Systems PhD - Software Engineer

Role OverviewJoin our dynamic engineering team at prorata, where you will play a pivotal role in developing cutting-edge backend services, efficient data processing pipelines, and resilient storage solutions. As an expert in Python, distributed systems, and both relational and NoSQL databases, you will leverage your skills to design and implement highly available services while optimizing data access patterns. Your ability to navigate architectural trade-offs and evaluate various design methodologies will enable you to deliver clean, scalable solutions that meet our performance, reliability, and cost objectives.Key ResponsibilitiesDesign, develop, and maintain scalable, high-performance backend services using Python.Architect solutions for data-intensive systems that efficiently process and serve large structured and unstructured datasets in real-time.Create APIs, microservices, and workflow pipelines that underpin critical platform components.Take ownership of SQL and NoSQL data schema design, data access patterns, indexing strategies, and performance enhancements.Propose and implement strategies to improve service reliability, efficiency, observability, and cost-effectiveness.Integrate intelligent automation and agentic workflows into backend systems for seamless task orchestration.Collaborate across teams, including product, data, and revenue, to develop new customer-facing features and enhance internal data capabilities.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.A minimum of 5 years of progressive software engineering experience with increasing technical responsibilities.At least 3 years of hands-on experience in Python development, specifically in building production-grade backend systems.Strong knowledge of distributed systems, microservices, and event-driven architectures.Proficient in SQL databases (e.g., PostgreSQL, MySQL) with a focus on query optimization and schema design.Familiarity with NoSQL technologies like Elasticsearch, MongoDB, or Redis.Experience in deploying solutions on cloud platforms, particularly public cloud services.

Immigration / Work Authorization Notice: iSpot.tv does not offer visa sponsorship or immigration support for this position. Candidates must already have authorization to work in the United States on a full-time, permanent basis without current or future sponsorship needs. iSpot.tv offers a competitive compensation package, including salary and equity, as well as standard benefits. The company is based in Bellevue, WA and is recognized as one of Seattle’s notable start-ups. The team values a collaborative workplace where each person has a direct impact on success. Team and Focus This Software Development Engineer I role joins the Publisher Team, which focuses on integrating AI-driven solutions across the Creative, Audience, and Outcomes (CAO) pillars. The team’s mission is to move beyond simple automation and embed artificial intelligence throughout iSpot’s measurement platform. The position offers hands-on experience at the intersection of big data, AI, and software engineering. Team members help shape the direction of future iSpot products, working in an environment where AI is central to the development process. Key Responsibilities Collaborative development: Partner with senior engineers and AI specialists to design, build, and launch product features enhanced by artificial intelligence. Full-stack engineering: Write, test, and maintain production code for data pipelines, APIs, and autonomous agent workflows. AI-native workflows: Use AI copilots for coding, testing, and documentation to increase productivity and quality. Agile practices: Participate in sprint planning, code reviews, and retrospectives to support team standards and collaboration. DevOps involvement: Set up and manage CI/CD pipelines, including human-in-the-loop validation for reliable deployments. Rapid prototyping: Help move ideas quickly from concept to MVP, validating features and measuring real-world impact. System monitoring: Monitor performance, reliability, and scalability of deployed systems.

Be a Part of the Future of Finance!At Robinhood, our mission is to make finance accessible to everyone. With an estimated $124 trillion of assets set to be inherited by younger generations in the coming decades, we are at the forefront of a monumental financial revolution. Ready to play a pivotal role in this transformative journey? Keep reading!About the Team and RoleWe are assembling a top-tier team that leverages cutting-edge technologies to tackle the largest challenges in finance. We seek innovative thinkers, adept problem-solvers, and builders eager to make a significant impact. At Robinhood, complacency is not an option; we foster an environment where ambitious individuals can excel and produce their best work. Our high-performing, fast-paced team operates with ethics at the forefront of our endeavors, where high expectations are met with equally high rewards.The Business Systems team empowers Robinhood's workforce by providing secure, scalable, and innovative internal technology solutions that support essential functions across Finance, Compliance & Legal, and HR & Recruiting. Our mission is to streamline complex internal workflows, enhance efficiency, and enable teams to perform at their best through well-designed systems and tools.The Agentic Apps team is tasked with developing and scaling intelligent, agent-driven systems that support both internal tools and broader AI initiatives at Robinhood. Our goal is to make agentic AI practical and production-ready by creating intuitive tools, robust full-stack systems, and strong quality foundations that enable teams to experiment rapidly, deploy confidently, and scale reliably.As a Senior Full Stack Software Engineer on the Agentic Apps team, you will focus on Corporate Engineering and Business Systems initiatives. Your contributions will involve designing and building AI-powered internal applications and agents that are utilized daily by Robinhood employees. You will work across frontend, backend, and AI orchestration layers to deliver reliable, user-friendly tools that significantly enhance internal team operations, applying agentic AI in a product-oriented manner rather than through research or model development.At Robinhood, we value the power of in-person collaboration to accelerate progress, ignite innovation, and strengthen community. Our office environment is intentional, energizing, and designed to fully support high-performing teams. This position is based in our Bellevue, WA and Menlo Park, CA offices, with a requirement for in-person attendance at least three days a week.

