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backend engineer, underwriting

backend software engineer

Lumafield

<div>
 
 
 About Lumafield:&nbsp;
 
 
 
 
 
 
 Lumafield was founded in 2019 to upgrade manufacturing.
 
 
 
 
 
 We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.
 
 
 
 
 
 Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.
 
 
 
 
 
 We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We&rsquo;re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.
 
 
 
 
 
 Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA.
 
 
 
 
 
 
 About the role:&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 On Lumafield&rsquo;s Backend team, you work on the core of our cloud platform from REST APIs through to massively parallelized data processing pipelines operating on our X-Ray and CT image data. We leverage Python in order to move quickly but ensure that we&rsquo;re getting the most out of the language through usage of powerful frameworks and parallelism concepts. Our backend team also owns their code all the way through deployment; you&rsquo;ll work to build your code into Docker containers and deploy them to our different environments including cloud Kubernetes clusters and on-premises servers.
 
 
 
 &nbsp;
 
 
 
 
 
 
 What you'll do:
 
 <ul>
 
 <li>
 
 
 Use Python, Django and Django Rest Framework (DRF) to implement cloud backend APIs
 
 
 </li>
 
 <li>
 
 
 Use Python, Django, and Celery to implement highly parallelized large dataset processing tasks ranging up to 100s of GBs of data
 
 
 </li>
 
 <li>
 
 
 Design for and deploy your code to our AWS environment leveraging EKS, S3, CloudFront, and other AWS technologies
 
 
 </li>
 
 <li>
 
 
 Work closely with our research and algorithms team to incorporate cutting edge algorithms into our production codebases
 
 
 </li>
 
 <li>
 
 
 Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables.
 
 
 </li>
 
 <li>
 
 
 Get your hands dirty and build - expect to be hands-on and building regularly
 
 
 </li>
 
 
 </ul>
 
 
 
 
 About you:
 
 <ul>
 
 <li>
 
 
 Bachelor's Degree in Engineering or related field
 
 
 </li>
 
 <li>
 
 
 2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.)
 
 
 </li>
 
 <li>
 
 
 Experience with large dataset processing using numpy
 
 
 </li>
 
 <li>
 
 
 Strong software engineering fundamentals including git, unit testing, pull request reviews, module/interface design, and applications using parallelism and concurrency.
 
 
 </li>
 
 <li>
 
 
 Strong team collaboration, communication and interpersonal skills
 
 
 </li>
 
 <li>
 
 
 Experience with Linux server administration, network troubleshooting, docker deployments, productionizing systems
 
 
 </li>
 
 
 </ul>
 
 
 
 
 Bonus points for:
 
 <ul>
 
 <li>
 
 
 Experience with Agile Development practices
 
 
 </li>
 
 <li>
 
 
 Experience with AWS including EKS, S3, CloudFront, or similar
 
 
 </li>
 
 <li>
 
 
 Experience with image processing pipelines and/or image acquisition
 
 
 </li>
 
 <li>
 
 
 Experience in configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.
 
 
 
 
 
 
 Lumafield offers both competitive cash and equity compensation, as well as a health &amp; wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!&nbsp;
 
 
 
 
 
 Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don&rsquo;t meet every single requirement listed? We encourage you to apply anyway &ndash; If you&rsquo;re excited about our technology, the opportunity, and are eager to learn more we&rsquo;d love to hear from you!&nbsp;&nbsp;
 
 
 
 
 
 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, disability, genetic information or veteran status.&nbsp;
 
 
 
 
 
 Reach out if you want to be a part of what we are building.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
 
 
 
 The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant.
</div>

Backend Software Engineer

Resourceful Talent Group

<div>Compensation: $185,000 to $260,000 base + meaningful early-stage equity
About the Role
We are hiring a Founding Product Engineer for our client, a well-funded, fast-growing AI startup that is transforming how professional services firms operate through intelligent automation.
With strong customer traction, paying clients already using the product, and an ambitious roadmap ahead, they&rsquo;re looking for an exceptional engineer who wants to help build a category-defining product from the ground up. This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.
What You&rsquo;ll Do<ul><li>
Build and ship product features across the full stack, from concept to production</li><li>
Design scalable frontend and backend solutions using modern web technologies</li><li>
Develop integrations with third-party platforms and APIs</li><li>
Build AI-powered features using LLMs and agent-based workflows</li><li>
Collaborate closely with the founders on product strategy, technical decisions, and roadmap planning</li><li>
Move quickly, solve complex problems, and continuously improve the product based on customer feedback</li></ul><ul><li>
2 to 7 years of professional software engineering experience</li><li>
Strong experience with TypeScript, React, Next.js, Node.js, and SQL or PostgreSQL</li><li>
Experience building and shipping production-ready full-stack applications</li><li>
Hands-on experience working with LLMs, AI tools, or agentic systems</li><li>
Ability to take ownership and thrive in a fast-paced startup environment</li><li>
Strong product mindset and passion for building user-focused software</li><li>
Excellent communication and problem-solving skills</li></ul>
Nice to Have<ul><li>
Experience working at a seed or Series A startup</li><li>
Experience building API integrations or workflow automation tools</li><li>
Exposure to AI-first products or automation platforms</li><li>
Previous experience as an early engineering hire or working directly with founders</li></ul>
Why Join?<ul><li>
Competitive base salary of $185K to $260K</li><li>
Meaningful early-stage equity</li><li>
Opportunity to become one of the first engineering hires</li><li>
Work directly with experienced founders who have successfully built and scaled startups</li><li>
Join a company with proven market demand and paying customers</li><li>
Hybrid schedule in San Francisco (3 days in office)</li><li>
Relocation assistance available</li><li>
Visa transfer support for qualified candidates</li><li>
High-impact role with significant ownership and opportunities for growth</li></ul></div>

Founding Product Engineer

Sift

<div>
 
 About Sift
 
 
 
 Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
 
 
 Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
 
 
 
 In This Role, You'll
 
 
 
 <ul>
 <li>
 Build and maintain full stack features across our web application and data processing backend for complex telemetry data
 </li>
 <li>
 Create intuitive user interfaces for data exploration while optimizing for large real-time datasets
 </li>
 <li>
 Implement efficient APIs and data access patterns for real-time data streaming
 </li>
 <li>
 Collaborate with data platform and frontend teams on service design and implementation
 </li>
 <li>
 Write clean, maintainable code and participate in technical design discussions
 
 
 </li>
 </ul>
 
 The Skillset You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in full-stack software development
 </li>
 <li>
 Experience building production applications with technologies like React, NextJS, TypeScript, Go, Rust, and Python
 </li>
 <li>
 Familiarity with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with technical visualization tools (WebGL, D3.js, Apache ECharts) and time-series data
 </li>
 <li>
 Knowledge of WebAssembly and browser-based computation
 </li>
 <li>
 Background in scientific computing or technical data visualization
 </li>
 <li>
 Experience building tools for technical users (dashboards, data-editing environments)
 </li>
 <li>
 Built and launched side projects with consistent usage traffic
 
 
 </li>
 </ul>
 
 Engineering At SIFT
 
 
 
 You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
 
 
 <ul>
 <li>
 Web frontend &amp; backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
 </li>
 <li>
 Data: Arrow, DataFusion, Flink, Parquet, and Rust
 </li>
 <li>
 Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 Sift&rsquo;s headquarters is in
 
 Marina Del Rey, CA
 
 (Next to LAX). We collaborate
 
 in person
 
 twice a week&mdash;on
 
 Mondays and Thursdays
 
 &mdash;and come together for a full week every two months. We are open to
 
 relocating candidates to LA
 
 or
 
 working from our San Francisco
 
 office for the right candidate.
 
 
 Salary range: $150,000 - $200,000 per year. Plus equity and benefits.
 
 
 
 Eligibility
 
 
 
 
 U.S. Person Required
 
 : Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.
</div>

Software Engineer, Full Stack

Heliux

<div>
 
 About Heliux
 
 
 
 Heliux is a software platform that unifies and accelerates enterprise-wide operations for manufacturers. Our centralized operating system models cross-functional teams, workflows, and data into a single system of execution.
 
 
 Powering organizations across engineering, planning, supply chain, production, quality, accounting, and more, Heliux enables manufacturers to intelligently optimize end-to-end operational and financial performance.
 
 
 Headquartered in San Francisco, CA, Heliux is on a mission to drive unprecedented velocity in manufacturing. We&rsquo;re proudly backed by New Stack Ventures, Marlinspike, Humba Ventures, Amplify.LA, Crosscut Ventures, and Lux Capital.
 
 
 
 About The Role
 
 
 
 Engineers at Heliux are directly responsible for end-to-end design, development, and delivery of our core software platform:
 
 
 <ul>
 <li>
 Acquire expertise in hardware engineering and manufacturing through immersive, hands-on problem-solving with our customers.
 </li>
 <li>
 Rapidly design, build, test, deliver, and maintain complex software systems that are performant, reliable, and scalable.
 </li>
 <li>
 Contribute to the high-level technical direction of both the organization and the platform to ensure we are always accelerating the velocity of our work.
 </li>
 <li>
 Relentlessly solve any and all technical problems that stand in the way of company objectives&mdash;and therefore, our success.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven experience building complex, scalable software systems from zero-to-one&mdash;i.e., problem identification to production-grade solution.
 </li>
 <li>
 Demonstrated proficiency in programming languages such as Rust, Python, Java, TypeScript, or similar.
 </li>
 <li>
 Inherent desire to operate with extreme levels of urgency across all aspects of life and work.
 
 
 </li>
 </ul>
 
 About Our Stack
 
 
 
 <ul>
 <li>
 Frontend: React, TypeScript, NextJS, ThreeJS
 </li>
 <li>
 Backend: Rust, Python w/ FastAPI and Flask
 </li>
 <li>
 Database &amp; Infra: PostgreSQL, DynamoDB, Standard and Government AWS: RDS, S3, ECS, SQS
 </li>
 <li>
 Runtime: Electron, Docker
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive compensation package, including company equity.
 </li>
 <li>
 Healthcare coverage across medical, dental, and vision.
 </li>
 <li>
 Unlimited PTO.
 </li>
 <li>
 Monthly company-sponsored lunches and/or outings.
 
 
 </li>
 </ul>
 All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
 
 
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 
 
 <ul>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 </li>
 </ul>
</div>

Software Engineer

Alembic Pharmaceuticals Ltd

<div><h2 class="jobSectionHeader">The Context</h2>
Hi, I'm Logan, and I lead Talent at Alembic. I came to Alembic because the founders believe what I believe: investing in people is how you build the company, not a cost of building it. Done right, that buys three things, in order &mdash; a team that demands excellence, work that carries daily personal meaning, and a real shot at generational wealth for the people who build it. I haven't often found all three in one place.
Here's my situation, plainly: we have 20+ funded open roles, 16 of them technical &mdash; research engineers implementing causal mathematics in CUDA and C++, SREs running one of the fastest private supercomputers in the world, backend and data engineers scaling a platform that Fortune 100 companies use to make multimillion-dollar decisions. The company just raised a $145M Series B and expects to roughly double in the next year. Right now, the team responsible for all of that hiring is small. You would be the unlock.
I'll tell you how we work, because it's the best predictor of whether you'll want this job. We run structured hiring &mdash; scorecards before searches, calibrated loops, feedback in 48 hours &mdash; because hiring is too important for gut feel. We treat speed as our advantage against bigger brands: attention, time, and effort are things we can out-invest. Our operating loop is Learn Build Share Repeat, and we publish our work &mdash; including the materials we used to write this very listing. And we are AI-native, in the practical sense: we experiment with new tools constantly and expect each other to keep hunting for a better way. If you read that list and felt something click, keep reading.
One more thing worth saying: we wrote our hiring playbook down before we wrote this job ad, and we're sharing it openly here.<h2 class="jobSectionHeader">
About Us</h2>
Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes &mdash; the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.
We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure &mdash; one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)<h2 class="jobSectionHeader">
The Role</h2>
Your mission: own and close our priority technical searches, so that a team of top-decile engineers can keep shipping causal AI for Fortune 100 customers.
You'll carry 6&ndash;8 technical searches full-cycle &mdash; backend, infrastructure/SRE, and data engineering &mdash; partnering directly with engineering leadership. This is a carry-the-searches-yourself role with real authority over how they're run, not a coordination job and not a management job.
Success in the first six months looks like:<ul><li>
You know the business cold. You can pitch Alembic &mdash; causal AI versus correlation, our customers, our infrastructure &mdash; credibly to a senior engineer, in your own words.</li><li>
You own calibrated scorecards and live pipelines on every search you carry, and hiring managers trust your judgment enough that your push-back changes how searches are run.</li><li>
You've closed multiple technical hires at our bar &mdash; including candidates who had other offers.</li><li>
Searches you run move fast: structured loops, same-week feedback, weeks not months from first screen to offer.</li></ul><h2 class="jobSectionHeader">
What Will Help You Succeed</h2><ul><li>
5+ years of full-cycle technical recruiting &mdash; software, infrastructure, or ML &mdash; at companies with a genuinely high bar.</li><li>
A closer's track record. You can tell us, specifically, about candidates you won against stronger brands, and how.</li><li>
You learn businesses fast and sell them fluently. Recruiting is marketing and sales, and you treat it that way.</li><li>
A consultative spine: you push back on hiring teams rather than push weak candidates, and you have the evidence-based arguments to do it well.</li><li>
High content-to-word ratio. You speak and write plainly, honestly, and proactively. Zero fluff.</li><li>
Urgency and meticulous detail at the same time &mdash; you don't trade one for the other.</li><li>
Data proficiency: you diagnose your funnels by root cause, not anecdote.</li><li>
An AI-native practice: you regularly experiment with new tools and methods, and you're constantly looking for alpha.</li></ul><h2 class="jobSectionHeader">
This role is probably not for you if:</h2><ul><li>
You need a coordinator, a sourcer, and an ops layer behind you before you can move.</li><li>
You measure your work in activity &mdash; submittals, screens, calls &mdash; rather than hires and quality.</li><li>
You're ready to manage a team rather than carry searches personally. (That path can open here; it isn't where this starts.)</li><li>
Five days a week in our San Francisco office isn't workable for you. We're in the room with the engineers we hire for, and it matters.</li><li>
You see AI tooling as a threat or a gimmick rather than daily practice.</li></ul><h2 class="jobSectionHeader">
Why You Might Be Excited About Alembic</h2><ul><li>
Your work is the company's bottleneck-breaker: 19 funded searches stand between Alembic and its next chapter. Few recruiting seats anywhere have this much concentrated leverage.</li><li>
A hiring system worth joining: Structured hiring, scorecards, batch review, real candidate-experience standards &mdash; you're inheriting a thoughtful machine and making it better, not cleaning up a mess.</li><li>
A story engineers actually want to hear: Causal AI for the Fortune 100, mathematics implemented on a private supercomputer. You'll never have to sell vapor.</li><li>
AI-native by design: We'll fund your experiments. The recruiter-as-creator era is here, and this team intends to be evidence of it.</li><li>
Series B momentum, real ownership: Meaningful equity at a Series B company that's raised $145M, with proven product-market fit and Fortune 100 traction &mdash; and a talent function you'll help build as the org doubles.</li></ul><h2 class="jobSectionHeader">
Why You Might Not Be Excited</h2><ul><li>
We're building the talent function while running it. You'll define process, not inherit it.</li><li>
Brevity is strength here &mdash; feedback is direct, meetings are short, and writing matters. If you prefer a softer communication culture, this will feel sharp.</li><li>
Priorities shift as we grow. We have real paying customers and a playbook, and we still move at startup speed at Series B scale.</li></ul><h2 class="jobSectionHeader">
How to Apply</h2>
Take your time with your application. We will review every application after the deadline (Wed July 15, 9:00 PM PT) and speak with a shortlist based on what you submit. There are no prizes for applying first, and no advantage gained by messaging the team &mdash; please put your energy into the application itself.
Compensation Range: $125K - $160K</div>

