Job Description Job Description Role summaryRDI Technologies develops camera-based motion measurement and analysis technology for industrial applications. We are seeking a senior software engineer to turn complex camera, measurement, and AI capabilities into clear, responsive web experiences that customers can use to understand equipment behavior and complete their work. Your strongest skill will be building modern web applications with React and TypeScript. You will also contribute C# and .NET services, engineer stateful AI workflows, and work directly with customers and application engineers to take useful capabilities from discovery through deployment and adoption. You will partner closely with our platform engineer and camera, hardware, product, design, and domain specialists. You will own application delivery and the customer experience, using shared infrastructure and established device interfaces to build reliable, maintainable product capabilities.Key responsibilitiesBuild modern web experiences Lead frontend implementation with React, TypeScript, and modern frameworks such as Next.js. Translate complex technical tasks into coherent navigation, responsive layouts, and efficient workflows. Build reusable components and apply shared design systems, strong HTML and CSS, accessible interactions, and clear visual hierarchy. Design loading, empty, error, progress, and recovery states as part of the experience. Create responsive interfaces for live imagery, measurement overlays, results, and reports. Keep displayed state accurate when data is delayed, a device disconnects, or a long-running task changes status. Deliver with customers Work directly with customers, application engineers, and product leaders to understand operational needs, observe workflows, and define practical acceptance criteria. Own scoped capabilities from prototype through integration, pilot deployment, user feedback, and production improvement. Diagnose problems across application boundaries and coordinate resolution with the appropriate owners. Turn recurring customer needs into reusable product capabilities, documentation, and deployment practices. Application and workflow engineeringConnect web applications and backend services Develop and integrate C# and ASP.NET Core application services in a .NET 10 environment, including APIs, session state, data access, and asynchronous processing. Define and maintain service contracts for commands, progress, results, cancellation, and recovery. Keep browser state consistent with authoritative backend and device state. Integrate with existing native camera and processing services through their supported interfaces, partnering with the engineers responsible for those systems. Engineer agent workflows and execution graphs Build tool-using AI workflows that interpret a task, gather context, perform work, evaluate results, and continue toward a defined outcome. Design stateful execution graphs with explicit steps, conditional branches, dependencies, and useful parallel work. Preserve case context and progress across interruptions. Build evaluation and refinement loops with measurable completion criteria, bounded retries, time and resource limits, and appropriate human decisions. Prevent duplicate actions when a task retries or resumes. Keep validated measurements and evidence authoritative. Present findings, uncertainty, missing evidence, and next actions clearly, without treating generated explanations as verified measurements. Make camera workflows usable and reliable Build guided experiences for camera setup, target selection, acquisition, analysis, and reporting. Help users understand the next action while keeping technical complexity manageable. Represent capture authorization, acquisition quality, workflow progress, and equipment findings as distinct states. Preserve user control over recording, cancellation, and requests for additional evidence. Work within camera-server and hardware constraints. Measure latency, memory, and processing demand; ensure preview and AI workloads respect recording integrity and agreed resource budgets. Deploy applications with platform engineering Prepare applications for company-managed and local Linux deployments, including environments using Arch Linux. Support normal operation without external network access where required. Partner on runtime configuration, authentication, application packaging, deployment automation, logging, monitoring, and recovery. Supply the application requirements and verification needed for dependable releases. Validate meaningful customer workflows with QA and domain experts, including device disconnection, interrupted analysis, resource contention, offline operation, and report export. Use agentic development with engineering judgment Use coding agents to accelerate implementation, investigation, refactoring, and verification. Define goals and acceptance criteria, provide useful context, review generated changes, and iterate until behavior is demonstrated. Keep solutions understandable and maintainable. Review code, document important decisions, and improve shared engineering practices through evidence from delivery and customer use. Required qualifications A record of independently delivering and supporting production web applications, with senior-level ownership of implementation, technical decisions, and customer outcomes. Strong React and TypeScript experience, including component architecture, state management, asynchronous data, performance, and modern frontend tooling. Strong web design and interaction judgment: semantic HTML, CSS, responsive design, accessibility, design systems, and the ability to turn a complicated