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Added 2 mins ago
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IT Engineer
Artemis
New York City, NY
- $160,000 to $180,000 USD / year
Artemis’s founders have built and scaled security products used by tens of thousands of customers. Shachar Hirshberg (CEO) led Amazon GuardDuty, the world’s largest cloud detection product,…
Added 28 mins ago
Sr SW Design Quality Assurance Engineer
DexCom Inc
Remote, United States
The Senior Software Design Assurance (Sr Software Design Quality) Engineer provides technical support and guidance to Software teams to ensure conformance to software development process…
Added 1 hour ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Augusta, ME
Support the implementation of Azure AI and machine learning capabilities, including Microsoft Foundry, Azure AI services, Azure Machine Learning, model deployment, and data science…
Added 1 hour ago
Support Engineer
Skild AI
San Mateo, CA
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through…
Added 1 hour ago
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Senior/Staff Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $175,000 to $220,000 USD / year
- Design, develop, and own scalable backend services, APIs, and data pipelines across application, identity, storage, and machine learning layers.
Added 1 hour ago
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Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $145,000 to $260,000 USD / year
- Experience with AI or machine learning products, including LLMs or AI agents, is a plus.
Added 1 hour ago
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Full-Stack Engineer, Agent Evaluation & Reliability
True Talent Solutions Partners
San Francisco, CA
- $120,000 to $180,000 USD / year
- Hands-on machine learning model development experience, in addition to software engineering experience.
Added 1 hour ago
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Lead Software Engineer, Platform
True Talent Solutions Partners
San Francisco, CA
- $220,000 to $320,000 USD / year
Join a platform engineering team at an AI and machine learning startup, strengthening the infrastructure behind document processing workflows. You will help make customer jobs faster, more…
Added 1 hour ago
Senior Director, Forward Deployed Engineer - Operational AI
Aerospike, Inc.
Remote, United States
Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per…
Added 1 hour ago
Senior Site Reliability Engineer AI Security Federal
BizFirst
McLean, VA
BizFirst is assisting our client with recruiting a Senior Site Reliability Engineer for AI security in a federal civilian agency environment. As the resident reliability engineer, you will…
Added 1 hour ago
Data Platform Engineer (Army Vantage) - Clearance Required
LMI
United States
LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s…
Added 1 hour ago
Senior Cybersecurity Architect (Cloud)
Amentum
Carson City, NV
Design and implement security architectures for generative AI, machine learning, enterprise copilot, and agentic systems, including secure access, data protection, identity, logging,…
Added 1 hour ago
Cybersecurity Engineer (Cloud)
Amentum
Carson City, NV
Implement and operate security controls for approved AI and machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, and tool…
Added 1 hour ago
Intern - YE-Electrical Failure Analysis Engineer
Micron Technology
Boise
Micron is seeking a highly motivated Yield Enhancement Engineer Intern to join our semiconductor manufacturing organization. In this role, you will work alongside experienced engineers to…
Added 1 hour ago
Product Pathfinding Engineer- HIG-TPG
Micron Technology
Boise, ID · Boise
In HBM HIG (High Bandwidth Memory, Heterogeneous Integration Group) or equivalent experience, we innovate and integrate end-to-end front-end and backend processes. We develop inventive…
Added 1 hour ago
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Founding ML Research Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
- Strong CS, machine learning, or engineering fundamentals, and a record of independently driving product decisions from idea to production.
Added 1 hour ago
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Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Data science or machine learning experience, or an academic foundation in statistics, mathematics, or a related quantitative field.
Added 1 hour ago
Senior Systems Engineer
WRA, Inc.
Remote, United States
We’re hiring a Senior Systems Engineer as WRA builds its new internal IT & Cybersecurity functions. We are actively transitioning from an MSP model to a fully in-house model, and this role…
Added 1 hour ago
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Senior Security Engineer - Detection & Response
Lambda
San Francisco, CA · San Jose, CA · Bellevue, WA
- $296,000 to $395,000 USD / year
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description…
Added 1 hour ago
Staff/Principal AI Transformation Engineer
DiDi Labs
San Jose, CA · Mountain View, CA
We are seeking a visionary, highly technical, and mission-driven Staff or Principal AI Transformation Engineer to act as the ultimate catalyst for our company-wide AI transformation. In…
Added 2 hours ago
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Cloud Platform Engineer I
Centene Management Company LLC
Remote, United States
- $30.58 to $55.09 USD / hour
The Cloud Platform Engineer I is a position for a motivated developer who will be joining our engineering team and help design, develop, and operationalize AI-enabled applications and…
Added 2 hours ago
Remote AI Application Engineer
Insight Global
Upper Providence, PA
2+ years of experience developing and deploying machine learning, generative AI, or LLM-enabled applications.
Added 2 hours ago
Senior Machine Learning Engineer
Themis Solutions Inc.
Remote, United States
We are currently seeking a Senior Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and…
Added 2 hours ago
Senior Software Development Engineer, AWS EC2 Nitro Team
Amazon Development Center U.S., Inc.
Santa Clara, CA
We are looking for an experienced software engineer to drive development for new EC2 machine learning platforms. In this role, the engineer will work with a broad and deep group of…
Added 2 hours ago
Software Engineer- AI Agents / Generative AI
PNC Bank NA
Strongsville, OH
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together…

Salesforce, Inc.

