• Provision, configure, and maintain cloud infrastructure — virtual servers, databases, storage, and other resources — to support client environments. • Act as the first responder for issues reported through Salesforce and Azure DevOps. Diagnose and resolve issues within client cloud environments, escalating as needed. • Track and manage cloud assets and resources across client environments, keeping inventory, configuration, and cost accurate and up to date. • Build, test, and execute automations, pipelines, and scripts to support cloud operations. • Maintain monitoring and alerting tools (SIEM, Datadog, etc.) to ensure the health and high availability of client systems. Participate in the weekday and weekend on-call rotation. • Maintain security tools (including but not limited to WAF, antivirus, SIEM, and CSPM) and access controls, and support ongoing compliance efforts. • Work with cross-functional and engineering teams to resolve issues and support the delivery of end-to-end products and features. • Stay current with cloud technologies and operational best practices, with emphasis on our current technology stack and cloud cost management (FinOps).

• Own Database Reliability: Drive high availability and disaster recovery strategies • Architect for Scale: Define and execute the scalability roadmap • Optimize Performance: Perform deep-dive query optimization • Design Infrastructure: Build and manage scalable inference and connection pooling strategies • Establish Observability: Design the monitoring architecture and define SLIs/SLOs • Champion Security: Implement banking-grade security practices • Partner Across Engineering: Work with product teams for database schema changes • Lead by Example: Set the technical bar for the DBA function through mentoring

• Own Database Reliability: Drive high availability and disaster recovery strategies, ensuring RPO/RTO targets are met for our core banking systems. • Architect for Scale: Define and execute the scalability roadmap, including partitioning, sharding strategies, and capacity forecasting. • Optimize Performance: Perform deep-dive query optimization, execution plan analysis, and proactive bottleneck remediation. • Design Infrastructure: Build and manage scalable inference and connection pooling strategies (PgBouncer) and robust backup/restore automations. • Establish Observability: Design the monitoring architecture (Prometheus, Grafana, VictoriaMetrics) and define SLIs/SLOs for database health. • Champion Security: Implement banking-grade security practices, including credential management and compliance-aligned data handling. • Partner Across Engineering: Work with product teams to ensure database schema changes and architectural decisions support a high-load environment. • Lead by Example: Set the technical bar for the DBA function through mentoring, standards definition, and hands-on implementation.

Role Description We are seeking an experienced Site Reliability Engineer to ensure the availability, performance, and operational excellence of large-scale distributed systems in production. As an SRE you will live at the boundary between development and operations, applying strong software engineering principles to infrastructure and operations problems, and continually pushing the platform toward higher reliability with lower operational toil. The ideal candidate will combine deep systems knowledge with strong programming skills, a measurement-driven mindset, and the discipline to design, automate, and operate complex services so that reliability becomes a first-class engineering deliverable rather than a reactive concern. Key Responsibilities - Define, instrument, and continually refine service-level objectives (SLOs), service-level indicators (SLIs), and error budgets for critical services. - Lead incident response and resolution for production issues, acting as a calm and effective incident commander when needed. - Design and implement comprehensive monitoring, logging, and tracing strategies using Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, or similar tooling. - Build and maintain robust on-call processes, runbooks, and escalation paths. - Automate operational toil aggressively by writing production-grade tooling in Python, Go, Bash, or similar languages. - Architect and operate large-scale Kubernetes clusters and container-based workloads. - Design CI/CD pipelines that promote safe, frequent, and observable releases. - Lead capacity planning and performance engineering activities. - Partner closely with application development teams to embed reliability practices early in design. - Strengthen the platform’s resiliency through chaos engineering, fault injection, and well-tested failover paths. - Drive continuous improvement of security posture in collaboration with security teams. - Contribute to the technical roadmap for reliability tooling and developer-experience improvements. - Mentor engineers across the organization on SRE practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SRE, DevOps, or production engineering experience supporting large-scale distributed systems. - Strong programming skills in at least one of Python, Go, or Java. - Deep, hands-on experience operating Linux at scale. - Production experience operating Kubernetes and container-based workloads. - Strong working knowledge of observability tooling such as Prometheus, Grafana, OpenTelemetry, ELK/EFK, or commercial equivalents. - Hands-on experience designing and operating CI/CD pipelines for both infrastructure and applications. - Solid understanding of distributed system design. - Demonstrated experience leading incident response and conducting effective post-incident reviews. - Excellent communication and documentation skills. Preferred Qualifications - Experience defining and operationalizing SLOs and error budgets in real production environments. - Exposure to chaos engineering practices and tools such as Chaos Monkey, Gremlin, or Litmus. - Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). - Background in capacity planning, performance engineering, or large-scale load testing. - Familiarity with service mesh technologies such as Istio, Linkerd, or Consul. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .