Designs and maintains highly available, scalable, secure systems for a global gaming platform. Responsibilities include defining reliability objectives, leading incident response and postmortems, developing observability and alerting strategies, optimizing performance, automating operational tasks, supporting architecture reviews, and mentoring engineers. The role partners across engineering teams to implement SRE best practices and improve system resilience, scalability, and operational excellence.
At Bellota Labs, we are a fast-paced, hypergrowth startup poised to revolutionize the gaming world with ClubWPT Gold—a groundbreaking product from the World Poker Tour. Driven by innovation, game integrity, and exceptional customer experiences, we are on a mission to set new standards in online gaming.
We are seeking an experienced Senior Site Reliability Engineer (SRE) to design, build, and maintain highly reliable, scalable, and secure systems. You will play a critical role in ensuring system availability, performance, and operational excellence across our infrastructure and applications.
As a senior member of the team, you will also mentor engineers, influence architecture decisions, and drive best practices in reliability engineering, automation, and incident management.
Key Responsibilities:
- Design and implement highly available, scalable, and fault-tolerant systems.
- Define and maintain SLIs, SLOs, and SLAs.
- Lead incident response, root cause analysis (RCA), and postmortems.
- Improve system resiliency and reduce operational toil through automation.
- Design monitoring, alerting, and logging strategies.
- Implement tools such as Prometheus, Grafana, Datadog, ELK, or similar.
- Establish proactive alerting and capacity planning processes.
- Conduct performance testing and optimization.
- Identify bottlenecks and implement improvements.
- Support system scaling initiatives and architecture reviews.
- Partner with engineering teams to embed reliability into development processes.
- Lead reliability initiatives and cross-functional projects.
- Mentor junior engineers and promote SRE best practices.
Reliability & Availability
Observability & Monitoring
Performance & Scalability
Collaboration & Leadership
Experience:
- 5+ years of experience in SRE, DevOps, or Infrastructure Engineering.
- Strong experience with cloud platforms (AWS).
- Deep understanding of Linux systems and networking fundamentals.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Proficiency in scripting/programming (Python, Go, Bash, or similar).
- Experience with monitoring and observability platforms (Datadog/Prometheus).
Preferred Technologies (Nice to Have):
- Experience operating high-scale production systems.
- Experience with microservices architecture.
- Background in database reliability (Postgres, MySQL, Redis, etc.).
- Experience implementing SRE practices (error budgets, blameless postmortems).
- Experience with AI-driven SRE
Lead High-Impact Projects – Play a key role in delivering innovative gaming experiences to a global audience
Collaborate Across Borders – Work with talented teams across Asia and the US
Fast-Paced Growth – Be part of a hypergrowth startup with ambitious goals
Competitive Benefits – Enjoy a top-tier compensation package in a dynamic company
Similar Jobs
Financial Services
Leads site reliability engineering for complex application and platform environments. Defines reliability requirements, observability strategies, service-level objectives, roadmaps, and production-readiness practices. Mentors engineers, debugs distributed systems, advances AI-assisted reliability workflows, and champions resilient, secure, auditable operations. Builds and oversees cloud-native infrastructure, APIs, event-driven systems, logging and monitoring pipelines, automation, and infrastructure-as-code solutions.
Top Skills:
Amazon SqsAutogenAWSAzureCassandraChaos MonkeyChromaCi/CdClaudeCrewaiDatadogDockerDynamoDBDynatraceFlinkFluentdGCPGithub CopilotGitopsGoGrafanaGremlinHadoopInfluxdbJavaKafkaKubernetesLangchainLanggraphLitmuschaosLogstashMcp ServersMongoDBNeo4JPineconePrometheusPythonPyTorchRabbitMQRestful ApisScikit-LearnSparkSplunkTensorFlowTerraformTigergraphTimescaledbVectorWeaviate
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.
Top Skills:
Artificial IntelligenceAWSCloud SecurityData PipelinesDatabricksEnterprise SecurityGCPJavaMachine LearningMachine Learning LibrariesAzurePythonSnowflakeTensorFlow
Cloud • Information Technology • Security • Software • Cybersecurity
Own reliability and performance for Zscaler’s high-scale bare-metal and cloud infrastructure. Develop production automation with Python, Go, Bash, and Ansible; manage Linux/BSD fleets and Kubernetes; lead incident response and low-level systems troubleshooting; build observability with Prometheus and OpenTelemetry; enforce SLOs, conduct performance tuning, and improve deployment safety across global infrastructure.
Top Skills:
Ai/MlAiopsAnsibleBashBsdCi/CdDnsFreebsdGdbGoIostatKubernetesLinuxLsofOpentelemetryPrometheusPythonStraceTcp/IpTcpdumpTemporalTlsVmstat
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
