ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

OUR VALUES

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.

ABOUT THE JOB

As a Software Engineering Manager, you will be a player-coach leading a high-caliber engineering team building advanced platforms. Depending on your area of ownership, you may lead one or more teams across domains including Control Plane (edge/cloud compute), Dev/Sec Ops, Data Platform & Governance, High Scale Event Processing (hundreds of billions of events per day), Mobile Platforms, SRE & Operations, or Radar Platform (our core web/cloud customer experience). You will be technically hands-on in delivery while setting strategic direction, growing engineers, and collaborating cross-functionally with stakeholders and partner teams.

The best engineering managers here are strong engineers first. You'll be expected to contribute meaningfully to design, review code, and engage deeply with technical problems, not just manage the process around them. We move fast, and you've done it before. You know how to maintain a high quality bar without sacrificing velocity, and you bring the judgment to know when to push and when to slow down just enough to get it right.

Responsibilities:

• Lead, mentor, and grow a team of talented engineers; own performance management, career development, and a strong team culture.
• Set technical direction, support architecture decisions, and champion engineering best practices across your team and peers.
• Contribute directly to solution design and technical reviews; maintain a strong, credible technical presence.
• Manage agile processes, execution priorities, and on-time delivery of high-quality solutions.
• Collaborate with Engineering, Product, and UX stakeholders to define project plans and ensure requirements are understood, met, and well-documented.
• Identify, communicate, and drive resolution for technical and organizational risks.
• Foster a culture of security, quality, operational accountability, and continuous improvement.
• Support hiring and help grow the broader engineering organization.

ABOUT YOU

Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of software engineering experience, including at least 2 years managing engineering teams of 5 or more direct reports.
• Proven ability to remain technically hands-on: contributing to design, architecture, and code review as a practicing engineer, not just an overseer.
• Demonstrated experience building, deploying, and operating complex distributed systems.
• Proficiency in at least one core language: Java, Python, C++, or Go.
• Solid foundation in systems or cloud architecture, DevOps/SecOps practices, automation, and CI/CD pipelines.
• Excellent communication, organizational, and people leadership skills.
• Commitment to engineering best practices: code quality, testing, and operational stability.
• Demonstrated ability to move fast and deliver in a startup or high-growth environment without compromising quality.

Preferred:

• Prior experience leading teams in one or more domains: Control Plane, Dev/Sec Ops, Data Platform, High Scale Event Processing, Mobile Platforms, SRE, or Radar Platform.
• Experience guiding teams through growth, change, and cross-functional collaboration.
• Familiarity with cloud platforms (AWS, GCP, Azure), container orchestration, or real-time data processing.
• Passion for mentoring, technical empowerment, and building inclusive engineering culture.

WHAT YOU'LL DO

In your first 30 days, you will:

• Meet every direct report 1:1 and begin building trust and rapport.
• Shadow team rituals: standups, planning, retros, design reviews.
• Map the systems your team owns: architecture, dependencies, operational health.
• Meet key cross-functional partners: product, design, peer engineering teams.
• Identify any immediate fires or risks that need attention before deeper learning is complete.

In your first 60 days, you will:

• Establish a consistent 1:1 cadence and begin individual development conversations.
• Actively participate in design and architecture discussions; contribute to code and technical reviews.
• Clarify team goals, priorities, and near-term delivery commitments.
• Identify process or quality gaps and begin forming a point of view on how to address them.
• Deliver or unblock at least one meaningful piece of work alongside your team.

In your first 90 days, you will:

• Present an initial team roadmap or priority framework to your manager and stakeholders.
• Have a clear development plan in place for each direct report.
• Be actively driving execution: unblocking the team, removing friction, and holding a high bar.
• Own at least one cross-functional initiative or decision end-to-end.
• Have a concrete plan to improve one dimension of team health: quality, velocity, culture, or process.

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $250,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Available Locations: Seattle, WA

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263064630

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes. 

You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.

Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.

WHAT YOU’LL DO

• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 5 years of operations and engineering experience
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.

This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.

In this role you will

• Guide the approach and execution of the Client Platform Engineering Team
• Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
• Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
• Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
• Participate in the Enterprise SRE 24/7 on-call rotation

Required qualifications

• Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
• Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
• Experience with MacOS, Windows, and Linux system administration.
• Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
• Experience with automation and tool development, preferably using Powershell, Go, or Python.
• Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
• Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
• Outstanding written and verbal communication skills that drive executional impact at scale. 
• Experience with automating testing for imaging, provisioning, and configuration management.

Desirable qualifications

• Experience working within cloud environments such as AWS, GCP, or Azure.
• Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
• Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation

The base salary range for this position is  $181,000 - $262,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.  As a Senior Site Reliability Engineer, you’ll work to: 

• Build and scale our internal  platform offerings (compute, storage and networking services) to ensure the reliability, and performance of our applications.
• Design and implement monitoring, alerting, and incident response systems.
• Collaborate with application software engineers (as needed) to guide their design and ensure it scales for what Carta needs in the long run.
• Act as an agent of change and push boundaries to incrementally improve our systems as we expand globally.

The Team You'll Work With

You’ll be joining the Infrastructure Engineering team at Carta. The Infrastructure Engineering team is responsible for providing secure, reliable, scalable and performant infrastructure to Carta’s customers and developers.

We are Software and Infrastructure Engineers who specialize in cloud computing, networking, systems design and architecture, storage, real time data telemetry, associated automation, tooling and processes. We possess a breadth and depth of knowledge about Carta’s infrastructure and industry wide best practices, that translates into leverage for Carta’s business.

About You

You are excited by the idea of developing scalable, reliable and efficient infrastructure that powers the entire company. We’re looking for strong communicators who enjoy collaborating to solve complex problems. Familiarity with infrastructure best practices on performance, reliability and security and their associated tools is appreciated. 

Our stack is Python, Java, Terraform, gRPC, Docker, Kubernetes, Postgres, running on AWS. Come join us! 

• Cloud Platforms: Extensive experience with cloud services such as AWS, Google Cloud Platform, or Azure, including services like EC2, S3, RDS, and Lambda. Experience with Kubernetes or other container orchestration is preferred!
• Infrastructure as Code (IaC): Proficient in using tools such as Terraform, Ansible, or CloudFormation for managing and provisioning cloud infrastructure.
• Networking: Experience with networking concepts and tools, including Container Network Interface (CNI), Network policy implementations. Experience with proxies and service mesh is a big plus. 
• Monitoring and Observability: Strong knowledge of monitoring tools and practices, such as Prometheus, Grafana, ELK Stack, or Datadog, and the ability to set up and maintain comprehensive monitoring solutions.
• Software Development: Proficiency in Python, with the ability to write efficient, maintainable, and scalable code.
• API Services: Experience in designing, deploying, and maintaining API services, with a strong understanding of RESTful and/or GraphQL API design principles.
• AI Fluency: You use AI tools in your own day-to-day work in addition to enabling others. You're comfortable building agents to reduce toil and expect this to be a normal part of how you operate.
• Experience operating CI/CD and its associated best practices is also appreciated though not essential.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $181,688 - $213,750 in Seattle, WA
• $191,250 - $225,000 in Santa Clara, CA  or San Francisco, CA

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

ABOUT THE TEAM
Anduril Software Engineers in the Connected Warfare (CW) Division build, deploy, integrate, extend, and scale Anduril's software on hardware systems to deliver mission-critical capabilities to our customers at the tactical edge. As the software engineers closest to customers/end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities.

As a Senior Software Engineer on the ECC Engineering team, you will contribute to the creation of new products, features, and solutions to address a wide variety of customer problems involving software, hardware, networking, autonomy/robotics, systems integration, and more. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and methodical way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality. You will work on products like the Menace Family of Systems to bring integrated C4 capabilities to the tactical edge.

We are working on cutting edge, complex systems that must deliver critical capability on aggressive timelines to outmatch the pacing threats and empower our customers with commercial style technologies that they can immediately use for defense. We are looking for talented, organized, growth mindset, Software Engineers who appreciate ownership, autonomy, and direct customer engagement when designing, architecting, building and collaborating with our software, hardware, operations, SRE, and business development teams to exceed customer expectations and bring new products and capabilities to market.

WHAT YOU’LL DO

• You will work closely with Product Managers, Business Development, and other engineering teams (internal and external), executing on our SDLC process from concept, development, production and fielding.
• Own areas of the ECC software solution that are deployed to customers
• Build scalable systems
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world
• Brief executives (internal and external) and high ranking officials

REQUIRED QUALIFICATIONS 

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 4+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience working with Linux and/or Nix/NixOS.
• Experience building software solutions involving hardware integrations
• Experience building scalable solutions on edge infrastructure
• Ability to quickly understand and navigate complex systems and established code bases
• Passionate about working on critical software that has a real-world impact
• Be data driven and customer outcomes focused
• Experience using AGILE methodologies and execution

PREFERRED QUALIFICATIONS (No minimum requirements, maximum ~5-6 bullet points)

• Computer Science or Computer Engineering or equivalent degrees
• Prior military service/contractor experience working with edge computing and tactical networking
• Experience at technology startups
• TS/SCI active or eligible

ABOUT THE TEAM

A Connected Warfare SRE - System Deployment deploys and maintains Anduril’s hardware and software to deliver mission critical capabilities to our customers. System Deployment Engineers work in complex environments with shared environmental responsibility with our customers. They navigate the ambiguous landscape with efficiency to deliver the right customer outcomes. 

WHAT YOU’LL DO

• Enable network expansion through installation of both hardware and software in support of Anduril customer missions
• Troubleshoot complex installation issues, driving short term resolution and identifying long term solutions
• Be familiar with Anduril system capabilities as a data and applications platform and be able to educate customers
• Participate in customer demonstrations and exercises
• Work with site reliability engineers to provide and refine requirements for tooling and systems to support customer outcomes
• Work with mission software engineers to ensure supportability of custom system integrations
• Identify and document opportunities for system improvements

REQUIRED QUALIFICATIONS:

• Active US TS security clearance with SCI eligibility
• STEM degree or equivalent technical experience
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Willingness to travel 40%-50%
• Minimum 4 years of operations and engineering experience

PREFERRED QUALIFICATIONS

• Comfort with operating independently in isolated, austere, and dynamic environments while being the sole representative of Anduril
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across network enclaves
• Extensive hands-on field operations and systems administration experience
• Administration experience in networking, storage, and operating systems
• Demonstrated ability to solve problems in ambiguous environments to enable customer mission success
• Experience working with cross-functional engineering teams and external customers
• Experience performing data-driven root cause analysis on complex systems
• Excellent written and verbal communication skills
• Hold a DoD 8570 IAT Level 2+ certification
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, hardware design, and/or cybersecurity

ABOUT THE TEAM

A Connected Warfare SRE - System Deployment deploys and maintains Anduril’s hardware and software to deliver mission critical capabilities to our customers. System Deployment Engineers work in complex environments with shared environmental responsibility with our customers. They navigate the ambiguous landscape with efficiency to deliver the right customer outcomes. 

WHAT YOU’LL DO

• Enable network expansion through installation of both hardware and software in support of Anduril customer missions
• Troubleshoot complex installation issues, driving short term resolution and identifying long term solutions
• Be familiar with Anduril system capabilities as a data and applications platform and be able to educate customers
• Participate in customer demonstrations and exercises
• Work with site reliability engineers to provide and refine requirements for tooling and systems to support customer outcomes
• Work with mission software engineers to ensure supportability of custom system integrations
• Identify and document opportunities for system improvements

REQUIRED QUALIFICATIONS:

• Active US TS security clearance with SCI eligibility
• STEM degree or equivalent technical experience
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Willingness to travel 40%-50%
• Minimum 4 years of operations and engineering experience

PREFERRED QUALIFICATIONS

• Comfort with operating independently in isolated, austere, and dynamic environments while being the sole representative of Anduril
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across network enclaves
• Extensive hands-on field operations and systems administration experience
• Administration experience in networking, storage, and operating systems
• Demonstrated ability to solve problems in ambiguous environments to enable customer mission success
• Experience working with cross-functional engineering teams and external customers
• Experience performing data-driven root cause analysis on complex systems
• Excellent written and verbal communication skills
• Hold a DoD 8570 IAT Level 2+ certification
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, hardware design, and/or cybersecurity

ABOUT THE TEAM

If you are an experienced SRE who is passionate about building the platform that delivers capabilities to directly improve the experience of the warfighter, this is the job for you. 

Site Reliability Engineers (SRE) work with technical leaders and System Deployment Engineers to determine technical direction and deliver with thorough analysis, designs and code. They are comfortable leading small, focused projects as well as making major contributions to it. They deliver tools, features and enable the deployment engineers to execute efficiently. 

WHAT YOU’LL DO

• Develop solutions to support deployment engineers in new and existing markets that enable Anduril to efficiently deliver war fighting capabilities
• Collaborate with multi-disciplined teams to define and execute integration strategies that support deployment engineer needs
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems
• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

REQUIRED QUALIFICATIONS

• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 7 years of operations and engineering experience

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

ABOUT THE TEAM

The Production Engineering team is a newly formed organization within Anduril's Software Platform, dedicated to ensuring the reliability, performance, and scalability of mission-critical systems that directly support our warfighters in the field. We solve complex reliability challenges at massive scale, ensuring that critical components of Lattice—Anduril's autonomous command and control platform—operates flawlessly in the most demanding operational environments.

This is a foundational role and you will be among the first hires building this team from the ground up. You'll have the unique opportunity to shape the technical direction, establish best practices, and define what production engineering excellence means at Anduril. Our team operates at the intersection of software engineering and systems reliability, building the infrastructure, tooling, and processes that keep our systems operational 24/7/365.

ABOUT THE ROLE

We are seeking an experienced Senior Site Reliability Engineer who is passionate about building resilient, highly available systems that scale to meet the demands of the core systems powering Lattice. You will work closely with platform engineering teams, product developers, and field operations to proactively identify reliability risks, implement defensive strategies, and continuously improve the operational excellence of our software platform. If you thrive on solving hard problems at scale and want your work to have direct impact on national security, this is the role for you.

WHAT YOU’LL DO

• Design and implement comprehensive monitoring, observability, and alerting systems to ensure early detection of reliability issues across the Lattice platform
• Drive incident response and conduct blameless postmortems to identify systemic improvements and prevent recurrence of production issues
• Build and maintain infrastructure automation using tools like Terraform, Kubernetes operators, and custom tooling to manage large-scale distributed systems
• Establish and track Service Level Objectives (SLOs) and Error Budgets to balance feature velocity with system reliability
• Partner with software engineering teams to improve system architecture for reliability, implementing patterns like circuit breakers, graceful degradation, and chaos engineering
• Develop capacity planning models and performance testing frameworks to ensure systems can handle growth and peak operational demands
• Create runbooks, documentation, and training materials to enable teams to operate production systems effectively
• Lead cross-functional efforts to improve deployment safety through progressive rollouts, automated testing, and rollback capabilities
• Implement security best practices and compliance controls for production environments handling sensitive defense data
• Build tooling and automation to reduce toil and improve operational efficiency for the engineering organization
• Participate in on-call rotations and serve as an escalation point for critical production incidents

REQUIRED QUALIFICATIONS

• 7+ years of engineering experience with at least 3+ years focused on SRE, production operations, or infrastructure engineering
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Deep expertise with Kubernetes in production environments, including operational challenges at scale (100+ nodes)
• Strong programming skills in one or more languages such as Go, Python, Rust, or Java with ability to build production-grade tooling
• Proven experience designing and implementing observability stacks (metrics, logging, tracing) using tools like Prometheus, Grafana, ELK/EFK, or equivalent
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure as code practices
• Demonstrated ability to debug complex distributed systems issues across multiple layers of the stack
• Track record of improving system reliability through architectural changes, not just operational band-aids
• Strong incident management and communication skills, with experience leading responses to critical outages
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with defense, aerospace, or other mission-critical systems where downtime has severe consequences
• Expertise in performance optimization and capacity planning for high-throughput, low-latency systems
• Knowledge of chaos engineering principles and experience implementing resilience testing frameworks
• Experience with service mesh technologies (Istio, Linkerd) and advanced traffic management patterns
• Background in database operations and optimization (PostgreSQL, Cassandra, or similar at scale)
• Familiarity with CI/CD platforms and deployment automation (ArgoCD, FluxCD, Spinnaker, Jenkins)
• Understanding of networking fundamentals including load balancing, DNS, TLS/SSL, and network security
• Experience with configuration management and secrets management solutions (Vault, Sealed Secrets, SOPS)
• Strong written and verbal communication skills with ability to explain technical concepts to non-technical stakeholders
• Active Secret or higher security clearance

ABOUT THE TEAM:

The Corporate Technology Engineering team is responsible for building and improving the many systems that enables Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, engineering, modeling & simulation, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by our team. We work across the company to ensure we have the tools and capabilities necessary for mission success.

ABOUT THE JOB:

We’re seeking a highly motivated Senior Software Engineer to join a fast-paced team dedicated to the continued development of Forge. Forge integrates various internal systems to ensure the right data is in the right place at the right time, driving our production lines efficiently. You will collaborate with a talented team of engineers, product managers, and other cross-functional teams to build and enhance this critical system. 

