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Founding Data &amp; Operations EngineerSan Francisco, CA (On-Site) | $200K&ndash;$280K BaseBuild the Infrastructure Behind the Future of Global FinanceWe are building a next-generation financial platform that unifies banking, payments, and crypto into a single, seamless experience. Our mission is to expand financial access globally&mdash;particularly in regions where traditional systems have failed&mdash;and give millions of people a better way to move and manage money.Our team is intentionally small and senior. We&rsquo;ve previously built and scaled products used by hundreds of millions of users and generating billions in revenue. Now, we are doing it again&mdash;this time with immediate distribution through key partners and a clear path to global scale.We are looking for a Founding Data &amp; Operations Engineer to design and build the core systems that will power everything we do.What You&rsquo;ll Own<ul><li>Architect and build the data infrastructure that underpins our entire platform</li><li>Create systems that enable accurate financial ledgers across multiple partners and accounts</li><li>Design pipelines that support fraud detection, AML workflows, and risk modeling</li><li>Build a unified analytics layer that gives teams real-time, reliable insights</li><li>Establish secure data access patterns that maintain governance, lineage, and compliance</li><li>Define and document best practices for infrastructure and data systems as we scale</li></ul>What You Bring<ul><li>5+ years of experience building and shipping data platforms or pipelines at scale</li><li>Deep expertise with Terraform, dbt, SQL, and AWS</li><li>Strong experience in FinTech environments (banking, payments, crypto, lending, etc.)</li><li>Background in data modeling, ETL/ELT, or event-driven systems</li><li>Ability to think across systems&mdash;data, backend, and infrastructure</li><li>Clear and effective technical communication</li></ul>What Makes You Stand Out<ul><li>Experience with global payments, ledgering, or financial systems</li><li>Exposure to fraud detection or compliance workflows</li><li>Ability to translate complex data into clear insights and systems</li><li>Experience working in small, high-performance teams</li></ul>Why This Role Is Different<ul><li>Founding-level ownership: You will define core architecture and systems from the ground up</li><li>Immediate impact: Your work directly powers products used by millions</li><li>High-caliber team: Work alongside experienced operators and engineers with proven track records</li><li>Speed and autonomy: No layers, no bureaucracy&mdash;just execution</li><li>Global scale: Build infrastructure that supports a worldwide user base from day one</li></ul>Our CultureWe operate with a strong bias toward ownership, speed, and precision. Every person on the team contributes meaningfully to both product and company direction. We value individuals who take initiative, communicate openly, and are driven to build at a high level.Compensation<ul><li>Base salary: $200,000&ndash;$280,000</li><li>Additional compensation and benefits discussed during the process</li></ul>Final ThoughtThis is an opportunity to build the data foundation of a global financial platform from the earliest stages. If you are motivated by ownership, technical depth, and real-world impact, we want to hear from you.Pay: $200,000.00 - $280,000.00 per yearApplication Question(s):<ul><li>Do you have experience working at banking/credit card/crypto/remittances/lending startups?</li><li>Do you have experience with data modeling, ETL/ELT, or event-driven systems?</li><li>Do you have extensive hands-on experience building scalable data architectures in a consumer-oriented FinTech environment using Terraform, dbt, and SQL?</li><li>Do you have at least 5+ years building and shipping data pipelines and platforms?</li><li>Do you have experience generally across the backend: working with Postgres, Redis, AWS, etc?</li></ul>Work Location: In person

Senior Data Engineer

Early Warning Services

<div>At Early Warning, we&rsquo;ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle&reg;, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Sr. Data Platform Support Engineer serves as the technical owner and administrator for critical enterprise data platform applications. This role is responsible for ensuring the stability, performance, and scalability of assigned systems while providing expert-level application and system support. The engineer will design, implement, and maintain integrations across enterprise applications, establish best practices for administration and security, and lead automation initiatives to improve system efficiency.
Essential Functions
Application Ownership &amp; Administration<ul><li>
Serves as the primary owner and administrator for assigned data platforms.</li><li>
Architects, configures, and maintains applications to align with business and technical requirements.</li><li>
Establishes best practices for system administration, performance optimization, risk management, and security.</li><li>
Maintains a platform road map and works with leadership to prioritize enhancements and upgrades.</li></ul>
 Support, Troubleshooting &amp; Incident Management
<ul><li>Provides expert-level application and system support to internal teams and user communities.</li><li>
Diagnoses, troubleshoots, and resolves complex application issues; escalates to infrastructure support or vendor teams as necessary.</li><li>
Performs root cause analysis and implements preventative measures to ensure system reliability.</li><li>
Maintains ownership of all assigned issues through resolution and documentation.</li></ul>
Architecture, Integration &amp; Optimization<ul><li>
Designs and implements integrations between data platforms and other enterprise systems.</li><li>
Evaluates and enhances system architecture to meet changing business needs.</li><li>
Conducts performance monitoring and tuning, ensuring optimal uptime and resource utilization.</li><li>
Defines and tracks KPIs, SLAs, and other operational metrics in collaboration with stakeholders.</li></ul>
Automation &amp; Process Improvement<ul><li>
Develops and deploys automation scripts and tools to improve efficiency and reduce manual workloads.</li><li>
Leads or participates in automation and optimization projects across the data platform ecosystem.</li></ul>
Vendor &amp; Third-Party Application Management<ul><li>
Researches, evaluates, and recommends third-party applications that align with business objectives.</li><li>
Ensures successful installation, validation, and documentation of vendor-provided upgrades and patches.</li></ul>
License &amp; Budget Management<ul><li>
Monitors license usage, forecast needs, and manage compliance with licensing agreements.</li><li>
Provides metrics and budget recommendations during annual planning cycles.</li><li>
Documentation, Reporting &amp; User Enablement</li><li>
Develops and maintains comprehensive documentation, including policies, procedures, and configuration details.</li><li>
Delivers user training sessions and promote best practices to drive adoption and proficiency.</li><li>
Provides timely and accurate reporting on application of health, performance, and project status.</li></ul>
Project &amp; Change Management<ul><li>
Manages projects involving new functionality, integrations, and process automation.</li><li>
Supports the organization&rsquo;s data security, privacy, and compliance initiatives.</li><li>
Implements and maintains security standards, access controls, and audit readiness.</li><li>
Ensures systems adhere to company policies and industry best practices.</li></ul>
Minimum Qualifications<ul><li>
Education or experience typically obtained through completion of a bachelor&rsquo;s degree in computer science, information systems, engineering, or related field.</li><li>
5-8 years of experience supporting enterprise applications, data platforms, or system integrations in a production environment.</li><li>
Strong knowledge of SQL, data integration tools, APIs, scripting languages (Python, PowerShell, Bash), and automation frameworks.</li><li>
Familiarity with cloud-based platforms (AWS, Azure, GCP) and related monitoring tools. Experience with ETL/ELT pipelines, data governance frameworks, and data warehouse technologies preferred.</li><li>
Experiencing managing Tableau and/or Cloudera infrastructure preferred
</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>
Proven ability to manage multiple priorities and deliver solutions in a dynamic environment.</li><li>
Strong analytical mindset with attention to detail and continuous improvement.</li></ul>
Preferred Qualifications<ul><li>
AWS, Cloudera, or Tableau</li></ul>
Physical Requirements
Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.
Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor. 
 
The base pay scale for this position in: 
Phoenix, AZ/ Chicago, IL in USD per year is: $94,000 - $118,000. 
San Francisco, CA in USD per year is: $114,000 - $142,000. 
Additionally, candidates are eligible for a discretionary incentive plan and benefits.
This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate&rsquo;s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.
Some of the Ways We Prioritize Your Health and Happiness<ul><li> 
Healthcare Coverage &ndash; Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health &amp; dependent care expenses.</li><li>
401(k) Retirement Plan &ndash; Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.</li><li>
Paid Time Off &ndash; Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.</li><li>
12 weeks of Paid Parental Leave
</li><li>Maven Family Planning &ndash; provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.</li></ul> 
And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Early Warning Services, LLC (&ldquo;Early Warning&rdquo;) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.</div>

Sr. Data Platform Support Engineer

MongoDB

<div>MongoDB is hiring a Director of Corporate Development &amp; Ventures to partner with senior leadership to shape and execute our inorganic growth strategy, including leading critical M&amp;A and strategic investment activity.

This role is for someone who has operated as a deal lead, not just a participant. You will be expected to independently originate, evaluate, and execute transactions&mdash;quickly, rigorously, and with sound judgment.

You will work closely with senior leaders across Product, Engineering, and Finance to inform decisions that shape MongoDB's position in data infrastructure and the AI ecosystem. There is no room for passive execution in this role&mdash;you are expected to drive outcomes.

Finally, you will build the corporate development capability to run multiple transactions in parallel, establishing the cross-functional cadence and playbooks required to execute at scale.
<h3 class="jobSectionHeader">
The Team</h3>

Corporate Development &amp; Ventures at MongoDB is a small team focused on high-impact work with a bias toward action.

Our ventures platform maintains active coverage of the developer and AI ecosystem, providing consistent exposure to emerging companies, founders, and technologies.

In this role, you will be expected to translate that visibility into well-defined M&amp;A and investment opportunities, bringing the judgment and execution needed to move from insight to completed transactions.
<h3 class="jobSectionHeader">
We're looking for someone who</h3>
<ul><li>Has 8&ndash;12+ years of experience in Corporate Development, Investment Banking, Private Equity, or Venture Capital</li>
<li>Has led multiple M&amp;A transactions end-to-end and can do so with limited oversight</li>
<li>Is comfortable being the most experienced and accountable deal operator in the room</li>
<li>Demonstrates consistently strong judgment, particularly under time pressure and incomplete information</li>
<li>Holds a high bar for analytical rigor, but knows when to make decisions without perfect data</li>
<li>Can engage credibly with technical leaders while maintaining a clear business perspective</li>
<li>Is direct, low-ego, and accountable&mdash;focused on outcomes, not process</li>
<li>Is motivated by building and operating at a high-performing standard, not maintaining one</li>
</ul><h3 class="jobSectionHeader">What you will do</h3>
<h3 class="jobSectionHeader">Lead Transactions That Matter</h3>
<ul><li>Own M&amp;A and investment processes end-to-end, from initial engagement through close</li>
<li>Build and pressure-test valuation, structure, and strategic rationale independently</li>
<li>Run tight, focused diligence processes across technical, product, commercial, and financial dimensions</li>
<li>Drive decisions forward&mdash;without creating unnecessary process or delay</li>
</ul><h3 class="jobSectionHeader">Set the Standard for Execution</h3>
<ul><li>Bring structure and clarity to complex, ambiguous situations</li>
<li>Identify what matters quickly and focus the team accordingly</li>
<li>Ensure transactions are well-understood, well-structured, and executed at a high level</li>
<li>Raise the quality bar for how decisions are made across the function</li>
</ul><h3 class="jobSectionHeader">Convert Market Insight into Action</h3>
<ul><li>Work closely with the Ventures team to identify actionable opportunities from a strong, continuously refreshed pipeline</li>
<li>Maintain a precise understanding of the competitive and technological landscape</li>
<li>Act decisively when conviction is high</li>
</ul><h3 class="jobSectionHeader">Operate Effectively with Senior Stakeholders</h3>
<ul><li>Partner directly with Product and Engineering leadership on strategic fit and integration</li>
<li>Work with Finance and Legal to structure and close transactions efficiently</li>
<li>Communicate clearly and concisely with executive leadership</li>
</ul><h3 class="jobSectionHeader">Build Leverage for the Function</h3>
<ul><li>Mentor junior team members through direct, hands-on involvement in deals</li>
<li>Improve speed and consistency of execution across the team</li>
<li>Contribute to building a function that can scale without losing quality</li>
</ul><h3 class="jobSectionHeader">What success looks like</h3>
<ul><li>You independently lead and close high-quality, strategically important transactions</li>
<li>MongoDB can run multiple live deals simultaneously without loss of focus or rigor</li>
<li>Decisions are made faster, with clearer reasoning and stronger conviction</li>
<li>Internal stakeholders rely on you to drive clarity and momentum in complex situations</li>
<li>The overall quality and effectiveness of the Corporate Development function increases materially</li>
</ul><h3 class="jobSectionHeader">Position Expectations</h3>
<ul><li>Based in San Francisco, New York, or Austin</li>
<li>Travel as required for transactions and relationship development</li>
</ul><h3 class="jobSectionHeader">About MongoDB</h3>

