Compliance Engineering, Site Reliability Engineer SRE, Associate, Dallas

Job Responsibilities

Proactive management of our production services by measuring and monitoring availability, capacity and overall system health.
Shaping software before go-live through activities such as system design consulting, capacity planning and launch reviews.
Scaling and evolving systems by pushing for changes that improve capacity and reliability.
Practicing sustainable incident management in a blameless postmortem culture.
Identifying and building improvements to system behavior, control and monitoring tools.
Defining and maintaining Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to quantify and manage service reliability.
Engineering solutions to reduce "toil" through advanced automation and self-healing system capabilities.

Technical Skills

• Experience in one or more of the following: Java, Python and Perl.
• Strong communication skills and the ability to clearly express ideas and arguments.
• Solid analytical and problem-solving skills with appreciation of technical risk.
• Systematic problem-solving approach and a sense of ownership and drive.
• Ability to debug and optimize code and to automate routine tasks.

Preferred Qualifications

• Minimum of 3-4 years of experience.
• Bachelor’s degree in Computer Science, or a related technical field that involves programming.
• Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design.
• Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry).
• Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions.
• Familiarity with cloud-native architecture and managed services (AWS, Azure, or GCP).
• Understanding of various SRE terminologies e.g. Error Budgeting and its application in balancing feature velocity with system stability.

About Goldman Sachs

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