Software Engineer, Trust & Safety Job at Gamma (San Francisco)

Software Engineer, Trust & Safety (Distributed Systems)

You'll architect and scale the trust infrastructure that keeps 70M+ users safe w...

Location

United States , San Francisco

Salary:

180000.00 - 275000.00 USD / Year

Gamma

Expiration Date

Until further notice

Requirements

5+ years of backend engineering experience building scalable, high-traffic production systems
Strong systems thinking and experience building highly available web APIs
Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis)
Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines
Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention
Track record shipping high-quality, complex applications under tight timelines
Product-minded approach with understanding of how technical decisions impact user experience and business metrics
Passion for security, user protection, and solving problems at scale

Job Responsibility

Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users
Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security
Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale
Help define and evolve the core data model and storage systems that underpin trust and safety across the product
Build tools that empower internal support teams to investigate and act on suspicious or malicious activity
Leverage AI/LLM-based detection to stay ahead of AI-generated abuse — phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity
Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one
Investigate and resolve complex security incidents with limited context
Partner with engineering and product to balance security with user experience
Shape Gamma's long-term trust and safety strategy and technical roadmap

What we offer

equity

Fulltime

Senior Software Engineer, Trust & Safety

As a Senior Software Engineer on our Trust & Safety team at Vercel, you’ll build...

Location

United States

Salary:

196000.00 - 294000.00 USD / Year

Vercel

Expiration Date

Until further notice

Requirements

5+ years of experience in abuse prevention, trust & safety, or security engineering
Strong programming skills in JavaScript/TypeScript and Python
Hands-on experience working with LLMs, including prompt engineering, evaluation, and fine-tuning
Solid understanding of cloud infrastructure, including AWS
Strong understanding of real-world threat actor behavior and abuse tactics
Experience owning systems end-to-end, from initial research through production deployment and iteration

Job Responsibility

Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets to inform detection logic, policy decisions, and scalable mitigations
Research, prototype, and implement state-of-the-art LLM-driven techniques for abuse detection, classification, and prevention
Design and develop production-ready systems that detect and disruptive abusive behavior across the Vercel platform
Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows
Collaborate closely with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems

What we offer

Competitive compensation package, including equity
Inclusive Healthcare Package
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
Flexible Time Off
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

Fulltime

International Space Station (ISS) Software Safety Engineer

Astrion has an exciting opportunity for a International Space Station (ISS) Soft...

Location

United States , Houston

Salary:

Not provided

Astrion

Expiration Date

Until further notice

Requirements

Bachelors or higher degree in computer science or other software field
3+ years related experience
Good understanding of software and computers
Good interpersonal skills
Good critical/analytical thinking skills
Must be a U.S. citizen and able to pass a public trust security clearance

Job Responsibility

Assure that software safety design and operations specifications and products meet International Space Station Program (ISSP), Safety & Mission Assurance (S&MA) software safety requirements
Assess the ISS software development, test, verification, and change products and identify problems and noncompliances
Ensure compliance with Computer Based Controls System Safety Requirements (SSP 50038B), ISS System Specifications (SSP 41000) and ISS Safety Requirements Document (50021) and applicable NASA standards (7150, 8719, 8739)
Prepare reports, present findings of evaluations, and provide recommendations to the NASA S&MA Software Team Manager
Participate in ISS on-orbit anomaly assessment process and evaluate safety compliance of proposed on-orbit software modifications
Participate in, and represent software S&MA assurance, as appropriate and as required in working groups, panels and boards

What we offer

Competitive salaries
Continuing education assistance
Professional development
Multiple healthcare benefits package options
401K with employer matching
Competitive time off policy along with a federally recognized holiday schedule

Fulltime

Senior Software Engineer

As a Senior Software Engineer, you will design and ship core components of the A...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science or related technical field and 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Experience building LLM-powered applications, RAG pipelines, prompt engineering, agent frameworks (Semantic Kernel, LangChain), or fine-tuning with an eye for evaluation, latency, and cost
Proficiency in AI-native development working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor
Experience shipping agent-based systems in production, including hands-on experience with evals, observability, and debugging
Experience standing up evals or observability for non-deterministic systems
Experience contributing to the safety posture of AI systems, including prompt-injection defences and audit trails
Ability to own and ship significant features or architectural components end to end
Collaboration across teams: experience aligning with partners and move work forward together

Job Responsibility

Build agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or equivalent
Owning the run‑state reliability of AI‑driven support workflows, including incident response, live‑site health, and continuous tuning
Adapting AI workflows to changing support business policies and operational processes (e.g., SLA calculations, case ownership, escalation models)
Driving customer trust, satisfaction, and sentiment, ensuring AI agents correctly understand intent and guide customers to resolution without degrading experience
Ensuring security, privacy, and responsible AI compliance, including rethinking role-based access control (RBAC), data access, case ownership vs. processing, and data exposure
Defining and implementing observability, monitoring, and intervention mechanisms for multiple AI agents operating concurrently
Partnering across engineering, support business, compliance, and platform teams to establish scalable patterns for AI‑managed support
Contributing to the vision and delivery of a platform that enables citizen developers to safely build AI agents for support workflows with reduced barrier to entry

What we offer

Medical, vision, and dental coverage
401(k) retirement plan
Paid time off (PTO)
Employee stock purchase plan
Health savings account (HSA)
Flexible spending accounts (FSA)
Life and disability insurance
Parental leave
Mental health resources
Volunteering paid time off

Staff Software Engineer

You'll help build Confluent Cloud's AI capabilities — the layer that lets custom...

