It Systems And Security Engineer Jobs

About the role The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness:

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Fullstack Software Engineer on CLEAR’s Healthcare team, you will build and scale secure, interoperable identity and data solutions that connect patients, providers, and partners. You’ll operate at the intersection of modern web platforms, healthcare interoperability standards, and high-assurance identity systems powering frictionless, trusted healthcare experiences nationwide. A brief highlight of our tech stack: Python / React / Typescript AWS cloud What you’ll do: Design and deliver secure, scalable fullstack solutions that integrate with enterprise EHR systems and national health information exchange frameworks Build and maintain healthcare data integrations leveraging FHIR (RESTful APIs/JSON) and HL7 v2 messaging to enable compliant, real-time data exchange Develop identity resolution and patient matching capabilities using identifiers such as MRNs and NPIs to ensure integrity across disparate clinical systems Partner with Engineering, Security, Product, and Health Information Management teams to implement compliant, audit-ready workflows for regulated healthcare processes Collaborate with external vendors (e.g., Epic Technical Services) to troubleshoot integration issues, manage deployments across TST/PRD environments, and ensure production reliability How you’ll measure success: Successful delivery and stability of FHIR/HL7 integrations across healthcare partners Reduction in data integrity issues related to patient matching and identity resolution High system uptime and successful production deployments across tiered

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta’s new Enterprise Resilience team is being formed to support the next era of growth by powering services that are reliable, scalable, and resilient by design. As our customer base expands and our systems scale, we need a dedicated group focused on partnering closely with product engineering teams to build and operate robust distributed systems across all of Vanta’s environments, including our new FedRAMP deployment. In this role, you’ll help define the foundations of reliability at Vanta including shaping best practices, building core infrastructure, and guiding teams as they design services that perform consistently for customers. This team will have a broad and deep impact across product engineering. Your work will influence how every Vanta engineer builds, deploys, monitors, and maintains their services, whether for our commercial environment or regulated customers with more stringent requirements. You’ll develop tools and frameworks that make it easier to detect and remediate issues, improve operational readiness, and support feature development that meets the needs of increasingly large and complex enterprise customers. Vanta engineers design and develop new product functionality and infrastructure using modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, GitHub Actions, and AWS services such as Fargate and ECS. If you're excited to help define a new function, raise the reliability bar across an entire engineering organization, and build systems that scale with Vanta’s growth, we’d love to meet you. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role As a Hardware Engineering Intern at Verkada, you’ll contribute to the design and development of new cameras, access control systems, sensors, and other enterprise IoT products. Verkada’s Hardware Engineers own all aspects of the electrical design from prototype through to mass production. You’ll make a big impact — your designs will be a part of future products that Verkada ships. This is a full-time internship, in-person role based in our San Mateo, CA office. What You'll Do Partner with experienced engineers to design, debug, and validate our hardware products. Design and execute experiments to test new circuit concepts. Schematic capture and layout for systems and/or test boards. Learn to work with our manufacturing partners to drive ongoing improvements to efficiency. What You Bring Pursuing a degree in Electrical Engineering or

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Work cross-functionally with hardware team to develop camera features in C/C++ and Python. Lead code reviews, debugging, and bug fixes. Experiment/test with new development boards. Make regular contributions to existing code base to push new features OTA on a frequent basis. What You Bring BS/MS in Computer Science (or similar degree) 5 years of experience of full-time Embedded Software development Proficient in at least one system programming language, such as C, C++, Golang, Rust Minimal of 2 years of full-time system software development for Linux-based platform Great knowledge on modern operating systems and computer architecture Familiar with Bash scripts and Python Good communication & documentation skills Must be willing and able to work onsite five days per week Nice to Have Experience in development of on-device softwar

