The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

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

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

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

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

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

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

We are looking for a Staff Engineer to join our Shared Platform Services team. This is a hybrid role based in San Jose, CA, reporting to the Sr. Manager, Software Engineering QA. As a Staff Engineer, you will be instrumental in leading functional, system, and automation testing for Zscaler features while expanding automation infrastructure to enhance quality and efficiency.

What you’ll do (Role Expectations)

• Collaborate across Development, Product Management, and Federal Cloud Operations teams to ensure timely delivery of high-quality products through design, testing, and release

• Lead functional, system, and automation testing efforts, expanding automation coverage and ensuring efficiency and robust quality assurance

• Manage Federal cloud processes, including deployment procedures, monitoring, and resolving escalations in collaboration with Federal operations and support teams

• Investigate and resolve complex production issues by identifying root causes, verifying fixes, and developing comprehensive test plans

• Contribute to team growth by hiring and training new talent, fostering a culture of inclusivity, and staying updated on evolving technologies

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• US Citizenship Required with 5+ years of Software Development or Quality Assurance experience, specifically within networking and security environments

• Strong expertise in cloud-hosted applications, database operations, API testing, microservices architecture, and automation scripting using Python

• Proficiency in L4-L7 Internet and Security networking protocols including TCP/IP, SSL/TLS, and HTTP/HTTPS

• Experience with deployment and monitoring tools such as Jenkins, GitLab, and Ansible

• Bachelor’s degree in Computer Science Engineering or a related field with a proven ability to troubleshoot complex cloud issues

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI in testing and automation, leading quality teams, and familiarity with FedRAMP qualification

• Deep knowledge of Linux system administration, traffic generation tools like Ixia or Spirent, and relevant cloud or networking certifications

• Understanding of authentication systems such as LDAP and SAML, encryption solutions, and debugging Linux systems

#LI-JM1 #LI-Hybrid

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $300,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

What we do

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Principal Research Engineer – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

About the role:

As a key member of the product team at Aptos, you will play a pivotal role in building industry-leading Web applications and tools that empower developers in the Web3 ecosystem. You’ll work on a wide range of projects designed to enhance consumer-facing experiences, including decentralized applications for trading and novel experiences, wallets, SDKs, APIs, standards, and protocols.

We are a lean, high-impact team that values initiative and independence. Engineers in this role will drive large, complex projects, shaping the future of Web3 products and applications.

What You’ll Be Doing:

• Leading initiatives to design, build, and optimize Web3 products and applications for Aptos
• Developing new features and integrations to enhance existing experiences
• Maintaining and improving current platforms and web interfaces
• Writing clean, performant, and well-tested code
• Collaborating closely with designers, infrastructure engineers, and other product engineers

We’re looking for:

• 5+ years of experience building and shipping user-facing products
• Deep expertise in JavaScript, TypeScript, and React
• Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
• Experience with UX/UI design and systems (a plus)
• Web3 experience or familiarity (a plus)
• Background in payments, defi, or tradfi (a plus)
• 2+ years of experience leading technical teams

The base salary range for this full-time position is $220-$250k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.

ABOUT THE TEAM

The Connected Warfare Division is integrating advanced computing, AI-driven decision-making, and warfighter-centric technology into a single, cohesive ecosystem to revolutionize modern combat. We create joint, time-sensitive, multi-domain, connected mesh systems that serve as the substrate providing the source of truth for critical decisions. This ecosystem enables connected warfare with disproportional impact by connecting every robot, human, and sensor in every domain, bringing together hundreds of thousands of endpoints across the globe.

One of the three business lines is Warfighter Systems, which brings cutting-edge technology directly to those on the frontlines. Our flagship Eagle Eye headset and integrated helmet system exemplifies this approach, leveraging best-in-class commercial partnerships to enhance soldier capabilities. Wearable tech, immersive mission command tools, and seamlessly integrated software and hardware create an ecosystem that improves situational awareness, survivability, and combat effectiveness. From training to battlefield operations, Anduril's Warfighter Systems designs tools that move at the speed of war, ensuring that soldiers are better connected, more lethal, and more resilient.

ABOUT THE JOB

We’re seeking a Senior Technical Program Manager to drive hardware design and development efforts across several of Connected Warfare’s largest programs. This role requires a unique blend of technical expertise, program management experience, customer focus, and an understanding of the defense sector and military systems. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

WHAT YOU'LL DO

• Program Management: Align program roadmaps, manage timelines, and allocate resources to ensure successful delivery and production-quality. Balance competing priorities across multiple products and programs in a fast-paced, startup environment.
• Cross-functional Collaboration: Serve as the primary liaison between research, engineering teams, product management, and external stakeholders—including defense contractors and government entities. Align cross-functional teams on their goals, dependencies, and deliverables. Drive effective communication and collaboration across distributed teams and locations.
• Technical Expertise: Understand the architecture, dependencies, and technical challenges of defense-related systems. Support engineering teams in resolving technical issues, making trade-offs to meet division objectives. Ensure compliance with industry standards and government regulations, such as ITAR and RMF.
• Risk Management: Identify and mitigate risks proactively, including technical, schedule, and compliance-related risks. Monitor dependencies, anticipate bottlenecks, and adjust plans as needed to maintain program momentum.
• Stakeholder Management: Manage relationships with key suppliers, customers, partners, and government agencies, ensuring program alignment with contractual obligations and stakeholder expectations. Prepare and deliver clear program updates, technical briefs, and performance reports for internal and external audiences.
• Process Improvement: Implement and refine processes to enhance program execution and efficiency within a startup environment. Leverage best practices in program management while adapting to the unique challenges of the defense sector. Cultivate knowledge management repositories and CI/CD pipelines to build processes that result in production-quality engineering deliverables.

REQUIRED QUALIFICATIONS

• Minimum 10+ years managing complex hardware development programs through all phases of the hardware development cycle.
• At least 8+years as Technical Program Manager, Product Manager, Engineering Manager, or Engineer for a commercial technology or aerospace and defense company.
• Strong technical background with familiarity in systems engineering, software development, and networking
• Proven client-facing technical program management and/or systems engineering experience
• Demonstrated ability to translate complex technical issues into business-impact insights
• Exceptional organizational and communication skills
• Experience overseeing the full development lifecycle of a hardware product or a critical component
• Proven experience in component sourcing and vendor management
• Willingness to travel as needed (up to 25%)

PREFERRED QUALIFICATIONS

• Hands-on experience with custom battery pack engineering, from cell selection and mechanical design to robust BMS implementation and safety validation.
• Ability to work within organizations with minimal structure and with minimal direction
• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth
• Familiarity with a defense industry compliance, and reporting requirements
• Experience with developing and operating distributed systems, CI/CD pipelines, APIs, middleware, 3rd-party software developer experience initiatives, and/or modular system architectures
• Experiencing with managing Test and Evaluation or continuous Quality Assurance of complex programs
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Bachelor’s Degree in an Engineering discipline

