Full-Time

Engineering

Cloud Security, Security Architecture & Platform Engineering

Posted on 6/11/2026

Goldman Sachs

Goldman Sachs

10,001+ employees

Global investment banking, securities, asset management

Compensation Overview

$115k - $180k/yr

+ Bonus

Company Historically Provides H1B Sponsorship

Seattle, WA, USA

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Datadog
Kubernetes
Python
JavaScript
Java
Infrastructure as Code (IaC)
TypeScript
CloudFormation
Microservices
AWS
Terraform
REST APIs
DevOps
Splunk
OAuth
SaltStack

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Requirements
  • Minimum 2-4 years of relevant professional experience with at least 1+ years of familiarity with AWS services
  • B.S. or higher in Computer Science (or equivalent work experience)
  • Familiarity with disciplines of enterprise software development such as configuration and release management, source code and version controls along with operating considerations such as monitoring
  • Experience performing and/or leading root cause analysis following incidents
  • Experience in Security or Data engineering preferably in an SRE/DevOps environment
  • Practiced in Java, Python, Javascript / Typescript / Node
  • Strong written and verbal communication skills
  • Ability to establish trusted partnerships with product leads and engineering stakeholders
  • Comfort with agile operating model and DevOps culture
  • Understanding of authentication protocols (OAuth 2.0, mTLS, certificate-based authentication)
  • Familiarity with cloud security standards (CIS Benchmarks, NIST frameworks) and compliance requirements
Responsibilities
  • Design, implement, and maintain secure cloud architecture aligned with NIST frameworks and industry-recognized cloud security standards, ensuring compliance, resilience, and least-privilege access across cloud environments
  • Build and deploy cloud security posture management infrastructure using Infrastructure as Code (Terraform/CDK)
  • Implement integrations with enterprise services including risk management systems, monitoring platforms, SIEM, and compliance frameworks
  • Deploy and maintain security policies, automated compliance validation, and remediation workflows
  • Guides and upskills other engineers and clients in cloud best practices; demonstrates expertise with automation and infrastructure as code (IaC)
  • Migrate infrastructure security controls to policy-as-code frameworks with automated testing and validation
  • Integrate security controls into CI/CD pipelines for shift-left security and pre-deployment validation
  • Optimize security policies during migration for improved coverage and reduced false positives
  • Implement policy versioning, change management workflows, and automated deployment pipelines
  • Understanding of AWS
  • Support secure-by-default infrastructure initiatives for standardized cloud account provisioning
  • Integrate security controls into Software Development Lifecycle (SDLC) with automated gates and validation
  • Implement security baselines and automated compliance checks for new cloud accounts and services
  • Provide self-service security scanning and remediation tools for development teams
  • Past enterprise level experience in DevOps, Software, Infrastructure or Site Reliability Engineering (2-4 years)
  • Proficient in infrastructure as code practices using technologies such as CDK, Terraform, AWS CloudFormation, and/or SaltStack
  • Experience building CI/CD pipelines from scratch or integrating security controls into existing pipelines
  • Hands-on experience developing and improving all phases of the software development/delivery lifecycle
  • Strong grasp of container technology including container orchestration
  • Support implementation of cloud-native authentication and authorization frameworks for service flows
  • Assist with service identity onboarding and certificate lifecycle management
  • Execute migration procedures and validate authentication flows for cloud-native access patterns
  • Troubleshoot authentication issues, performance bottlenecks, and integration challenges
  • Provide technical support to application teams during authentication framework migrations
  • Proficient in one or more enterprise scale observability tools such as Splunk, Datadog, FluentD, ELK
  • Experience maintaining and improving the reliability of applications and infrastructure
  • Provide regional timezone coverage for cloud access and security platform operational issues
  • Participate in 24/7 on-call rotation for security incidents and platform support
  • Monitor platform health, respond to alerts, and escalate critical incidents as needed
  • Implement monitoring, alerting, and automated remediation workflows
  • Ability to document solutions, cloud architectural patterns, and best practices to ensure that clients have guidance as needed
  • Proven ability to partner with cloud hyperscale partners to define and troubleshoot cloud architectures and service enablements
  • Create runbooks for operational scenarios, troubleshooting guides, and training materials
  • Collaborate with global team members for consistent implementation across regions
  • Solid understanding of Microservices and APIs
  • Develop automation scripts for operational tasks, security workflows, and remediation processes
  • Build dashboards and reporting mechanisms for security posture visibility
  • Eager to problem solve and troubleshoot issues that may arise day to day

