We want people who are passionate about troubleshooting complex problems with systems, networking and storage at scale.

We are looking for a seasoned system administrator to help us keep the cloud running smoothly. Reporting to the manager of Cloud Operations, the GPU Operations Engineer monitors and provides first-response to all cloud health issues that impact, or could potentially impact, customer experience - internal or external. You will interface with teams across the organization to research and troubleshoot issues from single droplets to cloud-wide disturbances. Our workweek spans five days, and that may involve working on weekends.

What You'll Be Doing: 

• Ensuring maximum uptime for our global infrastructure
• Automating processes and building tools to improve operational efficiency
• Coordinating operational work across teams to improve the platform with minimal impact

What You'll Add to DigitalOcean:

• Solid experience with Linux operating systems or Networking and day to day upkeep
• Familiarity with virtualization technologies and troubleshooting virtual machine instances
• Familiarity with containerization technologies and troubleshooting containers
• Familiarity with IPv4 Networking and troubleshooting (CCNA equivalent)
• Basic storage concepts and technologies
• Experience with monitoring systems and incident management
• Experience scripting in one or more of the following languages: Bash, Python, or Go
• Experience with GPU hardware or AI/ML, and Kubernetes
• A passion for good documentation and open communication
• Proven ability to learn!

Compensation Range: 

• $107,000 - $134,000

*This is a hybrid role

JR: 2026-7423

#LI-Hybrid

What We’re Looking For

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

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

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

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

What You’ll Do

Observability Platform & Productization

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

Telemetry & Data Pipelines

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

Alerting, Reliability & Insights

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

Systems & Infrastructure Engineering

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

Cross-Functional Collaboration

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

What You’ll Need

Required Qualifications

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

Ideal Experience

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

Compensation

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

ABOUT THE TEAM

Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.

Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.

THE ROLE

This role is for a versatile engineer who thrives in a fast-paced, cross-functional environment with a different challenge every day. The Sim Integrations sub-team is the connective tissue between the simulation platform and the programs that depend on it. You'll take program simulation requirements, understand the delta against existing capabilities, build clear action plans, and own those plans to completion, including responsibility for positive customer and program feedback. The work moves fast and the priorities are real, but so is the impact: the simulation environments you deliver directly enable teams to develop, validate, and field autonomous systems.

You'll work across the full breadth of TRS products and programs, interfacing with program managers, autonomy engineers, systems engineers, operators, and customers. No two weeks look the same: one week you might be standing up a new simulation environment for a field exercise, the next you're debugging a network configuration across a distributed sim, and the next you're wrangling integration issues across multiple program deliverables. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. If you're a jack-of-all-trades who loves thinking on your feet and making other teams successful, this is your role.

WHAT YOU'LL DO

• Serve as the primary simulation point of contact for TRS programs, translating program-specific simulation requirements into actionable technical plans and owning delivery end-to-end.
• Identify deltas between existing simulation capabilities and program needs, then coordinate across Sim Infrastructure, Sim Fidelity, and functional engineering teams to close those gaps.
• Configure, extend, and validate simulation environments across the full stack, from autonomy and sensor configurations to networking and deployment infrastructure.
• Support field events, customer demos, and program milestone deliverables with hands-on simulation expertise and rapid troubleshooting.
• Collaborate with program managers and systems engineers to align simulation fidelity levels with program priorities, using our team's fidelity rubric to drive investment where it has the most impact.
• Develop reusable patterns and documentation so that program-specific solutions feed back into the platform and reduce the cost of the next integration.
• At the senior level: manage the portfolio of active program simulation engagements, drive cross-program prioritization, and mentor other engineers on integration best practices.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 3+ years of professional software engineering experience in an industry setting, with hands-on delivery of software to internal or external customers.
• Proficiency across multiple programming languages (C++, Python, Bash) with the versatility to pick up whatever the problem demands.
• Strong Linux/Unix fundamentals: comfortable navigating systems, debugging across layers of the stack, and working in terminal-driven workflows.
• Working understanding of networking concepts (protocols, routing, network debugging) sufficient to troubleshoot distributed simulation environments.
• Comfortable with the professional software development lifecycle from start to finish.
• Experience working directly with customers, program teams, or stakeholders to translate requirements into delivered capabilities.
• Demonstrated ability to manage multiple concurrent workstreams, prioritize effectively, and deliver under real deadlines.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience managing a portfolio of deliverables across multiple programs or customers simultaneously.
• Track record of mentoring engineers and establishing repeatable processes that scale beyond a single person.

PREFERRED QUALIFICATIONS

• Experience with simulation frameworks, real-time systems, or robotics platforms.
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Experience with NixOS or declarative system configuration.
• Familiarity with field deployment, customer demos, or operational support for software systems.
• Experience creating or maintaining software-in-the-loop (SITL) test environments.
• Ability to context-switch effectively across diverse technical domains without losing quality.
• A bias toward rapid delivery and iteration.

ABOUT THE TEAM 

ISSOs help shape classified, closed, or air gapped environments in which to deploy Anduril products or software. Well versed in a combination of Information Technology, Security and government accreditation processes, ISSOs are able to utilize their sharp critical thinking skills to balance Business Line needs, product velocity, and customer requirements.

ABOUT THE JOB 

WHAT YOU’LL DO

• Provide expertise in documenting security controls that apply to respective systems to meet cybersecurity framework requirements..
• Perform required security functions on an iterative basis to meet requirements and deliver results.
• Apply technology standards from the commercial space in classified, air-gapped environments.
• Assist the ISSM, fellow ISSOs, and other members of the Classified Infrastructure team to understand key stakeholders’ needs and provide complex technical solutions to meet contractual obligations.
• Tailor NIST 800-53 controls to determine applicability to the network environment and oversee the implementation of Continuous Monitoring for respective programs.
• Define, document, and conduct security scanning on Anduril’s products and accredited information systems.
• Scope, shape, and orchestrate the development of features to ensure products meet compliance goals.

REQUIRED QUALIFICATIONS

• Design, develop, and implement secure systems and networks per NIST RMF, JSIG, and other industry standards.
• Participate and assist in security risk assessments, vulnerability assessments, and audits to identify and mitigate threats.
• Speak to and recommend security solutions, such as IDS/IPS, encryption protocols, and secure communications technologies.
• Develop and enforce access controls, encryption strategies, and other technical measures to safeguard systems.
• Maintain and update System Security Plans (SSPs), POA&Ms, and other accreditation documentation.
• Manage the organization’s security posture, ensuring compliance with internal policies and external regulatory frameworks.
• Participate in the Authorization and Accreditation (A&A) processes to obtain/maintain system Authority to Operate (ATO).
• Able to assist, even lead, incident response efforts, including investigation, root cause analysis, containment, and reporting.
• Conduct regular audits, continuous monitoring, and risk assessments to ensure ongoing compliance and system resilience.
• Collaborate with government security officials, stakeholders, and teams to address security gaps and improve controls.
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with industry standard tools such as Splunk, DISA STIGs, and SCC.
• The ability to understand programming/scripting languages, i.e. Python, Powershell, Bash
• An understanding of Linux Red Hat operating systems and SELinux policy.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

We want people who are passionate about optimizing and troubleshooting data center hardware at mega-scale so our customers don’t have to worry!

Reporting to the Manager of Infra::Machines::Design, you will support sustaining engineering efforts for the hardware infrastructure of the DigitalOcean server fleet. The ideal candidate will be eager to face new challenges as DigitalOcean continues to scale its data center footprint and infrastructure cloud capacity and explore new technologies and capabilities to bring to our customers, providing top-tier support for our hardware and firmware in the DO fleet.

What You’ll Be Doing:

• Act a member of the Sustaining Engineering team in the Infra::Machines::Design Organization
• Support server hardware, cabling, and networking hardware throughout its operational lifecycle 
• Monitor the #machines channel and MACHINES JIRA project for issues and drive them to resolution
• Participate in 24/7 on-call rotation with other members of the team
• Act as Tier 2 escalation for Datacenter Operations (DCOPS) and Cloud Operations (CloudOps) regarding hardware and firmware components
• Develop and maintain standards and practices for DigitalOcean hardware operations 
• Work closely with the Qualification team, Firmware team, Fleet Lifecycle Engineering team (FLE), Foresight team, and Infrastructure Services team to resolve issues in tooling, firmware packages, hardware components, and other operational concerns
• Help with development of tooling and associated runbooks to address gaps in operational capabilities around hardware and firmware operations
• Coordinate with Ops teams on monitoring thresholds, failure modes and alerting
• Assist in troubleshooting cause of failures and work to prevent them in the future 
• Raise the quality bar in the delivery of our cloud infrastructure by identifying industry best practices and working to adopt them

What We’ll Expect From You:

• Technical Degree (BS Computer Science/Engineering) or equivalent practical experience 
• Hands-on experience operating a cloud infrastructure at mid-tier scale or better
• An in-depth understanding of server hardware, firmware, and infrastructure
• Strong knowledge in troubleshooting techniques, Python and BASH
• Extra points for JTAG debugging / Firmware troubleshooting / Wire sniffing experience
• Clear communication and collaboration across key stakeholders 
• An insatiable passion for constant improvement

Compensation Range: 

• $83,000 - $104,000

*This is a hybrid role

JR: 2026-7565

#LI-Hybrid

We want people who are passionate about solving complex cloud infrastructure challenges for our customers.

We are looking for a Solutions Architect with expertise in cloud infrastructure to support the success and retention of DigitalOcean's high-value customers. Reporting to the Manager of Solutions Architecture, you will work directly with Customer Success, Sales, and Support functions to retain and grow DigitalOcean’s largest and fastest growing customers. You will be the technical subject matter expert on DigitalOcean’s portfolio, advising on best practices and guiding customers to the optimal solution to meet their business objectives. You will work closely with other functions within DigitalOcean such as Product, Engineering, and Operations to ensure the needs and insights from the local markets are funneled appropriately back into DigitalOcean's products and services.

This is an amazing growth opportunity for a highly motivated individual to establish and expand our presence within the region. Technical depth, excellent communication skills, and a self-starter mentality are needed.

 What You Will Be Doing: 

As a Senior Solutions Architect II, you will serve as a technical partner to the success and sales teams. You will perform architecture reviews, proof of concepts, demos, uncover customer technical needs, and demonstrate DigitalOcean's value proposition. Working with AEs, GAM and TAM counterparts, you'll help retain large customers and expand their workloads on DigitalOcean.

