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Asset & Wealth Management - Margin… at Goldman Sachs · Hyderabad

ExperiencedOn-siteFull-timeHyderabad, Telangana, IN

Skills

javaspring bootspring frameworkawsec2s3iamvpcrdsauroralambdaecsekscloudwatchmicroservicesdistributed systemsci/cdversion controlsre principlesproject managementcommunicationdecision makingmentoringcollaborationspring cloudsqlnosqlkubernetesdockerpythonshellbashterraforminfrastructure-as-code

Job Description

Asset & Wealth Management - Margin Engineering - Vice President - Hyderabad

What We Do

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.

Your Impact

A successful candidate will be able to balance project management trade-offs, make decisions, and communicate effectively with senior stakeholders across business partners and technology peers, with an eye towards influencing and driving positive business outcomes.
Collaborate closely with product, data, and platform teams, author technical designs, review merge requests, and mentor engineers
Design, develop and own cloud-native RESTful microservices and data pipelines using Java, Spring Boot etc.
Apply AWS Well-Architected best practices across reliability, security, performance, cost optimization, and operational excellence
Work with a global team of highly motivated software engineers building integrated architectures for secure, scalable services serving a diverse set of use cases in the wealth management space.
Partner with colleagues from across technology and risk to ensure an outstanding Margin platform for wealth management is delivered.
Help to provide frictionless integration with the firm’s runtime, deployment and SDLC technologies.
Quality coding & integration, testing, release, and demise of software products supporting Margin functions.
Engage in quality assurance and production troubleshooting.

Basic Qualifications

8+ years of professional software engineering experience building production systems.
5+ years of hands-on AWS experience with core services: EC2, S3, IAM, VPC, RDS/Aurora, Lambda, ECS/EKS, CloudWatch.
Strong Java with Spring Framework (Spring Boot, Spring Data; Spring Cloud preferred.
Strong foundation of cloud computing and distributed systems fundamentals: scalability, availability, consistency tradeoffs, event-driven architectures, idempotency, and backpressure.
A strong grounding in software engineering concepts and implementation of architecture design patterns.
A good understanding of multiple aspects of software development in microservices architecture and Java based back-end development experience.
Sound SDLC and practices and tooling experience - version control, CI/CD and configuration management tools.
Ability to understand and effectively debug both new and existing software.
Experience with metrics and monitoring tooling, including the ability to use metrics to rationally derive system health and availability information.
Experience in supporting software based on sound SRE principles.

Preferred Qualifications

AWS Certifications (Solution Architect, Developer Associate/Professional)
Experience using and/or supporting Java based frameworks & SQL / NOSQL data stores.
Experience with deploying software to containerized environments - Kubernetes/Docker.
Experience with Python, Shell, or Bash scripting is considered an asset.
Experience with Terraform or similar infrastructure-as-code platforms is a plus.

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!

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.