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Site Reliability Engineer

San Francisco, CA, United States

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

About the team

The Swish Analytics DevSecOps and Infrastructure team is looking for an experienced Site Reliability Engineer based in Europe who will support our enterprise infrastructure during non-US hours. In addition to supporting you will assist in optimizing incident response, observability, and working with technical teams to improve overall workload resiliency.

Responsibilities

Support production systems and help triage issues during live sporting events

Monitor the system and respond to incidents to maintain system SLO/SLA, review and follow up production incidents

Write and review code, develop documentation, and debug problems, live, on complex distributed systems

Optimize and facilitate incident response, conduct root cause analysis and blameless retrospectives

Work closely with technical teams to implement, optimize, maintain, scale and debug workloads on Kubernetes using CI/CD, automation tools and scripting languages to deliver tools/software to improve the reliability and scalability of services

Qualifications

3+ years of experience working in an SRE leaning DevOps or full SRE roles

3+ years building CICD pipelines with Github Actions, Gitlab CICD, or similar

Extensive experience with Kubernetes

Experience in managing customer-facing systems in a 24/7 environment including escalations

Experience triaging and escalation policies/protocols

Strong communication and documentation skills

Comfortable with scripting languages like Bash, Python, or similar

Preferred

Networking and routing experience

Terraform in AWS to support global-scale services

Improving observability in an engineering organization

Past experience with PagerDuty or similar tools

*No third-party recruiters please

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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