DevOps Engineer

We are seeking a skilled and self-driven DevOps Engineer to join our engineering team and help build, optimize, and secure modern cloud infrastructure. This role is ideal for professionals who thrive in dynamic, high-impact environments and have deep hands-on experience across CI/CD pipelines, container orchestration, cloud services (especially AWS), and Infrastructure. We are looking for DevOps Engineer with 4 years of experience ideally in Financial Industry. The role will primarily focus on deployments and it is important to be open to learning the client product and related technologies .

Salary: from 1900 EUR/month, depending on skills and experience + benefits. The final offer for the selected candidate will reflect the candidate´s comprehensive assessment, skills, and past work experience.

Location: Slovakia only

Key Responsibilities

• Perform client solution upgrades across XSE environments, ensuring smooth deployments with minimal service disruption.

• Troubleshoot, resolve complex infrastructure, and platform issues related to Kubernetes, Karpenter, node affinity, and cluster configurations.

• Manage both Out-of-the-Box (OOTB) and customized container images, including configuration comparisons and alignment with standard product releases.

• Execute end-to-end AVA installation and configuration activities, including deployment, validation, testing, and technical documentation.

• Configure, validate, and support Single Sign-On (SSO) integrations across multiple environments.

• Investigate and resolve infrastructure, application, deployment, and configuration issues encountered during upgrade and implementation projects.

• Collaborate closely with Development, DevOps, R&D, and customer teams to ensure timely issue resolution and successful project delivery.

• Support Production, UAT, and Development environments through deployments, upgrades, validations, and post-implementation activities

Qualifications and Skills

· Strong ability to work independently or lead smaller DevOps initiatives

· Experience supporting fast-paced waterfall teams with automation and tooling

· Excellent debugging and root cause analysis skills in distributed environments

· Strong communication skills, ability to interact with cross-functional teams and clients

Core Skills

• Containerization: Strong understanding of Docker and containerized application deployment principles.
• Amazon EKS & Kubernetes: Hands-on experience with Kubernetes fundamentals, including Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, and Persistent Volumes.
• CI/CD Pipelines: Familiarity with Jenkins for monitoring and managing deployment workflows.
• Application Deployment & Automation: Experience deploying and supporting applications using Ansible-based automation and deployment frameworks.
• AWS Cloud & Observability: Ability to use AWS services and the AWS Console to monitor EKS clusters, application workloads, databases, and load balancers.
• Networking Fundamentals: Working knowledge of Kubernetes networking concepts and AWS load balancing technologies, including ALB, NLB, and Ingress controllers.
• Deployment Analysis & Troubleshooting: Ability to investigate and resolve deployment, configuration, and environment-related issues across containerized platforms.
• Configuration & Release Management: Experience reviewing and validating deployment artefacts such as Ansible playbooks, Helm charts, and application configuration files.
• Solution Architecture Awareness: Understanding of containerized application architecture and how application configurations, secrets, storage, and networking components interact within Amazon EKS environments.

What Makes You a Great Fit

· 4 –6 years of experience in DevOps and infrastructure automation

· Expertise in AWS services and hybrid cloud environments

· Strong skills in CI/CD tools (Jenkins, GitHub Actions, GitLab)

· Hands-on with Infrastructure

· Proficient in containerization and orchestration (Docker, Kubernetes)

· Skilled in scripting (Python, Bash, Groovy, YAML)

· Experience with monitoring tools

· Familiarity with databases like Postgres, SQL, Redis, MongoDB

· Ability to lead initiatives and troubleshoot complex distributed systems