Senior Software Engineer - Backend & Data

About Our Organization:Welcome to Scribd Inc. (pronounced “scribbed”), where our passion lies in igniting human curiosity through storytelling and knowledge-sharing. We invite you to join our dynamic team as we work towards democratizing the exchange of ideas and empowering collective expertise with our innovative products: Everand, Scribd, Slideshare, and Fable.This job posting represents an established opportunity within our organization.At Scribd, we cultivate a culture where authenticity and boldness thrive. We value open discussions and commitment as we embrace the unexpected, empowering every employee to take initiative while keeping our customers at the forefront.We believe in a balanced approach to work structure, merging individual flexibility with community engagement. Our Scribd Flex program allows employees, in collaboration with their managers, to choose work styles that best suit their needs. This initiative emphasizes the importance of intentional in-person gatherings to foster collaboration and connection. Thus, occasional in-person attendance is a requirement for all Scribd employees, regardless of their remote status.What do we seek in our new teammates? We prioritize candidates who embody “GRIT” – a blend of passion and perseverance towards long-term goals. At Scribd, we encourage a GRIT-driven approach to work, where the ability to set and achieve Goals, deliver Results, contribute Innovative ideas, and positively impact the Team through collaboration is essential.About the Team:Our ML Data Engineering team is at the forefront of metadata extraction, enrichment, and content understanding across all Scribd products. We manage vast volumes of documents and images, ensuring high-quality metadata that enhances content discovery and builds trust among millions of users around the globe.Our systems function on a massive scale, incorporating diverse datasets like user-generated content, ebooks, audiobooks, and more. We operate at the convergence of machine learning, data engineering, and distributed systems, working closely with applied research and product teams to deploy scalable ML solutions.

At Scribd, Inc., we aim to enhance human understanding. Our innovative products—Scribd®, Slideshare®, Everand™, and Fable—empower billions globally to not just access knowledge, but also to apply it and achieve expertise.Company CultureWe foster an environment where our employees can be authentic and courageous, engaging in constructive debates while embracing unexpected challenges. Every team member is encouraged to take initiative, prioritizing customer needs.We understand that optimal performance arises from a mix of personal flexibility and meaningful community interaction. Our Scribd Flex program allows team members to choose their working style and location, while still emphasizing in-person collaborations that enrich our culture. Attendance at occasional in-person events is necessary for all employees, regardless of their location.We seek team members who embody “GRIT”—a blend of passion and perseverance towards long-term objectives. This ethos informs our approach to setting and achieving Goals, delivering impactful Results, fostering Innovation, and enhancing our Team dynamics through collaboration.This posting represents an open position within our organization.About Our Team:Our ML Data Engineering team is responsible for metadata extraction, enrichment, and content comprehension across all Scribd offerings. We handle hundreds of millions of documents and billions of images, providing high-quality metadata to facilitate content discovery and trust for millions of users worldwide.Operating at a massive scale, our systems support diverse datasets, including user-generated content (UGC), ebooks, audiobooks, and more. We collaborate closely with applied research and product teams to deploy scalable machine learning and large language model (LLM)-powered solutions in production.Role Overview:We are looking for a Software Engineer II with robust backend development expertise and a keen interest in addressing complex data challenges at scale. You will design, build, and optimize distributed systems that extract, enrich, and process metadata for a variety of content. This role involves close collaboration with ML engineers, product managers, and cross-functional teams.

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.

Pinterest’s Core and Monetization engineering teams are seeking Backend Software Engineer II candidates in San Francisco, CA or Seattle, WA. This position centers on building frameworks and features that serve both Pinterest’s developers and its millions of users. What you will do Collaborate with product managers, designers, and fellow engineers to define and deliver new technologies and user experiences. Design and implement solutions for complex technical challenges. Support projects through every stage, from concept and technical design to implementation and launch. Team environment Engineers at Pinterest work in a setting that values flexibility and unique perspectives. The company’s PinFlex approach supports different ways of working and encourages growth and innovation. AI and engineering AI plays a significant role at Pinterest, partnering with teams to enhance creativity and impact. Candidates with an interest in AI will find opportunities to collaborate with this technology. The interview process will focus on foundational engineering skills and teamwork with AI, and candidates should be ready to discuss their problem-solving methods and thought process. For more on Pinterest’s work culture and approach to AI, visit PinFlex and AI in hiring.

