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Mission GroqMetal is building the infrastructure platform that turns large-scale physical compute into a reliable, isolated, customer-consumable AI infrastructure. This is a hands-on Senior Staff role: you will write production software as part of a software engineering team. You will lead the design of a Kubernetes-based software platform focused on large-scale AI training and inference workloads. You will be a key technical leader in building the systems that turn cutting-edge physical infrastructure into a stable product. Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens. Responsibilities & Opportunities In This Role Design and build core Groq platform systems: APIs, controllers, operators, reconciliation loops, and infrastructure abstractions. Remain deeply hands-on: Write, review, test, debug, and operate substantial production code while providing Senior Staff technical leadership. Embrace the market: Leverage Kubernetes to build a commercial product for AI infrastructure, delivering production-grade Kubernetes services for dedicated customers running large-scale AI training and inference workloads. Build a system, not just deploy technology: Apply distributed-systems principles to partial failure, retries, concurrency, consistency, idempotency, availability, and recovery. Design for stability and robustness: Design stable platform APIs and contracts that decouple the customer experience from changes in backend infrastructure. Collaborate with a team of experts: Work across infrastructure, inference, networking, infosec, and other teams to turn ambiguous platform needs into production systems. Ideal Candidates Have/are Experienced software engineers first: Strong experience designing, implementing, testing, shipping, and maintaining production software. Deep Kubernetes platform engineering experience: Experience with operators/controllers, CRDs, admission control, node lifecycle, cluster services, and production-grade platform design. Strong distributed-systems expertise: Practical experience reasoning about CAP, consensus, leader election, eventual consistency, state reconciliation, fault domains, and recovery. Experience developing infrastructure software: Experience working through a robust SDLC, including design review, automated testing, CI/CD, staged rollout, rollback, observability, and incident learning. Experience delivering Kubernetes as a Service: Practical knowledge and experience gained from delivering Kubernetes, cloud infrastructure, or infrastructure control planes as a commercially critical or externally consumed product is highly valued, but not required. Hands-on experience using coding agents: Experience using tools such as Codex, Claude Code, or similar systems/harnesses in substantive engineering work is highly valued; real-world practice matters more than commercial deployment. Steeped in the domain: Experience at a hyperscaler or neocloud supporting AI workloads or commercializing GPU clusters, with a strong understanding of the operational and product challenges of large-scale accelerator infrastructure. Comfort with ambiguity: Experience with inference platforms, accelerator/GPU infrastructure, device plugins, cloud infrastructure, or customer-facing platform products. Why Join Us Purposeful Hiring: You're not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters. Builders Wanted: You're not just riding the rocket ship, you're building it. Your work directly shapes the trajectory of our company. Mission-Driven Work: We're here to make a real impact. Our mission fuels everything we do. Tackling Hard Problems: If easy isn't your thing, you're in the right place. We solve some of the most complex and exciting challenges in our space. Excellence Is The Standard: High performance isn't just encouraged, it's the baseline. And it's contagious. If this sounds like you, we'd love to hear from you! Compensation Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level: Staff: $270,400 - $365,000 Sr. Staff: $341,400 - $401,600 Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.

