Manager Systems Design And Architecture Jobs

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way. 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: Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch Guide customer onboarding through co-development working sessions and assist when they run into roadblocks Write automation and design architecture for deployment templates Manage the operation of implementation projects Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience Who You Are: Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes). Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc… Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures Successful track record with 6+ years exper

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way. 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: Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch Guide customer onboarding through co-development working sessions and assist when they run into roadblocks Write automation and design architecture for deployment templates Manage the operation of implementation projects Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience Who You Are: Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes). Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc… Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures Successful track record with 5+ years exper

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. We are looking for a technical manager to lead, scale, and evolve our ServiceNow platform. You will champion a strategic vision for a platform supporting 7,000+ users, balancing deep technical acumen with people leadership to drive platform innovation and deliver complex, high-value initiatives. As the primary technical authority, you will navigate ambiguous priorities to translate business needs into robust, scalable, and secure architecture. By mentoring a high-performing team and fostering a culture of technical excellence, you will ensure our ServiceNow ecosystem remains a resilient, long-term asset aligned with Toast’s enterprise strategy. A day in the life (Responsibilities) Define and Drive the long-term platform vision and technical strategy, ensuring alignment business needs and scaling requirements. Architect data-driven roadmaps that prioritize high-value automation, platform UX/UI optimization, and the integration of emerging AI capabilities (NowAssist, Virtual Agent, MCP Integrations). Hands-on execution, configuration, and customization of the platform while leading the technical architecture and engineering of the ServiceNow ecosystem, governing system design, integration frameworks, and data-driven platform optimizations. Direct the full product lifecycle for ServiceNow modules, aggressively managing technical debt and balancing new feature velocity with platform stability. Establish and enforce rigorous performance metrics and service level agreements across all ServiceNow workflows to ensure optimal system responsiveness and user productivity. Oversee structural integrity through security hardening, biannual upgrade cycles, and hands-on guidance for Flow Designer and IntegrationHub development, and Performance management. Act as the primary technical au

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . Location: Banja Luka, Bosnia and Herzegovina (primary) or Belgrade, Serbia What You’ll Do: As a Senior Security Engineer, you will own the security architecture and enforcement across our infrastructure. Our infrastructure relies heavily on a Linux ecosystem, and as we scale our cloud footprint and AI initiatives, this layer is becoming increasingly security-sensitive. You will be embedded directly with the teams operating these systems, bridging the gap between high engineering velocity and secure-by-design architecture. Your core mandate is to protect production, harden our Linux environments, establish AI guardrails, and build secure access patterns without creating process overhead. This role will report to the Sr Director, Infrastructure and Networking and will be a hybrid role based out of Banja Luka, Bosnia. Linux Hardening & Threat Detection: Secure our underlying Linux infrastructure and container runtimes. Deploy, tune, and manage our SIEM for continuous threat detection, file integrity monitoring, and host-based intrusion detection (HIDS) across our fleet. Identity & Access Control: Design and enforce secure access patterns. Ruthlessly eliminate shared accounts, long-lived credentials, and overly broad permissions across the organization. Cloud & Infrastructure Governance: Own the security posture across our cloud environments. Implement secure infrastructure-as-code practices using Terraform an

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for a skilled and motivated Principal Software Engineer who is passionate about continuous learning and eager to grow along with us in a fast-paced, innovative environment. You will work remotely from Bulgaria and will be reporting to an engineering leader located in Bulgaria. You Will: Lead the design and implementation of Smartsheet's next-generation architecture, ensuring scalability, security, and performance for millions of global users. Define and drive architecture strategy, making key technical decisions that shape the future of the platform. Review and guide technical project designs, providing feedback during design review presentations to ensure system resilience and scalability. Take ownership of cross-functional technical initiatives, aligning teams around common architectural goals while driving large-scale projects to completion. Foster strong technical leadership, mentoring senior engineers and influencing best practices across multiple engineering teams. Lead deployment reviews for high-impact projects, ensuring they meet scalability, performance, and security requirements. Collaborate closely with product management and other business stakeholders to balance market needs with technical constraints, driving innovation while maintaining technical rigor. Advocate for quality and operational excellence, ensuring systems are monitored, tested, and maintained to meet the highest reliability standards. Perform other duties as assigned. You Have: Proven experience in system architecture and the d

About the job Define how Graphcore tests complex hardware before it reaches production and the field. As Principal Board Test Engineer, you will lead advanced manufacturing test strategy for complex Circuit Board Assemblies. You will shape how Graphcore improves defect coverage, diagnostic resolution and production quality. Your work will influence products, test architectures and manufacturing partners. You will define methods, evaluation criteria and technical approaches that help PTD move faster with confidence. You will design and direct test strategies across optical inspection, X-ray inspection, in-circuit test, boundary scan and functional test. You will turn complex issues into clear decisions for engineering, suppliers and CEM partners. This is a senior technical role with real ownership. You will set direction, mentor engineers and help Graphcore build stronger test capability for future products. The Team and Culture The Product Test and Diagnosis team detects, diagnoses and manages hardware defects across chips, boards and full systems. The team works close to design, manufacturing, silicon, software and systems engineering. Work moves through hands-on investigation, clear technical judgement and direct ownership. You will be expected to act fast, speak up and take responsibility for test strategy decisions. Decisions are shaped by evidence, design intent and manufacturing reality. You will help the team think big, challenge assumptions and raise engineering standards across disciplines. What we’re looking for · Deep expertise in manufacturing test for advanced, high-complexity Circuit Board Assemblies. · Strong knowledge of electronics fundamentals, CCA manufacturing processes and defect mechanisms. · Expertise in JTAG 1149.x boundary scan, iJTAG and embedded or processor-controlled functional test. · Experience architecting, programming and debugging bed-of-nails MDA/ICT and board-level test systems. · Capability to define test methods, evaluation fram

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. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin

GAQ127R41 Location: San Francisco, CA (Hybrid) About the Role At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure) , you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions , managing both GitHub-hosted and self-hosted runners for specialized build requirements. Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production

About LeafLink LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. We are one platform, one solution and we’re defining the way thousands of cannabis brands, distributors, and retailers streamline their operations. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together. LeafLink processes more than $5 billion in wholesale cannabis orders annually. Our team, backed by funding from leading VC's, including Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau is poised to define the cannabis supply chain through technology. LeafLink was named one of Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’; one of Fast Company's 'Top 10 Most Innovative Companies in Enterprise for 2020', joining the ranks of Amazon, Slack, and VMWare; one of Built In NYC's 'Best Places to Work in 2021'; 2024 Fast Company’s Best WorkPlaces for Innovators for Banking, Finance, and Fintech category; 2024 Green Market Report Award for Best Fintech in cannabis - and we're just getting started! The Role LeafLink is seeking a Staff Data Engineer to help lead the evolution of our data platform and analytics infrastructure. This role will design and scale systems that power analytics, reporting, and operational insights across the organization. Staff Data Engineers influence how data is modeled, moved, and consumed across the company. This role partners with engineering, finance, product, and operations teams to ensure the data platform remains reliable, scalable, and capable of supporting critical decision-making. What You’ll Be Doing Design and lead development of scalable data pipelines using Airflow, dbt, and Python. Guide architecture and evolution of the company data platform. Build integrations across modern dat

We are seeking a hands-on Senior Workday Platform Engineer within the G&A IT Applications team to serve as the primary technical owner of the Workday platform across HCM, Payroll, Recruiting, Prism Analytics, Illuminate (AI/ML), integrations, security, and release management. This is a builder-first role. You will configure, develop, integrate, and operate within Workday while partnering closely with HR, Payroll, Finance, and IT stakeholders. You own the technical platform layer configuration, integrations, security architecture, governance, and release discipline, while HR and Payroll retain ownership of sensitive data and business policy logic. Key Responsibilities Platform Ownership & Delivery: Own technical execution across Workday HCM, Payroll, Recruiting, Prism Analytics, and Illuminate. Translate business requirements into phased technical delivery plans. Manage sandbox strategy, tenant lifecycle, and biannual release readiness. Hands-On Configuration & Development: Configure HCM and Recruiting modules.Build advanced reports (matrix, composite, BIRT), calculated fields, validations, and business process frameworks. Leverage Workday Extend to design and build lightweight custom applications that enhance core workflows. Maintain scalable security models and governance standards. Integrations & Architecture: Build and maintain integrations (EIB, Studio, REST/SOAP APIs, RaaS). Integrate with applications like ERP, identity providers, benefits carriers, and third-party systems. Ensure secure, reusable integration frameworks with monitoring and error-handling discipline. Analytics, AI & Automation: Implement and manage Workday Prism Analytics datasets and dashboards. Enable Workday Illuminate capabilities and intelligent workflows. Drive automation while maintaining audit and compliance standards. Security & Compliance: Own Workday security architecture and least-privilege acc

Citibank, N.A. seeks an Applications Development Tech Lead Analyst for its Tampa, Florida location. Duties: Responsible for source code review to ensure it satisfies good coding practice. Coordinate all communication between tech team and Ab Initio vendor, including scheduling and chairing weekly meetings. Responsible for reconfiguration and reengineering to optimize performance. Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. Prepare reports or correspondence concerning project specifications, activities, or status. Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Manage the hardware infrastructure and monitor the performance metrices E2E. Identify areas of growth need and proposal scale up activities. Execute on scale up activities by submitting procurement requests, manage regular calls with the deployment team and plan go live/switch activity. Develop shell scripting code base to support the job executions, interactions between systems. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor’s degree, or foreign equivalent in Information Technology, Engineering (any) or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Associate Director – Data Engineering, Senior Consultant, Data Specialist, Assistant Systems Engineer or related position involving gathering new business requirements, architecture, analysis, estimation, design, implementation, and leading a team of software developers and software development. 6 years of experience must include: Experience with AbInitio Data Processing (SME), Data Modeling

Job Title Principal Electrical Engineer- Medical Device Job Description As a Principal Electrical Engineer, you will be part of the multidisciplinary IntraSight Hardware Team, contributing to innovative imaging clinical solutions. You will serve as the key technical interface between Philips and external suppliers, design partners, and contract manufacturers for PCBA development, ensuring high-quality, reliable, and cost-effective electronic designs that meet performance, safety, quality, and regulatory requirements. Your role Serve as the primary electrical engineering interface to suppliers, design partners, and contract manufacturers, providing technical leadership for PCBA design, development, prototyping, and industrialization. Drive alignment on electrical requirements, schematics, PCB layout, architecture, acceptance criteria, timelines, cost, and quality. Lead supplier selection, technical evaluations, design reviews, and issue resolution in partnership with sourcing, procurement, and cross-functional engineering teams. Review and approve schematics, PCB layouts, and design documentation to ensure alignment with Philips standards and system architecture. Drive design for manufacturability (DFM), design for testability (DFT), design for cost (DFC), and component selection strategies while considering availability, lifecycle, obsolescence, and overall product cost. Manage supplier change requests and mitigate component and PCBA lifecycle risks. Oversee PCBA verification and validation, including functional, signal integrity, power integrity, electrical safety, and EMC testing, ensuring compliance with applicable medical device standards such as IEC 60601-1 and IEC 60601-1-2. Partner with quality and regulatory teams to ensure suppliers meet required quality systems, documentation, and regulatory expectati

Opportunity Overview: As a Staff Applied Scientist, you will play a critical technical leadership role on Cohere Health’s AS team, with a primary focus on powering and scaling machine learning capabilities across our products. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams. In this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and design and evaluate ML systems that directly impact how members and providers experience Cohere Health at the front door of care. This role blends deep hands-on technical work with strategic influence, mentorship, and ownership across multiple work streams, while contributing to broader ML initiatives. What you’ll do: Design, develop and evaluate advanced machine learning systems for retrieval, classification, prediction, and generative use cases. Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets. Lead model development across the ML lifecycle, including experimentation, training, evaluation, partnering with AI engineering to support deployment, monitoring, and iteration. Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions. Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes. Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership. Serve as a