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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - Platform Operations - **Company:** Data Specialties Inc. - **Location:** Waterville, ME, United States (Remote available) - **Experience:** Expert - **Salary:** $135,200.0 - $156,000.0 - **Contract:** Temporary to permanent - **Skills:** SAP Cloud, Amazon Web Services, Business Analytics Applications, Software as a Service, Cloud Computing, Configuration Management, Cyber Security, Computer Engineering, Continuous Integration, DevOps, Github, Monitoring of Systems, Identity and Access Management, Key Management, Power BI, Ansible, SAP NetWeaver Business Warehouse, Software Engineering, Tableau (Software), Cloud Platform System, Grafana, SAP Business Technology Platform, Gitlab-ci, Kubernetes, Information Technology, Hashicorp, Terraform, Dynatrace, Devsecops, AWS EKS, Jenkins, Servicenow - **Published:** September 16, 2026 - **Apply:** https://mondo.gosnaphop.com/jobs/l/login/c8336608-98ca-11ec-8029-42010a8a0008/3f3dd853-b19f-11f1-9a74-024201c20d84/false?applyId=ce9fbd15-a893-11f1-8336-024201c20d84&apply=true&returnUrl=%2Fjobs%2Fl%2Frecruiting%2Fjobapplication%2Fce9fbd15-a893-11f1-8336-024201c20d84%2F3f3dd853-b19f-11f1-9a74-024201c20d84%2Ffalse%3Fstep%3D1 ## About the Role The ideal candidate has strong hands-on experience troubleshooting Terraform and Jenkins in production environments and is comfortable independently investigating customer and internal support issues before escalating them. This is an excellent opportunity for an experienced DevOps professional who enjoys solving complex production problems, working across cloud and container environments, and improving the reliability of enterprise platforms., * 5 years of DevOps, platform engineering, software engineering, or related experience. * Strong hands-on experience with Terraform, including troubleshooting production infrastructure issues-not simply exposure to the tool. * Strong experience maintaining and troubleshooting Jenkins CI/CD pipelines. * Hands-on experience with Kubernetes and AWS EKS. * Experience with Ansible or comparable configuration-management automation. * Previous experience participating in a production on-call rotation. * Strong AWS cloud knowledge, including familiarity with compute, networking, storage, and IAM. * Experience troubleshooting complex production systems using logs, monitoring tools, and systematic root-cause analysis. * Ability to work independently and take ownership of technical issues before escalating. * Strong written and verbal communication skills. * Strong problem-solving skills and a customer-service mindset. * Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field, or equivalent applicable professional experience., * SAP Analytics Cloud (SAC) experience. * SAP BTP experience. * Experience with enterprise BI or analytics platforms such as Tableau, Power BI, or SAP BW. * Experience with HashiCorp Vault. * Experience with Dynatrace, Grafana, or comparable monitoring/APM tooling. * Experience with Helm. * Experience with GitLab CI, GitHub Actions, or other CI/CD platforms. * Experience working in Agile delivery environments. * Experience supporting SaaS, analytics, or other large-scale cloud-native platforms., We're looking for someone who can hit the ground running in a production DevOps environment. You should be comfortable investigating an issue from the initial ticket through logs, infrastructure, pipelines, and Kubernetes workloads to determine the underlying cause. Successful candidates are curious, resourceful, collaborative, and comfortable working independently. The environment requires patience during onboarding and a willingness to review existing documentation, learn the platform, and suggest improvements. Clear and concise communication is especially important. Candidates should be able to explain technical problems and solutions confidently without unnecessarily overcomplicating them. *, We're looking for someone who can hit the ground running in a production DevOps environment. You should be comfortable investigating an issue from the initial ticket through logs, infrastructure, pipelines, and Kubernetes workloads to determine the underlying cause. Successful candidates are curious, resourceful, collaborative, and comfortable working independently. The environment requires patience during onboarding and a willingness to review existing documentation, learn the platform, and suggest improvements. Clear and concise communication is especially important. Candidates should be able to explain technical problems and solutions confidently without unnecessarily overcomplicating them. ## Description We are seeking an experienced DevOps Engineer to support cloud-based platforms and services within a highly secure enterprise environment. This position is heavily focused on production operations, troubleshooting, CI/CD pipeline support, infrastructure-as-code, Kubernetes, and operational reliability., * Troubleshoot customer and internal production tickets, identifying root causes and resolving issues before escalation when possible. * Monitor platform and application environments and investigate logs using tools such as Grafana, Dynatrace, or similar monitoring/APM platforms. * Maintain and troubleshoot existing Jenkins CI/CD pipelines, ensuring deployments and automation remain reliable. * Use Terraform to support infrastructure changes, resolve configuration drift, and maintain consistency across environments. * Support containerized applications and services running on Kubernetes and AWS EKS. * Deploy and maintain workloads using Helm. * Automate configuration management and operational activities using Ansible. * Support secure configuration and secrets management using technologies such as HashiCorp Vault. * Diagnose Kubernetes pod, service, deployment, and infrastructure issues. * Perform root-cause analysis and resolve production defects. * Participate in an on-call rotation and respond to production incidents within established SLAs. * Support occasional scheduled after-hours maintenance windows. * Review technical documentation and identify opportunities to improve processes, procedures, and knowledge sharing. * Collaborate with engineering, security, cloud operations, data, and application teams. * Support platforms and services related to SAP Analytics Cloud and other enterprise analytics environments., This position participates in a rotating production support schedule. Engineers may be on call for one week at a time and are expected to respond to incidents within approximately 30 minutes. The team also performs occasional scheduled after-hours maintenance, including quarterly windows that may occur between approximately 12:00 AM and 2:00 AM.