37 Software Analyst jobs in Singapore

We are hiring for our software project for providing application support role in banking environment

Responsibilites

• Provide onsite 2nd level application support from 11pm to 7am
• Monitor batch programs execution to ensure successful completion
• Investigate, troubleshoot and resolve batch execution errors
• Work with 3rd level application support on improvement initiatives to improve batch execution stability

Requirements

• At least 3 years of working experience in Unix environment
• 2-3 years of PL SQL development experience

Job Descriptions and Responsibilities:

• Prepare test plan and generate test cases based on the test requirements and specifications.
• Design and develop automation scripts when needed.
• Conduct testing activities such as System, Integration, and Regression test.
• Review test results, prepare test report.
• Perform troubleshooting and identify root causes for the issues and report the defects.
• Manage, track and ensure proper closure of defects during testing.
• Ensure accuracy and quality while meeting goals and deadlines.

Requirements:

• Minimum 3 years of experience with Software Testing (White box & Black box testing).
• Must have honor Degree in IT/ Computer Science/ or equivalent.
• Automated testing tools experience required.
• Knowledge of web and mobile application testing, with good time management and keen eye for details to ensure quality and timely output.
• Keen interest in documentation and capable of generating standard testing deliverables especially for defect reporting.
• Good interpersonal and communication skills and ability to articulate defects and test scenarios.
• Strong organizational, team player, and prioritization skills.
• Ability to work on multiple simultaneous projects / initiatives.

Salary Range: S$2,500 – S$3,500 (Salary range subjected to candidate qualification & job experiences)

Please e-mail your resume in PDF format.

Please state your current salary and expected salary to

1. Strong Technical Experience: Software Application Solution/Technical Design (functional analysis, impact assessment, Software Architecture Design) For 3-Tier Architecture/On-Premise & Software Architecture Technical Design (Current Project Is More Than 3-Tier Architecture)

2. Good Exposure To Database Development (Hadoop, Hive & Python Scripting)

3. Functional Aspect In AML/KYC Compliance Technology (Good To Have, But Mandatory To Have Relevant Technical Skill Set)

4. Functional Aspect: Given a business requirement to bring in data, candidate must under business users requirements to source for the data and design data mapping for the AML/KYC Compliance models.

5. Strong Technical Experience: Software Application Solution/Technical Design (functional analysis, impact assessment, Software Architecture Design) For 3-Tier Architecture/On-Premise & Software Architecture Technical Design (Current Project Is More Than 3-Tier Architecture)

6. Domain: Machine Learning & Dynamic Customer Risk Score (KYC Compliance) - EDA process, Stratified sampling, Standard machine learning process, Feature engineering

7. This role is not data engineering and not suitable for Data engineers who have never worked on a user facing application.

8. This role is a not a System integrators/System Engineer/Application Infra Engineer

9. This role is not a Pure project managers/scrum masters. The person has to be hands on technically

To support AML (Anti-Money Laundering) Projects/CRs for Singapore and Regional entities

Participate in end-to-end projects for system implementation of MLS system

Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security and control standards

Liaise with application teams across group and countries build the enhancements according to the technical solution plan

Analyse user requirements and convert requirements to design document and other system documentation to capture key design decisions

Plan technical deliverables, perform design and development works to meet project’s requirements within schedule

Perform data mapping and process mapping with interfacing applications

Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation as requested

Test, maintain and recommend software improvements to ensure strong functionality and optimization

Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result

Liaise with other application teams and business users to prepare test cases and test data prior to testing in UAT and Mock Run environment

Manage project change request approval windows and deployment schedule

Facilitate and provide technical and testing support before and after production deployment

Liaise with other units across IT and Business in the organization

Manage external vendors for project delivery within schedule

More than 10 years assuming techno functional role in compliance technology(preferred) or risk/finance technology

At least 8 years of experience in application and process design

Ability to multitask effectively and handle large amounts of data

Moderate SQL skills are required

Highly driven, pro-active and a strong team player

Excellent interpersonal skills and written and verbal communication skills in English

Experience in Hadoop ecosystem and technologies

Experience in NoSQL database or Big Data

Experience in Git, Jenkins, JIRA

Experience in SharePoint and Confluence

Experience / knowledge in Unix Shell Scripting, Oracle, Java and Python, Spark

Experience in Banking Compliance

Experience in AI Machine Learning

Experience in Application Development, System Implementation and Integration

Join to apply for the Core Engineering, Data Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

Join to apply for the Core Engineering, Data Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

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Job Description

Core Engineering, Data Software Engineer, Analyst/ Associate, Singapore

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

Job Description

Core Engineering, Data Software Engineer, Analyst/ Associate, Singapore

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

What We Need

We are seeking a highly skilled Data Software Engineer to design, implement, and maintain robust data systems and pipelines that empower our organization to leverage data effectively. The ideal candidate will come from a software engineering background, with commercial development experience in one or more object-oriented languages (Python, Go, Java, C#). Knowledge of data modeling, pipeline construction, data normalization and sanitization, and data governance would be highly advantageous. They will collaborate with cross-functional teams to ensure the availability, quality, and security of data to support business objectives.

