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ŌURA

<div><div>Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work &mdash; both in and out of the office.</div>
Firmware Engineer (Core Platform)

We are looking for a Firmware Engineer with a passion for innovation in the wearable technology space. If you have a track record of developing cutting-edge firmware and a keen interest in shaping the future of wearable devices, we want you on our team!

This is a hybrid position that requires working onsite three days per week at either our San Francisco or San Diego office.

What you will do:
<ul>
<li>Design and Develop Firmware: Assist with design, development, and optimization of firmware for our next-generation wearable devices, focusing on performance, power efficiency, and scalability.</li>
<li>Collaborate on Product Development: Work closely with hardware engineers, product managers, and software teams to deliver integrated solutions that meet our high standards of quality and user experience.</li>
<li>Innovate and Improve: Continuously innovate and improve product features and performance, leveraging the latest technologies and methodologies in firmware development.</li>
<li>Problem-Solving: Diagnose and troubleshoot complex firmware issues, ensuring robust, reliable performance across all devices.</li>
<li>Contribute to Strategy: Play a key role in strategic decisions related to firmware architecture and technology stack, aligning with our mission to revolutionize the wearable technology industry.</li>
</ul>
Requirements

We would love to have you on our team if you have:
<ul>
<li>2+ Years of Firmware Development Experience: With a solid foundation in firmware engineering principles and hands-on experience in the wearable or related consumer electronics field.</li>
<li>Expertise in C/C++: Proficient in writing high-quality, maintainable, and efficient code in C/C++, with a deep understanding of microcontroller architectures.</li>
<li>Familiarity with Wearable Sensors: Experience integrating and optimizing a variety of sensors commonly used in wearable technology, such as accelerometers, gyroscopes, and heart rate sensors.</li>
</ul>
It would be nice to have:
<ul>
<li>Experience with BLE and Wireless Communication: Strong background in Bluetooth Low Energy (BLE) and other wireless communication protocols, crucial for wearable technology development.</li>
<li>Knowledge of Power Management: Demonstrated experience in power optimization for battery-operated devices, ensuring longevity and efficiency of wearables.</li>
<li>Agile Development Practices: Comfortable working in an agile development environment, with excellent collaboration and communication skills to work effectively with teams across different locations.</li>
<li>Education: Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field.</li>
</ul>
Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:
<ul>
<li>Competitive salary and equity packages</li>
<li>Health, dental, vision insurance, and mental health resources</li>
<li>An Oura Ring of your own plus employee discounts for friends &amp; family</li>
<li>20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off</li>
<li>Paid sick leave and parental leave</li>
</ul>
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
<ul>
<li>San Francisco: $151,300 - 178,000</li>
<li>San Diego: $138,550 - 163,000</li></ul><div><div> 

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers! 
We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
<ul>
<li>Our jobs are listed only on the ŌURA Careers page and trusted job boards.</li>
<li>We will never ask for personal information like ID or payment for equipment upfront.</li>
<li>Official offers are sent through Docusign after a verbal offer, not via text or email.</li>
</ul>
Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.</div></div></div>

Firmware Engineer

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

Handshake

<div><h1 class="jobSectionHeader">About Handshake</h1>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
Handshake is seeking a Senior Security Engineer to own the architecture, design, and implementation of our enterprise identity automation and governance ecosystem. You&rsquo;ll define the long-term IAM automation strategy, build resilient and scalable lifecycle workflows, and enable secure-by-default identity operations across SaaS, cloud, and internal platforms. 
You&rsquo;ll partner closely with Security, IT Engineering, People Operations, and Product/Platform Engineering to deliver highly automated, auditable, and reliable identity solutions.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Architect, build, and own automated onboarding, offboarding, and access-change workflows across Okta, Workday, SCIM, and event-driven systems.</li><li>
Engineer integration layers between identity platforms and internal applications using Python, REST APIs, Webhooks, and Terraform.</li><li>
Implement error-handling, reconciliation logic, telemetry, and monitoring to ensure reliability and determinism in identity lifecycle events.</li><li>
Modernize existing provisioning logic and replace manual processes with scalable automation frameworks.</li><li>
Develop tooling and pipelines enabling version-controlled, testable, observable IAM automation.</li><li>
Act as a technical owner for Handshake&rsquo;s IAM ecosystem, including Okta, Google Workspace, GCP, AWS IAM, and internal access systems.</li><li>
Engineer and optimize authentication &amp; authorization protocols (OIDC, OAuth2, SAML, JWT), fine-grained access policies, and scalable RBAC/ABAC models.</li><li>
Build custom automation using Okta Workflows or API-driven orchestration.</li><li>
Design SOC2-compliant access controls, approvals, attestations, and auditability mechanisms.</li><li>
Build automated access certification systems with full data lineage.</li><li>
Conduct identity-related incident forensics and implement preventative automation.</li><li>
Provide cross-functional leadership, setting standards, best practices, and reference architectures for identity automation.</li><li>
Serve as service owner for IAM automation platforms with accountability for uptime, consistency, and continuous improvement.</li></ul><h2 class="jobSectionHeader">
Desired Capabilities</h2><ul><li>
4&ndash;7+ years of hands-on IAM engineering, identity automation, or identity governance experience.</li><li>
Strong scripting/automation skills in Python, Node.js, and REST-based integrations.</li><li>
Experience with IAM platforms such as Okta, Google Workspace/GCP, Azure AD, or similar.</li><li>
Deep understanding of identity protocols, token flows, SCIM, and distributed lifecycle orchestration.</li><li>
Experience with Terraform or other infrastructure-as-code frameworks.</li><li>
Ability to diagnose complex identity issues across SaaS, cloud, and distributed systems.</li><li>
Strong understanding of DevOps practices, observability, and secure engineering principles.</li><li>
Demonstrated ownership mindset across architecture, implementation, monitoring, and iterative improvement.</li></ul><h2 class="jobSectionHeader">
Extra Credit</h2><ul><li>
Advanced experience with GCP IAM, Google Workspace IAM, AWS IAM, cross-account access patterns, and policy automation.</li><li>
Experience with Okta Workflows, SailPoint/IGA, or Privileged Access Management (PAM) solutions.</li><li>
Experience designing scalable authorization models for high-growth or distributed organizations.</li><li>
Certifications such as Okta Architect, Azure Identity Engineer, CISSP.</li><li>
Prior experience in SaaS, high-growth, or distributed engineering environments.</li></ul><h2 class="jobSectionHeader">
Perks</h2>
Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life. 
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company 
Financial Wellness: 401(k) match, competitive compensation, financial coaching 
Family Support: Paid parental leave, fertility benefits, parental coaching 
Wellbeing: Medical, dental, and vision, mental health support, wellness stipend 
Growth: Learning stipend, ongoing development 
Remote &amp; Office: Internet, commuting, and free lunch/gym in our SF office 
Time Off: Flexible PTO, 15 holidays + 2 flex days 
Connection: Team outings &amp; referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $176K - $220K</div>

Senior Security Engineer

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Software Engineer, you will play a critical role in building the products and systems that power Handshake&rsquo;s core user experiences&mdash;from search and discovery to onboarding and beyond. You&rsquo;ll work across the full stack, shipping features that directly impact how millions of users find opportunities, connect with employers, and launch their careers.
 
 
 You&rsquo;ll collaborate closely with product managers, designers, and other engineers to deliver polished, end-to-end experiences in a fast-paced, mission-driven environment. Whether you&rsquo;re building AI-powered features, scaling backend systems, or crafting intuitive frontends, your work will have real, measurable impact on users at scale.
 
 
 
 Location: San Francisco, CA | 5 days/week in-office
 
 
 
 <ul>
 <li>
 Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
 </li>
 <li>
 Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
 </li>
 <li>
 Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
 </li>
 <li>
 Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
 </li>
 <li>
 Write high-quality, maintainable code while contributing to code reviews and engineering best practices.
 </li>
 <li>
 Debug and resolve issues related to system reliability, user flows, and performance.
 </li>
 <li>
 Contribute to architectural decisions and help establish patterns for scalable, secure deployments.
 </li>
 <li>
 Grow toward increased technical ownership by learning from senior engineers on the team.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience building full-stack applications.
 </li>
 <li>
 Strong proficiency in TypeScript, with comfort working across frontend and backend.
 </li>
 <li>
 Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
 </li>
 <li>
 Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
 </li>
 <li>
 Product-oriented mindset with a focus on user experience and business outcomes.
 </li>
 <li>
 Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
 </li>
 <li>
 Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
 </li>
 <li>
 Exposure to matching systems, marketplaces, or multi-step onboarding flows.
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
 </li>
 <li>
 Background at high-growth or scaling technology companies.
 </li>
 <li>
 Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Software Engineer

Meter

<div>
 Why this role exists
 
 
 Network engineers carry the most valuable signal in the world in their heads, and it disappears the moment they close a ticket.
 
 
 Your job is to build the system that captures that signal so that our models can learn to think like network engineers.
 
 
 If you get this right, Meter can manage thousands of customers&rsquo; networks autonomously, without adding a single engineer.
 
 
 The problem you&rsquo;re walking into
 
 
 LLMs are good at code because of their access to Git. Commit messages explain why a change was made, PR threads capture expert disagreement, issue trackers record dead ends and eventual fixes. Models trained on that corpus of data don&rsquo;t just pattern-match, they&rsquo;ve seen millions of examples of human reasoning through problems.
 
 
 Network engineering has none of this. When a network engineer looks at a set of device stats and figures out it&rsquo;s upstream packet loss &mdash; not a hardware failure, not a misconfiguration, specifically upstream packet loss &mdash; that reasoning lives in their head. Never in a place a model can learn from.
 
 
 You will build the Git and Github for network engineering. A structured, queryable record of what the network looked like, what the expert notice, and why they made the call they made.
 
 
 What you will ship
 
 
 First 30 days
 
 
 Sit with our network engineers and watch how they work. Don&rsquo;t touch code yet. Understand what a great diagnostic reasoning record actually looks like and what data you&rsquo;ll need to build one. Map the existing landscape: telemetry in ClickHouse, configs in Postgres, support history in Salesforce.
 
 
 60 days in
 
 
 Ship a working v1 of the annotation interface. Network engineers should be able to open a historical support ticket, see what the network looked like at the time of the incident, and log their diagnostic reasoning against it. It doesn&rsquo;t have to be elegant, it has to be useful enough for engineers to want to use it.
 
 
 90 days in
 
 
 Our network engineers are generating training data independently without engineering support. The first model benchmarks built from the pipeline are running and you can point to a number knowing the model improved because of what you shipped.
 
 
 Tech Stack
 
 
 TypeScript, React, Go, GraphQL, Kafka, Postgres.
 
 
 Who you&rsquo;ll work with
 
 
 Our co-founder and CEO will lead the product roadmap.
 
 
 In addition to your customers, network engineers, you&rsquo;ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. They&rsquo;re excited to have a partner in building the app.
 
 
 Measuring success
 
 
 <ul>
 <li>
 Within 90 days, Network engineers are generating training data independently, without pinging you
 </li>
 <li>
 We have a large set of high-quality annotated cases in the pipeline
 </li>
 <li>
 Model benchmark scores are moving in the right direction because of the data this pipeline produced
 
 
 </li>
 </ul>
 What we&rsquo;re looking for
 
 
 You&rsquo;ve built backend systems end-to-end and made real architectural decisions with real consequences. You have opinions about data storage that come from having made the wrong decisions.
 
 
 You have deep customer empathy. You&rsquo;ll spend your first weeks learning how network engineers think and work. This knowledge will shape your future decisions.
 
 
 You care about people using the tools you built for them. Network engineer tool adoption and satisfaction leads to critical training data, model improvement, and eventually autonomous networks.
 
