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Cybersecurity Analyst Who we are: Creyos (formerly Cambridge Brain Sciences) is a leading growth-stage B2B SaaS HealthTech company. Our proprietary brain health tools, including digital cognitive assessments and mental health questionnaires, are used by healthcare practitioners treating mental health conditions, brain injuries, aging, and other patient populations throughout the world, as well as by leading researchers. To learn more about our organization, please visit www.creyos.com . You will be part of a team that includes not just your typical SaaS business functions (Sales, Marketing, Customer Success), but also engineers, psychologists, business leaders, and even a world-renowned neuroscientist. We are proud to say that you will be surrounded by some of the smartest, enthusiastic, hard working and dedicated people that you?ll ever meet (at least, that we?ve ever met!). Who we are looking for: At Creyos, we understand that solving big challenges demands unwavering resilience and determination. We don?t stop until we achieve our goals. People who thrive at Creyos are driven, curious, hardworking, and enthusiastic about scaling a company - along with having a good sense of humor. If this resonates with you, we?d love to hear from you! We are looking for a Cybersecurity Analyst to join our team to drive the implementation of compliance and information security initiatives, and ensure our business practices meet the requirements of industry standards. This role will support our team as our on-site cybersecurity point of contact for IT support, hardware asset management, and physical security. This is an in-person role located at our Toronto office. What you will be doing: As a Cybersecurity Analyst at Creyos, you will: Perform vulnerability/risk assessments and control testing across applications, networks, and infrastructure to remediate vulnerabilities and support secure software deployments. Lead initial triage, resolution, and escalation for security incidents and support requests while monitoring the latest advisories, alerts, and regulatory changes. Drive physical and technical security assessments, lead audit evidence collection/inquiries, and deliver remediation reports to key stakeholders. Develop, recommend, and maintain security policies, standard operating procedures (SOPs), and operational runbooks. Administer end-to-end identity lifecycles (provisioning, offboarding, and role-based access control) grounded in least-privilege principles. Maintain complete oversight and lifecycle inventory of all hardware assets. Deliver security-centric on-site IT support, including network hardening, hardware setup, account provisioning, and troubleshooting. Mentor team members and drive internal knowledge sharing through technical presentations and documentation. The skills and experience we are looking for: 1-3 years professional work experience in information security; Working knowledge of collaboration tools such as JIRA and Confluence; Understanding of core security concepts: least privilege, access control, incident handling, and asset lifecycle management; Ability to configure, implement, and maintain security tools as well as the configuration of data sources for metric reporting/tracking; Experience with security tools and methodologies for conducting vulnerability and application security assessments; Ability to analyze IT solutions and technology infrastructure to identify and assess security vulnerabilities, threats, and risks; Understanding of industrial frameworks such as NIST, SOC 2, or similar compliance frameworks;</

About Citylitics Inc. Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together. Who Are We Looking For? We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running. This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI. Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply. This is a hybrid role based out of Citylitics? Toronto office and requires 3+ days in-office per week. What Will You Accomplish? / How You Will Make An Immediate Impact: Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build. Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them. AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and func

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.