software engineer

machine learning engineer Jobs in San Francisco

machine learning engineer

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

ai engineer, ai & data platforms (aidp)

applied ai engineer Jobs in San Francisco

applied ai engineer

data analyst

big data engineer

ACR Technology Inc

Job Description: Data Engineer Eligibility: Only U.S. Citizen or Green Card Responsibilities Design, build, and maintain scalable ETL pipelines, data workflows, and data warehousing solutions for analytics and reporting. Develop and optimize data modeling solutions, databases, and large-scale datasets using platforms such as Google BigQuery, Hive, and cloud-native technologies. Write and optimize complex SQL queries and implement Python, Spark, and Scala-based data transformations. Build and maintain batch and streaming data pipelines using Spark, PySpark, Scala, and messaging systems such as Kafka. Orchestrate workflows and automate data processes using Apache Airflow. Integrate data from multiple sources, including third-party systems via REST APIs, ensuring data quality, consistency, governance, and compliance. Collaborate with product, engineering, and business teams to translate requirements into scalable technical solutions. Test, deploy, monitor, and support data solutions across cloud environments (AWS, Azure, or GCP). Document processes, contribute to continuous improvement initiatives, and provide technical guidance to users and cross-functional teams.Qualifications 5+ years of experience in data engineering, analytics, or related fields. Advanced proficiency in SQL and strong programming skills in Python and/or Scala. Hands-on experience with ETL processes, data modeling, and data warehousing concepts. Experience working with cloud data platforms such as Google BigQuery, AWS, or Azure. Strong experience with Spark (PySpark/Scala) and big data technologies such as Hive and Kafka. Experience building and managing workflows using Apache Airflow. Experience integrating systems using REST APIs. Knowledge of data governance, data quality, and compliance best practices. Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience.Pay: $60.00 - $70.00 per hourWork Location: In person

Data Engineer (Only local to California, W2, GC and USC )

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data integrations using AWS technology stack as part of the team's Data as a Service portfolio for Adobe&rsquo;s Digital Experience enterprise customers.
 
 
 Customer facing Engineers who enjoy tackling complex technical challenges, have a passion for delighting customers and who are self-motivated to push themselves in a team oriented culture will thrive in our environment
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Collaborate with Data architects, Enterprise architects, Solution consultants and Product engineering teams to capture customer data integration requirements, conceptualize solutions &amp; build required technology stack
 </li>
 <li>
 Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions
 </li>
 <li>
 Develop new features and improve existing data integrations with customer data ecosystem
 </li>
 <li>
 Encourage team to think out-of-the-box and overcome engineering obstacles while incorporating new innovative design principles.
 </li>
 <li>
 Collaborate with a Project Manager to bill and forecast time for customer solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience as an enterprise Data Engineer from a consulting background
 </li>
 <li>
 AWS Certified Data Engineer &ndash; Associate or AWS Certified Cloud Practitioner
 </li>
 <li>
 5+ years experience in building/operating/maintaining fault tolerant and scalable data processing integrations using AWS
 </li>
 <li>
 7+ years experience in Python programming language preferably using PySpark
 </li>
 <li>
 Software development experience working with Apache Airflow, MongoDB, MySQL
 </li>
 <li>
 Strong capacity to manage numerous projects are a must
 </li>
 <li>
 Experience using Docker or Kubernetes is a plus
 </li>
 <li>
 BS/MS degree in Computer Science or equivalent industry experience
 </li>
 <li>
 Ability to identify and resolve problems associated with production grade large scale data processing workflows
 </li>
 <li>
 Excellent communication skills (we&rsquo;re a geographically distributed team)
 </li>
 <li>
 Experience creating and maintaining unit tests and continuous integration.
 </li>
 <li>
 Passion for creating Intelligent data pipelines that customers love to use.
 
 
 </li>
 </ul>
 Special Consideration given for
 
 
 <ul>
 <li>
 Experience &amp; knowledge with Web Analytics or Digital Marketing
 </li>
 <li>
 Experience &amp; knowledge with Customer Data Platform (CDP) or Data Management Platform (DMP)
 </li>
 <li>
 Experience &amp; knowledge with Adobe Experience Cloud solutions
 
 
 </li>
 </ul>
 Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $114,100 -- $214,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
 
 In California, the pay range for this position is $148,500 - $214,950 In New York, the pay range for this position is $148,500 - $214,950 In Washington, the pay range for this position is $135,100 - $195,550
 
 
 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
 
 In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
 
 
 State-Specific Notices:
 
 
 
 
 California:
 
 
 
 
 Fair Chance Ordinances
 
 
 
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
 
 
 
 Colorado:
 
 
 
 
 Application Window Notice
 
 
 
 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
 
 
 Massachusetts:
 
 
 
 
 Massachusetts Legal Notice
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Data Engineer

Intercom

<div><div>Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.</div><div><h2 class="jobSectionHeader">
What's the opportunity?</h2>

Intercom is building a GTM Data Products team to embed machine learning and AI directly into our Sales and Marketing workflows.

We are hiring a Senior GTM Data Scientist to design and deploy predictive systems that materially improve:
<ul>
<li>Customer acquisition (e.g. via lead scoring, attribution)</li>
<li>Sales efficiency (e.g. via book carves, sales quotas)</li>
<li>Customer retention and expansion (e.g. via revenue prediction)</li>
</ul>
This is not a reporting role.

This role owns end-to-end data products - from problem framing and modeling to deployment and operational integration - that directly influence how our GTM organization prioritizes leads, manages accounts, allocates resources, and drives revenue.

You&rsquo;ll work closely with Marketing, Sales, and RevOps leadership to build ML-powered systems that change how decisions are made at scale.

If you are excited about building applied machine learning systems that generate measurable revenue impact, this role is for you.
<h2 class="jobSectionHeader">
What will I be doing?</h2>
<div><ul><li>Build Revenue-Impacting ML Systems</li></ul>
</div><ul><li>Develop, deploy, optimize predictive models (lead scoring, account prioritization, marketing attribution, revenue estimation)</li>
<li>Productionize models into operational systems (Salesforce, Marketo, outbound workflows)</li>
<li>Monitor model performance and iterate for measurable business lift</li>
<li>Design and implement experimentation frameworks (A/B testing, holdouts, incremental lift measurement)</li>
<li>Apply advanced techniques when appropriate (e.g., causal inference, uplift modeling, segmentation, LTV modeling)</li>
</ul>
You don&rsquo;t just build models - you ensure they change behavior.
<div>
<ul><li>Own End-to-End Data Products</li></ul>
</div><ul><li>Translate ambiguous business problems into clear, measurable objectives</li>
<li>Define GTM data products vision, success metrics, and roadmap</li>
<li>Ensure integration into existing workflows and systems</li>
<li>Lead stakeholder alignment and change management</li>
<li>Secure buy-in from system owners before replacing or enhancing existing solutions</li>
</ul>
You operate as a mini GM for your data products.

 3. Architect Scalable Data Foundations
<ul>
<li>Design robust data pipelines and modeling infrastructure in collaboration with Data Engineering / Data Infrastructure</li>
<li>Ensure data quality, governance, and reproducibility</li>
<li>Elevate the team&rsquo;s standards for experimentation, documentation, and knowledge sharing</li>
<li>Push adoption of new tools and AI capabilities where appropriate</li>
</ul>
You raise the technical bar for the GTM organization.
<h2 class="jobSectionHeader">
What impact might I have?</h2>

Within 6-12 months, you might:
<ul>
<li>Launch predictive models that materially improve conversion, expansion, or retention</li>
<li>Reduce inefficiencies in Sales workflows through automation</li>
<li>Help leadership make investment decisions backed by rigorous data science</li>
<li>Influence GTM strategy through quantitative insight and modeling</li>
</ul>
Success is measured in business outcomes - not dashboards built.
<h2 class="jobSectionHeader">
What we&rsquo;re looking for</h2>

Experience
<ul>
<li>5+ years in Data Science, Applied ML, or Advanced Analytics</li>
<li>Experience building predictive models deployed into production environments</li>
<li>Experience working with Sales, Marketing, or GTM teams in a B2B SaaS environment preferred</li>
<li>Proven track record influencing senior stakeholders through data</li>
</ul>
Technical Skills
<ul>
<li>Expert-level SQL</li>
<li>Advanced Python or R for modeling and experimentation</li>
<li>Strong foundation in statistics and experimental design</li>
<li>Experience with:</li>
<li><ul><li>Predictive modeling</li>
<li>Feature engineering</li>
<li>Model evaluation &amp; validation</li>
<li>Causal inference or uplift modeling (strong plus)</li>
<li>Model deployment &amp; monitoring (strong plus)</li>
</ul></li>
</ul>Mindset &amp; Leadership

You are:
<ul>
<li>A trusted advisor who influences strategy, not just execution</li>
<li>Deeply curious about the &ldquo;why&rdquo; behind business metrics</li>
<li>Comfortable operating with autonomy in ambiguous environments</li>
<li>AI-first: you look for opportunities to automate, optimize, and scale</li>
<li>Clear and compelling in communication - you turn complex models into strategic decisions</li>
<li>Impact-oriented: you prioritize work that moves revenue</li>
</ul><h2 class="jobSectionHeader">Benefits</h2>

We are a well-treated bunch with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us! :)
<ul>
<li>Competitive salary and meaningful equity</li>
<li>Comprehensive medical, dental, and vision coverage</li>
<li>Regular compensation reviews - great work is rewarded!</li>
<li>Flexible paid time off policy</li>
<li>Paid Parental Leave Program</li>
<li>401k plan &amp; match</li>
<li>In-office bicycle storage</li>
<li>Fun events for Intercomrades, friends, and family!</li>
</ul>
<ul><li>Proof of eligibility to work in the United States is required</li></ul>

The base salary range for candidates within the San Francisco Bay Area is $197,600 - $246,713. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid</div><div>
Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Senior GTM Data Scientist New

Aarki

<div>
 
 Who are we?
 
 
 
 Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
 
 
 
 The role?
 
 
 
 We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
 </li>
 <li>
 Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
 </li>
 <li>
 Analyze the impact of integrating new data sources and features into our models.
 </li>
 <li>
 Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
 </li>
 <li>
 Document experiments, assumptions, and outcomes; maintain reproducibility
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or a related technical field.
 </li>
 <li>
 At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
 </li>
 <li>
 Experience with machine learning techniques such as regression, classification, and clustering.
 </li>
 <li>
 Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Strong grasp of probability, statistics, and data analysis principles.
 </li>
 <li>
 Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Familiarity with system programming languages including C++ and Rust is a plus.
 </li>
 <li>
 Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
 </li>
 <li>
 Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.
 </li>
 </ul>
</div>

Machine Learning Engineer

Brex

<div><div>Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises &mdash; including DoorDash, Flexport, and Compass &mdash; use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</div>
Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level &mdash; from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.

What you'll do

As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:
<ul>
<li>Collaborate with engineers across the company to build new features and products end-to-end.</li>
<li>Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.</li>
<li>Design and implement solutions to improve our customers' banking experiences.</li>
<li>Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.</li>
<li>Tune and polish features to a high degree of excellence.</li>
</ul>
Requirements:
<ul>
<li>7+ years of professional experience designing, developing, and deploying full-stack applications.</li>
<li>Experience building and designing scalable backend systems</li>
<li>Experience working with SQL or NoSQL databases</li>
<li>Experience working with backend programming languages (Java, Kotlin, Python)</li>
<li>Familiarity with software engineering development cycles</li>
<li>Ability to hold yourself and the team to high standards</li>
<li>Strong communication and interpersonal skills</li>
</ul>
Compensation:

The expected salary range for this role is $192,000-$240,000 + Equity. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.<div>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.</div></div>

Senior Software Engineer, Product

MERCOR

<div>A prestigious tech company is seeking a Software Engineer II to join their Safe Ads Experiences (SAE) team. This team is building the next-generation data collection platform SPECTRA, which will shape the future of how human-labeled data is collected and used in the company's systems. The role offers the opportunity to impact responsible advertising, user data privacy, and public trust through data-driven insights.
Responsibilities<ul><li>
Drive technical implementation and testing of complex data pipeline features within the SPECTRA platform, ensuring robust end-to-end functionality and meeting project release timelines
</li><li>Design and develop data processing pipelines using SQL and Python to handle large-scale data collection, transformation, and quality monitoring workflows
</li><li>Build and maintain dashboards and visualization tools to provide visibility into data quality, rater performance, and platform metrics for stakeholders across multiple teams
</li><li>Create comprehensive end-to-end tests and monitoring alerts to ensure platform reliability, data integrity, and proactive identification of issues in the data collection workflow
</li><li>Debug and troubleshoot complex data flow issues across the SPECTRA platform, identifying root causes and implementing solutions to maintain high system availability
</li><li>Collaborate closely with Technical Leads and engineering teams to implement backend data processing logic and ensure adherence to development standards and best practices
</li><li>Partner with Product Data Operations (PDO) teams to coordinate human labeling workflows, budget planning, vendor management, and rater performance optimization
</li><li>Work with Taxonomists and Data Labeling Analysts to ensure proper data classification, labeling guidelines implementation, and quality assurance processes
</li><li>Coordinate with vendor partners to support external data collection operations, ensuring seamless integration with SPECTRA's multi-review and quality monitoring systems
</li><li>Support smart sampling initiatives and targeted data collection strategies that have delivered significant cost savings and improved data quality across advertising systems
</li></ul>Qualifications<ul><li>
Experience in SQL development writing complex queries, data transformations, and working with large datasets in production environments
</li><li>Proficient in Python with experience in data processing, automation, and pipeline development using object-oriented programming principles
</li><li>Experience with data engineering pipelines including ETL processes, data modeling, and building scalable data processing workflows
</li><li>Hands-on experience with data visualization and dashboard tools such as Tableau or similar platforms for creating actionable insights from large datasets
</li><li>Strong analytical and problem-solving skills with demonstrated ability to debug complex data issues and implement effective solutions
</li><li>Experience with data quality monitoring and automated testing frameworks to ensure data accuracy, completeness, and reliability
</li></ul><div>Preferred Qualifications: 
<ul><li>Degree in Computer Science or related field</li><li>Machine Learning experience with understanding of ML model training data requirements, feature engineering, and model evaluation metrics</li><li>Experience building and scaling large products or systems</li><li>Experience with building privacy and ads-related products is a big plus</li><li>Experience working with human labeling and annotation systems including workflow design, quality assurance, and vendor management in data collection operations</li><li>Prior experience working with the company or its internal tools is a plus
</li></ul></div>Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. 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, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
About Cincinnatus
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.
Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.
Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.
Equal Employment Opportunity
Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.
Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.</div>

Software Engineer II

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 Plaid&rsquo;s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid&rsquo;s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid&rsquo;s engineering teams to move quickly and safely. You&rsquo;ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product&rsquo;s lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design &amp; Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users.
 </li>
 <li>
 Infrastructure &amp; Data Platforms: Develop and improve infrastructure for data storage and processing &ndash; for example, high-performance databases and modern data processing frameworks &ndash; to handle Plaid&rsquo;s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively.
 </li>
 <li>
 Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely.
 </li>
 <li>
 Security &amp; Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance.
 </li>
 <li>
 Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently.
 </li>
 <li>
 Technical Excellence &amp; Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired.
 </li>
 <li>
 Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals.
 </li>
 <li>
 Distributed Systems &amp; Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability.
 </li>
 <li>
 Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.
 </li>
 <li>
 Collaboration &amp; Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment. You can collaborate closely with other engineers, product managers, and stakeholders, and you&rsquo;re able to explain complex technical concepts in simple terms when needed.
 
 
 </li>
 </ul>
 $163,200 - $223,200 a year
 
 
 The target base salary for this position ranges from $163,200/year to $223,200/year in San Francisco and New York.
 
 
 The base salary range listed for this full-time position excludes equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
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Software Engineer - Platform

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