Core Engineering, SDLC Software Engineer, Associate/ Vice President, Singapore
Singapore, Singapore, Singapore
Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.OVERVIEW:
At Goldman Sachs, our Engineers don’t just build 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 groups, is at the center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.
CORE ENGINEERING – DEVELOPER EXPERIENCE & RUNTIME
Developer Experience & Runtime delivers engineer-first, scalable platforms for Engineers across the firm including job-scheduling, file transfer, firmwide software distribution, as well as software development, tooling, binaries, images, and artifacts, and the full SDLC.
SDLC at Goldman Sachs:
The SDLC organization is the base and platform on which all technology solutions across the firm are managed. You will be working in the heart of developer experience, ensuring code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiles fast, is comprehensively tested, compliant, and distributed widely. We empower thousands of developers and all teams across the firm to innovate better, faster, more securely, and in a fully compliant manner, all while striving to create an easy to use, stable, performant, and frictionless ecosystem.
RESPONSIBILITIES:
- Own, manage and automate infrastructure and deployments across a variety of environments, including development, testing and production.
- Own, implement and maintain continuous integration and delivery pipelines.
- Design, configure and manage observability for our systems to ensure application availability and performance.
- Own relationships with senior stakeholders and our client development teams to ensure that their needs are met as well as those of the firm.
- Implement and maintain security controls and compliance requirements.
- Ensure that production issues are addressed in a timely manner, including post mortem and longer term steps to avoid repetition.
- Stay current with emerging technologies and tools in the DevOps space.
- Advocate for improvements to product quality, security, reliability, and performance.
SKILLS AND EXPERIENCE WE ARE LOOKING FOR:
- Min. 3 years (Associate) / 8 years (VP) of experience in a software development, DevOps or related role.
- Professional experience with CI /CD tools such as GitLab, Jenkins, CircleCI or Bitbucket.
- Professional experience with cloud deployment patterns. Specifically AWS cloud constructs, Terraform, Docker, Kubernetes, and Kafka.
- General knowledge of multiple languages and expert in-depth knowledge of at least one of: Golang, Java, Python, C, C++.
- Strong software engineering and system design fundamentals.
- Experience with all stages of SDLC.
- Experience with SRE principles, as well as diagnosis, prevention, performance management, and availability of large distributed systems.
- Strong written and verbal communication
- Excellent problem-solving and analytical skills.
- Ability to work collaboratively in a team environment.
PREFERRED QUALIFICATIONS:
- BSc, MSc, PhD in relevant field (Computer Science, Information Systems, or similar).
- Experience with Prometheus and Grafana, as well as knowledgeable about networking protocols (TCP, UDP, ICMP, ARP, DNS, TLS, HTTP, SSH, etc.)
- Experience with the use of ML and/or agentic AI, especially in relation to facilitating the SDLC.
- Experience in stakeholder management.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Bitbucket Computer Science DevOps Distributed Systems Docker Engineering Finance GitLab Golang Grafana Java Jenkins Kafka Kubernetes Machine Learning PhD Pipelines Python SDLC Security Terraform Testing
Perks/benefits: Career development
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