About Keycard At Keycard, we're building identity and access infrastructure for the agent-native era, where software isn't static but a dynamic, constantly changing system of AI agents working on behalf of people and businesses. Keycard gives every agent a verified identity and issues short-lived, task-scoped credentials at runtime, so agents can only do what they were asked to do, and every action is fully auditable. We're backed by a16z, Boldstart, and Acrew, and our founding team built and scaled Snyk, Auth0, HashiCorp, and Heroku. The Role We're hiring two staff-level Software Engineers, Infrastructure to own how Keycard is built, shipped, and run. Keycard is a control plane for agents: identity, credential exchange, delegation, policy, and audit. Many of the enterprises adopting it need that control plane inside their own cloud, behind their network controls, with no standing access for us. Bring-your-own-cloud (BYOC) is a product at Keycard, not a services engagement. It's versioned, documented, and held to the same reliability and security bar as our hosted service. You'll own Keycard's build and release systems, our multi-tenant cloud, dedicated deployments, and deployments in customers' cloud accounts. Build common delivery and operating tools across them, with release safety, reliability, cloud cost, and repeatable installs as priorities. You'll work with founders, engineers, product, and customers, and agree escalation and on-call with engineering. We build on AWS (and later GCP and Azure), EKS, Pulumi, and Helm. What You'll Do BYOC product. Own what it's like to install, upgrade, and get support for Keycard in a customer's cloud, from what their security team reviews to how each version is documented. Compatibility. Decide what we support, from clouds, regions, and Kubernetes versions to customer guardrails like SCPs and egress proxies. Set the skew limits and deprecation policy that keep our control plane and customer-hosted deployments compatible. Deployments. Make a new deployment, ours or a customer's, a configuration change: infrastructure as code, account bootstrap, and network patterns like PrivateLink and certificates that work through customer proxies. For example: take a new customer's AWS account to a running, upgradeable deployment with no standing access from us. Releases. Own one pipeline from commit to running deployment, wherever it runs, with the control plane kept separate from the data plane. Get releases to many independently versioned deployments with staged promotion, approval gates, and rollback. Reliability. Set the availability and durability targets we hold ourselves to for the hosted service, with the observability, runbooks, and incident response behind them. Operate customer-hosted deployments without standing access, using audited break-glass. Agent operations. Build agents for the repetitive work: pre-install checks, installs, failed-upgrade triage, and runbook drafts. They run with scoped credentials, every action is audited, and an engineer approves any change to a customer account. Cost per install. Keep each install cheap in engineering time and cloud spend. Decide what's standard, what's configurable, and what we decline, so one customer's request doesn't become the roadmap. Deployment guardrails. Work through reviews with customers' cloud and security teams. With security, set the guardrails for every deployment, from credential scope and isolation to workload identity and PKI, then build and run them. What We're Looking For You build infrastructure as software in Pulumi, Terraform, or CDK, and write the Go or TypeScript tooling around it. You've run Kubernetes and Helm in production. Deep AWS experience, especially IAM and permission boundaries, Organizations and SCPs, and VPC networking. You've run software in accounts you don't control, like customer VPCs, on-prem, or regulated networks, and supported it through upgrades. You've shipped versioned releases that customers upgrade on their own schedule, with a support matrix and deprecations they could plan around. You debug across layers: a hung request that turns out to be a security group rule, a proxy that breaks a TLS handshake, a certificate challenge that can't reach the internet. You've worked directly with customers' platform and security teams, and turned down a one-off when a product change was better. You think in control plane and data plane: you've designed or run systems where the two are separate and upgrade independently. Agents at work. You already use coding agents in infrastructure work and have a clear view of where they're reliable and where a human has to review. Strong Candidates May Also Have Experience building a BYOC, single-tenant, or self-hosted offering at an infrastructure, data, or security company. Experience with cell-based architecture. GCP or Azure alongside AWS, including private connectivity on those clouds. Workload identity and PKI in production: SPIFFE/SPIRE, cert-manager, private CAs. Experience with OAuth, OIDC, or mTLS, and interest in agent protocols like MCP. Your First 90 Days Take a customer-hosted deployment from pre-production to production with the customer. Make the next install need no bespoke work, starting from the templates, bootstrap, and pre-install checks. Ship a release through one delivery pipeline to hosted and customer-hosted deployments, with staged rollout and rollback. Write down availability and durability targets for the hosted service, with the alerts and runbooks behind them. Who Will Love This Job You want to build a product that runs in someone else's cloud and make it as solid as one you host. You'd rather fix the product than repeat a custom install. What we offer Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn't been built before. You'll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed. Truly Agent-Native Culture: At Keycard, we don't just enable others to adopt agents — we use them ourselves to build. You'll help shape an organization that embeds AI into its foundation as an enduring competitive advantage. Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission. Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge. Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows. Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you're strongest — we just want the best.

