Backend Software Engineer - Deliverability

Join Air Apps as a Backend Software EngineerAt Air Apps, we’re passionate about innovation and speed. Founded by a family in 2018 in Lisbon, Portugal, we are on a mission to revolutionize how individuals and entrepreneurs manage their resources with our AI-powered Personal & Entrepreneurial Resource Planner (PRP). With over 100 million downloads globally, and offices in both Lisbon and San Francisco, we continue to grow as a self-funded company.As a Backend Software Engineer, you will play a crucial role in designing, developing, and maintaining the server-side components of our applications. Your collaboration with product managers and frontend developers will ensure our services are robust and scalable, ready to support our rapid growth.Join us in this exciting journey to redefine resource management and positively impact lives worldwide.

About FormalAt Formal, we empower organizations with cutting-edge data security solutions that enable teams to effectively manage and understand their data seamlessly.Our innovative approach involves developing a state-of-the-art protocol-aware reverse-proxy for datastores and APIs, allowing businesses to monitor their data in real-time. This capability ensures that sensitive information is handled according to the principle of least privilege, utilizing masking, filtering, and anonymization strategies.We proudly serve top-tier companies such as Ramp, Gusto, and Notion, helping them navigate challenges in data security, compliance, and infrastructure access.Backed by leading venture capital firms like Thrive Capital and Y Combinator, alongside angel investors from renowned tech companies such as Datadog, Clickhouse, Plaid, and Vanta, Formal is at the forefront of data security innovation.About the RoleWe are on a mission to assemble an exceptional engineering team and are seeking individuals eager to make a substantial impact on our product and company growth.The ideal candidate possesses a profound understanding of scalable backend systems, demonstrates a strong sense of ownership, and thrives on managing projects from their inception to full-scale production deployment.Our current technology stack includes Golang, Rust, Temporal, various datastore protocols (such as Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS.What You'll DoDesign and develop a robust data platform capable of processing substantial data volumes in real-time.Lead the development of new product features, overseeing everything from research and implementation to ongoing maintenance.Enhance the performance and reliability of both new and existing features.Spearhead initiatives that could significantly influence Formal's trajectory.Architect scalable services as the company grows and manages increasing traffic.What You NeedProven experience in software development, specifically in building data-intensive platforms.A strong appreciation for code simplicity and performance optimization.Expertise in Golang and familiarity with its ecosystem.Experience with data streaming frameworks such as Apache Kafka and Google Pub/Sub.

Company BackgroundAt Specter, we are pioneering a software-defined control plane that enhances the safety and visibility of physical assets for American businesses. Our innovative approach leverages a robust hardware-software ecosystem built on advanced multi-modal wireless mesh sensing technology, drastically reducing the costs and time associated with sensor deployment.Our platform is set to revolutionize the way companies perceive their physical environments, enabling real-time visibility and management of operations. With a passionate team hailing from prestigious organizations such as Anduril, Tesla, Uber, and the U.S. Special Forces, we are committed to leading the charge in the rapidly evolving realm of physical AI and robotics.Role + ResponsibilitiesWe are on the lookout for a Backend Software Engineer to join our engineering team. In this role, you will be instrumental in designing, deploying, and scaling distributed systems that power our mother node base stations and cloud services. Your contributions will ensure the reliability, scalability, and performance of Specter’s sensing and perception platform across both edge devices and cloud infrastructure.Key responsibilities include:Architecting and operating distributed, Linux-based systems across edge and cloud environments.Designing scalable pipelines for streaming, storing, and processing vast amounts of video and sensor data.Building containerized services (Docker/Kubernetes) for the deployment of perception and inference workloads at scale.Developing observability systems for monitoring, logging, and alerting across our fleet of edge nodes and cloud infrastructure.Optimizing queue-based video ingestion, transcoding, and upload pipelines for reliability in bandwidth-constrained environments.Implementing highly available infrastructure for real-time alerting, APIs, and customer-facing event systems.Collaborating cross-functionally with hardware, perception, and application teams to ensure infrastructure supports rapid iteration and scalability.

