[Remote] DevOps Engineer at Swish Analytics

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Betting, Fantasy SportsIndustries

Skills

Key technologies and capabilities for this role

KubernetesAWSEKSEC2RDSTerraformTerragruntCI/CDGithub ActionsJenkinsArgoCDDockerHelmPythonGoDevOpsDevSecOpsSystem MonitoringIncident ResponseSLO/SLA ManagementContainerizationDistributed Systems

Questions & Answers

Common questions about this position

What is the salary range for this DevOps Engineer position?

The salary range is $120,000 - $160,000 for one level and $160,000 - $190,000 for another level.

Is this role remote or does it require a specific location?

The role requires candidates to be located in PST.

What are the key skills and experience required for this role?

Candidates need 5+ years in DevOps/DevSecOps, 5+ years with AWS services like EKS/EC2/RDS using Terraform, 5+ years building CI/CD pipelines with Github Actions/Jenkins/ArgoCD, 5+ years managing Kubernetes/Docker/Helm, and 2+ years with Python or Go.

What is the company culture like at Swish Analytics?

Swish Analytics seeks team-oriented individuals passionate about predictive real-time data who thrive in a fast-paced, creative, continually-evolving environment without sacrificing technical excellence.

What makes a strong candidate for this DevOps Engineer role?

Strong candidates will have 5+ years of hands-on experience with AWS, Kubernetes, CI/CD pipelines, and distributed systems, plus prior SRE/DevOps work in 24/7 customer-facing environments and familiarity with ML pipelines.

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$6.5MTotal Funding

EARLY_VCCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.

Consumer privacy concerns may impact Swish Analytics' data collection practices.

Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.

The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.

Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.

The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.

Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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