Overview

We are seeking a Application Engineer to join our global infrastructure and platform engineering team, helping build software-driven automation for InterSystems Kubernetes-based managed services and SaaS platforms.

You will work with software engineers, Kubernetes architects, DevOps, SRE, and security teams to develop reliable, secure, production-ready platform capabilities. The role combines Go development with hands-on Kubernetes experience, with a focus on turning repeatable operational processes into maintainable platform software.

Key Responsibilities

Develop and maintain Kubernetes-native software in Go, including controllers, Custom Resource Definitions (CRDs), reconciliation logic, and automation components.
Build automation for provisioning, configuration, upgrades, scaling, recovery, and other managed service workflows.
Write maintainable Go code and develop unit, integration, and cluster-based tests.
Support CI/CD pipelines for building, testing, packaging, and releasing Kubernetes platform software.
Integrate with Kubernetes networking, storage, ingress, certificates, scheduling, security, and cluster lifecycle capabilities.
Contribute to automation using Helm, Terraform, GitOps, Argo CD, Flux, and related tooling.
Implement secure defaults, least-privilege RBAC, secrets handling, workload isolation, and operational guardrails.
Build observable and supportable software using logs, metrics, events, health checks, and status conditions.
Troubleshoot Kubernetes workloads, controller behaviour, failed reconciliations, deployments, and automation issues.
Collaborate with engineering, SRE, security, and application teams, and contribute to documentation, runbooks, and knowledge sharing.

Experience & Qualifications

3+ years of experience in software engineering, platform engineering, DevOps, infrastructure automation, cloud engineering, or SRE.
Experience developing in Go, or strong software engineering experience with the ability to work in Go.
Practical experience with Kubernetes, containers, Linux, and cloud-native deployment patterns.
Familiarity with Kubernetes APIs, CRDs, controllers, reconciliation loops, RBAC, events, status conditions, and resource lifecycle.
Experience with Git, CI/CD, automated testing, and code review.
Working knowledge of Helm, Terraform, GitOps, Argo CD, Flux, or similar tooling.
Understanding of Kubernetes security concepts including RBAC, secrets, namespaces, network policies, admission controls, and workload isolation.
Strong troubleshooting, communication, and collaboration skills.

Nice to Have

Experience with Kubebuilder, Operator SDK, controller-runtime, client-go, or similar frameworks.
Experience developing Kubernetes Operators, controllers, admission webhooks, or platform automation.
Experience with EKS, AKS, GKE, Rancher, Spectro Cloud, or similar platforms.
Familiarity with Prometheus, Grafana, Loki, Fluent Bit, ELK/EFK, Istio, Linkerd, Cilium, Velero, Kasten, or Stash.
Open-source contributions to Kubernetes, Go, cloud-native, or platform engineering projects.
Relevant certifications such as CKAD, CKA, CKS, Terraform Associate, or LFCS.

About InterSystems

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

AI Disclaimer

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.

Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), is strictly prohibited during the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.

Application Engineer

Job Description