Vice President, Compliance Engineering, Site Reliability Engineering

Goldman Sachs

Quick summary

Work type
On-site
Location
Dallas, TX
Posted
1 day ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $186k
$133k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $155,000–$217,162.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · Vice President, Compliance Engineering, Site Reliability Engineering

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As Vice President in the Compliance Engineering team at Goldman Sachs in Dallas, you will lead mission-critical initiatives to ensure regulatory compliance across the firm’s systems. Your daily responsibilities include proactive management of production services through monitoring and capacity planning, as well as collaborating with engineering teams to improve system reliability and reduce downtime. You will define service level objectives, automate routine tasks, and conduct performance tuning to meet future demand. The role requires expertise in Java, Python, or Perl, proficiency with observability stacks like Prometheus and Grafana, and deep knowledge of Docker and Kubernetes. Ideal candidates have experience in SRE, big data technologies, and cloud-native architecture, along with a passion for automation and operational excellence in the financial industry.

Skills

Python Java Perl Docker Kubernetes Prometheus Grafana OpenTelemetry Terraform AWS Azure GCP CI/CD Chaos Engineering Error Budgeting Infrastructure as Code Linux Relational Databases Hadoop Big Data Technologies

What you'll do

  • Manage production services by measuring and monitoring system health and performance.
  • Shape software pre-launch through design consulting, capacity planning, and launch reviews.
  • Scale systems by pushing for changes that enhance capacity and reliability continuously.
  • Practice sustainable incident management in a blameless postmortem culture environment.
  • Define and maintain Service Level Indicators (SLIs) and Objectives (SLOs) to quantify service reliability.
  • Engineer solutions to reduce operational overhead through advanced automation and self-healing systems.
  • Conduct capacity modeling and performance tuning to ensure systems meet future demand requirements.

What we're looking for

  • Proven experience in software engineering with expertise in Java, Python, or Perl.
  • Strong background in system design, capacity planning, and automated testing.
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes).
  • Proficiency with observability tools like Prometheus, Grafana, ELK, or OpenTelemetry.
  • Experience in cloud-native architecture and managed services (AWS, Azure, GCP).
  • Solid analytical skills and ability to automate routine tasks through scripting.
  • Familiarity with Chaos Engineering principles for system resilience verification.

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