software engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai data engineer (agent platform) Jobs in San Francisco

ai data engineer (agent platform)

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

cellular data automation engineer

Apple

Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what&rsquo;s considered feasible? As part of a world class modem team, you&rsquo;ll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You&rsquo;ll work across disciplines to transform improved hardware elements into a single, integrated design. 
 
Join us, and you&rsquo;ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you&rsquo;ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular Data &amp; Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for designing and productizing state-of-the-art cellular SoCs. 
 
Description 
 
As a Data &amp; Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms &amp; machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.&quot;,&quot;responsibilities&quot;:&quot;Develop new features to enhance the automation system based on the business&rsquo;s needs 
 
Develop and maintain real-time data processing pipelines to ensure processing accuracy and efficiency 
 
Collaborate closely with AI/ML engineers to integrate new AI pipelines and ML models into the production system and ensure achieving expected results and efficiency 
 
Integrate various internal tools and external tools into the existing automation system and/or data processing pipelines to enable new applications 
 
Provide technical support for users and help troubleshoot issues to unblock projects 
 
Preferred Qualifications 
 
Master&rsquo;s degree in data science or computer science or machine learning is preferred. 
 
Proficient in scripting or programming languages such as Python, Java, C/C++ with 5+ years of proven programming skills. 
 
Advanced SQL skills with the ability to write complex joins and nested queries. 
 
Proficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together. 
 
Experience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation. 
 
Experience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD. 
 
Ability to leverage data science algorithms and machine-learning models to solve various kinds of issues. 
 
Experience in utilizing analytics and statistical methods to transform data into useful insights and actionable results. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies. 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience. 
 
Proficient developer with 3+ years proven programming skills using Python, Pandas, Matplotlib and other key related tools. 
 
Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. 
 
Experience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Cellular Data & Automation 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

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>
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

Biohub

<div><div>Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.</div><h2 class="jobSectionHeader">
The Team</h2>

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

Within Biohub, Bioengineering is a team of engineers with a diverse set of skills, including electronics, optics, imaging, automation, mechatronics, fluidics, software development, etc. We design and build custom instrumentation and automation systems to support the Biohub's scientific mission.
<h2 class="jobSectionHeader">
The Opportunity</h2>

We are seeking an experienced Lab Automation Applications Engineer to design, develop, and maintain automated protocols that support cell biology research programs. This role is ideal for an automation professional who can independently lead protocol development projects, optimize workflows, and serve as a technical resource for researchers. You will work closely with research scientists, hardware and software engineers, data scientists, laboratory staff, and facility managers to develop automation protocols that enhance throughput, reproducibility, and data quality. In this role, you will take ownership of end-to-end automation protocols, from initial method development through validation, production deployment, quality control and performance monitoring. You will also help drive continuous improvement of our automation capabilities.
<h2 class="jobSectionHeader">
What You'll Do</h2>
<ul><li>Lead the design, development, testing, and validation of automated protocols for cell biology (including multi-day cell culture and passaging), cell imaging, and molecular biology.</li>
<li>Independently program and optimize methods on Hamilton STAR/Vantage platforms using VENUS software, and other platforms, such as Opentrons and Agilent Bravos.</li>
<li>Partner with research scientists and technology teams to scope automation protocols, define requirements, and deliver solutions that meet scientific and throughput goals.</li>
<li>Develop and maintain robust quality control processes for automated workflows, including run validation, error handling, and performance monitoring.</li>
<li>Create and maintain comprehensive documentation including method specifications, SOPs, validation reports, and training materials.</li>
<li>Troubleshoot and resolve, in collaboration with hardware and software engineers and/or scientists, complex hardware, software, and method issues.</li>
<li>Manage vendor relationships for maintenance and support.</li>
<li>Mentor junior automation engineers and contribute to the team's technical growth and best practices.</li>
<li>Identify and implement process improvements that increase throughput, reliability, and data quality across the automation platform.</li>
</ul><h2 class="jobSectionHeader">What You'll Bring</h2>

Essential
<ul>
<li>Bachelor's degree in Engineering, Biology, Biochemistry, or related field.</li>
<li>5+ years of hands-on experience with laboratory automation in a biology research or industrial biotech environment.</li>
<li>Demonstrated expertise programming and running automated liquid handling systems. Experience with Hamilton STAR and Vantage liquid handlers and the VENUS software are a big plus.</li>
<li>Experience with robotic arms, robot programming, PLC systems, or motion control</li>
<li>Experience integrating liquid handlers with peripheral lab instruments and scheduling systems.</li>
<li>Proficiency in Python or another scripting language for automation support, data analysis, or custom tooling.</li>
<li>Strong understanding of molecular biology, biochemistry, and cell biology laboratory techniques.</li>
<li>Demonstrated ability to independently manage projects from concept through deployment.</li>
<li>Demonstrated experience with proper documentation of protocols and operating procedures, performance/quality control metrics, etc.</li>
<li>Commitment to reproducible research practices and rigorous documentation</li>
<li>Demonstrated ability to think creatively and work independently.</li>
<li>Excellent problem-solving skills and the ability to quickly adapt to new technological challenges and troubleshoot complex technical problems.</li>
<li>Eager to learn new methods, protocols and technologies.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Highly collaborative spirit and strong teamwork skills.</li>
</ul>
Nice to Have
<ul>
<li>Experience with live cell imaging</li>
<li>Experience with laboratory data management systems (e.g., LIMS, ELN)</li>
<li>Knowledge of data analysis, statistical methods, and workflow management software</li>
</ul><h2 class="jobSectionHeader">Compensation</h2>

The San Francisco, CA base pay range for a new hire in this role is $190,000.00 - $261,800.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
<h2 class="jobSectionHeader">
Better Together</h2>

As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
<h2 class="jobSectionHeader">
Benefits for the Whole You</h2>

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
<ul>
<li>Provides a generous employer match on employee 401(k) contributions to support planning for the future.</li>
<li>Paid time off to volunteer at an organization of your choice.</li>
<li>Funding for select family-forming benefits.</li>
<li>Relocation support for employees who need assistance moving</li>
</ul>
If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid</div>

Senior R&D Engineer, Lab Automation Applications Engineer

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</li></ul>
Who You Are:<ul><li>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

<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

Capital One

<div>Distinguished Data Engineer - Card Data<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. 
About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank&rsquo;s core profitability and security, this is your team. 
This leader must have the ability to attract and recruit the industry&rsquo;s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. 
Our Distinguished Engineers Are:<ul><li> 
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices</li><li>
Visionaries, collaborating on Capital One&rsquo;s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates</li><li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities</li></ul> 
Responsibilities:<ul><li>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</li><li>
Strike the right balance between lending expertise and providing an inclusive environment where others&rsquo; ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</li><li>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</li><li>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization</li><li>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</li><li>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One&rsquo;s Tech talent</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li></ul> 
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
9+ years of experience in data engineering</li><li>
3+ years of data modeling experience</li><li>
2+ years of experience with ontology standards for defining a domain</li><li>
2+ years of experience using Python, SQL or Scala</li><li>
1+ year of experience deploying machine learning models</li><li>
3+ years of experience implementing big data processing solutions on AWS</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer 

McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

New York, NY: $293,600 - $335,100 for Distinguished Data Engineer 

Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Data Engineer - Card Data

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