Senior Data and Analytics Engineer ID89052

AgileEngine, LLC.; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Professional growth

Competitive USD compensation

Education budget

Team activities

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data and Analytics Engineer to maintain production and staging environments, drive cloud infrastructure automation, and support migrations across environments.

You will work on Kubernetes-based systems, CI/CD pipelines, and observability tooling to ensure reliable SaaS operations. Ideal candidates bring 2+ years in SRE/DevOps, strong AWS EKS and Kubernetes experience, and solid scripting in Bash, Python, or Go.

Qualifications

• 2+ years in Site Reliability Engineering, DevOps, or Production Operations.
• Experience with AWS EKS supporting production SaaS.
• Strong understanding of CI/CD systems (GitHub Actions, Jenkins, CircleCI).
• GitOps experience and strong Git fundamentals.
• Experience with GitHub, Jira, and Confluence in collaborative environments.
• Kubernetes experience (EKS, kOps).
• Observability stack (Grafana, Prometheus, Loki, PagerDuty).
• Scripting in Bash/Python/Go.
• IaC (Terraform, Helm).
• DB knowledge (PostgreSQL/MySQL).
• English communication skills.

Responsibilities

• Migrate applications between environments; weekend migrations may be required.
• Monitor production/staging environments for high availability and performance.
• Respond to incidents; perform triage and post-incident analysis.
• Participate in on-call rotation with SLAs.
• Handle operational requests from Product/Support/teams.
• Maintain monitoring, dashboards, logs, and alerts; improve observability.
• Support CI/CD pipelines, releases, and GitOps workflows.
• Contribute to automation to reduce toil.
• Maintain and improve Kubernetes-based infra and containerized workloads.
• Support Infrastructure as Code practices.

Skills

SRE/DevOps experience

AWS EKS

CI/CD systems

GitOps

Kubernetes

Observability stack

Scripting

IaC (Terraform/Helm)

Relational DBs

English communications

Weekend migrations readiness

Tools

GitHub Actions

Jenkins

CircleCI

Job description

Senior Data and Analytics Engineer ID89052

Full time | AgileEngine | Poland

Posted On 09/29/2026

Job Information

City Warsaw

State/Province Mazowieckie

00-002

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a DevOps Engineer to maintain production and staging environments, execute application migrations, and improve the reliability and automation of cloud infrastructure.

WHAT YOU WILL DO

• Migrate applications between environments; these migrations typically take place on weekends, so weekend availability is required.
• Monitor and support production and staging environments in real time, ensuring high availability, performance, and stability.
• Respond to incidents, perform triage and root cause analysis, and contribute to post-incident reviews and remediation efforts.
• Participate in an on-call rotation with defined SLAs.
• Handle ad-hoc and unplanned operational requests from Product, Support, and internal teams.
• Maintain and enhance monitoring, alerting, dashboards, logs, and metrics; improve signal-to-noise ratio and standardize observability practices.
• Support CI/CD pipelines, production releases, and GitOps workflows.
• Contribute to automation efforts to reduce operational toil.
• Maintain and improve Kubernetes-based infrastructure and containerized workloads.
• Support Infrastructure as Code practices and ongoing environment improvements.

MUST HAVES

• 2+ years of experience in Site Reliability Engineering, DevOps, or Production Operations
• Demonstrable AWS EKS experience supporting production environments.
• Experience supporting production SaaS applications.
• Strong understanding of CI/CD systems (GitHub Actions, Jenkins, CircleCI, or similar).
• GitOps experience and strong Git fundamentals.
• Experience using GitHub, Jira, and Confluence in collaborative engineering environments.
• Kubernetes experience (EKS, kOps, or similar).
• Observability stack experience (Grafana, Prometheus, Loki, PagerDuty, or similar).
• Scripting experience (Bash, Python, or Go).
• Infrastructure as Code experience (Terraform, Helm, or similar).
• Working knowledge of relational databases (e.g., PostgreSQL, MySQL) for troubleshooting and operational support.
• Comfortable working within structured operational processes and SLAs.
• Strong written and verbal English communication skills; able to clearly explain technical concepts.
• Self-driven with a growth mindset.
• Weekend availability for application migrations between environments when needed

NICE TO HAVES

• Experience in multi-tenant SaaS environments.
• Experience working in globally distributed teams.
• Familiarity with ChatOps practices.
• Experience improving monitoring quality and reducing alert fatigue.
• Background in operational cost optimization.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.