Jobs in United States

Senior Software Solutions Engineer in United States

1,941 active opportunities · Updated October 2026

Explore current senior software solutions engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

C-
📍 New York, NY, United States
✓ High-confidence listing

$220K – $290K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We're looking for Senior Fullstack Software Engineers to help build the next generation of CLEAR's mission and vision. Beyond verifying identity, we're creating a secure, networked digital identity that enables seamless experiences across travel, enterprise, healthcare, financial services, and beyond. As a Senior Software Engineer III, you'll own complex technical problems from design through deployment, partnering closely with Product, Design, Security, and Operations to deliver reliable, scalable solutions. We're looking for engineers with a strong builder mindset who thrive in ambiguity, take ownership, and enjoy turning ideas into production systems. Level and team matching (open roles across the three pillars that make up Technology at CLEAR: Core Identity, CLEAR1 , and CLEAR Travel ) will occur towards the end of our interview process. Tech stack overview: A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and a

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A
📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

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 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team builds bespoke solutions for financial advisors to grow and sustain their business, starting with a new secure messaging experience. As a Senior Software Engineer with a frontend emphasis, you will be the primary owner of the team’s user interface layer — crafting modern, performant, and intuitive experiences that financial advisors rely on daily. You will lead frontend architecture decisions, build and maintain component systems, and collaborate closely with Product Design to translate complex advisor workflows into elegant, accessible interfaces. While your primary impact will be on the frontend, you will work across the full stack as needed to deliver complete features and integrate with backend services and APIs. 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-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Lead frontend development for the Advisor Experience Secure Messaging product, building rich, performant user interfaces using modern web frameworks. Design and maintain scalable frontend a

JavaReactNode.jsVue
DC
📍 New York, New York, United States
✓ High-confidence listing

From $75K/yr

Quick readStrong listing-quality and freshness signals

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

AIRecruitment
C
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -72%
Quick readStrong listing-quality and freshness signals

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! Role Overview Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. Key Responsibilities As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment Develop agent orchestration systems that help security practitioners automate repetitive security tasks Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements Ship production-ready agent capabilities that run efficiently in resource-constrained environments Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fal

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O
📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -79.2%

About the Team The Industry Marketing team helps OpenAI bring frontier AI to the industries where it can create meaningful, measurable impact. We work across Product, GTM, Communications, Partnerships, Policy, Security, and Research to translate model and product capabilities into industry narratives, field motions, customer proof, and launch programs that help enterprises adopt AI responsibly. About the Role As Product Marketing Manager, Cybersecurity, you will help define how OpenAI brings frontier AI to cyber defenders. This role sits at the center of Daybreak, OpenAI’s cybersecurity initiative to help defenders see risk earlier, act sooner, and build software that is resilient by design. You will shape the market narrative, build the field-facing operating system, and coordinate cross-functional execution across product launches, customer proof, partner moments, events, and account-based campaigns. You will help senior security leaders understand how OpenAI models, Trusted Access for Cyber, Codex Security, and related workflows can support real defensive work. We’re looking for a product marketer who combines strategic narrative, technical curiosity, enterprise go-to-market judgment, and program leadership. The right person can turn fast-moving capabilities into clear positioning, credible assets, and practical field execution. In this role, you will: Own positioning and messaging for OpenAI’s cybersecurity offering, including Daybreak, Trusted Access for Cyber, Codex Security, and related product surfaces. Build field-ready assets for account directors, solutions engineers, security leaders, and executive audiences, including first-call decks, one-pagers, use-case libraries, customer stories, and proof-point packages. Translate frontier model capabilities into simple, accurate, and defensible go-to-market language for senior enterprise buyers and security practitioners. Partner with Product, Research, Security, Policy, Communications, Partnerships, and GTM to c

Artificial IntelligenceAIProcurement
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -8%

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

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📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. Improve the reliability, observability, performance, and op

PythonAWSRestAI
N
📍 Santa Clara, United States
✓ High-confidence listingCompany trend -8%
Quick readStrong listing-quality and freshness signals

Are you ready to contribute to world-class innovation and push the boundaries of what's possible? At NVIDIA, you'll have the opportunity to be part of a team that is driving groundbreaking impacts across various markets. As a Thermal Solutions Development Engineer, you will play a pivotal role in our Silicon Codesign Group, transforming thermal solution concepts into lab-ready builds and beyond. What you will be doing: Build thermal solutions for engineering characterization and validation of next-gen GPU/SOC products, ensuring flawless delivery from concept to lab. Drive end-to-end development and deployment of thermal solutions, collaborating with internal teams and external vendors on build requirements, prototype evaluation, test system integration, and software automation. Improve thermal design processes by incorporating feedback and findings, developing workflow and maintaining our world-class standards. Work closely with system architects, chip and board designers, and software/firmware engineers in a dynamic and high-energy environment to bring industry-defining products to market. Apply AI-enabled approaches and AI tools to accelerate design iteration, test planning, and characterization/validation triage (e.g., requirements/spec summarization, experiment prioritization, log/telemetry summarization, anomaly/outlier detection), improving cycle time, coverage, and traceability while validating outputs against physics, specs, and lab measurements. Partner with AI/tooling teams as the thermal domain SME to define use-cases, success criteria, and evaluation methods; provide feedback to improve tool reliability and usability. What we need to see:

C-
📍 New York, New York, United States· Full-time
✓ High-confidence listing

$225K – $300K/yr

Quick readStrong listing-quality and freshness signals

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Fullstack Software Engineer on CLEAR’s Healthcare team, you will build and scale secure, interoperable identity and data solutions that connect patients, providers, and partners. You’ll operate at the intersection of modern web platforms, healthcare interoperability standards, and high-assurance identity systems powering frictionless, trusted healthcare experiences nationwide. A brief highlight of our tech stack: Python / React / Typescript AWS cloud What you’ll do: Design and deliver secure, scalable fullstack solutions that integrate with enterprise EHR systems and national health information exchange frameworks Build and maintain healthcare data integrations leveraging FHIR (RESTful APIs/JSON) and HL7 v2 messaging to enable compliant, real-time data exchange Develop identity resolution and patient matching capabilities using identifiers such as MRNs and NPIs to ensure integrity across disparate clinical systems Partner with Engineering, Security, Product, and Health Information Management teams to implement compliant, audit-ready workflows for regulated healthcare processes Collaborate with external vendors (e.g., Epic Technical Services) to troubleshoot integration issues, manage deployments across TST/PRD environments, and ensure production reliability How you’ll measure success: Successful delivery and stability of FHIR/HL7 integrations across healthcare partners Reduction in data integrity issues related to patient matching and identity resolution High system uptime and successful production deployments across tiered

TypeScriptPythonReactAWS
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.2%

About the Team The Enterprise Identity team builds the identity foundation that enables organizations to adopt and use OpenAI products securely and reliably. The team owns the enterprise identity stack, including SSO, SCIM, tenant architecture, and identity capabilities across the enterprise admin experience and OpenAI's growing multi-product portfolio. About the Role We are looking for a hands-on senior technical leader to own the architecture and evolution of OpenAI's Enterprise Identity systems. You will set the long-term technical vision for the entire stack, establish shared identity primitives across products, and be accountable for systems that are foundational to our enterprise business. This role requires operating well beyond a single service or feature area. You will identify the most consequential architectural investments, align teams around durable solutions, and ensure our identity platform meets an exceptionally high bar for scale, availability, latency, and security. This role will be based in our San Francisco or Mountain View office. In this role, you will: Own the technical vision and architecture for the Enterprise Identity stack, including SSO, SCIM, tenant architecture, groups, permissions, and identity capabilities in enterprise administration surfaces. Lead the design and evolution of highly available, latency-sensitive identity systems serving a large and diverse global enterprise customer base. Establish common identity models and primitives that work consistently across OpenAI's products and enable the organization to scale. Set a high security bar by anticipating abuse cases, failure modes, and the long-term implications of new capabilities. Drive alignment across enterprise product, infrastructure, and security partners, resolving ambiguity and influencing roadmaps beyond the immediate team. Provide technical leadership to senior engineers and raise the quality of architecture and execution across the broader organization. You might thr

AWSRestAIRust
C
📍 Work At Home Massachusetts, United States
✓ High-confidence listingCompany trend +340.2%
Quick readStrong listing-quality and freshness signals

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 Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer. The Senior Manager, Software Engineering will lead engineering teams building a best-in-class consumer health experience on the Health100 platform, focused on identifying, prioritizing, shaping, and executing complex platform initiatives. As a key member of our engineering organization, you will drive innovation, manage cross-functional teams, and deliver scalable cloud-native and AI-enabled solutions that improve consumer experiences and business outcomes. This role works within a top-notch organization of software developers who identify, design, and deliver technology solutions using Java, distributed systems, cloud platforms, and AI-powered capabilities to achieve defined business value. You will guide the integration and validation of complex technology solutions, drive engineering excellence, and leverage emerging technologies including Generative AI and intelligent automation to accelerate innovation and efficiency *Remote eligible within the United States. Preference for candidates in close proximity to our Woonsocket, RI headquarters. Resp

JavaGCPDockerKubernetes
B
📍 Herndon, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Senior Java Software Engineer – Developer Company: The Boeing Company The Boeing Company is looking for a Senior Java Software Engineer – Developer to join the Advanced Ground Architecture team located in Herndon, Virginia, Seal Beach, California, El Segundo, California or Colorado Springs, Colorado . This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Advanced Ground Architecture (AGA) software team is dynamic group of software engineers creating the future of Ground support with the extensibility and adaptability to be used across ALL Boeing programs. The software team is executing this vision through modern software technologies (Java, ReactJS, python, CI/CD pipelines) and methodologies (Scaled Agile). AGA is looking for self-motivated high performers to lead and execute the large scope of Java development needed for the program's vision. The ideal candidates will provide software engineering functions for the design, development, and maintenance of complex, multi-tiered application software systems used to support the command and control of space vehicles. The software engineers will work day-to-day with system and test engineers to implement, test, and document new features and improvements for both web services and applications supporting distributed computing solutions. Position Responsibilities: Develops software in conjunction with agile team leadership including participation at agile events Assists in the execution of DevSecOps processes to deliver software baseline on sprint boundaries. Participates in PI planning as an agile team member Engages with users and other engineers

PythonJavaReactAngular
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -8%

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand 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! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

PythonDockerKubernetesArtificial Intelligence
P
📍 New York City, New York, United States· Full-time
✓ Quality checkedCompany trend -85.7%

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: Join a team that builds robust, real-time distributed systems for a cutting-edge database. We care about performance, reliability, scalability, and most of all learning and having fun together. Whether you’re a seasoned coder or just getting started, if you’re passionate about technology and eager to learn, you’ll fit right in. Who we are: We show up to work, ready to collaborate and build technologies that make a difference, with people who genuinely care. We chase improvements such as tail latencies, bytes throughput, cache hit rate, and operational cost efficiency. We believe learning is ongoing and that even the most complex problems can have simple solutions. What You’ll Do: Collaborate with teammates to design and build database features that power AI applications. Learn how to tune performance and support reliability in distributed systems (don’t worry, we’ll guide you). Help Pinecone run smoothly on popular cloud providers. Take ownership of your work and grow your skills every day. Have fun. Who You Are: 5+ years of work experience - programming in Rust, Go, C++, or a comparable language. You’re genuinely curious about distributed systems and eager to dive deep into technical challenges. You approach problems with creativity and persistence, and you’re comfortable asking thoughtful questions or seeking feedback. You’re excited to learn, value constructive feedback, and appreciate mentorship. Bonus Points: You have hands-on experience with cloud platforms (AWS, GCP, Azure) or have demonstrated an ability to pick u

AWSAzureGCPAI
R
📍 San Mateo, CA, United States· Full-time
✓ High-confidence listingCompany trend -100%

From $216.7K/yr

Quick readStrong listing-quality and freshness signals

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Privacy Software Engineer on the Privacy Infrastructure team, you will design and build the foundational platforms, services, and controls that enable Roblox to protect user data and meet global privacy obligations at scale. You will develop privacy-by-design solutions that support data governance, user privacy rights, data discovery, retention, auditing, and regulatory compliance across a rapidly growing ecosystem of products and services. This role sits at the intersection of distributed systems, data platforms, security, and privacy engineering. You will partner closely with engineers, product teams, security, legal, and policy stakeholders to build scalable privacy infrastructure that is deeply integrated into Roblox's development workflows. Your work will directly influence how we responsibly manage data for millions of users while enabling innovation across the platform. You Will Design and build scalable privacy infrastructure that enables Roblox to discover, govern, protect, and manage personal data at scale. Develop backend services, APIs, and data pipelines that embed privacy controls into engineering workflows and enable fulfillment of user privacy rights at global sc

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