software engineer Jobs in San Francisco United States

software engineer

data analyst Jobs in San Francisco United States

data analyst

product data analyst Jobs in San Francisco United States

product data analyst

software engineer, enterprise data platform Jobs in San Francisco United States

software engineer, enterprise data platform

data engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
As a data engineer in the Data Platform organization, you will be transforming Twitch&rsquo;s largest data sets into offerings that are usable by the entire company. You&rsquo;ll be working with other senior team members, as well as other data engineers, scientists, and stakeholders from all across the business. You will help define how our core business metrics are managed, as well as how other parts of the company define their individual metrics.<br>
<br>
You Will<br>
<ul><li>Work closely with data scientists and engineers from across the company to define and create robust data architectures and pipelines</li><li>Develop and manage scalable data pipelines to extract, transform, and load data from various sources</li><li>Partner with a range of stakeholders to translate the company&rsquo;s needs into data offerings</li><li>Automate data processing and reporting workflows to improve efficiency and data integrity</li><li>Implement data quality checks and monitor processes to maintain high data accuracy</li><li>Simplify and enhance the accessibility, clarity, and usability of large and complex datasets through the development of data cubes and data sharing solutions</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>3+ year of experience working in a data engineering, data science, or software engineering capacity</li><li>Expertise in writing and maintaining robust data pipelines in SQL and Python</li><li>A track record of turning data requirements from stakeholders into actionable plans</li><li>Experience with cloud-native solutions</li><li>A history of implementing and upholding best practices in data pipelines, ensuring accuracy, consistency, and reliability</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field</li><li>Experience with a scripting language (e.g., Python, Java, or R)</li><li>Familiarity and interest in Twitch!</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Data Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Slack is looking for a Staff / Senior Software Engineer to join the <b>Data Infrastructure </b>team within the broader Data Engineering organization. The mission of our team is to build <b>secure, reliable, and cost-efficient infrastructure </b>that powers Slack&rsquo;s data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack.
<br>
Our systems power critical workflows &mdash; from batch and streaming ingestion to real-time analytics and orchestration. We&rsquo;re looking for strong technical leaders who can combine <b>hands-on expertise </b>with <b>strategic impact </b>, helping to scale and evolve the backbone of Slack&rsquo;s data infrastructure as we grow.
<br>
<br>
You&rsquo;ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you&rsquo;ll be a <b>Directly Responsible Individual (DRI) </b>for one or more core data services, accountable for uptime, reliability, and performance, and a <b>subject matter expert (SME) </b>across multiple systems over time.
<br>
Here are a few examples of what we work on:<br>
</p><p></p><ul><li>Enabling more realtime OLAP capabilities for internal and external customers
</li><li>Scaling our compute and orchestration layer.
</li><li>Creating and scaling agents to enable engineers and users on their workflow and data needs
</li></ul><h3 class="jobSectionHeader"><b>What you will be doing
</b></h3><ul><li>Design, build, and operate reliable and scalable data infrastructure powering Slack&rsquo;s analytics, ML, and data-driven decision-making.
</li><li>Serve as DRI for 1&ndash;2 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance.
</li><li>Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.
</li><li>Build automation and self-service tools that empower data teams to easily adopt and manage data workflows.
</li><li>Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions.
</li><li>Contribute to observability, monitoring, and alerting via Grafana and related tooling.
</li><li>Partner with other senior engineers to define best practices, technical standards, and support models for Slack&rsquo;s data ecosystem.
</li><li>Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence.
</li></ul><h3 class="jobSectionHeader"><b>What you should have
</b></h3><ul><li>7+ years of software or infrastructure engineering experience, including time spent supporting <b>data-intensive systems </b>or <b>data platforms </b>.
</li><li>Proven experience in <b>building, deploying, and operating </b>distributed infrastructure at scale.
</li><li>Strong technical background with <b>big data and infrastructure technologies </b>&mdash; such as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems.
</li><li>Proficiency in <b>Python, Golang, Bash, and SQL </b>.
</li><li>Familiarity with <b>CI/CD (GitHub Actions) </b>, <b>Vault, Terraform, Chef, and Grafana </b>.
</li><li>Deep understanding of infrastructure reliability, observability, and cost efficiency principles.
</li><li>Hands-on experience supporting <b>data pipelines </b>or <b>data engineering workflows </b>is a strong plus.
</li><li>Excellent communication skills and the ability to collaborate across cross-functional teams.
</li><li>A strong sense of <b>ownership </b>and a drive to deliver high-impact, autonomous results.
</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent practical experience.
</li></ul><p></p><h3 class="jobSectionHeader"><b>What we value
</b></h3><p>Slack has a positive, diverse, and supportive culture&mdash;we look for people who are <b>curious, inventive, and collaborative </b>. We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, and&mdash;above all&mdash;collaborative.
</p><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $216,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Staff Software Engineer, Data Infrastructure - Slack

Notion

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 <br/>
 <br/>
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Join Notion&rsquo;s Data Platform team as we scale our infrastructure for enterprise customers. You&rsquo;ll help design and build the core data platform that powers Notion&rsquo;s AI, analytics, and search while meeting stringent security, privacy, and compliance requirements. This role focuses on the data platform layer (storage, compute, pipelines, governance) and partners closely with Security, Search Platform, AI, and Data Engineering.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and evolve the data lakehouse
   <br/>
   <br/>
  </li>
 </ul>
 Build and operate core lakehouse components (e.g., Iceberg/Hudi/Delta tables, catalogs, schema management) that serve as the source of truth for analytics, AI, and search.
 <br/>
 <br/>
 <ul>
  <li>
   Own critical data pipelines and services
   <br/>
   <br/>
  </li>
 </ul>
 Design, implement, and harden batch and streaming pipelines (Spark, Kafka, EMR, etc.) that move and transform data reliably across regions and cells.
 <br/>
 <br/>
 <ul>
  <li>
   Advance EKM and encryption-by-design
   <br/>
   <br/>
  </li>
 </ul>
 Work with Security and platform teams to integrate Enterprise Key Management (EKM) into data workflows, including file- and record-level encryption and safe key handling in Spark and storage systems.
 <br/>
 <br/>
 <ul>
  <li>
   Improve data access, auditability, and residency
   <br/>
   <br/>
  </li>
 </ul>
 Build primitives for fine-grained access control, auditing, and data residency so customers can see who accessed what, where, and under which guarantees.
 <br/>
 <br/>
 <ul>
  <li>
   Drive reliability and observability
   <br/>
   <br/>
  </li>
 </ul>
 Raise the operational bar for our data stack: improve on-call experience, debugging, and alerting for data jobs and services.
 <br/>
 <br/>
 <ul>
  <li>
   Optimize large-scale performance and cost
   <br/>
   <br/>
  </li>
 </ul>
 Tackle performance and cost challenges across Kafka, Spark, and storage for very large workspaces (20k+ users, multi-cell deployments), including cluster migrations and workload tuning.
 <br/>
 <br/>
 <ul>
  <li>
   Enable ML and search workflows
   <br/>
   <br/>
  </li>
 </ul>
 Build infrastructure to support training and inference pipelines, ranking workflows, and embedding infrastructure on top of the shared data platform.
 <br/>
 <br/>
 <ul>
  <li>
   Shape the platform roadmap
   <br/>
   <br/>
  </li>
 </ul>
 Contribute to design docs and evaluations that influence our long-term platform direction and vendor choices.
 <br/>
 <br/>
 <strong>
  Skills You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience: 5+ years building and operating data platforms or large-scale data infrastructure for SaaS or similar environments.
  </li>
  <li>
   Programming: Strong skills in at least one of Python, Java, or Scala; comfortable working with SQL for analytics and data modeling.
  </li>
  <li>
   Distributed data systems: Hands-on experience with Spark or similar distributed processing systems, including debugging and performance tuning.
  </li>
  <li>
   Streaming &amp; ingestion: Experience with Kafka or equivalent streaming systems; familiarity with CDC/ingestion patterns (e.g., Debezium, Fivetran, custom connectors).
  </li>
  <li>
   Lakehouse / storage: Experience with data lakes and table formats (Iceberg, Hudi, or Delta) and/or data catalogs and schema evolution.
  </li>
  <li>
   Security &amp; governance: Practical understanding of access control, encryption at rest/in transit, and auditing as they apply to data platforms.
  </li>
  <li>
   Cloud infrastructure: Experience with at least one major cloud provider (AWS, GCP, or Azure) and managed data/compute services (e.g., EMR, Dataproc, Kubernetes-based compute).
  </li>
  <li>
   Operations: Comfortable owning services and pipelines in production, including on-call, incident response, and reliability improvements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working directly with enterprise customers or on features like data residency, EKM, or compliance-driven auditing.
  </li>
  <li>
   Prior work on Databricks, Unity Catalog, Lake Formation, or similar catalog/governance systems.
  </li>
  <li>
   Background implementing multi-region / multi-cell data architectures.
  </li>
  <li>
   Experience building ML training/eval workflows or model/feature stores on top of a shared data platform.
  </li>
  <li>
   Familiarity with vector databases or search infrastructure, and how they integrate with upstream data systems.
  </li>
  <li>
   Experience designing or improving observability for data platforms (e.g., Honeycomb, OpenTelemetry, metrics/trace-heavy debugging).
   <br/>
   <br/>
  </li>
 </ul>
 Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
 <br/>
 <br/>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $300,000 per year.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
</div>


Software Engineer, Enterprise Data Platform

EvenUp

<div><p>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.</p><p>
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.</p><p></p><h1 class="jobSectionHeader"><b>
Life as an Engineer at EvenUp</b></h1><p></p><h1 class="jobSectionHeader"><br>
<b>
Location &amp; Work Model</b></h1><p>
This is a hybrid role, with an expectation of being in our SF office three days per week.
</p><p></p><h1 class="jobSectionHeader"><b>About the Team</b></h1><p>
The New Products Engineering team is responsible for building and launching entirely new products that directly impact how personal injury attorneys serve their clients. Over the past year, EvenUp&rsquo;s engineering and data science organization has grown rapidly &mdash; from 40 to 100+ team members &mdash; alongside major infrastructure investments, new product launches, and significant workflow improvements across data, ML, frontend, and backend systems.</p><p></p><p>
Over the next 12 months, the team will continue to scale as we deliver on an ambitious roadmap to handle 10x our current volume and introduce new AI-powered products. The work this team does directly influences customer workflows and outcomes, ultimately impacting millions of people navigating the personal injury system. A true zero-to-one product focus with high ownership and autonomy, deep collaboration across engineering, product, data, ML, and operations, and a rare opportunity to modernize a historically analog industry at scale.</p><p></p><h1 class="jobSectionHeader"><b>
Responsibilities</b></h1><ul><li><p>
Own and evolve core systems and product workflows that support the launch of new customer-facing products</p></li><li><p>
Partner closely with Product, Design, Data Science, and other Engineering teams to bring new ideas from concept to production</p></li><li><p>
Contribute to scalable, reliable, and high-quality software that can support rapid growth and increasing complexity</p></li><li><p>
Drive projects end-to-end, from early design and architecture through delivery and iteration</p></li><li><p>
Uphold high standards for performance, reliability, security, and maintainability</p></li><li><p>
Contribute to a strong, collaborative, and inclusive engineering culture</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h1><ul><li><p><b>
Execution &amp; Delivery: </b>Build, ship, and iterate on new features and products that directly impact customer workflows. Start contributing production code quickly and help establish strong foundations for new systems</p></li><li><p><b>
Architecture &amp; Quality</b>: Design, implement, and maintain scalable and maintainable backend, frontend, or full-stack systems. Write high-quality, well-tested, and production-ready code. Help define and reinforce engineering best practices as the team scales</p></li><li><p><b>
Cross-Functional Collaboration:</b> Work closely with Product Managers, Designers, Data Scientists, and other Engineers to scope and deliver impactful solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders</p></li><li><p><b>
Ownership &amp; Growth:</b> Own projects from start to finish and drive them across the finish line. Mentor and support teammates, contributing to continuous learning and improvement. Learn and apply new technologies across the stack, including ML-adjacent systems, data pipelines, and DevOps workflows</p></li><li><p><b>
Tech Stack Exposure: </b>Python, TypeScript, React, Postgres, Kubernetes, Elasticsearch, and more</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
What We Look For</b></h1><ul><li><p>
Experience building high-quality, production-ready software in backend, frontend, or full-stack environments</p></li><li><p>
Strong understanding of software design, data modeling, and system architecture</p></li><li><p>
Ability to operate effectively in fast-paced, ambiguous environments</p></li><li><p>
Proven ability to own projects end-to-end and deliver meaningful outcomes</p></li><li><p>
Clear, thoughtful communication and strong cross-functional collaboration skills</p></li><li><p>
High ownership, accountability, and a bias toward action</p></li><li><p>
Demonstrated commitment to engineering excellence and team culture</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Bonus (Nice to Have)</b></h1><ul><li><p>
Experience with Kubernetes or cloud-native infrastructure</p></li><li><p>
Exposure to machine learning, data engineering, or AI-driven products</p></li><li><p>
Prior experience in startups, scale-ups, or high-growth environments</p></li></ul><p></p><p>
#LI-Hybrid</p><p></p><p><b>
Notice to Candidates:</b></p><p>
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.</p><p>
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.</p><p><i>
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.</i></p><p></p><p><b>
Benefits &amp; Perks:</b></p><p>
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:</p><ul><li><p>
Choice of medical, dental, and vision insurance plans for you and your family</p></li><li><p>
Additional insurance coverage options for life, accident, or critical illness</p></li><li><p>
Flexible paid time off, sick leave, short-term and long-term disability</p></li><li><p>
10 US observed holidays, and Canadian statutory holidays by province</p></li><li><p>
A home office stipend</p></li><li><p>
401(k) for US-based employees and RRSP for Canada-based employees</p></li><li><p>
Paid parental leave</p></li><li><p>
A local in-person meet-up program</p></li><li><p>
Hubs in San Francisco and Toronto</p></li></ul><p><i>
Please note the above benefits &amp; perks are for full-time employees</i></p><p></p><p><i>
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i></p><p>
Compensation Range: $114.8K - $317.2K</p></div>

Senior Backend Engineer, New Products

JITX

<div><div><div>Principal Full Stack Software Engineer</div><div></div><div><br>
About JITX</div><div></div><div><br>
JITX is revolutionizing circuit board design by making it code-first. Instead of dragging components around in a GUI, engineers write code&mdash;or have AI write it for them&mdash;to define their circuit boards. We're a ~20-person startup building tools that bring software engineering practices to hardware design.</div><div></div><div><br>
The Role</div><div></div><div><br>
We're looking for a principal engineer who can drive technical direction for significant product areas and own them end-to-end. You'll work across our stack&mdash;from user management systems to our core design application&mdash;making architectural decisions that shape how electrical engineers interact with our product for years to come.</div><div></div><div><br>
As a principal engineer, you'll be expected to identify technical debt, propose solutions, and drive consensus around the right path forward. Your first major project will be reworking our user and license management system, which you'll architect and largely implement while coordinating with stakeholders across the company. As you ramp up and build context on our domain, you'll transition to working on critical core runtime components that power our circuit design engine.</div><div></div><div><br>
Beyond your individual contributions, you'll raise the bar for engineering across the team&mdash;through code reviews, technical mentorship, and establishing patterns that others can follow.</div><div></div><div><br>
What You'll Work On</div><div></div><div><br>
User Management Platform</div><ul><li>TypeScript/React frontend</li><li>Python application server</li><li>Database backend currently in PostgreSQL</li><li>Integration with modern auth solutions (WorkOS or similar)</li></ul><div></div><div><br>
Graphical User Interface Application</div><ul><li>Electron based React/TypeScript application</li><li>Custom input handling and rendering (not traditional HTML elements)</li><li>Advanced visualization using PixiJS, with potential migration to WebGL/Three.js</li><li>Complex CSS/styling for polished UI/UX</li></ul><div></div><div><br>
Application Runtime &amp; Architecture</div><ul><li>Algorithm-heavy runtime with complex computational geometry problems</li><li>User-facing Python API for programmatic circuit board design</li><li>Sophisticated architecture driving the application life cycle</li><li>Opportunity to rearchitect core systems to leverage parallel computing and modern hardware capabilities</li><li>Deep technical challenges requiring strong CS fundamentals and architectural vision</li></ul><div></div><div><br>
What We're Looking For</div><div></div><div><br>
Must-haves:</div><ul><li>Extensive full stack experience with TypeScript/React and Python, with a track record of architectural decisions at scale</li><li>Strong algorithmic problem-solving skills with understanding of complexity analysis, graph/tree data structures, and computational efficiency</li><li>Ability to drive technical direction and follow through on architectural decisions across the stack</li><li>Experience identifying technical debt, evaluating tradeoffs, and building consensus around solutions</li><li>Self-directed work style with strong product sense and ability to unblock yourself and others</li><li>Experience gathering requirements from stakeholders and translating them into technical solutions and system designs</li><li>Track record of owning large, complex features from planning through production</li><li>Ability to mentor and raise technical standards across a team through code reviews and establishing best practices</li><li>Comfortable working with ambiguity in a startup environment</li></ul><div></div><div><br>
Nice-to-haves:</div><ul><li>Experience with graphics/visualization libraries (PixiJS, Three.js, WebGL)</li><li>Background in developer tools or technical products</li><li>MongoDB and PostgreSQL experience, or other databases</li><li>Auth/identity management systems (WorkOS, Auth0, etc.)</li><li>Polyglot programming experience&mdash;comfortable across multiple languages and paradigms</li><li>Interest in hardware, electronics, or CAD tools</li></ul><div></div><div><br>
Who You Are</div><div></div><div><br>
You're a veteran software engineer who's worked across multiple environments and knows that early-stage startups offer the best combination of impact and interesting problems to solve.</div><div></div><div><br>
You have a nose for bottlenecks&mdash;you spot where things are getting stuck and jump in to help get features across the finish line. You're naturally curious about architecture, always tinkering to find proactive improvements that can ship quickly. You move fluidly across the codebase and the team, bringing speed without sacrificing quality.</div><div></div><div><br>
Your algorithmic problem-solving is strong and you don't shy away from maths and logic. You're comfortable reasoning about complexity at various levels of abstraction, working with graph and tree structures, and finding elegant solutions to hard computational problems.</div><div></div><div><br>
You're responsible with your craft. You plan, you test, you own large features end-to-end. You think about staging, reliability, and production-readiness from the start, not as an afterthought.</div><div></div><div><br>
At a principal level, you're also a multiplier. You make the engineers around you better through thoughtful code reviews, clear technical communication, and by establishing patterns that scale beyond your own code. You know when to dive deep into implementation and when to step back and focus on architecture and direction.</div><div></div><div><br>
You thrive when given ownership of a problem space. You're the person who asks &quot;why are we building this?&quot; before diving into &quot;how should we build it?&quot; You don't need your hand held, but you're not afraid to raise your hand when you need context or when you spot a problem with the plan.</div><div></div><div><br>
Why JITX?</div><div></div><ul><li><br>
Work on genuinely novel problems at the intersection of software and hardware</li><li>Small team where your work has immediate, visible impact</li><li>Help shape the future of how hardware gets designed</li><li>Collaborate with a team that cares deeply about craft and elegant solutions</li></ul></div>
<div><div>$150,000 - $250,000 a year</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Principal Full Stack Software Engineer

PayJoy

<div><div><div><b>About PayJoy</b></div><div></div><div><br>
PayJoy is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy&rsquo;s point-of-sale financing and credit cards, customers gain access to a modern quality of life. PayJoy&rsquo;s credit also allows our customers to seize opportunities as micro-entrepreneurs, and provide safety acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.</div><div></div><div><b><br>
This role</b></div><div></div><div><br>
The Staff Software Engineer &ndash; MarTech Systems is responsible for defining the architectural direction and making high-impact technical decisions that will shape the development of platforms for MarTech Systems, which drive global customer acquisition, activation, engagement, and retention.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Architect and own PayJoy&rsquo;s marketing-technology platforms, including attribution pipelines, tracking frameworks, lifecycle automation engines, personalization systems, and CRM/CDP integrations.</li><li>
Lead medium-to-large, multi-team engineering initiatives end-to-end, including problem definition, architecture design, planning, risk mitigation, execution, testing, deployment, and ongoing monitoring.</li><li>
Make high-impact technical contributions across complex distributed systems, unblocking teams and elevating system reliability, performance, and scalability.
</li><li>Define technical direction, standards, and best practices for MarTech systems, driving alignment across Engineering, Product, Marketing, and Data.</li><li>
Ensure operational excellence by establishing SLOs, improving observability, reducing incidents, managing technical debt, and maintaining high code quality.</li><li>
Represent MarTech systems in cross-functional forums, clearly communicating architectural trade-offs, risks, timelines, and business impact to senior stakeholders while influencing roadmap decisions.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li><ul><li>
10+ years of software engineering experience, with ownership of MarTech platforms, distributed systems, or large-scale data pipelines.</li><li>
Strong, hands-on experience in MarTech / Growth Engineering, including attribution, event tracking, analytics, marketing automation, personalization, and CRM/CDP integrations.</li><li>
Proven experience working with Adobe Experience Platform (AEP) and Adobe Experience Cloud (identity, audience management, data activation).</li><li>
Experience with Salesforce and at least one lifecycle marketing platform (Marketo or Braze).</li><li>
Ability to design end-to-end architecture, define a technical roadmap, and turn ambiguity into clear, scalable solutions.</li><li>
Hands-on experience with cloud-native architectures, APIs, event-driven systems, and data modeling (AWS preferred).</li><li>
Strong technical leadership as an individual contributor: influence, ownership, and decision-making.</li><li>
Excellent collaboration with Marketing, Product, and Data teams.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><ul><li><ul><li>
Experience integrating CPQ / contract systems (DealHub, Ironclad).</li><li>
Experience building in-house personalization engines or CMS.</li><li>
Exposure to AI/ML models for growth, targeting, or recommendations.</li><li>
Background in fintech or data- and marketing-heavy environments.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Benefits</b></h3><ul><li><ul><li>
Company-funded health, dental, and vision insurance for employee and immediate family</li><li>
Company-funded employee life and disability insurance</li><li>
401k contribution</li><li>
Company holidays; 20 days of vacations; unlimited sick leave</li><li>
Commuter benefit ($270/month)</li></ul></li></ul></div></div>
<div><div>$310,000 - $324,000 a year</div></div>
<div><div>PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.</div><div></div><div><b><br>
PayJoy Principles</b></div><div></div><div><br>
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency &amp; Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening</div></div></div>