Join Pinterest as a Senior Backend Software Engineer, where you'll be part of a dynamic team dedicated to building innovative solutions that enhance user experiences. We are looking for a passionate engineer with a strong background in backend development, who thrives in a fast-paced environment and is eager to tackle complex technical challenges.

About AnonAnon is at the forefront of revolutionizing enterprise automation through our innovative platform designed to deploy authenticated AI agents for critical data workflows.We are addressing one of the most significant challenges in enterprise automation: unlocking and transforming data that is currently inaccessible due to authentication barriers. Our cutting-edge platform empowers AI agents to securely interface with web-based systems, extracting unstructured data and seamlessly delivering it via modern APIs.Since our inception in 2023, we have enabled industry leaders to convert weeks of manual processes into automated workflows that complete in mere minutes. Our efforts have garnered $14M in funding from renowned investors including Union Square Ventures, Forerunner Ventures, Okta Ventures, and Abstract Ventures.Our vision is clear: every business system should be fully accessible to AI agents. If you are passionate about constructing the infrastructure that will drive the next generation of AI applications, we invite you to join our dynamic team of 12 in San Francisco.www.anon.com/careers

About WorkWhileAt WorkWhile, we are dedicated to empowering hourly workers to achieve financial stability and improved quality of life. With over 80 million Americans engaged in hourly employment, many face unpredictable schedules, low wages, and scarce benefits, which can lead to economic hardship.Our innovative platform is transforming the landscape of frontline work by fostering a more adaptable and effective labor market. Leveraging advanced AI technology, WorkWhile enables businesses to swiftly connect with top-tier talent. Workers enjoy same-day pay, complimentary telehealth services, opportunities for skill advancement, and the flexibility to select shifts that align with their expertise and personal schedules.Our ambitious aim is to harmonize incentives and address inefficiencies in the labor market, challenging the $650 billion staffing and recruiting industry. Supported by Khosla Ventures and celebrated by the Inc. 5000 for remarkable growth, WorkWhile is at the forefront of redefining the future of work.

About Ivo, Inc. Ivo, Inc. builds technology for the legal sector, focusing on tools that help legal professionals work more efficiently. Based in San Francisco, the team has launched several products in recent years, including: An AI-powered agent for MS Word that assists with document editing (2023) Agentic RAG using embeddings models (2023) LLM-based large-scale legal fact extraction (2024) A legal assistant for accurate search across large contract databases (2024) Advanced clustering for related legal documents (2025) Automated deviation analysis to surface hidden risks in contracts (2025) Tools for merging contracts and amendments into a single timeline, giving clients a clear view of their agreements (2025) Role Overview: Backend Software Engineer The Backend Software Engineer will help build and scale systems that address complex legal challenges. This role centers on creating reliable infrastructure and tools to process millions of contracts and support legal teams. What You Will Do Develop systems that process and analyze large volumes of contracts with high reliability Design and implement data pipelines to coordinate LLMs, extraction, and clustering algorithms Build precise search and retrieval systems for legal data Work closely with legal experts and product teams to adapt to new developments in LLMs Our Mission Legal teams in major organizations often face long hours and demanding workloads, especially in contract review. Until recently, technology provided little relief. With advances in LLMs, Ivo aims to restore balance by automating tedious legal tasks. Ivo’s AI-native platform is designed to reduce manual work for lawyers. The software is well-received by users and currently holds an 85% trial win rate, the highest in the market. The team continues to expand what the platform can do. Who We’re Looking For Engineers who enjoy coding, value collaboration, and want to solve challenging problems with creative solutions

About CondorAt Condor, we are transforming the financial infrastructure of clinical development. While substantial investments are made annually to discover and develop new therapies, the processes behind these advancements often remain outdated and disconnected. Our mission is to bridge this gap, creating a cohesive system that integrates clinical operations, vendor activities, and financial data into a real-time intelligence layer. This empowers R&D and finance teams with the insights they need to make informed decisions.Our AI-driven, pharma-native infrastructure is designed to scale industry standards that we have helped shape alongside major partners. We facilitate prediction, control, and execution in some of the most complex R&D environments globally.As we continue to gain the trust of enterprise teams, we are now focused on the critical task of scaling our operations in a high-stakes environment.Condor is a rapidly growing company, backed by leading institutional investors such as Felicis and 645 Ventures, collaborating with top 200 biopharma companies. This is a unique opportunity to contribute to the infrastructure that influences how new therapies reach patients.The RoleWe are seeking a Senior Backend and Data Platform Engineer to play a key role in developing the foundational data infrastructure for Condor’s financial intelligence platform. This position is pivotal in turning complex clinical and financial data into actionable intelligence that enterprise biopharma teams can rely on.In this role, you will be responsible for designing and managing the core data foundations that underpin Condor’s financial engine and AI capabilities. Your work will involve modeling intricate, high-stakes data, constructing reliable data pipelines and services, and ensuring that product features and intelligence workflows function with precision, consistency, and scalability. The systems you develop will directly support critical finance and operational applications.This hands-on, senior engineering position provides you with significant ownership. You will engage with backend services, data pipelines, and APIs, bringing features from concept to production. You will define necessary data schemas, transformations, and architectural patterns that become essential as our platform evolves. Although your primary focus will be on backend and data engineering, you will also be encouraged to work across the stack to ensure seamless integration of data and intelligence.

About UsAt Shepherd, we are revolutionizing the landscape of commercial Property & Casualty insurance, primarily aimed at high-hazard industries. As a technology-focused Managing General Underwriter (MGU), our mission is to streamline risk management for those who construct and operate within the physical realm, safeguarding innovations from inception through to construction and over the years of operation.We are developing an advanced commercial risk platform that harnesses underwriting expertise, data analytics, and automation to provide:Accelerated decision-makingEnhanced pricing accuracyImproved risk resultsWith Shepherd, safety, speed, and quality are no longer mutually exclusive; instead, they synergize to create better outcomes. Our goal extends beyond modernizing insurance products; we are crafting the risk infrastructure for the future of financial services, ensuring seamless collaboration among technology, underwriting, and partnerships to empower the world's critical industries.Our InvestorsShepherd has successfully secured over $20M in funding from prestigious investors, including:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesJoin Our TeamWe are searching for a passionate and skilled Software Engineer to join our dynamic team. If you are someone who embraces ownership, delivers results, and is committed to technical excellence and making a positive impact for our customers, we want to hear from you!

At Exa, we're revolutionizing the AI landscape by developing a cutting-edge search engine from the ground up. Our robust infrastructure is designed for large-scale web crawling, utilizing advanced embedding models for indexing, and super-efficient vector databases developed in Rust for rapid search capabilities. Our impressive $5 million H200 GPU cluster powers tens of thousands of machines, ensuring optimal performance for our innovative solutions.As a Backend Software Engineer, you will be an integral part of our dynamic team, contributing to the backend architecture and system enhancements. We value your unique skills and interests, allowing flexibility in project assignments that align with your expertise.

About UsAt Koah Labs, we are pioneering an advertising network tailored for the next generation of AI-driven products. Our objective is to empower publishers to optimize their revenue while enabling advertisers to connect with their ideal audience, all without sacrificing speed, user experience, or privacy.As a compact, tightly-knit team based in San Francisco, our members bring expertise from esteemed organizations such as X, Apple, and Meta, as well as from dynamic startups. With backing from top-tier investors, we are rapidly expanding and gaining significant traction on both the publisher and advertiser fronts.Joining Koah Labs means being part of a foundational phase: you will develop code that significantly impacts both the company and the innovative ecosystem we are crafting. We prioritize agility, foster a culture of high trust, and are deeply committed to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application Development: Ruby on Rails, React, TypeScriptSDK Development: Flutter, React Native, Android, iOSKey ProjectsDevelop scalable data models that facilitate multiple impressions for ad requestsCreate abstractions that enable experimentation and deployment of new formats to track engagement events effectivelyImplement a low-latency frequency capping system to enhance the user experienceIdeal Candidates Will:Have a passion for debugging and optimizing performanceBe detail-oriented, crafting reliable abstractions for team membersEnjoy experimentation, measuring results, and establishing dependable systems

