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Engineering -- Tech Risk -- Global Cyber Defense & Intelligence -- SensorGrid -- Associate -- Dallas

Goldman Sachs

Goldman Sachs

Dallas, TX, USA
Posted on Thursday, June 6, 2024

Job Description

Tech Risk – Global Cyber Defense & Intelligence – Engineering – SensorGrid - Associate


Led by the Chief Information Security Officer (CISO), Technology Risk secures Goldman Sachs against hackers and other cyber threats. We are responsible for detecting and preventing attempted cyber intrusions against the firm, helping the firm develop more secure applications and infrastructure, developing software in support of our efforts, measuring cybersecurity risk, and designing and driving implementation of cybersecurity controls. The team has global presence across the Americas, APAC, India and EMEA.

Within Technology Risk, Global Cyber Defense and Intelligence (GCDI) team identifies malicious activity, manages the lifecycle of vulnerabilities within GS technologies, and investigates and manages threats across the firm. We are a team of security, software, and product engineers that allow the firm to respond appropriately to firm risks using detection models, security architecture, and cutting-edge cyber threat analysis to manage internal and external threats against the firm.


You will be a key addition to GCDI Engineering’s Sensor Grid team which operates in multiple capacities across a variety of internally developed technologies and vendor products, with focus on three major areas:

Sensor Engineering - we research, implement and support best in class technology solutions that enable a comprehensive Cyber Defense program for the firm. Areas include but are not limited to network connection and packet capture, data leakage protections, malware analysis, sandbox technologies.

Data Ingestion Engineering - we collect security related events and data feeds into a centralized big data infrastructure. We research, implement and support best in class technology solutions related to data ingestion, transformation, enrichments, and analysis. Technologies include but are not limited to Kafka, Spark, Kubernetes, and BigQuery.

Security Platform Engineering – we research, implement, and support the platforms and tooling leveraged by other teams within GCDI to perform security automation and response, real-time and scheduled log analysis, data science modeling, and customized SDLC workflows.


As an Engineer in Sensor Grid Engineering, you will be an integral part of a technical team that is responsible for providing the GCDI organization with security sensors and data sets that increase awareness of current and potential Cyber Threats. The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.

You possess the aptitude to work across teams and product owners, to elicit tool-related requirements from all parts of Technology Risk, and to work with tool vendor support teams in resolving issues that may arise.

Job Responsibilities:

  • Contribute to the design, deployment, administration, maintenance, customization, and scalability of the systems and data feeds needed to protect the firm from Cyber Threats across on-premises data centers and multiple cloud providers
  • Participate in implementation architect discussions and develop solutions that will advance security monitoring and controls
  • Participate in Proof-Of-Concept activities to explore and evaluate new technologies
  • Become a subject matter expert in several security sensors as well as the data flow and analytics of the resulting output
  • Become a subject matter expert related to those systems and their customization, such as integration with firm authentication and authorization systems, API usage, and industry direction

Basic Qualifications:

  • Bachelor’s degree in Computer Science, System/Computer Engineering, Cyber or Information Security
  • 2+ years of relevant experience in one or more domains:
  • Data ingestion / ETL
  • Big data Infrastructure
  • Cloud infrastructure design and implementation
  • Enterprise security tooling
  • Process automation
  • Spark
  • Kafka
  • BigQuery
  • Kuberbetes
  • Strong communication skills and a natural inclination to collaborate.
  • Problem solves from an out-of-the box perspective, doesn’t always default to industry norms.



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: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2024. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity