Associate, Software Engineering

About the Role

SRE at Goldman Sachs combines software and systems engineering to build, run, and maintain high-performant, distributed, fault-tolerant systems. As an SRE Engineer, you will fill 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.

Key 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.
• Conducting capacity modeling and performance tuning to ensure systems meet future demand.

Requirements & Tech Stack

• 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.
• Experience with automated testing and SDLC concepts.
• Developing applications in a Linux environment.
• Sound knowledge of algorithms, data structures, and software design.
• Systematic problem-solving approach and a sense of ownership and drive.
• Ability to debug and optimize code and to automate routine tasks.
• Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry).
• Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s).
• Knowledge of networking protocols and load balancing strategies in a distributed systems environment.

Qualifications

• Desired: Bachelor’s degree in Computer Science, or a related technical field that involves programming.
• Desired Experience: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions.
• Desired Experience: Chaos Engineering principles and fault-injection testing to verify system resilience.
• Desired Familiarity: Cloud-native architecture and managed services (AWS, Azure, or GCP).
• Desired Understanding: Error Budgeting and its application in balancing feature velocity with system stability.
• Desired Hands-on Experience: Infrastructure as Code (IaC) frameworks such as Terraform, Ansible, or CloudFormation.

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.
• Possess client-facing skills to be able to deal with and form good relationships with the business and other technology groups through day-to-day support and project work.
• Ability to multi-task and be effective working in a fast-paced environment.
• Interest in financial markets, technology, and the ability to learn.