Senior DevOps Engineer

EIS hires a Senior DevOps Engineer to connect AWS infrastructure, secure networking, platform services, CI/CD, and application deployment into a reliable delivery system. The role owns EIS Suite environments end to end, including infrastructure design, automation, Kubernetes operations, troubleshooting, production support, and improvements to the internal developer platform.

Responsibilities:

• Own solutions end to end - from AWS infrastructure and network design through CI/CD, application configuration, deployment, observability, and production support
• Design and evolve secure, highly available AWS environments, including customer connectivity and hybrid-cloud integrations
• Build reusable Terraform modules and maintain clean, reviewed, version-controlled infrastructure code with controlled change and minimal drift
• Design, improve, and operate Jenkins delivery pipelines and their GitLab integrations, including pipeline-as-code and Groovy-based automation
• Deploy and operate containerized services on Amazon EKS using Docker, Helm, and YAML-based configuration
• Automate Linux and platform configuration with Ansible, including the installation and lifecycle of services such as GitLab, Jenkins, Nexus, SonarQube, and OpenGrok
• Operate GitOps-based EIS Suite deployments across development, pre-production, and production environments through Argo CD, using GitLab as the configuration source and cloud-hosted Helm and container registries as artifact sources
• Implement and troubleshoot AWS networking, DNS, load balancing, identity, permissions, and secure access using least-privilege principles
• Build actionable monitoring, logging, dashboards, and alerts; lead diagnosis of complex incidents across cloud, platform, pipeline, and application-delivery layers
• Embed security and quality controls into automation, including privileged access, secrets handling, code quality, and DevSecOps practices
• Improve engineering standards, create clear operational guidance, review technical solutions, and mentor less experienced engineers
• Use AI-assisted engineering tools thoughtfully to improve automation, code quality, documentation, troubleshooting, and delivery workflows, with appropriate security, review, and human oversight
• Help evolve the internal developer platform as a shared cross-department capability: gather feedback from engineering and delivery teams, contribute reusable self-service patterns and platform improvements, and share ownership of adoption and outcomes across departments

Requirements:

• 5+ years of hands-on experience in DevOps, cloud engineering, platform engineering, site reliability engineering, or a closely related role
• Deep practical knowledge of AWS architecture and services, including EKS, IAM, VPC, Security Groups, Route 53, load balancers, EC2, S3, EBS, RDS, and ElastiCache
• Strong production experience with Terraform, including module design, state management, code review, and safe infrastructure change
• Deep hands-on experience designing, building, troubleshooting, and maintaining Jenkins pipelines, including pipeline-as-code and Groovy automation
• Strong hands-on knowledge of GitLab as a source-control platform, including repository configuration, access controls, merge-request workflows and code reviews, and integration with Jenkins-based CI/CD pipelines
• Solid Linux administration and networking knowledge, including routing, DNS, firewalls, VPN/IPsec, and connectivity troubleshooting
• Hands-on experience with Argo CD and GitOps-based deployment of EIS Suite applications across Kubernetes environments
• Strong Kubernetes, Docker, and Helm skills, including deployment configuration, troubleshooting, scaling, and high-availability considerations
• Practical experience with Ansible for repeatable software installation and configuration management
• Strong Git skills and the ability to automate with Bash and/or Python
• Working knowledge of Java application build and delivery ecosystems, including tools such as Maven, and familiarity with artifact repositories
• A systems-thinking approach to production troubleshooting, with the ability to follow a problem across multiple technical layers and drive it to resolution
• Clear communication, sound technical judgment, and experience collaborating across teams; mentoring or technical leadership experience is expected at senior level
• Experience with AWS CloudFormation or AWS CLI in addition to Terraform
• Experience with Azure or IBM Cloud and an interest in applying common engineering standards across cloud platforms
• Experience with Grafana, Grafana Loki, Prometheus, ELK, or comparable observability platforms
• Experience with Datadog for infrastructure and application monitoring, dashboards, alerting, and troubleshooting including configuration of Datadog Application Performance Monitoring (APM) configuration
• Experience with CyberArk or another privileged access management platform
• Experience with SonarQube, Nexus, OpenGrok, or similar engineering enablement tools
• Knowledge of SQL and NoSQL databases, microservices, and event-driven architectures
• Relevant AWS, Kubernetes, security, or infrastructure-as-code certifications