im ersten Schritt einem Assessment-Test, der aus einer schriftlichen Aufgabe besteht und ca. 1-2 Stunden Arbeitszeit beansprucht; anschließend ein längeres Gespräch bei uns vor Ort im Büro und einem abschließenden Gespräch mit unserem Head of Energy Lab – Janek Steitz. Wir schätzen Vielfalt und möchten die Diversität unseres Teams fördern. Bewerbungen sind willkommen – unabhängig von Geschlecht, Nationalität, kultureller oder sozialer Herkunft, Religion, Weltanschauung, Alter sowie sexueller Orientierung und Identität. Kontakt / Rückfragen Du findest die Rolle spannend, weißt aber nicht, ob sie etwas für Dich ist oder ob Du gut ins Dezernat und zu den Anforderungen passen würdest? Sprich mit uns! Hierfür kannst Du Felix Heilmann – Programmleitung Energiepolitik – direkt per E-Mail kontaktieren Find Jobs in Germany on Arbeitnow

We are looking for a Cloud Engineer with 8+ years of experience in a Microsoft/Azure environment. You will be involved in a number of greenfield projects that will help our client to continue to grow. This is a hybrid role and will require you to be onsite 3-4 days/week either in El Segundo or Century City (your choice choice). Cloud Infrastructure & Architecture: Design, build, and manage secure, scalable Azure infrastructure supporting Microsoft 365, Entra ID, Intune, networking, and data platforms such as Databricks, Microsoft Fabric, SQL, and cloud storage. Requires hands-on implementation, infrastructure-as-code, and production support experience. AI & Automation: Evaluate and deploy AI tools for IT operations, monitoring, reporting, and incident triage. Build automation using scripting languages like PowerShell, Python, and Microsoft Graph API to streamline onboarding, provisioning, and compliance workflows, with measurable goals for reducing manual workload. Networking, Security & Endpoints: Own multi-site network architecture, including firewalls, switches, VLANs, wireless, and VPN. Manage identity and access controls, Conditional Access, MFA, DLP, Intune device compliance, patching, and audit readiness in partnership with security and compliance teams. Technical Leadership & Requirements: Provision and secure cloud resources for data and analytics workloads, integrate systems, establish infrastructure standards, and drive AI adoption and modernization initiatives. Requires 8+ years of progressive IT/cloud infrastructure experience, strong Azure, scripting, automation, networking, and security experience.

Forrest T. Jones & Company, Inc., and its affiliates ("FTJ"), provide insurance and insurance related services to clients, corporations, employers, and individuals. These services include providing benefits through innovative life and health insurance plans, financial services, and customized insurance products for niche markets. Position Summary Responsible for building, automating, and operating cloud-based infrastructure and applications; delivering changes through infrastructure as code and CI/CD pipelines; monitoring system reliability and responding to incidents; and building tools that automate repetitive tasks to minimize errors and prevent downtime. Expectations Manage and maintain Microsoft Azure services to include Entra ID, Azure networking, Azure Data Factory, etc. using infrastructure as code (Terraform) Build and maintain Azure DevOps CI/CD pipelines for infrastructure, internal and third-party application deployments Implement monitoring, alerting, and service level objectives (SLOs) across the Azure environment Participate in incident response and post-incident reviews for production systems Maintain company's security standards in the Azure ecosystem Create system diagrams, runbooks, and documentation as needed Provide Tier 3 operational support as needed Perform other duties as assigned Competencies Excellent interpersonal and communication skills Strong team building/support skills Strong troubleshooting, problem solving, and analytical skills Self-motivated and self-directed Automation-first mindset focused on reliability and continuous improvment Requisites Bachelor's Degree, University Program Certificate or equivalent combination of education and experience Minimum of one IT industry certification, e.g., Azure Administrator, Azure DevOps Engineer Expert, HashiCorp Terraform Associate, etc. Two or more years' experience in a cloud infrastructure, DevOps, or SRE role in an enterprise environment, including scripting in PowerShell, Bash, or Python. We offer comprehensive benefits to full-time employees including company-paid medical, STD, LTD and life insurance plus voluntary dental, vision, life/AD&D insurance, 401(k) with company matching, generous paid time off and much more. We encourage applicants of all ages and experience, as we do not discriminate on the basis of an applicant's age. ALL OFFERS OF EMPLOYMENT ARE CONTINGENT UPON THE PASSING OF A DRUG SCREEN AND BACKGROUND CHECK.

