What is Vetric?
Vetric builds large-scale public data infrastructure.
We provide data pipelines that collect, structure, and deliver high-volume public web data for mission-critical companies operating in cybersecurity, public safety and digital risk protection.
Our systems power platforms that detect bad actors, uncover impersonation and fraud, identify coordinated manipulation, and help public safety organizations respond faster to real-world risks.
We don’t build dashboards, and we don’t sell surface-level insights.
We build stable, production-grade data flows that become part of our customers’ core products, with the real impact of saving lives or huge known organizations from bad actors.
Operating globally, we serve industry leaders across more than 20 countries who rely on us for scale, reliability, and depth.
Why Vetric?
Vetric is profitable from day 1 (fully bootstrapped - means we didn’t raise any money), a fast-growing company building foundational technology - not chasing trends.
Because this is infrastructure that matters, it requires engineering discipline, ownership, and long-term thinking.
As part of our broader R&D expansion, we’re building Kraków into a key engineering hub that will own core systems and drive our next phase of innovation and growth.
Position Overview
We are seeking a Senior DevOps Engineer to join our infrastructure team, reporting directly to our DevOps Team Leader. This role will partner with engineering leadership to drive advanced infrastructure initiatives end-to-end—from system design through production hardening - setting the technical bar for operational excellence across the company.
The immediate challenge: Vetric operates a high-volume, multi-account AWS. You will solve complex delivery, scaling, and operational problems along the way.
What you'll do
Drive Cloud & Migration Strategy: Work under the guidance of our DevOps Team Leader to architect 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.
Architect Enterprise CI/CD: Evolve our delivery pipelines (GitHub Actions, OIDC federation) at scale, reducing developer friction and elevating deployment safety across dozens of services.
Scale Data-Intensive Infrastructure: Oversee the performance, capacity, and resilience of our high-volume data layer (ClickHouse, ScyllaDB, DynamoDB, RDS, Redis) and event-driven messaging pipelines.
Enforce Reliability & Observability: Enforce 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: Make high-impact technical tradeoff decisions that balance velocity, least-privilege security, zero-trust access (Tailscale), and FinOps cost efficiency.
Requirements
5+ years of hands-on DevOps, Infrastructure, or Cloud Engineering experience, with real production ownership in high-throughput, data-intensive environments.
Deep Cloud Expertise: Advanced knowledge of AWS architectures, including compute, networking (VPC, DNS, segmentation), IAM, and scalability patterns.
Production Kubernetes Mastery: Strong, hands-on expertise designing, running, and optimizing Kubernetes clusters (EKS) at production scale under heavy load.
IaC & Automation Proficiency: Expert-level experience with Terraform and solid scripting/software engineering skills in Python, Go, or TypeScript, plus confident Bash.
Container & Pipeline Ownership: Deep familiarity with container workloads (ECS/Docker) and modern CI/CD systems (GitHub Actions) using safe rollout strategies.
Observability at Scale: Proven track record of designing and operating robust observability and alerting stacks (metrics, logs, traces, SLOs).
Collaborative Leadership: Pragmatic, clear communicator who thrives in a high-velocity, autonomous team environment and builds trust through sound technical judgment.
Nice to have
Direct experience leading an ECS-to-Kubernetes migration in a production environment.
Deep knowledge of EKS ecosystem tooling (Karpenter, ArgoCD/Flux, KEDA, VPC CNI).
Experience operating analytical or wide-column databases at scale (ClickHouse, ScyllaDB).