Senior Business Operations Analyst in United States

Cloud Infrastructure Administrator (Mid-Level, Senior or Lead) **Sign on Bonus Potential** Company: The Boeing Company The Boeing Company’s Specialized United States Infrastructure Operations organization is currently seeking a Cloud Infrastructure Administrator (Mid-Level, Senior or Lead) to join the team in Berkeley, MO; Seattle, WA; or Daytona Beach, FL . The Infrastructure team is seeking an experienced cloud infrastructure professional to help design, build, and sustain the foundational cloud environment supporting critical program needs. In this role, the selected candidate will help establish and operate secure, scalable, and resilient cloud infrastructure environments in Microsoft Azure to enable enterprise applications, software toolchains, and digital engineering workloads. As both an individual contributor and technical leader, this position will work across network, computer, storage, identity, security, and automation domains to deliver repeatable cloud infrastructure patterns and operational excellence. This role is focused on infrastructure operations, sustainment, automation, and reliability, rather than application software development. Position Responsibilities: Design, implement, and maintain Microsoft Azure-based infrastructure solutions including networking, compute, storage, identity integration, and supporting services Develop and maintain Infrastructure as Code (IaC) and configuration automation solutions using Terraform, Ansible, PowerShell, and Bash Implement cloud policies to enforce security, ensure regulatory compliance, and manage user access Build repeatable landing zones and cloud infrastructure patterns that support mul

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across our Infrastructure Platforms department. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

Systems Software Engineer, Missile Defense National Team (Associate, Experienced, Senior) Company: The Boeing Company The Boeing Company is looking for a Systems Software Engineer, Missile Defense National Team (Associate, Experienced or Senior level) to join our Missile Defense National Team in Colorado Springs, CO or Huntsville, AL. This position requires an active U.S. Secret Security Clearance for which the U.S. Government requires U.S. Citizenship. The Missile Defense National Team (MDNT) was established in 2004 to develop and deploy the Missile Defense Agency’s (MDA) Command, Control, Battle Management, and Communications (C2BMC) system. This system ingests data from sensors around the globe to create a single source of information for the warfighter to enable engagements. The C2BMC Program is a full lifecycle defense contract providing solutions across the engineering capability to include system architecture, development, deployment, operations and maintenance, and sustainment of the Missile Defense System (MDS). This work integrates efforts from multiple companies (teammates) with systems engineering experience in model-based systems engineering (MBSE), requirements development, modeling and simulation (M&S), network design, integration and test, and analysis. This position will focus on supporting the Ballistic Missile Defense System (BMDS). The Boeing Missile Defense Programs support the Missile Defense Agency's (MDA) mission to develop and deploy a layered Missile Defense System to defend the United States, its deployed forces, allies, and friends from missile attacks in all phases of flight. Be a part of our passionate and highly motivated team who are excited to be on the forefront of defense of

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will evangelize, architect, and implement new CUDA features You'll oversee and drive development efforts across multiple teams Collaborate with members of hardware architecture teams Help define forward-looking improvements to the CUDA APIs and programming model Design and maintain performance and precision modeling Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) 15&#43; years of relevant systems software development experience Strong C programming skills </

Reporting to the Senior Manager, Enablement Curriculum and working across a cross-functional Enablement team, you'll build learning experiences that hold up in the field - objectives, practice, assessment, and the content that carries them. This is a builder's role. You'll decide how the learning actually works, and you'll own the quality of what ships. 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. Who you are: An owner: You take pride in your outputs and their outcomes. You take ownership from design through launch and everything that comes after it. An innovator: You challenge the status quo, bring new ideas, and look for ways to improve what already exists. An agile problem solver: You shift seamlessly between detail and big picture to meet the moment, adapting to change with a solutions-oriented mindset. A lifelong learner: You challenge assumptions and use curiosity to drive continuous improvement. A trusted advisor: You ask sharp questions, synthesize complex ideas, and build relationships to understand and explain ambiguous concepts. A clear communicator: You bring structure, clarity and polish to your work - written, verbal or visual. What you’ll do: Build the curriculum for Global Commercial Customer Success. Develop high-quality enablement content (instructor-led materials, facilitator guides, eLearning, job aids and assessments) for both individual contributors and their frontline leaders, built to instructional design and adult learning principles. Build within the learner journey. Contribute to and build the components of role-specific journeys (onboarding, everboarding and on-demand) inside the curriculum arc for your area. Know what good looks like. Translate performance expectations into observable behaviors and clear proficiency standards. Turn

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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: Support Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. Help attract early-stage AI companies into Datadog's startup program. Wh

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

The Engineering Lead Analyst – Test Automation Platform Engineering is a senior-level technical leadership role responsible for driving the architecture, implementation, management, operational support, and continuous enhancement of enterprise test management and automation platforms. In this role, you will lead efforts to modernize test automation capabilities across the global technology ecosystem. You will architect end-to-end integration workflows, embed automated quality gates into enterprise CI/CD pipelines, and administer as well as operationally support both vendor and internally developed enterprise platforms (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, CSDP / Octane). Additionally, you will play a critical role in production operations—delivering tier-3 platform support to rapidly and safely troubleshoot, triage, and remediate performance and availability issues in complex, distributed production environments. The ideal candidate blends deep hands-on expertise in software testing frameworks, modern DevOps pipelines, containerized infrastructure, message-driven integration, and robust operational resilience practices with strong governance, compliance, and stakeholder leadership skills. Key Responsibilities 1. Platform Engineering & Operational Support Install, configure, upgrade, administer, and support enterprise test management and performance engineering toolsets (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, Core Software Development Platform [CSDP] / Octane). Provide end-to-end operational support for

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

As an Executive Assistant, you will serve as a trusted partner to senior executives, ensuring the seamless management of their day-to-day operations and helping maximize their effectiveness. You will be responsible for complex calendar management, travel coordination, communications support, meeting preparation, and a variety of administrative and operational functions. This role requires exceptional organization, attention to detail, discretion, and the ability to anticipate needs in a fast-paced, constantly evolving environment. In addition to supporting executives, you will collaborate closely with the broader people team, provide backup support as needed, and serve as a positive ambassador for our culture and values. To be successful in this role, you are highly organized, proactive, resourceful, and adaptable. You thrive in a dynamic environment, exercise sound judgment, communicate effectively with stakeholders at all levels, and consistently maintain a high degree of professionalism and confidentiality. *Please note, this role will be asked to be in our New York office Monday through Friday. As the Executive Assistant, you can expect to: Provide administrative support to our Chief Product Officer and Chief Technology Officer Manage a meeting heavy calendar and stay on top of their changing priorities, acting as a gatekeeper and partner Support executive communications and correspondence, ensuring timely follow up and coordination as needed. Prepare executives for meetings by coordinating agendas, gathering materials, and ensuring all relevant information is available in advance. Track action items, deadlines, and deliverables, proactively following up to ensure completion. Assist with planning and coordination of company events, team gatherings, offsites, and employee engagement initiatives. Coordinate domestic and international travel arrangements, including flights, accommodations, transportation, itineraries, and logistics. Prepare and submit accurat

About the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our

Become a part of our caring community The Provider Contracting Professional supports the West Region in the negotiation, analysis, and maintenance of physician and other provider agreements for an organization delivering healthcare to the senior population. You will assist with contract management activities, provides analytical support, and ensure accurate documentation within established processes and guidelines. You will report to a Director, Provider Contracting. Job Responsibilities: Support the contracting team in drafting, reviewing, and processing provider contracts and amendments Collaborate with market engagement, leadership, and legal teams to facilitate contract execution and resolve basic contract term revisions Assist in communicating contract terms, payment structures, and reimbursement rates to IPA and ACO provider groups under the guidance of senior staff Conduct initial financial analyses of contracts and terms; prepare summaries for senior review Maintain contract files and documentation within the organization's tracking system, ensuring accuracy and compliance Assist in identifying and reaching out to potential providers for network development based on current needs and network composition Prepare reports and updates for contracting initiatives as requested Manage assigned priorities and deadlines, escalating complex issues to senior team members Use your skills to make an impact Required Qualifications 2&#43; years' experience in provider contracting, network management, or a related healthcare field Knowledge of managed care or value-based contracting Understand contract terms and basic financial impact Preferred Qualifications Experience supporting ACO or IPA provider

Job Details: Job Description: As a Senior Power and Performance (PnP) Engineer, you will be responsible for PnP product execution focused on measurements, analysis, and projections/estimates of Intel's unlaunched notebook and desktop products. Based on your technical knowledge of both Intel and the competition, you will help influence OEM customers, internal marketing teams, internal engineering teams, debug Intel silicon/platform on PnP issues, and be an integral part for Intel product launches. Core responsibilities to include following: Measure, analyze, and debug workloads to call out any power and/or performance gaps and close with internal engineering teams/architects Measure and analyze SoC/CPU and platform power on a rail by rail basis and debug any issues/gaps Align with other internal engineering teams and architects to ensure there is consensus on power and performance projections/estimates/measurements for both internal and external communication Guide, educate, and influence internal engineering teams, field account teams, and marketing teams on power and performance positioning of Intel products Create power and performance estimates on upcoming Intel products based on workloads to aid marketing decisions and help set internal KPI targets Own the publication of the Power Performance Guide (PPG) collateral to help guide OEM customers Bring up full test platform to enable both power and performance measurements including setup, calibration, and measurements. Qualifications: You mus