Staff Software Engineer - Martech (SF)

Cardless

<div>
 Cardless is looking for an experienced backend engineer to join our exceptional team! You&rsquo;ll play a key role in designing, building, and scaling the systems that power our co-branded credit card platform spanning domains like applications, accounts, transactions, fraud, risk, and rewards.
 <br/>
 <br/>
 As a software engineer, your responsibilities will include but not be limited to the following:
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 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build scalable, secure, and high-performance backend systems and services that support Cardless&rsquo;s core financial products
  </li>
  <li>
   Contribute to architectural discussions and decisions to evolve our platform as we grow
  </li>
  <li>
   Take ownership of projects from design through production &mdash; including requirements gathering, implementation, testing, deployment, and ongoing maintenance
  </li>
  <li>
   Collaborate cross-functionally with product managers, designers, other engineers, and stakeholders (external partners, risk, compliance) to deliver high-quality features quickly and reliably
  </li>
  <li>
   Identify and drive improvements in system reliability, observability, performance, and developer experience
  </li>
  <li>
   Provide technical guidance and thought partnership to peers across the engineering organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong experience designing and implementing backend systems and services that operate at scale (typically 5+ years of industry experience)
  </li>
  <li>
   Solid understanding of distributed systems, APIs, databases, and infrastructure fundamentals
  </li>
  <li>
   Proficiency with a modern backend language (e.g. Java, Python) and ecosystem
  </li>
  <li>
   Track record of delivering complex technical projects end-to-end, collaborating effectively with cross-functional partners
  </li>
  <li>
   Deep, low-level expertise in one or more backend domains (e.g., databases, scaling systems, distributed systems)
  </li>
  <li>
   Passion for building robust, maintainable systems that have real-world impact for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience building and maintaining external, public-facing APIs
  </li>
  <li>
   Familiarity with financial systems, reconciliation workflows, or data integrity challenges
  </li>
  <li>
   Exposure to ML pipelines or feature stores
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Cardless
  <br/>
  <br/>
 </strong>
 You&rsquo;ll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We&rsquo;re building products that enable leading brands to offer credit in new ways &mdash; and we&rsquo;re just getting started.
 <br/>
 <br/>
 <strong>
  Note: This role is open to experienced (senior/staff+) engineers only
  <br/>
  <br/>
 </strong>
 This role has an annual starting salary range of $165,000-$260,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:
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 💸 Meaningful Start-up equity
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 🏥 100% health, vision &amp; dental primary coverage
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 ➕ 75% health, vision &amp; dental dependent coverage
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 🍱 Catered lunches
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 🚎 $250/month Commuter benefit
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 👶 Parental leave
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 ✈️ Team building events &amp; happy hours
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 🌴 Flexible PTO with a minimum of 15 days off per year
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 🖥️ Apple equipment
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 💸 401k plan
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 <strong>
  Location
  <br/>
  <br/>
 </strong>
 We're headquartered in San Francisco, CA, with a beautiful office in the Mission District (near Dolores Park). We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.
 <br/>
 <br/>
 We regularly bring our team together for offsites &amp; trips, about every 2 months, both for fun and for work. We cover all travel &amp; lodging in these cases.
 <br/>
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</div>


Software Engineer - Backend

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