To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

WHAT YOU'LL DO

• Work in a mini-startup environment to create elegant SaaS solutions that integrates effectively with on-premise systems
• Work with a high-functioning team of developers with an emphasis on finishing business-critical projects
• Write high-quality code that enhances the performance, scalability, and reliability of the Forge platform
• Engage in code reviews, architectural discussions, and continuous improvement initiatives
• Provide technical support for Forge users and troubleshoot issues as they arise
• Have an area of deep expertise in a portion of the full stack (i.e. backend, frontend, integration)

REQUIRED QUALIFICATIONS

• Willingness to work with the team on-site on a rotation for shift 2 (~3pm - 11pm)
• 5+ years of experience in a software engineering role building products, ideally in a fast-paced environment
• Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree
• Experience working with large enterprise applications and platforms with high availability requirements
• Proficiency with web-based technologies such as Javascript, React, Typescript, and web frameworks such as Remix or NextJS
• Ability to empathize with end-users, to turn needs into features, and to balance user experience with engineering constraints
• U.S. Person status is required as this position needs to access export controlled data
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with AWS, Typescript, and React/Remix
• Experience/knowledge with eventing systems and large data streaming for test automation
• Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes
• A background in scaled manufacturing environments
• Previous experience with supply chain, manufacturing, or related enterprise software is a plus

JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

Team Overview:

The Senior Product Compliance Engineer will join our Product Realization Engineering team, a group dedicated to bringing innovative RFID products from concept to market. This team works closely with all engineering groups at Impinj and plays a critical role in ensuring product quality, compliance, and readiness for global launch.

As part of this team, you’ll collaborate across multiple functions—hardware, software, manufacturing, and operations—while managing diverse responsibilities that range from regulatory compliance to supporting New Product Introduction (NPI) activities with our contract manufacturing partners. The work is dynamic and varied, requiring strong attention to detail, excellent communication skills, and the ability to adapt to different technical and process challenges.

If you enjoy working in a highly collaborative environment and thrive on solving complex problems that span multiple specialties, this team is the perfect fit.

What You Will Do:

• Lead radio, safety, and environmental regulatory certifications for Impinj Reader and Gateway products
• Stay ahead of changing regulations and certification requirements; advise engineering and product management teams on compliance needs for new and existing products
• Lead the end-to-end process for product safety and reliability testing, including managing vendor quotes, scheduling, providing samples, and ensuring timely completion
• Own radio performance and safety testing for products in collaboration with third-party labs
• Arrange product reliability evaluations using internal and external testing resources
• Support the release of new hardware revisions to manufacturing by providing accurate documentation, such as drawings and BOMs
• Maintain revision control and handle the change management of product documents required for manufacturing
• Proactively seek clarification and raise critical issues to senior engineers or management as needed

What You Will Bring:

• A Bachelor's degree in Electrical Engineering, mechanical Engineering, Physics, or related technical field
• Minimum 8 years of experience in development, support, or manufacturing of electronic products
• Minimum 3 years of direct experience with radio regulatory compliance
• Expertise in managing the full documentation lifecycle for manufacturing and product development, including updates and revision control
• Ability to produce clear, accurate documentation and communicate effectively with cross-functional teams
• Proven ability to interpret complex regulatory requirements and apply them to products
• Exceptional attention to detail when reviewing and approving test reports
• Competence in planning and preparing annual budgets related to compliance and certifications

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $111,200 - $166,800. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

Senior Full-Stack Engineer II - AI/MLDo the best work of your career at DigitalOcean. Join a high‐caliber community building the simplest, most scalable cloud on the market. If you think big, move fast, and thrive in a bold, high‐growth environment, you’ll fit right in. We win together—learning, having fun, and delivering real impact for the dreamers and builders we serve.We’re hiring a Senior Full-Stack Engineer to build end‐to‐end features that make accelerated compute simple and accessible for everyone.The AI Application Platform team builds AI and agentic applications across modalities—LLMs, images, audio, and video—on top of DigitalOcean’s high‐performance inference engine. Our mission is to keep the latest state‐of‐the‐art models available at peak performance. We’re moving fast to build the next generation of AI applications and platform workflows at DigitalOcean.

What You’ll Be Doing:

• Own a technical area by providing technical leadership for a teamDrive large cross-functional projects independently to completion
• Work primarily in Python, and Go to build and scale AI application services such as ADK, agentic tools
• Maintain and develop APIs, MCPs and SDKs
• Collaborate on design and UXBuild and scale products to achieve operational excellenceIndependently ship product features from planning to launch to maintenance with high autonomy
• Partner with SRE/DevOps on reliability, observability, incident response, and deployment workflows
• Collaborate with other engineers to find elegant architectures and solutions

What You’ll Add to DigitalOcean:

• Own a technical area by providing technical leadership for a team
• Experience with ML platforms, AI techniques (e.g., LLMs, multimodal, large vision models) or with genAI-related concepts (e.g., evaluations, tracing, insights, language modeling, computer vision)
• Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling production-grade systems
• Demonstrated design and UX sensibilities, especially for technical teamsKnowledge of API standards including REST, Python, or GoDesign of cloud ready systems and architectures.

Compensation Range: 

• $184,000 - $231,000

*This is a hybrid role

JR: 2026-7617

#LI-Hybrid

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

About the Role

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. 

Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
• Design and implement monitoring and observability systems across the token path
• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider
• Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
• Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.

You may be a good fit if you:

• Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs
• Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet
• Think holistically about how systems compose and where the seams are
• Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions
• Care about users and feel ownership over outcomes, even for systems you don't own
• Have excellent communication and collaboration skills -- you'll be partnering across the entire company
• Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.

Strong candidates may also:

• Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs)
• Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium)
• Understand ML-specific networking optimizations like RDMA and InfiniBand
• Have expertise in AI-specific observability tools and frameworks
• Have experience with chaos engineering and systematic resilience testing
• Have contributed to open-source infrastructure or ML tooling.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions — not someday, but now — this is the role.

What you'll do

• Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows
• Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups
• Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability
• Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback
• Own production reliability for the systems you build — monitoring, alerting, and iterating on AI outputs to maintain quality over time
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities
• Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture

What we're looking for

• 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production
• Strong Python skills — you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services
• Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use)
• Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred)
• Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred)
• A strong instinct for product quality — you care about whether the tools you build are actually useful, not just technically functional
• Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection

While not required, these are a plus:

• Experience with vector databases, embeddings, or semantic search is a plus

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

The Allen Institute for AI (Ai2) is hiring a Senior Platform Engineer to build the foundational architecture behind AI research agents that explore and reason over scholarly literature. You'll design the systems that define how agents, tools, and services interact, creating SDKs, APIs, and execution frameworks that enable researchers to build, evaluate, and scale intelligent systems. You'll contribute to the agent architecture, build infrastructure for sandboxed execution and benchmarking, and create evaluation frameworks that measure component  performance. You're a seasoned engineer who thrives in greenfield environments, excels at building robust developer-facing infrastructure, and is energized by making complex distributed systems feel simple.

Who We Are: 

The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
• Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
• Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment
• Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion

What You’ll Need:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
• Strong Python engineering skills, with experience building production services and developer-facing tools
• Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation
• Solid understanding of integrating AI-powered capabilities into applications, including agent workflows, memory management, and external tool integrations
• Experience with analytics and observability tools like Datadog or similar for monitoring performance, system health, and reliability
• Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of
• Strong communication skills and a sense of ownership for results 

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

You are a seasoned full-stack engineer who thrives in greenfield environments where you have broad scope and the  opportunity to wear multiple hats. You excel in building impactful, AI-powered solutions and take pride in delivering intuitive, high-performance user experiences. In this role, you'll work closely with UX designers, AI/ML experts, and research scientists, both internally and at partner institutions, to create seamless interfaces that empower users to  interact effectively with our AI systems. You're energized by the opportunity to collaborate directly with researchers  to translate their needs into production applications that advance real scientific discovery.

Who We Are: 

The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Work closely with UX designers, product managers, and research scientists to develop rich UI experiences using React and robust backend services in Python
• Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results
• Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
• Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
• Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion
• Mentor less-senior engineers on the team in both technical and non-technical skills

What You’ll Need:

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
• Professional experience with web development using JavaScript, HTML, and CSS
• Strong Python engineering skills
• Proficiency with front-end frameworks such as React
• Experience with AWS, Google Cloud, or similar cloud platforms
• Experience with analytics and observability tools like Heap, Datadog, or similar for monitoring performance, system health, and user interactions
• Solid understanding of integrating AI-powered capabilities into applications, including prompt engineering, memory management, agent workflows, and external tool integrations
• Strong communication skills and a sense of ownership for results

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits:  

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Team Overview

The Senior Network Engineer role is responsible for the architecture, engineering, implementation, and operational excellence of the company’s enterprise network spanning corporate offices, data centers, cloud environments, and remote users. This role leads complex network initiatives, drives standardization and automation, partners closely with Information Security and Enterprise Applications, and delivers senior-level escalation support.This role requires proven expertise in enterprise routing/switching, next-generation firewalls, SD-WAN, wireless, and network observability, and is comfortable balancing strategic roadmaps with hands-on delivery. What you will do:

Network Architecture & Engineering

• Own the technical build and evolution of enterprise LAN/WAN/WLAN and cloud connectivity solutions
• Lead the development of network standards, reference architectures, and configuration baselines
• Design resilient, scalable networks supporting business-critical applications and global site growth

 Operations & Reliability

• Provide support for critical issues involving complex network-related incidents and chronic problems
• Drive root cause analysis and corrective/preventive actions to improve availability and performance
• Maintain comprehensive documentation, including diagrams, runbooks, and knowledge base articles

 Security & Compliance

• Implement, maintain and support secure network segmentation, Zero Trust-aligned access controls, secure remote access and policy enforcement
• Partner with InfoSec on audits, risk remediation, and incident response
• Ensure networks meet regulatory and corporate governance requirements

 Cloud & Hybrid Connectivity

• Architect and maintain connectivity to cloud platforms (e.g., Azure, AWS) including VPN/ExpressRoute/Direct Connect, transit architectures, and firewall integration
• Support hybrid identity-aware networking and modern SaaS traffic optimization

 Automation & Tooling

• Improve engineering velocity and configuration consistency using automation (e.g., Infrastructure as Code, scripting, APIs)
• Establish repeatable deployment patterns and reduce manual operational toil
• Enhance network observability using modern telemetry and analytics

 Project Leadership & Cross-Functional Partnership

• Lead or co-lead multi-site upgrades, office openings/relocations, and major lifecycle refreshes
• Work with multi-functional teams to gather and translate business requirements into technical solutions, ensuring clear communication and alignment across collaborators
• Mentor engineers and contribute to team capability development

 What you will bring:

• 8+ years of dynamic experience in enterprise network engineering
• Demonstrated expertise in:
• Routing and switching (BGP, OSPF, EIGRP or equivalent)
• Enterprise wireless design and troubleshooting
• Next-generation firewalls and network security fundamentals
• Network resiliency and high availability patterns
• Strong troubleshooting capability across layers 2–7
• Experience with one or more of: SD-WAN, SASE, Zero Trust networking
• Cloud networking experience in Azure and/or AWS

Compensation and Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj.

The typical base pay range for this role is $131,200- $196,800. Individual base pay depends on various factors such as complexity and responsibility of the role, job duties, requirements and relevant experience and skills. Impinj reviews market wage data and uses the midpoint of the pay range as the starting point for offers. Impinj makes offers within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonuses and stock. These awards are allocated based on individual performance. In addition, certain roles have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits, a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here.

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

As a full time Assistant Teacher (Float) at Bezos Academy (internally titled Assistant Teacher I), you share our passion for early childhood education and commitment to creating nurturing, high-quality learning environments for all children. While exact responsibilities will vary from school to school, you may assist in classrooms, serve and supervise mealtimes, and support the overall operations of the school. Drawing on your organizational skills, professionalism, and commitment to children, you will support high quality, tuition-free, Montessori-inspired programs that enable every child to thrive in our growing network of preschools in under-resourced communities.

LOCATION

We are actively hiring for Assistant Teachers (Float) to support our preschool in Federal Way - Lakeland (3600 S 344th Way, Federal Way, WA 98001) with an expected start date of August 2026.

SCHEDULES, BENEFITS, AND COMPENSATION

• School schedules vary depending on community needs but generally range from 8am-5:30pm, with teachers staggered across these hours with varying start and end times totaling no more than 8 hours per day. Your specific schedule will be determined with your school leader when considering all staff, classroom, and community needs.
• This is a full time (40 hours per week), non-exempt/hourly position.
• This role includes 32 days of scheduled breaks, 3 days of paid personal time off, 9 paid days of care (sick) time, 10 paid holidays, and additional time off if required by applicable law. Benefits for this role include medical, dental, and vision insurance, life insurance, disability insurance, a 401(k) plan with a 4% employer contribution match, an employer-matched flexible spending account for dependent care, and more. Please see here for details. 
• The full compensation range for this position is $26-$29 per hour. The starting pay for all new employees is $26 per hour.

MINIMUM QUALIFICATIONS

• Age 18 with high school diploma or GED  
• Ability to pass background checks, clear tuberculosis screenings, and (upon hire) successfully complete trainings required by the state of Washington to supervise children independently
• Ability to independently supervise, communicate effectively with, and care for young children safely, including ability to lift a minimum of 40 lbs
• Access to reliable transportation to and from work and ability to consistently attend work as scheduled to ensure proper staff-to-child classroom ratios and support smooth school operations
• Must have a valid Food Handler’s Permit or be willing to obtain one upon hire
• Ability to complete 20 hours of onboarding by your seventh day of employment

PREFERRED QUALIFICATIONS 

• Prior experience supporting or teaching children ages 3–5 in a Montessori or early childhood classroom setting
• Experience working effectively across lines of difference and fostering an inclusive, welcoming environment for all children and families
• Strong communication and organizational skills, with the ability to manage daily operational tasks such as classroom setup, safety checks, and basic clerical responsibilities
• Demonstrated reliability and flexibility in supporting school operations, including meal service, playground supervision, assisting with classroom coverage as needed, and lead after-school activities 

RESPONSIBILITIES 

*NOTE: The combination of responsibilities may vary based on the needs of the school site, students, and prior experiences of the Assistant Teacher.

Instructional

• Serve as a floating assistant teacher, providing support wherever and however the school most needs it each day
• As needed, independently supervise children throughout the day in classrooms and a variety of other situations, including but not limited to arrival/departure, transitions, outside time, rest/nap time, and (if offered) extended hours
• Assist in maintaining accurate child and family records
• Complete Montessori basics training and credentialing/licensing requirements within seven days of hire

Operational

• Support Bezos Academy classrooms by following regulations and guidelines in the day-to-day operation of the classroom and school (e.g. cleaning/preparing materials, meal prep and cleanup, nap time transitions, laundry, bathroom supervision, etc.)
• Support school leadership and teachers to foster a nurturing, safe, and stimulating, non-competitive school environment
• Support children’s increasing independence with daily living skills (i.e., washing hands, using the bathroom, eating meals and snacks, cleaning up, etc.)
• Maintain licensing and credentialing requirements and complete required ongoing professional development trainings in a timely manner
• Attend staff meetings and family events as schedule allows
• Assume postures at low levels (e.g., kneeling, stooping, bending, and sitting on the floor) as needed to communicate effectively with children
• Provide support to nearby Bezos Academy schools, as needed, at the direction of your Head of School or District School Leader

Other

• Attend staff meetings and family events as schedule allows

Bezos Academy is an Equal Opportunity Employer. All applicants receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

As a part-time Assistant Teacher (Float) at Bezos Academy (internally titled Assistant Teacher I), you share our passion for early childhood education and commitment to creating nurturing, high-quality learning environments for all children. While exact responsibilities will vary from school to school, you may assist in classrooms, serve and supervise mealtimes, and support the overall operations of the school. Drawing on your organizational skills, professionalism, and commitment to children, you will support high quality, tuition-free, Montessori-inspired programs that enable every child to thrive in our growing network of preschools in under-resourced communities.

LOCATION

We are actively hiring for part-time Assistant Teachers (Float) to support our preschools in the Seattle-Tacoma metro area with an expected start date of August 2026: 

• Des Moines (824 S 216th St, Des Moines, WA 98198) 
• Tacoma – Hilltop (2141 S J St, Tacoma, WA 98405) 
• Federal Way – Lakeland (3600 S 344th Way, Federal Way, WA 98001) 
• Renton – North Highlands (3000 NE 16th Street, Renton, WA 98056) 
• Kent Valley (317 4th Ave S, Kent, WA 98032) 

SCHEDULES, BENEFITS, AND COMPENSATION

• This is a part-time, non-exempt/hourly position requiring a minimum of 15-25 hours per week, with occasional opportunities to work additional hours based on school needs.  
• You will work a regular set shift, Monday through Friday, totaling 15-25 hours per week. Specific school schedules are determined by school leaders when considering all staff, classroom, and community needs. Please indicate which shift(s) you are interested in on your application. 
  • Des Moines: 20 hours per week (expected daily shift 12:00pm-4:00pm) 
  • Tacoma – Hilltop: 20 hours per week (expected daily shift 9:00am-1:00pm); 15 hours per week (expected daily shift 1:00pm-4:00pm) 
  • Federal Way – Lakeland: 20 hours per week (expected daily shifts 9:30am-1:30pm or 11:00am-3:00pm) 
  • Renton - North Highlands: 25 hours per week (expected daily shifts 8:30am-1:30pm, 10:00am-3:00pm, or 11:00am-4:00pm) 
  • Kent Valley: 25 hours per week (expected daily shifts 8:30am-1:30pm, 9:00am-2:00pm, or 10:30am-3:30pm) 
• This role includes paid care (sick) time, accrued based on hours worked, and a 401(k) plan with a 4% employer contribution match. 
• The full compensation range for this position is $26-$29 per hour. The starting pay for all new employees is $26 per hour. 

MINIMUM QUALIFICATIONS

• Age 18 with high school diploma or GED  
• Ability to pass background checks, clear tuberculosis screenings, and (upon hire) successfully complete trainings required by the state of Washington to supervise children independently
• Ability to independently supervise, communicate effectively with, and care for young children safely, including ability to lift a minimum of 40 lbs
• Access to reliable transportation to and from work and ability to consistently attend work as scheduled to ensure proper staff-to-child classroom ratios and support smooth school operations
• Must have a valid Food Handler’s Permit or be willing to obtain one upon hire
• Ability to complete 20 hours of onboarding by your seventh day of employment

PREFERRED QUALIFICATIONS 

• Prior experience supporting or teaching children ages 3–5 in a Montessori or early childhood classroom setting
• Experience working effectively across lines of difference and fostering an inclusive, welcoming environment for all children and families
• Strong communication and organizational skills, with the ability to manage daily operational tasks such as classroom setup, safety checks, and basic clerical responsibilities
• Demonstrated reliability and flexibility in supporting school operations, including meal service, playground supervision, assisting with classroom coverage as needed, and lead after-school activities 

RESPONSIBILITIES 

*NOTE: The combination of responsibilities may vary based on the needs of the school site, students, and prior experiences of the Assistant Teacher.

Instructional

• Serve as a floating assistant teacher, providing support wherever and however the school most needs it each day
• As needed, independently supervise children throughout the day in classrooms and a variety of other situations, including but not limited to arrival/departure, transitions, outside time, rest/nap time, and (if offered) extended hours
• Assist in maintaining accurate child and family records
• Complete Montessori basics training and credentialing/licensing requirements within seven days of hire

Operational

• Support Bezos Academy classrooms by following regulations and guidelines in the day-to-day operation of the classroom and school (e.g. cleaning/preparing materials, meal prep and cleanup, nap time transitions, laundry, bathroom supervision, etc.)
• Support school leadership and teachers to foster a nurturing, safe, and stimulating, non-competitive school environment
• Support children’s increasing independence with daily living skills (i.e., washing hands, using the bathroom, eating meals and snacks, cleaning up, etc.)
• Maintain licensing and credentialing requirements and complete required ongoing professional development trainings in a timely manner
• Attend staff meetings and family events as schedule allows
• Assume postures at low levels (e.g., kneeling, stooping, bending, and sitting on the floor) as needed to communicate effectively with children
• Provide support to nearby Bezos Academy schools, as needed, at the direction of your Head of School or District School Leader

Other

• Attend staff meetings and family events as schedule allows

Bezos Academy is an Equal Opportunity Employer. All applicants receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Bezos Academy participates in E-Verify and will provide the federal government with employee Form I-9 Information to confirm authorization to work in the U.S. Bezos Academy only uses E-Verify once a candidate has accepted a job offer and completed the Form I-9. If E-Verify cannot confirm that an employee is authorized to work, Bezos Academy will give the employee written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so the employee can begin to resolve the issue before any adverse employment action is taken. For more information about your right to work, please see the Notice of Right to Work.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Manager of Machine Learning Engineering within the Advanced Technologies Group to lead the technical vision and execution of our foundational systems that power our next generation of AI. You will oversee 4 critical pillars within the Machine Learning org:data engineering, annotation pipelines, ML Infrastructure and Deployment of Agentic AI solutions. You are a hands-on, senior technical leader with a broad dynamic range, capable of providing high-level strategic direction while remaining technically proficient enough to dive into the weeds with your team. Your mission is to transition state-of-art models into robust, autonomous production systems that automate complex enterprise workflows.You will partner closely with internal engineering teams and external vendors to build the scalable tools and data pipelines that define the future of recognition economy.

What you'll do

• Build and maintain scalable, compliant and auditable data infrastructure to serve computer vision and AI pricing use cases 
• Build scalable data engineering pipelines and automated annotation workflows (LLM-in-the-loop) to reduce reliance on manual labeling and accelerate model iteration
• Own the MLOps lifecycle, including distributed training infrastructure, model registries, and low-latency inference services. Ensure high availability and observability for all deployed models
• Define technical direction, lead and grow a high-performance team of data and ML infrastructure engineers to influence impactful business outcomes
• Develop foundational systems to productionize agentic AI, Large Language Models (LLMs) and Vision Language Models (VLMs) solutions for workflow automation to enhance our products
• Enable Metropolis’s move into personalization and targeted advertisement through innovative ML data pipelines and feature stores
• Collaborate with external vendors and annotation platform providers to ensure high-quality data for production models
• Partner with other ML leaders (Growth , Edge deployment) and cross-functional leaders in Hardware, Platform, and Product engineering to align development roadmaps

What we're looking for

• 10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms
• 5+ years of experience in leadership and management, ideally having managed other managers
• MS or PhD in computer science and/or a quantitative discipline
• Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
• 1+ years experience building data /eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs)
• Experience managing technical programs, defining milestones, and communicating progress to diverse audiences
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Strong proficiency with SQL and Python
• Engage effectively with external data providers and vendors
• Familiarity with computer vision systems and models (e.g. object detection, tracking, segmentation)

While not required, these are a plus:

• Manage large scale datasets and database tools for data processing
• Deploy ML services to the cloud with a focus on scalability and reliability
• Operate in innovative, high-growth environments

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $250,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite

About Trase

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. 

About the Role

Location: Seattle, WA area

As a Staff Developer Experience Engineer (DevEx), you will own the systems, tooling, and workflows that enable engineers to build, test, and ship on Trase OS quickly and safely. As the first DevEx hire, you will build the base of the platform and team. 

This is a core platform engineering role, not internal tooling support. You will design and operate the development environment, build systems, and integration infrastructure that allow teams to work effectively in a distributed, multi-service system with strict reliability and security constraints.

Your work directly determines engineering velocity, system safety, and the ability to scale the team without increasing risk.

Why this role is needed

Trase OS is a complex, evolving platform with long-lived workflows, multiple services, and deployments across environments with varying security requirements.

As system complexity grows, developer friction and release risk become the primary bottlenecks. Without strong DevEx ownership:

• Cross-service changes become slow and error-prone
• Integration issues surface late (or in production)
• Local development diverges from production reality
• Each team reinvents workflows instead of building on shared foundations

This role exists to:

• Create paved roads for development and testing
• Ensure engineers can make changes confidently across services and environments
• Turn platform complexity into repeatable, reliable developer workflows

What you'll do

You will work on:

• A shared platform powering all Trase deployments
• Multi-service systems with complex integration points
• Development and testing workflows that must reflect real production behavior
• Tooling that enables safe iteration in security- and compliance-sensitive environments
  
  

You will:

• Design and maintain local development environments that mirror production behavior as closely as possible
• Build and operate build systems, CI pipelines, and test orchestration for multi-service systems
• Own integration and end-to-end testing infrastructure, including:
• Test environments and fixtures
• Cross-service test coordination
• Flake detection and reduction
• Develop internal tooling (CLI, SDKs, scaffolding) that standardizes how engineers interact with the platform
• Create repeatable workflows for building, testing, and deploying changes across services
• Improve developer feedback loops (build times, test reliability, debugging workflows)
• Partner with DevOps/SRE to ensure development workflows align with production reliability and deployment systems
• Establish and maintain runbooks, templates, and onboarding systems that reduce ramp time and inconsistency

Staff-level technical leadership

• Define and drive the developer experience strategy across Trase OS
• Establish standards for:
• Build and test systems
• Local development environments
• Cross-service integration workflows
• Identify and eliminate systemic sources of developer friction
• Partner with platform and product engineers to ensure new systems are designed with operability and testability in mind
• Mentor engineers and raise the bar for engineering productivity and development ergonomics
  
  

Qualifications

Required

• 8+ years of experience in software engineering, with significant focus on developer tooling, build systems, or platform engineering 
• Experience working in multi-service or distributed systems environments
• Strong experience with:
• CI/CD systems and build tooling
• Test infrastructure (integration / E2E)
• Developer tooling (CLIs, SDKs, scaffolding)
• Strong software engineering fundamentals (ability to build and maintain internal platforms/tools)
• Proven ability to improve developer velocity and system reliability simultaneously
• Experience driving cross-team technical initiatives
• Experience integrating LLMs into developer tooling, build systems, or internal platforms to improve engineering productivity
  
  

Nice to have

• Experience designing local-first or production-like dev environments (e.g., containerized or ephemeral environments)
• Experience reducing test flakiness at scale
• Familiarity with observability tooling for debugging developer workflows
• Experience working in regulated or security-sensitive environments
• Experience working with and extending developer productivity and build tooling to improve engineering workflows (e.g., GitHub, Linear, Bazel, SonarQube, Tilt, Notion, Cursor)

Benefits

• 100% employer-paid, comprehensive health care including medical, dental, and vision for you and your family. 
• Paid maternity and paternity for 14 weeks at employees' normal pay. 
• Unlimited PTO, with management approval. 
• Opportunities for professional development and continued learning with educational reimbursements. 
• Optional 401K, FSA, and equity incentives available. 
• Mental health benefits through TARA Mind.

Some travel is required.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $170,000-230,000. This represents the typical salary range for this position based on experience, skills, and other factors.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability

About the Role

Location: Seattle, WA area

As a Staff Developer Experience Engineer (DevEx), you will own the systems, tooling, and workflows that enable engineers to build, test, and ship on Trase OS quickly and safely. As the first DevEx hire, you will build the base of the platform and team. 

This is a core platform engineering role, not internal tooling support. You will design and operate the development environment, build systems, and integration infrastructure that allow teams to work effectively in a distributed, multi-service system with strict reliability and security constraints.

