Senior CloudOps Engineer - Evinova

Role based in Barcelona - 3 days at office / 2 days at home

As a Senior CloudOps Engineer, you will serve as a technical leader within our Platform Operations group—driving operational excellence across our global SaaS platform. You will own complex cloud operations, strengthen CI/CD reliability, lead cost-optimization initiatives, and provide deep expertise in AWS, Kubernetes (EKS), and database operations (MongoDB and/or RDS Aurora).

This role requires a strong operations mindset, the ability to diagnose and resolve complex issues, and the capability to influence engineering practices across teams. You will mentor junior engineers, lead automation efforts, and help shape the standards that ensure the platform is secure, reliable, and cost-efficient at scale.

Key Responsibilities

Cloud Operations & Reliability Ownership

Lead day-to-day operational support across AWS accounts (EC2, EKS, RDS, S3, VPC, IAM).

Own lifecycle management activities, including patching, scaling, performance tuning, and backup strategy.

Serve as an escalation point for major incidents; lead root-cause analysis and post-incident reviews.

Improve operational resilience through automation, standardization, and proactive monitoring.

CI/CD, Automation & Platform Enablement

Architect improvements to CI/CD pipelines (ArgoCD, GitHub Actions, Jenkins) to increase reliability and reduce deployment friction.

Drive automation of repetitive operational tasks using Python, Bash, or similar.

Partner with engineering teams to streamline environment provisioning and deployments.

Mentor CloudOps engineers on CI/CD patterns and operational guardrails.

FinOps Leadership & Cost Optimization

Lead cloud cost-efficiency initiatives across compute, storage, data services, and networking.

Analyze usage trends and guide right-sizing, modernization, and storage tiering strategies.

Partner with engineering and FinOps teams to forecast cloud spend and identify optimization opportunities.

Drive accountability by defining and tracking cost KPIs across services.

Database Engineering & Data Operations

Lead operational ownership of MongoDB and/or RDS Aurora (performance tuning, scaling, failover, backup/restore validation).

Diagnose and resolve complex database issues impacting availability or performance.

Guide application teams on efficient usage patterns for MongoDB/RDS Aurora.

Contribute to improvements in backup strategy, disaster recovery, and data resiliency.

Observability, Monitoring & Incident Management

Design and enhance monitoring, alerting, and dashboards (CloudWatch, Grafana, Splunk, OpenTelemetry). Build and maintain runbooks, SLOs, and operational playbooks.

Improve alert quality, signal-to-noise ratio, and overall response processes.

Champion observability adoption across teams to reduce MTTR and improve uptime

Security, Compliance & Operational Governance

Enforce strong IAM governance, least-privilege access, and secure operational patterns.

Lead patching, vulnerability remediation, and evidence collection for compliance (SOC 2, ISO 27001, HIPAA).

Partner with Security to maintain audit readiness and reduce operational risk.

Identify control gaps and contribute to continuous compliance automation.

Required Experience & Qualifications

5–8+ years in CloudOps, DevOps, SRE, or infrastructure engineering roles.

Deep, hands-on experience operating AWS environments at scale (EC2, RDS, EKS, S3, CloudWatch).

Production-level expertise with MongoDB and/or RDS Aurora (operations, optimization, DR).

Strong automation and scripting capability (Python, Bash, or similar).

Hands-on experience supporting CI/CD pipelines and deployment platforms.

Strong troubleshooting and performance-tuning skills across cloud, networking, and application layers.

Experience with observability tooling (CloudWatch, Grafana, Splunk, OpenTelemetry).

Ability to mentor junior engineers and lead operational improvements.

Operations leader: thrives in environments where reliability, cost-efficiency, and stability matter most.

Proactive problem solver: anticipates issues and drives long-term technical improvements.

Data-driven: uses metrics, logs, and cost data to guide decisions.

Collaborative communicator: comfortable partnering with engineering, product, and compliance.

Desired Experience & Qualifications

Advanced Kubernetes operations experience (Amazon EKS; scaling, upgrades, troubleshooting).

Strong understanding of FinOps principles and AWS cost-management tooling.

Experience with additional data technologies (PostgreSQL, MySQL, Kafka).

Familiarity with regulated environments (HIPAA, GDPR, NIST, GxP).

Experience contributing to DR planning, failover testing, or reliability engineering programs.

Join Evinova and redefine healthcare with us. Apply now to be part of a team that’s transforming life sciences with technology, data, and innovation.