Lead Full Stack Security (Systems & Software) Engineering (GRC)

WA, United States

$172,500 to $260,100 USD / year

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Job details

Pay: $172,500 to $260,100 USD / year
Posting language: English
Posted: Nov 2, 2026

Original job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Software Engineering Job Details

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword - it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience Join the team building the next-generation Security Assurance Governance, Risk, and Compliance (GRC) platform at Salesforce. As a lead full stack engineer, you own the architecture, technical roadmap, and delivery of the platform's core engines, including policy as code, compliance as code, automated evidence collection, telemetry and alerting, and risk evaluation. You guide distributed feature teams from concept through deployment and shape how AI coding assistants are used across the engineering organization to raise both speed and code quality.

What You'll Actually Be Doing

Take technical ownership of complex, multi-system initiatives, driving architectural decisions, technical specifications, phase planning, and execution across the delivery lifecycle.
Architect resilient, cloud-native microservice architectures that process large-scale compliance telemetry, support automated evidence ingestion, and run low-latency risk evaluation engines.
Partner with Product Management, Security Architects, and GRC leaders to translate business and regulatory strategies into detailed technical roadmaps, milestones, and sprint backlogs.
Establish engineering standards, perform high-impact code and architecture reviews, enforce secure coding guidelines, and set rigorous continuous integration and continuous delivery (CI/CD) and testing benchmarks across the engineering organization.
Design and implement extensible Policy as Code and Compliance as Code engines, using Open Policy Agent (OPA) or custom evaluation frameworks, along with runtime platforms such as Cloud Security Posture Management (CSPM) and Endpoint Detection and Response (EDR) tools, that dynamically audit infrastructure and enterprise controls.
Constrain the outputs of AI coding assistants with declarative, machine-readable rules.
Lead the design of automated evidence collection pipelines that integrate with multi-cloud environments (Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)), identity providers, enterprise security tools, CI/CD pipelines, ticketing systems, and corporate productivity applications such as Workday and NetSuite.
Build dynamic risk analysis engines and auditing interfaces that map continuous technical evidence against major regulatory standards, including National Institute of Standards and Technology (NIST) Special Publication 800-53, International Organization for Standardization (ISO) 27001, and System and Organization Controls (SOC) 2.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow, pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code, whether human- or AI-generated, for correctness, quality, security, and performance.
Lead the adoption and integration of AI coding assistants, such as Claude, Gemini, and OpenAI application programming interfaces (APIs), across the engineering lifecycle to improve team productivity, automate test generation, and streamline refactoring.
Mentor senior and mid-level engineers across time zones, fostering a culture of technical excellence, accountability, and continuous learning.
Lead cross-functional alignment and technical discussions across a geographically dispersed team that works in an asynchronous-first culture.

You're Our Person If...

10 to 12+ years of professional full stack software and systems engineering experience, including 3+ years in a Lead, Staff, or Principal Engineer capacity leading technical projects and distributed engineering teams.
A proven record of taking complex Software as a Service (SaaS) platforms or enterprise software projects from architectural inception to production delivery.
The ability to break down ambiguous business requirements into high-level architecture designs, concrete technical epics, and actionable execution plans.
Deep mastery of both Python and Java, including enterprise frameworks such as FastAPI, Django, Flask, and Spring Boot, and microservice design patterns.
Advanced proficiency in modern JavaScript or TypeScript frameworks (React, Vue, or Angular), with experience designing scalable component libraries and complex data visualization dashboards.
Strong expertise in relational databases (PostgreSQL, MySQL), NoSQL and graph databases, distributed data processing, containerization (Docker, Kubernetes), and a public cloud platform (AWS, Azure, or GCP).
Working knowledge of NIST SP 800-53, ISO/IEC 27001, and SOC 2 Trust Services Criteria.
Direct experience building or architecting systems around continuous control monitoring, automated audit trails, or policy engine evaluation, such as OPA with the Rego language.
A demonstrated, genuine AI-first approach to engineering, using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools, such as Claude Code, GitHub Copilot, Codex, and Cursor, in development workflows, along with a strategic vision for integrating AI into technical workflows.
Advanced prompt engineering skills, including the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A related technical degree required.

Even Better If...

Experience architecting commercial GRC tools, Security Information and Event Management (SIEM) systems, or CSPM systems.
Practical experience implementing OPA or similar policy-as-code tools at scale.
Security certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a cloud security specialty certification.
Experience with the Salesforce platform, including Lightning Web Components, Apex, and Salesforce Object Query Language (SOQL).

Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.

Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $172,500 - $260,100 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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