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.

Mission GroqMetal is building the infrastructure platform that turns large-scale physical compute into a reliable, isolated, customer-consumable product. As a Kubernetes Platform Engineer, you will build and operate production software within the GroqMetal platform, helping deliver Kubernetes as a commercial product for customers running large-scale AI training and inference workloads. You will own meaningful platform components, work alongside experienced infrastructure engineers, and develop deep expertise in Kubernetes, distributed systems, and large-scale AI infrastructure. Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area . The person hired for this role must be based in one of these three areas. You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens. Responsibilities & Opportunities In This Role Build production Kubernetes platform capabilities: Implement APIs, controllers, operators, automation, and platform services that support the GroqMetal product by extending Kubernetes. Own components end to end: Take responsibility for well-defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement. Operate what you build: Improve reliability, observability, performance, and operational efficiency, and participate in diagnosing and resolving production issues. Build a Kubernetes platform as a commercial platform: Develop capabilities used by dedicated customers running large-scale AI training and inference workloads. Develop distributed systems expertise: Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly. Improve the platform: Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions. Collaboration is a core skill: Work within a team of experts to elevate the collective efforts of our team. Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities holistically. Grow your technical scope: Contribute to design discussions, engineering practices, and technical decisions while developing toward ownership of increasingly complex platform systems. Ideal Candidates Have/are Software engineers first: Experience designing, implementing, testing, shipping, and maintaining production software. Hands-on Kubernetes experience: Experience building or operating Kubernetes-based systems, including areas such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services. Production infrastructure experience: Experience operating software in production and debugging problems across application, Kubernetes, networking, compute, and infrastructure layers. Solid distributed-systems fundamentals: An understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery, with an interest in developing deeper expertise. Experience with disciplined software development: Comfortable with code review, automated testing, CI/CD, observability, deployment, and production operations. Product-minded infrastructure engineers: Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers is highly valued, but not required. Hands-on experience with modern development tools: Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued. Interested in the AI infrastructure domain: Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable, but candidates with strong platform engineering fundamentals can develop this expertise in the role. Comfortable growing through ambiguity: Able to independently solve well-scoped problems, ask good questions when requirements are unclear, and work with senior engineers on broader architectural decisions. Why Join Us Purposeful Hiring: You're not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build what matters. Builders Wanted: You're not just riding the rocket ship, you're building it. Your work directly shapes the trajectory of our company. Mission-Driven Work: We're here to make a real impact. Our mission fuels everything we do. Tackling Hard Problems: If easy isn't your thing, you're in the right place. We solve some of the most complex and exciting challenges in our space. Excellence Is The Standard: High performance isn't just encouraged, it's the baseline. And it's contagious. If this sounds like you, we'd love to hear from you! Compensation Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary range for this position, which is inclusive of the potential bonus value, is $184,800 - $302,500, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.