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

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.

Role Overview Sigma Computing builds a high-performance platform focused on modern data architecture. The engineering team is growing, and the company is looking for experienced backend engineers who enjoy solving complex problems and building features that matter. The mission: make data accessible for every user. What You Will Do Address technical challenges that come with delivering interactive data exploration and analysis on top of data warehouses. Work with technologies such as Rust, Go, GraphQL, Node, and Kubernetes. Build backend distributed services, develop new algorithms, and create APIs to power cloud-based applications. Investigate, debug, and resolve product or system issues by identifying their underlying causes. Design and implement new software features to support a growing user base. Participate in design and code reviews with colleagues and stakeholders to uphold best practices across the technology stack. Location This position is based in San Francisco, CA.

Mixpanel’s Reporting & Analysis team creates tools that help customers understand how people use their products. This work covers metrics such as daily engagement, completion rates for key flows, common user paths, and retention after signup. The dashboards aim for both clarity and depth, giving teams the information they need to make informed decisions and test ideas. What you will do Work with a small group of engineers (typically 2 to 5) to design and build backend systems for analytics dashboards Collaborate closely with product managers and designers to identify the insights users value most Help deliver tools that make complex data accessible and useful for customers How the team works Each engineering group operates with a high degree of autonomy. Teams decide how to approach problems and which solutions best serve Mixpanel’s users. This structure encourages ownership and creativity in building analytics products. Location This role is based in San Francisco with a hybrid work arrangement.

About FormalAt Formal, we are redefining data security with our innovative platform that empowers teams to effortlessly manage and understand their data.We are developing a cutting-edge protocol-aware reverse-proxy for datastores and APIs, enabling organizations to gain real-time insights into their data management. This ensures that sensitive information is handled with utmost care through robust masking, filtering, and anonymization policies.Our solutions are trusted by industry leaders like Ramp, Gusto, and Notion, addressing critical needs in data security, compliance, quality management, and infrastructure access.Backed by leading venture capital firms such as Thrive Capital and Y Combinator, along with angel investors who are executives and founders from top tech companies like Datadog, Clickhouse, Plaid, and Vanta, Formal is poised for rapid growth.About the RoleWe are on a quest to assemble the most talented engineering team and are seeking individuals eager to make significant contributions towards shaping our product and advancing our mission.The ideal candidate will possess extensive experience in developing scalable backend systems, demonstrate a strong sense of ownership, and thrive in managing projects from concept to production deployment.Our current technology stack includes Golang, Rust, Temporal, various datastore protocols (Postgres, S3, Kafka, MySQL, Snowflake, Redshift, SSH), and AWS.What You'll DoDesign and implement a high-performance data platform capable of processing large data volumes in real-time.Develop new product features from initial research through implementation and ongoing maintenance.Enhance the performance and reliability of both new and existing features.Lead initiatives that you believe will significantly impact Formal's success.Architect scalable services as our organization expands and manages increased traffic.What You NeedProven experience in software development focusing on data-intensive platforms.A commitment to writing simple, high-performance code.Strong expertise in Golang with a solid understanding of its ecosystem.Experience with streaming data processing frameworks such as Apache Kafka and Google Pub/Sub.

