Senior Application Engineer
Indexed description
What You’ll Do
- Design, build, and maintain Kubernetes Operators, controllers, CRDs, APIs, and automation using Go.
- Automate provisioning, upgrades, scaling, recovery, configuration, and other platform lifecycle workflows.
- Build reliable, observable, secure, and resilient controllers that handle retries, drift, failures, and changing cluster state.
- Develop strong automated test coverage and contribute to CI/CD, GitOps, Helm, and infrastructure automation.
- Integrate platform software across public cloud, private cloud, and on-premises Kubernetes environments.
- Apply secure Kubernetes practices including RBAC, secrets management, admission controls, and workload isolation.
- Improve platform reliability through observability, troubleshooting, post-incident improvements, and operational automation.
- Mentor engineers and help establish engineering standards and best practices.
- 8+ years of experience in software, platform, cloud, DevOps, infrastructure automation, or SRE engineering.
- Strong production development experience with Go.
- Hands-on experience building Kubernetes Operators, controllers, CRDs, admission webhooks, or similar Kubernetes-native software.
- Strong understanding of Kubernetes APIs, reconciliation patterns, RBAC, finalizers, status conditions, and object lifecycle.
- Experience supporting production Kubernetes environments and distributed systems.
- Strong knowledge of automated testing, CI/CD, GitOps, Helm, Linux, containers, networking, storage, and Kubernetes troubleshooting.
- Experience applying Kubernetes security practices.
- Strong communication skills and experience mentoring or influencing other engineers.
- Experience with technologies such as Kubebuilder, Operator SDK, controller-runtime, Terraform, Argo CD, Flux, EKS, AKS, GKE, Prometheus, Grafana, Istio, Linkerd, or Cilium, as well as experience in regulated or mission-critical environments.
- Relevant Kubernetes, Terraform, cloud DevOps, or Linux certifications are also beneficial.
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.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search