Senior DevOps Engineer

Remote from
Europe
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
4 Aug 2026
Experience level
Senior
Views / Applies
24 / 1

About Zartis

Your Compass for AI Transformation.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Zartis is seeking a Senior DevOps Engineer to join a distributed team working on a travel tech project. The role involves modernizing CI/CD pipelines, managing AWS infrastructure with Terraform, and supporting containerized workloads on ECS/Fargate. You will drive DevOps culture, coach developers, and collaborate with backend engineers. This is a 100% remote position with a focus on improving build and deployment efficiency.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires 5+ years of experience, deep expertise in AWS and CI/CD, and the ability to drive modernization in a fast-paced environment, making it challenging but not at the principal level.

Salary Analysis

Median Highly Competitive
$155,000
US Market
$130k – 180k
0 $198k
AI Insight The salary details are not provided, but for a Senior DevOps Engineer in the US market, the typical range is $130,000 - $180,000 per year. The offered compensation is likely competitive, especially considering the fully remote nature of the role.

Dear Hiring Team,

I am excited to apply for the Senior DevOps Engineer position at Zartis. With over 5 years of experience in DevOps and cloud engineering, I have a proven track record of modernizing CI/CD pipelines and managing AWS infrastructure at scale. I am particularly drawn to this opportunity because of the focus on legacy-to-microservices migration and the culture of DevOps transformation.

In my previous role, I led the redesign of Jenkins pipelines and implemented Terraform for infrastructure as code, resulting in a 40% reduction in deployment times. I also have hands-on experience with ECS/Fargate, Kafka, and monitoring stacks like CloudWatch and Grafana. I am passionate about coaching teams and driving DevOps best practices, aligning perfectly with the responsibilities outlined in this job description.

I thrive in fast-paced, collaborative environments and am comfortable making independent decisions. I look forward to the possibility of contributing to Zartis' impactful projects and would love to discuss how my skills can benefit your team.

Sincerely, [Your Name]

Describe your experience with CI/CD pipeline modernization. What improvements did you implement and what metrics did you use to measure success?
I led a project to modernize Jenkins pipelines by moving to declarative pipelines, implementing parallel stages, and integrating with SonarQube for code quality. This reduced build time from 30 minutes to 10 minutes and deployment failures by 50%. I tracked success using deployment frequency, lead time for changes, and change failure rate.
How would you design AWS infrastructure for a microservices architecture using Terraform?
I would use a modular Terraform approach with separate state files per environment. I'd define VPC, subnets, ECS clusters, load balancers, and auto-scaling policies as reusable modules. I'd also implement remote state storage in S3 with DynamoDB locking. For security, I'd use IAM roles and security groups following least privilege.
Explain your approach to container orchestration with ECS/Fargate. How do you manage scaling and cost optimization?
I define task definitions with resource limits and use service auto-scaling based on CloudWatch metrics like CPU and memory. For cost optimization, I use Fargate Spot for non-critical workloads, right-size containers, and monitor with Cost Explorer. I also implement lifecycle hooks for graceful shutdown.
How do you handle monitoring and incident response in a distributed system with Kafka?
I set up CloudWatch alarms for Kafka broker metrics and use Grafana dashboards for real-time visibility. I implement structured logging with CloudWatch Logs Insights for querying. For incident response, I use a runbook approach with automated alerts via PagerDuty, and I ensure there are escalation paths and post-mortems.
Describe a time you coached a development team on DevOps practices. What challenges did you face and how did you overcome them?
I worked with a Java team that had limited CI/CD experience. I started with workshops on pipeline basics and gradually introduced best practices like code reviews for infrastructure changes. Challenges included resistance to changing workflow; I overcame this by demonstrating quick wins like reducing build times and providing dedicated support. Eventually, they adopted trunk-based development.

The company and our mission: 

Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.

Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.

With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.

We are looking for a Senior DevOps Engineer to work on a project in the Travel Tech industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will be part of a distributed team embedded within an engineering modernisation programme, migrating a legacy platform to a microservices architecture. The focus is on dramatically improving build and deployment efficiency through modern CI/CD practices, cloud infrastructure, and DevOps culture change.

We are looking for someone with strong communication skills, ideally with experience making decisions independently, being proactive, working in fast-moving environments, and with excellent attention to detail.

We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail. 

What you will do:

  • Own and drive the modernisation of CI/CD pipelines, significantly reducing build and deployment times

  • Design, implement, and maintain AWS infrastructure using Terraform (IaC)

  • Manage and optimise containerised workloads on ECS / Fargate and EC2

  • Configure and maintain monitoring and observability stacks (CloudWatch, Grafana, Datadog)

  • Support Kafka-based event streaming infrastructure

  • Collaborate with Java/backend engineers across delivery streams

  • Drive DevOps culture within engineering teams — coach developers on pipeline usage, infrastructure practices, and tooling

  • Identify and remediate infrastructure inefficiencies, including deprecated resources and cost optimisation

  • Contribute to AI-assisted engineering workflows where relevant

  • Participate in team ceremonies and provide clear progress updates to stakeholders

What you will bring:

  • 5+ years in a DevOps, Platform, or SRE engineering role

  • Strong AWS expertise: ECS/Fargate, EC2, VPC, ELB, CloudWatch

  • Proven experience with CI/CD pipeline design and optimisation — Jenkins in particular

  • Hands-on Terraform experience in production environments

  • Docker and container orchestration experience in production

  • Kafka or equivalent event-streaming platform experience

  • Experience working in embedded or staff-augmentation models, ideally within product engineering teams

  • Strong communication skills — ability to explain infrastructure concepts to non-DevOps engineers

Nice to have:

  • Experience working with legacy-to-modern migration programmes

  • SaltStack configuration management experience

  • Familiarity with AI-assisted engineering tooling

What we offer: 

  • 100% Remote Work

  • WFH allowance: Monthly payment as financial support for remote working.

  • Career Growth: We have established a career development program accessible for all employees with a 360º feedback that will help us to guide you in your career progression.

  • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

  • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

  • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

  • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.

Apply now >

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