Senior Data and Analytics Engineer ID89052

AgileEngine, LLC.; Lisboa; Presencial; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Resumo da oferta

AgileEngine in Lisbon, Portugal, seeks a Senior Data and Analytics Engineer who will function as a DevOps Engineer responsible for maintaining production and staging environments, performing migrations, and improving cloud reliability.

You will monitor real-time systems, support CI/CD pipelines, and contribute to observability and automation. Experience with Kubernetes, GitOps, and IaC is essential; weekend migrations may be required.

Qualificações

• 2+ years of experience in Site Reliability Engineering, DevOps, or Production Operations.
• Experience with AWS EKS in 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.

Responsabilidades

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

Conhecimentos

DevOps

SRE

Kubernetes

CI/CD

GitOps

Bash

Python

Go

Terraform

Relational DBs

English Communication

Ferramentas

AWS EKS

GitHub

Jira

Confluence

Grafana

Prometheus

Loki

PagerDuty

Terraform

Helm

Descrição da oferta de emprego

Senior Data and Analytics Engineer ID89052

Full time | AgileEngine | Portugal

Posted On 09/29/2026

Job Information

City Lisboa

State/Province Lisboa

1200-629

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.