Asset & Wealth Management-Cloud SRE Engineer-Associate-Dallas

Cloud SRE Engineer - Associate Who We Look For: Goldman Sachs Engineers are innovators and problem-solvers who thrive in fast-paced global environments. We are seeking a motivated Cloud Site Reliability Engineer (SRE) to support the WM Data Engineering ecosystem. In this role, you will apply software engineering principles to operational challenges, ensuring that our cloud-native services - primarily running on AWS are resilient, scalable, and cost-optimized. As we transition from on-premises legacy systems to AWS, you will be the guardian of system health, moving beyond traditional dashboards to implement predictive remediation and SLOs-as-Code . Key Responsibilities: Reliability & Performance Engineering: SLO Management: Define and enforce Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using OpenSLO or similar declarative frameworks. Manage "Error Budgets" to balance the pace of innovation with system stability. Predictive Observability: Implement AI-driven observability stacks (e.g., Datadog , Amazon CloudWatch Container Insights , or OpenTelemetry ) to detect "p99" latency spikes and subtle configuration drifts before they impact users. Incident Response: Lead high-severity incident restoration and conduct blameless post-mortems to identify root causes and automate future prevention. Cloud Migration & Orchestration: Microservices Migration: Support the migration of on-premises microservices to Amazon ECS (Fargate/EC2) . Design and maintain task definitions, service discovery via AWS Cloud Map , and inter-service communication using Amazon ECS Service Connect . Infrastructure as Code (IaC): Develop and maintain modular, version-controlled infrastructure using Terraform or AWS CDK , ensuring that reliability guardrails are baked into every deployment. Automation of Toil: Identify and eliminate repetitive manual tasks ("toil") by developing custom automation tools in Python or Go . Modernization: Migration Support: Contribute to the migration of on-premises data workloads to AWS. Qualifications: Experience: 4+ years in SRE, DevOps, or Cloud Engineering roles, with a strong focus on production operations for distributed systems. Container Orchestration: Deep proficiency in Amazon ECS (Fargate and EC2 launch types). Experience with Docker containerization and managing service-to-service connectivity. Programming: Strong proficiency in Python or Java for automation and tool development. Expert-level SQL for data-driven reliability analysis. Cloud Platforms: Advanced knowledge of AWS core services (VPC, IAM, S3, Lambda) and networking (Transit Gateway, PrivateLink). Observability Tools: Hands-on experience with modern monitoring and tracing tools such as Prometheus , Grafana , AWS X-Ray , or Splunk . CI/CD for Containers: Proven ability to build automated deployment pipelines for ECS using AWS CodePipeline , GitHub Actions , or Terraform , incorporating blue/green or canary deployment strategies. Soft Skills: Strong problem-solving "builder" mindset and the ability to communicate technical concepts within a team environment. Education Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. #J-18808-Ljbffr The Goldman Sachs Group