WHAT YOU’LL DO

• Lead the definition, design, and execution of product verification and validation activities throughout the product development life cycle
• Implement and automate software verification tests by defining and delivering test cases written against software requirements
• Analyze and simulate requirements per customer specifications or developed internal product requirements
• Review use cases, requirements, and specifications for products to ensure that requirements and specifications can be verified and validated
• The review also includes risk mitigations, usability, and regulatory requirements
• Execute complex testing, perform in-depth statistical analysis, and interpret results independently
• Ensure that testing and results are traced to requirements; activities are completed with objective evidence
• Summarize results in reports with conclusions or recommendations
• As a hands-on subject matter expert, lead ad hoc testing and potential failure mode analysis to characterize product designs and performance
• Conduct V&V Design Reviews as specified in project plans, and in accordance with company procedure
• Maintain knowledge of current regulatory requirements and standards as they pertain to the development and testing of products
• Provide technical leadership to a growing team
• Gain a working understanding of Anduril’s business lines and collaborate with leaders to build cohesive, end-to-end experiences for our users
• Be an advocate for excellent engineering culture across the team

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Bachelor's degree in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or related field, or equivalent experience
• 4+ years of experience in Software testing or related technical experience
• Experience with requirements based verification and implementation of verification strategies with a strong emphasis on automated tests
• Have extensive knowledge of software development, processes, and verification tools, such as C/C++, Python
• Track record of architecting software test plans in the Aerospace and Defense space
• In-depth knowledge of requirements management, risk based testing approaches, defect tracking, and configuration control
• Strong Knowledge of Software Testing Principles And Methodologies
• Experience in Software Development Life Cycle And Software Verification Techniques
• Knowledge of Software Quality Assurance Tools And Techniques
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Experience standing up automated hardware-in-the-loop testing infrastructure
• Functional knowledge of software development, verification, and validation requirements for DO-178 and MIL-HDBK-516C
• Experience developing testable requirements and understanding of DO-178 and MIL-HDBK-516C verification objectives

Vast is looking for a Integration Engineer, Fluid Systems Test, reporting to the Sr. Manager, Integration Test, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities

• Own design, build, and commissioning of fluid system GSE and test stands.
• Develop clear and robust test plans for on-vehicle checkouts, fluids, instrumentation, and high-pressure testing.
• Act as test director, providing status updates and leading handoff meetings.
• Conduct PDRs, CDRs, and TRRs before design and test execution.
• Produce professional documentation including mechanical, fluid, and instrumentation schematics.
• Document non-conformances and collaborate with quality team on root cause corrective actions.
• Adhere to, enforce, and improve test processes and best practices.
• Collaborate with distributed engineering organizations to define test plans, requirements, and schedules.
• Partner with engineers, SMEs, and technicians to solve complex fluid system problems.
• Mentor engineers and technicians on the team.

Minimum Qualifications

• Bachelor's degree in mechanical, manufacturing, aerospace, electrical, or similar field.
• 4+ years of related engineering experience.
• Hands on hardware integration and testing experience.
• Experience with working with technicians and running multi person operations.
• Experience writing test plans, procedures, presentations, and providing go/no-go judgment and rationale.

Preferred Skills & Experience

• Experience with pressure testing, fluid system design, proof and leak checks in compliance with ASME B31.3.
• Experience planning and executing engineering operations in time-sensitive, high-risk environments.
• Knowledge of pressure safety standards (D.O.O, ASME, API, NFPA) for quantity distance and keep-out zones.
• Experience with high-pressure gas systems and closed-loop control systems.
• Ability to design and perform environmental testing per SMC-S-016, GEVS NASA-STD-7000a, MIL STD 810G.
• Experience designing and implementing instrumentation systems and precision measurement devices.
• Experience with DAQ hardware and software (NI PXI, cRIO, cDAQ, Dewesoft, Beckhoff).
• Ability to generate test system P&IDs using Visio, Lucidchart, or equivalent.
• Experience writing and executing test plans/procedures in collaboration with design engineers.
• Perform structured root cause analysis of test failures.
• Experience in structural design and analysis of test fixtures.
• Proficiency with CAD systems (NX preferred).
• Experience with PLM systems (Teamcenter preferred) and version control (SVN, GIT).
• Experience with project scheduling tools (Smartsheet, MS Project, or equivalent).
• Experience with JIRA and/or Confluence.
• Ability to quickly troubleshoot new and existing systems.
• Ability to rapidly shift priorities across multiple projects and deliver high-value results iteratively.
• Strong collaboration skills across cross-functional engineering teams.

Additional Requirements:

• Ability to travel for vehicle test support (20%) including extended travel (up to 1 month) for final vehicle test.
• Ability to work varying hours, shifts, extended hours, and weekends as needed.
• Ability to stoop, bend, crawl, and maneuver in tight spaces; physically able to lift up to 25 lbs unassisted.
• Ability to perform in a fast-paced, rapidly changing work environment.

Pay Range: 

• Integration Engineer II: $112,340 - $159,468
• Senior Integration Engineer: $$137,760 - $195,552
• Staff Integration Engineer: $162,360 - $230,472

Vast is looking for a Integration Engineer, Avionics Test, reporting to the Sr. Manager, Integration, to support the development of the systems required for the  build and test of artificial-gravity human-rated space stations.

This will be a full-time, exempt position in our Long Beach location. 

As a Integration Test Engineer, you will develop creative solutions to complex assembly and production problems. You will play a critical role in our development and production teams for identifying and defining test processes and plans and then executing. Your input will be vital in transitioning the space station from design to a built and tested station ready to host humans in space.

Responsibilities: 

• Plan, schedule, prepare, coordinate, direct, and exercise functional authority for completion of tests.
• Enable day-to-day execution of the vehicle integration and test flow.
• Collaborate with the distributed engineering organizations to define and manage test plans, requirements, and schedules.
• Ensure integration procedures are continuously evolving to reflect the most efficient assembly practices.
• Develop, qualify, and refine manufacturing processes to meet all requirements including safety, quality, efficiency, and delivery.
• Collaborate with other engineers, subject matter experts, and technicians to solve complex production issues.
• Act as test director and provide status updates and run handoff and other tagups.
• Document and provide resolution to non-conformances and collaborate with the quality team to implement root cause corrective actions.

Minimum Qualifications:

• Bachelor's degree in mechanical, manufacturing, aerospace, electrical, or similar field.
• Hands on hardware integration and testing experience.
• Experience writing test plans, procedures, presentations, and providing go/no-go judgment and rationale.

Preferred Skills & Experience:

• Experience with the build, assembly, integration, or test of complex assemblies and systems.
• Familiarity with Linux and Python environments.
• Ability to make independent judgments with limited information.
• Experience writing test plans, procedures, and providing go/no-go judgment and rationale.
• Experience planning and executing vehicle level system verifications, leak checks, or environmental tests.
• Comfortable working in a high-stress environment balancing several projects at any given time, and the flexibility to adjust for abrupt changes in strategic direction.

Additional Requirements:

• Ability to travel up to 20% of the time.
• Willingness to work evenings and/or weekends to support critical mission milestones.
• Ability to lift up to 25 lbs unassisted.

Pay Range: 

• Integration Engineer II: $112,340 - $159,468
• Senior Integration Engineer: $137,760 - $195,552
• Staff Integration Engineer: $162,360 - $230,472

The Electrical QCx Engineer is responsible for supporting commissioning, qualification, and startup activities for electrical systems within a semiconductor manufacturing facility. This role ensures systems are installed, tested, and validated in accordance with design documents, specifications, and operational requirements.