Your work directly determines engineering velocity, system safety, and the ability to scale the team without increasing risk.

Why this role is needed

Trase OS is a complex, evolving platform with long-lived workflows, multiple services, and deployments across environments with varying security requirements.

As system complexity grows, developer friction and release risk become the primary bottlenecks. Without strong DevEx ownership:

• Cross-service changes become slow and error-prone
• Integration issues surface late (or in production)
• Local development diverges from production reality
• Each team reinvents workflows instead of building on shared foundations

This role exists to:

• Create paved roads for development and testing
• Ensure engineers can make changes confidently across services and environments
• Turn platform complexity into repeatable, reliable developer workflows

What you'll do

You will work on:

• A shared platform powering all Trase deployments
• Multi-service systems with complex integration points
• Development and testing workflows that must reflect real production behavior
• Tooling that enables safe iteration in security- and compliance-sensitive environments
  
  

You will:

• Design and maintain local development environments that mirror production behavior as closely as possible
• Build and operate build systems, CI pipelines, and test orchestration for multi-service systems
• Own integration and end-to-end testing infrastructure, including:
• Test environments and fixtures
• Cross-service test coordination
• Flake detection and reduction
• Develop internal tooling (CLI, SDKs, scaffolding) that standardizes how engineers interact with the platform
• Create repeatable workflows for building, testing, and deploying changes across services
• Improve developer feedback loops (build times, test reliability, debugging workflows)
• Partner with DevOps/SRE to ensure development workflows align with production reliability and deployment systems
• Establish and maintain runbooks, templates, and onboarding systems that reduce ramp time and inconsistency

Staff-level technical leadership

• Define and drive the developer experience strategy across Trase OS
• Establish standards for:
• Build and test systems
• Local development environments
• Cross-service integration workflows
• Identify and eliminate systemic sources of developer friction
• Partner with platform and product engineers to ensure new systems are designed with operability and testability in mind
• Mentor engineers and raise the bar for engineering productivity and development ergonomics
  
  

Qualifications

Required

• 8+ years of experience in software engineering, with significant focus on developer tooling, build systems, or platform engineering 
• Experience working in multi-service or distributed systems environments
• Strong experience with:
• CI/CD systems and build tooling
• Test infrastructure (integration / E2E)
• Developer tooling (CLIs, SDKs, scaffolding)
• Strong software engineering fundamentals (ability to build and maintain internal platforms/tools)
• Proven ability to improve developer velocity and system reliability simultaneously
• Experience driving cross-team technical initiatives
• Experience integrating LLMs into developer tooling, build systems, or internal platforms to improve engineering productivity
  
  

Nice to have

• Experience designing local-first or production-like dev environments (e.g., containerized or ephemeral environments)
• Experience reducing test flakiness at scale
• Familiarity with observability tooling for debugging developer workflows
• Experience working in regulated or security-sensitive environments
• Experience working with and extending developer productivity and build tooling to improve engineering workflows (e.g., GitHub, Linear, Bazel, SonarQube, Tilt, Notion, Cursor)

Some travel is required.

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $170,000-230,000. This represents the typical salary range for this position based on experience, skills, and other factors.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the Advanced Technology Group (ATG) and directly influences key business metrics, including revenue, utilization, and customer demand. In this role, you will design and implement models that predict demand, analyze price–demand relationships, and develop pricing strategies. This is a highly impactful role with significant ownership over data, modeling, and infrastructure systems.

What you'll do

• Design, develop, and productionize demand forecasting models optimized for different business goals (e.g., visits, revenue, availability)
• Innovate and improve Machine Learning models for price elasticity, time series, and probabilistic models for revenue optimization
• Design and build end-to-end data pipelines to support large-scale production usage
• Identify data issues (e.g., bias, leakage, labeling inconsistencies) and drive solutions
• Design and analyze experiments (A/B, switchback, causal inference) to validate pricing strategies
• Deploy and monitor models in production, ensuring reliability, scalability, and data quality
• Collaborate with product, engineering, and business teams to translate requirements into scalable ML solutions

What we're looking for

• PhD in Computer Science, Statistics, Economics, Applied Mathematics, or a related STEM field, with at least 1+ years of relevant experience, or MS with equivalent publications
• Proficient programming skills in Python and SQL
• Foundational experience in machine learning modeling and statistics, such as time series forecasting, probabilistic models, and deep learning models
• Strong knowledge with forecasting, optimization, and decision-making algorithms, including revenue maximization, constrained optimization, and demand/price curve optimization
• Solid understanding of causal inference and experimentation, with experience evaluating both short-term and long-term effects (A/B testing, DiD, uplift modeling)
• Hands-on experience with data pipeline development, including AWS data storage, data transformation, distributed processing (Spark), and workflow orchestration (Airflow)
• Strong communication skills, both written and verbal, with the ability to operate effectively at team and deep technical levels
• Comfortable reading academic papers and formulating concepts using mathematical notation

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $180,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Team Overview:

Impinj is seeking a Senior Staff DevOps Engineer specializing in IoT and embedded applications to join our Solutions Software organization. In this role, you will serve as a technical leader and recognized expert on the Developer Infrastructure team, shaping the strategic direction for our cloud-based developer infrastructure across the organization. You will define the standards, architecture, and practices that enable multiple engineering teams – spanning software, innovation, and silicon – to deliver high-quality products at scale.

What you will do:

• Architect and drive long-term strategy for scalable and reliable infrastructure using cloud services (e.g., AWS, Azure, GCP)
• Define and evolve CI/CD standards and pipelines using GitHub Enterprise, establishing standard methodologies for build, test, and deployment processes
• Manage and optimize AWS cloud infrastructure, using Terraform for Infrastructure as Code (IaC), making architectural decisions with long-term organizational impact
• Administer and maintain JFrog Artifactory for artifact storage and dependency management, including governance policies that span multiple teams
• Implement configuration management and automation using Ansible
• Lead the development of monitoring and alerting solutions using Datadog
• Develop automation frameworks and tooling in Python for operational efficiency across the team

• Lead cross-functional collaboration with development teams to streamline deployments and improve release processes

• Monitor and optimize system performance, reliability, security, and compliance across all environments
• Provide mentorship and technical guidance to other DevOps engineers and adjacent engineering teams, acting as a multiplier across the organization
• Stay up-to-date with the latest industry trends and technologies to help shape and drive continuous improvement in platform strategy

What you will bring:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 12+ years of experience in DevOps, software development, or systems engineering
• Strong experience making architectural decisions for cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Solid proficiency in scripting languages (e.g., Python, Bash, PowerShell)
• Experience with configuration management tools (e.g. Ansible, Chef, Puppet)

• Experience with monitoring and logging tools (e.g. Datadog, Prometheus, Grafana, ELK stack)

• Deep experience optimizing and managing GitHub and Artifactory deployments
• Advanced experience with infrastructure as code tools (e.g., Terraform, CloudFormation)
• Demonstrable knowledge of networking, security best practices, and cloud architecture
• Knowledge of HashiCorp Vault for secrets management
• Strong problem‑solving abilities and comfort navigating ambiguous challenges in dynamic, evolving environments
• Deep understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming), and continuous improvement of code quality
• Proven experience influencing and building alignment across engineering leadership

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $158,700 - $238,100. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

Your Impact

Are you an engineer who gets excited about the challenge of making complex distributed systems observable — not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence.

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it.

You will be part of the Observability team within Axon's Site Reliability organization — a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally.

The ideal candidate has a strong infrastructure engineering background, is comfortable working across cloud-native systems, and cares about both the technical depth and the developer experience of observability. You'll thrive here if you have opinions about what good observability looks like, and enjoy the challenge of making it real in a large, fast-moving organization.

Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Own and evolve Axon's distributed tracing infrastructure, including Jaeger and OpenTelemetry-based instrumentation, driving adoption across Axon's service-oriented architecture
• Build and operate Axon's log aggregation platform (Grafana Loki + Alloy), expanding use cases beyond Kubernetes event logs and reducing organizational dependency on expensive third-party log tooling (including Splunk)
• Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) — the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments
• Write internal tooling and automation that makes observability self-service: toolkit commands, agentic on-call helpers, runbook generation, and dashboard scaffolding
• Manage observability infrastructure as code via Terraform, CDK, ArgoCD, and Helm — including capacity management, cybersecurity requirements and compliance, and on-call rotation participation
• Work directly with engineering teams across Axon to define instrumentation standards, drive tracing adoption, and help teams build meaningful SLOs for their services

Basic Qualifications

• Bachelor's Degree in Computer Science, Engineering, or an equivalent highly technical field
• 7+ years of experience in SRE, platform engineering, or infrastructure engineering
• Strong Linux systems fundamentals and comfort working in Kubernetes-based environments
• Hands-on experience with one or more components of the LGTM stack: Loki, Grafana, Tempo/Jaeger, or Mimir/Cortex
• Experience with infrastructure as code — Terraform strongly preferred, CDK is a plus
• Experience with any of: Golang, Python, or Java
• United States citizen — able to gain CJIS clearance for full US production access

Preferred qualifications

• Experience deploying and operating distributed tracing systems (OpenTelemetry, Jaeger, Tempo, or similar)
• Familiarity with OpenTelemetry — instrumentation, collectors, and pipelines
• Experience with GitOps workflows
• Exposure to 24/7 high-volume systems with formal SLA requirements
• Experience with agentic AI tooling or building LLM-powered developer tools
• Ability to debug complex multi-service distributed systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Team Overview:

Our Enterprise Applications team is committed to leveraging technology to drive operational efficiency and enhance our internal business processes. As we continue to grow, we are seeking a Senior Business Systems Engineer with deep experience in Microsoft Dynamics 365 Finance & Operations (F&O) to lead the design, configuration, and optimization of our business applications ecosystem.