Join the Crew of Ivo!Ahoy, aspiring Backend Software Engineers! At Ivo, we are the pioneers of innovation in legal technology. Our engineers are the architects of groundbreaking solutions, including:An AI assistant embedded in MS Word for seamless editing [2023]Revolutionizing imprecise embeddings with agentic RAG [2023]Large-scale legal fact extraction powered by LLMs [2024]An intuitive legal assistant that searches vast contract databases while ensuring accuracy [2024]Clustering legal documents by their lineage [2025]Automated deviation analysis to uncover risks in extensive contract databases [2025]Creating composite contracts by merging original documents with amendments (a customer even shed a tear of joy!) [2025]Your MissionAs a Backend Engineer, you will be at the helm of our systems, enabling the processing and analysis of millions of contracts with reliability and precision.Your responsibilities will include:Constructing robust systems for contract processing and analysisDesigning pipelines that integrate LLMs, data extraction, and clustering algorithms on a grand scaleDeveloping the most accurate search and retrieval systems availableCollaborating with legal experts and product teams to harness the evolving capabilities of LLMsOur MissionAt Ivo, we recognize that every major enterprise has an in-house legal team, and those lawyers are often inundated with work. The industry norm of 80-hour weeks, tight deadlines, and exhaustive contract reviews is a challenge we aim to tackle.With the advent of LLMs, we strive to restore balance to the lives of these legal professionals. We are dedicated to building an AI-native platform that automates mundane legal tasks. Our users adore our software, boasting the highest trial win rate in the market at 85%. We’re just getting warmed up!

Resolve AI is looking for a Backend Software Engineer based in San Francisco. This position centers on building and maintaining the backend systems that support the company’s applications. The work involves close coordination with teammates from various departments to deliver and support the core technology behind Resolve AI’s products. Key responsibilities Design and develop backend systems for both new and existing applications Work with engineers, product managers, and other stakeholders to deliver features and improvements Maintain and enhance backend infrastructure to ensure reliability and strong performance Collaboration and environment This role operates within a collaborative team setting. Projects move quickly, and the work directly supports products used by customers and teams throughout the company. Expect to contribute to efforts that have a visible impact across Resolve AI.

At Plaid, we're reimagining the future of financial interactions. Join us in our mission to empower developers and enhance the financial lives of millions. As a Senior Backend Software Engineer, you will play a pivotal role in creating robust tools that streamline how users connect their financial accounts to various applications. Collaborate with industry leaders and contribute to a network that spans over 12,000 financial institutions across North America and Europe. You’ll be instrumental in driving innovation and excellence in our engineering practices while working alongside a talented team committed to making a real impact in the financial landscape.

Role Overview Sigma Computing builds a high-performance data platform aimed at making data accessible and useful. The engineering team focuses on modern data architecture and delivers features that help organizations explore and analyze data efficiently. As the team grows in San Francisco, Sigma is looking for a Senior Backend Software Engineer who enjoys solving complex problems and contributing to a product used by a wide range of users. What You Will Do Tackle challenging problems related to providing interactive experiences on data warehouses for exploration and analysis. Work with technologies including Rust, Go, GraphQL, Node, and Kubernetes. Build backend distributed services, design algorithms, and create APIs for a cloud-based application. Debug, track, and resolve product or system issues as they arise. Design and implement new backend features to support a growing user base. Participate in design and code reviews with teammates and stakeholders to maintain high standards and share knowledge. Location This position is based in San Francisco, CA.