Working closely with engineering, construction, and operations teams, the QCx Engineer provides technical oversight from design review through system turnover, supporting all phases of the project lifecycle including construction, startup, and final acceptance.

Responsibilities:

• Supports design and Issued for Construction (IFC) drawing reviews to ensure constructability and compliance with project requirements
• Validates Sequence of Operations (SOO) and provides over-the-shoulder (OTS) support during system implementation
• Performs construction field walks and audits to verify installation quality aligns with drawings, specifications, and testing documentation
• Develops and supports Workarounds (WA) and Equipment Early Run (EER) strategies to enable safe and efficient startup
• Supports system startup, Functional Acceptance Testing (FAT), and qualification activities in coordination with engineering teams
• Provides engineering support for system matching and qualification work processes (WP)
• Leads and supports Owner Acceptance / Blue Tag (OA/BT) processes for electrical equipment and systems
• Assists in the development and execution of Shut-down / Tie-in Matrices (SDTM)
• Supports shakedown planning and execution to ensure system readiness and operational stability
• Collaborates with cross-functional teams including construction, QA/QC, commissioning, and operations to resolve technical issues
• Ensures all activities are executed in compliance with site safety standards and project requirements
• Any other duties or responsibilities that may be assigned to you in your role. 

Skills Required:

• Minimum 5+ years of experience working with electrical systems in mission critical industries, preferable to have prior semiconductor experience
• Strong understanding of electrical system installation, testing, and commissioning processes
• Ability to interpret construction drawings, specifications, and sequences of operations
• Experience supporting startup, commissioning, and system turnover activities
• Strong communication and coordination skills in a cross-functional team environment

Education / Licenses / Certifications

• Bachelor’s degree in Electrical Engineering or related field required (equivalent field experience considered)
• Proof of education, licenses, and certifications will be required where applicable. 

Benefits:

• Medical, Dental and Vision Insurance 
• Life, Short-Term, Long-Term Disability Insurance 
• Training and Education Assistance 
• 401k Retirement Plan 
• Extra Annual Leave with Years of Service 
• Maternity/Paternity Leave 
• Recognition Rewards
  
  

Vast is looking for a Manufacturing Engineer – Factory Systems & Rate Production, reporting to the Director of Operational Excellence, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations. Use this space to describe the role and sell the candidate on the cool stuff they would get to work on. 

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own Haven-2 factory layout and production system architecture, including maintain authoritative, up-to-date floor plans and work center configurations, and lead future-state factory design to meet rate production requirements as the program scales
• Lead DFM/DFA reviews and manufacturing readiness activities from development through production, partnering directly with design engineering to optimize producibility, assembly efficiency, and transition readiness and representing Manufacturing Engineering in design reviews (PDR, CDR), manufacturing readiness reviews (MRR), and production readiness reviews (PRR)
• Define, implement, and own key performance metrics across all Haven-2 work centers including throughput, cycle time, first-pass yield, and capacity utilization and design the data infrastructure and reporting systems required to monitor, analyze, and act on production performance
• Lead structured continuous improvement programs using Lean, Six Sigma, and value stream design methodologies, conducting time and motion studies (MOST, Yamazumi), identifying bottlenecks, and implementing standardized, scalable solutions that measurably improve throughput and reduce cycle time
• Develop and maintain the full suite of manufacturing documentation, including process plans, routings, standard work, and work instructions ensuring consistency, repeatability, and compliance with AS9100 and applicable aerospace workmanship standards
• Specify, qualify, and deploy tooling, fixtures, and production equipment, including coordinating custom tooling design to enable efficient, repeatable assembly of complex space hardware
• Drive process standardization across products, assemblies, and work centers, reducing variability and building the operational foundation necessary for sustainable rate scaling
• Lead process qualification and manufacturing readiness activities, including first article inspections (FAI), process validation, and AS9100 certification efforts acting as the primary manufacturing engineering project management resource for these initiatives
• Facilitate regular production performance reviews with manufacturing, quality, and supply chain leadership presenting data-driven analysis of throughput, efficiency, and rate performance, and leading corrective action on identified gaps
• Act as a hands-on systems-level problem solver on the manufacturing floor, bringing structured analytical rigor and practical engineering judgment to complex operational challenges
• Proven expertise in Lean manufacturing and Six Sigma methodologies, with demonstrated results in throughput improvement, cycle time reduction, and process standardization
• Experience conducting time and motion analysis (MOST, Yamazumi, or equivalent) to establish standard work and quantify improvement opportunities
• Hands-on experience developing and maintaining manufacturing documentation (process plans, routings, work instructions) in compliance with AS9100 or equivalent quality management systems
• Strong data and analytics skills demonstrated ability to design manufacturing performance metrics, build dashboards, and drive decisions from production data using tools such as Tableau, Power BI, or SQL
• Strong cross-functional communication skills, with experience presenting manufacturing performance, risks, and strategies to engineering and operations leadership
• Proven project management capability across concurrent manufacturing initiatives with multiple stakeholders

Preferred Qualifications:

• Lean or Six Sigma certification (Green Belt or Black Belt) with quantified project results
• Direct experience with AS9100 certification, audits, or quality management system implementation in an aerospace or defense manufacturing environment
• Experience leading manufacturing readiness reviews (MRR), production readiness reviews (PRR), or first article inspections (FAI) for flight or high-reliability hardware programs
• Familiarity with Manufacturing Execution Systems (MES) or ERP/MRP platforms (e.g., SAP, Oracle, Aligni) and experience leveraging them to improve production traceability and efficiency
• Proficiency with CAD or facility planning tools (AutoCAD, SolidWorks, or equivalent) for factory layout and work center design
• Experience scaling production from low-rate initial production (LRIP) to high-rate production for complex aerospace or space hardware
• Familiarity with PFMEA, process validation, and quality planning methodologies applied to aerospace hardware manufacturing
• Advanced skills in manufacturing data visualization and analytics, including experience building integrated reporting systems from multiple production data sources

Pay Range: 

• Manufacturing Engineer II: $112,000 - $159,000
• Senior Manufacturing Engineer: $137,700 - $195,000
• Staff Manufacturing Engineer: $162,00 - $230,000

Vast has multiple Structures Manufacturing Engineer openings, reporting to the Manager of Structures Fabrication, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Responsible for the build and inspection process for the assembly of the primary structure
• Develop and refine manufacturing processes, including: welding, trimming, shearing, rolling, bending, and more to meet all design and business requirements including safety, quality, efficiency and delivery
• Document and standardize welding and other processes and own the creation and modification of manufacturing planning/work instructions
• Collaborate with other engineers, subject matter experts, and technicians to solve large-scale production challenges
• Work with design engineers to evaluate designs for manufacturability and implementation in a rapidly evolving production environment
• Resolve product non-conformances and collaborate with the quality team to implement root cause corrective actions
• Help manufacturing and engineering teams to identify, plan, and execute capital equipment, machine, and layout upgrades to meet volume production demand
• Develop and refine floor layouts, capacity models, and product flow analysis to ensure on-time vehicle delivery to manifest

Minimum Qualifications:

• Bachelor’s Degree in Engineering or Comparable STEM field
• One of the following:
• Extensive experience collaborating with stakeholders to implement new manufacturing processes, products, or tools, (especially involving metallic assemblies), OR
• Extensive experience collaborating with stakeholders to revise and improve existing manufacturing processes, products, or tools,(especially involving metallic assemblies)
• One of the following:
• Extensive manufacturing experience managing a product/product line across multiple work centers and/or departments, OR
• Extensive manufacturing experience managing multiple products/product lines within a single work center/department
• Experience collaborating with stakeholders to address manufacturing non-conformances and implement corrective actions
• Experience in a fast-paced development environment, especially development-to-production transitions for new products/projects

Preferred Skills & Experience:

• Experience with large-scale metal forming and/or welding processes (~Ø20 ft. assemblies)
• Experience with automated or semi-automated metal forming and/or welding processes
• Knowledge of manufacturing techniques, processes, and equipment related to welding and metal forming/rolling
• Experience transitioning complex products from R&D to production in a fast-paced environment
• Experience in a production environment within the aerospace industry

Additional Requirements:

• Ability to lift up to 25lbs unassisted
• Willingness to work overtime, or weekends to support critical mission milestones

Pay Ranges:

• Manufacturing Engineer I: $86,100 - $122,220
• Manufacturing Engineer II: $112,340 - $159,468
• Senior Manufacturing Engineer: $137,760 - $195,552
• Staff Manufacturing Engineer: $162,360 - $230,472

Vast has multiple Tooling Engineer openings, reporting to the Senior Manager, Tooling, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Own the design, activation, and implementation, and support fabrication, of fixtures and tooling required for Haven-1 assembly, lifting, and handling.
• Work with Integration and Manufacturing to define vehicle integration flow, manufacturing process, concepts and tooling interfaces.
• Collaborate with vehicle engineering and production to define fixture and tooling specifications, qualification plans, and introduce to production.
• Perform mechanical analysis for spacecraft fixtures.
• Develop operation and maintenance plans for all test fixtures and tooling. Assist the facilities manager(s) in all aspects of project implementation as needed
• Manage schedule on assigned projects including critical next steps, deadlines, and outcome.
• Manage vendor relationships and coordinate meetings to identify new technologies and how they can be applied to Vast’s cutting edge applications.
• Develop, test, and implement tool improvements to yield time savings or tolerance improvements.
• Coordinate tooling modifications related to part, production, or other changes.
• Work closely with engineering stakeholders and technicians to solve production-related issues. 

Minimum Qualifications:

• Bachelor of Science degree in Mechanical Engineering, or other engineering discipline.
• Experience with GD&T.
• 5+ years of experience in aerospace or automotive tooling.
• 5+ years of experience in NX or other 3D CAD packages.
• Hands-on experience with handling, lifting, or building large, complex assemblies.
• Knowledge of project planning and execution practices, including logic-linked schedule management.

Preferred Skills & Experience:

• Experience with work orders and assembly instructions.
• Design of pneumatic, electrical, or hydraulic motion systems.
• Critical lifting and break overs fixtures.
• Integration tooling design.
• A passion for hardware development, including working in a fast-paced environment and hands-on design and development.
• Strong communication skills.

Additional Requirements:

• Willingness to work evenings and/or weekends to support critical mission milestones
• Ability to lift up to 25 lbs unassisted

Pay Range: 

• Tooling Engineer II $112,340 - $159,468
• Senior Tooling Engineer $137,760 - $195,552
• Staff Tooling Engineer $162,360 - $230,472

Vast is seeking an Industrial Engineer to lead a foundational role in driving operational excellence across our manufacturing facilities. Reporting to the Director of Operational Excellence, this position will focus on defining key performance metrics, optimizing production processes, and providing leadership with actionable data to improve throughput, efficiency, and accountability.

The ideal candidate thrives in a fast-paced, hands-on environment, collaborates effectively across functions, and balances tactical execution with strategic process improvement.

This is a full-time, exempt position based in Long Beach, California.

Responsibilities:

• Define key performance metrics for each work center and design data systems to track and measure them effectively.
• Identify process bottlenecks and lead continuous improvement initiatives in partnership with manufacturing leaders and engineers.
• Conduct time and motion studies to establish process baselines and uncover efficiency opportunities.
• Maintain and update production floor plans, serving as the primary authority on floor space allocation and work center layouts.
• Provide actionable data and insights to hold teams and leaders accountable for delivery performance and operational goals.
• Act as a project management resource for manufacturing initiatives such as process qualifications, AS9100 certification, and general work center readiness.
• Facilitate regular (e.g., bi-weekly) production efficiency and schedule/rate review meetings with supply chain, quality, and manufacturing leadership to assess performance and drive corrective action.
• Support ad-hoc projects and operational challenges, providing flexible, hands-on problem-solving for the manufacturing organization.

Minimum Qualifications:

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or a related field.
• 3+ years of experience in a manufacturing or operations-focused industrial engineering role.
• Strong analytical skills with demonstrated experience in data collection, analysis, and reporting.
• Proven ability to lead process improvement initiatives, including bottleneck analysis and workflow optimization.
• Excellent project management skills with the ability to manage multiple priorities simultaneously.
• Strong interpersonal and communication skills with a track record of effective cross-functional collaboration.
• Knowledge of Lean Manufacturing and Six Sigma principles, with experience leading implementation.
• Experience using business analytics tools (e.g., Tableau, Power BI, SQL) and integrating data from multiple sources to support decision-making.

Preferred Skills & Experience:

• Lean or Six Sigma certification (Green Belt or higher preferred).
• Familiarity with AS9100 or other quality management systems.
• Experience maintaining and optimizing manufacturing floor plans and layouts.
• Proven ability to facilitate cross-functional meetings to drive operational performance and accountability.
• Prior experience supporting certifications, process qualifications, or other manufacturing readiness initiatives.
• Advanced proficiency in business analytics and data visualization, including integration of manufacturing and supply chain data systems.
• Experience utilizing time and motion analysis techniques, such as MOST.

Pay Range:

Senior Industrial Engineer: $104,960  - $148,992
Staff Industrial Engineer: $127,920 - $181,584
Principal Industrial Engineer: $170,560 - $242,112

THE ROLE

The Release Manager is a senior individual contributor position requiring a blend of technical depth, process discipline, and strong cross-functional coordination skills to ensure that software releases are planned, coordinated, and delivered efficiently, reliably, and with minimal disruption to business operations. Acting as the central point of control for release activities, this individual partners with development teams, environment owners, and network operations to manage the end-to-end release process from release planning  through deployment and post-release review.

WHAT YOU'LL DO

Release Planning & Coordination

• Establish and maintain release calendars across ERP (e.g., SAP, NetSuite), CRM (e.g., Salesforce, Logik), and integration tools (e.g., Boomi).
• Own and maintain the enterprise release calendar, aligning release timelines and environment maintenance with business priorities and technical readiness.
• Collate release scope, dependencies, and schedules across multiple applications, teams, and environments.
• Facilitate, go/no-go meetings, and cutover planning sessions.

Governance & Quality Assurance

• Ensure all releases meet defined entry/exit criteria, change control policies, and compliance requirements.
• Define and continuously refine release management standards, templates, and best practices.
• Maintain release documentation, including release notes, deployment plans, and rollback procedures.
• Establish and administer environment management governance, promotion criteria, and promotion governance practices
• Ensure runbooks for environment refresh and system deployment are in place and current for the individual platforms and the environments as a whole.

