Senior Software Engineer jobs at Resilience

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

AI GPU Linux Kernal Compute - SR Staff Engineer (Data Center - CPU - IOMMU - C/C++) (No contractors) CONFIDENTIAL Publicly traded computer hardware infrastructure company with over $5 Billion in sales whose stock price has grown over 300% in the last year in support of the Ai Data Center infrastructure build-up. Company is seeking to hire several senior-level individual contributor “hands-on” software engineers that will be responsible for designing and developing software that drives next-generation high density Data Center Compute Racks, including AI GPU, CPU, and LINUX driver Kernal development. There are several newly created openings at different levels ranging from SR Engineer, Staff, SR Staff & Principal. Software Development Design and implement drivers, application software that drive next generation CPU and GPU. Develop, augment and maintain software libraries for computing on GPU. Optimize code for performance, efficiency, and low latency. Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency. Architect solutions for customers' data center management needs working with multiple lower-level drivers, OS, libraries. Hardware Integration Board bring-up and validation of all low-level interactions with hardware. Drivers to monitor the health of the board. Troubleshoot and resolve hardware-software interaction issues. REQUIREMENTS Must be willing to be a full-time employee and work 100% remote from within the USA. Role has paid vacation, paid holidays, and participation in company benefits program, and annual stock grants. Must have 10+ years of embedded software development experience, but most importantly, 3+ years of experience developing software that drives high density Data Center COMPUTE racks, including AI GPU, CPU, and LINUX driver Kernal development. Must have experience with GPU programming, and familiarity with GPU libraries like CUDA and ROCm. Must possess strong programming skills with proficiency in Embedded C/C++. Must have LINUX driver kernel development experience. Candidate should have strong experience in Linux kernel memory management, interrupts, and IOMMU. Experience with Data Center Deployments: Prior experience in data center architectures, developing and maintaining software for deployments. Must have strong experience with main elements of CPU, DPU, memory, NICs, and Board Monitoring elements. Debugging and testing skills with ability to identify and resolve software and hardware issues. Must have great English communication skills and ability to work with teams located around the globe. Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. This is a software DEVELOPMENT role. It is NOT one of the roles listed below. NO Managers. This is a HANDS-ON individual contributor, coding engineer role. NO Testing-only focused engineers.

Our client, a well-funded and successful Series B Health tech startup is searching for a Senior/Lead Software Engineer to help them build a brand new service line to add to their existing product. This is an incredibly impactful role with the chance to build a product from 0-1, & also help connect patients with life-saving clinical trials and programs! This is a hybrid role near Bryant Park in NYC - please take this into consideration when applying. They do have a dog friendly office & unlimited PTO! Responsibilities: Create a brand new software product using Node, Typescript & React Lead the entire build from design to deployment - working with a small team of developers Hands on code, as well as lead code reviews & translate requirements into roadmaps and deliverables Collaborate with GM, Director of Product and engineering team Qualifications: 6+ years of Full-stack engineering experience in Typescript, Node, & React or Next.js Experience building products from 0-1 in small teams This is a hands on coding role - some engineering leadership is great, but this person will not be a "people manager" High agency worker who thrives in autonomous environments - must be comfortable owning and managing technical roadmaps Experience designing and scaling microservices architectures in AWS, GCP, Azure Experience in Health tech is a huge plus - especially familiarity with EHR integrations Compensation for this role ranges from $190-220k + potential bonus/equity. If you are interested, please apply! This opportunity unfortunately cannot sponsor visas at this time.

