Who We Are
At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
Investment Banking
Goldman Sachs Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas.
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments, and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.
We are looking for a technical architect with a strong background in designing & developing enterprise-grade, always-on software systems. This role is pivotal to ensuring reliability and scalability of our most critical infrastructure and services.
What we are looking for
9+ years of experience with at least 2 years of experience working as technical architect. Architectural Patterns: In-depth knowledge of enterprise integration patterns, domain-driven design (DDD), and various architectural styles (e.g., monolithic, microservices, event-driven). System Design: Ability to design highly scalable, available, resilient, and performant systems. This includes capacity planning, load balancing, caching strategies, and disaster recovery. Data Management: Experience with relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, Redis, DynamoDB). Understanding of data modelling, database optimization, and data migration strategies. Messaging & Streaming: Experience with message brokers and streaming platforms like Apache Kafka, RabbitMQ, AWS SQS/SNS etc. API Development: Proficiency in designing and developing RESTful APIs, GraphQL, and understanding API gateway concepts Understanding of Cloud Providers: Proficiency in AWS (EC2, S3, RDS, Lambda, SQS, SNS, VPC, CloudFormation, EKS) is crucial, including their core services and architectural best practices. Cloud Architecture Patterns: Experience with designing and implementing cloud-native architectures such as microservices, serverless, event-driven, and containerized applications. Agentic AI Principles: Understanding the concepts of intelligent agents, their architectures (e.g., perception-action cycles, memory, planning), and how they interact with environments. Knowledge of how LLMs work, prompt engineering, fine-tuning, and integrating them into applications. Concepts related to how AI agents make decisions, plan actions, and achieve goals. Understanding biases, fairness, transparency, and responsible AI development, especially critical for agentic systems. Soft skills :- Technical Leadership: Ability to lead technical teams, mentor junior developers, and drive architectural decisions. Communication: Excellent verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities to troubleshoot complex issues and design innovative solutions. Stakeholder Management: Capability to collaborate effectively with product owners, project managers, and other teams to align technical solutions with business goals.Goldman Sachs Engineering Culture
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 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!
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