Execution & Risk Management

• In collaboration with individual platform and domain owners, oversee and coordinate deployment execution across environments (test, QA/SIT, pre-production, production).
• Identify, communicate, and manage release-related dependencies, risks, and issues. Develop and track mitigation and rollback plans as needed.
• Serve as the primary escalation point during release execution, ensuring timely resolution of blocking issues for deployments.

Collaboration & Communication

• Provide clear, consistent communication on release scope, schedule, and status to critical stakeholders including PMO, OCM, development teams, and business stakeholders.
• Collaborate with PMO and teams to ensure program plans and PI plans account for and are in alignment with the release calendar.
• Engage with business partners to ensure release plans, environment management plans, and overall release calendars include business-driven black-out periods and other key business events that can affect deployment and go-live of new releases.

Continuous Improvement

• Establish release-related metrics for success, including measures such as release success rates, deployment frequency, refresh cycle time, and change failure rates.
• Produce and distribute regular release dashboards and reports, including key release-related success metrics, upcoming releases and deployments, and environment maintenance.
• Partner with SRE, DevOps, and development teams to automate and streamline release processes.
• Conduct periodic reviews and drive continuous improvement initiatives to enhance release quality, reliability, and speed.
• Contribute to the evolution of CI/CD and environment management practices based on objective data and lessons-learned from release retrospectives and incident response.

• We are primarily an in-office environment and therefore, you will be expected to work from the {{OFFICE_LOCATION}} office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

Required

• Detail-oriented with strong analytical and problem-solving skills.
• Calm and decisive under pressure, able to quickly respond to issues and remediate problems
• Process-driven yet adaptable to agile and fast-moving delivery models.
• Previous experience managing release across multiple business applications CRM, ERP, HCM etc..
• Collaborative, proactive communicator who builds trust across technical and business teams.
• Excellent communication, organizational, and stakeholder management skills.
• Demonstrated ability to manage multiple concurrent releases under tight deadlines with minimal supervision.
• 8+ years of experience in release management, build/release engineering, or DevOps coordination in complex IT or high-tech product environments.
• Strong understanding of software development lifecycles (SDLC), agile methods, and ITIL release management principles.
• Proven experience coordinating cross-functional teams and developing governance structures
• Solid technical understanding of work planning tools (e.g. JIRA), CI/CD pipelines, source control (e.g., Git), and deployment automation tools (e.g., Jenkins, Azure DevOps, GitHub CI/CD).

Preferred

• Familiarity with cloud environments (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes)
• Familiarity with Observability platforms such as Datadog and Splunk
• ITIL Foundation or similar certification
• Working knowledge of Scaled Agile Framework and practices such as PI Planning
• Experience in regulated or large enterprise environments
• Experience working with ServiceNow for change management, CMDB and other functions

#LI-TH3,  #LI-ONSITE

THE ROLE

As a Senior Systems QA Engineer on the FlashArray team, you will be the final guardian of quality for the world’s most innovative, mission-critical storage portfolio. You’ll collaborate across Software Engineering and Support teams to ensure our customers experience 100% uptime while leveraging cutting-edge cloud integrations. Your mission is to bridge the gap between complex hardware-software stacks and seamless user experiences, driving the reliability that defines our brand.

WHAT YOU'LL DO

• Drive Release Integrity: Own the end-to-end qualification and strategy for major shipping releases, ensuring every update strengthens our reputation for "never-down" reliability.

• Architect Automated Resilience: Design and build sophisticated Python-based automation tools and frameworks to simplify integration workflows and eliminate manual testing bottlenecks.

• Engineer System Reliability: Lead the triage and root-cause analysis of complex failures across multi-machine stacks, collaborating with Escalation teams to resolve high-impact customer scenarios.

• Innovate Test Strategy: Define comprehensive test plans for next-generation storage features—including high availability and cloud-native applications—to identify corner cases before they reach production.

• Optimize Performance: Analyze I/O paths, latency, and throughput trade-offs to ensure our products outperform industry standards in real-world customer workloads.

• We are primarily an in-office environment and therefore, you will be expected to work from the Santa, Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Storage Ecosystem Expertise: Deep technical command of the storage stack (RAID, Deduplication, NVMe, iSCSI) and virtualization technologies like VMware, Hyper-V, or OpenStack.

• Automation Mastery: Advanced proficiency in Python and a proven track record of building automated test suites that scale across complex hardware/software environments.

• Systems Architecture Fluency: A comprehensive understanding of operating systems (Linux/Windows), file systems, and how customer workloads interact with block storage.

• Analytical Problem Solving: The ability to deconstruct intricate system failures, perform rigorous root-cause analysis, and design creative testing scenarios for high-availability clusters.

• Collaborative Communication: A natural curiosity and the ability to articulate technical challenges and solutions clearly to cross-functional engineering and support partners.

MUST HAVE

• Knowledge of Storage stack: high availability, caching, flash drives, RAIDs, dedup/compression etc. 

• Interoperability testing; firmware updates; backwards compatibility; upgrade paths; deployment with customer‑use cases

• Experience working in hardware labs or data centers with Storage arrays

• Knowledge of storage protocols such as Fibre Channel, FCoE, iSCSI, NVMe, SCSI, NFS, SMB

We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

 #LI-ONSITE

About this opportunity:

The Supplier Quality Specialist III/IV plays an integral role in supporting quality activities related to Supplier Management in accordance with FDA, ISO, and other IVD regulations. This individual also supports the company’s quality system activities that comply with the FDA’s Quality System Regulation 21 CFR § 820 and ISO 13485 as well as CLIA, CAP, and applicable state requirements. In this role you will facilitate the supplier compliance program (external audits, drive improvement in supplier performance, supplier development, supplier selection and qualification). In addition, this role will support the quality assurance activities in partner development as needed. 

What you’ll do:

• Maintain the approved supplier list and supplier audit schedule
• Drive compliance with applicable quality management system requirements, engaging in supplier corrective actions as needed
• Conduct external and internal quality audits to identify potential areas of risks and drive continuous improvement
  
• Lead establishing quality agreements with critical suppliers, and quality of supplier records
  
• Actively participate in supplier quality related communication and feedback.
  
• Lead the processing of supplier change notifications 
  
• Engage directly with Freenome suppliers to drive quality and process improvements in order to continuously improve the quality of product and services received
  
• Maintain supplier non-conformances to closure and effectiveness review, working with impacted departments
  
• Maintain organized records that demonstrate compliance to all company processes, regulations, and the company’s QMS
  
• Support routine Quality processes such as document control, employee training, investigating non-conformances, quality metrics, etc.

Must haves:

• Minimum of a Bachelor's degree in a life science field (genetics or molecular biology preferred) or equivalent experience
  
• 5+ years of experience in manufacturing operations, clinical laboratory operations, quality, or supplier quality
  
• ISO 13485 certified Lead Auditor or Certified Quality Auditor (CQA)
  
• Effective problem solving skills and ability to identify, analyze and solve problems with minimal direction and escalate concerns to management
  
• Proficiency in Word, Excel, PowerPoint or Google Workspace and experience with document management systems and document sharing systems
  
• Ability to prioritize and multitask while maintaining a positive and collaborative attitude
  
• Experience with both internal audits or external audits
  
• Effective verbal and written communication skills and ability to share and receive information from all levels of the organization throughout various departments
  
• Excellent teamwork skills and the ability to interface effectively with a wide range of stakeholders
  
• Flexibility to successfully balance and prioritize multiple ongoing projects/tasks in a fast-paced, deadline driven environment
  
• Drive for results and continual improvement
  
• Travel 10 - 30% domestically and potentially internationally, potentially more as needed
  

Nice to haves:

• Certified Quality Engineer, CQE (ASQ)
• Experience in quality system methodologies including but not limited to CAPA, Lean, 5 Why's, Pareto Analysis, Six Sigma
• Experience with statistical process control (SPC) techniques to evaluate and improve process performance
• Experience with process validations
  

Additional information:

Contractors may be hired through a third-party provider and will be considered contingent workers. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal opportunity employer and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.  

• Family & Medical Leave Act (FMLA)
• Equal Employment Opportunity (EEO)
• Employee Polygraph Protection Act (EPPA)

#LI-HYBRID

Why Join Alo?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

Overview

We seek a highly skilled and motivated Senior Network Engineer to join our dynamic IT team. As a Senior Network Engineer, you will be responsible for designing, implementing, and managing our network infrastructure while ensuring the highest security, reliability, and performance levels. The ideal candidate should possess a strong background in layer 2 and 3 network design and protocols, with experience in NGFW management, SDWAN technologies, and cloud networking. Additionally, this role is essential for automation scripting expertise and the ability to work flexible hours, including rotational shifts and occasional change windows. 

Senior Network Engineer Skills and Experience Required

• Layer 2 and 3 network design and protocols (OSPF, BGP, MPLS) 
• Extensive Experience with Cisco and Meraki Networking Hardware. (Switches, Access Points, Firewalls, Gateways, IOSXe)  
• Experience with change control and incident management processes
• Experience with NGFW Design, Management, Configuration, Segmentation and Hardening. (Foritnet, PAN) 
• Experience with SDWAN Technologies (Fortinet) 
• Network infrastructure services (DNS, DHCP)  
• User and site-to-site VPN (IPsec, SSL)
• Networking of Azure Cloud and AWS Cloud Environments
• Automation Scripting Experience (Teraform, Chef, Python)
• Wireless networking design and protocols 
• Experience with NAC Technologies (Clearpass, Cisco ISE) 
• Work rotational shifts and occasional change windows during evenings and weekends

Day to Day Responsibilities

• Hardware preventive maintenance (fixes).
• Ensure all trouble tickets are detailed and completed accurately. 
• Investigates and presents creative and cost-effective solutions for networking to Retail stores, corporate systems, and other global locations 
• Provides support for Corporate and store networking projects. 
• Consult with Retail Operation users concerning networking designs, connectivity, and support issues. 
• Assist in or resolve (escalated) technical incidents. 
• Establish and maintain effective communications and relationships with other IT teams and business units. 
• Stay informed of current technologies in order to support the business. 
• Develop, improve, and enforce disciplines, policies, procedures, and practices aimed at ensuring system availability, efficient & responsive service delivery, cost effectiveness, technology value and overall client satisfaction. 

Technology Responsibilities: 

• Next-Generation Firewall (NGFW) Management: Configure, monitor, and maintain NGFW systems (Fortinet, PAN) to enhance network security and prevent potential threats. 
• SDWAN Technologies: Implement and optimize SDWAN technologies to improve network performance and reduce operational costs. 
• Network Infrastructure Services: Deploy and manage network infrastructure services, including DNS and DHCP, to ensure seamless connectivity for users and devices. 
• VPN (Virtual Private Network) Solutions: Configure and manage user and site-to-site VPNs using IPsec and SSL for secure remote communication. 
• Cloud Networking: Integrate and manage networking in a multi-cloud environment, facilitating efficient cloud-based services. 
• Automation Scripting: Develop automation scripts using Terraform, Ansible, Chef, and Python to streamline network provisioning and enhance operational efficiency. 
• Wireless Networking: Design and implement wireless networking solutions, ensuring reliable and high-speed connectivity for end-users. 
• Network Design and Protocols: 
• Design and implement robust layer 2 and layer 3 network configurations, including OSPF, BGP, and MPLS routing protocols. 

• Optimize network performance and scalability to support the organization's evolving needs. 
• Change Control and Incident Management: 
• Lead change control processes to ensure smooth, seamless network operations with minimal service disruptions. 
• Manage and resolve network-related incidents promptly and efficiently. 
• Troubleshooting and Solutions Development: Investigate network-related issues and propose creative and cost-effective solutions for Retail stores, corporate systems, and other global locations. 
• Project Support: Provide technical support for Corporate and store networking projects, ensuring successful project implementation. 
• Effective Communication and Collaboration: Establish and maintain strong communications and relationships with other IT teams and business units. 
• Continuous Learning: Stay informed about current technologies and industry trends to provide up-to-date support and solutions. 
• Process Improvement: Develop, improve, and enforce disciplines, policies, procedures, and practices to ensure system availability, efficient & responsive service delivery, cost-effectiveness, technology value, and overall client satisfaction. 

Qualifications: 

• Bachelor's degree in Computer Science, Network Engineering, or a related field. Equivalent experience is also acceptable.  
• Experience in network engineering roles focusing on layer 2 and 3 network design and protocols. 
• Strong knowledge of NGFW management and configuration and SDWAN technologies. 
• Proficiency in network infrastructure services, user and site-to-site VPNs, and cloud networking, 
• Experience with automation scripting using Terraform, Chef, and Python. 
• Familiarity with wireless networking design and protocols. 
• Demonstrated ability to work rotational shifts and occasionally change windows during evenings and weekends. 
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration abilities.
• Relevant certifications (e.g., CCIE, CCNP, Fortinet NSE, AWS Certified Solutions Architect) will be advantageous. 

The base salary range for this position is $130,000-$180,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits

OVERVIEW

The Distribution Systems Lead is a critical role responsible for managing and evolving the company’s Warehouse Management Systems (WMS), ERP integrations, and distribution technology platforms. This role will serve as the bridge between Technology and Operations, ensuring business-critical systems are stable, scalable, and continuously optimized. The Distribution Systems Lead partners closely with Tech leadership, business stakeholders, and 3PL partners to deliver strategic initiatives, oversee incident response, and mentor a growing team of analysts and system/function owners.

RESPONSIBILITIES

• Lead mid-sized ERP, WMS, and Distribution initiatives end-to-end, including solution design, project execution, and post-go-live support.
• Engage with technology and business stakeholders to clarify needs, challenge assumptions, propose effective solutions, and align resources.
• Mentor and coach Business Analysts, establishing standardized processes for root cause analysis, incident management, and solution delivery.
• Own the Distribution Systems development workstream, including prioritization, CAB participation, and implementation oversight.
• Act as the primary escalation point for WMS/Distribution incidents, ensuring timely resolution and stakeholder communication.
• Reduce reliance on executive leadership by independently handling strategic project leadership, solution design, and cross-functional pushback when appropriate.
• Provide operational technology expertise for both Tech and Business functions, eliminating bottlenecks and accelerating delivery.
• Lead knowledge transfer, documentation, and discovery efforts to ensure smooth collaboration with Architecture, Development, and Business teams.
• Manage and develop a team, including current Business Analysts and system support staff, fostering growth and capability-building.
• Partner with the 3PL Tech Lead and cross-functional teams to drive DC site and function expansion, including store replenishment and returns processing.