The Trade Desk is a pioneering global technology company dedicated to enhancing the internet through principled and intelligent advertising. Our platform processes over 1 trillion queries daily, operating at an unparalleled scale. We've cultivated an award-winning culture rooted in trust, ownership, empathy, and collaboration. We celebrate the unique experiences and perspectives of each individual at The Trade Desk and are committed to creating inclusive environments where everyone can be their authentic selves. Are you passionate about tackling complex problems at scale? Do you want to join a vibrant, globally-connected team where your contributions will significantly impact the media ecosystem? Discover why Fortune magazine consistently ranks The Trade Desk among the best small to medium-sized workplaces worldwide. As a Senior Software Engineer, you will take ownership of the end-to-end development process, engaging in various aspects of designing, building, and delivering data-driven products for our stakeholders. At The Trade Desk, we emphasize quality in building the back-end infrastructure of our platform. Whether we’re developing components for client-facing applications, crafting internal solutions for our teams, or creating model pipelines for bidding optimizations, we ensure that our infrastructure, tools, and development practices are top-notch and efficient. Our systems operate continuously, managing global traffic. We thrive in a collaborative environment, utilizing a diverse range of technologies. Our back-end engineers focus on solving algorithmic, optimization, and scalability challenges in all our endeavors.

Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.

ProRata.ai creates AI-powered solutions for digital advertising. The company’s flagship platform, ProRata Ads, uses patent-pending AI agent technology to deliver contextual, prompt-driven ads that recognize brand intent and content meaning in real time. ProRata Ads currently supports ad experiences on Gist.ai and an expanding group of premium publishers. Role overview This Principal Software Engineering Manager position is based in Bellevue, WA. The role blends hands-on technical leadership with responsibility for team development. As the technical lead, the manager will own key parts of the ProRata Ads infrastructure, including low-latency decision systems, agentic backend workflows, analytics, and fraud detection. Collaboration with frontend, product, and business development teams is central to building a scalable, reliable ad platform designed for AI-native environments. What you will do Lead the design and development of ad serving infrastructure, emphasizing high throughput, sub-100ms latency, and reliability at scale. Architect and build backend systems using large language models (LLMs) to enable intelligent workflows for contextual ad placement, creative optimization, real-time brand safety, and dynamic decision-making. Work with the frontend team on campaign management tools, creative generation and optimization, and advertiser-facing features. Design and implement scalable systems for reporting, analytics, and fraud detection to maintain trust and transparency in the ad ecosystem. Set technical direction for cloud-native, distributed systems, balancing cost, latency, availability, and AI inference efficiency. Mentor and grow the engineering team by providing technical guidance, conducting code and design reviews, and supporting recruitment. Collaborate with Product, Ads Engineering, and Business Development to turn business requirements into production-ready systems. Shape the technical roadmap, focusing on GenAI integration, prompt-based advertising, and performance in AI-driven settings. Location This role is based in Bellevue, WA.

