Senior Lead SRE (DSS)

Job summary

The Senior Lead Site Reliability Engineer supports an infrastructure data platform by configuring, maintaining, monitoring, and optimizing applications and cloud infrastructure for availability, reliability, and scalability. The role develops CI/CD deployment practices, infrastructure as code, and SLO-based observability, and uses authorized AI capabilities to assist with incident analysis and identify reliability improvements. The technical environment includes AWS, Snowflake, container orchestration, and monitoring tools such as Grafana and Prometheus.

Qualifications

• Formal SRE training or certification and advanced applied experience.
• Proficiency in SRE principles and their implementation in applications or platforms.
• Proficiency in at least one of Python, Java with Spring Boot, or .NET.
• Experience using authorized AI capabilities in SRE workflows, with strong output validation and awareness of data sensitivity.
• Ability to validate AI-assisted recommendations, escalate uncertainty, and follow risk controls and organizational standards.
• Knowledge of software applications and technical processes in a discipline such as cloud or AI.
• Hands-on experience supporting cloud and data platforms, including AWS and Snowflake.
• Experience with white-box and black-box monitoring, SLO alerting, and telemetry collection.
• Experience with CI/CD tools such as Jenkins, GitLab, or Terraform.
• Familiarity with containers, orchestration, and troubleshooting networking issues.
• Understanding of release engineering, GitOps, branching strategies, and change management.
• Experience with incident management, on-call operations, capacity planning, and reliability engineering.
• Experience authoring pipeline configuration and infrastructure templates such as YAML, Terraform, or ARM.
• Ability to assess risk, remain calm under pressure, and communicate clearly.
• AWS and Azure experience; OCI exposure is an advantage.

Responsibilities

• Guide design development and build peer consensus while promoting site reliability practices.
• Design, test, and implement deployment and reliability approaches using automated CI/CD pipelines.
• Use authorized AI capabilities to support incident triage, troubleshooting, and post-incident analysis, validating outputs and protecting sensitive data.
• Implement infrastructure, configuration, and network as code.
• Resolve complex problems and address potential customer-impacting issues using service level indicators and objectives.
• Analyze operational signals to identify reliability risks and recurring toil, prioritizing improvements tied to SLO outcomes.
• Work with partners to iteratively improve application and platform availability, reliability, and scalability.
• Identify obstacles and improvements that address business problems.

Skills

Certifications

Languages

Industry

Relocation