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Work cross-functionally with hardware team to develop camera features in C++ and Python. Lead code reviews, debugging, and bug fixes. Experiment/test with new development boards. Make regular contributions to existing code base to push new features OTA on a frequent basis. What You Bring BS/MS in Computer Science (or similar degree) 5+ years of experience of software development for Linux in System Programming Languages (C, C++, Rust, etc) Proficient in modern C++ Experience in embedded development or experience with low-level system software development. Good knowledge with operating systems and computer architecture. Familiar with at least one scripting language (Python, Bash, etc). Good communication & documentation skills. Must be willing and able to work onsite five days per week Nice to Have Experience in Machine Learning

Transform technology into opportunity as an F5 Administrator at Leidos. You will play a crucial role in configuring, maintaining, and troubleshooting F5 load balancing and traffic management systems to ensure high availability, reliability, and performance of critical applications and services for USCENTCOM on the CITS contract. The F5 Administrator is responsible for the configuration, deployment, and maintenance of F5 BIG-IP systems, ensuring the optimal performance, security, and availability of critical applications. This role involves hands-on technical work, troubleshooting complex F5-related issues, and collaborating with various IT teams to integrate F5 solutions within the broader network and infrastructure environment. The F5 Administrator will contribute directly to the mission success of USCENTCOM by maintaining robust and efficient application delivery services. Primary Responsibilities: F5 System Configuration & Maintenance Configure, deploy, and maintain F5 BIG-IP systems, including Load Balancers, Application Delivery Controllers (ADCs), and SSL offloading configurations. Design and implement traffic management rules, including global server load balancing (GSLB) and local server load balancing (LSLB). Manage F5 configurations for SSL/TLS offloading, including key and certificate management for secure communication. Configure and maintain F5 iRules to manage application traffic and provide enhanced functionality for specific use cases. Assist in performing F5 system upgrades, patches, and troubleshooting tasks to ensure continued system functionality. Assist in the design and implementation of new F5 solutions to improve application delivery, scalability, and security. Troubleshooting & Performance Optimization Troubleshoot and r

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-functionally with Hiring Operations, Recruiters, Data, Security, Privacy, and other technical and non technical partners to turn complex recruiting processes into reliable datasets, dashboards, and operational tools. The ideal candidate enjoys working at the intersection of data engineering and business operations. You will be expected to understand how recruiting workflows generate data and build practical solutions that improve day to day operations. This role is well suited for someone who can move fluidly between building a pipeline, debugging an integration, creating a dashboard, documenting an operating procedure, and helping stakeholders understand how to use the resulting tool. Core Responsibilities Build, maintain, and improve datasets and pipelines supporting Recruiting Integrate data from systems such as Lever, Workday, Foundry, and other recruiting systems Develop reporting datasets and dashboards for recruiting performance, candidate pipelines, recruiting programs, and operational audits Evaluate existing data integrations for opportunities to reduce latency and implement necessary changes Partner with central Data and platform teams on warehouse connections, schema changes, API behavior, and source-system migrations Support integrations between recruiting systems and internal tools including writeback of data updates Design data access and reporting solutions that respect confidentiality, role-b

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: AI Gateway gives developers one place to connect applications and agents to hundreds of models with one API key. It handles provider routing and fallbacks, unifies billing and observability, and lets teams manage spend and security controls across production AI workloads. Designing this well is a systems problem. A developer should be able to choose the right model, make and verify a first request, diagnose a failed request, and configure routing, budgets, credentials, and security controls without losing sight of the application they are trying to build. The right interface might be in the dashboard, on the public model catalog, in the CLI, in an API response, or in code. You will be the Design Engineer for AI Gateway, owning product design and frontend implementation across those surfaces. You will work with customers, a Product Manager, and engineers to understand the problem, explore solutions, build the production experience, ship it, and learn from what happens after launch. AI Gateway is live, the model ecosystem changes every week, and the team can move from an observed problem to production quickly. This is a rare chance to use your product judgment, design craft, and code to shape a developer product and ship the experience yourself. You will be the design owner embedded with a Product Manager and a dedicated engineering team. You will also have the Product Design team around you for critique, collaboration, and support. AI Gateway will be your main product area, with room to pursue design-led improvements across Vercel.