About Our TeamJoin the dynamic Support Automation team at OpenAI, where we utilize cutting-edge AI technologies to tackle real-world challenges and automate processes across our organization. Our mission is to enhance productivity from customer operations to engineering by building a suite of automation tools that empower our team members. We are dedicated to creating innovative products that prioritize quality and reliability through rapid prototyping and reusable solutions applicable across various sectors within OpenAI.In summary, our team harnesses OpenAI's technology to improve our internal processes, and you will have the unique opportunity to access both public and pre-released technologies to achieve this goal.About the RoleWe are seeking a talented Backend Software Engineer with substantial experience in machine learning and large language models to help us design and implement an evaluation infrastructure that measures the effectiveness of OpenAI's support automation efforts. This role is highly technical and collaborative, requiring you to build resilient systems and backend services that underpin knowledge creation, access, and application throughout OpenAI. You will work closely with Data Science and Research teams to scale evaluations effectively.Key Responsibilities:Design and implement evaluation pipelines that are dependable, reproducible, and scalable.Develop infrastructure for continuous evaluation monitoring, including regression and drift monitoring, and establish robust feedback loops to enhance support automation.Create, maintain, and support backend services and APIs that facilitate intelligent automation and knowledge systems.Integrate and organize data across internal platforms, optimizing it for downstream systems and AI workflows.Collaborate closely with data, research, and engineering teams to effectively integrate OpenAI models into impactful workflows.Oversee the full development lifecycle of new backend systems and internal platform features.Design with scalability and maintainability in mind while iterating rapidly on innovative ideas.Ideal Candidate Profile:4+ years of experience in backend engineering within product-focused companies (excluding internships).Proficient in designing and building reliable backend systems, with a strong understanding of machine learning principles.Experience collaborating across teams to drive project success and impact.

About WorkWhileWorkWhile is dedicated to transforming the lives of hourly workers, enabling them to earn better wages and achieve a more stable lifestyle. With over 80 million Americans employed in hourly positions often characterized by inconsistent schedules and minimal pay, we recognize the urgent need for change.We are redefining frontline work by fostering a more flexible and efficient labor market. Our AI-driven platform empowers businesses to swiftly connect with top-tier talent while providing workers with immediate pay, complimentary telehealth services, opportunities for skill enhancement, and the freedom to select shifts that align with their expertise and availability.Our ambitious vision is to realign incentives and address inefficiencies within the labor market, challenging the $650 billion staffing and recruiting industry. Supported by Khosla Ventures and acknowledged by the Inc. 5000 for achieving 10x growth, WorkWhile is at the forefront of reshaping the future of work.

HeartFlow Inc. seeks a Senior Backend Software Engineer in San Francisco, California. This role centers on designing and enhancing backend systems that power the company’s cardiovascular analysis platform. The technology supports both clients and clinicians, contributing to patient care in the medical field. Key responsibilities Build and improve backend software components for HeartFlow’s main platform Work closely with engineering, product, and clinical teams Support software quality and reliability for medical use Take part in solutions that aim to improve cardiovascular health outcomes Location This position is onsite in San Francisco, California.

About Scribd:At Scribd Inc. (pronounced “scribbed”), we are driven by a mission to ignite human curiosity. Join our innovative team as we cultivate a universe of stories and knowledge, democratize the sharing of ideas and information, and empower collective expertise through our diverse products: Everand, Scribd, Slideshare, and Fable.This position is an officially approved, open role within our organization.We foster a culture where authenticity and boldness thrive; where discussions lead to commitment as we embrace unexpected challenges; and where every team member is empowered to take initiative with a steadfast focus on our customers.Our workplace structure emphasizes a balance between individual flexibility and community engagement. Through our flexible work initiative, Scribd Flex, employees can collaborate with their managers to design a work style that best suits their needs. Our approach prioritizes intentional in-person moments to strengthen collaboration, culture, and connection. Therefore, occasional in-person attendance is a requirement for all Scribd Inc. employees, regardless of their location.What do we seek in our new team members? We value “GRIT.” The essence of GRIT is the blend of passion and perseverance towards achieving long-term goals. At Scribd Inc., we believe in the immense potential this can unlock and encourage our employees to adopt a GRIT-driven approach to their work. In practical terms, GRIT also serves as an acronym that highlights the standards we uphold: we are searching for candidates who can set and achieve Goals, deliver Results in their responsibilities, contribute Innovative solutions, and positively impact the broader Team through collaboration and attitude.About the Team:The ML Data Engineering team is at the forefront of metadata extraction, enrichment, and content understanding across all Scribd brands. Our team processes hundreds of millions of documents and billions of images, providing high-quality metadata that enhances content discovery and trust for millions of users globally.Operating at scale, our systems manage diverse datasets including user-generated content (UGC), ebooks, audiobooks, and more. We work at the intersection of machine learning, data engineering, and distributed systems, closely collaborating with applied research and product teams to deploy scalable machine learning solutions.