• Develop deep expertise in the DigitalOcean product portfolio, the evolving cloud landscape, and AI/ML platforms.
• Advocate for customers by providing feedback to product teams, overcoming adoption blockers, and driving new feature development.
• Offer personalized onboarding assistance and guide customers through their cloud journey, resolving technical blockers.
• Design and review architecture tailored to specific business use cases, ensuring optimal solutions for customers.
• Implement and oversee infrastructure management best practices to secure and optimize cloud resources.
• Identify opportunities for cost reduction and performance improvement, helping customers make data-driven cloud optimization decisions.
• Conduct technical consultation sessions, workshops, and training for customers to empower them in managing cloud infrastructure.
• Partner with Growth Account Managers and Customer Success Managers to create success plans that ensure customer retention, expansion, and satisfaction.
• Provide regular presentations articulating product benefits, functionality, and technical solutions.
• Demonstrate strong expertise in AI/ML frameworks like TensorFlow and PyTorch and usage of platforms like Hugging Face, with experience deploying and fine-tuning LLMs and GenAI models.
• Optimize GPU workloads using CUDA or TensorRT and build scalable AI applications like chatbots, inference services or recommendation systems using Kubernetes and NFS.
• Design AI solutions tailored to business needs, manage data pipelines, and integrate databases.
• Liaise with Engineering and Support teams to resolve escalations and growth obstacles in a timely fashion.
• Identify and drive process improvement opportunities and promote technical best practices across the organization.
• Contribute to internal and external documentation, such as "The Navigator’s Guide to DO."
• Build tools to enhance the experience of Premium Support customers and improve platform usability.
• Demonstrate proficiency in DevOps tools like Docker, Terraform, and CI/CD pipelines.
• Leverage expertise in Kubernetes, Managed DBaaS, and the DigitalOcean GenAI Platform.
• Work both independently and collaboratively with a global team of Solutions Architects, Customer Success Managers, and Account Managers.

What We'll Expect From You:

• Proven professional experience with cloud infrastructure, AI/ML platforms, or equivalent education.
• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with platforms like Hugging Face.
• Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models.
• Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU optimization techniques (e.g., CUDA, TensorRT).
• Hands-on experience leveraging vllm and various quantization methods (e.g., INT4, INT8, and FP8) for efficient model deployment.
• Programming/development experience, particularly in building AI-powered applications (e.g., recommendation systems, chatbots).
• Experience working in a post-sales or technical consultant role with a focus on AI/ML and cloud solutions.
• Knowledge of provisioning, deployment strategies, and tools like Terraform, Kubernetes, and Docker.
• Passionate about customer experience and leveraging AI/ML to solve complex business problems.
• Track record of developing successful technical solutions, including AI/ML use cases, to address customer challenges.
• Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations.
• Strong understanding of AI/ML data pipelines, cloud-native databases, and integration strategies.
• Passionate about technology, open source projects, and applying cutting-edge AI/ML innovations.
• Strong communication skills, with the ability to explain technical AI/ML concepts in clear and concise terms.
• Quickly learn DigitalOcean systems and adapt to rapid changes in cloud and AI/ML trends.
• Fluency in English.
• Highly motivated with a self-starter mentality, ready to tackle AI/ML challenges head-on.

Extra Credit: 

• Cloud certifications are highly desirable (AWS/GCP/Oracle/Azure)
• NVIDIA Certifications around GPU and AI/ML
• Networking: Cisco/Juniper Certifications
• Programming/Scripting: Ruby, Python, Go, Bash
• Source Code: Git
• Automation: Terraform, Ansible, Chef, Puppet, Saltstack
• Virtualization: KVM, Xen
• Databases: MongoDB, MySQL, Redis, PostgreSQL
• Open Source: CoreOS, Docker, Kubernetes (CKA/CKE), Vagrant
• DigitalOcean: API, libraries, services
• Linux: RHCSA/RHCE

Compensation Range: 

• Base: $150,000 - $182,000 / Target OTE: $200,000 - 240,000

*This is a remote role

JR: 2026-7695

#LI-Remote

At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform. Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications.

From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You’ll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure.

This is a remote position.

What You'll Be Doing

• Deploying, maintaining, and scaling DigitalOcean’s data center infrastructure
• Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches
• Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure
• Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions
• Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation
• Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure
• Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems
• Debugging hardware, network, and Linux OS related issues
• Submitting RMAs and managing hardware lifecycle replacements with equipment vendors
• Managing shipping, receiving, and inventory tracking of data center hardware and components
• Maintaining deployment documentation, runbooks, and operational procedures
• Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades
• Supporting operational readiness for new data center deployments
• Participating in an on-call rotation to support infrastructure availability
• Mentoring junior engineers and contributing to team development
  
  

What You'll Add to DigitalOcean

• 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments.
• Strong understanding of data center infrastructure including compute, networking, and storage systems
• Proficient understanding of data center power and cooling architecture
• Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure
• Experience working with or supporting liquid-cooled infrastructure
• Strong Linux knowledge and command line experience; familiarity with bash scripting
• Strong troubleshooting skills across hardware, networking, and operating systems
• Understanding of data center cabling standards and deployment best practices
• Experience supporting large-scale infrastructure deployments or data center expansions
• Ability to analyze infrastructure incidents and drive operational improvements
• Strong problem-solving skills and the ability to perform deep technical investigations
• Experience maintaining deployment documentation and operational procedures
• Ability to collaborate with cross-functional engineering teams
• Willingness to participate in an on-call rotation
• Valid driver’s license and ability to travel domestically and internationally (20–25%)
• Ability to lift objects up to 50 lbs and be on your feet for extended periods
• Ability to mentor and train junior engineers

Compensation Range: 

• $128,000 - $161,000

*This is a hybrid role

JR: 2026-7651

#LI-Hybrid

About the role:

Deadline to apply: None. Applications will be reviewed on a rolling basis.

As a Field Sales Engineer at Samsara, you’d be an integral part of a diverse team working to help modernize essential industries through the application of cutting-edge IoT solutions.  Your work would directly contribute to a cleaner, more efficient, and productive supply chain by creating safer roadways, reducing fuel consumption and emissions, and providing a consolidated platform for connecting operations.  Our daily customer engagements include conversations around how IoT can positively impact logistics management, workplace safety programs, fleet maintenance strategies, global asset management, and regulatory compliance.  This means a successful SE at Samsara will develop a thorough understanding of the application of IoT hardware and sensors, hands-on hardware installation strategies, managing data collection over carrier networks, presenting a robust cloud infrastructure, and building third-party system integrations (via our open API) to ensure the best technical solution is presented to Samsara customers.

This is a remote position open to candidates residing in the US within the Pacific or Mountain time-zone. This position requires travel up to 50% of the time and proximity to an international airport is required.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

In this role, you will: 

• Become an expert on Samsara products: where the rubber of cutting-edge tech (IoT, AI, computer vision) meets the road of driving digital transformation for physical operations.
• Articulate to prospects how businesses like theirs use Samsara today to solve obstacles common to their industry.
• Deliver the work products that get deals done.  Think discoveries, demonstrations, value assessments, proof of concept implementations, etc.
• Walk installers through any scenario, explaining best practices for installing Samsara products and helping build deployment plans.
• Write sample proof-of-concept scripts against our open API that solve real-world problems for companies that deliver essential services (for example), and document them for your fellow SE’s to use.
• Open the door for deeper entrenchment into accounts (integration, upsell, cross-sell) by becoming a consultant to your customers.
• Act as a liaison between Samsara’s product and sales teams, translating technical feedback and enrolling the right customers in our beta programs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor’s of Science degree from a 4-year accredited university.
• 5 years of experience working with customers in a pre-sales, customer success, or customer/product support capacity.
• Possess the attitude and aptitude for continuous growth and development.
• Ability to influence stakeholders based on your technical sales acumen and a solid understanding of business processes and change management.
• Ability to explain complex technical concepts to non-technical audiences.
• Previous experience managing hardware and/or software product evaluations.
• Basic understanding of electronics and electrical systems.
• Experience with the following concepts: technical consulting, cloud software, cloud-connected hardware, computer networking, business systems integration, automation, and control systems.

An ideal candidate also has:

• Bachelor’s of Science degree or advanced education in Electrical Engineering, Computer Science, Mechanical Engineering, Industrial Engineering, or related discipline.
• 8+ years of enterprise experience working with customers in a pre-sales environment.
• Understanding of vehicle diagnostic systems, including Controller Area Networks (CAN bus) and Power Take Off (PTO) applications.
• Skilled in the art of identifying customer value - identifying on delivering what is most important to the customer and tuning out the noise.
• Hobbyist interest in working with things driven by electronic systems (car audio installation/classic car restoration, home automation, building things with Raspberry Pi, Arduino, etc.).
• Consistent track record of success selling complex technical solutions through strategic sales cycles.
• Work experience in task automation scripting and transferring data between systems using Bash, Python, JavaScript, or equivalent language.
• Work experience building solutions leveraging open APIs.
• An ideal candidate is physically located in Denver, San Francisco, Phoenix, or Seattle

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The Role

The Staff IAM Engineer is responsible for securing and managing all non-human identities  including service accounts, application identities, machine credentials, APIs, bots, and workloads across on-prem, cloud, and crypto infrastructure. This role ensures that automated and machine-based identities follow the same governance, lifecycle, and least-privilege principles as human users. You will design systems that enable secure authentication, secrets management, and access provisioning for automated services, APIs, and DevOps pipelines. This role directly protects sensitive financial data, crypto custody environments, and transaction systems from privilege misuse, credential leakage, and insider or supply chain threats.

What You’ll Do

Identity Architecture & Engineering

• Design, implement, and maintain a Non-Human Identity (NHI) framework governing all service accounts, API tokens, certificates, and machine credentials.
• Implement centralized secrets management using tools such as HashiCorp Vault or AWS Secrets Manager, 
• Build integrations with CI/CD pipelines and cloud services (AWS, GCP, Azure) to enforce automated credential rotation and JIT provisioning.
• Define and implement tagging, ownership, and classification models for non-human identities.
• Develop scalable onboarding processes for applications, workloads, and bots that require secure authentication.

 Lifecycle Management & Governance

• Develop automated workflows for creation, rotation, deactivation, and certification of service accounts and API keys.
• Partner with developers and DevOps to transition hard-coded credentials to secure vaults.
• Establish policies for key rotation frequency, credential expiration, and certificate renewal.
• Integrate NHI lifecycle into IAM governance tools (Okta).
• Support quarterly access reviews and certification campaigns for non-human identities.

 Automation & Integration

• Build automation using APIs, Python, PowerShell, or Terraform to manage credentials and monitor access.
• Integrate non-human identity telemetry into SIEM/SOAR platforms for anomaly detection.
• Implement visibility dashboards to track total NHI inventory, owners, last use, and compliance status.
• Deploy Just-in-Time (JIT) credential provisioning for ephemeral workloads and containers (Kubernetes, Lambda, ECS, etc.).

 Security & Risk Management

• Enforce least privilege and zero-trust principles for machine access.
• Monitor for unused or excessive service accounts and remediate over-permissioned credentials.
• Support incident response teams with forensics on compromised API keys or tokens.
• Define detection logic for credential misuse or non-standard access patterns.
• Partner with Application Security to integrate secure NHI handling into SDLC.

 Compliance & Audit

• Maintain audit trails for credential issuance, usage, and rotation events.
• Produce compliance reports for SOX, SOC 2, PCI DSS, FFIEC, and crypto-custody audits.
• Collaborate with internal audit and compliance teams to validate NHI control effectiveness.
• Document architecture, data flows, SOPs, and exception processes for NHI management.

 Innovation & Continuous Improvement

• Evaluate emerging NHI management solutions (e.g., SPIFFE/SPIRE, workload identity federation, cloud-native secrets stores).
• Lead proof-of-concepts to modernize credentialless or short-lived identity methods.
• Advocate for security automation and the reduction of static credentials across the enterprise.

What You’ll Need

Education & Experience

• Bachelor’s degree in Computer Science, Cybersecurity, or related discipline.
• 3–6 years of experience in IAM, DevSecOps, or Security Engineering roles.
• Hands-on experience with non-human identity or secrets management tools
• Familiarity with cloud IAM concepts (AWS IAM Roles, Azure Managed Identities, GCP Service Accounts).
• Experience integrating IAM or secrets systems with CI/CD pipelines and DevOps tools.

 Technical Skills

• Proficiency in automation and scripting (Python, PowerShell, or Bash).
• Strong understanding of authentication standards (OIDC, OAuth 2.0, SAML, JWT).
• Knowledge of API security, key rotation policies, and service-to-service authentication.
• Familiarity with container and workload identities (Kubernetes, ECS, Lambda).
• Understanding of Zero Trust, machine identity, and certificate lifecycle management.

 Preferred Certifications

• HashiCorp Certified Vault Associate
• AWS Certified Security – Specialty
• Okta Certified Professional or Administrator
• (ISC)² Certified Identity and Access Manager (CIAM) or CISSP

It’s a plus if you have:

• Hands-on experience with Upbound and/or Crossplane
• Familiarity with KCS (Knowledge-Centered Service) practices and methodology
• Experience building agentic tooling, support automations, or AI-assisted workflows to improve customer outcomes
• Proficiency with Unix-like shells and command-line interfaces
• Scripting skills in Python, Bash, or similar
• Startup experience you know how to operate with ambiguity and move fast
• Hands-on experience with GitOps tooling (ArgoCD or Flux) and familiarity with reconciliation failure modes — drift, conflicts, dependency ordering
• Background in platform engineering or internal developer platforms (IDPs) — you understand what platform teams are trying to build and why it breaks
• Working proficiency in Go — enough to read Crossplane/provider source and identify relevant fixes

#LI-REMOTE

Team Overview:

Impinj is seeking a DevOps Engineering Intern specializing in developing a DevOps software release pipeline to join our Product Test Engineering team. This role will work closely with key mentors on the team. In this position, you will focus on creating an automated process that helps manage how software is built, tested, and deployed. 

What You Will Do:

• Assist in creating a simple DevOps pipeline to support software development activities 
• Help automate steps in the development process, such as building, testing, and deploying software 
• Work with version control systems to manage and track code changes 
• Learn and use DevOps tools and platforms under guidance from the team 
• Document the solution in a clear and easy-to-understand format 
• Present the completed pipeline and explain how it works 

What You Will Bring:

• Current BS or MS in Computer Science, Engineering, Information Technology, or a related field 
• 1-3+ years of relevant coursework experience 
• Familiarity with version control tools such as Git 
• Strong communication and documentation skills 
• Exposure to DevOps, CI/CD, or automation concepts 
• Experience with scripting or programming languages (e.g., Python, Bash) 
• Familiarity with cloud platforms or container technologies is a plus 

Why Intern With Impinj: 

The Impinj Summer Internship Program is designed to provide undergraduate and graduate students with a comprehensive learning experience that goes beyond traditional work assignments. It offers a unique blend of professional development, mentorship, and networking opportunities to help interns thrive in their roles and prepare for successful careers. Students develop valuable skills through interactive learning sessions and receive personalized mentorship and guidance from early-career colleagues.  

The program offers more than just a resume boost. It’s a chance to access hands-on experience, leadership insights, and a network of peers and mentors that lasts well beyond the summer. 

Learn what our interns last year had to say about their experience: Impinj Intern Program: A Season of Learning, Connection, and Fun (Impinj blog).  

This Summer Internship Cohort begins on Monday, June 15 and ends September 4. The start date is firm; the end date is flexible to end early. All internship positions report at least on a hybrid basis to our Seattle office. There is opportunity for full time employment for those graduates or those entering their senior year.  

Compensation & Benefits:

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

The typical base pay range for this role across the US is $26.00/hr - $40.00/hr. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

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

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

US Export Controls:

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

Team Overview:

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

What you will do:

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

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

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

What you will bring:

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

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

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

Compensation & Benefits:

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

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

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

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

US Export Controls:

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

As a Robot Systems Jr. Software Engineer at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of robot side features and algorithms.

What you’ll do:

• Partner with Engineering teams to build efficient robotic software to support our revolutionary LaserWeeder robots and Autonomous Tractor Kits. 
• Build and troubleshoot robot system software and develop tooling to support high performance robotics algorithms.
• What you’ll build will help deliver state of the art AI performance to our robots by improving our machine learning pipelines and building associated features.
• Work with a fast-paced, nimble software team working on problems that have never been solved before.

Knowledge, Skills, and Abilities for Success:

• Some Experience C++ and Python.
• Proficiency with modern Linux development environments (e.g. bash, git, docker, etc.)
• Experience with robotic and computer vision algorithms is beneficial.
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams.
• BS+ in Computer Science, Computer Engineering or related field.
• Willing to work in the Seattle office 4 days per week.

Qualified applicants will receive a short survey after applying to help the team learn more about you.

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

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

Role Overview 

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

What You’ll Do (Day to Day) 

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

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

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

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

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

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

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

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

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

You'll Thrive Here If you have 

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

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

• Strong Python 

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

• U.S. Citizenship 

Nice to Have 

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

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

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

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

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

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

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

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

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

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

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

Role Overview 

You’ll work sidebyside with federal mission owners from field operations and supply chains to benefits delivery and enterprise decision support turning vision into reality with Palantir Foundry + AIP. This role focuses on orchestrating, integrating, and operationalizing AI (no model training required): you’ll leverage managed platforms and services to ship secure, reliable, and scalable applications fast. You’ll own the path from usecase discovery → prototype → scaled deployment, operating under realworld constraints and partnering across product, engineering, and domain teams. 

What You’ll Do (Day to Day) 

• Mission partnership & delivery: Embed with client teams to conceive, architect, build, and maintain solutions that meet mission needs under operational constraints. 

• Data-to-decision flow: Use Foundry (e.g., ontologies, pipelines, transformations, operational workflows) to turn disparate data into actionable products; move from use case → prototype → production at mission speed. 

• Operationalize AIP: Deploy agentic workflows, retrievalaugmented patterns, and prompt/policy strategies via AIP; implement guardrails, fallbacks, and recovery for reliability without training foundation models. 

• Production rigor: Instrument metrics/logs/traces, establish runbooks and SLOs, lead postmortems, and build auditready guardrails for safety and compliance. 

• Secure & compliant by design: Respect confidentiality and integrate with federalgrade controls (privacy, access, auditability); practice Zero Trust concepts. 

• Rapid iteration, real outcomes: Prototype quickly, ship productiongrade features, and iterate based on user feedback and measurable mission impact. 

• Crossfunctional collaboration: Partner with engineers, PMs, analysts, and operators to define requirements, iterate on solutions, and ship code that sticks. 

• Forward deployed presence: Travel as needed to embed onsite, drive adoption, and ensure outcomes in operational environments. 

What you won’t do: Train or invent new foundation models; deliver academic research. Your focus is making bestinclass platforms and models work flawlessly in production. 

You'll Thrive Here If You Have

• Hands-on experience deploying solutions with Palantir Foundry + AIP in real customer settings. 

• Proven track record solutioning and shipping products for clients ideally in public sector or similarly regulated environments. 

• Willingness to travel for client implementation work (frequency varies by program). 

• U.S. Citizen  

Nice to Have 

• Active government security clearance. 

• Familiarity with managed AI platforms/services (e.g., AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra). 

• Experience with LLM selection/evaluation, prompt design, and RAG/agent workflows (no model training required). 

• Experience integrating toolusing agents to call APIs and access external data sources. 

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

• Background in observability, guardrails, compliancebydesign, and operating in regulated/secure environments. 

• Demonstrated client success obsession, analytical/system thinking, and a record of measurable impact 

• Strong coding / scripting with Python, TypeScript, SQL (R a plus); comfortable working over large, messy datasets. 

• Ability to operate autonomously, own outcomes, and drive clarity across diverse stakeholders. 

• Excellent communication with technical and nontechnical partners; comfortable embedding onsite with client teams. 

About the team

The SRE team was recently formed with the goals of establishing first-class observability tools and primary owners of all things production.

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with R&D to improve and optimize availability.

• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring
• Conduct periodic on-call duties and emergency response

What You'll Bring

• At least 3+ years of experience as an SRE, Infra Backend in a SaaS environment.
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Configuration management, such as Ansible/Chef/Puppet/ArgoCD
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab/Phabricator/gerrit
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Participated in Kubernetes migration projects
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

About the team

The SRE Incident Response team is responsible for handling critical application\infrastructure alerts, orchestrating the war room process and enabling first class observability and alerting systems. 

Team members are located in several international locations (“follow the sun” model) to provide 24/7 availability.

We are a team of unique individuals, experienced and independent, who get things done.

On-call coverage is 7 days a week, starting at noon, with the shift ending at 6:00pm. 

This position is fully remote, candidates required to be in US Pacific time.

What You'll Do

As part of your role, you would improve and establish new monitoring, alerting, and observability of services using a wide range of tools. Additionally, you would handle critical alerts and incidents and work directly with engineering and DevOps to improve and optimize availability.

• Manage and participate in incident war rooms, escalating and coordinating response for critical workflow alerts.
• Perform deep-dive troubleshooting for application, transaction, and general technical issues.
• Research Fireblocks blockchain workflows, identify optimization opportunities, issues, and improve monitoring.
• Help identify root causes for incidents and prevent them from happening again. Solve and orchestrate outages by working with multiple teams.
• Improve and establish alerting for our infrastructure, services, and business logic
• Work closely with the R&D and Support: offering education and guidance on integration, support, and monitoring across the toolset
• Communicate and escalate issues to senior management in R&D and support, write RCAs, and define next steps.
• Document actions in runbooks and then into automation using Python, Lambda, shell scripts, ArgoCD, and Ansible.
• Focus on the system's observability, availability, reliability, performance/latency, and monitoring

What You'll Bring

• At least 3+ years of experience as an SRE incident response engineer
• You are curious, self-motivated, easy to work with, responsible, and production-aware—fast learner and able to take a project from POC to production, while handling decision-making and communication.
• Experience with Coding languages - Python/JavaScript/Bash (Must)
• At least 3+ years of experience with Alerting & Monitoring systems such as DataDog, Coralogix / Splunk / New Relic / Prometheus
• Experience working with Linux systems from kernel to shell and beyond
• Cloud systems such as AWS / Google Cloud / Azure
• Experience with Docker, Kubernetes, and Helm
• SCM - Git/bitbucket/gitlab
• High Analytical & Troubleshooting skills - ability to solve complex problems
• Strong verbal and written communication skills and a collaborative mindset

Want to stand out from the crowd?

