Site Reliability Engineer

Responsibilities

• Build and maintain infrastructure for distributed systems (Kubernetes, Kafka, Postgres, Cassandra, Redis)
• Improve monitoring, alerting, dashboards, SLIs/SLOs, and system visibility
• Partner with engineering to enhance reliability across critical services
• Advance CI/CD pipelines, deployment safety, and automated provisioning
• Analyze performance metrics, troubleshoot issues, and drive RCA
• Lead incident response and long-term remediation
• Implement automation, observability tooling, chaos testing, and predictive analytics
• Support system design reviews, capacity planning, and platform improvements
• Promote documentation, mentorship, and a blameless engineering culture

• Bachelor's degree in Computer Science or related discipline (or equivalent experience)
• Cloud, Dev Ops, SRE, or Kubernetes certifications preferred
• CKA certification is a strong plus
• Strong engineering background;
  Proficiency in Go, Java, or Python
• Cloud experience (AWS/Azure/GCP) and distributed systems expertise
• Advanced Kubernetes experience; CKA preferred
• Experience with modern observability tools (Prometheus, Grafana, Datadog, Splunk, ELK, Jaeger)
• CI/CD (Git Lab), Linux OS expertise, troubleshooting, and RCA excellence
• Strong communication and cross‑team collaboration skills
• Proven expertise in software development with a strong focus on building and supporting large‑scale distributed systems
• Proficiency in one or more high‑level programming languages commonly used in distributed environments, such as Go (Golang), Java, or Python
• Extensive experience working with cloud providers such as AWS, Azure, or GCP, including hands‑on development of cloud‑native services
• Advanced expertise with Kubernetes and container orchestration platforms
• Experience with distributed storage technologies including NFS, HDFS, Ceph, and Amazon S3, as well as resource management frameworks such as Mesos or Yarn
• Deep understanding of CI/CD pipelines, automation, and deployment tools (e.g., Git Lab)
• Expert‑level knowledge of Linux operating systems, including performance tuning, debugging, and system internals
• Strong proficiency with modern monitoring and observability tools, such as Prometheus, Grafana, Datadog, Splunk, ELK, Jaeger, and Nagios Core
• Highly developed troubleshooting abilities, including advanced root cause analysis skills for complex production issues
• Solid business analysis skills with the ability to integrate cross‑functional metrics and align engineering work with business outcomes
• Prior Principal SRE or reliability leadership experience
• Experience with AI/ML for predictive analytics and anomaly detection

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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