Forging the world’s actionable intelligence engine for human resiliency
DevOps Lead
Location
United States
Posted
18 hours ago
Salary
$125K - $156K / year
Seniority
Senior
Job Description
DevOps Lead
Neural Earth
• Maintain our CI/CD pipelines and containerized infrastructure (Docker, ECS/ECR Fargate, Terraform), keeping deployments fast and reliable day to day • Monitor cloud infrastructure on AWS, catching and resolving issues before they affect customers • Support incident response, helping triage and resolve production issues as they come up • Execute steady-state maintenance and operational work, freeing up senior team members to focus on architecture and security priorities • Ramp into our existing systems and tooling, building depth over time as you take on more ownership
Job Requirements
- 2 to 5 years of experience in DevOps, SRE, or infrastructure engineering
- Working experience with Docker, AWS (ECS/ECR Fargate), and Terraform. Strong Azure or GCP experience is also welcome. Python scripting and Kubernetes experience are both a plus
- Cybersecurity experience, including CMMC or ISO 27001/2, is a big plus, not required
- Experience with AI coding agents (e.g., Copilot, Cursor, Claude Code)
- Ability to accommodate up to 10% travel
Benefits
- Competitive base compensation regardless of work location
- Company performance-based cash bonuses
- Majority employer-paid health, dental, and vision insurance for you and your dependents
- Flexible Paid Time Off (PTO)
- Group Life Insurance at 2x your base salary, paid by the company
- FSA and HSA options to maximize your healthcare dollars
Related Guides
Related Categories
Related Job Pages
More DevOps Engineer Jobs
Forward Deployment Engineer, AI
PerfectServeAccelerating speed to care by optimizing provider schedules, streamlining clinical communication, and engaging patients.
• Help configure and rollout customers of our existing AI voice agent • Build and run evaluation suites to validate behavior, catch regressions, and tune prompts as new customers are deployed • Develop new features and fixes to the core product • Optimize latency, inference cost, and hallucination guardrails • Run and improve model evaluation, benchmarking, and observability across the product • Monitor cost controls, usage monitoring, and security/PHI handling constraints • Partner with Product and Customer Success to turn customer requirements into working, validated deployments, and own customer go-live, post-launch monitoring, and production issue debugging • Help streamline and automate the onboarding process to reduce the engineering effort required to bring each new customer live
Forward Deployment Engineer, AI
PerfectServeAccelerating speed to care by optimizing provider schedules, streamlining clinical communication, and engaging patients.
• Help configure and rollout customers of our existing AI voice agent • Build and run evaluation suites to validate behavior, catch regressions, and tune prompts as new customers are deployed • Develop new features and fixes to the core product • Optimize latency, inference cost, and hallucination guardrails • Run and improve model evaluation, benchmarking, and observability across the product • Monitor cost controls, usage monitoring, and security/PHI handling constraints • Partner with Product and Customer Success to turn customer requirements into working, validated deployments, and own customer go-live, post-launch monitoring, and production issue debugging • Help streamline and automate the onboarding process to reduce the engineering effort required to bring each new customer live
• Design and maintain Exoscale’s operating systems and hypervisor fleets, from kernels to the network stacks, passing by security filtering layers • Contribute to the routing & security automation systems implementations • Help shape our operating system images strategy, from bare metal to Virtual Machines • Maintain and improve the system container runtimes • Improve our provisioning and deployment systems • Help improve bare metal and hypervisor systems performance • Contribute to the overall design and the architecture of the Exoscale platform systems • Contribute to internal tooling development • Improve our systems and processes to be scalable and highly available, helping achieve outstanding SLAs • Participate in code & changes reviews • Take part in the on-call roll after a training period
• Own, secure, and scale our infrastructure and deployment pipelines. • Embed security into our CI/CD workflows and manage vulnerabilities. • Ensure our financial trading systems are resilient, compliant, and highly available. • Design, maintain, and harden CI/CD pipelines across our delivery lifecycle. • Integrate automated security testing tools directly into development workflows. • Lead end-to-end vulnerability management, including triage and remediation tracking. • Audit existing infrastructure and deployment workflows to identify gaps, risks, or inefficiencies. • Contribute to disaster recovery, business continuity, and robust change management processes.



