What We Do  

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.  

Engineering, which is comprised of our technology division and global strategist's groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities? Start here.  

What we look for  

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.  

Energetic, self-directed and self-motivated, able to build and sustain long-term relationships with clients and colleagues  

Intuitively coalesce towards problems with an open mind, within the context of a team 

Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 

Strong desire to learn and contribute solutions and ideas to a broad team  

Can manage multiple tasks and use sound judgment when prioritizing  

Strong verbal and written communication skills  
 

In this role you will  

Collaborate with Application Development Engineers, Technology Infrastructure teams and vendor teams to ensure that the solutions being implemented are scalable and highly automated, from infrastructure provisioning to code deployment, and support 

Design, implement, and maintain robust monitoring solutions using tools such as Datadog, Prometheus, Grafana, Splunk to ensure the health, performance, and availability of our applications and infrastructure. 

Automate activities and operations to make processes faster and more efficient 

Utilize Splunk to analyze and correlate logs, troubleshoot issues, and identify trends that could impact system reliability. 

Uplift existing services from the firm private cloud to the latest technologies on public cloud 

Collaborate with Senior SREs and Leads to contribute to the development of short and long-term reliability strategies. 

Support and enhance roadmap initiatives in production management by implementing reliability best practices and automation. 

Troubleshoot problems encountered by both technology teams as well as end users of our applications 

Build highly available systems based on a microservices architecture 
 

 Skills and experience we are looking for  

Minimum 3 years of relevant professional experience 

B.S. or higher in Computer Science (or equivalent work experience)  

Advanced experience in Systems Engineering 

Experience working with monitoring tools such as Datadog, Prometheus, and Grafana, including dashboard creation, metric collection, and alert configuration. 

Cloud infrastructure experience, preferably AWS 

Understanding of principles of Continuous Delivery, Devops and SRE  

Solid programming/scripting skills in languages such as Python, Bash, or Go, with the ability to automate tasks and improve operational efficiency. 

Experience with DevOps tools such as Github, Terraform, Chef, Ansible, PowerShell 

Experience with deploying infrastructure-as-code to production systems and accompanying automation techniques 

Preferred Qualifications  

Experience as a Site Reliability Engineer or similar role, with a focus on monitoring, alerting, and incident management 

Proficiency in log analysis using Splunk/ELK or similar log aggregation tools to troubleshoot and diagnose system issues 

Experience with Dynatrace and/or New Relic  

Knowledge of compute, storage, firewalls and networking fundamentals  

Experience managing Kafka as messaging middleware  

Familiarity with high-scale NoSQL solutions like MongoDB 

Expertise in delivering microservices architectures  

Fintech experience will be a great asset