Compliance Engineering, Site Reliability Engineer SRE, Associate, Dallas

Compliance Engineering

We are Compliance Engineering, a global team of more than 500 engineers and scientists who work on the most complex, mission-critical problems. We build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm, have access to the latest technology and to massive amounts of structured and unstructured data, leverage modern frameworks to build responsive and intuitive front end and Big Data applications. The firm is making a significant investment to uplift and rebuild the Compliance application portfolio.

SRE at Goldman Sachs combines software and systems engineering to build run, and maintain high performant, distributed, fault tolerant systems. As a SRE Engineer you will be filling a mission-critical role ensuring that our systems are healthy, monitored, automated, and designed to scale. You will collaborate with engineering teams to continually improve our production services, facilitating fast delivery of new services, and reducing downtime. SRE utilizes automation, tools and solid engineering principles to optimize existing systems, build infrastructure and eliminate operational work. We are looking for passionate, curious, driven engineers who thrive on solving operational problems and improving efficiency and would like to apply their skills to Compliance Engineering SRE.

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.

WHAT WE ARE LOOKING FOR:

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.

Interpersonal Skills:

• Passionate about solving operational problems and constant improvement via automation.
• Highly motivated, pro-active and capable of working under pressure without compromising development processes.
• Strong, committed and reliable team player and strong communicator, able to take direction but also willing to contribute to discussions on design and strategy.
• Ability to multi-task and be effective working in a fast-paced environment.
• Interest in financial markets, technology and the ability to learn.