Job description

Who We Are 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 . 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. Want to push the limit of digital possibilities? Start here. Within our Global Banking & Markets business, the Cloud Platform team is responsible for enabling the use of public cloud services as well as establishing infrastructure management best practices. You will be working as part of a global, multidisciplinary team responsible for researching, architecting, and building cutting-edge tools and systems. We are at an early stage of modernizing our application stacks around cloud native principles and migrating business workloads to the cloud. You will play a pivotal role in influencing technology strategies that will give the firm a competitive edge. How You Will Fulfill Your Potential • Advise and lead architecture strategy of multiple products, applications, and technologies across a portfolio. • Translate highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about target state architecture. • Drive adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies. • Establish and lead an architecture governance body. • Create durable, reusable software frameworks that improve velocity and quality of output across teams and functions. • Partner across domains to reduce tooling duplication, clarify ownership, and maintain authoritative technology status and lifecycle governance. • Improve decision traceability, cost-performance outcomes, and review-board effectiveness through clear standards, metrics, and architectural guardrails. • Evaluate emerging capabilities for enterprise fit and adoption readiness. • Establish portfolio-level guardrails for AI-assisted and agentic workflows used in architecture and engineering governance, including traceability/auditability and control expectations aligned to resiliency and security standards. Basic Qualifications • 10+ years of relevant technical experience, including at least 5 years hands-on experience with AWS. • Experience delivering system design, application development, testing, and operational stability. • Expertise in one or more architecture disciplines. • Demonstrated experience influencing across functions and teams to deliver modern architecture. • Experience applying expertise and new methods to determine solutions for complex architecture problems across various technical disciplines. • Extensive practical cloud native experience. • Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture. • Deep expertise across Infrastructure Architecture areas, including IT Service Management, Monitoring and Observability, Cloud Compute and Storage, Application Integration, and IT Asset Management, Network and Systems Administration. • Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment across architecture workflows, including validation practices and awareness of data sensitivity. • Excellent communication; willingness to learn; proactive mindset with focus on continuous improvement. Preferred Qualifications • Prior experience in finance industry. • Strong understanding of hybrid and multi-cloud operational models, including resilience, identity, secrets, networking, and secure operations. • Expertise in operational automation, event intelligence, and self-healing workflows integrated with ticketing and incident processes. • Experience with enterprise CMDB and asset intelligence programs that improve control compliance and cost transparency. • Familiarity with financial-services regulatory and control frameworks for operational resilience and auditability. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: goldmansachs.com © The Goldman Sachs Group, Inc., 2026. All rights reserved.

Requirements

Must-haves

10+ years of relevant technical experience, including at least 5 years hands-on experience with AWS.
Experience delivering system design, application development, testing, and operational stability.
Expertise in one or more architecture disciplines.
Demonstrated experience influencing across functions and teams to deliver modern architecture.
Experience applying expertise and new methods to determine solutions for complex architecture problems across various technical disciplines.
Extensive practical cloud native experience.
Ability to evaluate current and emerging technologies to recommend the best technology solutions and approaches to achieve the future state architecture.
Demonstrated experience leading safe adoption of enterprise-authorized AI capabilities within the work environment across architecture workflows, including validation practices and awareness of data sensitivity.
Excellent communication; willingness to learn; proactive mindset with focus on continuous improvement.

Nice-to-haves

Prior experience in finance industry.
Strong understanding of hybrid and multi-cloud operational models, including resilience, identity, secrets, networking, and secure operations.
Expertise in operational automation, event intelligence, and self-healing workflows integrated with ticketing and incident processes.
Experience with enterprise CMDB and asset intelligence programs that improve control compliance and cost transparency.
Familiarity with financial-services regulatory and control frameworks for operational resilience and auditability.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiaws

Platform: goldman-sachs
Effort: medium

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