• Previous experience in cryptocurrencies \ blockchains - a big advantage
• In-depth knowledge in: Linux optimization, nginx, ArgoCD, DataDog, MySQL
• Previous experience as a C++ or Node developer
• BSC in Computer Science or related technical certifications

For employees hired to work remotely from New York, or from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs.

It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $150,000 - $185,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits. 

While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.

As a Robot Systems Software Engineer  at Carbon Robotics you will work alongside your software, mechanical and electrical peers to build AI and robotics products. In particular, you will be involved in the design and implementations of robot side features and algorithms.

You’ll do whatever it takes - which might include going to the farm - to ensure our customers have reliable and safe products.

What you’ll do:

• Partner with Engineering teams to build efficient robotic software to support our revolutionary Laser Weeding robots and future products. 
• Build and troubleshoot robot system software and develop tooling to support high performance robotics algorithms.
• What you’ll build will help deliver state of the art AI performance to our robots by improving our machine learning pipelines and building associated features.
• Work with a fast-paced, nimble software team working on problems that have never been solved before.
• Drive decision through project planning, task delegation and leading problem solving efforts to iterate quickly

Knowledge, Skills, and Abilities for Success:

• Experience as a System Software Engineer building on machine and in the cloud software with 5+ years of programming in C++ and Python.
• Proficiency with modern Linux development environments (e.g. bash, git, docker, etc.)
• Proficiency with web services (REST/GRPC)
• Experience with robotic and computer vision algorithms is beneficial
• General knowledge of observability tools (ex: Prometheus ecosystem) is a plus
• Effective verbal and written communication skills and a desire to work in multidisciplinary teams
• BS+ in Computer Science, Computer Engineering or related field

Qualified applicants will receive a short survey after applying to help the team learn more about you.

Senior DevSecOps Engineer

About us

Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform.  With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability.  We envision a world where organizations we depend on are truly trustworthy - and Hyperproof is the platform that will get them there.

We have a great team and culture - picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It’s an exciting time to be at Hyperproof; we raised our Series B round in 2023, validating our teamwork and company vision, and we continue to grow rapidly. 

As we continue to grow, we are seeking a talented Senior DevSecOps Engineer to join our team and lead our efforts in supporting our multi-region, FedRAMP-authorized infrastructure.

WHO YOU ARE:

You are a seasoned Senior DevSecOps Engineer with a passion for ensuring the reliability, scalability, and security of cloud-based infrastructure. You thrive in dynamic environments and possess a deep understanding of Azure technologies. Your expertise in DevOps methodologies and security practices, and federal compliance standards makes you an invaluable asset to any team.

You excel at collaborating with cross-functional teams and are dedicated to driving innovation and continuous improvement. You understand that compliance and developer velocity are not opposing forces — and you know how to architect systems that deliver both.

WHAT YOU WILL DO:

As a Senior DevSecOps Engineer, you will lead the management and optimization of Hyperproof's Azure-based infrastructure across commercial and FedRAMP regions. Your responsibilities will include:

• Develop and execute DevOps strategy tailored to all Hyperproof regions, including our FedRAMP-authorized environments.
• Own and evolve our Terraform/Terragrunt IaC pipeline for multi-subscription promotion, including continuous monitoring
• Architect secure, scalable platform infrastructure including GitHub Actions, GitLab, and ADO CI/CD pipelines with security gates, Kubernetes environments, observability systems, and compliance automation that enables developer  velocity while maintaining continuous compliance posture.
• Support FedRAMP authorization activities: contribute to SSP documentation, NIST 800-53  control implementations, 3PAO coordination, and readiness assessments while establishing  repeatable processes.
• Lead the design and security implementation of our Seattle-based on-premise build/test platform. You will ensure that physical hardware configurations (firmware, networking, and storage layout) maintain parity with our Azure Kubernetes Service (AKS) patterns while meeting strict SOC 2 compliance standards for local developer workflows.
• Establish security and compliance architecture patterns across encryption, network  segmentation, secrets management, supply chain security, and incident response.
• Drive technical decisions and technology selection for cloud platforms, compliance tooling, and security controls.
• Mentor and raise the technical bar across engineering teams through architecture reviews,  design discussions, and establishing FedRAMP best practices.
• Partner with security, product, and business leadership to translate federal customer  requirements into technical architecture and deliver measurable improvements in security  posture and operational efficiency.
• Monitor, triage, and remediate CVEs and security vulnerabilities across infrastructure,  container images, and dependencies — maintaining compliance with FedRAMP continuous monitoring requirements.

WHAT YOU WILL BRING:
Required:

• U.S. citizenship, residing and working from within the United States.*
• BS in Computer Science, Engineering, or a related field (or equivalent  experience).
• 5+ years of extensive experience in SRE, DevSecOps or Platform engineering roles, with a focus on managing  Azure-based infrastructure.
• Demonstrated knowledge and interest in applying AI technologies towards fully or partially automating compliance & security workflows
• Strong programming skills (Python, Bash, Go, or Node.js) and demonstrated ability to drive complex technical initiatives from architecture through production.
• Expertise in modern platform technologies: Kubernetes security, infrastructure-as-code (Terraform/Terragrunt), GitOps (Helm/ArgoCD/Flux), Ansible, CI/CD security, observability systems, and secrets management.
• Familiarity with compliance standards and regulations, particularly NIST 800-53 and  FedRAMP.
• Excellent communication and collaboration skills, with the ability to work effectively in  a cross-functional team environment.
• A positive attitude and a willingness to learn, adapt, collaborate, and grow in a dynamic  environment.
  
