Applications Support Sr Analyst Jobs

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned world-class leader and operator to architect and expand our partnership ecosystem and transform how Scale goes to market globally. This leader will build high-impact relationships with world-class partners, focused on professional services firms, to accelerate the development of AI applications with Scale. We are looking for a revenue-minded leader to own GSI-sourced and GSI-influenced pipeline. You should be able to set the strategy and also run the operating cadence it takes to turn alliance agreements into closed revenue: joint account plans, co-sell motions, practice building, and delivery enablement. You will source, evaluate, negotiate, and execute partnerships covering go-to-market, joint solutions, and delivery areas. This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations. You will Define and deliver the strategy and roadmap for Scale's GSI partnership program, including partner selection, tiering, and investment priorities Build trusted relationships with alliance leaders, AI practice leads, and C-level executives at top GSIs and consultancies Structure and negotiate alliance agreements (e.g., resale, referral, co-sell, joint go-to-market, and delivery partnerships) and get cross-functional alignment on terms Build joint account plans with GSI partners for Scale's priority Enterprise accounts and drive co-selling with Scale's sales teams Help partners build Scale-certified practices: training, technical enablement, certification, reference architectures, and repeatable delivery playbooks Co-develop industry-spe

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

About the role: This is an opportunity to join K's critical InfoSec team as a Senior Security Engineer - AppSec and operate with foresight in protecting our infrastructure, applications, cloud security, and customer trust. As a lean team, we span across multiple areas such as AppSec, CloudSec, SecOps, ITSec, and Compliance and apply it towards reading and interpreting architecture, or planning and building out net new security solutions. You will have the autonomy to define and implement cutting-edge security solutions across our entire technical ecosystem, ensuring our innovative work remains robust and compliant against evolving global threats. This role is crucial for establishing and maintaining a world-class security posture, particularly within the sensitive and highly regulated healthcare technology space. What you will do: Lead the development and implementation of robust application security protocols throughout the entire Software Development Lifecycle (SDLC). Partner with engineering teams to incorporate security into architecture, design, development, testing and deployment Perform hands-on security testing of web applications, APIs, cloud-native services and supporting infrastructure Build and improve automated security testing within CI/CI pipelines, including static analysis, dependency scanning, secrets detection, container scanning and dynamic testing Evaluate effectiveness of application security tools, improve tooling output quality and reduce unnecessary findings and developer friction Develop secure coding standards with developer-focused documentation Contribute application security expertise to vulnerability management, during security incidents/investigations and post-incident reviews Evaluate third party applications, libraries and APIs and integrations for security risk Ensure adherence to relevant healthcare regulatory and compliance requirements (e.g., HIPAA, GDPR, etc.) across all product lines and systems. What we're looking for: 4+ yea

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned leader and operator to own Scale Enterprise's partnerships with frontier AI labs and foundation model providers. This leader will build and turn our lab relationships into a go-to-market and technology advantage for the Enterprise business. This is a revenue-minded role. You will build joint go-to-market motions with model providers, structure technology and commercial partnerships, and make sure Scale is the preferred partner for taking lab models into production at enterprise scale. You need to be strategic, technically fluent, and able to execute in a fast-moving, competitive market. This role is highly cross-functional. You will work closely with Enterprise sales, product, engineering, research, finance, legal, and marketing. You will also coordinate with Scale's broader relationships with these labs. You will Define and deliver the strategy for Scale Enterprise's partnerships with frontier AI labs and foundation model providers Build trusted relationships with go-to-market, partnerships, applied AI, and executive leaders at partner labs Structure and negotiate partnerships covering joint go-to-market, co-selling, referrals, model access and commercial terms, and technical integrations Build joint offerings that pair partner models with Scale's applications, evaluation, and data capabilities to speed up enterprise deployments Set up co-sell motions and rules of engagement with lab enterprise sales teams, including joint account mapping and deal registration Generate significant top-of-funnel pipeline through lab partnerships, with clear accountability against Enterprise revenue targets Work with Product, Engineering, and Research so ne

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, internal applicat

As an AI Security Engineer , you will work at the intersection of software engineering, cybersecurity, and artificial intelligence. You will design and build security tools, assess AI-powered applications for vulnerabilities, evaluate third-party and open-source AI technologies, and help establish secure development standards for AI systems. This is a hands-on engineering role for someone who enjoys building solutions, solving complex technical problems, and exploring emerging security risks across technologies such as Generative AI, RAG, and agentic systems. What You'll Do Design, build, and implement tools for AI security testing, penetration testing, red teaming, and continuous vulnerability assessment. Develop mock and test AI applications to evaluate internal and third-party AI security solutions. Identify and assess security risks within AI-enabled applications and workflows. Develop security requirements, standards, and best practices for securely building and deploying AI applications. Evaluate third-party vendors, open-source tools, libraries, and AI technologies from a security perspective. Integrate security testing and evaluation capabilities into CI/CD pipelines and development workflows. Build scalable security tooling and automation that can be adopted across different teams and environments. Troubleshoot applications and solve complex engineering and security problems. Partner with engineering teams, security professionals, customers, vendors, and business stakeholders to understand requirements and deliver practical solutions. Create clear technical documentation covering tools, features, security assessments, testing methodologies, and findings. What You'll Bring 5+ years of software development experience building and supporting production applications. Strong hands-on programming experience with Python. Experience working with RESTful APIs and structured data formats such as JSON, XML, CSV, and HTML. Experience with CI/CD pipelines and mod