About Our TeamAt DoorDash, data drives our success. Our Data Engineering team is pivotal in building robust database solutions tailored for diverse applications, including reporting, product analytics, marketing optimization, and financial reporting. By architecting pipelines, data structures, and data warehouse environments, we enable data-driven decision-making across the organization.About the RoleWe are seeking a talented Software Engineer II to join our team as a technical leader, responsible for scaling our data infrastructure, enhancing automation, and developing tools to support our expanding business needs.What You Will DoCollaborate with business partners and stakeholders to gather and understand data requirements.Work alongside engineering, product teams, and external partners to ensure seamless data collection.Design, develop, and implement high-performance data models and pipelines for our Data Lake and Data Warehouse.Establish and execute data quality checks, conduct thorough QA, and implement monitoring routines.Enhance the reliability and scalability of our ETL processes.Manage a suite of data products that deliver accurate and trustworthy data.Support and onboard new engineers as they join our team.What We Are Looking For3+ years of professional experience in data engineering, business intelligence, or a related field.Proficiency in programming languages such as Python and Java.3+ years of experience with ETL orchestration and workflow management tools, including Airflow, Flink, Oozie, and Azkaban, using AWS/GCP platforms.Strong understanding of database fundamentals, SQL, and distributed computing.3+ years of experience with distributed data ecosystems (e.g., Spark, Hive, Druid, Presto) and streaming technologies like Kafka and Flink.Experience with Snowflake, Redshift, PostgreSQL, and/or other database management systems.Excellent communication skills with a proven ability to liaise with both technical and non-technical teams.Familiarity with reporting tools such as Tableau, Superset, and Looker.Able to thrive in a fast-paced and dynamic environment.

About Stand Insurance Stand Insurance is rethinking how property risks are understood and managed. By combining advanced physics with artificial intelligence, the team models catastrophic risks at the asset level and automates underwriting and risk mitigation before losses happen. Instead of simply delivering insurance, Stand builds a scalable risk engine that aims to deliver real-world impact and stay in markets where others exit. Traditional property insurance often relies on outdated data and manual workflows, accepting damage as a given. Stand takes a different path: simulating real-world catastrophes for individual properties, turning those simulations into actionable steps, and automating operations around those insights. The result is a platform that can underwrite risks others avoid, while reducing operational friction. Role Overview: Machine Learning Engineer – Data Pipeline This role centers on building and maintaining the tools behind Stand’s data annotation pipeline. Areas of focus include computer vision, human-in-the-loop management, quality assurance, and economic optimization. The main goal: increase automation and lower cost-per-policy, while keeping quality high. Early on, work will involve hands-on management of the pipeline, quality checks, and close coordination with the annotation team. As experience grows, the focus will shift to developing advanced data science and machine learning systems, especially around quality instrumentation, automated QA, predictive labeling, and computer vision models. Over time, the role will evolve into shaping a systems-driven, automation-focused framework for the entire annotation lifecycle. Key Responsibilities Pipeline Operations and Reliability Monitor and maintain the daily health of the annotation pipeline Set up escalation protocols and frameworks for categorizing failures Lead the transition from manual to automated operations Quality Instrumentation Design validation systems that align with downstream model metrics Develop anomaly detection models for annotation workflows Automate tasks to cut down on manual QA effort Vendor and Annotator Performance Define and track performance metrics for vendors and annotators Location San Francisco

Databricks is seeking an experienced Engineering Manager to lead our Pipelines Engine team. In this role, you will oversee the development and optimization of our data pipeline infrastructure, ensuring that we deliver high-performance solutions that meet the needs of our clients. You will collaborate with cross-functional teams to drive innovation and maintain our leadership in the data analytics space.

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.

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.

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

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 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 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 World Labs: At World Labs, we are pioneers in building foundational world models that can perceive, generate, reason, and engage with the 3D environment. Our mission is to unlock the full potential of artificial intelligence through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into creativity. We believe that spatial intelligence will pave the way for new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our team is composed of exceptional talent united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. Together, we create a dynamic feedback loop between our cutting-edge research and innovative products that empower our users. Role Overview We are in search of a dedicated 3D Data Pipeline Engineer to design, build, and manage the critical systems that facilitate high-quality 3D data processing, synthetic data generation, and rendering across our suite of products. This hands-on role is ideal for someone enthusiastic about large-scale 3D data, system performance, and establishing reliable data pipelines to enhance our product features. In this position, you will collaborate closely with product engineers, 3D artists, and research scientists to develop efficient, robust, and scalable data pipeline capabilities while ensuring high data integrity and performance in our fast-paced startup environment.