Senior Staff Software Engineer - Money Team P-940 At Databricks, we are passionate about harnessing the power of Data and AI to tackle some of the world’s most challenging issues, from detecting security threats to developing revolutionary cancer treatments. Our mission is centered around delivering the best data and AI infrastructure platform, empowering our customers to concentrate on high-impact challenges that define their strategic objectives. Founded in 2013 by the pioneering minds behind Apache Spark™, Databricks has transformed from a modest office in Berkeley, CA, into a global enterprise with over 6,500 dedicated employees. Trusted by thousands of organizations, ranging from startups to Fortune 100 companies, we have established ourselves as one of the fastest-growing SaaS companies worldwide. The Money Team at Databricks is committed to maximizing the value our customers receive from their data investments. We achieve this through innovative commercialization strategies and advanced engineering solutions. Our team is responsible for providing accurate, timely, and customizable billing and usage data, along with budgeting, forecasting, and cost optimization tools. We ensure a seamless billing experience for all customers, whether large enterprises or individual developers, across various pricing plans and cloud providers (AWS, GCP, and Azure). As a software engineer on the Money Team, you will play a pivotal role in the entire billing lifecycle, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions will be vital in democratizing data and bringing Databricks products to market. Collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, delivering a unified "sky computation" experience to our customers. This position will require you to leverage the latest Databricks products and tools within our ecosystem. Your Impact: Design and manage the Money systems and services, commercializing all Databricks products and offerings. Develop innovative solutions that enable and support diverse pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with commercialization experts to conceptualize and implement cutting-edge pricing strategies and plans. Utilize AI and machine learning models to innovate in cost management and optimization.

P-940 This position is open to our offices in both Seattle and Bellevue. At Databricks, we are dedicated to empowering data teams to tackle the world's most pressing challenges, from detecting security threats to innovating in cancer drug development. By constructing and managing the globe's premier data and AI infrastructure platform, we enable our clients to concentrate on the critical challenges central to their missions. Founded in 2013 by the original architects of Apache Spark™, Databricks has expanded from a modest office in Berkeley, California to a global powerhouse with over 1,000 employees. We are proud to be one of the fastest-growing SaaS companies, trusted by thousands of organizations ranging from startups to Fortune 100 companies with their most vital workloads. Our engineering teams develop highly technical products that address significant global needs. We continually push the limits of data and AI technology, while ensuring the resilience, security, and scalability essential for our customers' success on our platform. We operate one of the largest-scale software platforms, comprised of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. Given our scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is engineered to seamlessly shield customers from these issues. As a backend-focused software engineer, you will collaborate closely with your team and product management to prioritize, design, implement, test, and operate micro-services for the Databricks platform and products. This role involves writing software in Scala/Java, building data pipelines (Apache Spark™, Apache Kafka), integrating with third-party applications, and engaging with cloud APIs (AWS, Azure, CloudFormation, Terraform). Join one of our dynamic teams, such as: Data Science and Machine Learning Infrastructure: Develop services and infrastructure at the nexus of machine learning and distributed systems. Our technology powers the flagship collaborative workspace, notebooks, IDE integrations, and project management tools. We facilitate machine learning at scale with tools for environment management, distributed training, and managing the machine learning lifecycle through MLflow. Compute Fabric: Create the resource management infrastructure that supports all big data and machine learning workloads on the Databricks platform in a robust, flexible, and secure manner.

About the RoleJoin our innovative Cluster Orchestration team at CoreWeave, where you will significantly contribute to the enhancement of our orchestration platform, including SUNK (Slurm on Kubernetes) and more. This is a unique opportunity to influence a vital component of the AI cloud ecosystem, ensuring seamless, reliable, and efficient operations across extensive GPU clusters. By creating systems that alleviate infrastructure constraints and introduce novel orchestration functionalities, you will empower our clients to accelerate their AI innovations and redefine possibilities.Your ResponsibilitiesIn your role as a Staff Engineer, you will lead the technical vision for CoreWeave’s orchestration platform. You will set architectural guidelines, oversee critical orchestration components and managed services, and spearhead cross-organizational initiatives in scheduling, quota management, and large-scale scaling. Additionally, you will provide mentorship to senior engineers, establish best practices for reliability and observability, and ensure the evolution of CoreWeave’s orchestration layer aligns with the requirements of next-generation AI workloads.Who You Are8+ years of software engineering experience.Demonstrated success in designing and managing large-scale distributed systems in production environments.In-depth knowledge of Slurm/Kubernetes internals and cloud-native development.Advanced skills in Go and distributed systems architecture.Proven ability to mentor teams and promote best practices across the organization.

