This high-impact role spans across domains,from procurement and manufacturing to cloud services and data pipelines ,and plays a critical part in enabling efficient engineering workflows, business intelligence, and flight operations at scale. You’ll collaborate closely with cross-functional teams including hardware, manufacturing, operations, and satellite flight control to develop internal tools that streamline processes and accelerate development.

You will own and deliver scalable systems to ensure that we can build, test, and launch satellites efficiently. This role supports both commercial and US Government satellite programs.

Responsibilities:

• Design, implement, and maintain scalable software systems that support hardware design, manufacturing, and automated testing.
• Build out data pipelines that will be used to drive decision making across teams.
• Own backend development for internal tools across test infrastructure, manufacturing, and business intelligence.
• Build integrations with hardware design, procurement, and production platforms such as Altium, Arena, NetSuite, and others.
• Automate manual workflows to increase operational velocity across engineering, production, and satellite operations.
• Collaborate with engineers, operators, and technicians to gather requirements, refine tools, and deliver impactful solutions.
• Own projects from architecture and design through implementation, test, deployment, and iteration.

Requirements:

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
• 2+ years of professional software engineering experience.
• Strong proficiency with Python.
• Experience designing and maintaining REST or GraphQL APIs.
• Strong foundation in working with SQL databases (e.g., Postgres).
• Experience deploying backend services to cloud environments (e.g., AWS, GCP).
• Comfortable working in Linux, using shell tools, and managing source control with Git.
• Familiarity with Docker, Kubernetes, or other container-based deployment strategies.

Bonus:

• Experience with platforms like Altium, Arena, NetSuite, First Resonance, Manufacturo, or similar tools used in hardware development.
• Background in manufacturing, logistics, or aerospace systems.
• Familiarity with automated test strategies and embedded system validation.
• Experience developing for real-time telemetry systems or ground control interfaces.
• Experience with hardware-software interfaces, including instrumentation, schematics, and validation workflows.

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

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The tools you build will be used by our customers to view the performance of satellites and internally to plan, design and optimize our satellite networks and its performance. This role will contribute to both commercial and US Government programs.

Key Responsibilities:

• Lead the design, build, and implementation of Satellite and network management software
• Own backend and UI development for internal tools across test infrastructure, mission control, and business operations
• Build intuitive web-based UIs for telemetry dashboards, test orchestration, command execution, and workflow monitoring
• Automate manual workflows to increase operational velocity across engineering, network, and satellite operations
• Work closely with the mission operations teams to create software that helps design, build and manage Satellites and Networks
• Design high-performance, reliable, mission-critical software that sends commands to space
• Collaborate with multidisciplinary teams to define software requirements, architectures, and designs

Requirements:

• Bachelor's degree in Computer Science or a related technical field
• 7+ years of experience as a full stack developer in industry
• Experience with system level architecture and big data design
• Strong proficiency with React JavaScript/TypeScript and Python
• Experience with FastAPI or similar frameworks
• Experience working with relational/SQL databases (e.g. Postgres)
• Experience designing and maintaining REST or GraphQL APIs
• Comfortable rapidly prototyping and fully developing user interface concepts with focus on overall user experience
• Comfortable diving into all layers to implement both front-end and back-end components of new features
• Experience deploying backend services to cloud environments (e.g., AWS, GCP)
• Comfortable working in Linux, using shell tools, and managing source control with Git
• Familiarity with Docker, Kubernetes, or other container-based deployment strategies
• Highly motivated, self-starting, and able to perform duties autonomously without supervision

Bonus Requirements:

• Experience with developing high availability systems
• Experience with C++
• Experience in Satellite operations / Network Management Software
• Experience with application deployment operations and release/version management (CI/CD) and cluster management
• Experience with design systems and rapid UI prototyping for internal tooling

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Your role will involve troubleshooting technical challenges, optimizing services and data pipelines, and continuously researching new technologies to enhance system performance. By mentoring junior engineers and contributing to our team culture, you'll help ensure the reliability, security, and efficiency of mission-critical trading systems in a dynamic, fast-paced environment.

