Senior Java Bpmn Development Engineer 3 Jobs

Senior Staff Software Engineer About Druva: Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . About Role: This role will be with Cloud Apps Org in Hyderabad, responsible for building key SaaS and Identity workloads. This team is responsible for providing architectural components for supporting core operations of multiple SaaSApps workloads. As a Senior Staff Software Engineer in the platform team, you will be responsible for the design and implementation of software modules owned by a team. Your primary focus will be on the development of all backend server-side components and ensuring high performance and responsiveness from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high-quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills 6 – 9 years of experience, preferably in a product company. Extensive hands-on experience in Go/Python/C/C++/Java or any other Object-Oriented Language Excellent programming skills along with Data structures, Algorithms, Design Concepts Strong experience in working with SoA (Service

Senior Missions Systems Software Engineers – Embedded Company: The Boeing Company The Boeing Company is looking for Senior Missions Systems Software Engineers – Embedded to join the Boeing’s Mission Systems Software team in Berkeley, Missouri. We are 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 Software Tactical Communications 3rd Party Software Integration Pilot Vehicle Interface Software Candidates will be matched with different teams/opportunities based on a combination of program need, background/experience, and career goals. In this role, teammates will contribute to all phases of the software development lifecycle (requirements, architecture, implementation, documentation, verification). The role will work within an Agile integrated product team working across software, analysis integration and test, sensors, and system test engineers. More senior level engineers will be

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

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Engineer will be responsible for delivering high-quality web applications, interactive dashboards, and backend integration services through collaboration with our engineering, data, product and DevOps teams in a fast-paced, agile environment. You will be instrumental in building modern user interfaces, integrating backend systems with complex data objects, and embedding AI capabilities into our application ecosystem. The position is on a software engineering team responsible for creating intuitive data visualizations, building resilient APIs, leveraging DevOps automation, and scaling modern application features across the enterprise. Required Qualifications 5&#43; years of professional full stack software development experience. 3&#43; years of experience with modern frontend frameworks (e.g., React, Angular, Vue) and data visualization libraries (e.g., D3.js, Chart.js, Recharts) to build interactive dashboards. 3&#43; years of experience with backend development (e.g., Node.js, Python, Java, C#) and API design (REST, GraphQL). <li styl

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

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 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

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions. Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads. As a Senior/Staff Software Engineer, you will: Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle. Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and o

Who we are: Sardine is the leading agentic risk platform for fighting financial crime. Our integrated solution unifies data across risk teams to help organizations stop fraud in real time, prevent AI-driven attacks, and automate fraud and AML operations. Sardine’s platform is strengthened by one of the fastest-growing fraud consortiums in the market, spanning more than 6 billion profiled devices, 800 million consumers, and 3 million businesses worldwide. Leading companies including FIS, GoDaddy, Intuit, Edward Jones, ZoomInfo, and Checkout.com rely on Sardine to secure and grow trust in their products. Our culture: We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. We're a remote-first team spread across time zones, so no office to report to - work from wherever helps you do your best work. Just a couple of things to keep in mind: pay is based on where you're located, and you'll need to keep a home base in the country you're hired in. So while we love the "coffee shop today, mountains tomorrow" life, this isn't a passport-optional, work-from-anywhere-on-Earth kind of remote - think flexible within your country, not borderless. Location: Remote - United States The role Sardine makes risk and payment decisions for banks and fintechs. Our customers audit us closely, and application security is a large part of what they examine. Money moves through this platform, so real adversaries study it. Your job is to find what they would find, especially authorization flaws and business logic abuse, and then make the whole class of bug go away. The application security team is small. The estate is large: Go, Node.js, Python, Ruby, and Java services running on multi-cloud and Kubernetes. That ratio shapes the wo

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. Senior Solution Engineer (Expansion Patch) As a Senior Solution Engineer, you will be a strategic technical leader for Snowflake’s existing enterprise customers in Singapore, with a primary focus on Financial Services (FSI) and Digital Native sectors. You will partner closely with Account Executives to drive adoption, workload expansion, and multi‑line-of-business growth across your accounts. You will act as a trusted advisor to senior technical and business stakeholders, guiding them on how to use Snowflake as the core of their data, analytics, and AI strategy. This is a field-facing, customer-first role that combines deep technical skills, strong industry context , and the ability to design and communicate high‑impact architectures. KEY RESPONSIBILITIES: Drive Adoption in Existing Accounts Own the technical expansion strategy for a portfolio of Snowflake customers in Singapore. Identify and map customer business objectives to workloads, use cases, and lines of business that will benefit from Snowflake AI Data Cloud. Solution Design, Demos & POCs Design and deliver compelling demos and technical narratives tailored to each customer’s architecture and use cases. Lead and execute POCs/Pilots that prove value and de‑risk platform decisions, including success criteria defi

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. We are hiring a Senior Software Engineer across our Identity, Data Security and Trust organization. These teams builds the security backbone of Snowflake — enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture. As the agentic era accelerates, these teams are at the forefront of building AI-native security capabilities that protect the world's data. AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Design and implement critical AI security capabilities — including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails — that form the foundation for secure agentic enterprise adoption Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption acro

Citi's Investor Services Technology group is seeking a strategic and technically accomplished Services Pricing Studio Technology Lead the design and delivery of a transformational pricing platform that powers how Citi prices, structures, and wins Investor Services mandates globally. The Pricing Studio will serve as the definitive tool for Sales, Product, and Finance teams — enabling dynamic fee modelling, scenario analysis, competitive benchmarking, and deal approval workflows. You will lead a focused engineering team and work in close partnership with Investor Services business leadership, Finance, and Data teams to build a platform that directly influences Citi's revenue growth and competitive positioning. This role demands a rare combination of pricing domain expertise, data engineering depth, AI driven engineering acceleration and the ability to translate complex commercial logic into elegant, scalable software. Responsibilities: Pricing Studio Platform Design and deliver the Pricing Studio as a unified, self-service platform for fee modelling, deal structuring, and pricing approval — supporting all Investor Services products including Fund Admin, Custody, and Securities Finance. Dynamic Pricing Engine Architect a configurable, rules-driven pricing engine capable of modelling complex fee structures, volume discounts, bundled pricing, and multi-product deal economics — with real-time scenario comparison and profitability analysis. Deal Approval Workflow Implement structured deal approval and governance workflows — integrating pricing decisions with Finance sign-off, risk thresholds, and regulatory guardrails to ensure every deal is commercially sound and compliant. Stakeholder Partnership Act as the primary technology partner for Sales, Product, Finance, and senior busi

The Continuous Profiler team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go and tackle novel problems, from profiling asynchronous Python applications to helping customers solve memory leaks in their applications . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, inter

Senior Site Reliability Engineer (SRE) / Managed Services Engineer Who We Are Horizon Trading Solutions is an independent global technology company focused on electronic trading, supporting agency and principal business goals across equities and derivatives. With over 20 years of experience, Horizon provides a powerful multi-asset trading platform with direct connectivity to more than 80 exchanges worldwide, enabling clients to deploy sophisticated trading strategies across global markets. As our Managed Services and SaaS activities continue to grow across APAC, we are looking for a Senior Site Reliability Engineer (SRE) to join our Hong Kong team and play a key role in delivering highly available, secure, and performant trading infrastructures for our clients. Role Overview The Senior SRE Engineer will be responsible for designing, deploying, operating, and continuously improving the infrastructure supporting Horizon's hosted and managed trading platforms. Working closely with Infrastructure, Development, Product, and Client Services teams, you will ensure the reliability, security, performance, and scalability of critical production environments deployed on premises, in colocation facilities, and in cloud environments. This is a hands-on engineering role suited to someone passionate about operational excellence, low-latency infrastructures, automation, and financial technology. Key Responsibilities Platform Reliability & Operations Ensure high availability and operational readiness of Horizon's managed trading platforms. Monitor, maintain, and optimize production environments through proactive health checks, performance tuning, upgrades, and preventive maintenance. Diagnose and resolve infrastructure, network, database, and application incidents to minimize service disruption and meet service level objectives. Respond proactively to infrastructure alerts and client issues, lead deep-dive root cause analyses, and drive continuous improvement initiatives to enha

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. At Toast, we are committed to empowering our customers by providing the technology, resources, and community they need to thrive. While our roots are in food service, we are rapidly expanding into adjacent markets and international territories. Our mission is to build a world-class Device Management platform that supports the diverse needs of all Toast customers, regardless of their industry or location. As a member of the Android Systems team, you will bridge the gap between hardware and software to build the foundational platform for Toast POS devices. Whether it’s an international team looking to deploy a new on-device application, a customer needing a critical firmware update, an Enterprise group needing multi-location device tooling - our systems empower customers to set up, secure, and manage their devices from wherever they are. Why this team? Expanding the Vision : We are expanding our Mobile Device Management ecosystem—unifying firmware, on-device apps, and security controls into one cohesive platform. Frictionless Device Management : We are transforming the customer’s device lifecycle experience from out-of-the-box setup to continuous remote management, leveraging AI to dramatically reduce operator’s time spent troubleshooting and configuring devices. About this roll* (Responsibilities): Own the design and delivery of features across Toast's Android system applications in Kotlin and Java, including device policy enforcement, out-of-box device setup, and firmware and app updates. Write technical designs for features that span on-device apps, cloud services, and Toast hardware, and lead effort estimation and planning for your projects. Build reliable background services that run on devices with little to no user interaction, and deploy them safely to the Toast fleet using fe