Backend Staff Software Engineer

Join Hilbert, a cutting-edge growth engine driven by data science, revolutionizing how B2C teams gain predictive insights into user behaviors and revenue generators.From Fortune 10 companies to popular brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is the go-to platform for growth. We are also collaborating with leading AI firms to enhance our offerings.We are seeking a passionate Martech Data Engineer who excels in navigating the APIs of today's marketing technology landscape. Our vision is to achieve 'Zero-Config' data ingestion, allowing clients to effortlessly connect their Facebook Ads or Klaviyo accounts and receive instant insights from Hilbert AI. You will play a crucial role in making this vision a reality by mastering the complexities of various marketing and CRM tools.KEY RESPONSIBILITIESAPI Mastery: Deep familiarity with the documentation of leading platforms such as Facebook Ads, Google Ads, TikTok, GA4, Klaviyo, or Braze, understanding their intricacies.Generic Solutions: Your aim is to create solutions that are universally applicable across clients using the same tools, not just one-off custom fixes.Data Transformation: Proficiency in converting complex JSON responses from third-party APIs into streamlined analytical schemas.Technical Skills: Strong command of Python and experience with Airbyte (building custom connectors is highly desirable). Familiarity with ClickHouse-like OLAP databases is a plus.IDEAL CANDIDATEExperience in developing and automating data ingestion pipelines for major marketing platforms.Ability to design workflows with minimal configuration, facilitating smoother onboarding experiences for our customers.Expertise in mapping event data from platforms like Posthog, Segment, GA4, or Bloomreach into a cohesive identity and event stream.Collaborate closely with the Core Data team to ensure seamless integration of Martech data into our primary ClickHouse and ML environment.Bonus QualificationsExperience in the E-commerce or Retail sectors, with a clear understanding of concepts such as SKUs and attribution windows.Familiarity with product event usage data.Contributions to open-source projects in relevant technologies.

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 Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and driving significant upside in financial markets. Established in 2020 by George Sivulka and supported by prominent investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for leading firms like BlackRock, KKR, Carlyle, and Centerview, among others, comprising over 40% of the world’s largest asset managers. Our flagship product, Matrix, is renowned for its industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to oversee more than $30 trillion in assets globally. We provide the intelligence that gives finance professionals a critical edge in their decision-making processes. Our advanced AI capabilities reveal hidden signals, uncover opportunities, and facilitate rapid decisions with unparalleled assurance. Rather than merely streamlining workflows, we fundamentally transform capital deployment, risk management, and value creation across markets. Hebbia is more than a tool; it is the competitive advantage that enhances performance, alpha, and market leadership. The Team The Growth and Data team at Hebbia serves as the powerhouse that supplies our AI platform with the essential data for reasoning and retrieval. We are tasked with sourcing, indexing, and enriching a vast array of content from diverse sources, including private enterprise data, public datasets, and third-party platforms, ensuring seamless delivery to enhance user workflows and agentic research. We develop robust integrations with platforms such as Snowflake, S3, SharePoint, and Dropbox, allowing organizations to securely unify their data ecosystems. From discovery and search processes to retrieval-augmented deep research within chat matrix frameworks, the data we provide is integral to powering every aspect of the AI platform. The Role As a Backend Software Engineer on Hebbia’s Growth and Data team, you will be responsible for designing and maintaining the robust backend systems that drive user engagement and contribute to Hebbia's ongoing growth. Your role involves architecting and implementing scalable solutions to enhance our platform's capabilities.

Join Loft Orbital as a Backend Engineer on our innovative Data Management Services (DMS) team, where you will play a crucial role in transforming satellite data into actionable insights.At Loft Orbital, our DMS team is responsible for the Cockpit backend services that efficiently transfer payload data from our satellites to our valued customers. You will collaborate with a dynamic team that develops and maintains systems for data ingestion from ground stations, ensuring data is processed, categorized, tracked, and delivered reliably to both internal tools and external endpoints.As part of your role, you will design and scale microservices and data pipelines that connect ground segment, satellite operations, and customer deliveries, turning raw data from orbit into useful products. You will work closely with backend developers, ground software engineers, flight software teams, space infrastructure experts, and customer operations personnel, directly impacting the speed and reliability of data delivery to our clients. We also provide SatDevOps training, allowing you to not only create the tools but also utilize them in spacecraft operations.If you are passionate about building backend systems that handle and transform satellite data at scale, and you enjoy both deploying code and observing its performance in real-world operations, we encourage you to apply.