Location

Canada

Salary:

225100.00 - 260500.00 CAD / Year

Confluent

Expiration Date

Until further notice

Requirements

10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production
Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals — containerization, networking, resource isolation
Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three
A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind
Excellent written and verbal communication — you can write a design doc that aligns people who don't report to you

Job Responsibility

Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data
Own features end to end — drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion
Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution
Own the quality of what you ship — code, test coverage, documentation, operability, and rollout safety
Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work
Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
The Best Teammates
Experience Ambassadors
Open and Honest Culture
Well-Being and Growth
Offers Equity

Fulltime

Principal Software Engineer

The Principal Software Engineer is the senior-most hands-on technical leader for...

Location

India , Chennai

Salary:

Not provided

RX Global

Expiration Date

Until further notice

Requirements

Proven experience as a senior technical leader across multiple teams/services within a bounded domain
Strong polyglot background (e.g., C#/.NET, Java, JavaScript/Node) and ability to choose fit-for-purpose technologies
Experience modernising systems: migrating from legacy architectures to cloud-native patterns, reducing technical debt, and decommissioning safely
Experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies
Experience developing integrated solutions within a broad technical and business context of significant impact
Experience evaluating third-party services and platforms (security, cost, operations, integration complexity)
Experience leading cross‑team architectural change, platform adoption, or measurable improvements to reliability/cost/performance (with before/after metrics)
Familiarity with responsible AI usage in engineering workflows (policy/guardrails, data privacy, human‑in‑the‑loop review)
Bachelor’s/Master’s degree in Computer Science (or related) or equivalent professional experience
Expert software design skills: SOLID, DDD, event-driven architecture patterns, modular design, and maintainable codebases

Job Responsibility

Engineering Leadership & Culture: Create an environment where teams can do their best work by removing blockers, improving engineering practices, and contributing to a culture of psychological safety and high standards
Mentor and coach engineers across teams—especially senior engineers and emerging tech leads—in architecture, systems thinking, and operational excellence
Promote strong technical ownership ("you build it, you run it"), including operational readiness and post-incident learning
Support scalable knowledge-sharing mechanisms (e.g., tech talks, playbooks, templates, reference implementations)
Participate in hiring loops and help onboard new engineers into domain patterns and practices
Provide hands-on contributions where needed (prototypes, reference implementations, complex refactors, high-risk changes)
Guide teams in decomposition and sequencing to reduce delivery risk
support estimation/sizing and technical discovery
Leads through influence
demonstrates integrity, accountability, and constructive challenge

What we offer

Comprehensive Health Insurance: Covers you, your immediate family, and parents
Enhanced Health Insurance Options: Competitive rates negotiated by the company
Group Life Insurance: Ensuring financial security for your loved ones
Group Accident Insurance: Extra protection for accidental death and permanent disablement
Flexible Working Arrangement: Achieve a harmonious work-life balance
Employee Assistance Program: Access support for personal and work-related challenges
Medical Screening: Your well-being is a top priority
Modern Family Benefits: Maternity, paternity, and adoption support
Long-Service Awards: Recognizing dedication and commitment
New Baby Gift: Celebrating the joy of parenthood

Fulltime

Principal Software Engineer

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Redmond

Salary:

142800.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Job Responsibility

Architecture Strategy & Roadmap (Cloud + AI + Agentic)
Own the reference architecture and technical roadmap for AI/Agentic platform capabilities (e.g., orchestration, skills, tools/plugins, memory, retrieval, evaluation, observability, governance)
Translate Customer Success business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”)
Technical Leadership & Architectural Governance
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls)
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation
Responsible AI, Security, Privacy, and Compliance by Design

Fulltime

Senior Software Engineer, Simulation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

129400.00 - 198400.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

5+ years of applied experience developing complex evaluation, simulation, or test frameworks.
Proficient in developing Python for production systems, including unit testing, code review, performance tradeoffs, and reliability best practices.
Demonstrated ability to drive technical design and execution across multiple teams and organizations in a remote or distributed environment.
Strong communication and collaboration skills.
BS, MS, or PhD in Computer Science, Engineering, or equivalent experience.

Job Responsibility

Design, build, and maintain large-scale test infrastructure and evaluation pipelines that enable and quantify the accuracy, reliability, and efficiency of simulation tests used for autonomous vehicle software validation.
Develop and maintain GM's core simulation dashboards and reports, delivering clear, actionable, and interpretable insights on test operations, simulation trust and health trends to engineering teams and leadership.
Drive scalable simulation quality assessments, standardized processes, and automation to support seamless integration of automated outputs with human-in-the-loop analysis and evaluation.
Collaborate with cross-functional partners across Autonomy, Systems, Safety, and customer teams to define, refine, and drive consensus on simulation validation methodologies and requirements.
Uphold high standards for code quality and software architecture through code reviews and technical leadership, mentoring other engineers on software engineering and simulation testing best practices.
Leverage AI-assisted development tools and analytics platforms to enhance productivity, improve code quality, and drive innovation in simulation testing.

What we offer

Medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

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Software Engineer, Trust & Safety

Job Description

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