SRE Engineer (On-Prem)

Star

Sunnyvale (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Star is looking for an experienced Elastic SRE Engineer in Sunnyvale, California, to enhance their on-premise Elasticsearch platform. Candidates should have strong hands-on experience with the Elastic stack and Kubernetes, and a solid understanding of Linux systems. The role includes responsibilities like managing production operations and ensuring high availability, alongside a supportive work environment. Join us for a rewarding compensation package and career development opportunities in a diverse and inclusive setting.

Qualifications

  • Strong experience with Elastic stack and production support.
  • Experience managing Kubernetes infrastructures and Linux systems.
  • Ability to automate operations using scripting languages.

Responsibilities

  • Administer and operate Elastic clusters on Kubernetes.
  • Manage production operations like monitoring and incident response.
  • Implement backup, high availability, and disaster recovery strategies.

Skills

Elastic stack (Elasticsearch, Kibana, Fleet Server, etc.)
Production support
Kubernetes infrastructure management
Linux systems
Monitoring tools (Grafana, Prometheus)
Scripting (Python, Bash)
Excellent communication skills
Advanced English skills

Education

Bachelor's degree or equivalent work experience

Tools

Kubernetes
Elastic clusters

Job description

We are looking for you!

We are seeking an experienced Elastic SRE Engineer to support the development, operation, and ongoing management of our on‑premise Elasticsearch platform within a security‑focused environment for a leading software engineering and consulting company focused on digital transformation, cloud solutions, AI, and enterprise application development. The project environment is highly international and technology‑driven, with strong focus on modern architecture, cloud‑native solutions, data engineering, and AI implementation. Teams work closely with clients on complex enterprise platforms, helping businesses modernise legacy systems and deliver high‑quality digital experiences.

Skills and experience you can bring to this role!

Qualifications & Experience

  • Strong hands‑on experience with Elastic stack (Elasticsearch, Kibana, Fleet Server, Elastic Agent and Search Ingest Pipeline).
  • Production support.
  • Managing on‑premise Kubernetes infrastructure.
  • Good understanding of Linux systems, networking, and storage.
  • Monitoring and alerting tools such as Grafana, Prometheus, Loki, VictoriaMetrics.
  • Automation using scripting with Python, Bash, etc.
  • Excellent communication skills.
  • A bachelor’s degree (or equivalent work experience).
  • Advanced spoken and written English skills.
  • Nice to have: Experience in security environments or SIEM use cases.
  • Nice to have: Experience using Kafka at high scale as part of the log ingestion pipeline.
What Impact You’ll Make
  • Administer and operate Elastic clusters on Kubernetes using ECK and data streams (deployment, scaling, upgrades).
  • Manage production operations: monitoring, incident response, troubleshooting, and performance tuning.
  • Implement backup/restore, high availability, and disaster recovery strategies.
  • Optimize indexing, ES|QL query performance, and cluster health.
  • Support security configurations (RBAC, access control, audit logging).
  • Maintain operational runbooks and documentation.
  • Take part in the on‑call rotation (1 week 24*7 on call per month).
What You’ll Get

We offer a rewarding compensation and benefits package, an intellectually and creatively stimulating environment, professional flexibility, and unique travel and career development opportunities.

Star is an Equal Opportunity Employer. We believe that equity, diversity, and inclusion are key to our ability to provide our clients and crew members with unique business and career outcomes. Your race, colour, ancestry, religion, gender, identity, sexual orientation, age, marital status, and disability have no effect on our hiring decisions. If you have a special need that requires accommodation, please let us know.

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