At Sonatus, we're driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can't keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That's why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 9 million vehicles on the road today and rapidly expanding. Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we're solving some of the most interesting and complex challenges in the industry. Join us and help redefine what's possible as we shape the future of mobility. Role Summary: We are seeking an experienced Senior Cloud Platform Engineer to own the cloud infrastructure and delivery pipeline supporting one of our largest OEM programs. This role is based on-site at the customer's engineering facility, embedded alongside their teams. You will build and operate our GCP-based platform using GitOps and infrastructure-as-code, automate the paths that get software from commit to production, and act as the local owner for cloud access, environment provisioning, and day-to-day operational issues. This is a hands-on role for a broad, self-directed engineer who is comfortable being the on-site technical point of contact and working across organizational boundaries to unblock delivery. Roles and Responsibilities: Own and evolve our GCP cloud platform for the program - GKE, IAM, Vertex, networking, and supporting services - with a focus on reliability, security, and cost. Build and maintain infrastructure as code in Terraform, treating all environment configuration as reviewed, versioned, and reproducible. Operate the platform using GitOps practices (Argo CD, Helm), so that environment state is declarative and every change is traceable to a commit. Design and maintain CI/CD automation that takes services from commit to deployment with minimal manual intervention, including progressive delivery patterns such as blue/green and canary rollouts. Build observability and alerting that gives both Sonatus and the customer a clear view of system health, and lead troubleshooting when things break. Serve as the on-site owner for cloud access and environment issues - coordinating permissions, provisioning, and workflow questions directly with the customer's IT and platform teams. Manage the program's AI resources - model access, GPU and accelerator capacity, quotas, and API keys across Vertex and other model services - and track usage and spend so teams get the capacity they need within budget. Optimize AI model deployment and serving for latency, throughput, and cost, including model selection, right-sizing, batching, caching, and quantization, and measure the results against agreed benchmarks. Automate recurring operational work and reduce toil, so that developer velocity does not depend on manual intervention. Partner with Sonatus engineering teams in California, Ireland, Korea, and India to keep the on-site environment aligned with our broader platform. Requirements: 7+ years of experience building and operating production cloud infrastructure, with a strong DevOps, platform engineering, or SRE background. Deep, hands-on experience with Google Cloud Platform (GKE, IAM, VPC/networking, Cloud Build, or equivalent). Experience with AWS or Azure is welcome, but GCP depth is required. Strong Terraform skills and a track record of managing real production infrastructure as code. Practical experience with GitOps workflows and tooling (Argo CD, Flux, Helm) and a preference for declarative, version-controlled operations. Solid Kubernetes and containerization experience - deploying, scaling, securing, and debugging real workloads. Strong automation and scripting ability (Python, Go, or Bash) and a bias toward eliminating manual steps. Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar). Comfort operating independently in a customer environment: strong communication, sound judgment on what to escalate, and the credibility to work directly with a partner organization's engineering and IT teams. Experience with ML or AI workloads running on cloud infrastructure. Nice to have: Experience working embedded at, or delivering into, a large enterprise or automotive customer environment. Familiarity with cloud cost management and FinOps practices. Security and compliance experience in a regulated or enterprise setting. Benefits & Perks Offered: Health care plan (Medical, Dental & Vision) Flexible and Dependent Care Expense program Retirement plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited paid time off per year, 14+ paid holidays Wellness benefit allowance Phone & Internet reimbursement Computer Accessory Allowance The posted salary range is a general guideline and represents a good faith estimate of what Sonatus ("Company") could reasonably expect to pay for a base salary for this position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Company reserves the right to modify this range in the future, as needed, as market conditions change. Base Salary Pay Range $137,000—$175,000 USD

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.

