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Senior Systems Design And Integration Specialist Jobs

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Explore current senior systems design and integration specialist jobs. Use filters to narrow by work mode, employment type, experience and date posted.

S
1mo ago

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe’s People Systems Team sits at the intersection of technology and human experience. We are internal consultants who turn ambiguity into scale. Part of the People Solutions org, we partner with Corporate Technology, Finance, Payroll, the wider People team including Total Rewards & Benefits teams to build a world-class employee experience. We are a "strategy-first, quality- execution-always" team that values technical rigor, nimble problem-solving, and a deep empathy for the Stripes we serve. What you’ll do As a Senior Workday Analyst, Payroll, you'll be a technical anchor for our Workday ecosystem and a driver of what's next for it. This role goes beyond keeping the lights on: you'll bring new Workday feature knowledge into the team, help automate manual payroll processes, and shape how we use emerging Workday capabilities (including AI-driven and agent-based tools) to modernize our payroll operations. You'll own the technical health of our Workday Payroll environments for Workday in-house payrolls, balancing critical keep-the-lights-on (KLTO) operations with high-impact strategic projects. You'll also act as a bridge to our broader tech stack, supporting HRIS tools built on top of Workday and partnering with Payroll and other internal and external stakeholders for smooth data flow and a unified user experience. Payroll partnership and delivery Partner with Payroll: Act as the primary technical partner for the Payroll team, tran

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Nuro
📍 Mountain View• Full-time• From $176.4K/yr
1mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role As a Senior/Staff Software Engineer working on driving behavior verification, you are responsible for implementing metrics that evaluate the end-to-end behavior of the Nuro Driver. These metrics will be used to quantify the safety of the driving behavior in our target ODD. This requires prior experience with the development or verification of behavior planning/prediction systems for robots, and a collaborative nature to work closely with a variety of teams across Nuro: Systems, Onboard Software, Simulation, Product, and Operations. About the Work Develop and implement in Python generalizable metrics to verify the driving behavior of an autonomous vehicle. Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior. Evaluate these metrics on a variety of tests: synthetic and log simulation, on-road logs, closed-course testing data, and third-party acc

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F
22 days ago

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Be part of a trading systems engineering team, dedicated to building out the core trading platforms. Work closely with cross functional teams to improve the system reliability, scalability and security. Engage in and improve the quality supporting the platform. Build and manage systems, infrastructure and applications through automation. Provide operational support to internal teams working on the platform. Work on improvements to bring in high efficiency, reduce latency, deploy systems faster. Practice sustainable incident response and blameless postmortems. Together with your engineering team, you will share an on-call rotation and be an escalation contact for service incidents. Implement and maintain rigorous security best practices across all infrastructure, with a focus on minimizing attack surface and ensuring data integrity. Monitor system health and performance with a keen eye for identifying and resolving issues before they affect trading activity. Manage user queries and service requests (often requiring in depth analysis of the technical and/or business logic of our systems). Proactive approach to problem analysis and resolution of production incidents. Manage Issue tracking and prioritisation of day to day production incidents. Manage platf

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B
22 days ago

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you'll do As a Senior Software Engineer on the Accounting Engineering team, you will build the platform and product surfaces that turn Brex activity into accurate, usable accounting data. Accounting is a core component of our product offering and often a strategic differentiator. Your focus will be the systems finance teams depend on to close their books: reusable accounting records, rules, and mappings, reliable ERP integrations with NetSuite, QuickBooks, Xero, and others, and AI-native automation that predicts accounting w

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M
Mongodb
📍 San Francisco• Full-time
1mo ago

Join our MongoDB Search Systems Engineering team at the forefront of building next-generation database infrastructure at scale. You'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come. In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles. What Makes This Role Unique: This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value—this is your role. This role can be based out of our San Francisco office or remotely in USA region. Role Responsibilities Contribute to the Future of Search Infrastructure: Drive the long-term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI-native applications to build conviction around platform investments 12–18 months ahead of market demand Champion the Customer & Innovation: Act as the voice of customers building mission-critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in

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R
Roblox
📍 San Mateo• Full-time• From $221.4K/yr
1mo ago

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. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY AUTHENTICATION & SECURITY? Authentication & Security sits at the intersection of trust, product, and growth. The team builds the systems that allow users to sign in, recover, and protect their accounts with confidence, while defending the platform against account takeovers, credential abuse, and fraud at massive scale. This role is an opportunity to shape a high-stakes product area where small changes in friction or protection can meaningfully affect sign-ups and user frequency. You will act as a strategic leade

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N
19 days ago

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable "flight recorder" for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as "Hardware Fault," "Software Bug," or "Environment Issue." This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define "signals of impending failure," enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6+ years in systems programming. Experience building automated

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T-
22 days ago

About the Role: Tubi's content platform is the engine behind one of the largest free streaming services in the world. Every play, every deal, every creator, every frame of video flows through systems CPE owns, and the surface area is enormous. Distributed services running on the hottest path of Tubi's traffic. Video pipelines processing one of the largest workloads in streaming. Workflow engines automating the operations that used to consume entire teams. Creator-facing products turning a back-office process into a real platform. And on top of all of it, an AI-native rebuild of the CMS that most companies aren't willing to attempt. This isn't a single-domain role. It's a platform where backend, frontend, video, infrastructure, and applied AI all collide at the scale where decisions actually matter, where an architectural choice ripples across millions of titles and billions of requests, and where the difference between "good enough" and "great" shows up in revenue. We're looking for builders who want to range across domains — backend one quarter, frontend the next, applied AI the one after that — and who want their work to be felt: by viewers when a title plays instantly, by creators when they go live the same day, by Content Ops when a workflow runs itself, and by the business when the platform stops being a cost center and starts being a force multiplier. The infrastructure is already there. The mandate is already there. What's missing is the people who want to build the thing, not talk about it. Come build it. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: You'll work on systems that sit at the heart of Tubi's business, where the content pipeline meets the viewer, the creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all running at

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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: Agencies decide what gets planned, pitched, and bought. This role exists to make X the default recommendation inside those rooms. You own the agency system and the commercial architecture for Global Brands across APAC. That means holding-company and regional leadership in Singapore and India — and, as a hiring requirement, the Business Directors, Client Directors, and Account Directors who write the plans and clear the buys. A C-suite network without working-level relationships is not sufficient for this role. You will structure commercial deals, navigate complex agency structures, and create the conditions for the sales tea to win more spend. This is a senior individual-contributor role. You will operate independently, set your own map, and be accountable for agency-sourced revenue influence and partnership quality. You will work as a peer with the Global Brand sales team — close partnership, distinct ownership. This role reports to the Head of Global Brands, APAC. RESPONSIBILITIES: Build and run the agency development plan for Global Brands across APAC — covering holding companies, regional hubs in Singapore and India, operating companies, and key independents. Develop strategic relationships at two levels, b

aigorust
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As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

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M
Mongodb
📍 Toronto• Full-time• From C$137K/yr
1mo ago

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

javamongodbaws
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M
Mongodb
📍 New York• Full-time• From $126K/yr
1mo ago

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

javamongodbaws
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O
1mo ago

About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting function that spans infrastructure, applied engineering, legal, policy, and product. Technical Program Managers (TPMs) play a critical leadership role in aligning teams and delivering execution at scale and this role will be foundational in shaping how we secure OpenAI’s systems, users, and commitments. About the Role We’re seeking a Senior Technical Program Manager to drive cross-functional security, privacy, IT and compliance initiatives at the intersection of infrastructure, product, and policy. You will execute complex programs that reduce internal data access, prevent misuse, and ship security capabilities. You will focus your efforts on the most critical initiatives within Security, crossing the spectrum of insider threat, information security, physical security, and information technology challenges. This role is deeply technical and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to scale trust, governance, and security across OpenAI’s systems and products. In this role, you will: Drive execution of critical security and compliance programs such as vulnerability management, merger and acquisition security and integration, infrastructure hardening, and datacenter security management. You will need to deeply collaborate on technical architecture and resolve technical problems in partnership with engineering. Partner with IT, Infrastructure, Application, Legal, Privacy, and Security teams to build scalable programs, and deliver critical security outcomes across multiple disciplines, including insider threat, information

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RI
RapidFort, Inc.
📍 Reunion• Full-time• From $130K/yr
22 days ago

Senior Container Security Engineer – CVE Remediation & Image Hardening About the Role We are looking for a hands-on Senior Container Security Engineer to lead vulnerability remediation and image hardening across Linux-based container environments. This role focuses on deep operating system and container security engineering rather than simple vulnerability scanning. You will analyze, remediate, rebuild, harden, and continuously optimize container images used in modern cloud-native platforms. You will work closely with platform engineering, DevOps, infrastructure, and security teams to build automated remediation pipelines, reduce the attack surface, and deliver production-ready hardened images. What You’ll Do - Own end-to-end CVE remediation across Linux-based container images. - Analyze vulnerabilities across OS packages, libraries, runtimes, and dependencies. - Patch, rebuild, validate, and maintain hardened container images at scale. - Reduce attack surface by removing unnecessary packages, binaries, services, and dependencies. - Build and scale automated remediation pipelines for continuous image patching. - Improve image security posture while minimizing operational disruption. - Generate, validate, and maintain SBOMs to support supply chain visibility and compliance. - Integrate remediation workflows into CI/CD and GitOps pipelines. - Optimize image size, startup performance, and operational efficiency. - Research emerging Linux, container, Kubernetes, and software supply chain threats. - Troubleshoot complex dependency, package compatibility, and runtime security issues. - Help define internal standards for hardened images and secure software delivery. What You Bring - 5+ years of experience in Linux systems engineering, platform engineering, DevSecOps, security engineering, or SRE. - Deep understanding of Linux distributions (Debian, Ubuntu, Alpine, RHEL). - Strong hands-on experience with Docker, Kubernetes, and

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SA
Scale AI
📍 San Francisco• Full-time• From $151.2K/yr
22 days ago

Scale's mission is to develop reliable AI systems for the world's most important decisions. We provide the high-quality data that powers the world's AI models, and we help enterprises and governments build, deploy, and oversee AI applications that create real impact. As Communications Manager, Corporate and Product, you will help shape how Scale shows up when it comes to our work building enterprise AI, spanning company narrative, product launches, partner communications, media presence, and executive visibility. This role is centered on translating complex enterprise AI deployments and partnerships into clear, compelling narratives that resonate with business and vertical industry audiences. A core focus of the role is pitching and positioning Scale's enterprise wins, product launches, and customer partnerships, including how organizations across industries are using Scale's Generative AI Platform to build, deploy, and oversee AI applications that create real impact. You will also work closely with communications counterparts at partner companies to align messaging and coordinate joint announcements. You will help tell the story of how Scale's enterprise business powers mission-critical AI programs for the world's most consequential organizations, from Fortune 500 companies to leaders across every major industry. In this role, you will partner closely with enterprise product leaders and go-to-market teams, as well as teams across communications, social, and marketing. You will play a key role in strengthening Scale's reputation with enterprise customers, industry analysts, and the broader technology ecosystem. This position reports directly to the Head of Corporate & Product Communications. You Will Support corporate and product communications initiatives with a strong emphasis on Scale's enterprise business, including customer and partnership announcements, product launches, executive visibility, and industry positioning. Help translate co

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