Goldman Sachs delivers financial services across investment banking, securities, and asset management to corporations, governments, financial institutions, and high-net-worth individuals. Its offerings include advising on mergers and acquisitions, underwriting and distributing new securities, and managing client assets, with revenue from advisory and underwriting fees, trading commissions, and asset-management fees. The firm differentiates itself through a global reach, an integrated capital-markets platform, and deep client relationships that enable end-to-end financial solutions. Its goal is to help clients raise capital, grow their businesses, manage risk, and generate returns, while pursuing social responsibility initiatives that support small businesses and promote racial equity.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1869

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Simplify Jobs

Simplify's Take

What believers are saying

  • Goldman secured $70B retirement asset management deals from Verizon and Lockheed Martin in 2026.
  • AI-driven efficiency gains could boost 2029 earnings to $22.6 billion per optimistic analysts.
  • Diversifying AI investment beyond hyperscalers opens new asset management revenue streams for emerging opportunities.

What critics are saying

  • China's 92% rare earth refining dominance threatens AI infrastructure portfolios within 6–12 months with high impact.
  • Negative $47.2B free cash flow and 4.9x debt-to-equity expose Goldman to capital stress if 2029 targets stall.
  • Post-2025 tail risk rules will compress shareholder returns on fee-based lines within 6–12 months with high impact.

What makes Goldman Sachs unique

  • One GS is an AI-propelled operating model disrupting client onboarding, regulatory reporting, and sales enablement.
  • Goldman leads in agentic AI services via 'agent as a service' revenue models for multistep task execution.
  • The firm advises clients on energy infrastructure to overcome the 'gigawatt ceiling' bottleneck for AI data centers.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Health Savings Account/Flexible Spending Account

Paid Vacation

Paid Sick Leave

Paid Holidays

Professional Development Budget

Company News

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Wall Street's major banks are reporting strong earnings, with JPMorgan and Goldman Sachs benefitting from AI infrastructure buildout and geopolitical volatility. JPMorgan posted net income of $16.5 billion, up 13% year over year, whilst Goldman saw investment banking fees jump 48%. The AI boom is driving unprecedented corporate borrowing, with banks profiting from debt underwriting, bond trading and advisory services. Goldman led Oracle's $25 billion bond offering in February, one of the largest corporate sales recently. JPMorgan CEO Jamie Dimon cited "AI-driven capital investment" as a key macroeconomic driver. Meanwhile, war-related volatility is boosting trading desks. JPMorgan's fixed income trading rose 21%, driven by activity in commodities, credit and currencies. Goldman's equities division surged 27%, reflecting increased client hedging activity amid geopolitical uncertainty.

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Goldman Sachs cuts Amazon price target to $275 amid $200B AI spending concerns

Goldman Sachs has lowered its price target on Amazon to $275 from $280 whilst maintaining a Buy rating ahead of the company's earnings report on 30 April 2026. The revised target still implies upside from the current share price of around $240. Analyst Eric Sheridan highlighted four key areas shaping Amazon's trajectory: AWS cloud revenue growth and AI investment returns, rising energy prices affecting margins, the commercialisation timeline for Amazon Leo, and the fast-growing advertising platform. Amazon's AI push through AWS has reached an annualised revenue run rate exceeding $15 billion, whilst its chip business surpassed $20 billion in revenue with triple-digit growth. However, capital expenditures could approach $200 billion in fiscal 2026, pressuring free cash flow despite strong overall performance showing net sales of $716.9 billion and operating income of $80 billion for the full year.

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Goldman Sachs deploys Anthropic's Claude Mythos AI to find cyber vulnerabilities after US urging

Goldman Sachs is strengthening its cyber defences using Anthropic's Claude Mythos Preview AI model, according to CEO David Solomon. The bank is collaborating with Anthropic and security vendors to accelerate investment in its security infrastructure. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an urgent meeting with Wall Street leaders in Washington, urging banks to test the model against their systems. Mythos is designed to identify complex exploit chains—linked software vulnerabilities used in sophisticated cyberattacks that security researchers often miss. The model has discovered thousands of bugs, including one in OpenBSD that remained undetected for 27 years. US officials are pushing critical industries towards machine-scale cyber defence, though the approach has sparked international friction with European regulators and internal US government disagreements.

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