Key Responsibilities

• Data Pipeline Development
• Design, build, and maintain scalable and efficient data pipelines for processing and transforming large datasets.
• Ensure pipelines are optimized for reliability and performance.
• Data Modeling and Architecture
• Develop and maintain logical and physical data models tailored to business needs.
• Optimize data storage solutions for scalability and performance.
• Data Quality and Sanitization
• Implement processes for data normalization, deduplication, and cleaning to ensure high-quality datasets.
• Identify and resolve data inconsistencies, errors, and anomalies.
• Data Governance and Security
• Establish and enforce data governance standards, including policies for data access, compliance, and privacy.
• Implement security measures to protect sensitive data and ensure compliance with regulatory requirements.
• Monitoring and Optimization
• Develop monitoring solutions to ensure the health and reliability of data pipelines and systems.
• Continuously optimize performance, storage, and costs of data infrastructure.
  
  

• Education:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience:
• Min. 1 year (for Analyst)/ 3 years (for Associate) of experience in software engineering, data engineering or a related role.
• Proven experience with data modeling, ETL/ELT pipelines, and data architecture design.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and relational databases (e.g., PostgreSQL, Sybase, SQL Server).
• Desirable Technical Skills:
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica) and streaming technologies (e.g., Kafka, Flink).
• Experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Effective communication and collaboration skills to work with diverse teams.
• Attention to detail and a proactive approach to ensuring data integrity.
  

• Experience in conforming to data governance frameworks.
• Knowledge of data lake architectures and unstructured data processing.
• Familiarity with machine learning workflows and AI-driven data applications.
• Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).
  
  

• Seniority level Associate

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Goldman Sachs by 2x

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Core Engineering, Data Software Engineer, Analyst/ Associate, Singapore

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

What We Need

We are seeking a highly skilled Data Software Engineer to design, implement, and maintain robust data systems and pipelines that empower our organization to leverage data effectively. The ideal candidate will come from a software engineering background, with commercial development experience in one or more object-oriented languages (Python, Go, Java, C#). Knowledge of data modeling, pipeline construction, data normalization and sanitization, and data governance would be highly advantageous. They will collaborate with cross-functional teams to ensure the availability, quality, and security of data to support business objectives.

Key Responsibilities

• Design, build, and maintain scalable and efficient data pipelines for processing and transforming large datasets.
• Ensure pipelines are optimized for reliability and performance.
• Data Modeling and Architecture
  • Develop and maintain logical and physical data models tailored to business needs.
  • Optimize data storage solutions for scalability and performance.
• Data Quality and Sanitization
  • Implement processes for data normalization, deduplication, and cleaning to ensure high-quality datasets.
  • Identify and resolve data inconsistencies, errors, and anomalies.
• Data Governance and Security
  • Establish and enforce data governance standards, including policies for data access, compliance, and privacy.
  • Implement security measures to protect sensitive data and ensure compliance with regulatory requirements.
• Monitoring and Optimization
  • Develop monitoring solutions to ensure the health and reliability of data pipelines and systems.
  • Continuously optimize performance, storage, and costs of data infrastructure.

Qualifications

• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience:
  • Min. 1 year (for Analyst)/ 3 years (for Associate) of experience in software engineering, data engineering or a related role.
  • Proven experience with data modeling, ETL/ELT pipelines, and data architecture design.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL and relational databases (e.g., PostgreSQL, Sybase, SQL Server).
• Desirable Technical Skills:
  • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
  • Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica) and streaming technologies (e.g., Kafka, Flink).
  • Experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Effective communication and collaboration skills to work with diverse teams.
  • Attention to detail and a proactive approach to ensuring data integrity.

Preferred Qualifications

• Experience in conforming to data governance frameworks.
• Knowledge of data lake architectures and unstructured data processing.
• Familiarity with machine learning workflows and AI-driven data applications.
• Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

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:

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Join to apply for the Core Engineering, CI/CD Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

Join to apply for the Core Engineering, CI/CD Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

Job Description

Goldman Sachs' culture is focused on helping our engineering teams to build and deploy secure products. We achieve this by building, and operating state-of-the-art security alongside our product and infrastructure teams.