Promevo, LLC was founded in 2006 by a group of experienced systems integration, application development, and systems administration specialists in Cincinnati, OH. We are Promevo! The name Promevo is derived from the Latin words promoveo, meaning "to move ahead" and promereo, meaning "to earn". It's our name, but it's also our purpose. We move clients ahead in technology, enabling their competitive advantage and we earn their trust with our technical excellence and dedication to their success. We believe that digital solutions shouldn't be something our clients need to adapt to, instead we make digital solutions adapt to client needs. Promevo is a Google Premier Partner for Google Workspace, Google Cloud, and Google Chrome, specializing in helping businesses harness the power of Google and the opportunities of AI. From technical support and implementation to expert consulting and custom solutions like gPanel, we empower organizations to optimize operations and accelerate growth in the AI era. In addition to Google technology, Promevo's SaaS Platform (gPanel) provides our clients with a centralized user management interface providing administrators with visibility and control over all of their users' data and settings with its robust suite of security features. We walk alongside our clients to help them achieve their digital transformation and infrastructure goals by providing Professional Services such as migrations, custom app development, fast track deployments, and white glove services. We are seeking a hands-on Cloud Infrastructure Engineer to act as the technical builder responsible for deploying, managing, and automating complex Google Cloud solutions for both internal and external client projects. In this role, you will work across a wide variety of cloud domains—including networking, compute, storage, and CI/CD—while ensuring that every environment you build is inherently secure. Beyond deploying core infrastructure using Infrastructure as Code (IaC), you will be instrumental in configuring the critical identity, access, and logging foundations required for enterprise-grade, secure-by-design deployments. By joining the Promevo Team, you will find that our company culture is at the heart of our success. Promevo's core values center around building trust, investing in care of each other, owning our work, respecting our differences, and engaging in positive attitudes. By living out these values each day, we build supportive teams that nurture development and growth, both individually and professionally. Our Promevo team members are committed to living out the core values below: Build and Extend Trust – Show respect and listen. Do what you say you will do. Be transparent and dependable. Keep it Human – Invest in relationships. Show empathy. Do right by others. Take care of yourself, your family, and each other. Own It – Become an expert in your role. Own the outcome. Finish what you start. Answer for the results. Differences Make Us Stronger – Respect Differences. Seek to include different perspectives. Learn from each other. Attitude is Contagious – Be fully engaged. Take pride in what you do. Spread your positivity. Courage. Energy. Passion. Purpose. Duties and Responsibilities: Core Infrastructure & Automation Infrastructure Deployment: Design, build, and maintain highly available GCP architectures (Compute Engine, Kubernetes Engine, VPCs, Cloud Storage) using Infrastructure as Code (primarily Terraform). Automation & CI/CD: Assist in building and maintaining deployment pipelines to automate infrastructure provisioning and application rollouts. GCP Project Provisioning: Set up foundational cloud environments, including establishing organizational policies, creating logical folder structures, and configuring baseline resource hierarchies. Identity, Access & Security Federated Identity Management: Configure and troubleshoot integrations and establish Google Workforce Identity Federation to allow external IdPs secure access to GCP resources. Security Controls: Implement robust IAM and security controls, ensuring least-privilege access across service accounts, users, and groups. Network Security: Configure firewalls, VPC peering, Cloud NAT, and basic network security protocols to protect client workloads. Observability & Operations Monitoring & Logging Setup: Deploy comprehensive observability tools using Cloud Monitoring to ensure system health, performance, and uptime. Audit & Compliance: Configure Cloud Logging to capture, route, and retain system and security events, ensuring centralized audit trails for compliance. Troubleshooting: Act as an escalation point to diagnose and resolve complex infrastructure, network, and IAM-related issues. Skills and Qualifications: Requires an BA/BS degree in Information Technology, Computer Science or related field of study or equivalent experience Experience: 3+ years of hands-on experience provisioning and managing infrastructure on Google Cloud Platform (GCP). Core GCP Knowledge: Strong understanding of fundamental GCP services (VPC Networking, Compute Engine, Cloud Storage, Load Balancing). Infrastructure as Code (IaC): Proficient in writing and deploying infrastructure using Terraform. Identity & Security: Practical experience configuring IAM roles, organizational policies, and SSO/Identity Federation. Scripting: Ability to write automation scripts in Python, Bash, or Go. Client-Facing Skills: Strong communication skills with the ability to explain technical decisions and infrastructure designs to clients and internal Project Managers. A positive outlook, a passion for development and the ability to work as part of a high-performance team. What Promevo Offers Competitive salary and bonus plan 14 Paid holidays Medical Insurance Dental Insurance, 100% company paid premiums Vision Insurance , 100% company paid premiums Fully Company Paid Short term Disability Insurance Fully Company Paid Long Term Disability Insurance Fully Company Paid Life Insurance and AD&D 401k plan: Promevo offers a Safe Harbor 401K plan for full time employees with immediate eligibility. Promevo matches the first 3% of earnings you contribute at 100% and matches the next 2% of earnings you contribute at 50% Home office setup allowance Cell phone allowance 4 weeks of PTO and a healthy work/life balance Development and Training opportunities to help you grow Promevo LLC is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.

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.

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.

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.