In this role, you’ll serve as the technical and functional owner for D365 F&O, partnering directly with business stakeholders to shape requirements, deliver solutions, and continuously improve the systems and processes that power our organization.

What You Will Do:

• Application Programming & Technical Ownership
  • Lead hands-on technical and operational ownership of D365 F&O, including architecture, configuration, and integration with other enterprise applications (e.g., CRM, HRMS, PLM, and analytics tools)
  • Design, develop, and maintain custom scripts, workflows, and automation tools to extend system functionality and improve business efficiency
  • Analyze existing code, configuration, and processes to discover opportunities for optimization, scalability, and stability
  • Diagnose and resolve complex operational and technical issues, ensuring minimal business disruption and maintaining system reliability
• System Enhancements & Process Optimization
  • Architect and implement enhancements to D365 F&O modules, with a focus on Finance, Supply Chain, and Master Planning and related systems
  • Partner with key stakeholders to capture, clarify, and prioritize requirements, then translate them into functional and technical specifications aligned with organizational objectives
  • Leverage data insights and user feedback to drive continuous system and process improvement
  • Document detailed business process models, including “as-is” and “to-be” states, to guide design decisions and training initiatives
• Implementation, Training & Support
  • Develop and deliver end-user training and onboarding materials to promote system adoption and effective use
  • Serve as a tier-2 escalation point for complex system or integration issues, collaborating across departments to drive timely resolution
• Project Management & Governance
  • Lead cross-functional system projects, including D365 upgrades, integrations, and new feature implementations, from design through deployment
  • Own vendor and implementation partner activities, ensuring alignment to architectural standards, timelines, and quality requirements
  • Manage systems under SOX governance frameworks, including audit evidence collection and compliance documentation
  • Balance priorities across multiple workstreams, assessing downstream impacts, and mitigating risks to stakeholders

What You Will Bring:

• Bachelor's degree in information technology, computer science, or related field (or equivalent experience)
• 8+ years of demonstrable experience as a Business Systems Engineer or similar role
• 5+ years directly supporting or implementing D365 F&O, including module configuration, workflow customization, and user enablement through configuration and custom development
• 3+ years working within finance and operations organizations, documenting and optimizing business processes
• 2+ years of experience with programming or scripting (e.g., C#, PowerShell, Python) and API-based system integrations
• 2+ years of experience with other enterprise applications (e.g., Salesforce, ADP, Concur, Workday) and understanding of cross-system data flows
• Exposure to automated testing tools such as RSAT, Executive Automats, or Selenium in a D365 environment
• Solid understanding of data management, system integration, and automation principles
• Familiarity with software development lifecycles (SDLC), Agile methodologies, and enterprise compliance frameworks (ITIL, SOX, Lean)
• Strong analytical and problem-solving skills, with the ability to translate complex business needs into clear technical requirements and communicate trade-offs and recommendations to both technical and non-technical audiences

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $126,100 - $189,200. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

Build AI that matters. We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren’t optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You’ll join a collaborative, inclusive community with handson growth, certifications, and industry training. We ship in weeks, not quarters, and measure success with latency, reliability, safety, and cost. 

Confidentiality matters: We don’t disclose program details publicly. If you advance, we’ll share specifics during the process. 

Role Overview 

You’ll turn mission needs into secure, reliable, and scalable GenAI applications no model training required. This is a hands-on role across agentic workflows, RAG, prompt/policy design, LLM evaluation, and platform integration. You’ll own the end-to-end path from use case evaluation → production deployment → operational excellence, partnering with product, security, data, and SRE to ship features safely and at scale. 

What You’ll Do (Day to Day) 

• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost. 

• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies. 

• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma). 

• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. 

• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise. 

• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails. 

• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend. 

• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects. 

• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls. 

You'll Thrive Here If you have 

• End-to-end ownership of production systems: integration → deployment → observability → incident response. 

• Hands-on experience with LLMs, transformer based apps, and RAG in production. 

• Strong Python 

• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data. 

• U.S. Citizenship 

Nice to Have 

• Integration with leading cloud AI services or on prem inference stacks  

• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops. 

• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance. 

• Experience implementing tool using agents for API integration and external data access. 

• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell). 

• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping. 

• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude). 

• Contributions to internal frameworks or opensource; mentorship of engineers. 

• Clear communication with engineers, PMs, and security/compliance stakeholders. 

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Operational Compliance Auditor to add value and improve our operations by bringing a systematic and disciplined approach to the effectiveness of risk management, control, and governance processes. The ideal candidate possesses thorough knowledge of accounting procedures and sound judgment, as you will review control processes to ensure the reliability of information, compliance with regulations, and the safeguarding of assets. In this role, you will act as an independent partner to operations management, interacting with various levels of leadership to provide timely recommendations and navigate difficult conversations regarding findings to ensure the achievement of our operational and financial goals.

What you'll do

• Act as an objective source of independent advice to ensure validity and goal achievement
• Identify loopholes and recommend risk aversion measures and cost savings
• Maintain open communication with management
• Conduct follow up audits to monitor management’s interventions
• Engage in continuous knowledge development regarding Metropolis's parking equipment, industry rules, regulations, best practices, tools, techniques, and performance standards
• Obtain, analyze and evaluate accounting documentation, reports, data, flowcharts, etc.
• Perform location audits at Commercial and Aviation sites using a structured audit format that follows adherence to standard operating procedures
• Prepare and present reports that reflect observations and recommendations to the Operational Audit Manager, Senior Facility Managers, and Regional Managers
• Work on special assignments such as consulting services for existing or prospective clients, investigation work involving suspected control breakdowns and fraud, development of department or localized training programs, and other strategic initiatives
• Travel 25-35% of the time

What we're looking for

• Bachelor's degree in Accounting, Finance, or a related field; or equivalent experience
• Proven working experience as a Senior Operations Manager, or equivalent experience
• Proven knowledge of auditing standards and procedures, laws, rules and regulations
• Proficient in common office software, such as Microsoft 365 and Google Workspace
• Ability to manipulate large amounts of data to compile detailed reports
• High attention to detail and excellent analytical skills
• Excellent writing and communication skills
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Prior management experience in parking, hospitality, or related industry

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $100,000.00 USD to $115,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-WT1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease, and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working, and playing remarkable - giving us back our most valuable asset, time.

Who you are

Metropolis is seeking a Staff Software Engineer to join our Revenue Platform team. In this role, you will own the technical direction for our billing, payments, and invoicing infrastructure, charting the course for a system that already processes tens of millions in monthly transactions. You will balance immediate business needs with long-term architectural improvements, identifying high-impact enhancements and designing practical migration strategies to support our rapid growth.

As a technical leader, you will partner closely with engineering, finance, and operations teams to solve complex challenges involving pricing rules, subscription billing, and enterprise invoicing. You are a systems thinker who enjoys understanding how things work and building the roadmaps that improve a platform while it runs. Your work will directly shape how Metropolis monetizes its platform and expands into new verticals beyond parking, ensuring our financial systems remain resilient, compliant, and remarkably efficient.