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Vendor Monitoring Data team focuses on gathering external data and conducting risk analysis as part of Vanta's Vendor Risk Management (VRM) product. Our work provides comprehensive insights that help customers mitigate third-party risks effectively. As a Senior Fullstack Engineer, you'll drive complex projects across our technical stack while mentoring our talented engineering team. This role offers a unique opportunity to delve into a hyper-focused subject area: external attack surface scanning. You'll tackle unique technical challenges and contribute directly to Vanta's impact by helping customers continuously and comprehensively monitor risks across their vendor supply chain. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Fullstack Engineer, Vendor risk management at Vanta: Identify, scope, and lead large technical projects, laying the groundwork for core products to evolve and scale into highly performant, reliable, and customizable systems Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Engineer sophisticated monitoring and alerting systems to guarantee the reliability, speed, and integrity of our security data pipeline. Collaborate with security researchers to rapidly deploy new scanning techniques and

JOB TITLE Systems Analyst, Workday HCM/Payroll A Career with point72’s technology TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Serve as the primary application support partner for Payroll and HR, providing expert support across compensation, benefits, absence, time tracking, and Workday Payroll, Security, and integrations, while ensuring policy and regulatory compliance. Execute ongoing system configuration changes, such as business processes, foundational data, and security model updates, and participate in the bi‑weekly Agile sprint development process for Tier 3 requests and feature enhancements, adhering to SDLC methodology and Workday Change Management protocols. Architect and design end‑to‑end solutions that include Workday configuration, integrations, and downstream system impacts, working closely with integration and platform engineering teams. Collaborate with stakeholders to gather and document business requirements, translate them into tech

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Python / Postgres / Snowflake / dbt AWS SageMaker and MLflow What you'll do: Own and drive the foundational work of a ML system at CLEAR Design, build and deploy ML models for various applications, such as document and image processing, fraud detection. Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Expertise in best practices for feature enginee

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. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. The Vendor Monitoring Data team focuses on gathering external data and conducting risk analysis as part of Vanta's Vendor Risk Management (VRM) product. Our work provides comprehensive insights that help customers mitigate third-party risks effectively. As a Senior Fullstack Engineer, you'll drive complex projects across our technical stack while mentoring our talented engineering team. This role offers a unique opportunity to delve into a hyper-focused subject area: external attack surface scanning. You'll tackle unique technical challenges and contribute directly to Vanta's impact by helping customers continuously and comprehensively monitor risks across their vendor supply chain. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Senior Fullstack Engineer, Vendor risk management at Vanta: Identify, scope, and lead large technical projects, laying the groundwork for core products to evolve and scale into highly performant, reliable, and customizable systems Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Engineer sophisticated monitoring and alerting systems to guarantee the reliability, speed, and integrity of our security data pipeline. Collaborate with security researchers to rapidly deploy new scanning techniques and

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta’s Developer Experience team builds the tools engineers use every day to bring ideas to production rapidly and reliably. You’ll empower other Vanta engineers to leverage cutting-edge technologies and best practices to make Vanta more performant and scalable on a platform level. Example projects include modernizing our CI/CD pipelines, introducing new test frameworks, launching AI-powered dev tools, and scaling developer environments to support a growing engineering team. This team has a wide breadth of impact across all of product engineering. The work we do compounds in value by making it easier for engineers to diagnose and solve bugs, streamline workflows, and ship value to our customers quickly and safely. Vanta engineers design and develop new product functionality and infrastructure leveraging modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, Github Actions, and various AWS services such as Fargate and ECS. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. We’d love for you to join us! You will: Set direction for critical dev infrastructure, enabling us to stay ahead of continued rapid growth Design and build CI and build systems that ensure Vanta engineers can develop and ship robust products quickly and confidently Improve the efficiency and reliability of our deployment workflows, including tools for hotfixes, rollbacks, and incident mitigation Lead development of tools that accelerate feedback loops — from typechecking and linting to running tests and deploying changes Build and maintain scalable developmen