Join Meter: Pioneering the Future of NetworkingAt Meter, we are dedicated to transforming the landscape of the computer networking industry. With billions spent annually on networking infrastructure across sectors like data centers, offices, and schools, the demand for robust and efficient networks is higher than ever.Traditional networking solutions often result in disjointed systems—hardware, software, and operational processes that exist in silos. This fragmentation leaves network engineers grappling with complex configurations and troubleshooting. At Meter, we have taken a bold step by integrating all aspects of networking—from hardware and firmware to operating systems and real-world operations—creating a seamless experience for our clients. Our vision is to redefine internet infrastructure as a utility, recently bolstered by our successful $170M Series C funding.Why Focus on Data Centers?Data centers are crucial in our evolution at Meter. Our strong foundation in enterprise and campus networking has paved the way for us to enhance our platform, facilitating efficient data movement within and across data centers. As we look to the future, the importance of data centers is set to escalate, with projections indicating a staggering $3 trillion in global spending by 2029.The Significance of Your RoleAs we innovate our switching products tailored for data center users, your role as a Backend Engineer will be pivotal. You will collaborate closely with our firmware and frontend teams to ensure our infrastructure meets the demanding standards of performance, reliability, and monitoring. Your contributions will be instrumental as we establish ourselves as a trusted vendor in this competitive market.

Join Clipbook: Pioneering the Future of Communication.As the leading vertical AI innovator in the $100 billion communications, public relations, and public affairs sectors, Clipbook is reshaping how leaders listen to and engage with the world.Founded in 2023, we have rapidly established ourselves as the foremost AI company in this domain, attracting investment from notable figures like Mark Cuban, who co-led our seed funding round.Learn more about us:We achieved our first million in Annual Recurring Revenue (ARR) while bootstrapping and reached profitability prior to raising our $3.3 million seed round this year.Our growth trajectory exceeds 10% month-over-month, positioning us to triple our ARR this year.We proudly serve over 200 clients, including the Boston Consulting Group, Weber Shandwick, the Gates Foundation, and numerous government agencies nationwide.We are on track to secure our Series A funding in early 2026.Your RoleDesign and Build Core Backend Systems. Make critical architectural decisions across our backend stack, including Python, Node.js, and PostgreSQL. Own features from conception through deployment and user interaction. We value a pragmatic approach with a strong opinions, weakly held mindset.Create Scalable Data Infrastructure. Develop and manage pipelines for ingesting, normalizing, indexing, and querying large, multi-modal datasets from various sources, including news and social media.Develop High-Performance APIs and Services. Build reliable interfaces and internal services that enhance our product, ensuring security and an effortless experience for users.Integrate AI into Practical Workflows. Implement large language models and classical machine learning models for applications requiring high uptime, including prompt execution and retrieval-augmented generation (RAG) pipelines.Engage with Clients. Participate in client calls to understand their challenges and iteratively develop impactful solutions for communications and public affairs teams.

Join Truebill as a Senior Full Stack Engineer specializing in Partnerships and Marketing Technology. In this pivotal role, you will collaborate with cross-functional teams to develop scalable solutions that enhance customer experiences and drive business growth. Your expertise in both front-end and back-end technologies will be essential in creating innovative platforms that support our strategic partnerships.

CHAOS Industries is at the forefront of transforming modern defense through innovative systems specifically designed for the challenges of today's world. Founded by seasoned U.S. military veterans and Silicon Valley pioneers, our groundbreaking products leverage Coherent Distributed Networks (CDN™) to empower warfighters, commercial aviation operators, and border security teams to respond swiftly, adapt to changing scenarios, and stay ahead of emerging threats. In an era where technological threats evolve rapidly, CHAOS Industries provides advanced sensing and detection solutions that offer a critical advantage: time. Established in 2022, CHAOS Industries has successfully secured $1 billion in funding from top-tier investors such as 8VC, Accel, and NEA. Our headquarters are based in Los Angeles, with additional offices located in Washington, D.C., San Francisco, Seattle, and London. To learn more about our mission and values, please visit www.chaosinc.com. The RoleWe are seeking a talented software engineer to develop the backend systems that drive our sensor infrastructure, which includes services that ingest, process, and deliver data from radar, RF, and other sensing modalities at scale. You will have the opportunity to design and manage cloud-native systems on Azure, collaborating with systems, hardware, and software engineers within a small, autonomous team. This role is pivotal in its early stages, allowing you to make significant architectural decisions, deliver production-ready code, and see your contributions directly impact the safety of individuals. What You’ll Do- Design and build scalable backend services using Python to process and serve sensor data on Azure.- Architect cloud infrastructure to support high-throughput, low-latency data pipelines.- Develop and maintain CI/CD pipelines, testing infrastructure, and release processes.- Collaborate closely with hardware and systems engineering teams to seamlessly integrate software with physical sensor systems.- Make foundational software architecture decisions as a key team member.- Mentor and guide engineers as the team expands.- Travel occasionally to other offices (LA, DC) and customer sites.

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 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.

Join HockeyStack, where we are revolutionizing B2B sales and marketing through advanced AI systems.We seamlessly integrate with a multitude of tools across the go-to-market stack, merging first and third-party data to create the industry's most comprehensive event-level data foundation. Our capabilities include:Analyzing every deal won and lost to uncover revenue-driving patterns, enabling real-time guidance for sales representatives.Identifying key factors influencing the sales pipeline, providing immediate insights without the need for extensive manual analysis.Learning from every outcome and interaction, continuously improving our system's performance and accuracy.Unlike others, our structured reasoning layer ensures deterministic and self-improving agent execution. As a Y Combinator alum with a $26M Series A led by Bessemer Venture Partners, we are experiencing rapid growth with an 8-figure ARR and over 60 TB of GTM data processed. We are looking for dynamic individuals ready to succeed. This position can be based in our San Francisco HQ or be fully remote. Your MissionAs the Backend Tech Lead for the Data API team, you will design and scale our core API infrastructure, which is critical for Marketing, Sales, and Customer Success operations. You will oversee the engineering of services that manage over 60 TB of GTM data, ensuring the delivery of low-latency, high-availability APIs that provide valuable buyer insights to our internal applications and customer-facing dashboards.This is an exceptional opportunity for an engineer eager to take ownership of large-scale data and API infrastructure while fostering engineering excellence and rapid deployment in a fast-paced environment. What You’ll DoLead the design and development of APIs to share GTM data with both internal and external users.Oversee the architecture for large-scale data access patterns, focusing on performance, cost-effectiveness, and reliability.Work closely with AI, data, and frontend teams to ensure smooth integrations and clear API contracts.Address complex challenges including versioning, rate-limiting, authentication, query complexity, and cache invalidation in a rapidly evolving product landscape.

Who We AreAt Doss, we are pioneering the future of data management, creating the "Terraform for operators". Our cutting-edge AI-driven schema layer facilitates the transformation of white-labeled data warehouses, enabling physical-goods companies to adapt their record systems at the same pace as their evolving business operations.Imagine a world where AI foundation models streamline schema migrations, provide real-time observability across operational and financial data, and manage complex version control of schema and data changes, all while allowing workflows to be composed similarly to infrastructure code.Your RoleDesign a robust EAV data model & schema-as-code platform that underpins each client instance, ensuring a harmonious balance between flexibility and transactional integrity.Develop a Git-style version control and migration engine capable of executing complex schema and data changes in live enterprise environments, rolling forward or back as needed.Create AI-assisted tools that harness foundation models to suggest, validate, and implement new customer schemas and workflow definitions.Enhance our white-labeled data warehouse (similar to BigQuery or Snowflake) to support high-volume, low-latency analytics and automation tasks.Build Terraform-like declarative APIs & SDKs that empower operations teams to treat business processes as code while upholding security, tenancy, and performance standards.Provide comprehensive observability & search across supply chain, finance, and operational data, illuminating business logic in intuitive language via AI-native search functionalities.Implement enterprise guardrails within a composable system to proactively identify anomalous behaviors or emerging risky patterns.Foster a mentoring environment that shapes engineering culture, collaborating with product and design teams to transform complex back-office challenges into elegant, resilient systems that are favored by operators.

