infrastructure engineer

Notion

<div>
 
 About Us
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 Notion is looking for talented engineers to help build the next generation of our search infrastructure. This team is responsible for ensuring that all of the content that our users keep in Notion is available for search. You will provide the bedrock of our search and AI functionality by ensuring that our indexing systems and search clusters are comprehensive, instantaneous, and correct.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You&rsquo;ll denormalize, preprocess, and index any and every type of Notion comment that our users might find useful.
 </li>
 <li>
 You&rsquo;ll find opportunities up and down the stack to maintain Notion&rsquo;s stunningly quick indexing latency.
 </li>
 <li>
 You&rsquo;ll drive us towards correctness and consistency, ensuring that every change in the application is reflected in our search indices.
 </li>
 <li>
 You&rsquo;ll scale our search infrastructure up and out, owning both the hardware and the configurations of our indices.
 </li>
 <li>
 You&rsquo;ll drive us to a best-in-class position when it comes to user privacy, security, and Enterprise-level features.
 </li>
 <li>
 You&rsquo;ll own our feature-store infrastructure, making it easy for multiple teams to make high-value information quickly and cheaply available.
 </li>
 <li>
 You&rsquo;ll work with product engineers across the organization, consulting on data modeling and ingesting new types of content.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 You have experience in:
 </li>
 <ul>
 <li>
 backend engineering;
 </li>
 <li>
 data infrastructure;
 </li>
 <li>
 search infrastructure;
 </li>
 <li>
 queueing systems;
 </li>
 <li>
 at-least-once message delivery;
 </li>
 <li>
 multi-stage data pipelines; or
 </li>
 <li>
 distributed systems
 </li>
 </ul>
 <li>
 You have a track record for shipping scalable and reliable user-facing products.
 </li>
 <li>
 You thrive when collaborating cross-functionally &mdash; especially with product, design, infrastructure or data teams.
 </li>
 <li>
 You have a computer science background or equivalent technical experience.
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have experience building full-text search using, e.g: Lucene, Elasticsearch, Solr.
 </li>
 <li>
 You have experience with designing, building and maintaining complex distributed systems.
 </li>
 <li>
 You have experience with large scale data processing technologies, e.g: Spark, Flink, Kafka, Airflow, YARN/Hadoop.
 </li>
 <li>
 You have tuned the throughput of a complex asynchronous system.
 </li>
 <li>
 You have worked at a fast-growing start-up, a SaaS company, or are eager to contribute in such an environment (being a current Notion user would be great!)
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 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 due to a disability, please let your recruiter know.
 
 
 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. The estimated base salary range for this role is $180,000 - $280,000 per year.
 
 
 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 and NYLL 144.
 
 
</div>

Software Engineer, Search Platform

Aldea Inc

<div>About Aldea
Aldea is a multi-modal foundational AI company reimagining the scaling laws of intelligence. We believe today's architectures create unnecessary bottlenecks for the evolution of software. Our mission is to build the next generation of foundational models that power a more expressive, contextual, and intelligent human&ndash;machine interface. 
The Role
We are hiring a Research Engineer (Machine Learning) to build the infrastructure that powers Aldea's multi-modal AI research. You will design, optimize, and scale the training and inference systems that enable our research team to explore next-generation architectures across language, speech, and multi-modal domains. 
This is a high-leverage role where your work directly enables breakthrough research. You'll build production-grade systems supporting rapid experimentation at billion-parameter scale and real-time deployment of speech and language models. If you're passionate about building the systems that accelerate AI research, this role is for you. 
What You'll Do<ul><li>
Build and maintain distributed training infrastructure supporting researchers across language and speech domains at a billion-plus-parameter scale.</li><li>
Optimize training and inference performance across the stack, delivering significant speedups through framework optimization, custom kernels, and system-level improvements.</li><li>
Design experiment infrastructure including automated evaluation pipelines, experiment tracking, and monitoring systems that enable rapid iteration.</li><li>
Scale infrastructure from single-node to multi-node distributed training and deploy production inference systems for real-time applications.</li><li>
Support researchers with fast turnaround on infrastructure issues and maintain high reliability across all systems.</li><li>
Collaborate with research scientists, data engineers, and leadership to define technical priorities and infrastructure roadmap.</li></ul>
Minimum Qualifications<ul><li>
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.</li><li>
3+ years of experience with PyTorch and distributed training frameworks (DDP, FSDP, DeepSpeed, or similar).</li><li>
Experience training large-scale deep learning models at 1B+ parameters.</li><li>
Deep understanding of training optimization techniques including mixed precision, gradient checkpointing, and memory management.</li><li>
Proven ability to build production-grade ML infrastructure with high reliability.</li><li>
Track record of delivering significant performance optimizations in ML training or inference systems.</li></ul>
Preferred Qualifications<ul><li>
Experience with custom kernel development (CUDA, Triton) or GPU optimization.</li><li>
Hands-on experience with large-scale pretraining (100B+ tokens, ideally trillion+ scale).</li><li>
Experience optimizing inference for production: quantization, vLLM, TensorRT, or custom serving engines.</li><li>
Familiarity with speech/audio ML systems and real-time inference constraints.</li><li>
Experience building automated evaluation frameworks and experiment tracking systems.</li><li>
Knowledge of profiling tools and multi-node training across 8-32+ GPUs.</li><li>
Exposure to job orchestration systems (SLURM, Kubernetes, Ray).</li><li>
Master's or PhD in Computer Science, Machine Learning, or related field.</li></ul>
Compensation &amp; Benefits<ul><li>
Competitive base salary</li><li>
Performance-based bonus aligned with research and model milestones</li><li>
Equity participation</li><li>
Comprehensive health, dental, and vision coverage</li><li>
Flexible paid time off</li></ul> 
Aldea is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. 
Aldea uses E-Verify to confirm employment eligibility in compliance with federal law. For more information please visit: https://www.e-verify.gov. 
Please note: We do not accept unsolicited resumes from recruiters or employment agencies and will not be responsible for any fees related to unsolicited resumes.</div>

Research Engineer (Machine Learning)

<div>
 
 About Us
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 Datastore infrastructure is the backbone of any software product, and at Notion, it plays a critical role in ensuring our millions of users have a fast, reliable, and secure experience. Our Datastore Infra Team builds and maintains the systems that power the databases and caches behind every Notion feature. From scaling our relational and NoSQL databases to designing data migration frameworks, we ensure that Notion&rsquo;s data layer remains robust and future-proof.
 
 
 As part of the Datastore Infra Team, you&rsquo;ll have a unique opportunity to shape how Notion manages and scales its foundational data services, enabling innovation across the company. This role is based out of our New York City or San Francisco office.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You will drive the evolution of our datastore infrastructure to meet the needs of over 100 million global users and support the rapid growth of our product and business. This includes ensuring our systems are reliable, efficient, and scalable, while evaluating and integrating new technologies to keep us ahead of emerging challenges. Your work will empower our engineers to build features with confidence, backed by a strong datastore foundation.
 </li>
 <li>
 You will design and deliver a Datastore Platform that simplifies how teams manage and interact with data at scale. From flexible schema management to migrating hundreds of billions of records, you&rsquo;ll develop tools and frameworks that make it easier for engineers to innovate while maintaining safety, efficiency, and performance.
 </li>
 <li>
 You will develop the skills and confidence to debug live production systems with minimal disruption, whether replacing components or managing failovers. You will participate in an on-call rotation, responding to incidents to uphold service reliability and quickly restore normal operations.
 </li>
 <li>
 You will partner with product engineers and other infra teams to ensure our datastore infrastructure aligns with evolving business needs and product goals
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Familiarity with Datastore Systems: You have experience with large scale relational databases, distributed caches, and NoSQL systems. You understand how to design, scale, and optimize them to support growing business needs. Our team utilizes cloud-based datastore solutions like AWS RDS, DynamoDB, and ElastiCache to power our infrastructure.
 </li>
 <li>
 Systems thinker: You understand distributed systems and can design solutions that account for tradeoffs like consistency, latency, and scalability.
 </li>
 <li>
 Pragmatic problem-solver: You prioritize business impact and understand the balance between craft, speed, and long-term maintainability. You&rsquo;re opinionated but not ideological, and you learn new technologies as you go.
 </li>
 <li>
 Ownership and initiative: You thrive in a fast-moving, unstructured environment and are comfortable taking ownership of ambiguous problems. You act with a bias toward action and focus on results.
 </li>
 <li>
 Customer Empathy: You excel at collaborating across teams, offering guidance and solutions to unblock engineers and support them in building reliable systems. With empathy at the core of your approach, you focus on addressing the needs of those who depend on datastore infrastructure.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 Experience with change data capture tools like Debezium for real-time data replication and migrations.
 </li>
 <li>
 Experience working closely with application developers, understanding their workflows, and building datastore solutions that address their challenges, such as schema changes, performance, and data access patterns.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 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.
 
 
 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. and New York, the estimated base salary range for this role is $130,000 - $240,000 per year.
 
 
 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 and NYLL 144.
 
 
</div>

Software Engineer, Datastore

Baseten

<div>
 
 About Baseten
 
 
 
 Baseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we&rsquo;re scaling our team to meet accelerating customer demand.
 
 
 
 The Role
 
 
 
 Baseten&rsquo;s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you&rsquo;ll focus on
 
 Model API's
 
 &mdash; the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You&rsquo;ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving
 </li>
 <li>
 Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups
 </li>
 <li>
 Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving
 </li>
 <li>
 Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations
 </li>
 <li>
 Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.
 </li>
 <li>
 Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.
 </li>
 <li>
 Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.
 </li>
 <li>
 Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years experience building and operating distributed systems or large‑scale APIs.
 </li>
 <li>
 Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).
 </li>
 <li>
 Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.
 </li>
 <li>
 Comfortable debugging complex systems, from runtime internals to GPU execution traces.
 </li>
 <li>
 Strong written communication; able to produce clear design docs and collaborate across functions.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)
 </li>
 <li>
 Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.
 </li>
 <li>
 Background in developer‑facing infrastructure or open‑source APIs.
 </li>
 <li>
 We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation, including meaningful equity.
 </li>
 <li>
 100% coverage of medical, dental, and vision insurance for employee and dependents
 </li>
 <li>
 Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Company-facilitated 401(k)
 </li>
 <li>
 Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
 
 
 </li>
 </ul>
 
 Apply now
 
 to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
 
 
 
 At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
 
</div>

Software Engineer - Model API's

Block

<div><div>Proto is accelerating the world's transition to an open economy with products that increase access and independence for everyone. We're building Bitkey, a simple and safe self-custody bitcoin wallet that will put customers in control, as well as hardware and software that will help decentralize bitcoin mining and enable new and innovative use cases for bitcoin mining. We're developing these products in the open - you can read more about them at bitkey.build and mining.build. Within Proto, our Bitcoin Products team delivers the product and go-to-market strategy, software, firmware, and custom silicon needed to make Bitkey and our ambitious mining initiatives a reality. Come build the future of money with us!
<h3 class="jobSectionHeader">
The Role</h3>

Proto's vision is to contribute to the health of the bitcoin network by decentralizing both the supply of mining hardware and the distribution of hashrate. As a Senior Software Engineer, you will be a technical leader in realizing this vision through architecting and leading the development of our core mining infrastructure platform.

Our competitive advantage lies in our proven track record: we've shipped tens of millions of reliable devices, excel in operations, maintain consistent supply chains, and have built strong customer support capabilities across multiple business lines. We bring unique customer focus and go-to-market capabilities to the mining space, where Block is recognized as a leader in the bitcoin ecosystem.

You Will
<ul>
<li>Architect and lead mission-critical, real-time mining infrastructure</li>
<li>Establish engineering standards and drive technical decisions</li>
<li>Develop integration frameworks for mining hardware and tools</li>
<li>Mentor engineers and provide cross-team technical leadership</li>
<li>Drive technical planning for major platform initiatives</li>
<li>Lead architecture reviews and technical deep dives</li>
<li>Shape technical strategy with leadership</li>
<li>Review external contributions while maintaining quality</li>
</ul>
You Have
<ul>
<li>8+ years professional software development experience</li>
<li>Expert knowledge in Go, Rust, Typescript, or equivalent systems languages</li>
<li>Proven leadership in complex technical initiatives and architecture</li>
<li>Strong background in API design and real-time system architecture</li>
<li>Experience building large-scale, mission-critical infrastructure at scale</li>
<li>Experience designing transactional and analytical databases</li>
<li>System design skills focused on scalability, reliability, and performance</li>
<li>Strong technical documentation and community engagement skills</li>
<li>Understanding of open source security best practices</li>
<li>Track record of building inclusive technical communities</li>
<li>Proficiency integrating AI tools into development workflows</li>
<li>Familiarity with bitcoin mining hardware and protocols</li>
</ul>
Technologies We Use and Teach
<ul>
<li>Primary: Go, Rust, Typescript</li>
<li>Infrastructure: gRPC, Protocol Buffers, Docker</li>
<li>Data Streaming &amp; Messaging: Kafka, MQTT</li>
<li>Cloud &amp; Deployment: AWS, Kubernetes</li>
<li>Databases: MySQL, InfluxDB, TimescaleDB</li>
<li>Monitoring: Prometheus, Grafana</li>
</ul>
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.<div><div><div> 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</div><div> 
Zone A:</div><div>
$217,800&mdash;$326,800 USD</div></div><div><div>
Zone B:
</div><div>$207,000&mdash;$310,400 USD</div></div><div><div>
Zone C:</div><div>
$196,100&mdash;$294,100 USD</div></div><div><div>
Zone D:</div><div>
$185,200&mdash;$277,800 USD</div></div></div><div>
Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us at privacy@block.xyz with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Senior Software Engineer, Fullstack - Proto Fleet

DoorDash

<div><h2 class="jobSectionHeader">About the Team</h2>

The Backend Developer Experience (DevEx) team builds the core systems, tools, and environments that empower engineers to develop, test, and ship high-quality services quickly and confidently. We own and evolve the developer experience for DoorDash's backend monorepos, maintain the Bazel-based build ecosystem, provide the paved-path DevContainers-based development platform for engineers &amp; agentic workflows, and develop IDE and tooling. Our mission is to remove friction, improve iteration speed, and ensure a consistent, reliable developer experience across every stage of DoorDash's software development lifecycle.
<h2 class="jobSectionHeader">
About the Role</h2>

As a Software Engineer on the Backend Developer Experience team, you will shape how engineers build, test, and ship code at DoorDash. You'll design and develop the core systems and tooling that backend engineers rely on every day, from Bazel language rules and monorepo libraries/workflows, to high-fidelity DevContainer environments, to agentic, productivity-enhancing AI workflows.

Your work will directly improve build and test performance, monorepo reliability, developer onboarding, and the overall productivity of thousands of engineers. You'll have the opportunity to work on high-impact, large-scale developer infrastructure that powers a global engineering organization.

Join us to help define the future of DoorDash's developer experience, build systems used daily across the company, and collaborate with a team committed to creating a fast, reliable, and joyful developer experience. You will report into the Engineering Manager of our Backend Developer Experience team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY
<h2 class="jobSectionHeader">
You're excited about this opportunity because you will&hellip;</h2>
<ul><li>Improve the developer workflow inside our monorepos through tooling, automation, and paved-path standards.</li>
<li>Build and evolve the Bazel-based backend build ecosystem, including rules for Go, Python, and Kotlin.</li>
<li>Develop and enhance DevContainer-based local and remote development environments that offer fast, consistent, and production-faithful developer workflows.</li>
<li>Create and extend IDE plugins and tooling that streamline code navigation, build/test, and rapid feedback loops.</li>
<li>Contribute to AI-native developer tooling, enabling intelligent workflows for code generation, testing, debugging, and knowledge retrieval.</li>
<li>Design and build robust, scalable internal systems with engineering excellence and long-term maintainability in mind.</li>
</ul><h2 class="jobSectionHeader">We're excited about you because&hellip;</h2>
<ul><li>You have 2+ years of experience in backend, infrastructure, or developer experience engineering.</li>
<li>You're proficient in Go, Python, Kotlin, or other modern backend languages.</li>
<li>You've worked with build systems (e.g., Bazel, Gradle) or have built developer tooling, frameworks, or platform components that improve developer productivity.</li>
<li>You have hands-on experience with large-scale monorepos and understand the challenges of operating in them.</li>
<li>You're familiar with Bazel, remote build execution, and build caching.</li>
<li>You have experience with DevContainers, IDE extensions, or other local development tooling.</li>
<li>You have knowledge of Docker, Kubernetes, and cloud infrastructure.</li>
<li>You have a background in building AI-assisted developer tools or integrating LLM-backed workflows.</li>
<li>You're motivated by making engineers' lives better across the stack by improving developer workflows, performance, and reliability, and you enjoy eliminating toil and inefficiencies across the company.</li>
</ul><div><h2 class="jobSectionHeader">About DoorDash</h2>

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
<h2 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h2>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &quot;protected categories,&quot; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.</div></div>

Software Engineer, Backend Developer Experience

LendingClub

<div><h3 class="jobSectionHeader">Current Employees of LendingClub: Please apply via your internal Workday Account</h3>
LendingClub Corporation (NYSE: LC) is the parent company of LendingClub Bank, National Association, Member FDIC. We are the leading digital marketplace bank in the U.S., having helped our nearly 5 million members secure over $90 billion in loans to refinance high-cost debt and achieve their financial goals. Members today have mobile-first access to a growing range of products and services designed to work seamlessly together to deliver value in new ways. Everyone deserves a better financial future, and our team is committed to making that a reality. Join the Club!<h2 class="jobSectionHeader">
About the Role</h2>
Our mission at LendingClub is to empower those who strive to achieve better financial health. The data Platform Team plays a crucial role in achieving our mission.
 
 
We are seeking a Sr ML Platform Engineer for our Data Platform Team to help build and scale the ML platform and infrastructure that powers data-driven decision-making across the company. This role focuses on enabling multiple business functions such as credit risk, fraud detection, marketing, and operations - to experiment, deploy, and monitor machine learning models efficiently and responsibly.
 
 
You&rsquo;ll work closely with data scientists, data engineers, and product teams to create a unified, secure, and compliant ML ecosystem that accelerates innovation while ensuring model transparency, performance, and governance.<h2 class="jobSectionHeader">
What You'll Do</h2><div><ul><li>
 Design, build, and maintain scalable machine learning infrastructure - including feature stores, model registries, and deployment pipelines - to enable efficient model experimentation and productionization</li><li>
Implement end-to-end MLOps practices for automated continuous training, testing, deployment, versioning of workflows, and monitoring of ML models using modern frameworks (e.g., MLflow, SageMaker, Databricks, Kubeflow)</li><li>
Build and maintain scalable ML pipelines for data ingestion, feature engineering, training, and deployment, ensuring reliability, observability, and compliance with LendingClub&rsquo;s data security policies</li><li>
Collaborate closely with data scientists to transition prototypes into robust, production-grade solutions - ensuring reproducibility, performance optimization, and version control</li><li>
Build standards, tools and libraries to streamline model lifecycle operations (training, evaluation, deployment) for other teams across LendingClub</li><li>
Create and maintain monitoring systems for model performance, data drift, and feature quality - with automated alerting and retraining triggers</li><li>
Ensure compliance and governance of ML assets through audit logging, explainability tooling (SHAP, LIME, feature attribution), and model documentation practices that align with regulatory standards (e.g., Fair Lending, FCRA)</li><li>
Integrate ML systems with business applications, APIs, and microservices to deliver real-time intelligence to customer-facing and internal decisioning systems</li><li>
Collaborate with platform, DevOps, and security teams to establish standardized infrastructure, CI/CD pipelines, and deployment environments for ML workloads</li><li>
Drive adoption of Responsible AI principles - ensuring fairness, interpretability, and transparency in models used for credit, risk, and customer decisions</li><li>
Automate evidence packaging for internal audits and regulatory reviews, including data lineage, test results, and approval history</li><li>
Conduct performance benchmarking and cost optimization for ML workloads across cloud and compute resources</li></ul></div><h2 class="jobSectionHeader">
About You</h2><div><ul><li>
6+ years of experience in Machine Learning Engineering, Data Engineering, or MLOps</li><li>
Bachelor's degree or higher in a related field; or equivalent work experience
</li><li>Strong foundation in ML engineering, with experience building and scaling pipelines and platforms in production</li><li>
Proficient in Python and experienced with data transformation and orchestration tools such as dbt (for modeling), Dagster (for orchestration), and Databricks (for large-scale data and model workflows)</li><li>
Deep understanding of the end-to-end ML lifecycle, from data ingestion and feature engineering to model deployment and monitoring</li><li>
Hands-on experience or interest in data quality and observability frameworks, such as Elementary, and you appreciate how data reliability underpins model performance</li><li>
Experience implementing or supporting MLOps practices using frameworks like MLflow, SageMaker, or similar tools within Databricks or AWS</li><li>
Comfortable working in a cloud-native environment (AWS preferred) and using infrastructure-as-code (Terraform, CloudFormation) to automate deployments</li><li>
Strong collaboration skills and the ability to partner with data engineers, data scientists, and product teams to make ML accessible, reliable, and compliant across domains</li><li>
You thrive in a FinTech environment, balancing innovation with rigor around governance, explainability, and model monitoring.</li></ul></div><div> 
Nice to have skills:</div><div><ul><li>
Experience with LLM integration (RAG pipelines, vector databases)</li><li>
Exposure to risk modeling, credit scoring, or fraud detection systems</li><li>
Familiarity with FinTech data privacy laws and model documentation standards</li><li>
Contributions to open-source ML infrastructure or platform components</li></ul>
Work Location
 
San Francisco 
 
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role&rsquo;s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role&rsquo;s success, and remote placement will not be considered. LendingClub offers relocation, based on actual job level.
 
 
Time Zone Requirements
 
Primarily PT 
 
While the position will primarily work local hours, LendingClub is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary. 
 
Travel Requirements
 
As needed travel to LendingClub offices and/or other locations, as needed.
 
 
Compensation
 
The target base salary range for this position is 176,000-205,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of LendingClub&rsquo;s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings). 
 
We&rsquo;re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
 
 
#LI-Hybrid
 
#LI-JH1 
</div> 
LendingClub is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 
We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at interviewaccommodations@lendingclub.com.</div>

Sr ML Ops Engineer

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