What you’ll do

• Own the technical architecture and evolution of Metropolis's billing, payments, and invoicing systems, establishing standards for financial accuracy, transaction integrity, and compliance that ensure every dollar is correctly captured and accounted for
• Design and implement resilient payment processing with support for multiple payment gateways (Stripe,  etc.), intelligent routing between processors, retry strategies for failed transactions, and graceful handling of partial failures to maximize payment success rates
• Build comprehensive monitoring and reporting for revenue operations, including payment success rates, billing accuracy metrics, reconciliation dashboards, failed transaction alerts, and audit trails that provide visibility from customer transactions to accounting close
• Partner with finance and operations teams on payment failures, billing disputes, refund workflows, and reconciliation issues – building tools and automation that reduce manual intervention and improve mean time to resolution for customer-impacting revenue issues
• Drive adoption of revenue system best practices across services, including idempotent payment processing, distributed transaction handling, compensation workflows for failures, audit logging, and testing strategies that ensure financial correctness
• Own integrations with external systems, including payment gateways, ERP, data analytics, etc., ensuring reliable data flow and maintaining compliance requirements across the revenue stack

What we’re looking for

• 8+ years of hands-on engineering experience with a focus on building revenue systems like payment platforms
• Strong systems thinking for financial correctness with proven ability to design distributed revenue systems that handle edge cases gracefully: partial failures, duplicate requests, timing issues, currency conversion, tax calculation, and maintaining transaction integrity across service boundaries
• Database and financial data expertise, including transaction isolation, audit logging, point-in-time recovery, handling financial data migrations, and experience with systems that require both high availability and absolute correctness
• Payment gateway and integration experience with production knowledge of Stripe, PayPal, or similar processors; tax calculation services; accounting system integrations; and the operational reality of depending on external financial services, including compliance requirements like PCI-DSS
• Excellent technical communication with the ability to influence technical decisions across teams (particularly finance, accounting, and data teams), document complex systems, conduct post-mortems, and establish reliability standards organization-wide
• Experience with sophisticated usage of rapidly developing AI-assisted development skills in real-world codebases, including fluent use of Claude Code/GPT Codex/Windsurf or similar tools in multi-agent mode, spec-driven development (SDD),  MCP/skills optimization, context/prompt engineering
• Local to the Seattle area

While not required, these are a plus

• BS or MS in Computer Science or a relevant engineering discipline
• Expert-level revenue systems engineering with hands-on experience building billing platforms, payment processing pipelines, reconciliation systems, and handling challenges like idempotent transactions, failed payment retries, proration logic, multi-currency support, and revenue recognition – you've seen these problems before and know the patterns that work
• Expert revenue systems engineering with hands-on experience building billing platforms, payment processing, reconciliation, and managing complex challenges like idempotent transactions, payment retries, proration, multi-currency support, and revenue recognition.
• Financial systems expertise with deep experience implementing audit trails, reconciliation workflows, revenue reporting, and compliance controls at scale – you understand what it takes to maintain penny-perfect accuracy
• Java expertise with a deep understanding of JVM performance, concurrency, and operational characteristics. Scala experience is a big plus
• Experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity

  Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $220,000 USD to $250,000 USD annually. The actual base pay offered is determined by several variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are

You are a visionary leader who occupies the space between high-level software orchestration and low-level system performance. You are motivated by the idea that world-class infrastructure should be a catalyst for public good, not a proprietary secret. You understand that in the world of frontier AI, the "software" and the "hardware" are a single, inseparable organism. You are as comfortable designing a distributed scheduling algorithm in Go as you are debugging a NCCL timeout or optimizing an InfiniBand fabric.

You lead by example, blending the rigor of a Lead Software Engineer with the pragmatic, hands-on urgency of an HPC operator. Not only do you build systems, but you also ensure they thrive under the immense pressure of training world-class AI models.

Who We Are

While much of the AI industry has moved behind closed APIs, proprietary datasets, and "black box" infrastructure, Ai2 remains a lighthouse for Open Science. Founded by the late Paul Allen, we are a non-profit research institute dedicated to building AI for the common good.

We don't have a stock price to defend or a walled garden to protect. Instead, we have a mission: to provide the global research community with the transparent, high-performance foundations they need to achieve humanity-enriching breakthroughs.

What makes us different:

• Radical Transparency: We don't just release model weights; we release the data, the training code, and the infrastructure insights. We believe the "how" is just as important as the "what."
• Mission over Margin: Our "bottom line" is scientific impact. This gives us the unique freedom to prioritize technical elegance, long-term stability, and open-source contributions over quarterly profit targets.
• The Best of Both Worlds: We operate at the pace and scale of a world-class tech startup but with the intellectual soul of a research lab.
• The Beaker Ecosystem: We build and operate systems like Beaker to coordinate the simultaneous training of frontier models (like OLMo) across massive GPU clusters. Our job is to ensure that the next great AI breakthrough isn't stalled by a resource bottleneck or a proprietary gatekeeper.

Your Next Challenge

At Ai2, we believe that the most important AI breakthroughs should be transparent and accessible. Your challenge is to build the infrastructure that makes this possible. You will bridge the gap between our researchers, our orchestration platform (Beaker) and our GPU clusters.

You will be a technical lead responsible for ensuring that when a researcher submits a job, the software schedules it intelligently and the hardware executes it flawlessly. This involves:

• Designing for Scale: Architecting the next generation of our orchestration layer to ensure that the highest value workloads receive GPU time.
• Operational Excellence: Moving our HPC operations from manual intervention to high-level automation.
• Performance Engineering: Working directly with researchers to squeeze every bit of performance out of our GPU-accelerated computing environment.

Your Responsibilities

• Strategic Leadership: Develop the roadmap for managing large-scale HPC systems, including the deployment of compute, networking, and storage in partnership with leadership.
• Full-Stack Ownership: Lead the design and delivery of critical systems that span the entire stack—from the Beaker job scheduler to the execution runtime.
• System Automation: Build innovative tooling and software-defined infrastructure to accelerate researcher velocity and automate cluster health management.
• Performance Optimization: Conduct root-cause analysis on complex distributed system failures and implement optimizations for distributed workloads.
• Mentorship & Culture: Foster a high-performance culture by reviewing code/design docs, mentoring team members, and driving process improvements across the organization.
• Evangelism: Represent Ai2’s infrastructure work across internal research teams.

What You’ll Need

• 10+ years of professional experience developing business-critical software and operating large-scale compute infrastructure. Proficiency in Go and/or Python preferred.
• Bachelor’s degree in related field; relevant advanced degree may substitute for equivalent years of technical work experience
• Deep Linux Expertise: Expert-level knowledge of Linux internals, and container runtimes like Docker.
• Distributed Systems Mastery: A proven track record of designing, debugging, and optimizing high-scale distributed systems and databases.
• HPC Foundations: Applied experience with workload schedulers (like Kubernetes or Slurm) and high-performance networking (NCCL and InfiniBand).
• Cloud & Hardware Hybridity: Familiarity with the nuances of on-prem GPU cluster management and cloud infrastructure (GCP, AWS).
• Communication: Exceptional writing skills and the ability to drive consensus across diverse groups of researchers and engineers.
• A principled approach to engineering: you care about how systems are built and are excited by the unique constraints and freedoms of a non-profit research environment.

Bonus Qualifications

• Prior experience training or fine-tuning frontier AI models.
• Deep systems administration expertise or "Site Reliability Engineering" (SRE) background in an HPC context.
• Experience contributing to open-source infrastructure or orchestration projects.
• Familiarity with on-prem storage systems like WEKA and Ceph.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits: 

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $176,400 - $264,600, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who We Are: 

Ai2 is a non-profit research institute at the forefront of open-source AI development. Unlike industry peers, our goal is to share our findings, data, code, and models with the global scientific community.

We are seeking a Director of AI Infrastructure to oversee the systems that power our research. This leader will be responsible for the full lifecycle of our high-performance computing (HPC) environment which includes on-prem GPU clusters and the software orchestration layer that schedules workloads across a hybrid cloud environment.

Who You Are:

• Systems Expert: You have a deep understanding of the Linux kernel, container runtimes, and distributed systems. You understand the performance implications of InfiniBand topologies and NCCL optimizations.
• Strategic Thinker: You look beyond the immediate "fire" to design systems that will scale for the next 3–5 years of AI research.
• Pragmatic Leader: You are comfortable making trade-offs between technical elegance and operational necessity. You prioritize reliability and researcher velocity above all else.

Your Next Challenge:

The essential functions include, but are not limited to the following:

• Cluster Management: Oversee the availability and performance of dense on-prem GPU clusters. You will partner with hardware vendors and internal teams to ensure our physical infrastructure meets the demands of frontier model training.
• Orchestration & Scheduling: Direct the strategy for Beaker, our internal orchestration platform. Your goal is to optimize job scheduling, ensuring high utilization of both on-prem assets and elastic cloud resources (AWS/GCP).
• Storage Architecture: Develop and execute a long-term roadmap for storage that balances high-throughput performance for active training with cost-effective durability for petascale research data.
• Resource Economics: Act as the primary steward of our GPU compute budget. You will make data-driven decisions on when to burst to the cloud versus when to invest in on-prem capacity.
• User Support & Velocity: Serve as the technical bridge to our research teams. You will ensure that infrastructure is an accelerator, not a bottleneck, for a diverse set of research objectives.

What You’ll Need:

• Experience: 12+ years in infrastructure, systems engineering, or HPC, with at least 5 years in a leadership role managing multi-disciplinary engineering teams.
• Bachelor’s degree in related field; relevant advanced degree may substitute for equivalent years of technical work experience
• GPU/HPC Stack: Direct experience managing large-scale NVIDIA GPU clusters and high-performance networking (InfiniBand/RoCE).
• Cloud Native: Strong background in Kubernetes, Slurm, or similar orchestration frameworks, particularly in hybrid-cloud configurations.
• Storage Mastery: Experience with distributed filesystems (e.g., WEKA, Ceph, Lustre) and cloud storage integration at scale.
• Software Development: Proficient in Go or Python, with the ability to review architecture and code for our internal tooling.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits: