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infrastructure engineer

FluidStack

<div><div>San Francisco, CA
 </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.
<h1 class="jobSectionHeader">About the Role</h1>
Fluidstack, a leading cloud provider, is looking for a Software Engineer, Infrastructure Platform to build the foundational platforms that enable our global infrastructure and data center operations. You'll develop comprehensive internal tooling across multiple domains&mdash;CMDB, asset management, DCIM, monitoring and observability, security, and operational automation&mdash;that streamline how we deploy, manage, and operate infrastructure at scale. Working cross-functionally with engineering, operations, data center teams, and product, you'll deliver scalable, reliable, user-friendly solutions that directly impact our ability to grow and deliver world-class infrastructure services.
<h1 class="jobSectionHeader">Focus</h1>
Infrastructure Platform Development
<ul><li>Design and build our next-generation CMDB system as the authoritative source of truth for infrastructure assets, network topology, and configuration data
</li><li>Create DCIM platforms for rack operations, server/GPU deployment, OS installation, quality assurance, and white-screen operations
</li><li>Develop end-to-end asset lifecycle management systems covering receiving, racking, inventory, break-fix, and decommissioning workflows
</li><li>Build monitoring and observability platforms integrating telemetry from BMS, EPMS, and IT devices with intelligent alarming and incident management
</li><li>Create self-service portals and automation for new region bootstrap, day-2 operations, and fleet-scale management
</li></ul>Operational Excellence &amp; Automation
<ul><li>Eliminate manual toil through workflow automation and self-service tooling that empower operations and engineering teams
</li><li>Build workflow orchestration systems for complex multi-step processes spanning incident, problem, and change management
</li><li>Develop digital twin visualizations and operational dashboards surfacing actionable insights; partner with data teams on analytics
</li><li>Create integration layers connecting internal platforms with external vendors and third-party systems
</li></ul>Cross-Functional Partnership
<ul><li>Collaborate with data center operations, system engineering, network engineering, and security teams to understand requirements and deliver high-impact solutions
</li><li>Work with product and business stakeholders to prioritize features, define roadmaps, and balance competing needs
</li><li>Align with support and operations teams to ensure platforms scale with organizational growth
</li></ul>Technical Leadership
<ul><li>Evaluate build vs. buy decisions for platform components, weighing in-house development against commercial SaaS and open-source solutions for scalability, cost, and flexibility
</li><li>Champion modern development practices including CI/CD, infrastructure-as-code, automated testing, and observability-first design
</li><li>Participate in architecture reviews and design discussions, contributing to technical direction and standards
</li><li>Foster technical excellence through code reviews, documentation, and knowledge sharing
</li></ul>Scalability &amp; Reliability
<ul><li>Design high-performance, fault-tolerant systems capable of handling thousands of QPS as our infrastructure footprint expands
</li><li>Build comprehensive monitoring, logging, and debugging capabilities with robust error handling
</li><li>Implement data migration strategies and manage upstream/downstream dependencies carefully during platform evolution
</li><li>Own projects end-to-end from concept through deployment, ensuring production readiness and operational excellence
</li></ul><h1 class="jobSectionHeader">About You</h1>
<ul><li>3+ years of professional software development experience building production systems
</li><li>Strong programming skills in Python, Go, or similar languages with understanding of system design patterns
</li><li>Experience designing and implementing RESTful APIs, data models, and distributed systems
</li><li>Proficiency with relational and NoSQL databases (PostgreSQL, Redis, etc.)
</li><li>Hands-on experience with containerization (Docker) and infrastructure-as-code tools (Terraform, Ansible)
</li><li>Understanding of CI/CD pipelines and modern development workflows
</li><li>Solid grasp of networking fundamentals (TCP/IP, DNS, HTTP) and Linux/Unix environments
</li><li>Strong problem-solving abilities with attention to scalability, reliability, and operational concerns
</li><li>Excellent communication skills&mdash;able to convey technical concepts to both technical and non-technical stakeholders
</li><li>Experience with CMDB systems (NetBox, Device42) or asset management platforms
</li><li>Background in infrastructure automation, DevOps, or platform engineering
</li><li>Familiarity with workflow orchestration frameworks (Temporal, Airflow, Camunda)
</li><li>Knowledge of monitoring and observability stacks (Prometheus, Grafana, OpenTelemetry)
</li><li>Experience with time-series databases and data visualization
</li><li>Understanding of ITSM frameworks (ITIL) and service management practices
</li><li>Experience in data center operations, facilities management, or physical infrastructure
</li><li>Contributions to open-source infrastructure projects
</li><li>Bachelor's degree in Computer Science or equivalent practical experience
</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 $200,000 - $250,000 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>

Software Engineer, Infrastructure Platform

JPMorganChase

<div>JOB DESCRIPTION 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector, Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities<ul><li>
Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors.</li><li>
Develop secure, high-quality production code, and review and debug code written by others.</li><li>
Influence product design, application functionality, and technical operations through informed decision-making.</li><li>
Advocate for firm wide frameworks, tools, and practices within the Software Development Life Cycle.</li><li>
Promote a culture of diversity, equity, inclusion, and respect within the team.</li><li>
Architect and deploy secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.</li><li>
Collaborate with AI teams to translate computational needs into infrastructure requirements.</li><li>
Monitor, manage, and optimize cloud resources for performance and cost efficiency.</li><li>
Design and implement continuous integration and delivery pipelines for machine learning workloads.</li><li>
Develop automation scripts and infrastructure as code to streamline deployment and management tasks.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on experience in system design, application development, testing, and operational stability.</li><li>
Strong experience with Kubernetes and containerization (Docker), including cluster operations and production troubleshooting.</li><li>
Proficiency in at least one programming language, such as Python, Go, Java, or C#.</li><li>
Ability to independently tackle design and functionality problems with minimal oversight.</li><li>
Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).</li><li>
Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.</li><li>
Experience with Infrastructure as Code.</li><li>
Deep understanding of cloud component architecture: Microservices, IaaS, Storage, Security, and routing/switching technologies.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Foundational understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Dynamo Inference).</li><li>
Proficiency with observability tools like Prometheus and Grafana.</li><li>
Experience in ML Ops and related tooling, including MLflow.</li><li>
Background in high performance computing and ML frameworks (e.g., vLLM, Ray.io, Slurm).</li><li>
Strong knowledge of network architecture, database programming (SQL/NoSQL), and data modeling.</li><li>
Familiarity with cloud data services, big data processing tools, and Linux environments (scripting and administration).</li><li>
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries.</li></ul><div>
</div><div></div><div>FEDERAL DEPOSIT INSURANCE ACT:</div><ul><li>
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Software Engineer- AI Platform engineer

<div><div>San Francisco, CA
 </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.
<h1 class="jobSectionHeader">About the Role</h1>
As a System Engineer, GPU Fleet, you will manage, operate, and optimize hyperscale GPU compute infrastructure supporting AI/ML training and inference workloads. Ensure high availability, performance, and reliability of GPU server fleet through automation, monitoring, troubleshooting, and collaboration with hardware engineering, platform teams, and datacenter operations.
<h2 class="jobSectionHeader">Focus</h2>
<ul><li>Operate and maintain large-scale GPU server fleet (H100, B200, GB200) supporting AI/ML workloads; monitor system health, performance, and utilization to maximize uptime and ensure SLA compliance
</li><li>Perform hands-on troubleshooting and root cause analysis of complex hardware, firmware, OS, and application issues across GPU clusters; coordinate with vendors and hardware teams to resolve systemic failures
</li><li>Develop and maintain automation scripts for provisioning, configuration management, monitoring, and remediation at scale.
</li><li>Build and improve tooling for GPU health checks, performance diagnostics, driver validation, and automated recovery
</li><li>Execute server provisioning, configuration, firmware updates, and OS installation using automation frameworks; manage lifecycle operations including deployment, maintenance, and decommissioning
</li><li>Participate in 24x7 on-call rotation; respond to production incidents and coordinate resolution with cross-functional teams including datacenter operations, network engineering, and application teams
</li><li>Lead post-incident reviews, document root causes, and drive continuous improvement initiatives focused on automation, reliability, monitoring, and operational efficiency 
</li></ul><h1 class="jobSectionHeader"> 
Basic Qualifications
</h1><ul><li>Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
</li><li>3+ years (System Engineer) or 5+ years (Senior System Engineer) in Linux system administration, datacenter operations, or infrastructure engineering
</li><li>Strong Linux/Unix fundamentals including system administration, shell scripting (Bash, Python), troubleshooting, and performance tuning
</li><li>Experience with server hardware architecture, troubleshooting techniques, and understanding of compute, memory, storage, and networking components
</li><li>Experience in automation and configuration management tools (Ansible, Puppet, Chef, Terraform).
</li><li>Strong analytical and problem-solving skills with ability to diagnose complex technical issues under pressure
</li><li>Excellent communication and collaboration skills; ability to work effectively with cross-functional teams
</li></ul><h1 class="jobSectionHeader">Preferred Qualifications</h1>
<ul><li>Experience managing large-scale GPU infrastructure (NVIDIA H100, A100, B200, GB200) in production environments supporting AI/ML workloads
</li><li>Deep knowledge of GPU architecture, CUDA toolkit, GPU drivers, monitoring tools (nvidia-smi, DCGM)
</li><li>Experience with HPC cluster management, job schedulers (Slurm, PBS, LSF), and container orchestration (Kubernetes, Docker)
</li><li>Proficiency in out-of-band management protocols (IPMI, Redfish, BMC) and firmware management for server hardware
</li><li>Experience with high-performance networking (InfiniBand, RoCE, RDMA) and network troubleshooting in GPU cluster environments
</li><li>Familiarity with datacenter operations including rack installations, cabling, power management, and thermal considerations 
 
</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 $200,000 - $300,000 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>

System Engineer, GPU Fleet

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

<div><div><div>San Francisco, CA,Austin, TX,New York, NY
 </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.
<h1 class="jobSectionHeader">About the Role</h1>
We are looking for a Network Engineer, WAN to architect and operate the global network backbone connecting Fluidstack&rsquo;s data centers and GPU clusters. You will be responsible for designing high-performance, secure, and reliable wide-area networks (WANs) to support data movement across regions. You will work closely with our compute, storage, infrastructure, and facility teams to ensure seamless, low-latency connectivity across our infrastructure footprint.
<h1 class="jobSectionHeader">Focus</h1>
<ul><li>Architect, implement, and maintain high-throughput, low-latency WAN links across data center sites.
</li><li>Experience with optical transport (DWDM, ROADM, coherent optics) and platforms such as Ciena
</li><li>Lead carrier engagements end-to-end: circuit procurement, contract negotiation, SLA management, and escalation
</li><li>Monitor and optimize interconnect performance, including routing, packet loss, and bandwidth usage.
</li><li>Coordinate physical fiber entries, cross-connects, and demarcation points with ICT and facility teams
</li><li>Develop and maintain WAN capacity models; forecast bandwidth needs aligned to deployment roadmap
</li><li>Automate configuration, provisioning, and monitoring of WAN infrastructure.
</li><li>Deploy and maintain site-to-site VPNs, private peering, and direct connects with hyperscalers.
</li><li>Troubleshoot complex network issues.
</li><li>Implement best practices for redundancy, failover, and disaster recovery.
</li><li>Collaborate with infrastructure engineering, SREs, and software teams.
</li><li>Support future growth by contributing to global network expansion plans. 
</li></ul><h1 class="jobSectionHeader"> 
About You
</h1><ul><li>7+ years of experience in network infrastructure engineering with a focus on WAN design and operations.
</li><li>Deep understanding of network routing protocols (BGP, OSPF), MPLS, and IPsec VPNs.
</li><li>Strong documentation habits; ability to create runbooks, topology diagrams, and decision records
</li><li>Proven experience with fiber, transport circuits, and carrier peering arrangements.
</li><li>Strong knowledge of Linux networking and systems administration.
</li><li>Experience with infrastructure automation (e.g., Ansible, Terraform, NetBox).
</li><li>Familiarity with monitoring and telemetry tools (e.g., Grafana, Prometheus, ELK, or custom tooling).
</li><li>Ability to manage projects across multiple sites and time zones.
</li><li>Excellent written and verbal communication skills. 
</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 $150,000 - $300,000 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>

Network Engineer, WAN

Handshake

<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><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location: San Francisco, CA (in-office, 5 days/week)<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and scale core components of RLE environments and infrastructure</li><li>
Design and implement backend systems and data pipelines</li><li>
Translate ambiguous product and research needs into production systems</li><li>
Develop modular, reusable workflow domains</li><li>
Improve reliability, observability, and system performance</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4-6 years of experience in backend, distributed systems, or ML-adjacent infrastructure</li><li>
Strong proficiency in ReactJS and TypeScript</li><li>
Solid experience with relational databases (PostgreSQL) and data modeling</li><li>
Experience with cloud infrastructure (AWS/GCP) and CI/CD</li><li>
Ability to independently drive projects from design to production</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with simulation systems or evaluation platforms</li><li>
Exposure to ML systems or working with research teams</li><li>
Experience in fast-moving, operations-heavy environments</li></ul><h2 class="jobSectionHeader">
What Success Looks Like</h2><ul><li>
Owns and delivers key RLE components end-to-end</li><li>
Improves system scalability and developer velocity</li><li>
Enables faster launch of new domains with high-quality data</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, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Office: Commuting support, free lunch, and gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Compensation Range: $189K - $210K</div>

Software Engineer II, RLE

<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
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 Build a massive, fast-growing business with billions in revenue
 
 
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 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Software Engineer
 
 to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
 
 
 This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
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 Build and scale core components of RLE environments and infrastructure
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 Design and implement backend systems and data pipelines
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 Translate ambiguous product and research needs into production systems
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 Develop modular, reusable workflow domains
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 Improve reliability, observability, and system performance
 
 
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 </ul>
 What We&rsquo;re Looking For
 
 
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 2&ndash;4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
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 Strong proficiency in ReactJS and TypeScript
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 Solid experience with relational databases (PostgreSQL) and data modeling
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 Experience with cloud infrastructure (AWS/GCP) and CI/CD
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 Ability to independently drive projects from design to production
 
 
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 </ul>
 Nice to Have
 
 
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 Experience with simulation systems or evaluation platforms
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 Exposure to ML systems or working with research teams
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 Experience in fast-moving, operations-heavy environments
 
 
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 </ul>
 What Success Looks Like
 
 
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 Owns and delivers key RLE components end-to-end
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 Improves system scalability and developer velocity
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 Enables faster launch of new domains with high-quality data
 
 
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 </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
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $157.5K - $175K
 
 
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Software Engineer I, RLE

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