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB's unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273414700</div>

Director, Corporate Development & Ventures

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research 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

OpenAI

About the Team
 
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
 
As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.
 
This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.
 
About the Role
 
We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.
 
The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.
 
You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.
 
Key Responsibilities
 
Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.
 
Review and develop basis-of-design documents, single-line diagrams, equipment specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.
 
Evaluate AC and DC power distribution options for high-density compute, including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.
 
Partner with mechanical, cooling, controls, hardware, networking, construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Drive FAT, SAT, witness testing, burn-in, reliability testing, interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.
 
Help guide and operate an R&D program to validate new equipment, rack designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.
 
Define telemetry and controls requirements including metering, waveform capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
 
Analyze lab data, operational incidents, power quality events, nuisance trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.
 
Create engineering standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and concise executive summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
 
Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.s
 
Qualifications
 
10+ years of electrical engineering experience in mission-critical facilities such as data centers or comparable critical infrastructure.
 
Bachelor’s degree in electrical engineering, power systems, or a related discipline.
 
Strong hands-on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
 
Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
 
Experience leading FWTs, FATs, SATs, integrated systems testing, failure-mode testing, and root-cause investigations.
 
Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
 
Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
 
Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non-technical stakeholders.
 
Comfortable operating in fast-moving environments with incomplete information and changing priorities.
 
Preferred Skills
 
15+ years of relevant experience.
 
Advanced degree in electrical engineering, power systems, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with hyperscale data centers, GPU clusters, high-density rack deployments, or liquid-cooled compute environments.
 
Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
 
Experience with modular power systems, rack-level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
 
Experience managing global, multi-site deployment programs or manufacturing quality programs.
 
Familiarity with grid constraints, demand response, renewable integration, or low-carbon infrastructure strategies.
 
Work Environment and Travel
 
This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Electrical Engineer

SoFi

<div><div>Employee Applicant Privacy Notice

Who we are:
<div>
Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
</div></div>
The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform.

Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure &amp; Core Primitives and Platform Operations &mdash; essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:
<ul>
<li>Leading the technical evolution of one or more key platform subsystems.</li>
<li>Resolving problems in the platform design and implementation that weren't clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.</li>
<li>Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.</li>
<li>Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.</li>
<li>Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.</li>
<li>The ability to create clear design and operational documentation.</li>
<li>Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.</li>
</ul>
What You'll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.

What You'll Need
<ul>
<li>Bachelor's or Master's degree in Computer Science, or Software Engineering</li>
<li>3+ years as a professional, full-time Software Engineer, or similar relevant work experience.</li>
<li>Proficient coding in Java, Kotlin, or other similar object-oriented programming language.</li>
<li>Proficient working with GIT and related CI/CD systems.</li>
<li>Experience with public cloud compute, storage, and infrastructure.</li>
<li>Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.</li>
<li>Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.</li>
<li>Deep understanding of relational and document database fundamentals.</li>
<li>Deep understanding of fundamental distributed systems concepts.</li>
</ul>
Nice To Have
<ul>
<li>Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).</li>
<li>Experience with microservices design principles and architecture.</li>
<li>Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).</li>
</ul>
We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.<div><div>
Compensation and Benefits</div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.</h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div>Internal Employees</div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

Sr Software Engineer, Data Foundations

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