Senior Server Engineer - Platform and Developer Productivity

About StravaStrava is the ultimate app for individuals who embrace an active lifestyle. With a vibrant community of over 180 million athletes spanning more than 185 countries, Strava transcends mere workout tracking—it's a platform where individuals collaborate to achieve their goals, develop new habits, and surpass personal milestones. Regardless of your ch…

About UsAt Sierra, we are innovating a transformative platform designed to empower businesses in crafting exceptional, human-centric customer experiences utilizing AI technology. Our headquarters is located in the vibrant city of San Francisco, with an expanding presence in key global cities including Atlanta, New York, London, France, Singapore, and Japan.Our company culture thrives on core values that shape our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. We are devoted to integrating these principles into every facet of our work.Sierra was co-founded by industry visionaries Bret Taylor, who is the Board Chair of OpenAI and former co-CEO of Salesforce, and Clay Bavor, a seasoned Google veteran who led numerous groundbreaking initiatives including Google Labs and Project Starline.Your RoleCraft a comprehensive playbook for onboarding and educating customers on Sierra's offerings, including the Agent SDK and our no-code platform, Agent Studio.Spearhead the design and implementation of developer training and enablement initiatives.Create scalable content, such as technical documentation, educational videos, onboarding pathways, and sample repositories to facilitate SDK adoption.Serve as an Agent Software Engineer to develop and deploy AI Agents, gaining expertise in agent development.Collaborate with marketing teams to publish developer case studies and success stories that resonate with our expanding technical community.What You BringA genuine passion for empowering businesses—both small and large—to develop outstanding AI Agents.A degree in Computer Science or a similar field, or equivalent hands-on professional experience.A minimum of 4 years of experience in software development, particularly in highly technical products or developer relations.Exceptional written and verbal communication skills, with a commitment to engaging in hands-on training sessions.

Join us as a founding Product Engineer at Ando! We are in search of engineers who possess a keen sense for product development and an unwavering attention to detail. If you thrive in fast-paced environments, even better!About AndoOur teams are actively creating AI agents that integrate with platforms like Slack and email. We are not just enhancing existing tools; we are fundamentally reimagining communication to foster improved collaboration between humans and AI.Why Choose Ando?If you appreciate the dynamic and exciting nature of early-stage startups and cherish the camaraderie of working late with a small team, Ando is the place for you.You enjoy the satisfaction of creating software that will reach hundreds of thousands of users, rather than getting lost in enterprise solutions.You want to excel in your career alongside those who challenge you to improve and help cultivate that team spirit.Our Commitment to AIIf you do not have a passion for Large Language Models (LLMs) or do not use them daily, we encourage you to develop that interest before applying!If you do not appreciate the craftsmanship of software and cannot discuss inspiring examples, this role may not be for you.Your Role at Ando:Design and build our primary messaging infrastructure to ensure it is instant, reliable, and delightful to use.Focus on the essential yet often overlooked components of the product, such as retrieval and evaluations.Collaborate with our design team to prototype innovative interaction patterns for human-agent collaboration.Develop an API and agent platform that external developers will genuinely enjoy using.Conduct experiments with tool evaluation to determine effective practices.Enhance our context and retrieval systems through iterative design.Elevate our engineering standards, assist with recruitment efforts, and maintain our quality benchmarks.Utilize Ando daily, provide candid feedback, and drive product enhancements.

speak seeks a Quality Assurance Engineer based in San Francisco to help maintain and raise the quality of its software products. This position works side by side with developers, product managers, and other colleagues to shape testing methods and contribute to ongoing product improvement. Key responsibilities Work with engineers and product managers to define and improve testing strategies Identify issues and assist in resolving them to enhance product functionality Contribute to delivering software that is reliable and user-friendly What speak values Careful attention to detail Dedication to quality in each release Ability to collaborate effectively across different teams

Join WorldLabs as a Research Platform Engineer and be at the forefront of innovation in research technology. In this role, you will develop and enhance our research platforms, ensuring they are robust, scalable, and user-friendly. Collaborate with cross-functional teams to translate complex research requirements into technical specifications, and drive the implementation of cutting-edge solutions that empower researchers worldwide.

Accordion is hiring a Senior Quality Engineer to help maintain and improve quality across products and services. This position is based in several major cities, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco. Role overview This role centers on upholding high quality standards throughout the development process. The Senior Quality Engineer works with teams from different disciplines, contributing expertise in quality assurance and process improvement. What you will do Create and execute detailed test plans to validate product and service quality Work closely with cross-functional groups to identify and document defects Support continuous improvement by sharing insights and recommending process changes Location Positions are available in Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco.

Arine, a fast-growing healthcare technology and clinical services company based in San Francisco, is dedicated to ensuring individuals receive the safest and most effective treatments tailored to their unique healthcare needs. Our mission is to redefine healthcare excellence by addressing the challenges posed by medications that can often do more harm than good.In the U.S., incorrect medications and dosing result in over $528 billion in waste and preventable harm annually. Our innovative software platform (SaaS) leverages cutting-edge data science, machine learning, AI, and deep clinical expertise to offer a patient-centered approach to medication management. We develop and implement personalized care plans at scale, benefiting both patients and their care teams.Arine is committed to enhancing the lives of complex patients, who significantly impact healthcare costs and are often challenging to identify and assist. These patients face a myriad of issues, including complicated prescriptions across multiple medications and providers, chronic disease management challenges, and access to care difficulties. Supported by leading healthcare investors and collaborating with top organizations, we provide actionable recommendations and enable clinical interventions that lead to measurable health improvements and cost savings for our customers.Why Choose to Work at Arine?Exceptional Team and Culture - Our shared mission inspires us to excel and fosters a culture of relentless passion and innovation, positioning us as market leaders in medication intelligence.Making a Tangible Impact in Healthcare - We are saving lives and enabling individuals to achieve better health outcomes.

Who We AreLightning AI, the driving force behind PyTorch Lightning, was established in 2019. We have developed a comprehensive platform that streamlines the process of creating, training, and deploying AI systems, transforming innovative ideas from research to production with greater efficiency.Following our merger with Voltage Park, a leading neocloud and AI Factory, we are proud to combine cutting-edge developer-focused software with cost-effective, large-scale computational resources. Our platform provides teams with essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control.Our clients range from independent researchers to startups and large enterprises. Lightning AI has a global footprint, with offices in New York City, San Francisco, Seattle, and London, and is supported by prominent investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, breaking down complex challenges into manageable steps.Focus: We tackle one goal at a time, working collaboratively to deliver features with accuracy.Balance: We believe sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to optimize your performance.Craftsmanship: We value excellence and attention to detail, taking pride in honing our skills.Minimal: We embrace simplicity as a driver of innovation, eliminating unnecessary complexity through disciplined focus on what truly matters.What We're Looking ForWe are seeking a talented Backend Engineer to contribute to the development and scaling of the Lightning AI platform, encompassing frontend, CLI, API, billing, security, and integrations.The ideal candidate will take ownership of significant features and lead development efforts from conception to launch while collaborating with a highly skilled team of engineers, product managers, and designers. You will have the opportunity to advance groundbreaking technology that will reshape the machine-learning ecosystem!You will join the Blue Squad and report to our Director of Engineering. This is a hybrid position based in our Bay Area office, requiring in-office attendance two days per week.

