Senior Software Engineer Consultant

Role overview Speechify seeks a Senior Software Engineer in Bellevue, WA to focus on Windows and desktop applications. The work centers on building and improving software that shapes how people read and interact with Speechify’s products. What you will do Design, develop, and refine desktop applications for Windows Collaborate with engineers, designers, and product managers to deliver user-focused features Create solutions that support a broad audience of users Uphold strong standards for software quality and usability Location This is an onsite role based in Bellevue, WA, USA.

Role overview The Senior Application Engineer at Veolia Environnement S.A. in Bellevue will design and implement solutions that enhance the company's service offerings. This position requires regular collaboration with teams from different departments to understand customer needs, create specialized applications, and ensure new solutions work well with existing systems. What you will do Collaborate with colleagues from various teams to analyze and define customer requirements Develop and implement applications that address specific business needs Integrate new applications with current systems to maintain seamless operations Use technical skills to improve project efficiency and help support customer satisfaction

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.

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.

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.

*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.

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.

The Trade Desk is a leading global technology firm dedicated to crafting a more open and equitable internet for all through principled and intelligent advertising solutions. Our platform processes over 1 trillion queries daily, showcasing our ability to operate at an unparalleled scale. We pride ourselves on an award-winning culture grounded in trust, ownership, empathy, and teamwork. We recognize and celebrate the distinct experiences and viewpoints each individual contributes to The Trade Desk, and we are devoted to creating inclusive environments where everyone can be their authentic selves.Are you passionate about tackling complex challenges on a grand scale? Do you aspire to be part of a vibrant, interconnected team where your input will play a crucial role in enhancing the media ecosystem? Discover why Fortune magazine consistently ranks The Trade Desk among the best small to medium-sized workplaces worldwide.As an integral part of our team, you will take ownership of the complete product lifecycle, from conceptualizing and designing to building and delivering solutions for our clients. You’ll collaborate with various mission-driven teams addressing a broad range of technological issues, such as developing large-scale distributed systems that manage thousands of servers across cloud and physical data centers globally, addressing petabyte-scale data challenges, leveraging machine learning, and creating advanced visualizations and interactive user interfaces.

Join Robinhood as a Senior Software Engineer for our Storage Platform team, where you will play a pivotal role in building scalable and efficient storage solutions. You will collaborate with cross-functional teams to design and implement systems that enhance our ability to serve our users effectively. This position offers a unique opportunity to influence the architecture and evolution of our storage technologies.

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.

About the CompanyArmada is a pioneering edge computing startup dedicated to delivering cutting-edge computing infrastructure to remote areas with limited connectivity and cloud resources. Our mission is to enable real-time analytics and AI processing at the edge, bridging the digital divide with rapidly deployable technology solutions. Join us in our quest to transform technology access in underserved regions. About the RoleWe are looking for a talented Senior Software Engineer to become part of our Edge organization. This role is ideal for an engineer who thrives at the intersection of software development, networking, and platform infrastructure. You will be responsible for architecting and developing the core services that drive the Armada Edge Platform, creating an integration fabric that unifies a hybrid fleet of Azure Local, OpenShift, and Kubernetes clusters.

(P-1286) At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues, from turning innovative transportation concepts into reality to speeding up medical advancements. Our mission is driven by the development and operation of the finest data and AI infrastructure platform, allowing our clients to harness deep data insights to enhance their operations. The Networking Infrastructure forms a crucial component of our platform, supporting all our data and AI offerings. It also facilitates essential enterprise security features that our customers rely on to create connectivity solutions for cloud resources and safeguard against data breaches. We are looking for highly skilled Senior Software Engineers with extensive experience in large-scale distributed systems to join our Networking Infrastructure team. In this role, you will architect and automate the networking architecture for vast compute clusters across all major cloud platforms, linking millions of VMs operating on Databricks. You will spearhead the design and implementation of secure and scalable connectivity solutions that underpin all data and AI workloads. Collaborating closely with cross-functional teams, including product management, operations, and other engineering groups, you will ensure the successful delivery of robust, scalable, and efficient networking systems. This position is perfect for a proactive leader who flourishes in a dynamic environment and is motivated to address innovative multicloud and distributed systems challenges.

*Statsig is currently not hiring for this position but is eager to build a pipeline for future roles in the coming year. We welcome applications now!About StatsigStatsig is dedicated to transforming the software development landscape, enhancing how applications are constructed, tested, and scaled.Renowned companies such as OpenAI, Microsoft, Atlassian, Notion, Bloomberg, Brex, Vercel, and Rippling trust Statsig for insightful analytics and innovative growth strategies. We don't just provide analytics and experimentation tools; we are pioneering a new standard for product development, fostering a data-driven culture across organizations.ResponsibilitiesAs a Senior Security Engineer at Statsig, you will be integral in fortifying our systems and executing robust security protocols. Your engineering prowess combined with security expertise will be pivotal in enhancing Statsig’s security framework.Design, implement, and refine software architectures to mitigate security risks.Lead key initiatives aimed at bolstering security operations through the development of clean, high-quality, and efficient code.Create and sustain software solutions, including applications, database integrations, and new feature enhancements.Assist in testing and deploying new products and features.Engage in collaborative code reviews, upholding high standards of quality and best practices.Adopt a generalist approach to security controls, blending varied technical skills and security knowledge to address dynamic challenges.Participate in hands-on engineering and cross-functional collaboration to ensure alignment with business objectives and compliance standards (SOC2, ISO27001, FEDRAMP, etc.).Candidate ProfileYou excel in a dynamic, high-growth setting and are motivated to contribute to impactful projects that require scalability. You thrive in collaborative environments, particularly with large-scale applications and frameworks.Bachelor's degree in Computer Science, Cybersecurity, or a related discipline preferred.Over 5 years of experience in Software Engineering, Security Engineering, or a closely related field.Deep understanding of security principles, best practices, and common vulnerabilities.

About the CompanyArmada is an innovative edge computing startup dedicated to providing cutting-edge computing infrastructure in remote regions where connectivity and cloud services are scarce. Our mission is to bridge the digital divide by deploying advanced technology infrastructure that enables real-time analytics and AI capabilities at the edge. We are seeking exceptionally talented individuals to join us in our journey to transform how data is processed and utilized globally. About the RoleAs a Senior Software Engineer specializing in the open-source ecosystem, you will play a pivotal role in designing, developing, and maintaining applications and services that operate on container runtimes such as Docker. You will collaborate closely with our DevOps and Infrastructure teams to ensure efficient, scalable, and robust deployment processes. Your work will focus on delivering high-performance networking solutions tailored for software-defined networks, telecommunications, and IoT applications.Location: This position is office-based at our Bellevue, Washington office.Key ResponsibilitiesDevelop and maintain microservices and applications using Golang.Create features for dynamic network management, including auto-failover, load balancing, and path selection based on real-time network conditions.Implement monitoring and alerting systems to guarantee high availability and performance for deployed SD-WAN services.Design and build scalable APIs and services that facilitate network automation, policy enforcement, and optimized traffic routing.Work collaboratively with cross-functional teams to define, design, and deliver new features.Debug and resolve issues within Kubernetes clusters and applications.Adopt best practices for CI/CD pipelines, monitoring, and logging.Write comprehensive tests to ensure code reliability and stability.Stay informed on the latest industry trends and technologies in software-defined networks, Kubernetes, and cloud-native development.

Join Robinhood as a Senior Software Engineer focused on our cutting-edge streaming platform. In this role, you will develop and maintain scalable and high-performance applications that enhance user experience and engagement. Collaborate with cross-functional teams to design and implement innovative solutions that streamline streaming functionalities and improve the overall performance of our platform.

RDQ127R9 At Databricks, we are dedicated to leveraging Data and AI to tackle some of the world’s most complex challenges, ranging from security threat detection to advancing cancer drug research. Our mission revolves around creating and maintaining the premier data and AI infrastructure platform, empowering our clients to concentrate on high-impact tasks central to their objectives. Founded in 2013 by the original architects of Apache Spark™, Databricks has transformed from a modest office in Berkeley, CA into a global powerhouse with over 6,500 employees. We serve thousands of organizations, from startups to Fortune 100 companies, who rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies globally. The Money team at Databricks is committed to optimizing the value our clients receive from their data investments. We achieve this through innovative commercialization strategies and state-of-the-art engineering. Our team guarantees timely, precise, and personalized billing and usage data, alongside tools for budgeting, forecasting, and cost optimization. We facilitate a seamless and consistent billing experience for all customers, whether they are large enterprises or individual developers, across various pricing models and cloud platforms (AWS, GCP & Azure). As a Senior Staff Software Engineer on the Money team, you will play a pivotal role in overseeing the entire billing process, which includes usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and budgeting. Your contributions are vital in democratizing data and bringing Databricks products to the market. You will collaborate closely with marketing, product teams, commercialization specialists, data scientists, IT, and customer support to standardize billing experiences across major cloud providers, delivering a unified "sky computation" experience. This position will involve utilizing the latest Databricks products and tools within the ecosystem. Your Impact: Architect and manage the Money systems and services that commercialize all Databricks products and offerings. Create innovative primitives that enable 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, encompassing CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. Partner with commercialization experts to craft and implement innovative pricing strategies and plans. Leverage AI and LLMs to drive innovation in cost insights, predictions, and optimization across multiple cloud providers.

Join our innovative team at The Trade Desk as a Senior Software Engineer specializing in Data & Distributed Systems. In this pivotal role, you will leverage your expertise to design, develop, and optimize our data processing architecture, ensuring high availability and scalability. Collaborate with cross-functional teams to implement cutting-edge solutions that enhance our product offerings and improve user experience.

Role overview Speechify is looking for a Senior Software Engineer to focus on core user experiences. This full-time position is based in Bellevue, WA. The main goal is to design and build software that boosts user engagement and satisfaction across Speechify’s products. What you will do Collaborate with a talented team to develop and improve software solutions for a growing user base Lead projects through planning, execution, and delivery Mentor junior engineers and contribute to their professional development Encourage and uphold strong engineering practices within the team What we value Creative approaches to solving technical challenges Genuine interest in technology and continuous product improvement Motivation to make a real difference for users

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.