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.

Join Our Team at ReductoAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision. Our innovative approach tackles the challenge of unstructured data, unlocking insights hidden in formats like PDFs and spreadsheets. By training vision models to interpret these documents just as a human would, we enable the development of advanced products, the training of effective models, and the automation of processes at scale.As a rapidly growing company, we have seen a remarkable 7x year-over-year revenue increase, collaborating with a diverse range of companies from top-tier AI teams such as Harvey and Vanta to major enterprises like FAANG and leading trading firms. Our success has attracted over $100 million in funding from renowned investors including A16z, Benchmark, and First Round Capital, and we are on the lookout for a talented Backend/AI Engineer to join our ranks.Exciting OpportunityIn the role of Backend/AI Engineer, you will be instrumental in developing our core API that facilitates document parsing for hundreds of organizations. You will have the chance to integrate state-of-the-art large language models (LLMs), optimize document processing workflows, and construct the infrastructure that democratizes advanced document understanding on a large scale.

Join us in building the data backbone for real-world robotic operations.The field of robotics is evolving from theoretical research into practical applications within factories, warehouses, transport systems, and various on-site deployments. When robots encounter failures or unexpected behaviors, engineers depend on data to diagnose issues and enhance systems.At Foxglove, we create observability, visualization, and data infrastructure that empowers robotics and autonomous systems teams to efficiently ingest, store, query, replay, and analyze extensive multimodal sensor data from active systems and operational fleets.About the RoleWe are seeking a highly skilled and adaptable Forward-Deployed Backend Engineer to join our dynamic team. This role is tailored for a product-focused engineer who excels in customer-facing roles and is passionate about tackling complex challenges in robotics and observability.As a Forward-Deployed Engineer, you will collaborate directly with key customers to integrate and enhance Foxglove's platform within their environments, while also contributing to our core product development. This position combines hands-on coding, innovative problem-solving, and close partnership with customer teams. You will serve as a reliable engineering partner, ensuring that Foxglove is intricately integrated into customer workflows and identifying opportunities for enhancements based on real-world applications.Key ResponsibilitiesCustomer Engagement – Collaborate closely with customer teams to comprehend their business objectives, domain constraints, and technical needs.Solution Design & Development – Architect and develop comprehensive solutions using an experiment-driven, iterative methodology (TypeScript/React, Node.js, Python, ROS, SQL).Project Scoping & Planning – Create clear scopes of work, timelines, and success metrics for projects ranging from proofs-of-concept to full-scale roll-outs.Hands-On Implementation – Collaborate directly with customer engineers, deploying solutions on their cloud or on-premises environments to guarantee successful adoption.Cross-Functional Collaboration – Work closely with Sales and Customer Success teams on shared accounts to ensure seamless customer experiences and measurable results.Feedback Integration – Communicate insights from the field to Research, Product, and Engineering teams; your feedback will influence our development roadmap.

