Sr. DevOps Engineer

We are looking for a passionate Senior DevOps / Platform Engineer to join the Platform Engineering team. As a core member of the team, you will own and evolve the full platform ecosystem: infrastructure automation, continuous delivery pipelines, self-service provisioning capabilities, production operations runbooks, and L2 support.

You will bring a strong DevOps culture and mindset, with a deep command of AWS infrastructure, modern tooling, and advanced platform practices including GitOps, AIOps, and Kubernetes at scale. Your mission is to make the platform reliable, observable, and effortless to consume—turning complex infrastructure into self-service capabilities that empower engineering teams to move fast and safely.

This is a hands-on, automation-first role where you are expected to codify everything, document what you build, and deliver it as a self-service product to the engineering teams around you.

Platform Engineering & Automation

• Design, build, and operate infrastructure automation across the AWS platform using Terraform Enterprise, Ansible, Harness, Kubernetes (including operators, CRDs, and cluster lifecycle management), and GitOps practices.
• Support and evolve continuous delivery pipelines, ensuring reliable and repeatable deployments across environments (PRE, SBX, PRD).
• Build and maintain self-service capabilities so that developers and engineering teams can autonomously claim and consume infrastructure resources—compute, storage, databases, and messaging—through Kubernetes-native APIs and GitOps workflows, without manual intervention.
• Design and develop platform abstractions, golden paths, and reusable modules that reduce cognitive load for application teams.
• Improve cluster reliability, scalability, and security through advanced Kubernetes practices, including autoscaling, multi-tenancy, network policies, and admission controllers.

Reliability, Observability & AIOps

• Leverage AIOps practices to improve platform reliability: intelligent alerting, anomaly detection, AI-assisted incident triage, and automated remediation using tools such as AWS DevOps Agent, Datadog, and GitHub Copilot.
• Build and maintain observability across the platform—metrics, logs, and traces—using Datadog, Splunk, or equivalent tools.
• Write, maintain, and improve production runbooks to ensure operational procedures are automated, documented, and accessible to the team.
• Provide L2 support on existing automation systems and pipelines, troubleshooting issues across the platform ecosystem.
• Participate in on-call rotations and contribute to incident response and post-mortem processes.

Collaboration & Continuous Improvement

• Collaborate with Production Ops, DBA, SRE, and application engineering teams on platform improvements and migrations.
• Contribute to FinOps by identifying and implementing AWS cost-optimization opportunities.
• Document architecture decisions and operational procedures, and contribute to team knowledge sharing.
• Champion platform engineering best practices and a culture of automation, ownership, and reliability.

Infrastructure Breadth

• Contribute to the automation and operation of core infrastructure services across compute, storage (NetApp, S3, EBS, EFS, FSx), networking, and identity.
• Integrate infrastructure resources with Kubernetes workloads, including persistent volumes, storage classes, and CSI drivers, using self-service provisioning patterns.
• Support high availability, fault tolerance, and disaster recovery readiness across platform components, contributing to RPO/RTO objectives and disaster recovery testing.
• Contribute to the Active Directory and DNS environment with a focus on automation, security compliance, and performance.

Tools Used Daily

AWS, Terraform Enterprise, Harness, Ansible, GitHub Copilot, GitHub Actions, ArgoCD, Kargo, Kubernetes, Rancher, Datadog, Splunk, Vault, NetApp, Jira, Confluence.

Required

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of hands-on DevOps experience building and operating a SaaS platform on AWS.
• 3+ years of experience as a platform engineer, contributing to automation and self-service ecosystems.
• 3+ years of Infrastructure as Code experience with Terraform in an AWS environment.
• Strong Kubernetes expertise: workloads, networking, security, cluster lifecycle, operators, and CRDs.
• Solid command of CI/CD practices and GitOps workflows, including ArgoCD, Kargo, and GitHub Actions.
• Experience with monitoring and observability tools such as Datadog, Splunk, or equivalent.
• Exposure to AIOps practices, including intelligent alerting, anomaly detection, and AI-assisted automation with Datadog AI, GitHub Copilot, or equivalent.
• Experience integrating infrastructure resources with Kubernetes workloads, including PVs, PVCs, StorageClasses, and CSI drivers.
• Experience providing L2 support for automation systems and platform infrastructure.
• Strong scripting or development skills in Python, Bash, or Go.
• Passion for automation, documentation, and a platform engineering mindset.

Preferred

• Experience building Kubernetes operators or controllers using controller-runtime or kubebuilder.
• Experience with claim-based or self-service provisioning patterns for infrastructure resources.
• Familiarity with Cilium or an equivalent eBPF-based CNI for Kubernetes networking and security.
• Knowledge of disaster recovery design and testing on AWS.
• FinOps awareness and cloud cost-optimization experience.
• Familiarity with secret-management tools such as Vault.
• Experience with AWS storage services—S3, EBS, EFS, FSx—and/or NetApp ONTAP.
• Experience with backup and data-protection solutions such as AWS Backup or Cohesity.

Compensation & Benefits

The annual base salary range for this role is zł276,300.00–zł349,500.00 based on a full-time schedule. Salary may progress beyond this range through sustained performance and demonstrated success in the role. The position may also be eligible for variable compensation, such as a performance bonus or commission-based plan, and a long-term incentive; the final package is determined by skills, experience, and qualifications.

A comprehensive compensation package includes health, welfare, and wellbeing benefits designed to support professional and personal life.