Senior DevOps Engineer

Project overview

Looking for a Senior DevOps Engineer

ABOUT THE ROLE

Our client is a fast-growing security-tech scale-up whose software is used by large financial institutions to protect their customers. To support its growth, our client is looking for a Senior DevOps Engineer who connects development and operations and takes ownership of a reliable, scalable and secure software delivery lifecycle.

In this role you manage cloud-native infrastructure on AWS, drive GitOps and CI/CD practices and make deployments seamless, both internally and within customer environments. A key part of the job is closing the gap between customer installations and the company’s standard templates, so that multiple enterprise deployments remain consistent, maintainable and compliant. You bring experience with enterprise-scale installations and know the common pitfalls of running many deployments side by side.

You work closely with software developers, data scientists and security stakeholders, support AI/ML workloads on compute clusters and design solutions that are future-proof and easy to use for development teams. You are a trusted advisor on trade-offs, take part in the 24/7 on-call pool for critical incidents and help build a culture of continuous improvement.

Responsibilities

• Design, implement and advise on CI/CD pipelines using GitLab CI and Argo CD to streamline software delivery.
• Implement and maintain GitOps practices to automate infrastructure and application deployments from Git repositories.
• Manage and maintain existing AWS cloud environments, including EC2, EKS, S3, IAM and VPC.
• Build and maintain Infrastructure as Code with Terraform and manage Kubernetes deployments with Helm.
• Close the gap between customer deployments and standard templates to keep multiple enterprise installations consistent.
• Support and execute API deployments, both internally and within customer environments.
• Proactively identify required maintenance and ensure timely execution to guarantee stability and reliability.
• Implement monitoring, logging and alerting with Grafana, Prometheus, AWS CloudWatch, Elasticsearch and OpenSearch.
• Perform structured root cause analyses independently and implement sustainable fixes.
• Embed unit testing, code coverage, dependency checks and security scans in pipelines according to agreed standards.
• Implement and maintain security protocols, IAM policies and cloud security best practices within DevOps processes.
• Maintain compute clusters for AI/ML workloads and enable smooth collaboration between Data Scientists and Developers.
• Optimise cloud consumption and infrastructure costs based on FinOps principles.
• Uphold team and product SLAs and participate in the 24/7 on-call pool for critical incidents.

Requirements

Must-haves

Nice-to-haves

COMPETENCIES

TECH STACK

• Senior level experience as a DevOps, Platform or Cloud Engineer, including enterprise scale installations.
• Proven experience maintaining multiple deployments and awareness of their common pitfalls.
• Extensive hands-on experience with AWS services such as EC2, EKS, S3, IAM and VPC.
• Strong experience designing and maintaining CI/CD pipelines with GitLab CI and Argo CD.
• Strong knowledge of Infrastructure as Code with Terraform or an equivalent technology.
• Hands-on experience managing Kubernetes deployments with Helm.
• Proven experience with observability using Grafana, Prometheus and AWS CloudWatch.
• Experience with log management and analytics platforms such as Elasticsearch and OpenSearch.
• Experience designing and troubleshooting AWS networking components and architectures.
• Strong understanding of IAM and cloud security best practices.
• Software development background with practical experience in Java, Python and/or Go.
• Solid understanding of the software delivery lifecycle, including version control, code reviews and release management.
• Experience with Apache Kafka and event-driven architectures.
• Knowledge of FinOps principles and a track record in cloud cost optimisation.
• Experience supporting AI/ML workloads and compute clusters.
• Experience deploying and supporting software within customer environments.
• Background in cybersecurity, fintech or another regulated environment.
• Relevant certifications such as AWS Certified DevOps Engineer, AWS Solutions Architect or CKA.
• Strong stakeholder management towards developers, data scientists and customers.
• Clear communication of ideas, trade-offs and proposed technical solutions.
• Analytical mindset with a structured, step-by-step approach to root cause analysis.
• Working according to Agile and DevOps principles with a focus on continuous improvement.
• Ownership of systems, incidents and outcomes, from design to operation.
• Proactive in spotting risks, maintenance needs and improvement opportunities.
• Structured and precise in building and maintaining systems and infrastructure.
• Produces clear, complete and transferable documentation.
• Ability to translate internal and external customer requirements into workable solutions.
• Positive, active attitude towards information security, business continuity and privacy.
• AWS (EC2, EKS, S3, IAM, VPC, CloudWatch)
• Kubernetes, Helm
• Terraform
• GitLab CI, Argo CD, GitOps
• Grafana, Prometheus
• Elasticsearch, OpenSearch
• Apache Kafka
• Java, Python, Go

Project details

• Start: flexible
• Location: Amsterdam, NL
• Languages: English