workflow into a clear experience. Practical C# and modern .NET experience, including contributing backend service code and debugging across frontend and backend boundaries. Hands-on experience building tool-using AI agents or multi-step AI workflows. Ability to demonstrate and explain state, branching, loops, evaluation, termination, retries, and recovery in a working implementation. Practical experience using AI coding tools while retaining responsibility for architecture, code quality, and verified behavior. Comfort deploying and troubleshooting applications on Linux, using logs, configuration, process and network diagnostics, and performance measurements. Ability to work directly with users and technical specialists, turn ambiguous needs into scoped work, communicate tradeoffs, and follow through from implementation to adoption. Preferred experience Next.js production applications, including server and client boundaries and self-hosted deployment. .NET 10, ASP.NET Core, gRPC or similar service contracts, and streaming or event-driven application interfaces. Stateful agent orchestration frameworks, persistent workflows, local model integration, and evaluation of multi-step AI behavior. Video, imaging, real-time visualization, device integration, data acquisition, or other applications with significant latency and resource constraints. Arch Linux, containers, customer-hosted or air-gapped systems, and collaboration with platform or embedded engineering teams. Industrial software, condition monitoring, vibration analysis, or working alongside domain experts to deliver technical products. What success looks like Customers can complete supported workflows with clear guidance, accurate state, and fewer avoidable handoffs or support interventions. Web and .NET capabilities work together reliably through normal operation, interruption, cancellation, and recovery. Agent workflows produce inspectable results, retain progress, and stop or request input when they cannot responsibly continue. Applications remain responsive within the supported deployment environment while protecting acquisition and recording requirements. Customer learning improves reusable product capabilities and measurable usability, reliability, and delivery outcomes. Deep strength in web product engineering, practical .NET capability, and demonstrated agent-workflow skills are the priorities. Experience with every preferred technology is not required. Powered by JazzHR run5g8fGSW
11/12/2026
Full time
Job Description Job Description Role summaryRDI Technologies develops camera-based motion measurement and analysis technology for industrial applications. We are seeking a senior software engineer to turn complex camera, measurement, and AI capabilities into clear, responsive web experiences that customers can use to understand equipment behavior and complete their work. Your strongest skill will be building modern web applications with React and TypeScript. You will also contribute C# and .NET services, engineer stateful AI workflows, and work directly with customers and application engineers to take useful capabilities from discovery through deployment and adoption. You will partner closely with our platform engineer and camera, hardware, product, design, and domain specialists. You will own application delivery and the customer experience, using shared infrastructure and established device interfaces to build reliable, maintainable product capabilities.Key responsibilitiesBuild modern web experiences Lead frontend implementation with React, TypeScript, and modern frameworks such as Next.js. Translate complex technical tasks into coherent navigation, responsive layouts, and efficient workflows. Build reusable components and apply shared design systems, strong HTML and CSS, accessible interactions, and clear visual hierarchy. Design loading, empty, error, progress, and recovery states as part of the experience. Create responsive interfaces for live imagery, measurement overlays, results, and reports. Keep displayed state accurate when data is delayed, a device disconnects, or a long-running task changes status. Deliver with customers Work directly with customers, application engineers, and product leaders to understand operational needs, observe workflows, and define practical acceptance criteria. Own scoped capabilities from prototype through integration, pilot deployment, user feedback, and production improvement. Diagnose problems across application boundaries and coordinate resolution with the appropriate owners. Turn recurring customer needs into reusable product capabilities, documentation, and deployment practices. Application and workflow engineeringConnect web applications and backend services Develop and integrate C# and ASP.NET Core application services in a .NET 10 environment, including APIs, session state, data access, and asynchronous processing. Define and maintain service contracts for commands, progress, results, cancellation, and recovery. Keep browser state consistent with authoritative backend and device state. Integrate with existing native camera and processing services through their supported interfaces, partnering with the engineers responsible for those systems. Engineer agent workflows and execution graphs Build tool-using AI workflows that interpret a task, gather context, perform work, evaluate results, and continue toward a defined outcome. Design stateful execution graphs with explicit steps, conditional branches, dependencies, and useful parallel work. Preserve case context and progress across interruptions. Build evaluation and refinement loops with measurable completion criteria, bounded retries, time and resource limits, and appropriate human decisions. Prevent duplicate actions when a task retries or resumes. Keep validated measurements and evidence authoritative. Present findings, uncertainty, missing evidence, and next actions clearly, without treating generated explanations as verified measurements. Make camera workflows usable and reliable Build guided experiences for camera setup, target selection, acquisition, analysis, and reporting. Help users understand the next action while keeping technical complexity manageable. Represent capture authorization, acquisition quality, workflow progress, and equipment findings as distinct states. Preserve user control over recording, cancellation, and requests for additional evidence. Work within camera-server and hardware constraints. Measure latency, memory, and processing demand; ensure preview and AI workloads respect recording integrity and agreed resource budgets. Deploy applications with platform engineering Prepare applications for company-managed and local Linux deployments, including environments using Arch Linux. Support normal operation without external network access where required. Partner on runtime configuration, authentication, application packaging, deployment automation, logging, monitoring, and recovery. Supply the application requirements and verification needed for dependable releases. Validate meaningful customer workflows with QA and domain experts, including device disconnection, interrupted analysis, resource contention, offline operation, and report export. Use agentic development with engineering judgment Use coding agents to accelerate implementation, investigation, refactoring, and verification. Define goals and acceptance criteria, provide useful context, review generated changes, and iterate until behavior is demonstrated. Keep solutions understandable and maintainable. Review code, document important decisions, and improve shared engineering practices through evidence from delivery and customer use. Required qualifications A record of independently delivering and supporting production web applications, with senior-level ownership of implementation, technical decisions, and customer outcomes. Strong React and TypeScript experience, including component architecture, state management, asynchronous data, performance, and modern frontend tooling. Strong web design and interaction judgment: semantic HTML, CSS, responsive design, accessibility, design systems, and the ability to turn a complicated workflow into a clear experience. Practical C# and modern .NET experience, including contributing backend service code and debugging across frontend and backend boundaries. Hands-on experience building tool-using AI agents or multi-step AI workflows. Ability to demonstrate and explain state, branching, loops, evaluation, termination, retries, and recovery in a working implementation. Practical experience using AI coding tools while retaining responsibility for architecture, code quality, and verified behavior. Comfort deploying and troubleshooting applications on Linux, using logs, configuration, process and network diagnostics, and performance measurements. Ability to work directly with users and technical specialists, turn ambiguous needs into scoped work, communicate tradeoffs, and follow through from implementation to adoption. Preferred experience Next.js production applications, including server and client boundaries and self-hosted deployment. .NET 10, ASP.NET Core, gRPC or similar service contracts, and streaming or event-driven application interfaces. Stateful agent orchestration frameworks, persistent workflows, local model integration, and evaluation of multi-step AI behavior. Video, imaging, real-time visualization, device integration, data acquisition, or other applications with significant latency and resource constraints. Arch Linux, containers, customer-hosted or air-gapped systems, and collaboration with platform or embedded engineering teams. Industrial software, condition monitoring, vibration analysis, or working alongside domain experts to deliver technical products. What success looks like Customers can complete supported workflows with clear guidance, accurate state, and fewer avoidable handoffs or support interventions. Web and .NET capabilities work together reliably through normal operation, interruption, cancellation, and recovery. Agent workflows produce inspectable results, retain progress, and stop or request input when they cannot responsibly continue. Applications remain responsive within the supported deployment environment while protecting acquisition and recording requirements. Customer learning improves reusable product capabilities and measurable usability, reliability, and delivery outcomes. Deep strength in web product engineering, practical .NET capability, and demonstrated agent-workflow skills are the priorities. Experience with every preferred technology is not required. Powered by JazzHR run5g8fGSW