Job Description

Goldman Sachs' culture is focused on helping our engineering teams to build and deploy secure products. We achieve this by building, and operating state-of-the-art security alongside our product and infrastructure teams.

The Secure Supply Chain team, within SDLC, is a function focused on ensuring that the code Goldman Sachs deploys is as secure as possible. In this role, the engineer will focus on next generation Software Bill of Materials (SBOM) system for dependency tracking and analysis. We blend third-party tooling with in-house systems to improve the security of many types of code including backend, frontend, infrastructure, and mobile.

How You Will Fulfill Your Potential

• Build and design systems that secure the entirety of Goldman Sachs' software supply chain
• Build and integrate systems detecting third-party vulnerabilities in libraries, OS and container components, etc.
• Integrate with our GitLab, CI/CD, and build attestation systems
• Partner effectively with Goldman's infrastructure teams and other security teams
• Collaborate with developers across Goldman Sachs to ensure our systems are embedded in their workflows
• Learn about security and apply that knowledge towards real-world problems
  
  

• 1+ (for Analyst)/ 3+ (for Associate) years of industry experience as a programmer, developer, SWE, or similar job roles
• General knowledge of multiple languages, and in-depth knowledge of at least one of: Golang, Java, Python
• General knowledge of Linux, Docker, Kubernetes, Terraform, AWS
• Knowledgeable about networking (TCP, UDP, ICMP, ARP, DNS, TLS, HTTP, SSH, etc)
• Experience with DevOps and IAC (Infrastructure As Code)
• Experience with all stages in the lifecycle of developing and running large distributed systems
• Experience managing performance, availability and scale of mid- to large-sized systems
• Good but not required to have experience in:
• Kafka or similar event streaming platforms
• Relational databases
• SRE best practices
• Team player, eager to work in a global organization
• Highly entrepreneurial and motivated
• Strong oral and written communication skills
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology

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SDLC & RUNTIME

We develop and support SDLC platforms and services to our 17,000 engineers worldwide, enabling them to deliver software for their business. Increasingly the firm relies on technology to achieve its commercial goals and deliver value to shareholders through innovative technology solutions. To achieve these ambitions, we must be able to empower our talented engineers by providing a developer environment that is attractive, matches their expectations, keeps them engaged and productive.

We are responsible for Goldman Sachs’ mission critical production platforms. Our aim is to innovate and drive technology solutions that will empower our engineers to deliver value to our clients. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems.

WHAT SLANG SDLC IS

Securities Database, known as SecDb, is the backbone of Goldman Sachs’ risk analytics platform for securities. The development of this proprietary software system marked a significant milestone in Goldman Sachs’ technological history. SecDb continues to be a strategic, critical platform for the Firm that we will continue to invest in for the foreseeable future. Slang stands for Securities Language - it is the language of SecDb. It is used by thousands of GS engineers worldwide, with 1500 production releases per day on average. It's our hyper-converged SDLC that supports this rapid development cycle, which our front office businesses rely on.

WHAT YOU WILL DO

• Maintain and improve the Slang SDLC workflow and tooling on the SecDb platform
• Focus on user experience and customer satisfaction
• Interact directly with the business and other tech teams to build innovative solutions to support the GS business
• Develop quickly on SecDb: changes to production systems can be made and deployed within minutes, while maintaining high quality standards
• High impact: Play a critical part in delivering value to our thousands of Slang developers worldwide

WHAT WE NEED FROM YOU

• A technical degree in Computer Science, Engineering, Math, or a related field
• Solid understanding and algorithms and data structures
• Min. 1 year (for Analyst)/ 3 years (for Associate)of experience in deep knowledge of object-oriented computer programming, preferably in large scale financial or technical organization
• Strong software development and design experience, including a clear understanding of data structures, algorithms, software design and core programming concepts
• Experience in working with large and complex software systems, distributed computing, and databases
• Ability to work cross-functionally as well as the ability to work as a hands-on individual contributor
• Motivation to learn about trading workflow and financial markets
• Slang experience is not required but highly advantageous

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:

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.

Join to apply for the Core Engineering, Slang SDLC Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

Join to apply for the Core Engineering, Slang SDLC Software Engineer, Analyst/ Associate, Singapore role at Goldman Sachs

SDLC & RUNTIME

We develop and support SDLC platforms and services to our 17,000 engineers worldwide, enabling them to deliver software for their business. Increasingly the firm relies on technology to achieve its commercial goals and deliver value to shareholders through innovative technology solutions. To achieve these ambitions, we must be able to empower our talented engineers by providing a developer environment that is attractive, matches their expectations, keeps them engaged and productive.

Job Description

SDLC & RUNTIME

We develop and support SDLC platforms and services to our 17,000 engineers worldwide, enabling them to deliver software for their business. Increasingly the firm relies on technology to achieve its commercial goals and deliver value to shareholders through innovative technology solutions. To achieve these ambitions, we must be able to empower our talented engineers by providing a developer environment that is attractive, matches their expectations, keeps them engaged and productive.

We are responsible for Goldman Sachs’ mission critical production platforms. Our aim is to innovate and drive technology solutions that will empower our engineers to deliver value to our clients. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems.

What Slang Sdlc Is

Securities Database, known as SecDb, is the backbone of Goldman Sachs’ risk analytics platform for securities. The development of this proprietary software system marked a significant milestone in Goldman Sachs’ technological history. SecDb continues to be a strategic, critical platform for the Firm that we will continue to invest in for the foreseeable future. Slang stands for Securities Language - it is the language of SecDb. It is used by thousands of GS engineers worldwide, with 1500 production releases per day on average. It's our hyper-converged SDLC that supports this rapid development cycle, which our front office businesses rely on.

What You Will Do

• Maintain and improve the Slang SDLC workflow and tooling on the SecDb platform
• Focus on user experience and customer satisfaction
• Interact directly with the business and other tech teams to build innovative solutions to support the GS business
• Develop quickly on SecDb: changes to production systems can be made and deployed within minutes, while maintaining high quality standards
• High impact: Play a critical part in delivering value to our thousands of Slang developers worldwide
  
  

• A technical degree in Computer Science, Engineering, Math, or a related field
• Solid understanding and algorithms and data structures
• Min. 1 year (for Analyst)/ 3 years (for Associate)of experience in deep knowledge of object-oriented computer programming, preferably in large scale financial or technical organization
• Strong software development and design experience, including a clear understanding of data structures, algorithms, software design and core programming concepts
• Experience in working with large and complex software systems, distributed computing, and databases
• Ability to work cross-functionally as well as the ability to work as a hands-on individual contributor
• Motivation to learn about trading workflow and financial markets
• Slang experience is not required but highly advantageous
  
  

• Seniority level Associate

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Goldman Sachs by 2x

Get notified about new Software Engineer jobs in Singapore, Singapore .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

What We Do

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, which is comprised of our Technology Division and global strategists groups, 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.

Who We Look For

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.

Our Impact

Our Securities Lending role involves working in a dynamic front-office trading environment.

Our end to end technology stack runs the firm’s Securities Lending business. We build innovative tech solutions for our businesses, allowing them to serve their Hedge Fund clients and Institutional Lenders. Our highly global technical team, sitting close to our traders, work together delivering solutions with a particular focus on micro services and trader UX. We’re agile, global and diverse. We currently have a strong focus on re-engineering and further automating our flows to enable us to increase our volumes to various electronic venues in a way that provides scale, transparency and control for trading.

Your Impact

You'll be responsible for being innovative, creative in solving real world problems related to trading and financial markets. This role will involve data analysis, designing, writing, reviewing, testing and implementing a variety of scalable applications leveraging the latest technologies. The applications we develop include inventory and risk management, calculating client pnl, and facilitating internal/external trading flows.

You will undertake development across all tiers of our business-facing systems within a global team (NY, LDN, Warsaw, Bengaluru, SLC). You will be expected to implement and suggest best development practices/methodologies to deliver high quality software throughout the development stack. Our primary technologies are Java, kafka, databases (MongoDB, Sybase, DB2, DataLake) and Web (reactJS, TypeScript).

How will you fulfill your potential?

• Develop a deep understanding how markets function front-to-back in the finance domain covering trading, client flow and transaction management
• Develop good project management skills & leadership skills
• Develop strong skills in programming and technical architecture design
• Build close working relationships with Business users covering Front Office Traders, Middle Office Operations and Back Office users.
• Develop personal skills to a high level
• Participate in a high work ethic environment

Basic Qualifications

• Min. 1 year of OO design/development experience
• Min. 1 year of Java experience
• Experience with test driven development and methodology
• Experience with real time streaming technologies like Kafka, Kafka-Stream
• Experience with Service Oriented Architecture and familiarity with REST services
• Experience providing high quality production support to a demanding user base
• Experience with requirement gathering from interactions with end-users
• Experience with full project life cycle and agile style development
• Solid communication and presentation skills
• Demonstrate solid ability to multi-task (1-2 simultaneous projects)
• Must be a self-starter

Preferred Qualifications

• Experience with real-time systems/messaging infrastructures
• Experience with full stack development
• Familiarity with build/deployment/runtime tools e.g. Gradle, Maven, Git, Spring, Kubernetes, Cloud
• Finance, Securities Lending and Equities knowledge a strong plus
• Familiarity with building and running resilient and scalable systems

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:

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.