About UsWe are an innovative stealth-mode company funded by a16z Speedrun, dedicated to empowering leading consumer brands to achieve exceptional growth. Our cutting-edge solutions have gained the trust of pioneering organizations like Higgsfield and Promova among others. As we expand, we seek talented individuals who are eager to make a significant impact in the realm of consumer technology. You will be part of a passionate team at a crucial juncture, thriving in an environment that champions initiative, ambition, and creative solutions.The RoleAs a Senior Backend Engineer, you will be instrumental in developing and maintaining the essential backend infrastructure that powers our products. Your responsibilities will include:Designing scalable architectures that effectively support new product features and business objectives.Leading the development, deployment, and optimization of backend services to ensure top performance, reliability, and maintainability.Collaborating with cross-functional teams to seamlessly integrate third-party platforms, APIs, and cutting-edge AI technologies.Facilitating technical discussions, providing mentorship, and sharing best practices with fellow team members.Actively contributing to the continuous enhancement of our engineering standards and development workflows.Proactively identifying and addressing complex technical challenges to ensure stable and secure operations.What We ExpectA minimum of 5 years of professional experience in backend development, showcasing a history of delivering reliable and scalable systems.Advanced expertise in server-side programming and experience in designing database-driven applications.A solid understanding of API development, systems integration, and software engineering best practices.Proven experience in building and maintaining production environments that scale effectively for real users.An independent, proactive approach to problem-solving, coupled with the ability to drive projects forward.A commitment to joining our team full-time, with a desire to grow within a fast-paced, ambitious startup.How to ApplyPlease send us a brief introduction about yourself, along with a description of a technical project or system you are most proud of. We are excited to learn how you can contribute to our vision and success.

About the PositionAs a Senior Backend Engineer at Nash, you will be instrumental in the design and development of our backend systems, services, and APIs. Collaborating closely with our CTO, co-founder, and the engineering and product teams, you will help scale our platform, enhance performance, and build a robust infrastructure that facilitates seamless logistics operations. This role presents an exciting opportunity to contribute to Nash as we create innovative products across the logistics value chain for enterprises, marketplaces, and small to medium-sized businesses (SMBs).Key ResponsibilitiesDesign, develop, and maintain high-performance, scalable backend services and APIs.Architect and implement efficient data structures and models.Optimize system performance, scalability, and security.Debug, troubleshoot, and resolve backend issues in production environments.Work closely with frontend engineers to develop seamless API integrations.Implement best practices for observability, monitoring, and logging to ensure system reliability.Collaborate both independently and as part of a team to tackle complex technical challenges.Promote best practices in documentation, testing, and maintainability.Qualifications4+ years of experience in developing and deploying scalable backend systems.Proficient in Python and related backend frameworks.Experience in designing and utilizing RESTful APIs and databases (e.g., PostgreSQL, AWS RDS).Solid understanding of cloud platforms (preferably AWS) and deployment best practices, including managed services (serverless, databases, queues) and CI/CD pipelines.In-depth knowledge of scalable system design and performance optimization.Exceptional problem-solving skills with the ability to work independently in a dynamic environment.Startup experience is advantageous but not mandatory.Preference for candidates located in the Bay Area; Nash operates a hybrid-first product team with an office in San Francisco.Bonus: Familiarity with AsyncIO and event-driven programming.

Who We AreAt Doss, we are pioneering the next generation of operational technology. Our mission is to create the "Terraform for operators," an innovative AI-driven schema layer that empowers physical goods companies to adapt their record-keeping systems with the agility of their evolving business operations.Imagine a world where AI foundation models facilitate seamless schema migrations, enable real-time observability of operations and finance data, and allow complex versioning of schema and data changes akin to Git workflows—where workflows are composed as effortlessly as infrastructure code.Your ResponsibilitiesDesign and develop the core EAV data model & schema-as-code platform that underpins our customer instances, ensuring a balance between flexibility and transactional integrity.Create a Git-style version control and migration engine that efficiently manages complex schema and data changes in live enterprise settings.Develop AI-assisted tools that leverage foundation models to propose, validate, and implement new customer schemas and workflows.Scale our white-labeled data warehouse (similar to BigQuery/Snowflake) to handle high-volume, low-latency analytics and automation tasks.Build Terraform-like declarative APIs & SDKs enabling operations teams to treat business processes as code while ensuring security, performance, and tenancy.Provide end-to-end observability and search capabilities across supply chain, finance, and operations data—translating complex business logic into comprehensible language through AI-driven search functionalities.Implement enterprise guardrails in a composable system to proactively identify anomalous behaviors or risky patterns.Mentor fellow engineers and help cultivate a strong engineering culture, working alongside product and design teams to transform operational challenges into elegant, robust systems that operators love.