Solutions Configuration Management Analyst in United States

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. What you'll do Identity & access Advance our identity posture: SSO coverage, phishing-resistant MFA rollout, SCIM lifecycle automation, and least-privilege access across the SaaS and cloud estate. Build the detections and guardrails that catch account takeover, MFA fatigue attacks, and session token theft before they turn into incidents. Endpoint & device lifecycle Write and ship device policy as code — configuration profiles, remediation scripts, and enforcement rules across macOS and Windows — with staged rollout and rollback built in from day one. Maintain and improve our EDR stack's detection and response coverage across the fleet. SaaS posture Reduce SaaS risk at scale through SSPM tooling and automation , including detection of risky OAuth grants, shadow IT, and configuration drift across our critical SaaS applications. Own security configuration for the SaaS tools hundreds of Flexporters use daily (Google Workspace, Slack, and similar), and keep pace as we add AI agents and MCP integrations to that surface. Automation & enablement Automate the parts of corporate security that don't need a human — device provisioning, access reviews, vendor securi

Become a part of our caring community Humana is seeking a Lead Cloud Architect – NoSQL Databases to provide strategic leadership, architecture direction, and engineering oversight for enterprise NoSQL database platforms across Humana’s cloud environments. This role will focus on the design, implementation, modernization, and governance of NoSQL database solutions, including MongoDB, Azure Cosmos DB, Neo4j, and vector database technologies. The successful candidate will help define and advance Humana's enterprise NoSQL strategy, support platform rationalization initiatives, and ensure database solutions are secure, scalable, resilient, automated, and aligned with enterprise architecture standards. This role requires hands-on technical depth, strong cloud architecture experience, and the ability to collaborate across security, engineering, quality, application, and business teams. Key Responsibilities Develop, document, and maintain enterprise-wide NoSQL database standards, reference architectures, design patterns, and best practices. Lead architecture and engineering efforts for NoSQL platforms including MongoDB, Azure Cosmos DB, Neo4j, and vector databases. Support NoSQL platform rationalization and modernization initiatives, including migration planning and execution from Cosmos DB to MongoDB where appropriate. Architect secure, highly available, scalable, and performant NoSQL database solutions across cloud environments, including Azure and/or Google Cloud Platform. Define database architecture patterns for document databases, graph databases, key-value workloads, and vector search use cases. Guide application teams on NoSQL data modeling, partitioning, indexing, query patterns, performance optimization, and operational readiness. Oversee automation of NoSQL provisioning, configuration, monit

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You’ll Play: As Lead Product Manager, Professional Services , you’ll operate at the intersection of product strategy, customer need, and commercial opportunity—helping to shape solutions that extend our product portfolio and support strategic customer outcomes. Define and drive the product approach for Professional Services-led opportunities Identify where customer needs can be solved through scalable product extensions, configuration, or targeted enhancements. Evaluate opportunities through the lens of customer value, strategic fit, implementation complexity, and long-term maintainability. Help shape a thoughtful path forward for requests that sit adjacent to—or outside of—the existing roadmap. Bring product rigor to opportunities that are often cross-functional, time-sensitive, and not always neatly defined within the existing roadmap. Partner across Product, Engineering, Sales, Customer Success, and Professional Services Translate customer-driven requests into clear product decisions, recommendations, and next steps. Collaborate closely with cross-functional stakeholders to align on priorities, trade-offs, and execution plans. Build strong rapport with internal count

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Financial Systems Engineer at Vanta, you will own the end-to-end health and evolution of the tech stack, data, and system integrations across our Procure to Pay and FP&A verticals, and be a technical lead for procurement, planning, and finance data systems. Vanta's Financial Systems function builds, maintains, and supports the tools that Vanta's Finance & Accounting operate on. The team builds scalable, integrated, and high value solutions that enable Finance, Accounting, and RevOps to move quickly without trading away accuracy or auditability. Vanta's Finance Systems team is early, and Procurement and FP&A have historically had little systems representation. That makes this a rare chance to own foundational decisions rather than inherit them. You will be helping implement our first CPM tool, re-architect Zip end-to-end, and help build the finance data layer in Snowflake that everything downstream will run on, with the autonomy to set the standards the team builds on as we scale. What you’ll do as a Senior Financial Systems Engineer at Vanta: Own the architecture, configuration, and operational health of Zip (P2P) including workflows, integrations, customizations, and agentic buildout Serve as the internal lead implementing Vanta's first CPM tool, working with an implementation partner, and owning the product post-launch Partner with Data/Analytics to design the Finance and Accounting data model in Snowflake, translating FP&A and Accounting requirements into data plans and SQL models Architect and maintain integrations between NetSuite and adjacent systems (Salesforce, Stripe, Anrok, Tesorio, Workato

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. THE OPPORTUNITY Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. WHAT YOU'LL DO Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack,

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES: Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. Own benchmarking and repeatable deployments , including: Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. Driving consistent “playbook” style deployments for common models and use cases. Become a power user of different runtimes such as vllm, sglang, and TRT-LLM and all the common configurations and tradeoffs between them Drive POC and project execution , including: Scoping POCs and keeping stakeholders aligned on timeline, deliv

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. In this role, you will serve as the primary technical partner for our most strategic prospects and customers. You’ll play a dual role: driving complex technical engagements through end-to-end demos, migrations, and integrations, and accelerating ramp for new sales hires by codifying best practices. You will showcase our product’s value to prospects, uncover challenges and architect tailored solutions, drive successful sales evaluations, and champion customer needs internally. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Articulate Linear’s architecture, data model, and integration patterns to engineering and product teams; deliver tailored technical presentations and deep-dive demos for key stakeholders. Design, plan, and execute large-scale migrations, custom configurations, and API integrations; troubleshoot proactively to ensure seamless onboarding. Build and maintain realistic demo instances that mirror enterprise workflows, scale tests, and feature toggles—enabling sales reps to showcase Linear’s capabilities in context. Collaborate with Sales

Own the end-to-end execution that takes NVIDIA DRIVE Autonomous Driving Software (NDAS) from product definition to production deployment across major OEM vehicle lines. We are seeking an accomplished engineering execution leader to lead adaptation, integration, validation, and production readiness of NVIDIA Autonomous driving solution (NDAS) for strategic automotive OEMs. You will work between NVIDIA product and engineering teams and the OEM's vehicle, software, systems, and validation groups. The role involves converting an agreed feature set into a deliverable vehicle program. This entails clarifying requirements, coordinating interfaces and responsibilities, setting the engineering plan, building consistent productization workflows, and managing issue resolution. You will influence teams such as systems engineering, autonomous-driving development, platform software, functional safety, cybersecurity, quality, validation, release, and customer engineering. What You'll Be Doing: Lead NDAS execution with major OEMs across the full program lifecycle — from feature definition and technical alignment through vehicle integration, validation, launch, and production ramp — owning the coordinated engineering plan per vehicle line, including requirements, architecture, adaptation scope, achievements, staffing, validation strategy, release criteria, and production-readiness gates. Translate OEM vehicle requirements and use cases into clear commitments for NVIDIA teams, while ensuring OEM partners understand product capabilities, constraints, assumptions, and the work required on their side; build scalable, repeatable workflows for adapting NDAS to specific OEM platforms, vehicle architectures, sensor configurations, compute platforms, networks, and development processes. Drive multi-functional implementation across autonomous-driving features, systems, platform software, vehicle integratio

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Senior Manager, Manufacturing Engineering owns the manufacturing engineering function across Hyliion's Cedar Park, TX headquarters and primary production site and its Milford, OH R&D operations. The role is the bridge between the engineering design of the KARNO Power Module and the scalable, repeatable production system required for commercial ramp, defining and driving the processes, tooling, documentation, and infrastructure that transform KARNO from a highly engineered prototype into a manufacturable product. This is a player-coach role: the incumbent builds and leads a team of manufacturing engineers while remaining personally hands-on in the most challenging production problems. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Productionization: translate engineering designs into manufacturable, repeatable, and scalable production configurations across both sites, aligned to the commercial ramp roadmap. Tooling and process development: design, develop, and qualify manufacturing tooling, fixtures, and processes that support quality, efficiency, and volume scalability. Manufacturing documentation: own PFMEAs, control plans, work instructions, SOPs, and MBOMs, keeping them accurate, current, and accessible to the production floor. Lean and material flow: define and implement standard work, material flow, and handling strategies that increase throughput, reduce waste, and prepare the factory for

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for a software engineer to help build the design methodology, software abstractions, and infrastructure that enable a small silicon team to develop complex chips rapidly and with high confidence. You will turn evolving architecture and design needs into reusable tools and workflows that improve iteration speed, quality, and then apply those tools to help construct world-class silicon. You’ll work closely across architecture, design, verification, performance modeling, and systems software. This role is well suited for an engineer who enjoys building high quality software and is motivated by the challenge of improving velocity and quality of the silicon development process. In this role, you will: Develop and scale design methodologies for rapid first-party chip development and apply them to construct complex custom chips Create abstractions that allow hardware structures, configurations, experiments, and results to be represented consistently across tools. Automate high-value engineering workflows and improve their reproducibility, observability, testability, and ease of use. Partner with architects, RTL designers, verification engineers, compiler engineers, and systems software engineers to gather requirements and then implement solutions. Use methodology and tooling to identify design risks early, accelerate iteration, and improve confidence in performance and implementation tradeoffs. Contribute across multiple aspects of software and hardware

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h

Retail Partner Sales Representative Description - Job Summary • This role is responsible for collaborating with partners to transform leads into joint sales activities, tailoring solutions to meet customer needs in our Consumer Personal Systems business. The role builds strong strategic relationships with partners and promotes the organization's offerings fostering long-term business opportunities. The role mentors junior employees and leads training sessions for partners, continuously monitoring their performance to contribute to the team’s success. Responsibilities • Acts as the expert to the partner for complex information regarding the organization’s products, services, promotions, and configurations. • Develops and maintains account plans to promote sales growth in adherence to legal procedures and requirements. • Partners and transforms potential leads into joint sales activities; creates, fills in, and manages the funnel for deals with partners while achieving and/or exceeding quotas. • Collaborates with partners to tailor solutions that address specific customer needs, including customization of products and services to align with client requirements. • Builds strategic relationships with the partner to ensure long-term business opportunities for the organization. • Promotes and incorporates the organization’s offerings to become a key part of the partner’s business and solutions. • Leads training sessions and workshops for partners, educating them on the latest products, services, and industry trends to enhance their sales capabilities. • Monitors partner performance against targets, analyzing data, and providing insights to drive improvements and optimize outcomes. • Mentors junior team members, sharing expertise, providing guidance, and contributing to their professional development. Educatio

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a talented engineer to join our CPU design team and lead the front-end RTL physical implementation team. Drive CAD flows on multiple process technologies while working closely with core micro-architects to refine CPU core configurations and optimizing PPA. You’ll work on a CPU based on RISC-V ISA, collaborating with DV, PD, RTL and performance teams to deliver a functional, timing, and power-converged design. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An expert in physical design practices used to optimize PPA Experienced in high-performance physical design. Proficient in RTL coding (Verilog/VHDL) and familiar with industry-standard tools for simulation and power analysis. Skilled in synthesis, place and route tools including flows and physical design methodology. Background in CPU micro-architecture. What We Need Own front‑end physical implementation and PPA definition for a high‑performance RISC‑V CPU and CPU subsystem Work closely with microarchitects and RTL designers to “make the IP better” by optimizing frequency, power, and area

Linux System Administrator Alexandria, VA Secret clearance or higher The Test and Training Enabling Architecture (TENA) program at Leidos is looking to add a Linux System Administrator . Our mission is to develop tools for the United States Department of Defense test and training communities, to increase the speed of the development cycle, to get capabilities to the warfighter more rapidly. The Linux System Administrator will work within a team engineers, developers and system administrators, adding new capabilities to our enclaves, as well as ensuring the existing systems are secure and performing as intended. This position is required to work on-site in our Alexandria, VA office. Primary Responsibilities: Provide support for installing and maintaining Linux servers. Provide technical leadership for migrating on premise infrastructure to hybrid cloud solution. Provide support for troubleshooting from OS to application-level issues. Manage networking equipment including switches, routers and firewalls. Manage configuration and maintenance of core enclave infrastructure services including DCHP, DNS, e-mail, Apache Web Servers, Tomcat application servers, Atlassian applications, MariaDB database servers. Configure and monitor security tools required for DoD networks. Participate and contribute to design discussions related to improving the capabilities, performance and security posture of new and existing services. Basic Qualifications: US Citizen with at least an active Secret clearance. Bachelor’s degree with 4+ years of experience or a Master’s degree with 2+ years of experience. Additional experience may be considered in lieu of a degree. 4+ years of experience providing System Administration to DoD IT systems. DoD 8570 IAT level I