Senior DevOps Engineer

Remote
plvia Workable ATSPosted Sep 15, 2026
Match with my CV

Technical skills

Data engineeringCI/CDGoogle CloudKubernetesTerraformCloud platformsDevOpsSRE

Methods

Agile

Role signals

Finance

About this role

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We are looking for an on-premises DevOps Engineer for our client in the e-commerce sector.

Job description:

  • Build scalable and high performing infrastructure using IaC practices.
  • Migrating from the public cloud back to on-premises infrastructure.
  • Solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic.
  • Implement monitoring solutions both for infrastructure and business metrics.
  • Own and defend architectural and technical decisions.
  • Contribute to continuous improvement of our technical infrastructure, solutions and practices.
  • Bring new technology trends in the company and preparing a road map to implement them smoothly.

Requirements

  • Experience working with Linux-based systems.
  • Experience with Ansible, Terraform or any Infrastructure as Code tool.
  • Experience in application monitoring (e.g. Grafana, Prometheus, Zabbix).
  • Experience in building CI/CD pipelines.
  • Experience with Virtual infrastructure (Kubernetes / Public Clouds).
  • Server side development skills (Lua, Go).
  • Experience using and managing AI tools.
  • Experience managing proxies.
  • Technologies
  • Haproxy, Ansible, Terraform, Shell, Kubernetes, Google Cloud Platform, ArgoCD, Redis, Kafka.

Benefits

  • Diverse and technically challenging projects.
  • Flexible working hours and a hybrid or remote workplace model.
  • Flexible schedule and an Agile/SCRUM environment.
  • Technical equipment that you can choose.

Before you apply

  • 1Which parts of your CV prove experience with Data engineering, CI/CD, and Google Cloud?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?