P-939 (Position Location is open to both our Seattle & Bellevue offices.) At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems — from realizing the next mode of transportation to accelerating the advancement of medical breakthroughs. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their operations. Founded by engineers with a customer-centric approach, we seize every opportunity to address technical challenges, from creating next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we’re just getting started. The impact you will make: As a Backend Software Engineer, you will collaborate with your team to construct infrastructure and products for the Databricks platform at scale. Our backend teams encompass various domains, including OS/container systems, serverless infrastructure, partner integration, and machine learning infrastructure. Below are some example projects you might work on: Serverless platform: Develop the Databricks serverless platform that supports big data, machine learning, and Generative AI workloads. Automatically enhance the performance and efficiency of workloads running on the platform while ensuring scalability to millions of machines across a multi-cloud environment. Core cloud platform: Create innovative OS, container, and networking technologies that underpin the entire Databricks infrastructure, from internal systems to serverful and serverless platforms. Enhance security, efficiency, and reliability across the fleet. Partner ecosystem: Build and expand a partner ecosystem for Databricks SQL. Develop and provide various toolkits to support deep and seamless integrations for partners and customers with Databricks. Cultivate and maintain productive partnerships within the ecosystem. Notebook dataplane: Develop a multi-language, multi-user collaborative REPL experience for Databricks users, with a strong emphasis on reliability and responsiveness, particularly focusing on Data Science and AI/ML authoring and experimentation in notebooks. Application platform: Create tools, frameworks, and platforms that enable Databricks engineers to build, deploy, and operate services efficiently. Enhance the scale, observability, and safety of all Databricks services across various clouds while improving each engineer's developer experience.

Role overview The Software Development Engineer II position at ispottv centers on creating and refining software features that enhance product quality and user satisfaction. Based in Bellevue, WA, this role involves regular collaboration with teams throughout the company to ensure smooth delivery and continuous improvement. What you will do Design and build software solutions for ispottv’s suite of products Partner with colleagues across departments to implement new features, deliver enhancements, and address technical challenges Help maintain a reliable and seamless experience for end users Requirements Strong grasp of core software engineering principles Previous experience with agile development methods Genuine interest in technology and a commitment to building high-quality products

Discover OktaAt Okta, we are the leading identity company, empowering individuals to securely access any technology, anywhere, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, ensure secure access, authentication, and automation while placing identity at the heart of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners and individuals who can contribute to our mission with their unique insights. Join us in creating a world where identity is truly yours.We are currently seeking an experienced Staff Software Engineer to join our Auth0 Security Engineering team. In this role, you will design and implement security guardrails for our multi-cloud environment, translating intricate security and compliance standards into programmatic, code-driven policies.

About the CompanyArmada is an innovative edge computing startup dedicated to delivering computing infrastructure to remote areas where connectivity is scarce. We aim to facilitate data processing locally for real-time analytics and AI at the edge. Our mission is to bridge the digital divide through advanced technology infrastructures that can be rapidly deployed anywhere. About the RoleAt Armada, we harness the vast potential of AI to revolutionize operations and enhance lives in some of the world's most remote locations. From the expansive Australian mines to the oil fields of Northern Canada and the coffee plantations of Colombia, we present a unique opportunity for AI Engineers to engage with exciting AI and ML challenges on a global scale. We are seeking passionate AI Engineers with hands-on experience in areas such as real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems.The ideal candidates will have robust skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for developing ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Proficiency in containerization, microservices architecture, and the capability to independently deploy ML models into production is essential.If you are a self-motivated individual with a passion for cutting-edge AI, we want to connect with you. Armada provides an unparalleled opportunity to face some of the most thrilling AI and ML challenges globally. Join our dynamic AI Engineering team as we deliver groundbreaking edge-compute systems capable of autonomous learning, prediction, and adaptation using extensive, real-time datasets.We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to interact seamlessly and securely with the complexities of the real world. In doing so, we aim to bridge the digital divide.Location: This role is office-based at our Bellevue, Washington office.

Join Visa Inc. as a Senior Software Engineer and take the opportunity to enhance your skills in a dynamic and innovative environment. You will be responsible for designing, developing, and maintaining high-quality software solutions that meet the needs of our customers. This role requires a deep understanding of software engineering practices and a passion for technology.

Join Visa Inc. as a Senior Software Engineer Consultant, where you will leverage your technical expertise to develop innovative software solutions. In this role, you will collaborate with cross-functional teams to enhance our digital products and services, ensuring scalability and performance. Your problem-solving skills will be key in driving successful project outcomes and promoting best practices in software development.

*Statsig is currently not hiring for this role, but we are anticipating future needs and are welcoming applications in the interim.*About StatsigStatsig is at the forefront of transforming software development, testing, and scaling. Leading organizations, including OpenAI, Microsoft, and Notion, depend on Statsig to fuel their growth through data-driven product strategies. With backing from Sequoia Capital and Madrona Venture Group, we are rapidly expanding and redefining the landscape of experimentation.The Engineering TeamOur engineering team at Statsig is dedicated to creating robust infrastructure and innovative products that enable companies to push boundaries. We champion simplicity, efficiency, and high performance, all while nurturing a collaborative environment that prioritizes impactful solutions.Your RoleAs a Senior Software Engineer, you will lead pivotal projects, take ownership of essential components, and boost system performance. Your contributions will be vital in delivering high-caliber solutions with minimal supervision, mentoring peers, and refining development practices.Key ResponsibilitiesFeature Ownership & Development: Spearhead the development of core features and systems, emphasizing reliability and scalability.Deliver High-Impact Solutions: Efficiently ship high-quality projects while ensuring deadlines are met.Complex Problem Solving: Proactively identify and address technical challenges.Process Enhancement: Advocate for best practices and improve development workflows.Team Collaboration & Mentorship: Lead small teams, cultivate cross-functional relationships, and guide junior engineers.Contribute to Engineering Culture: Engage in initiatives related to recruiting, onboarding, and diversity to strengthen the team.Who You AreYou thrive in dynamic, fast-paced environments and excel at overcoming technical challenges. You prioritize efficiency, simplicity, and development driven by impact.Qualifications4+ years of professional software engineering experience with demonstrated technical leadership.Proficiency in various coding languages, including Node.js, Rust, React, or Python, or a willingness to learn.A strong understanding of scalable system design and performance optimization.

Join Our Innovative Team as a Software Engineer II!The Trade Desk, Inc. is seeking a passionate and talented Software Engineer II to be a vital part of our software development team in Bellevue, WA. You will be responsible for designing, developing, and maintaining software throughout its lifecycle, from initial concept to production deployment.Key Responsibilities:Design and develop high-quality software solutions, ensuring adherence to best practices and performance standards.Drive complex projects that involve multiple components and require innovative solutions.Implement automated tests, monitoring, and metrics to ensure software reliability and quality.Collaborate with product teams to refine and enhance product features, aligning them with the product roadmap.Utilize user data and market insights to create effective execution plans for software development.Lead projects characterized by technical ambiguity, introducing significant new capabilities and establishing new development patterns.Own and provide technical guidance in one or more system components or functional areas.Work in a dynamic distributed system environment and be an integral part of our technology-driven future.

As a Lead Software Development Engineer at ispottv, you will spearhead innovative software solutions that shape the future of our platform. You will collaborate with cross-functional teams to design, develop, and implement robust software applications. Your leadership will guide junior developers while ensuring the highest standards of quality and performance in our products.

At Databricks, we are passionate about leveraging Data and AI to tackle some of the world's most pressing challenges, ranging from security threat detection to advancing cancer treatment. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our customers to concentrate on the high-impact issues that are critical to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has evolved from a modest office in Berkeley, CA to a thriving global company with over 6,500 employees. Thousands of organizations, from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS firms globally. The Money team's mission at Databricks is to optimize the value that our customers gain from their data investments. We accomplish this with innovative commercialization strategies and state-of-the-art engineering. Our team guarantees timely, precise, and customizable billing along with tools for budgeting, forecasting, and cost optimization. We deliver a seamless billing experience for all our customers, regardless of whether they are large enterprises or individual developers, across various pricing plans and cloud providers (AWS, GCP, and Azure). As a Senior Software Engineer on the Money team, you will play a pivotal role in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions will be essential in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization specialists, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, providing our customers with a cohesive 'sky computation' experience. This role will leverage the latest Databricks products and tools within our ecosystem. Key Responsibilities: Design and oversee Money systems and services, commercializing all Databricks products and offerings. Develop innovative mechanisms that facilitate and support diverse pricing strategies, including Pay-As-You-Go, commissions, credits, trials, and promotions. Improve engineering and infrastructure efficiency, reliability, accuracy, and response times, covering CI/CD processes, testing frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Collaborate with commercialization experts to devise and implement innovative pricing strategies and plans. Utilize AI and LLMs to drive innovation in cost insights, forecasting, and optimization across various cloud providers. Become proficient in utilizing Databricks Data + AI tools.