- Softeq
- Lithuania, KU
- Full-Time
- 68 days ago
- $75,000 – $84,000
Senior DevOps Engineer.
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Senior DevOps Engineer: our view in 3 lines...
- The Role:This role is for an experienced DevOps engineer working on cloud infrastructure, CI/CD, Kubernetes, and automation in a technology consultancy.
- The Person:The person will architect and maintain cloud infrastructure, build and improve delivery pipelines, manage Kubernetes production environments, automate operations, and mentor other engineers.
- Requirements:The ideal candidate has 5+ years in DevOps, SRE, or Cloud Engineering, with expertise in AWS, GCP or Azure, Kubernetes, Python, Go, Bash, Terraform, Helm, CI/CD, GitOps, and policy-as-code.
About the role
Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together!
Locations/type of contract:
- Vilnius, Lithuania (employment contract)
- Poland (employment or B2B contract)
Key Responsibilities:
- Architect and maintain highly available, secure cloud infrastructure, primarily on AWS,GCP, Azure;
- Lead CI/CD efforts by building and improving pipelines (GitHub Actions, GitLab CI, Jenkins, etc.);
- Manage Kubernetes clusters in production, including Helm charts, auto-scaling, and service mesh;
- Implement Infrastructure as Code (IaC) using Terraform, Pulumi, or similar tools;
- Automate provisioning, configuration management, monitoring, and incident response;
- Drive observability across systems with tools like Prometheus, Grafana, Loki, Datadog, or ELK;
- Collaborate with software engineers to enable fast, safe, and repeatable deployments;
- Mentor team members and establish DevOps best practices across the organization;
- Ensure compliance and security through automation, policy-as-code, and secure pipeline management;
- Use AI coding assistants (e.g., Claude Code, GitHub Copilot) to speed up automation scripting, IaC development, and troubleshooting;
- Apply AIOps practices (anomaly detection, automated root-cause analysis) to improve incident response and operational efficiency.
Requirements:
- 5+ years of experience in DevOps, SRE, or Cloud Engineering roles;
- Expertise with cloud platforms (AWS preferred; GCP or Azure also valuable);
- Production experience with Kubernetes and containerized workloads;
- Strong skills in scripting or programming (e.g., Python, Go, Bash);
- Deep understanding of CI/CD, GitOps (Argo CD, Flux, or similar), and modern deployment strategies (blue/green, canary, etc.);
- Hands-on experience with Terraform, Helm, and cloud networking concepts;
- Working knowledge of policy-as-code (OPA, HashiCorp Sentinel, or similar);
- Familiarity with monitoring, alerting, and incident management best practices;
- Proven ability to work cross-functionally with engineering, security, and QA teams;
- Strong communicator and mentor; able to guide and uplift other engineers;
- Practical experience using AI-assisted development or ops tools (e.g., GitHub Copilot, Claude Code) in daily workflows.
Preferred Qualifications:
- Certifications such as AWS DevOps Engineer, CKA, or Terraform Associate;
- Background in scaling SaaS or multi-tenant platforms;
- Experience with secrets management (Vault, AWS Secrets Manager);
- Experience building or integrating AIOps solutions (anomaly detection, automated root-cause analysis, predictive scaling).
Softeq communicates only from @softeq.com email addresses. We never request payments or fees for any reason during hiring — including trainings or courses to be completed, equipment, onboarding, or background checks — and we will not ask for banking information, cryptocurrency or gift cards. If you receive a message from any other domain or requesting payment, do not respond and report it to abuse@softeq.com

