Applications Support Senior Analyst Assistant Vice President Jobs

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 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: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java, Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 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: Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Write in Go, Java Rust or C++, amongst other languages Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components Own meaningful parts of our service, have an impact, grow with the company Who You Are: 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) You have been exposed to working on problems (high durability / low latency /…) You can get down to the low-level when needed You care about simple designs and performance You want to work in a fast, high-growth startup environment that respects its engineers and customers You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government. Datadog values peo

Modernize business-critical Java platforms and help shape the next generation of financial markets technology. The Role Capco is looking for a Java Developer to join a major technology modernization initiative focused on upgrading business-critical legacy applications and their supporting technology. This is a hands-on back-end engineering role for someone with deep Java experience who enjoys solving the challenges that come with modernizing established platforms. You’ll help refactor and migrate legacy Java 6/8, JBoss and Struts applications towards modern Java frameworks and deployment environments, including JDK 17, Spring Boot, OpenShift, Kubernetes and AWS. You’ll work across the full development lifecycle, helping ensure applications remain secure, reliable and fully functional throughout the modernization journey. What You’ll Do Modernize and refactor legacy Java 6/8, JBoss and Struts applications, supporting migration to JDK 17, Spring Boot and newer JBoss EAP environments. Design, develop and enhance Java back-end services while contributing to TypeScript components and modern microservices-based architectures. Containerize and deploy applications using Docker, OpenShift and Kubernetes, with deployment into AWS environments including ECS/EKS. Integrate applications with enterprise authentication and SSO solutions such as Okta, including implementations using Spring SAML. Deliver across the Agile software development lifecycle, from technical design and development through testing, CI/CD, deployment and production release. What We’re Looking For 5-6 years of Java development experience with extensive back-end expertise across Java/J2EE, including Core Java, multi-threading, Collections, JDBC, Maven and Ant. Demonstrated experience upgrading and refactoring legacy Java applications, particularly Java 6/8, JBoss and Struts environments, with experience of Spring Boot and modern Java/JDK versions. Hands-on experience with TypeScript and cont

Summary Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that creates custom SaaS applications and other software-based solutions for the payments, banking, and processing industry. Founded in 1999, Aperia offers business intelligence, risk management, compliance, and customer intelligence platforms. With offices in Dallas, Washington DC, and Vietnam, Aperia is a fast-paced, global organization that strives to improve efficiency in compliance, risk, and customer service operations. Aperia’s clients include banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government entities. A career at Aperia promises a great challenge, culture, and opportunities to forge your own path. Job Description The Senior Project Manager is responsible for planning, tracking, and managing enterprise projects for a key client is the payments space. Responsibilities Organize and facilitate project planning, host and attend daily stand-up meetings, participate in sprint reviews, lead and play an active role in lessons-learned and retrospectives, active participation and evaluation of sprint and release planning towards delivery of a cohesive project schedule, participate in demos and other Scrum-related meetings Conduct routine planning sessions with the Scrum Master, Client Engagement Manger, and Product Owner for alignment on project plan and roadmap Evaluate sprint/release progress as relative to the project plan Ensure the development teams are practicing the core agile principles of collaboration, prioritization, team accountability and visibility Leads Projects assigned with ability to properly initiate, plan, execute, control and close work to meet outlined success criteria. Produces Project Plans, Estimates, and Deliverables consistent with Software Development Life Cycle (SDLC) methodologies. Monitor and r

ABOUT THE PRODUCT MANAGER ROLE: WIN is looking for Technical Product Managers to join our growing team in India. You will work at the intersection of AI, operations, data, and customer experience to build scalable, high-impact products across internal and customer-facing platforms. This is not a Scrum Master or delivery coordination role. This role requires a strong product mindset - someone who can identify opportunities before the market does, translate ambiguity into structured systems, and build products that fundamentally change how people work. You will work across AI-powered workflows, inspection operations, data intelligence, and platform thinking to create products that drive real business outcomes and long-term value. KEY RESPONSIBILITIES: ● Define and drive product strategy for internal and customer-facing platforms ● Identify product opportunities across AI, automation, analytics, and workflow optimization ● Translate complex and ambiguous business problems into structured product solutions ● Collaborate with engineering, design, operations, and leadership to shape product roadmap ● Build scalable product systems and frameworks instead of one-off feature solutions ● Prioritize initiatives based on impact, adoption, and business outcomes ● Leverage data, user research, and experimentation to deeply understand user behaviour ● Drive execution with clarity and ownership without acting as a project coordinator ● Focus on long-term product value including adoption, retention, efficiency, and ecosystem growth REQUIRED QUALIFICATIONS: ● 6+ years of experience in Product Management or Product Ownership in a product-driven company ● Strong understanding of APIs, system integrations, and platform architecture fundamentals ● Familiarity with AI/LLM workflows and their practical applications in products ● Experience with product analytics, experimentation, and data-driven decision making ● Understanding of SaaS product models and workflo

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Our engineering team thrives on challenging the norm and drawing from diverse technical backgrounds to build some of the industry’s most reliable, intuitive systems. We are forming a dedicated AI Applications team focused on building systems, tools, and processes that elevate the developer experience and accelerate innovation. We are seeking an experienced Senior Platform Engineer to lead the "Inner Loop" of AI development. In this role, you will bridge high-velocity AI experimentation and enterprise-grade production infrastructure ensuring LLM applications, RAG pipelines, and agentic workflows are built, tested, and deployed with high reliability and efficiency. WHAT YOU’LL DO Deliver Platform Self-Service: Design internal APIs and abstractions allowing engineers to provision AI-ready environments complete with model weights, vector databases, and event streams via single-command automation. Build Agentic & Go-Based Automation: Develop robust, type-safe internal tooling and AI agents in Go and Python to automate root-cause analysis, disaster recovery, and proactive infrastructure optimization. Scale Event-Driven AI Pipelines: Architect asynchronous processing systems using Kafka and RabbitMQ to trigger dynamic infrastructure scaling and handle high-volume data streams like long-running document ingestion. Ensure Reproducible Deployments: Maintain "Golden Path" deployment standards using Docker and Kubernetes

We are seeking a talented, detail-oriented Full Stack Software Engineer Analyst to design, build, test, and maintain mission-critical, customer-facing web and mobile applications. In this role, you will be instrumental in delivering scalable, resilient microservices architectures powered by Java Spring Boot, coupled with dynamic, responsive user experiences built with modern front-end frameworks (Angular or React). Quality engineering and security are central to our development lifecycle. In addition to core feature engineering, you will actively participate in end-to-end quality assurance by creating automated test suites, developing robust test scripts, and performing hands-on functional and regression testing. If you are passionate about building secure, reliable customer experiences and thrive in a collaborative, positive-sum engineering team, we encourage you to apply. Responsibilities: 1. Application Design & Full Stack Engineering Architect, implement, and maintain responsive, high-performance customer-facing web and mobile applications. Develop clean, modular, and reusable front-end components using Angular or React along with modern CSS/HTML frameworks. Build resilient, scalable, and loosely-coupled backend services using Java and SpringBoot microservices. Design, build, and maintain robust RESTful APIs, asynchronous event streams, and database integrations. 2. Quality Assurance & Test Automation Drive quality engineering by authoring and maintaining automated unit, integration, and end-to-end (E2E) test scripts. Develop comprehensive test automation frameworks using tools such as Selenium , Playwright , JUnit , Mockito , or Jest . Perform actual hand

The Staff Solutions Architect is a specialist level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Trade Latam Technology Team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: The role will be the responsible for implementing the TWCS (Trade working capital Loans) target state architecture across the Latam region Lead integration of functions to meet goals, deploy new products, and enhance processes Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects Develop application methodologies and standards for program analysis, design, coding, testing, debugging, and implementation Utilize advanced knowledge of supported main system flows and comprehensive knowledge of multiple areas to achieve technology goals Consult with end users to identify system function specifications and incorporate into overall system design Allocate work, and act as an advisor/coach developers, analysts, and new team members Influence and negotiate with senior leaders and communicate with external parties Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: <

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Full Stack Software Engineers to build Dots product experiences from the interface through the services that power them. You will help define how people delegate tasks to personal agents, follow their progress, and collaborate with them over time. This role combines hands-on product development with the systems work needed to make persistent, asynchronous agent experiences reliable. In this role, you will: Build and launch features across web interfaces, APIs, backend services, and data models. Create workflows for task creation, progress updates, agent feedback, and results that remain coherent across sessions and devices. Translate emerging model capabilities into product prototypes with research, product, and design partners. Design clear interfaces between product surfaces and agent execution systems. Improve performance and reliability across the stack, including user-facing latency and recovery from partial failures. Own projects from early exploration through architecture, implementation, launch, and iteration based on user feedback. Help establish technical direction, testing practices, and observability as the product grows. You might thrive in this role if you: Have significant experience building and shipping products across frontend and backend systems. Can move comfortably between user interfaces,

About the Team Dots is building personal AI agents that help people make progress on their goals, including when they are away from ChatGPT. These agents can learn preferences, maintain context, work across applications, and use cloud computers to carry out tasks. Our team brings together product engineering, design, and research to turn frontier model capabilities into useful everyday experiences. We are defining how people delegate work, understand what an agent is doing, and stay in control. Engineers help shape both the product and the systems behind it, from early prototypes through launch and iteration. About the Role We are looking for Senior and Staff Software Engineers to build the mobile web experience for Dots. You will create responsive, accessible interfaces that let people start work, follow progress, and guide their agents from a phone or browser. You will help establish interaction patterns for ongoing, asynchronous work and make sophisticated agent capabilities feel clear and approachable. In this role, you will: Design and ship mobile web experiences for creating tasks, reviewing agent activity, and providing feedback or direction. Build interfaces that handle streaming updates, long-running tasks, interrupted sessions, and changing connectivity. Improve responsiveness, loading performance, accessibility, and usability across screen sizes and browsers. Partner with design and product to prototype interaction patterns that give users visibility and control over agent actions. Work with backend and full stack engineers on APIs, client state, and reliable synchronization between the interface and agent services. Own features from exploration and technical design through launch, measurement, and refinement. Help set frontend architecture and engineering practices while staying hands-on with implementation. You might thrive in this role if you: Have substantial experience shipping polished web applications, with deep expertise in mobile web development

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for a Senior Security Engineer to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll fight against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform. Our team covers a broad range of trust and safety related topics including software engineering, data science, user engagement, privacy, threat detection, incident response, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas. You’ll join a growing security team at an ideal time for making a big impact. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity generated by AI agents. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Have a direct impact on customers and their overall trust of our platform. Drive the technical roadmap in colla

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Due to the nature of the projects and specific client security clearance, this role requires the successful candidate to be a Singapore Citizen or PR of Singapore. Job responsibilities You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives You wil

JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You will have access to: Career development with an international company where you can grow the career you dream of. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position is based at our Mississauga office within the Medical division and requires on‑site presence four days per week, with the option to work remotely one day. What You’ll Do Prepare robust regulatory applications to achieve departmental and organizational objectives. Create, review and approve engineering changes. Act as a team member providing review and analysis of applicable regulatory guidelines and project regulatory assessments as needed. Review and evaluate communications to ensure communications convey all necessary detail and adhere to applicable regulatory standards to various local affiliates. Maintain pertinent Canadian medical device regulations to ensure submission requirements are current, up-to-date and are entered into regulatory submission data base and file systems. Ensures that information of such regulations and

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C&#43;&#43; programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience Strong C/C&#43;&#43; or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5&#43; years of relevant experience Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus Previous experience of working on a large system software code