 
</div>

Software Engineer, Models

FluidStack

<div><div><div>San Francisco, CA,Austin, TX
 </div></div><div>Full Time</div></div>
 <div><h1 class="jobSectionHeader">About Fluidstack</h1>
At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.
Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.
There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.
<h2 class="jobSectionHeader">About the Role</h2>
As an IT Engineer you will be working across identity, devices, SaaS platforms, and supporting end users. You should be organized, collaborative, and eager to learn while working within established systems and processes.
<ul><li>Provide reliable, hands-on IT support for our in office and remote employees by efficiently resolving Help Desk tickets while delivering excellent customer service.
</li><li>Support Fluidstack&rsquo;s MDM fleet comprising macOS, iOS, and Windows devices.
</li><li>Provide in office support by troubleshooting basic network issues and our A/V systems.
</li><li>Help manage and optimize Okta and our core SaaS tooling by administering and improving integrations and role-based access controls.
</li><li>Support daily procurement and asset management operations by coordinating hardware purchasing and tracking while maintaining accurate asset inventory and device assignments throughout their lifecycle (purchase to decommission).
</li><li>Help maintain clear, organized, and accessible IT documentation by creating easy-to-understand technical documentation for both technical and non-technical audiences.
</li><li>Contribute to IT initiatives by supporting project execution, managing priorities, and ensuring clear communication with stakeholders through regular updates.
</li><li>Help maintain a secure environment by supporting basic security hygiene to include access reviews and basic identity security tasks.
</li><li>Support onboarding and offboarding of Fluidstack employees and contractors.
</li><li>Support the IT team by creating simple, reliable automations that reduce manual work and improve operational efficiency.
</li></ul><h1 class="jobSectionHeader">Qualifications</h1>
<ul><li>Practical experience administering Okta, including users, groups, and basic app integrations (OIE a plus).
</li><li>Strong knowledge of Google Workspace, with some exposure to Office 365.
</li><li>Hands-on MDM experience with macOS and Windows, ideally with Iru (formerly Kandji).
</li><li>Ability to support macOS, iOS, and Windows devices.
</li><li>Familiarity with Atlassian tools (Jira, Confluence) for documentation and project management.
</li><li>Experience participating in procurement and asset management processes.
</li><li>Clear, concise technical writing skills for documentation and knowledge base content.
</li><li>Excellent communication and customer service abilities.
</li><li>Basic understanding of security principles and best practices.
</li></ul><h1 class="jobSectionHeader">Nice To Haves</h1>
<ul><li>Experience with no‑code/low‑code automation tools (Okta Workflows, n8n, Zapier, Workato, Tray.io).
</li><li>Scripting familiarity with common languages (Bash, PowerShell, Python).
</li><li>Exposure to security and compliance frameworks (SOC 2, ISO 27001, NIST, CIS, FedRAMP).
</li><li>Experience with AI tools, agents, MCPs, automations, and prompting. Fluidstack standardizes on Anthropic Claude and has OpenAI ChatGPT.
</li><li>HRIS integration experience with systems like Deel, Rippling, BambooHR, or Workday.
</li><li>Understanding of API integrations and webhooks, and how to use them effectively.
</li></ul><h1 class="jobSectionHeader">Salary &amp; Benefits</h1>
<ul><li>Competitive total compensation package (salary + equity).
</li><li>Retirement or pension plan, in line with local norms.
</li><li>Health, dental, and vision insurance.
</li><li>Generous PTO policy, in line with local norms.
</li></ul>The base salary range for this position is $90,000 - $150,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</div>

IT Engineer

Highgate

<div>Compensation Type: Hourly Highgate Hotels:
<div>
Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate&rsquo;s portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition. Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry&rsquo;s most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle.</div>
Location:
<div></div>
Overview:
<div>
Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines.</div>
Responsibilities:
<ul><li>Assist with the operation maintenance and repair of equipment.</li><li>
Change out light bulbs; perform preventative maintenance for guest rooms to include: vinyl repair touch up paint minor furniture repair tub caulking tile repairs etc.</li><li>
Perform preventative maintenance for ice machines refrigerators kitchen equipment laundry equipment HVAC guestrooms meeting rooms the swimming pool and hot tub.</li><li>
Perform plumbing repair laundry equipment repair preventative maintenance on all exhaust fans and supply; monitor energy conservation; repair vacuum cleaners and any other small equipment upon request.</li><li>
Immediately follow up on any alarms to determine the exact location and cause - determine emergency status and report to the Front Desk with findings.</li><li>
Perform other tasks/jobs as assigned by the supervisor or manager.</li></ul>
Qualifications:
<ul><li>Experience in a hotel or a related field preferred.</li><li>
High School diploma or equivalent required.</li><li>
Licensed in a trade preferred (plumbing electrical HVAC carpentry etc.).</li><li>
Must have a valid driver&rsquo;s license for the applicable state.</li><li>
Must have an acceptable MVR (Motor Vehicle Driving Record) property specific.</li></ul></div>

Engineer

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