Java Backend Developer Jobs

Associate Missions Systems Software Engineer - Embedded Company: The Boeing Company The Boeing Company is looking for Associate Missions Systems Software Engineers – Embedded to join the Boeing’s Mission Systems Software team in Berkeley, Missouri. This role is looking to hire software engineers capable of working in a collaborative integrated product team environment helping to implement various features of safety critical and/or mission critical flight software. This role will provide engineers experience in all phases of the software development life-cycle from requirements decomposition, architecture definition, algorithm development, software development, testing including Hardware in the Loop, and documentation. The software engineers will develop software in a Continuous Integration / Continuous Deployment (CI/CD) software build pipeline using an agile methodology focused on code quality, security and automation. Key Capability areas of interest include: Sensor Fusion Mission Management Resource Management Fire Control and Weapons engagement Mission Processing Stores Management Tactical Communications 3rd Party Software Integration Development Security Operations (DevSecOps) Contribute to all phases of the software development lifecycle (requirements, architecture, implementation, documentation, verification) in one of the following capability areas (Fusion, Fire Control, Mission Management, Resource Management, Tactical Communications, Supplier Integration, DevSecOps) Work within an Agile integrated product team working across software, analysis integration and test, sensors, and system test engineers. Position Responsibilities: </b

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

Become a part of our caring community We are looking for a highly motivated Senior Technology Leadership professional to join our IT Operations team. You will support the Lead of the Application Operations Center and Enterprise Post Production Validation teams, with a focus on process automation, innovation, and continuous improvement. You will work with both onshore and offshore resources, ensuring in daily tasks, enhancing application support, and driving improvements in monitoring and validation processes. Main Responsibilities: Collaborate with the Lead to provide operational and strategic support for Application Operations Center and Post Production Validation teams. Identify, evaluate, and implement automation opportunities to increase efficiency and reduce manual workload. Drive process innovation by recommending and deploying advanced tools and methodologies for application operations and validation activities. Analyze existing workflows and develop documentation for standard operating procedures and best practices. Oversee daily application support and monitoring activities to ensure system stability, performance, and reliability. Partner with onshore and offshore teams to coordinate task execution and promote consistent adoption of new processes and technologies. Develop and maintain dashboards and reports to track key performance indicators and present findings to leadership. Ensure automation and process improvements comply with organizational standards and regulatory requirements. Facilitate knowledge sharing, training sessions, and change management activities to support team development and successful project implementation. Engage with stakeholders to gather requirements, understand challenges, and communicate progress on automation initiatives. Ability to create

Mission Systems Software Developer (Experienced & Senior) Company: The Boeing Company The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida . BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company’s newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: https://f.io/L64OLWgM . Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform’s dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look a

NVIDIA’s Networking unit is looking for a creative and independent Test Engineer to join our Post-Silicon Validation organization. You will play a pivotal role in bringing cutting-edge networking products (Switches, NICs, SmartNICs) from early design to production readiness. In this role, you will take full ownership of a product from its definition phase, working closely with Design and Architecture teams. You will define and execute Pre-Silicon validation plans using advanced emulation platforms such as Palladium and VTPsim. Post-silicon, you will be responsible for planning and managing bring-up, validation and product stabilization, leading the product towards Bring up and up to P-Rel stage. What you’ll be doing: Own the product lifecycle from definition to pre-launch. Collaborate with Architecture, Design and Verification teams to define product validation strategies. Execute Pre-Silicon tests using emulation tools (Palladium, VTPsim). Define post-silicon validation plans and lead execution. Write Test program code including new infrastructures and methodologies. Drive product bring-up and stabilization toward Prel and production readiness. Develop automated infrastructure to support program execution. Coordinate cross-functional activities with DFT, Production, and Software teams. What we need to see: B.Sc. in Electrical Engineering or related field. 2&#43; years of experience in test or validation engineering, preferably in Post-Silicon. Hands-on coding experience (Java, VBA, Python, C/C&#43;&#43;, or similar). Strong ownership, execution and problem-solving skills. Excellent communication and collaboration abilities. Ways to stand out from the crowd: Familiarity with pre-silicon emulation platforms – advantage. Experience with SMT8/UltraFlex – advantage. </

Software Engineer Developer – Millennium Space Systems Company: Millennium Space Systems Millennium Space Systems, a part of Boeing Defense, Space and Security (BDS), is a fast, agile small satellite company focused on national security space. Our missions have direct impact to global security, like missile warning and Earth observation. Our team is curious, bold and innovative. We take risks, innovate and explore new techniques and technologies. We influence change because we challenge the status quo. And when we watch our satellites launch, we know each one of us made it happen. Job Summary: As a Software Engineer Developer, you will help build and administer projects and elements within JIRA and work with Millennium’s information technology department to maintain the health of JIRA and coordinate maintenance and upgrades when necessary. Millennium uses Atlassian JIRA and other Atlassian products as a program management tool in addition to aiding in software development. You will also be the main point of contact for any usage questions or training needed for Millennium’s users. This is an onsite role at our office in El Segundo, CA. This position's internal job code is Software Engineer Developer. Our team is currently hiring for a level 4. Position Responsibilities: Build and maintain projects, workflows, issues, permissions and more in JIRA to support Millennium program and team requirements Monitor the health of Millennium’s JIRA servers and other Atlassian tools and ensure minimal downtime and maximum data availability Plan and build multiple JIRA environments for development and testing in addition to production and performing data migrations as necessary Assist us

QRL (Quant Risk Libraries) implements risk models to ensure that the bank’s lending portfolios have adequate capital during crisis. We use mathematical modeling and the latest technologies to build loss forecasting and stress testing pipelines. Our systems are responsible for calculating risk on some of the largest portfolios in Citi. We are a diverse group of professionals with backgrounds in Physics, Engineering and Computer Science. You will work alongside experienced colleagues to further develop your analytical and quantitative skills. You will build skills in building products from the ground up for solving real life problems and develop a career as a risk model expert. You will be responsible for: Designing and implement a framework for model driven computations on a graph Designing and building infrastructure APIs for grid computing, data storage and access Unit testing, reliability and improving the quality of our compute pipelines Learn about Python, its ecosystem, community and best practices Ideas on improving our model and data platform and help implement them You will need: Bachelors or Masters in Computer Science/Computer Engineering or related field Strong grasp of computing fundamentals: data structures, algorithms, OS, programming languages. Fluency in Python and working knowledge of a compiled language like C/C&#43;&#43;/Java Exposure to Numerical libraries (Pandas/Numpy) and data proces

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. What You'll Do Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Desig

#Team Nextdoor Nextdoor is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors Search is where a neighbor tells us exactly what they need, and right now we aren't listening well enough. Someone types in a lost dog, a neighbor's name, last week's school thread, or occasionally a plumber, and too often the experience leaves them guessing. After years of under-investment, we're rebuilding Search from the ground up with executive backing and real resources, and you'll be the designer who shapes how it looks, feels, and behaves. You've designed search or discovery before and can show the results. You think of search as a conversation rather than a list of links: what happens as someone starts typing, how very different kinds of results (posts, people, places, businesses) sit side by side, how a neighbor narrows things down, and what we say when we come up empty. You're also comfortable around revenue. You've worked beside ads and monetization teams and can design paid placements that feel like help instead of interruption. This is a long-haul effort, and you'll have a PM, data scientists, ML engineers, and researchers working alongside you. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experi

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Build, scale, and optimize core low-latency trading platforms. Architect AWS and hybrid cloud infrastructure for microsecond execution using kernel tuning (isolcpus), AWS Placement Groups, and enhanced networking (ENA/ENI). Design and maintain release pipelines for core trading engines (OMS, EMS, Gateways), ensuring zero-downtime deployments and deterministic rollbacks. Collaborate across teams to enhance platform reliability, performance, scalability, and security. Provision high-throughput messaging paths (Aeron, FIX gateways) to support venue expansions for market making and regional growth. Drive infrastructure automation, network topology design, and OS configurations using Terraform and Ansible. Build real-time telemetry pipelines using Grafana Cloud, Alloy, and Prometheus to detect latency spikes and system issues. Drive continuous platform efficiency, reduce tick-to-trade latency, and accelerate deployment cycles. Practice sustainable incident response, reduce MTTR, establish error budgets, and conduct blameless postmortems. Share on-call rotation duties and serve as a primary escalation point for production incidents. Enforce security best practices across all trading infrastructure to minimize attack surfaces and guarantee data integrity. Min

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About Snowflake Snowflake is building the AI Data Cloud, enabling organizations around the world to mobilize data and develop applications at global scale. The Engineering Systems organization builds the tools, infrastructure, and platforms that help Snowflake engineers develop, test, and deliver high-quality software efficiently. The Continuous Integration team is responsible for the systems that power builds, tests, validation, and developer workflows across Snowflake's engineering organization. As a Software Engineer on this team, you will help build reliable, scalable CI services that support thousands of engineers and a rapidly growing multi-cloud codebase. Responsibilities Design, develop, test, and operate distributed systems that power Snowflake's continuous integration platform. Build services and tooling that improve build reliability, test execution, developer productivity, and software delivery velocity. Contribute to the architecture and implementation of scalable CI infrastructure across cloud environments. Develop reliable APIs, services, and automation using languages such as Java, C++, Python, or Go. Investigate and resolve issues involving build failures, test infrastructure, performance, reliability, and developer workflows. Partner with engineers across

FEQ128R6 At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout France, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build in

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role The Applied AI team works embedded with Addepar's strategic clients to figure out where AI can change how they work and then build those capabilities from scratch. You'll spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration. You'll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice. You'll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast. The team is new. Your work shapes what we ship. This role may require occasional work outside standard business hours to accommodate client time zones and up to 15% travel to client sites, including occasional overnight and multi-day engagements. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What Yo