Site Reliability Engineer
Swish Analytics
San Francisco, CA - Remote
Salary: -
π² betting
Analytics
Note: This job has expired and is no longer accepting applications.
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 who will support our enterprise infrastructure. In addition to supporting you will assist in optimizing incident response, observability, and working with technical teams to improve overall workload resiliency.Β
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
Salary: $100-150,000
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 employerβs discretion, this position may require successful completion of background and reference checks.
This job is no longer available
The job posting you are looking for has expired or been removed.
Jobs typically stay active for 60 days or until filled.
Hundreds of jobs are waiting for you!
Subscribe to membership and unlock all jobs
Sports Analytics
We scan all major sports and leagues
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Alerts
You can get daily alerts in your email for a specific search
Access to job postings from top teams and companies
Daily updates and notifications based on your preferences
π― Over 90% of customers chose to renew their subscriptions after the initial sign-up
Monthly
$6.99/month
Billed Monthly
π€ΈββοΈ Flexible for short time job hunting
πΌ Unlimited access to all job posts
π― Advanced filtering tools
π Personalized daily job alerts
π± Mobile-friendly job search
π Exclusive discount codes on courses & tools
πΈ Save more than your subscription cost
βͺοΈ Cancel anytime
Most Popular
Yearly
$39/year
Only $3.25/month billed annually
π Save 50% compared to monthly
πΌ Unlimited access to all job posts
π― Advanced filtering tools
π Personalized daily job alerts
π± Mobile-friendly job search
π° Most popular choice
π Exclusive discount codes on courses & tools
πΈ Save more than your subscription cost
βͺοΈ Cancel anytime
Lifetime
$59
One-time payment
π One-time payment, lifetime access
π° Best value for long-term career growth
πΌ Unlimited access to all job posts
π― Advanced filtering tools
π Personalized daily job alerts
π± Mobile-friendly job search
π Exclusive discount codes on courses & tools
πΈ Save more than your subscription cost