Azure 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: Azure Cloud Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 12+ 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. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical discipline 12 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 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 2jFjnl8vKv

Centurion is looking for an AWS Cloud Engineer with a Top-Secret clearance for a onsite role in San Antonio, TX. We are seeking an experienced AWS Cloud Engineer to design, implement, automate, and support secure, scalable, and highly available cloud infrastructure within Amazon Web Services (AWS). The ideal candidate will have hands-on experience managing AWS environments, building Infrastructure as Code (IaC), supporting automated deployments, troubleshooting cloud infrastructure, and partnering with development, security, and operations teams. This individual should be comfortable taking ownership of cloud solutions from design through deployment and ongoing operational support. Key Responsibilities Design, deploy, configure, and maintain cloud infrastructure within AWS. Build and support AWS environments using services such as EC2, S3, VPC, IAM, EBS, RDS, Lambda, and CloudWatch. Design and maintain AWS networking, including VPCs, subnets, routing, security groups, and related network controls. Develop and maintain Infrastructure as Code (IaC) using Terraform and/or AWS CloudFormation. Automate infrastructure provisioning, configuration, deployment, and operational processes. Build, maintain, and troubleshoot CI/CD pipelines using tools such as GitLab, Jenkins, or similar technologies. Manage infrastructure code using Git-based source control, including branching, merging, code reviews, and version management. Support Linux-based cloud environments and troubleshoot operating system, networking, application, and infrastructure issues. Implement cloud monitoring, alerting, logging, and performance optimization. Apply AWS security best practices related to identity and access management, networking, data protection, and cloud workloads. Support containerized workloads using Docker, Kubernetes, ECS, and/or EKS. Partner with DevOps, application development, cybersecurity, architecture, and operations teams to deliver reliable cloud solutions. Identify opportunities to improve scalability, reliability, security, availability, and automation. Support disaster recovery, high availability, and business continuity objectives. Maintain technical documentation covering cloud architecture, configurations, processes, and operational procedures. Required Qualifications 10+ years of experience with a Masters Hands-on experience with core AWS services such as EC2, S3, VPC, IAM, RDS, Lambda, and CloudFormation. Experience developing and deploying infrastructure using Terraform or similar IaC technologies. Experience with Linux administration and troubleshooting. Understanding of cloud networking, including subnets, routing, security groups, DNS, and connectivity. Experience with Git and source-control workflows. Familiarity with CI/CD pipelines and automated infrastructure/application deployments. Scripting or automation experience using Python, Bash, or similar languages. Understanding of AWS cloud security principles and best practices. Strong troubleshooting, analytical, documentation, and communication skills. Open to US Citizens that hold an active TS Clearance. This role is in San Antonio, TX.

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: 10+ 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 Ten 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 l9pon0tfdI

Job Number: R0252608 AWS & Databricks Cloud Platform Engineer, Senior The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows how. As a cloud computing infrastructure architect, you know how to take advantage of cloud capabilities. On our team of experienced professionals, you'll use cutting-edge enterprise cloud platforms to support your clients as they modernize their IT infrastructure and meet their most challenging missions. We're looking for someone like you to help support national security. You'll closely collaborate with fellow cloud architects and engineers specializing in AWS GovCloud to develop cloud solution components. You'll have the chance to work within a DevOps framework to create and manage container apps and use products like Kubernetes to further the mission. With access to our internal AWS, you'll have the space and time to explore different ways of solving our clients' problems, and you'll partner with stakeholders and your team to deliver the right technical solutions. Whether modernizing legacy computing platforms and applications or creating new ones from scratch, you'll have the latest tech and brightest teammates at your fingertips. Grow your skills at the leading edge of innovation. Join us. The world can't wait. You Have: 5+ years of experience engineering and operating cloud infrastructure within AWS environments Experience designing, implementing, and maintaining Infrastructure as Code (IaC) using tools such as Terraform or Ansible Experience deploying and supporting cloud networking solutions, including VPCs, routing, security groups, private connectivity, and network segmentation Experience building and maintaining CI/CD pipelines for infrastructure deployment, validation, testing, and release management Experience implementing Identity and Access Management (IAM) controls and cloud security best practices using least-privilege principles Experience troubleshooting and optimizing cloud platform performance, availability, scalability, and operational resilience Knowledge of Windows, Linux, and Cloud technologies TS/SCI clearance with a polygraph HS diploma or GED Nice If You Have: Experience creating and improving continuous automation across infrastructure, platform, and application technology stacks Experience deploying and operating containerized workloads using AWS EKS, Kubernetes, Docker, OpenShift, or Helm Experience working with modern DevOps toolchains, including Git, GitLab, and Terraform Knowledge of cloud-native architectures and modernization frameworks supporting enterprise platform transformation Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical field AWS DevOps Engineer, AWS SysOps Administrator, Azure DevOps Engineer, Red Hat Certified Engineer (RHCE), or similar industry certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.