Lead SRE

Job responsibilities

• Drive continuous improvement of reliability, monitoring, and alerting for mission-critical microservices, while reducing toil through automation and creating reliable infrastructure and tooling to expedite feature development.
• Develop and implement metrics for microservices, define user journeys, SLOs, and error budgets, and configure dashboards and alerts, facilitating blameless post-mortems to ensure permanent incident closure.
• Engage with development teams throughout the software lifecycle to enhance reliability and scale, design self-healing and resiliency patterns, and implement infrastructure, configuration, and network as code.
• Collaborate with software engineers and teams to design and implement deployment approaches using automated CI/CD pipelines, supporting the adoption of site reliability engineering best practices.
• Demonstrate and champion site reliability culture and practices, leading initiatives to improve application and platform reliability and stability using data-driven analytics.
• Collaborate with team members to identify service level indicators and establish reasonable service level objectives and error budgets with stakeholders, proactively resolving issues before customer impact.
• Act as the main point of contact during major incidents, demonstrating technical expertise to quickly identify and solve issues, while documenting and sharing knowledge within the organization.

Required qualifications, capabilities, and skills

• Formal training or certification on  site reliability  concepts and 5+ years applied experience in public cloud platforms such as AWS, Azure, or GCP.
• Proficiency in at least one programming language, such as Python, Go, or Java/Spring Boot, with expertise in designing, coding, testing, and delivering software.
• Experience with Kubernetes and cloud computing, preferably AWS, and hands-on experience with relational databases like Oracle or MySQL.
• Proficiency in one or more technology domains, with the ability to solve complex and mission-critical problems within a business or across the firm.
• Excellent debugging and troubleshooting skills, with experience in common SRE toolchains like Grafana, Prometheus, ELK Stack, Kibana, and Jaeger.
• Experience with continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform, and observability tools like Dynatrace, Datadog, New Relic, CloudWatch, or Splunk.
• Familiarity with ETL tools like Databricks and experience with container and container orchestration technologies such as ECS, Kubernetes, and Docker.
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, and toil reduction, with the ability to implement these practices within an application or platform.
• Ability to identify and solve problems related to complex data structures and algorithms, and experience with troubleshooting common networking technologies and issues.
• Drive to self-educate and evaluate new technology, with the ability to teach new programming languages to team members.
• Ability to contribute to large and collaborative teams, proactively recognize roadblocks, and demonstrate interest in learning technology that facilitates innovation, while expanding and collaborating across different levels and stakeholder groups.