About the team: Rubrik secures and accelerates the world’s AI transformation. As AI agents reshape the enterprise, Rubrik’s Enterprise AI Incubation team proves it on Rubrik itself. We are building a thinking enterprise: applications that don't just record the business but help run it. They learn from our data, act through our own agents, and improve with every decision. Fully backed by executive leadership, this team drives meaningful, large-scale enterprise transformation. About the role: We want senior engineers who have already shipped agents that real people rely on, and who are ready to do it again at higher stakes. You will drop into the real work, redesign it around agents that carry it end to end, and ship it as the new way that part of Rubrik operates.You’ll own your agent systems end to end: understanding the workflow, designing the architecture, writing the code, deploying, and running it in production. Rather than simply querying an API, you engineer robust, production-grade infrastructure around model endpoints, integrating custom tooling, context pipelines, automated evaluations, and defensive guardrails to ensure resilience against unstructured real-world data. You also decide whether a problem needs an agent, a simpler automation, or nothing at all, and you have explicit authority to stop or re-scope work that won’t deliver impact. You thrive in ambiguous environments with a low-ego mindset, leveraging AI coding tools as core collaborative partners in your engineering workflow. What you’ll do: Lead product discovery alongside Product Managers and domain experts to understand real workflows, map them out, and define clear problems, baselines, and success criteria as the foundation for building agentic solutions. Design, build, test, and deploy production agents, automations, and internal tools using coding agents, LLM APIs, and agent frameworks, integrated with Rubrik’s internal agent platform and business systems. Turn complex processes into multi-a

The Technical Integration Analyst plays a crucial role in our organization, responsible for implementing, testing, and maintaining integration solutions that connect various systems and applications. As an Integration Engineer, you will work closely with cross-functional teams to ensure seamless data flow and system interoperability. Job Responsibilities Develop and test integration solutions to connect different systems and applications. Collaborate with business analysts and stakeholders to gather integration requirements. Implement and configure integration middleware, ESBs, and APIs to enable data exchange. Perform system integration testing and resolve any issues or discrepancies. Monitor and maintain integration solutions to ensure performance, reliability, and scalability. Create documentation, including integration specifications and process workflows. Troubleshoot and resolve integration-related problems in a timely manner. Collaborate with software developers to implement custom connectors and adapters. Stay up-to-date with industry trends and best practices in integration technologies. Critical Skills & Experience Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as an Integration Engineer or similar r

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. This is a technical leadership role so you will participate in feature design and implementation. Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: 10+ overall years of experience in the software industry with specialization in HPC networking or system software. 4+ years of management experience. BS, MS, or Ph.D. in C

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer sc

About The Role Together AI is the AI native cloud, which has been built bottoms up to cater to the demand for the new generation of AI applications and agents. The company has seen tremendous growth with 10X growth year on year and has over a million developers. As we continue to drive product innovation, we are also investing deeply in our GTM. This role will lead partner marketing at Together AI. They will define our partner marketing strategy and own the execution, in collaboration with the GTM leadership. This role will report into the head of product and solution marketing and will have the opportunity to own and independently build the partner marketing function at one of the most innovative companies at the forefront of AI. Responsibilities Create and execute partner marketing strategy, specially for NVIDIA and cloud partners – in collaboration with GTM leadership Own core messaging for partners, working closely with product marketing to build those Be the marketing POC (point of contact) for partners and run regular rhythms of business to drive co-marketing efforts Collaborate with demand gen and field marketing to run partner marketing campaigns Outline and track metrics to measure our success in the partner space Experiment and try new ideas that can help us scale further the ROI for both partners and Together aI Requirements 5+ years of partner marketing experience, preferably working with cloud hyperscalers (Azure, AWS, GCP) and/or NVIDIA Proven track record in creating and implementing high impact partner campaigns for B2B businesses, preferably in AI or Software Platform (PaaS) Strong ownership mindset and ability to build something from ground up Experience with scaling organizations through partner GTM Strong analytical skills with a data-driven approach to decision-making and reporting Bachelors degree required, preferred if in engineering About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI ap

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Software Engineer - AI & Agentic Architecture This is a senior individual-contributor role combining deep hands-on engineering with multiple agentic frameworks & SDKs, harnesses, MCP, and APIs, technical leadership, and close collaboration with engineering, security, and product teams. You'll design and ship agentic systems, developer tooling, and reusable platform capabilities that improve productivity across SIE. What you'll do: Agentic & AI Engineering Design, build, and operate production-quality agentic applications using agentic SDKs/harnesses — including multi-agent orchestration, subagent delegation, tool integration, and lifecycle hooks. Design Model Context Protocol (MCP) tool and resource interfaces that give coding agents/harnesses safe, reliable access to backend systems and enterprise data. Engineer prompts for reliable structured output (JSON schemas, few-shot examples, validation/retry loops) and build evaluation frameworks to measure and improve output quality. Manage context effectively across long documents, multi-turn conversations, and multi-agent handoffs; design escalation and human-in-the-loop patterns for production reliability. Developer Productivity Configure and extend Codex/Claude Code for team-wide use: AGENT

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. About the Role We are consolidating our merchant onboarding and servicing operations onto a unified Salesforce platform. The Salesforce Training & Enablement Specialist will design and deliver role-based learning that prepares our customer-facing teams to operate on the new platform confidently and effectively. This is a builder role — you will not inherit a finished training library. You will work with the CoE, Salesforce Professional Services, and stakeholders across Sales, Operations, Servicing, Onboarding, and Underwriting to create the learning experiences that drive adoption and change. The ideal candidate brings instructional design discipline, genuine customer service experience, and the ability to translate complex Salesforce workflows into persona-specific learning that sticks. What You Will Do Persona-Based Training Design Build and maintain training across four primary personas within the Pathways Learning Enablement Framework: Sales: Lead creation, application submission, rate negotiation, equipment ordering. Servicing: Account maintenance, case management, escalation handling, Onboarding / Deployment: File build, o

About Cleo Cleo is the AI-native supply chain orchestration company built on modern EDI. We help businesses orchestrate EDI, API, MFT, applications, and trading partner ecosystems with the visibility, intelligence, and control needed to keep business-critical supply chain transactions moving — from order to cash, procure to pay, and everywhere in between. Our platform, Cleo Integration Cloud, brings together integration, workflow automation, real-time monitoring, and Agentic AI intelligence so supply chain, operations, and IT teams can launch partners faster, automate transactions across business systems, resolve exceptions before they become disruptions, and gain actionable insight across the end-to-end supply chain. Trusted by 5,000+ customers across manufacturing, retail, logistics, and distribution, Cleo is headquartered in Rockford, Illinois, with offices in Chicago and Bangalore. We are a team united by one mission: to make supply chains smarter. Cleo Never Stops. The Opportunity As a Senior Implementation Engineer II at Cleo, you are the technical backbone of your TEAM: configuring complex integrations, leading customer status meetings, guiding junior engineers through challenges, and bridging the gap between solution design and hands-on implementation. This is where deep technical execution meets leadership accountability — and where your path to Principal Engineer begins. What You'll Do ▸ Technical Delivery ▸ Lead technical delivery for assigned projects from implementation through Hypercare. ▸ Configure and troubleshoot complex EDI, API, ERP, and B2B integrations. ▸ Build advanced Business Process Sequences (BPS), data mappings, and API workflows. ▸ Implement performance, security, and integration best practices. ▸ Customer & Project Leadership ▸ Act as the primary technical contact throughout project delivery. ▸ Lead customer meetings, workshops, UAT, and technical discussions. ▸ Partner with Project Managers and Solution Architects on planning, scopi

About Cleo Cleo is the AI-native supply chain orchestration company built on modern EDI. We help businesses orchestrate EDI, API, MFT, applications, and trading partner ecosystems with the visibility, intelligence, and control needed to keep business-critical supply chain transactions moving — from order to cash, procure to pay, and everywhere in between. Our platform, Cleo Integration Cloud, brings together integration, workflow automation, real-time monitoring, and Agentic AI intelligence so supply chain, operations, and IT teams can launch partners faster, automate transactions across business systems, resolve exceptions before they become disruptions, and gain actionable insight across the end-to-end supply chain. Trusted by 5,000+ customers across manufacturing, retail, logistics, and distribution, Cleo is headquartered in Rockford, Illinois, with offices in Chicago and Bangalore. We are a team united by one mission: to make supply chains smarter. Cleo Never Stops. The Opportunity As a Senior Implementation Engineer II at Cleo, you are the technical backbone of your TEAM: configuring complex integrations, leading customer status meetings, guiding junior engineers through challenges, and bridging the gap between solution design and hands-on implementation. This is where deep technical execution meets leadership accountability — and where your path to Principal Engineer begins. What You'll Do ▸ Technical Delivery ▸ Lead technical delivery for assigned projects from implementation through Hypercare. ▸ Configure and troubleshoot complex EDI, API, ERP, and B2B integrations. ▸ Build advanced Business Process Sequences (BPS), data mappings, and API workflows. ▸ Implement performance, security, and integration best practices. ▸ Customer & Project Leadership ▸ Act as the primary technical contact throughout project delivery. ▸ Lead customer meetings, workshops, UAT, and technical discussions. ▸ Partner with Project Managers and Solution Architects on planning, scopi