Are you ready to drive innovation in AI?About LaminaLamina is at the forefront of revolutionizing commercial lending through our collaborative SaaS platform, making multi-lender transactions seamless and efficient. We equip financial institutions with cutting-edge tools that enable secure deal syndication and participation.Position OverviewWe are looking for a talented and innovative Senior AI Engineer to join our dynamic Lamina team. Your primary focus will be on developing intelligent agents and sophisticated prompting systems that elevate automation, decision-making, and user engagement throughout our platform. You will work closely with product managers, engineering teams, and designers to architect and implement AI-driven solutions that integrate seamlessly into the Lamina ecosystem.Key ResponsibilitiesDesign and implement AI models that enhance platform capabilities.Collaborate with cross-functional teams to translate business needs into technical solutions.Optimize AI algorithms for performance and scalability.Conduct research and stay updated on the latest trends in AI and machine learning.Develop documentation and provide training for internal teams on AI tools.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Slash Financial creates tailored financial infrastructure for businesses in a variety of sectors. The company blends the reliability of traditional banking with high yields, strong rewards, and security, while offering features that help clients operate more efficiently and profitably. Founded in 2021, Slash Financial processes over $10 billion in business transactions each year. The company recently secured $100 million in Series C funding led by Ribbit Capital, with additional backing from Khosla Ventures, Goodwater Capital, NEA, and Y Combinator. This investment supports ongoing product development and expansion into new markets. Headquartered in San Francisco, the team emphasizes in-person collaboration at the office. Role overview The GTM Engineer will join a group dedicated to building a financial platform for complex, global businesses. This position involves close work with customers and the sales team, contributing at every stage from initial discovery to implementation and ongoing support. Direct client interaction is a key part of this job. Insights gathered from these engagements shape solutions and help transform custom work into platform features that serve thousands of businesses. This is a hands-on, customer-facing position. GTM Engineers write code, tackle technical challenges, and take responsibility for outcomes. Location This position is based onsite at the San Francisco office.

Okta is hiring a Staff Backend Engineer to focus on Non-Human Identities in San Francisco, California. This position centers on building and enhancing backend systems that manage secure identities for non-human entities, such as applications and services. Key responsibilities Design and implement backend solutions to strengthen identity management for non-human identities. Collaborate with engineering, product, and security teams to develop new features and improve existing systems. Contribute technical expertise and fresh ideas to the ongoing evolution of Okta’s identity platform. Role focus This role emphasizes backend development with a focus on secure, efficient handling of non-human identities. The work supports Okta’s broader mission to provide reliable identity solutions at scale.

At Crusoe, we are on a mission to drive the proliferation of energy and intelligence in the digital age. We are developing an innovative platform that enables individuals to harness the power of AI for ambitious projects, all while ensuring unparalleled scale, speed, and sustainability.Join us at the forefront of the AI revolution, where sustainable technology meets transformative cloud infrastructure. At Crusoe, you will be part of a team that is committed to meaningful innovation and making a significant impact.About the Role:We are looking for a Senior to Senior Staff level Solutions Engineer to collaborate closely with our key enterprise clients as they deploy AI and machine learning workloads on Crusoe's cutting-edge GPU infrastructure. This role is hands-on and customer-centric, requiring extensive technical knowledge in Kubernetes, MLOps, and cloud infrastructure.You will lead clients through the entire deployment journey, overseeing the proof of concept (PoC) process, optimizing workloads after the sale, and serving as an essential technical liaison between our clients and engineering teams. Successful candidates will possess a strong passion for AI infrastructure, be proficient in containerized environments, and have the ability to effectively translate workloads across various cloud platforms.What You'll Be Working On:Customer Enablement: Spearhead the technical onboarding and deployment of sophisticated AI/ML workloads with strategic enterprise customers—taking ownership of the PoC through to post-sales optimization.Kubernetes + MLOps Focus: Design and implement ML workloads utilizing Kubernetes-based technologies (e.g., Ray, Kubeflow) while ensuring optimal performance, scalability, and efficiency.Infrastructure-Centric Thinking: Engage directly with Crusoe infrastructure to deploy and fine-tune AI/ML workloads, guaranteeing performance at both the container and hardware levels.Cross-Cloud Translation: Assist clients in migrating and adapting workloads across AWS, Azure, and GCP, while clearly articulating the trade-offs between cloud-native and Crusoe-native strategies.Technical Storytelling: Facilitate workshops, live demonstrations, and solution reviews. Contribute to case studies, solution briefs, and blog articles that showcase real-world customer success stories.Voice of the Customer: Provide feedback to internal engineering and product teams to continuously enhance Crusoe’s platform based on practical implementation experiences.What You'll Bring to the Team:Deep Kubernetes Expertise: 7+ years of experience in building and deploying containerized applications.

About the RoleDescript is at the forefront of transforming traditional editing practices by integrating innovative AI technologies throughout the entire content creation process—recording, transcribing, editing, and sharing—making it quicker and easier to produce high-quality content.We are seeking an Engineering Manager to spearhead our Narrative Editing team. This role focuses on enhancing the product experiences that empower creators to articulate their stories through both live and generative AI content creation, along with Descript's renowned script-based editing experience. You will oversee a dynamic team of 5-6 software engineers, report directly to the Head of Product Engineering, and collaborate with leaders across engineering, product, design, and AI Engineering to deliver exceptional and dependable product experiences for video creators.About the Team:The Narrative Editing team is responsible for a suite of product experiences that enable creators to express their narratives. This team drives Descript’s flagship script-based editing experience, redefining the landscape of video editing tools by making storytelling-based content creation accessible for beginners and lightning-fast for seasoned professionals. With advancements in AI video editing, our team has a unique opportunity to collaborate closely with AI infrastructure and research teams to assess, integrate, and operate both internal and external models, further simplifying and accelerating high-caliber content production.In 2026, the Narrative Editing team aims to refine our excellent product experiences to better serve our customers. If you're passionate about not just launching products but continually enhancing them through successive iterations (V1, V2, V3, etc.), this role is the perfect fit for you!You'll work with management peers and direct reports located in San Francisco, New York, and distributed across the US and Canada.This position is ideal for you if you are eager to drive advancements in the following areas:Developing a top-tier product experience for script-based video editing, exploring cutting-edge generative media models, seamlessly integrating them into existing video creation workflows, and upholding a high-quality standard for Descript’s video and audio recording suite.Executing strategic quality initiatives while crafting the next generation of product experiences at Descript.Collaborating with AI Research and Enablement teams to prioritize, train, evaluate, and deliver next-gen Descript-built AI models that enhance content creation.

Join SoFi as a Senior Web Platform Engineer and be at the forefront of building innovative web solutions that empower our users. You will work on enhancing and maintaining our web platform, ensuring high performance, scalability, and security. Collaborate with cross-functional teams to implement new features and optimize existing ones, using the latest technologies and best practices in web development.

Join Our Innovative TeamLumafield is seeking a skilled Quality Assurance (QA) Test Engineer to play a pivotal role in ensuring the excellence and dependability of our advanced, cloud-based web application, Voyager. In this hands-on position, you will be responsible for implementing and refining our QA strategy, seamlessly integrating manual exploratory testing with robust automation testing to provide our users with a flawless, high-quality experience in industrial inspection.

At Scale AI, we play an essential role in bringing cutting-edge AI technologies to life, spanning areas such as autonomous driving, drones, robotics, and advanced language models. Our partnerships with leading self-driving car and robotics machine learning teams, as well as major players in the generative AI sector, position us at the forefront of innovation. As our customer base expands, we are seeking a Field Engineer to spearhead our field engineering initiatives for federal AI projects. In this pivotal role, you will have the chance to significantly influence revenue generation by collaborating with our most important public sector clients and fostering long-lasting relationships that transform them into ardent advocates for Scale. Our Field Engineers are dedicated to ensuring that customers' experiences with our technology are seamless and optimized, paving the way for successful, enduring partnerships. They collaborate closely with Product, Engineering, and Operations teams to guide existing clients in constructing production-grade data pipelines. This is achieved by thoroughly understanding customer use cases and developing the necessary tools and documentation to support their scalable growth. Field Engineers are not only adept in Scale's products and codebase but also possess a solid technical foundation in web development, API usage, and managing large datasets. They excel at building relationships, project management, and are known for their engaging personalities. The ideal candidate is a versatile software engineer who thrives on direct client interaction, adept at transforming ambiguous requirements into sustainable solutions in close collaboration with Product and Engineering teams. This role sits at the convergence of customer delivery, product development, and engineering, providing you with a diverse range of experience and allowing you to leverage both analytical and creative thinking. If this resonates with you, we encourage you to apply!

Join Us as a Founding Engineer!At Brainbase, we're redefining the workforce landscape with AI Employees, akin to how Retool transformed internal tools.Imagine a world where AI collaborates seamlessly with human teams. Brainbase empowers businesses to develop their own AI workforce.In just one year, we've achieved $XM+ ARR and are on course to surpass $XXM+ soon. Our clientele spans from small and medium businesses to Fortune 50 corporations. We're proudly supported by Y Combinator, 500 Global, and other prestigious investors, including founders from YouTube and HubSpot, as well as notable YC alumni.About the RoleAs a pivotal member of our founding team, you'll play a crucial role in integrating AI into the enterprise landscape: launching innovative features, engaging with users, and fostering a vibrant company culture for future team members.You will collaborate closely with our CEO and founding team, focusing on enhancing our infrastructure (both cloud and on-premise) and refining our proprietary agent system based on user feedback.Who Should Apply?This position may be a perfect fit for you if:Resourceful: You excel in maximizing outcomes with limited resources, whether that be time, finances, or computing power.Resilient: You persist through challenges and only step back when you discover a more effective approach.Decisive: You make sound decisions under pressure, even with incomplete information, and swiftly move on to new challenges.Passionate about Problem-Solving: You thrive on tackling complex puzzles, games, or challenges, regardless of initial proficiency.Fun-Loving: You maintain positivity and uplift those around you, even during tough times.Key RequirementsAlongside the qualities outlined above, we seek candidates with the following qualifications: Essential SkillsLocation: Based in San Francisco or open to relocation.Work Authorization: Must have a valid US work permit (we do not sponsor H1-Bs; OPTs are acceptable).Minimum of 2 years of software engineering experience (recent graduates are encouraged to apply; personal projects are valued).Proficiency in Typescript and Python.Familiarity with Large Language Models (LLMs) such as OpenAI API, Langchain, or HuggingFace.

ABOUT BASETENAt Baseten, we empower leading AI companies such as Cursor, Notion, and Abridge by delivering mission-critical inference capabilities. Our innovative platform integrates applied AI research, versatile infrastructure, and intuitive developer tools, enabling organizations at the forefront of AI to deploy cutting-edge models seamlessly. With our recent $300M Series E funding from top investors like BOND and Greylock, we are rapidly expanding. Join us to create the ultimate platform for engineers to launch AI products effectively.THE ROLEWe are seeking a passionate and customer-focused software engineer to join our team. You will take ownership of features, including multi-node training and serverless reinforcement learning (RL), guiding them from concept to MVP and beyond. Your responsibilities will span the entire technology stack, from API and UI design to infrastructure architecture. By diving deep into model fine-tuning, you will gain valuable insights into user workflows. Collaborating closely with research engineers, you will apply advanced training techniques to develop solutions that address real user challenges. If you are eager to explore the intricacies of AI training, we want to hear from you!THE PRODUCTDiscover what we have accomplished so far:Comprehensive Product OverviewTraining Documentation OverviewThe Journey of Our Training ProductOur Research EndeavorsEXAMPLE INITIATIVESCheckpointing Pipeline: Our automated checkpointing feature ensures that model versions created during training are securely backed up to the cloud, allowing users to easily deploy checkpoints with minimal friction.