  

Preferred:

• Experience contributing to FedRAMP authorization efforts (Moderate or High), including SSP documentation, control implementation, or 3PAO coordination.
• Experience with Azure networking, and security boundaries.
• Experience with compliance automation, supply chain security (SBOM, image signing), or secrets management at scale.
• Professional certifications: CISSP, Azure Security Specialty, CKS, or equivalent.
• Familiarity with CMMC, OSCAL, or compliance-as-code practices.
• Experience with vulnerability scanning and remediation tooling (e.g., Trivy, Snyk, Qualys, or Defender for Cloud).
• Advanced degree in Computer Science or related field, or equivalent experience architecting secure, compliant platforms at scale.

LOCATION

Candidate must be local within the Seattle area; available to work until 6pm Pacific on a daily basis.

CANDIDATE EXPERIENCE

We respect your time and aim for transparency throughout the interview process. You can expect:

• A 30-minute initial chat with our Principal People & Talent Partner.
• A Take Home Assessment, which you will work on within GitHub.
• Three 60-minute 1:1 interviews with members of our engineering team, one of them who will be the hiring manager.

This process allows both parties to ask questions and gauge fit for the team.

*Due to the nature of the work and participation in federal security and compliance programs, U.S. citizenship is required as a bona fide occupational qualification in accordance with federal government security and compliance regulations. This role requires physical presence within the United States while working — access to FedRAMP-authorized  environments from outside U.S. borders is not permitted.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

The base pay range for this position is $214,000 - $294,800  annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Job Title: Junior Tools Engineer

Location: On Site · Seattle
Department: Engineering

About Pipe17

Pipe17 connects commerce businesses' selling channels, fulfillment providers, and back-office systems into one automated, reliable flow. We're solving the "post-order chaos" that happens when e-commerce platforms, ERPs, and 3PLs don't talk to each other.

Our AI-native cloud platform orchestrates orders, inventory, and shipments between systems like Shopify, Amazon, NetSuite, and ShipStation – powered by modern APIs, event-driven microservices, and intuitive web dashboards.

We’re growing fast, and we’re looking for a Junior System Engineer who is passionate about building tools, integrating APIs, and leveraging modern AI tooling to improve developer and business productivity. 

We’re looking for someone who’s AI-curious and eager to learn - if you’re excited by new tools and want a place to grow your skills while shipping real impact, you’ll thrive here.

Interview Note: You'll be screen sharing, using AI tool of your choice, and then you'll be programming together as a part of the process!

We can provide you an Anthropic API key to use during the interview if you don't want to use your own. This can be used for Claude Code, Cursor, and other tools.

What You’ll Do

As a Junior System Engineer, you will:

• Design, build, and maintain internal tools and automation scripts using JavaScript / TypeScript.
• Develop lightweight APIs, CLI tools, and web utilities to enhance developer productivity and system reliability.
• Implement and manage API integrations between internal systems and external services (e.g., GitHub, Jira, HubSpot, NetSuite, or internal APIs).
• Experiment with and build AI-powered developer tools and automations using ChatGPT, Claude Code, and other LLM APIs.
• Collaborate with infrastructure and product engineering teams to streamline developer workflows, deployments, and monitoring.
• Troubleshoot system and integration issues, ensuring smooth operation across environments.
• Write clear documentation and onboard teammates to the tools you create.
• Participate in design reviews, daily stand-ups, and sprint planning with cross-functional teams.
• Contribute to unit and integration testing for tools and APIs.

What You’ll Learn

Hands-on experience with:

• Node.js / TypeScript for automation, APIs, and internal developer tooling.
• REST / GraphQL APIs for integrations and data synchronization.
• AI tooling and automation using ChatGPT, Claude, and other LLM-based systems.
• Infrastructure scripting and configuration (AWS, Terraform, Docker).
• Authentication and authorization flows (OAuth2, API keys, JWT).
• CI/CD automation with GitHub Actions or similar pipelines.
• Cloud deployments (AWS Lambda, ECS, or similar containerized services).
• Observability and monitoring (CloudWatch, Datadog, Grafana).
• Secure coding and SOC 2-aligned development practices.

Requirements

Minimum Qualifications

• 0–2 years of experience in software or system engineering.
• Fluency in JavaScript / TypeScript.
• Experience building tools or automation scripts for personal or team use.
• Experience integrating APIs (REST, GraphQL, or webhooks).
• Familiarity with AI developer tools such as ChatGPT, Claude Code, GitHub Copilot, or Replit Ghostwriter.
• Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS or similar).
• Curiosity about automation, integration, and AI-driven developer productivity.
• Strong problem-solving and communication skills.

Nice-to-Haves

• Experience with SQL / NoSQL databases.
• Familiarity with containerization (Docker) or serverless platforms.
• Exposure to scripting in Python or Bash.
• Understanding of cloud cost optimization and monitoring tools.
• Interest in e-commerce or logistics tech.

Why It Matters

Pipe17 powers the flow of customer orders and shipments for some of the fastest-growing and best-known brands in e-commerce. As part of the engineering team, you’ll build the tools and systems that make our developers faster, our platform more resilient, and our customers happier.

You’ll learn how scalable SaaS infrastructure and integration systems operate in production, and how AI-assisted automation can dramatically improve developer and business productivity.

What We Offer

• Competitive entry-level salary and benefits.
• Mentorship from senior engineers and architects.
• Exposure to real production SaaS environments.
• Flexible, remote-friendly culture.
• Clear path to mid-level roles in Systems, DevOps, or AI + Integrations Engineering.
  
  

How We Work

We value clarity, curiosity, and ownership. You’ll join a small, agile engineering team where your work ships weekly and directly impacts our platform and internal operations. At Pipe17, we encourage engineers who ask why, challenge assumptions, and love to automate solutions to messy problems.