Windows Application Developer (Kernel/Networking) Our client is seeking a Windows Application Developer with deep expertise in Windows kernel-level programming, networking, and enterprise security. This role focuses on building native agents for Windows (and some mac OS), leveraging WFP for firewalling, packet filtering, and enterprise VPN/ZeroTrust solutions. The ideal candidate is a true systems programmer who thrives in OS internals, networking stacks, and cross-platform agent development. Key Responsibilities Architect, develop, and maintain native Windows and mac OS agents using platform APIs, kernel interfaces, and WFP. Design and implement kernel-level networking solutions (firewalls, packet routing, VPNs, ZeroTrust). Develop Windows drivers and system components with WDK/Win32 APIs; ensure code signing and driver certification. Leverage BSD networking knowledge and mac OS Network/System Extensions for packet filtering and routing. Build cross-platform agent frameworks using Rust (40%) and Python (30%), with familiarity in Tauri/React UIs. Debug production issues including kernel crashes, driver bugs, and network failures. Implement observability stacks (Prometheus, Grafana, OpenTelemetry, ELK/Loki) for cross-platform monitoring. Collaborate across teams to deliver secure, stable, and high-performance networking solutions. Qualifications 6-8+ years in systems programming with a strong focus on Windows internals. Expertise in Windows Filtering Platform (WFP), Windows Driver Kit (WDK), Win32 APIs, and kernel networking. Strong knowledge of IP networking, routing protocols, DPS, firewalls, and BSD networking stacks. Proven experience shipping enterprise VPN, ZeroTrust, or endpoint security (XDR/MDR) solutions. Advanced skills in C programming, with proficiency in Rust and Python for cross-platform agent work. Familiarity with Tauri/React (front-end awareness, not a UI developer). Hands-on debugging with tracers, profilers, crash dumps, and system performance tools. Strong problem solver and constant learner with proven ability to ship modern, secure solutions. Additional Info Location: Dallas, TX U.S. Citizen or Green Card Holder only. Work split: ~30% kernel development, 40% Rust, 30% Python. Interview Process: Recruiter screen → technical deep dive (kernel/networking) → peer panel.

Must perform web services developer functions to plan, develop, test, and document computer programs, applying knowledge of programming techniques and computer systems. Evaluate the user requests for new or modified programs, analyzes and develops specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with users to identify current operating procedures and clarify program objectives. Formulates plans outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development. Need to have eight or more years of experience; relies on experience and judgment to plan and accomplish goals; independently performs a variety of complicated tasks; and may lead and direct the work of others. Required: Analysis and development experience in complete software development life cycle, including designing, developing, testing, integrating and deploying applications. Experience in SQL programming and object-oriented (i.e., OOD) analysis and design. Experience with JAVA and J2EE technologies, and interactions with relational databases. Experience with Web Services, RAD, and WebSphere. Ability to create, read and understand Oracle-based stored procedures or a relational database application. Experience with system integration testing to apply knowledge of programming techniques and computer systems. Experience facilitating interpersonal interactions involving design, development, testing, peer reviews, and implementation activities including developers, business analysts, development and QA teams while ensuring that system requirements are documented Experience developing systems test plans, test scenarios, test processes and schedules. Experience designing and coordinating defect reporting and validating defect fixes. Understanding of data structures, data migration/conversion/transformation and concepts of both relational and multi-dimensional database design. Evaluates user requests for new or modified program analyzing and developing specifications to determine feasibility, cost and time required, compatibility with current system, and computer capabilities. Consults with user to identify current operating procedures and clarify program objectives. Formulates plan outlining steps required to develop program, using methodologies such as structured analysis and design or object-oriented development.

Application architects/Software Developers are responsible for designing, developing and implementing applications for computer systems. They must direct the development process from conception to completion and oversee the efforts of all associated technical staff. Additional job details and special considerations Experienced Cloud Application Architect with a proven track record of designing and delivering enterprise-grade solutions. The ideal candidate will bring deep technical expertise and strategic vision to architect scalable, secure, and high-performance applications in a cloud-native environment. Key Qualifications: 10+ years of hands-on experience in Java EE development, with a strong grasp of its ecosystem, frameworks, and best practices. Demonstrated ability to design and evolve enterprise-level applications that meet rigorous performance and scalability requirements. Expertise in micro service architecture, including the design and implementation of distributed systems. Solid understanding of modern architectural principles, with practical experience applying the 12-Factor App methodology for building SaaS applications. Proficiency in Domain-Driven Design (DDD) to model complex business domains and facilitate clear communication between technical and business teams. Comprehensive knowledge of design patterns and their application in real-world scenarios. Role Responsibilities: Lead the architecture and design of cloud-native applications, ensuring alignment with business objectives and technical standards. Work on development of the application while implementing best practices for scalability, reliability, and maintainability. Collaborate with stakeholders to translate business requirements into robust technical solutions. Required Strong experience with Java EE, Spring Boot, and microservices frameworks. Hands-on experience with cloud platforms (AWS or Google) and containerization technologies (Docker, Kubernetes). Proficiency in API design and integration (REST, GraphQL). Solid understanding of CI/CD pipelines, DevOps practices, and infrastructure as code (Terraform, Ansible). Knowledge of security best practices for cloud-native applications. Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ). Exposure to serverless computing and cloud-native services. Experience with Domain-Driven Design (DDD) for modeling complex business domains. Preferred Knowledge of observability tools (Prometheus, Grafana, ELK stack). Familiarity with performance tuning and high-availability strategies. Understanding of cost optimization in cloud environments. Healthcare industry experience preferred Fundamental understanding of the Information Management principles, IT processes, SDLC, architecture and technologies adopted by an organization. Consulting and Facilitation Skills. Customer-focused ability to communicate across all levels of the organization. Proactive Leadership style; self-starter and strong attention to detail. Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Cloud Architect.