Shape the Future with Us. At Lubrizol, we're bringing to life the chemistry behind clean water, efficient transportation, reliable infrastructure, critical medicines, and the products people rely on every day through science, sustainability, and a culture of inclusion. As part of our global team, you'll be empowered to make a real impact - on your career, your community, and the world around you. Why We're Growing Berkshire Hathaway, Lubrizol's parent company, announced its acquisition of OxyChem (formerly part of Occidental Petroleum) at the start of this year. As part of this transition, Lubrizol will provide certain corporate functional services, including IT Infrastructure & Platform support toOxyChem as it continues operating as an independent business. This role allows you to be part of a high‑visibility initiative, strengthen cross‑company partnerships, and contribute to the success of two industry‑leading chemical organizations. How You'll Make An Impact As a Cloud Engineer, you'll be at the forefront of our innovation, driving the delivery, automation, support, and continuous improvement of Azure-first cloud and hybrid infrastructure platforms that support our Next-Generation Infrastructure strategy. You'll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life. In this role, you will: Implement, maintain, and support Microsoft Azure and hybrid cloud infrastructure solutions aligned with enterprise standards. Configure and manage cloud resources, networking, identity integrations, subscriptions, and platform services. Execute cloud platform deployments, upgrades, lifecycle activities, and workload modernization initiatives. Develop and maintain Infrastructure-as-Code solutions using tools such as Azure Resource Manager (ARM), Bicep, Terraform, and PowerShell. Contribute to automation initiatives that improve consistency, reliability, and operational efficiency. Monitor platform health, performance, capacity, and availability while supporting incident response and recovery activities. Troubleshoot and resolve cloud platform issues within defined service levels. Partner with infrastructure, security, and architecture teams to deliver scalable and secure technology solutions. Document solutions, standard operating procedures, and operational runbooks to support operational excellence. Identify opportunities for continuous improvement through automation, process optimization, and adoption of emerging cloud technologies. Required Qualifications That Enable Your Success Bachelor's degree in Computer Science, Information Technology, or a related field preferred, or equivalent relevant experience. Minimum of three (3) years of relevant information technology experience in infrastructure, systems, or cloud engineering roles. Experience supporting enterprise infrastructure or cloud platforms in a production environment. Experience with Microsoft Azure, virtualization, networking, or systems administration. Knowledge of cloud networking, identity, security fundamentals, and enterprise infrastructure technologies. Experience with Infrastructure-as-Code, automation concepts, and PowerShell scripting. Strong troubleshooting, problem-solving, and analytical skills. Ability to take ownership of assigned services while balancing speed, reliability, security, and operational discipline. Strong collaboration and communication skills with cross-functional technology teams. Preferred Qualifications That Drive You Forward Microsoft Certified: Azure Administrator Associate certification or similar Azure certification. Experience with ARM, Bicep, Terraform, or other Infrastructure-as-Code platforms. Experience implementing automation and cloud governance best practices. Your Work Environment Role At Lubrizol, we're committed to providing a safe, inclusive, and empowering environment where you can do your best work—whether in a lab, on the production floor, or in a hybrid office setting. Depending on your role, your work environment may include: Standing, walking, or operating equipment for extended periods Working in a lab or manufacturing setting with appropriate PPE provided Use of computers and digital tools in an office or hybrid environment Occasional lifting or movement of materials Adherence to rigorous safety protocols and ergonomic standards We continuously invest in our facilities and technologies to ensure they support your well-being, productivity, and growth. If you require reasonable accommodation, we are committed to working with you to ensure an inclusive and accessible experience. Benefits That Empower You Competitive salary with performance-based bonus plans 401(k) match + Age-Weighted Defined Contribution Comprehensive medical, dental & vision coverage Health Savings Account (HSA) Paid holidays, vacation, and parental leave Flexible work environment Learning and development opportunities Career and professional growth Inclusive culture and vibrant community engagement Learn more at https://benefits.lubrizol.com/! Lubrizol: Imagined for Life. Enabled by Science. ™ Delivered by You . For nearly 100 years, The Lubrizol Corporation, a Berkshire Hathaway company, has been at the forefront of innovation to enhance everyday life, advance mobility, and make the modern world work better. Our specialty chemistry solutions - from engine oils, performance coatings, and skincare to medical devices and plumbing systems - are powered by the expertise, passion, and commitment of people like you. We tackle the world's toughest challenges with science-based solutions, deeply understanding our customers to deliver innovative chemistry and differentiated value. Our inclusive culture, dedication to safety, and incredible global talent drive our success. Our solutions meet the evolving needs of the modern world, brought to life by science and, most importantly, delivered by you . Whether you're in the lab, on the production floor, or in the office, you'll be part of a team around the world that empowers you to think boldly, drive results, and contribute to solutions that shape a better, more sustainable future. We win because of you. Let's build the future together.

About the Role We are seeking an experienced Azure Infrastructure Engineer to design, manage, and optimize enterprise Azure and hybrid cloud environments. This individual will serve as a technical subject matter expert across Azure infrastructure and networking, working closely with engineering, cybersecurity, and external service providers to ensure secure, reliable, and scalable operations. The ideal candidate is a hands-on engineer with deep Azure expertise, strong networking fundamentals, and experience supporting cloud modernization, infrastructure automation, and enterprise security initiatives. Key Responsibilities Design, implement, and maintain Azure cloud and hybrid infrastructure, ensuring performance, scalability, and reliability. Manage core Azure services, including virtual machines, storage, Key Vault, Azure Backup, Azure Monitor, and disaster recovery solutions. Oversee Azure networking, including VNets, peering, routing, VPNs, ExpressRoute, firewalls, Private Endpoints, and DNS. Support hybrid infrastructure integrations involving Windows Server, Active Directory, Microsoft Entra ID, and Microsoft 365. Lead cloud infrastructure improvements, migrations, and modernization initiatives. Develop and maintain Infrastructure as Code (IaC) solutions using Terraform, Bicep, or ARM templates. Automate infrastructure operations using PowerShell, Azure CLI, and other Microsoft automation tools. Partner with cybersecurity teams to implement security best practices, Zero Trust principles, and vulnerability remediation. Support Microsoft Defender technologies, identity security controls, and infrastructure-related security initiatives. Collaborate with managed service providers (MSPs) and internal engineering teams on infrastructure projects and operational support. Support secure integrations with enterprise AI platforms, including Microsoft 365 Copilot, Copilot Studio, and Azure OpenAI. Maintain technical documentation, network diagrams, and operational procedures. Required Qualifications 5+ years of infrastructure engineering experience, including 3+ years supporting production Azure environments. Strong hands on expertise with Azure infrastructure, cloud architecture, and hybrid environments. Working knowledge of Microsoft Fabric, including its integration with Azure environments, enterprise data platforms, and data security best practices. Advanced Azure networking experience, including VNets, peering, routing, VPN/ExpressRoute, NSGs, firewalls, and Private Endpoints. Solid understanding of enterprise networking concepts, including TCP/IP, BGP, subnetting, DNS, and VPN technologies. Experience with Windows Server, Active Directory, Entra ID, hybrid identity, and Conditional Access. Proficiency with PowerShell and Infrastructure as Code tools such as Terraform, Bicep, or ARM. Familiarity with Microsoft Defender, Zero Trust security principles, and cloud vulnerability remediation. Understanding of Microsoft AI platforms and secure enterprise data access, including Microsoft 365 Copilot and Azure OpenAI. Preferred Qualifications Experience with Azure landing zones, Azure Virtual WAN, or Azure Virtual Desktop. Familiarity with Microsoft Sentinel, Defender XDR, Microsoft Purview, or Intune. Exposure to Microsoft Fabric, Power Automate, Copilot Studio, or Power BI. Experience with Git-based workflows, Azure DevOps, or GitHub Actions. Relevant Microsoft Azure certifications, including AZ-104, AZ-700, AZ-500, or AZ-305. Education Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.