QUALIFICATIONS

• Bachelor’s degree in Information Systems, Supply Chain, Operations Management, or related field; advanced degree preferred.
• 6-8+ years of experience in distribution technology, supply chain systems, or ERP/WMS implementation and support.
• Proven experience mentoring technical or functional teams in distribution or logistics technology.
• Strong knowledge of WMS platforms, ERP integrations, and distribution operations processes.
• Demonstrated success in delivering cross-functional technology initiatives and leading change management.
• Exceptional problem-solving skills with the ability to design scalable, efficient solutions.
• Strong interpersonal and communication skills, capable of influencing stakeholders and coaching team members.
• Experience with 3PL partnerships and managing integrations with third-party logistics providers preferred.

The base salary range for this position is $175,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We are seeking a motivated and technically strong intern to join our Corporate Systems tech team. As our Engineering, HR/Payroll Systems Intern, you will support the team and the business as we approach the transformation of our Payroll systems. You will have exposure to how we approach Business Process engineering, solution requirements and design for our internal systems.

The Alo internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Apply theoretical learnings from your academic study and develop skills to support a future career in HR systems
• Work with the HR & Payroll Business team in the capacity of a Technical Analyst/Engineer
• Document functional requirements for key projects assigned
• Partner with Developers and Engineers to create prototypes and functional design solutions
• Create Pseudo Algorithms
• Write Business use case and functional requirements for new features
• Develop code/programs in ERPs such as Oracle Fusion and FDM4
• Create test scenarios and success criteria for functional solutions
• Lead or assist on projects using a hands-on approach
• Build Interfaces and develop code for new functionality or able to write functional flow

QUALIFICATIONS

• Currently pursuing or recently completed a degree in Computer Science
• Good knowledge of programming languages such as JAVA, SQL & PL/SQL, PYTHON or C - OR - Good knowledge of financial processes, accounting procedures and financial applications. College subjects should cover financials topics
• Proficient in Microsoft Office Power Point, Excel, Visio, Lucid Charts, google docs
• Excellent written, verbal and listening skills
• Learn from the best by interacting with a dynamic team of professionals
• Ability to document requirements and keen attention to details
• Ability to speak in front of groups that include both business and IT partners

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

Overview

• We’re seeking an experienced Lead Engineer to design, build, and deliver core Retail Store systems that power Alo’s in-store and omnichannel experiences.

• This role will be hands-on and technical, owning the design and delivery of store-facing applications including POS, OMNI order fulfillment by stores, and inventory receiving.

• International store expansion will be a key responsibility, alongside ongoing enhancements and reliability of domestic and global store systems.

• Work closely with Product, Retail Operations, ERP, and external partners to deliver scalable, reliable, and pragmatic solutions for real-world store environments.

• Requires deep technical expertise, strong system design skills, and ownership mindset for store-critical platforms.

Responsibilities

• Lead the technical design and implementation of store systems including POS, OMNI fulfillment (ship-from-store, BOPIS, cancellations, returns), and inventory receiving.

• Act as a hands-on technical lead, setting architecture, coding standards, and best practices across the team.

• Translate business and operational requirements into scalable, resilient, and maintainable technical solutions.

• Contribute directly to development using Java, Python, NodeJS, and React across backend and frontend systems.

• Design and build integrations with Shopify, ERP, OMS, loyalty platforms, and third-party vendors.

• Support international store expansion by deep diving into localization, regional compliance, taxation, and operational requirements for new countries.

• Ensure systems work effectively in physical retail environments, including POS hardware, peripherals, and unreliable network conditions.

• Collaborate closely with store managers and store teams to understand operational pain points and deliver pragmatic, easy-to-adopt solutions.

• Partner with Retail Operations and Product on rollout planning, training support, and adoption of new store-facing features.

• Design and operate event-driven and distributed systems using Kafka, ensuring idempotency, retries, and eventual consistency.

• Own service reliability for store systems by defining SLOs, improving error rates, and reducing MTTR.

• Build and maintain monitoring, alerting, and observability using tools such as Splunk and New Relic.

• Participate in on-call rotations, incident response, root-cause analysis, and post-incident improvements.

• Plan and execute for peak retail events (promotions, holidays, store launches) and support change discipline during critical windows.

• Drive best practices for testing, CI/CD, release management, and infrastructure-as-code.

• Ensure data accuracy, auditability, and reconciliation across inventory, order, and financial systems.

• Maintain strong security, access controls, and compliance standards for systems used in physically accessible store environments.

• Mentor junior engineers through technical guidance, code reviews, and design discussions.

Qualifications

• 7+ years of software engineering experience, with experience leading technical design and delivery for complex systems.

• Strong domain experience in Retail systems, store operations, and omnichannel commerce.

• Experience delivering store-facing systems such as POS, inventory receiving, and order fulfillment.

• Proficiency in Java, Python, and NodeJS; experience building backend services using Spring.

• Experience with frontend development using React.

• Hands-on experience integrating with Shopify and other retail platforms.

• Strong experience with relational and NoSQL databases including Oracle DB, MySQL, and DynamoDB.

• Experience designing and operating event-driven architectures using Kafka.

• Strong understanding of distributed systems concepts including retries, idempotency, eventual consistency, and transactional patterns.

• Experience with monitoring, logging, and alerting using tools such as Splunk and New Relic.

• Experience owning production reliability, incident response, and operational metrics.

• Proficiency with build and configuration tools such as Maven, Ant, and YAML.

• Experience with source control and collaboration using GitHub.

• Hands-on experience with containerization and orchestration using Docker and Kubernetes.

• Experience deploying and operating systems in AWS, including SAM and Terraform.

• Understanding of payment processing, settlement, taxation, and country-specific compliance considerations.

• Experience with omnichannel retail workflows including store fulfillment, ship-from-store, BOPIS, split shipments, cancellations, and returns.

• Strong ownership mindset with accountability for technical quality and business outcomes.

• Data-driven problem solver with pragmatic engineering judgment.

• Excellent cross-functional collaboration and communication skills.

• Comfortable operating in fast-paced, imperfect retail environments where store impact is critical.

The base salary range for this position is $175,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

We are seeking a motivated and technically strong intern to join our Corporate Systems tech team. As our Software Engineering, Finance Systems Intern, you will support the team and the business as we approach the transformation of our ERP (Employee Resource Planning) systems. You will have exposure to how we approach Business Process engineering, solution requirements and design for our internal systems.

The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.