Technical Recruiter

Salesforce

<div>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.
Job Category
Software Engineering
Job Details
About Salesforce
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.
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.
The Experience
 
Salesforce is building the next-generation Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, enterprise data discovery, and intelligent decision-making across the company. The platform serves as the foundational knowledge layer connecting enterprise data, business entities, ontologies, and relationships across multiple domains.
 
 
We are seeking both a Senior Member of Technical Staff (SMTS) and a Lead Member of Technical Staff (LMTS) to join our Enterprise Knowledge Graph and AI Engineering team.
 
 
The SMTS will serve as a senior engineer and core systems developer &mdash; heavily hands-on, developing, optimizing, and scaling core knowledge graph components, semantic pipeline workflows, and AI-powered frameworks. You will partner with Lead and Principal Engineers to implement technical designs and build production-ready scalable systems that support agentic AI use cases across the enterprise.
 
 
The LMTS will serve as a hands-on technical lead, systems designer, and ontology engineer &mdash; designing, building, and scaling core knowledge graph infrastructure, semantic schemas, and AI-powered developer frameworks. You will partner closely with Principal Engineers, Product Management, Ontology experts, and Data Engineering teams to turn high-level engineering visions into production-ready scalable foundations.
 
 
Both roles will actively implement and drive AI-powered engineering tools and developer platforms that improve engineering productivity, software quality, and delivery velocity across the organization. 
 
What You'll Actually Be Doing
<ul><li>Design &amp; Implement: Build and scale Salesforce's Enterprise Knowledge Graph platform components, focusing on performance, data throughput, system reliability, high availability, and robust data integrity. (LMTS: Lead hands-on design and implementation of platform subsystems; SMTS: Write high-quality, production-grade code.)
</li><li>Graph &amp; Ontology Engineering: Develop graph data models, write complex graph queries, and construct scalable data pipelines to ingest and map structured and unstructured data to enterprise ontologies and taxonomies. (LMTS: Also design enterprise ontologies, taxonomies, semantic layers, entity resolution frameworks, graph APIs, and vector search capabilities to support advanced RAG and agentic workflows.)
</li><li>Semantic Routing: Write and maintain Python-based semantic routing frameworks to parse, classify, and dynamically direct incoming queries to the appropriate knowledge graph indexes or vector databases. (LMTS: Design, optimize, and productionize routing frameworks at enterprise scale, steering queries to appropriate knowledge graphs, ontology sub-graphs, or vector databases.)
</li><li>AI Tooling &amp; Automation: Build, integrate, and leverage AI-powered developer tools and engineering automation platforms utilizing ecosystems such as Claude, Cursor, Windsurf, AI Agents, and Model Context Protocol (MCP) frameworks. (LMTS: Also develop, deploy, and optimize these tools; drive strategy and productionization.)
</li><li>Data Integration: Build scalable data pipelines and engineering patterns to ingest, transform, and orchestrate structured, unstructured, and third-party data sources into graph-based platforms mapped tightly to enterprise ontologies.
</li><li>Feature Ownership &amp; Technical Execution: Own the technical execution of specific platform features from concept through design, coding, testing, and production deployment. (LMTS: Also translate high-level technical visions and roadmaps into concrete system blueprints, ontology schemas, and execution plans.)
</li><li>Code Quality &amp; Rigor: Participate heavily in code reviews, write comprehensive automated unit/integration tests, and ensure adherence to engineering standards and operational best practices.
</li><li>Technical Mentorship: Provide technical guidance and mentorship to engineers on the team. (SMTS: Mentor MTS and Associate engineers. LMTS: Provide day-to-day guidance, code reviews, and design direction to SMTS, MTS, and associate engineers, fostering a culture of technical rigor and operational maturity.)
</li><li>Cross-Functional Collaboration: Work closely with Lead/Principal Engineers, Product Managers, and Data Engineering teams to deliver robust features aligned with broader enterprise AI priorities. (LMTS: Also partner with PMTS engineers and Ontology governance boards to ensure alignment with AI infrastructure standards.)
</li><li>Evaluate &amp; Innovate (LMTS): Conduct deep-dive evaluations of emerging graph technologies, ontology modeling tools, semantic reasoning frameworks, vector databases, and AI tooling to continuously modernize the platform.
</li></ul>You're Our Person If...
SMTS
<ul><li>Experience: 8+ years of hands-on software engineering experience in development, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Core Programming: Expert-level coding skills in backend ecosystems, with strong fluency in Python and standard object-oriented/functional programming languages.
</li><li>Semantic Routing &amp; AI: Hands-on experience developing and deploying custom semantic routers using Python (leveraging native embeddings, LangChain, or mathematical logic like cosine similarity) alongside RAG architectures, vector search platforms, and AI workflows.
</li><li>Graph &amp; Ontology Fundamentals: Solid experience working with graph databases and semantic web concepts (e.g., Neo4j, RDF/OWL, SPARQL, property graphs) and mapping data to structured taxonomies.
</li><li>Developer Tooling: Practical experience configuring, testing, or integrating AI-assisted engineering tools or automation workflows (e.g., Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks).
</li><li>Distributed Systems &amp; Cloud: Proven experience building applications on cloud-native systems (AWS, GCP, or Azure) utilizing microservices, REST/gRPC APIs, and event-driven data streaming (e.g., Kafka).
</li><li>Delivery: Track record of owning and successfully delivering complex features in an agile, production-scale environment.
</li></ul>LMTS
<ul><li>Experience: 10+ years of hands-on experience in software engineering, data engineering, distributed systems, or enterprise data platforms.
</li><li>Education: A related technical degree required.
</li><li>Ontology &amp; Graph Expertise: Solid, hands-on experience designing and building Knowledge Graph platforms, formal ontologies, semantic models, taxonomies, or enterprise metadata management systems.
</li><li>Tooling &amp; Ecosystems: Strong hands-on experience with graph technologies and ontology engineering tools (e.g., Neo4j, TopQuadrant, Prot&eacute;g&eacute;, RDF/OWL, SPARQL, SHACL, property graphs) and semantic reasoning frameworks.
</li><li>AI &amp; Retrieval: Proven experience implementing graph-powered AI solutions, vector search platforms, Retrieval-Augmented Generation (RAG) architectures, and orchestrating agentic workflows.
</li><li>Semantic Routing Mastery: Demonstrated hands-on experience designing, optimizing, and productionizing custom semantic routers using Python (leveraging native embeddings, LangChain, semantic-router, or specialized mathematical logic like cosine similarity) to decouple intent handling from expensive LLM calls.
</li><li>Developer Automation: Experience deploying and integrating AI-assisted engineering tools or automation workflows using ecosystems like Claude, Cursor, Windsurf, GitHub Copilot, or MCP frameworks.
</li><li>Backend &amp; Cloud: Strong experience with cloud-native system designs (AWS, GCP, or Azure), distributed systems, microservices, and high-throughput event-driven systems.
</li><li>Leadership: Demonstrated experience leading feature teams, guiding technical execution, and mentoring mid-to-senior level engineers.
</li></ul>Even Better If...
SMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
</li><li>Familiarity with ontology validation frameworks (e.g., SHACL) and data quality governance.
</li><li>Experience building integrations with data platform environments like Salesforce Data Cloud or enterprise CRM metadata architectures.
</li><li>Experience optimizing low-latency applications and heavy-throughput vector search lookups.
</li><li>Passion for engineering automation and driving personal/team velocity via advanced AI development tools.
</li></ul>LMTS
<ul><li>Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field with a focus on Semantic Web or Knowledge Representation.
</li><li>Direct experience integrating platforms with Salesforce Data Cloud, CRM platforms, or metadata-driven system designs.
</li><li>Experience with semantic routing at enterprise scale, high-throughput enterprise search systems, and graph-powered recommendation engines.
</li><li>Deep familiarity with advanced ontology governance, federated knowledge management, and data contract alignment.
</li><li>Proven track record of optimizing engineering team velocity through the tailored implementation of AI developer tooling.
</li></ul>Unleash Your Potential
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 be your best , and our AI agents accelerate your impact so you can do your best . 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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
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.
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.
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 $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $285,800 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>