As a Full Stack Developer on our Aladdin Trading Engineering team, you will:

• Design, develop, and maintain scalable web applications and backend services to support trading operations.
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions.
• Implement and optimize high-performance APIs, microservices, and data processing pipelines.
• Ensure best practices in code quality, testing, deployment, and security.
• Troubleshoot and resolve technical issues across the full stack with a focus on reliability and efficiency.
• Continuously research and adopt new technologies to improve team productivity and system performance.
• Mentor junior engineers and contribute to a positive, innovative team culture.

We are looking for a seasoned Full Stack Engineer passionate about building world-class trading systems and eager to work with a team that values innovation and quality.

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You'll design and develop greenfield backend services that close competitive gaps and position GitLab as a single platform for enterprise security, directly shaping how thousands of organisations understand and manage their security posture at scale.

Working closely with a distributed team of 8 engineers, a Product Manager, and a UX designer across the US, Israel, and India, you'll own critical backend systems and APIs that power capabilities like a new Security Manager role system, asset inventory with posture sharing, logical asset gathering with statistics, and unified configuration for GitLab's security tools.

Some examples of our projects:

• Building a new Security Manager role system to centralise and streamline security administration

• Creating assets inventory and posture sharing capabilities, including logical asset gathering and unified configuration for all GitLab security tools

Design and develop next-generation Security Platform Management capabilities that strengthen GitLab's enterprise security offering

Build and optimise scalable backend services and data models in Ruby on Rails with PostgreSQL for large volumes of security data

Develop and maintain robust REST and GraphQL APIs that power security workflows across the GitLab platform

Collaborate with Infrastructure, Policies, and Security Insights teams to deliver cross-functional security features end to end

Implement and refine unified configuration mechanisms for GitLab's suite of security tools to simplify management at scale

Work within focused, feature-specific squads to deliver high-impact, well-tested functionality with minimal context switching

Contribute to technical design decisions, code reviews, and standards that shape the architecture of GitLab's security platform

Proficiency in backend development with Ruby on Rails, including building and maintaining production services

Experience designing and optimising PostgreSQL schemas and queries for large-scale data

Experience building and maintaining REST and GraphQL APIs that integrate with complex products or platforms

Familiarity with Git-based workflows and continuous integration and delivery (CI/CD), ideally using GitLab

Knowledge of Elasticsearch and NoSQL database technologies, or interest in learning and applying them

Experience working in collaborative, cross-functional teams with product management and design

Ability to work autonomously in an all-remote, asynchronous environment while staying aligned with team goals

Interest in security domains and in building scalable, reliable solutions for enterprise customers, with openness to transferable experience from related areas

The Security Platform Management team sits within GitLab's Security Risk Management area and is responsible for building new platform capabilities that help enterprises understand, manage, and improve their security posture inside GitLab.

Our team consists of 8 backend engineers, 1 Product Manager, and 1 UX designer distributed across the US, Israel, and India, and we collaborate asynchronously and organise into feature-specific squads to deliver focused outcomes.

We own initiatives such as the new Security Manager role system, security assets inventory with posture sharing, logical asset gathering and statistics, and unified configuration for GitLab's security tools.

Our main opportunity is greenfield: we are designing and shipping net-new enterprise security solutions rather than maintaining legacy systems, and defining how large organisations use GitLab to secure applications at global scale.

The base salary range for this role's listed level is currently for residents of the United States only.

This range is intended to reflect the role's base salary rate in locations throughout the US.

Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location.

The base salary range does not include any bonuses, equity, or benefits.

See more information on our benefits and equity.

Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range $98,000-$210,000 USD

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You'll work at the intersection of backend engineering and infrastructure, shaping architecture in Ruby on Rails and Go, guiding decisions around role-based access control (RBAC), GraphQL APIs, and Kubernetes deployment configuration.

