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We're looking for a DevOps / Platform Engineer to own our infrastructure end to end- both sides of it.
Side one is our multi-tenant SaaS on AWS: you build it, you run it, you keep it fast, secure, and up. Side two is the part that makes this role unusual - our enterprise customers deploy Avon AI inside their cloud (and sometimes fully air-gapped, on-prem environments). You'll own that too: packaging the platform, running the installation with the customer's infrastructure and security teams, and being the person on the call when their environment doesn't look like anyone's reference architecture.
This is a customer-facing engineering role. You'll be in rooms with enterprise IT, security, and platform teams- walking them through our architecture, answering security review questions, and unblocking deployments. If you want a pure behind-the-scenes infra job, this isn't it. If you like owning infrastructure and being the trusted technical voice in front of a customer, read on.
You'll be our first dedicated DevOps hire, which means you inherit real systems in production and a lot of room to shape how they evolve.
Key Responsibilities
EKS, networking, data stores, CI/CD, cost, and uptime. Build and evolve it with Infrastructure as Code.
Maintain and improve our Helm charts and container distribution so Avon AI installs cleanly in a customer's Kubernetes cluster.
Plan and execute installations in customers' private clouds and on-prem/air-gapped environments, working hands-on with their infrastructure teams from kickoff through go-live.
Support security reviews and architecture discussions, and translate enterprise IT constraints back into our roadmap.
IAM, network segmentation, secrets management, WAF, and the controls enterprise customers audit us on.
Metrics, logs, tracing, and alerting for our SaaS, and self-contained monitoring for customers who won't ship telemetry outside their network.
CI/CD pipelines, ephemeral PR sandboxes, release automation, and local development so engineers ship quickly and safely.
For our SaaS tenants and for deployed customer installations, including on-call ownership of what you build.

We need a Director to set the strategy for everything underneath it - cloud, security, and the delivery lifecycle - and to bring AI into how that infrastructure is run.

This is a director-level leadership role, not an IC stretch assignment. You will lead our DevOps organization - which already has a team leader running day-to-day delivery - and operate one level up: setting direction, owning the roadmap, making architecture and build-vs-buy calls with authority, and representing infrastructure at the leadership table. Close enough to the work to guide it in depth, senior enough to own it end to end.

What Youll be Doing:
Own cloud infrastructure and security as one strategy: architecture, scale, and the path to our next order of magnitude of growth, with our security and compliance posture (IAM, secrets, hardened baselines, SOC 2 / ISO 27001 audit readiness) built in from the start, not bolted on.
Own the SDLC end to end, and drive AI into every stage of it: measure delivery performance (lead time, deployment frequency, change failure rate) and use AI to improve each stage of the lifecycle - planning, code review, testing, release, and operations - alongside AIOps practices like automated/self-healing recovery and intelligent alerting.
Own FinOps as a strategic discipline: the cloud bill is a P&L line you're accountable for, with unit economics driven down every quarter.
Own vendor and contractual relationships across cloud, tooling, and infrastructure services - negotiating leverage, not just approving invoices.
Lead the DevOps organization through its team leader: set technical direction and standards, develop the team leader into a stronger manager, and grow the bench beneath them.
Partner as a peer with Backend, Infra, AI, Data, Product, Security and Finance leadership - infrastructure decisions get made with you in the room, not after.

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.

What You'll Do
Platform and infrastructure (K8s + IaC).
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability.
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve.
Build the foundations that let the team provision and scale services without friction.
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AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel.
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive.
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs.
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CI/CD and developer experience.
Own build and deploy pipelines end-to-end - fast, safe, boring releases.
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar.
Reduce the time from merged to in production and from idea to running experiment.

Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents.
Own incident response and the reliability practices that keep enterprise customers SLAs intact.
Turn incidents into systemic fixes, not repeated firefighting.

Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform.
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high).
Build security into the pipeline so it is the default, not a gate.
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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.

We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements.

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.

we are revolutionizing Ecommerce with the first agentic operating system for ecom scale.
this end-to-end platform helps product inventors and entrepreneurs turn their products into successful direct-to-consumer businesses, addressing the three key challenges of ecom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing.
with a connected system of ai agents built on a unified data infrastructure, the os analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power ecom growth, and offers the financing needed for dtc scale.
the role
we're looking for a DevOps engineer to join a fast-moving, ai-native engineering team.
this is not a traditional ops role.
a large share of our code is written and shipped by ai agents. the platform underneath them has to keep up.
you'll be expected to help our dev teams ship, debug, and monitor fast, using ai wherever it fits.
this is a ground-floor seat on a startup with serious growth ambitions.
if you want to build the platform that lets a team of humans and agents ship at machine speed, this is your role
what you'll do:
run ci/cd end to end: github actions, bazel builds, and argo cd deploys. make them faster, greener, and safe for agents to trigger unattended
build and maintain the infrastructure as code behind the platform on gcp with terragrunt and opentofu: gke, vpc networking, iam, secret manager, cloud sql
run the data platform: cloud composer (airflow), dbt, and the bigquery layer the business reports on. keep pipelines on schedule, cheap, and trustworthy
keep production observable: datadog and grafana, alerts people trust, error tracking that points at the real fault
put ai to work on ops: extend the agent-driven alert triage, wire claude code into pipelines, automate the toil you'd otherwise do by hand
work with backend and data engineers to make services and pipelines resilient, observable, and easy to deploy.

We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how we reache our customers' environments - and how it runs once it gets there.

This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy us across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.

Responsibilities
This is a DevOps and Backend role, with approximately 60% of the focus on DevOps & Deployment and 40% on Backend engineering. Youll own both the infrastructure that enables us to run in complex customer environments and the backend services that support and manage the deployment lifecycle.

DevOps & Customer Deployment ~60%
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for both cloud-native and on-premises environments.

Backend Engineering ~40%
Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect the customer experience.

Collaboration & Customer-Facing Work
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

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.