Manager Systems Design And Architecture Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. What you'll do: Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Co

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Snowflake Architect in Data Solutions, you'll lead pre-sales, estimation, scoping, design, and delivery of modern analytics solutions on Snowflake. You'll act as a hands-on architect and delivery lead on your own projects, while also providing technical guidance and people leadership to team members deployed across multiple client engagements. Architecture & Delivery Own end-to-end Snowflake solution architecture: data modeling, warehouse sizing and cost optimization, RBAC/security design, data sharing, and performance tuning Lead the data engineering lifecycle - research, POCs, architecture, design, development, testing, deployment, and maintenance Design and build POCs for modern analytics stacks across cloud-based business systems for prospective clients Translate client business needs into technical solution designs and actionable recommendations for platform, structural, or logic issues Manage day-to-day technical relationship with client stakeholders on active engagements Pre-Sales Lead technical workstreams in pre-sales: estimation, scoping, solution proposals, and orals/proposal defense sessions Partner with other practices on cross-functional solution plays and pre-sales activity Support sales cycles by leading solution presentations and building POCs for prospective clients People & Team Leadership Manage, mentor, and

About the Role Natera is a global leader in cell-free DNA testing, serving patients across oncology, women’s health, and organ health. Our Data & AI organization builds the enterprise data platform and AI systems that turn clinical, genomic, and operational data into products that improve patient care and accelerate the business. We are looking for a Data & AI Engineering Tech Lead to set the technical direction for a solutions team that builds analytics and AI solutions directly for business stakeholders: data and AI pipelines, data models, semantic layers, and the agents, dashboards, and data products that sit on top of them. This is a hands-on, senior individual contributor role: you will write production code, own architecture and design decisions for the solutions your team delivers, and raise the engineering bar through design leadership, code review, and mentorship. This team is AI-native by design. We expect engineers to use AI coding harnesses and agentic tooling as a core part of how they build, test, document, and operate solutions, and we expect the Tech Lead to model and scale those practices across the team. You will work in a regulated environment where data quality, lineage, and privacy are core requirements of every solution we ship. The ideal candidate is a strong engineer first, with a product mindset toward business outcomes, the judgment to make pragmatic architectural tradeoffs, and the communication skills to align engineers, product managers, and business stakeholders around them. Key Responsibilities Technical Leadership & Architecture Own the technical design and architecture for the analytics and AI solutions your team delivers; drive design reviews and make build-vs-buy and technology decisions in partnership with the data platform and architecture teams. Translate business stakeholder needs into well-scoped technical designs, breaking down complex analytics initiatives into deliverable milestones for the team. Establish and e

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. What you'll do: Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capab

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer. Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our develo

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You’ll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS , from technical design through release and production support. Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security. Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration. Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions. Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment. Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices. These are the essentials you’ll need to get an interview: 5 to 8 years of professional software engineering experience delivering production systems in an agile environment. Strong backend development s

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We're looking for a Salesforce Architect to own the architecture of Lyft's commercial platform as it grows through acquisition. Reporting to the Manager, Sales Technology, you will define the target-state architecture across our Salesforce orgs, lead the consolidation of acquired-company CRM environments into Lyft's platform, and decide where data is unified versus federated. You'll work directly with Sales, RevOps, Marketing, Finance, Data, Privacy, and Legal partners to turn a reactive delivery function into a business enabler. If you are a candidate who has the vision of what could be, who has the ability to cultivate relationships, and a belief in developing the skills and talents of others, then you may be the ideal person for this position. Responsibilities: Drive enterprise wide programs articulating program/project strategies on enabling technologies leveraging the Salesforce Platform. Identify and drive the Lyft’s organizational needs for Salesforce foundations, define the business or technology architecture, plan how large projects will be delivered, oversee the solution design and implementation. Effectively drive user experience and design strategies across Enterprise for platform adoption. Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a program level, using influence and adaptive communication strategies. Lead large cross-team system design discussions, offering alternate choices, trade-offs, and impact analysis with a focus on long-term solutions. Provide guidance on application and integration development best practices, Enterprise Architecture standards, and functional/technical solution architecture, including environment management, testing of the Salesforce Platform. Provide evidence-based design patterns for develop

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast is seeking a Senior Security Engineer to design, implement, and operate enterprise Data Loss Prevention and Secure Access Service Edge capabilities. The role will reduce data exfiltration risk, enable secure access to web, SaaS, private applications, and cloud services, and improve security coverage. You will be a senior individual contributor and subject matter expert, within the Enterprise Security team and will closely partner with IT, Network Engineering, Legal, Privacy, Compliance, and application owners. Success requires hands-on engineering, design, operational ownership, and clear risk communication. A day in the life (Responsibilities) Data Loss Prevention Engineering Own the DLP engineering roadmap and control lifecycle, from requirements and architecture through proof of concept, testing, phased deployment, tuning, operations, and continuous improvement. Design and operate controls for sensitive data across managed endpoints, email, web and network channels, SaaS and collaboration applications, cloud environments, and data repositories. Build and maintain data discovery and classification logic using sensitive information types, regular expressions, data matching, document fingerprinting, OCR, and machine learning where appropriate. Translate requirements into precise policies and response actions with documented exceptions. Establish safe policy rollout practices with test cases, pilot groups, change control, user impact analysis, exception review, and measurable acceptance criteria. Triage and investigate DLP alerts and incidents, determine root cause and business context, coordinate containment and remediation, and reduce false positives without weakening protection. Integrate DLP with SASE services, SIEM/SOAR platforms, MDM, ticketing systems, data classif

Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Solve some of the team’s toughest technical problems and build solutions that hold up as the product grows. Partner with product managers, architects, and other engineers on technical approach and planning, contributing perspectives that can extend beyond your immediate area when it’s useful. Act as a go-to technical resource for complex design and architecture questions, helping ensure solutions hold up against business needs, compliance standards, and long-term maintainability. Take ownership of the most complex technical issues that come up in your systems, driving root cause analysis and fixes that hold up over time. Mentor other engineers through code review, design discussions, and everyday guidance, helping raise the technical bar around you. Bring a high bar to your own code and design work, and help others do the same through thoughtful review and knowledge sharing. Your Opportunity: Take deep ownership of significant, technically demanding components, and help evolve core infrastructure so it stays reliable and scalable as the product grows. Work with a high degree of indepe

About the Team OpenAI’s Application Engineering team builds the internal products and platforms that help OpenAI operate securely and at scale. We engineer, own, and evolve OpenAI’s core productivity ecosystem, creating secure applications, integrations, automation, and reusable tooling where off-the-shelf software is not enough. Our work spans employee-facing experiences and the services, APIs, control planes, and governance that make them reliable, permission-aware, and scalable. We also act as a customer zero for OpenAI’s technology, building the enterprise foundations that let employees and agents safely access the context, tools, and actions they need. We partner closely with IT, Security, product teams, and platform providers to turn company-wide problems into durable systems, learn from real internal workflows, and help shape the products we deploy. We create paved paths that let teams move quickly without compromising security or operational quality. About the Role As a Staff Software Engineer on Agent Productivity, you will shape the foundation that enables teams to build agents with secure access to the context and capabilities they need. Slack will be the first and deepest implementation surface—and where you spend most of your time—owning its application architecture, integrations, APIs, governance, and administration automation while building patterns that extend to internal systems, identity platforms, and other enterprise applications. This is a hands-on engineering role with broad organizational impact as agents support more employee workflows. You will define platform architecture, build reusable foundations, and establish secure patterns for identity, permissions, connectivity, and operations that make agents easier to develop, deploy, and manage. In this role, you will: Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely, using Slack as the primary implementation surface. Design and

About the Role We are a small, fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build the product, operating systems, and capabilities that will power OpenAI’s B2B marketplace. You will define the marketplace product strategy and translate it into a clear roadmap, scalable tooling, and an operating model through which customers can discover, evaluate, purchase, deploy, and manage trusted third-party solutions built on and with OpenAI’s models. You are a senior marketplace builder with strong product judgment, operational rigor, and a track record of developing B2B platforms at scale. You are comfortable moving between product strategy, marketplace operations, commercial models, data, and systems design. You can turn ambiguous customer and partner needs into clear priorities and build the infrastructure required to support a trusted, high-quality marketplace. Key Responsibilities: Define the vision, strategy, roadmap, and success metrics for OpenAI’s B2B marketplace. Translate customer, partner, and business needs into clear product requirements and priorities in close partnership with product and engineering. Design the end-to-end marketplace experience and operating architecture, including partner onboarding, catalog management, discovery, evaluation, procurement, private offers, billing, deployment, identity, governance, and lifecycle management. Build the internal and external tools required to operate the marketplace efficiently, including workflows for solution intake, review, approval, publishing, monitoring, reporting, and issue resolution. Establish the data foundation and measurement systems needed to understand marketplace adoption, conversion, solution quality, customer trust, and overall marketplace health. Design scalable commercial models, policies, incentives, and partner economics with finance, legal, security, policy, and operations. Establish standards and operating processes for solu

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need

The MongoDB Customer Observability Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The team is responsible for MongoDB Atlas: our database-as-a-service offering and fastest-growing product, which allows users to deploy globally distributed MongoDB clusters in just minutes. We're seeking an SE3 to join our team to tackle exciting challenges within the Observability space. You'll contribute to developing tools and platforms that help our users understand the health and performance of their MongoDB deployments. This includes collecting metrics, monitoring slow queries, and offering actionable insights such as index and schema suggestions that improve the speed, efficiency, and overall reliability of their databases. This role provides a unique opportunity to drive engineering excellence across both dimensions of observability, leveraging technologies being developed within the Customer Observability group and contributing directly to the success of our customers and our product teams. If you're passionate about large-scale systems, digging deep into telemetry data, and building tools that make a real impact both internally and externally, we’d love to have you on board! We are looking to speak to candidates who are based in Dublin for our hybrid working model. We're looking for someone who Enjoys collaboration and being part of a team Is approachable, curious, and intellectually honest Is a backend engineer with a willingness to take on frontend tasks or a full-stack developer with a bias towards backend Has written backend systems in a compiled language (Java, C#, Go, etc.) Has experience with the design and architecture of a modern, scalable web application Is familiar with debugging and troubleshooting production issues Strong understanding of algorithms, data structures and their time and space complexity Nice to Haves Experience developing and writing code observability tools Previous work in T

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar Games is on the lookout for a passionate and talented Engineer to help enable safe, scalable, and effective adoption of cloud technologies across the company. This role sits within IT and acts as the technical authority for cloud platforms, bridging emerging vendor capabilities with real-world production workflows. The role focuses on evaluating cloud platforms, supporting development teams through Proofs of Concept (POCs), helping transition successful experiments into production, and ensuring strong governance around security, cost, and data protection. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. WHAT WE DO The Rockstar Games Systems Engineering Team delivers global IT systems infrastructure to the development teams. We maintain our infrastructure to the highest standard, with an emphasis on preventative actions rather than reactive. Our team constantly reviews our processes with the aim of automating wherever possible. RESPONSIBILITIES Evaluate enterprise cloud platforms and services for security, scalability, cost and enterprise fit. Maintain various on-premise systems including Kubernetes, Elasticsearch, and other Linux-based systems. Manage a catalogue of approved cloud platforms and usage patterns. Maintain documentation and support development teams in design and implementation of cloud-enabled workflows and architecture. Coordinate with Security, Operations, Infrastructure, as well as Development and Legal stakeholders on platform architecture decisions. Coordinate with Security to define guardrails around data handling, access cont