.NET / Azure Developer Duration: 6-12 months (extendable) Key Responsibilities Design, develop, and maintain applications using .NET / C# Build and manage Azure Function Apps for serverless workloads Implement messaging and event-driven patterns using Azure Service Bus Design and integrate data solutions using Azure Cosmos DB Work with Azure Data Lake Storage (ADLS) for data ingestion and processing Collaborate closely with data engineers, DevOps, and QA teams Participate in code reviews, unit testing, and deployment activities Troubleshoot, optimize, and enhance performance and reliability Required Skills & Qualifications Strong experience with .NET / C# development Hands-on experience with Azure Function Apps Solid understanding of Azure Service Bus Experience working with Azure Cosmos DB Proven expertise with Azure Data Lake Storage (ADLS) Familiarity with REST APIs and cloud-native architecture Experience working in Agile/Scrum environments Preferred Qualifications Experience with CI/CD pipelines (Azure DevOps preferred) Knowledge of cloud security and identity management Prior experience supporting enterprise-scale applications

Role : Senior Cloud Engineer Job Description: Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life-cycle and management.

This is an onsite role, 5 days a week. Competitive compensation and benefits. Sponsorship is not available for this role. The Senior Cybersecurity Engineer will act as the primary architect of our organization's digital defense, bridging the gap between Enterprise IT, Cloud Development, and Operational Technology (OT). This role is responsible for operationalizing our security strategy, advising our software development pipeline, and advising on the protection of industrial control systems. This role leads the technical implementation of CMMC 2.0 compliance while ensuring our manufacturing and cloud applications remain resilient against modern threats. Responsibilities: Secure Microsoft Azure environments by managing Entra ID (Identity), Defender for Cloud, and Sentinel. Configure and audit conditional access policies and resource grouping Own the roadmap to CMMC Level 2 assessment readiness. Manage the System Security Plan (SSP) and Plan of Action and Milestones (POAMs) specifically for Defense Industrial Base (DIB) requirements Conduct continuous security risk assessments, bridging the gap between technical vulnerabilities (CVSS scores) and business impact Oversee the lifecycle of vulnerability management, from scanning to patch verification, working closely with infrastructure teams to minimize downtime Develop and enforce policies regarding the use of Generative AI tools (LLMs) within the enterprise to prevent data leakage and IP loss Collaborate with development teams to integrate security scanners (SAST/DAST) into the CI/CD pipeline, ensuring Security by Design Translate complex cyber metrics into a "Risk Scorecard" for leadership, highlighting ROI on security investments and current threat levels Champion security awareness training, running phishing simulations and tabletop exercises to build organizational resilience Engage with key stakeholders in the development of contingency plans, business continuity strategies, and disaster recovery efforts, ensuring our organization's resilience Basic Qualifications: Bachelor's degree in computer science, information systems, or related degree Minimum 6 years of technical security experience Minimum 2 years specifically managing cloud security (Azure preferred) Proven experience preparing an organization for CMMC, NIST 800-171, or ISO 27001 audits Qualifications and Experience: Expert knowledge of NIST 800-171, CMMC 2.0, and SOC 2 standards Direct experience securing Microsoft Azure infrastructure Ability to manage risk assessments and threat modeling Skilled in writing technical policies, procedures, and SSPs Experience coordinating third-party audits and external assessments Knowledge of DevSecOps pipelines and OT/Industrial security Ability to work both independently and collaboratively, and handle ambiguity Excellent communication skills and ability to succinctly present recommendations Strong ability to prioritize competing deadlines in a fast-paced environment Adaptability to perform additional duties as business needs evolve We are an Equal Opportunity Employer and consider all qualified applicants for employment without discrimination based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ethnicity, genetic background, age, marital status, veteran status, disability, or any other legally protected status. When needed, reasonable accommodation will be made to help individuals with disabilities fulfill essential responsibilities.

Role: GCP Data Engineer Must Have Skills: 7+ Years of experience with GCP , Python , Pyspark , SQL GCP Services - Bigquery , Dataproc , Pub/sub , GCP Dataflow. The client will take - Coderpad interview so Python coding is strongly required here.