RESPONSIBILITIES  

• Apply theoretical learnings from your academic study and develop skills to support a future career in Financial systems
• Work with the Finance Business team in the capacity of a Technical Analyst/Engineer
• Document functional requirements for key projects assigned
• Partner with Developers and Engineers to create prototypes and functional design solutions
• Create Pseudo Algorithms
• Write Business use case and functional requirements for new features
• Develop code/programs in ERPs such as Oracle Fusion and FDM4
• Create test scenarios and success criteria for functional solutions
• Lead or assist on projects using a hands-on approach
• Build Interfaces and develop code for new functionality or able to write functional flow

QUALIFICATIONS

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science
• Good knowledge of programming languages such as JAVA, SQL & PL/SQL, PYTHON or C - OR - Good knowledge of financial processes, accounting procedures and financial applications. College subjects should cover financials topics
• Proficient in Microsoft Office Power Point, Excel, Visio, Lucid Charts, google docs
• Excellent written, verbal and listening skills
• Learn from the best by interacting with a dynamic team of professionals
• Ability to document requirements and keen attention to details
• Ability to speak in front of groups that include both business and IT partners

The base pay range for this position is $45/hr-$50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.

OVERVIEW

Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You’ll build intelligent systems that power personalization, content generation, computer vision, and decision automation.

We’re looking for a hands-on AI Engineer who loves to build. You’ll design and deploy bespoke, high-impact AI solutions that stretch across product design, marketing, supply chain, customer experience, and engineering. Some projects will be fast-turnaround proofs of concept; others will grow into scalable internal platforms. You’ll balance the art of creative experimentation with the discipline of technical rigor—knowing when to build from scratch and when to leverage what already exists.

RESPONSIBILITIES

• Build bespoke AI solutions to accelerate business outcomes—anything from product image generation to conversational assistants or process automation.

• Prototype rapidly using APIs, open models, and cloud-native services to validate ideas and demonstrate value.

• Design for scale—transition ad hoc experiments into maintainable, production-grade systems or reusable components.

• Evaluate external AI platforms and tools for integration potential, cost, and business fit.

• Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.

• Implement responsible AI practices that ensure transparency, fairness, and explainability across applications.

• Mentor and coach peers in practical AI adoption and experimentation.

QUALIFICATIONS

• 10+ years of experience in a data or software engineering field.

• MS or PhD in Artificial Intelligence, Machine Learning, or Data Science.

• Equal parts builder, hacker, and architect—you can ship a working demo in a day but think in systems that can scale for years.

• Comfortable working without a map—you thrive in ambiguity and see constraints as creative opportunities.

• Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.).

• Strong grasp of ML fundamentals (classification, NLP, computer vision, embeddings) and practical data engineering.

• Experience in integrating AI into business workflows—e.g., automating content generation, demand forecasting, or intelligent search.

• Naturally curious about the intersection of human creativity and artificial intelligence, and driven by impact, not novelty.

• Experience in implementing / developing model evaluation frameworks.

Why ALO 

Join a team shaping the intersection of wellness, fashion, and technology. At ALO, data isn’t just numbers—it’s the heartbeat behind immersive experiences, purposeful products, and global community connection.

The base salary range for this position is $180,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships.

**This role follows a hybrid model requiring two days per week in our San Francisco office.**

Opportunity

This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment.

What you’ll be doing 

• Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment.
• Develop and implement frameworks and toolings for our Universal Directory Service platform.
• Design and implement high-performance distributed scalable and fault-tolerant software components.
• Quickly deliver high-quality bug fixes and handle customer-reported issues.
• Conduct quality code reviews and automated testings.  
• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

What you’ll bring to the role

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.
• 7+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot. 
• 5+ years of development experience building services, internal tools and frameworks.
• 3+ years experience automating and deploying large scale production services in AWS, GCP or similar.
• Hands-on understanding with the practical application of SQL databases.
• Experience working with systems of scale ranging from monolithic applications to microservices.
• Ability to work effectively with distributed teams and people of various backgrounds.

And extra credit if you have experience in any of the following! 

• B.S. Computer Science or equivalent
• Experience with the Go programming language.
• Experience of PostgreSQL, Docker and Kubernetes.
• Experience working with Active Directory or Microsoft Azure.

P17918_3419596

#LI-TM

#Hybrid

#LI-Onsite 

Who We Are:

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

About the Role:

We're looking for a Senior Telemetry Design Engineer to design the telemetry specs and frameworks that power our AAA games from early development through live operations. Operating within Central Services, you will bridge the gap between our Business and Technical Data teams. Your main goal: translate high-level business strategies into clear, actionable telemetry designs. By ensuring every data point we collect is tied to a specific business outcome, you'll empower our publishing and creative teams to drive growth and craft exceptional player experiences.

What You Will do:

• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.

What You Need:

• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.

Bonus Points:

• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for employees in regular roles may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits, provided that temporary or intern roles will not be eligible for many of these payments or benefits. Details of participation in compensation and benefit plans (if applicable) will be provided if an employee receives an offer of employment. If hired, employee will be in an ~at-will position~ and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

Vast is looking for a Staff Acoustic Engineer, reporting to the Director, Life Support Systems to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Perform acoustic and aeroacoustic modeling of spacecraft systems and habitable environments
• Identify and characterize noise sources including pumps, fans, compressors, valves, and fluid systems
• Analyze sound propagation and transmission paths within pressurized spacecraft modules
• Develop predictive models for cabin acoustic levels and sound distribution
• Perform computational aeroacoustic (CAA) analysis for fluid-driven noise sources
• Define acoustic requirements and performance targets for spacecraft subsystems
• Lead various design teams in developing noise mitigation strategies, including source reduction, acoustic treatments, and system layout changes
• Conduct acoustic testing and measurements using microphones, arrays, and specialized instrumentation
• Process and interpret acoustic data to validate analytical models and guide design improvements
• Support integrated vehicle testing and verification of acoustic requirements
• Collaborate with ECLSS, fluids, thermal, avionics, structures, and systems teams to improve acoustic performance across the station

Minimum Qualifications:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Acoustics, or a related field
• 5+ years of experience in acoustics, aeroacoustics, or environmental noise analysis
• Strong background in acoustic theory, wave propagation, and sound measurement
• Experience modeling and analyzing airborne noise and acoustic environments
• Experience with acoustic instrumentation and data analysis
• Experience in design of acoustic mitigation components. Resonators, acoustic damping materials
• Proficiency in MATLAB, Python, or similar tools for signal processing and acoustic analysis
• Experience modeling and analyzing airborne noise and acoustic environments
• Experience with acoustic instrumentation and data analysis
• Experience in design of acoustic mitigation components. Resonators, acoustic damping materials
• Proficiency in MATLAB, Python, or similar tools for signal processing and acoustic analysis

Preferred Skills & Experience:

• Master’s or PhD in Acoustics, Aeroacoustics, Aerospace Engineering, or Mechanical Engineering
  Experience with computational aeroacoustics (CAA) or acoustic CFD methods
• Experience with tools such as Actran, LMS Virtual.Lab, VA One, STAR-CCM+, Fluent, OpenFOAM, or similar
• Experience with cabin acoustics, habitable environments, or environmental noise control
• Experience working with fans, pumps, ducting, ventilation systems, or fluid-generated noise
• Experience performing acoustic test campaigns and measurement programs
• Familiarity with spacecraft, aircraft, or other complex integrated systems

Additional Requirements:

• Willingness to work overtime, or weekends to support critical mission milestones
• Ability to lift up to 25lbs unassisted
• Specific certifications, as appropriate