Data Engineer (SMTS/LMTS) - Knowledge Graph & AI

Okta

<div>Secure Every Identity, from AI to Human 
 
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. 
 
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. 


Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.
<h2 class="jobSectionHeader">
The Engineering Opportunity</h2>

Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The Resilience Team within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer.

We are seeking a Staff Back-End Software Engineer to lead technical initiatives and own the reliability of our expanding Identity as a Service platform.

In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps.

We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape.
<h2 class="jobSectionHeader">
Job Duties and Responsibilities</h2>
<ul><li>Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta&rsquo;s service scale.</li>
<li>Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale.</li>
<li>Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design.</li>
<li>Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing, accelerate debugging, and optimize service reliability.</li>
<li>Conduct rigorous design and code reviews. Raise the engineering bar by implementing high-quality unit and functional tests to ensure robust programming standards.</li>
<li>Participate in and lead incident Root Cause Analysis (RCA) processes to continuously improve reliability, identify systemic weaknesses, and build long-term mitigation strategies.</li>
<li>Collaborate closely with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver highly secure and dependable software.</li>
<li>Help with mentoring new engineering hires and interns.</li>
</ul><h2 class="jobSectionHeader">Minimum Required Knowledge, Skills, and Abilities</h2>
<ul><li>8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus).</li>
<li>Demonstrated history of architecting, implementing, tuning, and debugging global cloud software. Deep understanding of microservices, cloud infrastructure (AWS preferred, Azure, or GCP), and modern container ecosystems (Docker, Kubernetes).</li>
<li>Proven track record of addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments.</li>
<li>Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (e.g., AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools) to drive development productivity and system optimization.</li>
<li>Outstanding communication and leadership skills with a proven ability to coordinate high-impact technical projects, manage stakeholder alignment, and influence technical direction.</li>
<li>Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued.

***The employee must be either a U.S. citizen as defined in 42 U.S. Code &sect; 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees. Working on a U.S. visa does NOT qualify as a U.S. person.
</li>
</ul><h2 class="jobSectionHeader">Education and Training</h2>
<ul><li>B.S. or M.S. in Computer Science, a related field, or equivalent industry experience.</li>
</ul>
#LI-Hybrid 
#LI-MA1

(P24485_3396786) 
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$243,000 USD
The Okta Experience
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. 
 
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Matt- Staff Software Engineer, Resiliency

Explore 71+ Backend software engineer in San Francisco this July. Find roles across top companies and apply now to boost your career.