In your first year, you'll help move Secrets Manager toward general availability, establish technical patterns the team can build on, and represent the team's point of view in cross-functional discussions.

You'll have end-to-end ownership, from design through production operations, with room to identify what should be built next and improve how the team delivers secure, reliable features.

Responsibilities

• Build and maintain secure, readable backend code primarily in Ruby on Rails, with some development in Go for targeted components.

• Design backend architecture for complex security features, including secrets access control, pipeline security enforcement, and OpenBao integration.

• Lead the development of role-based access control models, GraphQL APIs, and supporting application patterns for features owned by the team.

• Own features end to end, from technical design and implementation through deployment, validation, and production support.

• Collaborate with Product, security partners, and other engineering teams to document tradeoffs, align on direction, and deliver iteratively in a distributed environment.

• Improve code quality, maintainability, security, and performance through code review, design iteration, and internal standards for a high-scale web environment.

• Build and maintain Helm charts, including configuration, tuning, documentation, and automated testing for Kubernetes-based deployments.

• Validate features in Kubernetes environments, including GitLab Cloud Native and Cloud Native Hybrid deployments, using GitLab testing and performance testing frameworks.

Requirements

• Experience building and maintaining backend features with a focus on secure design, data handling, and production reliability.

• Ability to write production-quality code in Ruby on Rails, including use of framework security patterns and review for common application risks.

• Working knowledge of CI/CD concepts and the ways pipelines can be misconfigured, abused, or expose sensitive data.

• Familiarity with secrets management approaches and security practices for handling credentials in CI environments; experience with tools such as HashiCorp Vault or similar systems is helpful.

• Comfort collaborating across Product and engineering teams in an asynchronous, distributed environment and communicating technical tradeoffs clearly in writing.

• Ability to review merge requests with a security-first mindset and improve solutions through feedback and iteration.

• Experience debugging production issues, including investigation of security-related behavior and proposing practical fixes.

• Openness to learning adjacent domains and tools, including Go, container security, and software supply chain security; we welcome transferable experience from different technical backgrounds.

About the Team

The Pipeline Security team builds features that make GitLab CI pipelines more secure and trustworthy for teams running sensitive workloads. We own key parts of pipeline security within GitLab's CI/CD experience, with our current focus on native secrets management for CI pipelines and Supply-chain Levels for Software Artifacts (SLSA) Level 3 capabilities to strengthen software supply chain security.

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You'll architect and implement infrastructure that powers our GraphQL-based federated query system for seamless data access across platforms including BigTable, BigQuery, and Solr+.

This is a unique opportunity to influence the technical direction of ZoomInfo's core data infrastructure, addressing complex challenges such as data freshness, multi-tenant isolation, and real-time data processing at scale.

Responsibilities:

• Design and build scalable infrastructure for GTM Store and ZDP with sub-second query latency.
• Architect and implement metadata-driven GraphQL APIs for dynamic schema generation and query federation.
• Develop asynchronous secondary indexing systems for scaling capacity and reducing primary data store load.
• Design real-time analytics streaming data pipelines from BigTable to BigQuery.
• Develop data mutation and deletion frameworks supporting GDPR compliance and schema evolution.
• Implement CDC pipelines and calculated field processing for derived data views.
• Build observability and monitoring solutions for real-time issue diagnosis across distributed data systems.
• Create batch and streaming data processing workflows for complex relationships at scale.
• Collaborate with engineering leaders and product managers to define the technical roadmap.
• Mentor engineers and establish best practices for cloud-native data infrastructure development.
• Partner with cross-functional teams to address data platform requirements and challenges.
• Drive solutions for data freshness, query performance, and system reliability challenges.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 10+ years of software engineering experience building large-scale data platforms.
• Expertise with distributed NoSQL databases and data warehousing systems.
• Strong experience with Java 8+, Scala, Kotlin, GoLang for data systems development.
• Proven experience with GCP or AWS and cloud-native architectures.
• Experience with streaming/real-time data processing technologies.
• Strong system design skills for architecting multi-tenant, distributed systems.
• Hands-on experience with Google Cloud Platform services.
• Knowledge of CDC patterns, event sourcing, and streaming architectures.
• Experience solving data freshness and consistency challenges in distributed systems.
• Background in building observability and monitoring solutions for data platforms.
• Familiarity with metadata management and schema evolution.
• Experience with Kubernetes for deploying data services.
• SQL query optimization and performance tuning expertise.
• Experience building GraphQL APIs with federated or metadata-driven schema generation.
• Strong problem-solving skills and the ability to debug complex distributed systems issues.
• Excellent communication skills for explaining technical decisions to diverse audiences.
• Self-directed with the ability to drive initiatives independently while collaborating with teams.
• Passion for building reliable, observable, and maintainable systems.
• Experience promoting diverse, inclusive work environments.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$163,800-$257,400 USD

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This is product work with direct customer impact. You'll contribute to features that support visibility into how AI agents and related tools are used, and you'll help lay the foundation for governance controls that enterprise customers rely on.

You'll join a small team with clear product direction, technical guidance from experienced backend engineers, and meaningful ownership from the start.

This role is well suited for an engineer with experience in backend development who writes solid tests and wants to grow by shipping real features in an evolving product area.

You'll work in GitLab's all-remote, asynchronous environment, collaborating across teams as the AI Governance roadmap continues to expand.

Responsibilities:

• Implement well-scoped backend features across the AI Governance product area, including event normalisation utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations, delivering production-ready work that ships on schedule.

• Build and maintain automated test coverage for your work using RSpec or equivalent tools to improve reliability and support safe, consistent releases.

• Grow your knowledge of AI governance, agent-related product architecture, and integration patterns through hands-on delivery and teamwork so you can contribute more effectively as the roadmap evolves.

• Work closely with senior and staff engineers to deliver solutions that are reliable, maintainable, and aligned with the product direction and release goals.

• Work asynchronously with cross-functional partners and nearby engineering teams working on related governance and AI capabilities to help maintain smooth delivery across teams.

• Take ownership of your scoped work and deliver with a high level of follow-through in a fast-moving product area, closing tasks with clear status updates and consistent execution.

Requirements:

• Demonstrated backend development experience building and shipping production features.

• Proficiency with Ruby on Rails and solid fundamentals in PostgreSQL.

• Experience building and maintaining automated test coverage with RSpec or an equivalent testing framework.

• Experience communicating clearly in writing with teammates in an async environment.

• Demonstrated ability to drive scoped work through completion and follow through on commitments.

• Experience with, or exposure to, audit event systems, telemetry pipelines, or compliance-focused tooling.

• Experience learning new technical domains and applying that understanding to product development.

• Additional experience with GraphQL APIs, event-driven architecture patterns, Python, or data-focused databases such as ClickHouse.

About the team:

You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organisations gain visibility into and govern AI usage inside GitLab.

Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements.

We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap.

You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform.

It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software.

For more on how related teams work, see Team Handbook Page.

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This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

As a Senior Backend Engineer, you will:

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.

• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.

• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.

• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.

• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.

• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.

• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.

• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.

• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.

• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.

• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.

• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.

• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

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This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Backend Engineering

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

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Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency.

About the Role You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.

• Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.

• Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.

• Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.

• Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.

• Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.

You might thrive in this role if you:

• Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).

• Experienced in building scalable, high-performance web applications for complex distributed systems.

• Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).

• Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.

• Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Bonus points if you:

• Have experience working with Kubernetes, Docker, and cloud-native application deployment.

• Understand AI/ML workload scheduling and orchestration challenges.

• Have experience with real-time data processing, visualization libraries, and observability tooling.

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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