Compliance Engineering, DevOps

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 $175k

$120k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $140,200–$209,071.

Based on 240 similar postings.

Employer

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 · Compliance Engineering, DevOps

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As Vice President of Compliance Engineering DevOps in Dallas, you will lead the mission-critical role of ensuring high performance and reliability for our distributed systems. Your day-to-day responsibilities include proactive management of production services through monitoring and capacity planning, collaborating with engineering teams to improve system health and reduce downtime, and implementing automation to minimize operational tasks. You will work on defining Service Level Indicators (SLIs) and Objectives (SLOs), conducting performance tuning, and fostering a blameless postmortem culture for incident management. The role requires expertise in Java, Python, Perl, Docker, Kubernetes, Observability stacks like Prometheus and Grafana, and cloud-native architecture. Ideal candidates will have experience with SRE practices, big data technologies, and financial industry knowledge, as well as strong communication and problem-solving skills to thrive in a fast-paced environment.

Skills

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

What you'll do

Manage production services by monitoring availability, capacity, and system health.
Shape software pre-launch through design consulting, capacity planning, and launch reviews.
Improve system scalability and reliability by pushing for capacity enhancements.
Practice sustainable incident management with a blameless postmortem culture.
Define and maintain Service Level Indicators (SLIs) and Objectives (SLOs).
Engineer automated solutions to reduce operational workload and enhance system self-healing.

What we're looking for

Proven experience in managing production systems through monitoring and capacity planning.
Strong background in automation, tools, and engineering principles to optimize system performance.
Deep understanding of containerization technologies like Docker and Kubernetes (K8s).
Proficiency with observability stacks including Prometheus, Grafana, ELK, or OpenTelemetry.
Experience in software development using Java, Python, Perl, or similar languages.
Familiarity with cloud-native architecture and managed services such as AWS, Azure, or GCP.
Solid analytical skills and ability to debug and optimize code effectively.

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