We are seeking a DevOps Engineer, at the mid or senior level, to join our infrastructure team, reporting directly to our DevOps Team Leader. Depending on experience, this role will either contribute to or help drive advanced infrastructure initiatives - from system design through production hardening - as we raise the bar for operational excellence across the company.
The immediate challenge: Vetric operates a high-volume, multi-account AWS environment. You will help solve complex delivery, scaling, and operational problems along the way. Scope and ownership will be calibrated to your experience level.
Responsibilities:
Contribute to Cloud & Migration Strategy: Work alongside our DevOps Team Leader to help plan and execute our migration from ECS Fargate to Kubernetes (EKS) without downtime, while maintaining our existing cloud estate.
Advance Infrastructure as Code: Design and implement modern, modular IaC frameworks utilizing Terraform and OpenTofu to ensure consistent, multi-environment deployments.
Improve Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Support Data-Intensive Infrastructure: Help maintain the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Strengthen Reliability & Observability: Help maintain organization-wide reliability standards using open, modern telemetry stacks (OpenTelemetry, Coralogix, Grafana), ensuring on-call operations are driven by signal, not noise.
Balance Growth & Governance: Participate in technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.

As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

We are looking for an experienced Technical Lead to direct the technical vision across our Infrastructure Group (DevOps, Data Infrastructure, and Backend Platform).This person is deeply experienced in the DevOps and Data Infrastructure worlds, with solid working knowledge of the backend (Java) stack - enough to challenge service architecture and align infrastructure decisions with how services are actually built and run. This is a cross-cutting, technical role. The Technical Lead drives architecture, eliminates silos between teams, standardizes foundational engineering practices, and mentors senior engineers across the group

Team tasks you will take part in
Act as the infrastructure technical lead within the R&D organization, directly influencing our broader technology roadmap.
Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Collaborate with technical leads across engineering to ensure cross-group implementations align with our overall technical strategy.
Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure.
Establish AI as a first-class engineering capability across us (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput.
Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards.
Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health.
Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant.

As a Platform DevOps Engineer for us, you will lead DevOps for our SaaS product. You will serve as the products primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow.

Key Responsibilities
Own the end-to-end cloud-native infrastructure for us, including Development, Test, and Production environments.
Design and build scalable, secure, and reliable infrastructure for an active SaaS product.
Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD.
Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform.
Establish and lead observability, monitoring, alerting, and incident-response capabilities.
Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements.
Partner with R&D teams to improve product performance, scalability, reliability, and security.
Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality.
Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability.

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

As a DevOps Engineer for our companys Autonomous Workspace Platform, you will play a key role in designing, implementing, and maintaining the cloud infrastructure behind a new AI-driven security platform.
You will be responsible for managing cloud environments that support our companys XDR products and the Autonomous Workspace Platform. You will take part in designing and implementing cloud architecture, optimizing infrastructure, improving reliability and observability, and ensuring security and cost efficiency.
This is a hands-on role for an independent engineer who can take ownership of tasks end to end - from analyzing a challenge and suggesting a solution, through design, implementation, and production rollout.
You will collaborate with stakeholders across R&D and the broader company, including Security and Product teams, to automate processes, streamline operations, improve developer experience, and drive meaningful improvements in our cloud strategy.
You will have the opportunity to join a team building a brand-new AI-driven security platform in a fast-paced, startup-like environment.
Key Responsibilities
Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success.
Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services.
Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices.
Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience.
Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective.
Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity.

Responsibilities:
Microservices Transformation- Lead the migration from monolithic systems to microservices using Kubernetes, Istio, and Linkerd. Your work will focus on ensuring reliability, scalability, and fault tolerance in production.
Container Orchestration- Manage Kubernetes clusters at scale, automate deployments with Helm, and integrate continuous delivery using Gitops technologies (ArgoCD).
Developer Experience- Improve CI/CD pipelines with GitLab CI, github-actions, and other tools to enhance productivity and streamline workflows.
GitOps and Automation- Implement GitOps using FluxCD and automate infrastructure management with Terraform. Youll be responsible for maintaining security and configuration management with HashiCorp Vault.
Monitoring and Observability- Build and manage observability stacks using Prometheus, Grafana, Loki, and Jaeger, ensuring full visibility and fast incident response.
Production Readiness- Define production-readiness standards and implement monitoring tools like Datadog and New Relic to ensure systems are stable and performant.

We're looking for a DevOps Engineer to power the reliability, security, and efficiency of the world's most impactful weather platform. You'll build self-service platforms that give developers and weather scientists true independence, weave AI into how we operate, and work side-by-side with R&D to push performance and scale further. You'll evolve our cloud infrastructure to match the pace of the business, hold the line on cost, and stay close to production through on-call. The people who thrive here bring a product mindset, take ownership without waiting to be asked, and leave the people and systems around them better than they found them.

As a DevOps Engineer you'll:
Evolve and maintain our cloud infrastructure, delivery and observability - and the self-service platforms above them - so they serve our business strategy and let scientists and developers work on their own as we grow at scale.
Develop and adopt tools, with AI at the center, that make development and operations processes measurably more efficient.
Partner with the engineering teams behind our platform and its API to improve service performance, reliability, scale, security and cost.
Keep production available to its SLOs - taking your turn on the on-call rotation and following each incident through to whatever stops it from happening again.
Work as part of the team: share what you know, learn from the people around you, and help us keep improving how we work together.

Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role - youll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization.
Your Impact:
Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure)
Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response)
Drive end-to-end troubleshooting across complex, distributed systems with high context switching
Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) - not just react to alerts
Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance
Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows
Develop and maintain automation and tooling (primarily in Python)
Gain deep understanding of system architecture and interconnected services
Contribute to a culture of operational excellence in a high-scale, high-availability environment
On call responsibilities:
Daytime hours (12:00-20:00)
Occasional weekends and holidays (rotation-based).

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.