Job Description Job Description PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity) PagerDuty is seeking a Senior Security Engineer to join our Cloud Security team, part of Security Engineering within the CTO organization. This is a preventive, platform-focused role for a strong engineer: you'll build and operate security-focused systems at scale to protect PagerDuty's multi-account AWS environment and the Kubernetes platforms running on it, with deep responsibility across container security and identity & access management (and, ideally, cryptography and key management). You'll harden the platform, design least-privilege identity and workload identity, and - because we're a lean team without a dedicated SOC - you'll shape detection strategy for the domains you own (Kubernetes and identity) and hunt during incidents. We lean hard into AI to move faster, so you'll both use and build agentic solutions to streamline how the team hardens, threat models, assesses risk, and operates. You'll partner with 30+ engineering teams to unblock them securely, and since we own and operate what we build, your controls ship as code, get validated against real usage, and roll out without disrupting engineering - including across our FedRAMP footprint. This role will be require to work 2 days week from our Atlanta office What you'll do Harden PagerDuty's AWS and Kubernetes environments against CIS Benchmarks, DISA STIGs, and FedRAMP Moderate (Class C) baselines across a multi-account, multi-org footprint - proving results through evidence, config-remediation tooling, and KPIs that track posture, identity, and encryption/PKI health so we know where we stand and where the gaps are. Own Kubernetes and container security end to end - harden EKS clusters and the Istio service mesh against the CIS Kubernetes Benchmark, DISA Kubernetes STIG, and NSA/CISA Kubernetes hardening guidance, design and enforce Kubernetes RBAC and least-privilege workload identity (IRSA/pod identity), and drive controls for the container supply chain (image provenance, admission control, runtime policy). Build and operate security-focused platforms, services, and automation at scale - using Python/Go, Terraform, and Kubernetes policy-as-code - that reduce manual work and let 30+ engineering teams move quickly and safely. Own PKI and encryption standards across the environment - certificate lifecycle and management, KMS-backed key management and rotation, TLS/mTLS (including within the Istio mesh), and encryption-at-rest and in-transit requirements - and define the standards other teams build against. Design and roll out Service Control Policy (SCP) guardrails and least-privilege IAM/PAM across dozens of accounts and multiple orgs. Lean into AI to unlock efficiency and velocity - consume agentic tooling in day-to-day work and build lightweight agentic solutions that streamline repetitive security work: posture triage, threat modeling, risk assessment, incident enrichment and investigation, compliance-evidence generation, and detection tuning. Shape detection strategy for the domains you own - Kubernetes/Istio and identity - authoring and tuning detections in our SIEM stack, defining what "good" coverage looks like for these domains, and threat hunting for container escape, lateral movement, anomalous mesh traffic, and identity or credential abuse. Participate in the team's on-call rotation, triaging and dispositioning cloud and Kubernetes threat alerts and acting as Incident Commander during incidents - driving containment, blast-radius/exposure analysis, and post-incident review. Partner closely with our AppSec and GRC teams - aligning platform controls with secure-development needs and translating hardening, identity, and encryption work into audit and compliance evidence. Additional responsibilities Mentor and guide teammates on platform, identity, and cryptography security practices, and contribute to roadmap and annual planning. At the senior end of this role, you'll help draft external- and auditor-facing communication and represent the team in cross-team planning. Basic qualifications Strong software engineering background - years building and operating production systems at scale, with the ability to design and ship security-focused platforms, services, and tooling as a developer (not just configure them). Proficiency in Python and/or Go (or similar) and Infrastructure as Code (Terraform). 5+ years in security engineering with deep, hands-on expertise securing Kubernetes and containerized environments - EKS, Kubernetes RBAC, admission control (e.g., OPA/Gatekeeper or Kyverno), network policy, workload identity (IRSA/pod identity), container runtime/image security, and a service mesh such as Istio. Deep expertise with AWS security services and least-privilege IAM/PAM - IAM family, Organizations/SCPs, Secrets Manager, KMS, GuardDuty, CloudTrail, and Config. Ability to automate security controls as code (Kubernetes policy-as-code) and inform detection strategy in a modern SIEM (e.g., CrowdStrike NG-SIEM, Splunk), including threat hunting within your domains. Experience with incident response and on-call, a builder's mindset toward AI/agentic tooling to accelerate security work, and a track record of scoping ambiguous projects and driving them to completion with high ownership. Preferred qualifications Hands-on expertise in PKI and cryptography - certificate lifecycle/management, TLS/mTLS, key management and rotation (AWS KMS or similar HSM/KMS), and encryption at rest and in transit. Hands-on hardening to CIS Benchmarks and DISA STIGs within a FedRAMP (or similar) program; familiarity with NIST CSF, SOC 2, or ISO 27001; and experience partnering with AppSec and GRC teams to produce compliance evidence. Experience building agentic or AI-assisted security automation, and familiarity with securing AI/ML or agentic workloads running on cloud and Kubernetes infrastructure. Cloud-native security tooling such as Wiz (CNAPP/Threats) and CrowdStrike Falcon runtime protection; Azure security exposure (Entra ID, Defender for Cloud) a plus. Demonstrated mentoring, strong written and verbal communication, and working knowledge of PagerDuty's Incident Management and Process Automation products. The base salary range for this position is 150,000 - 251,900 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions . click apply for full job details
11/12/2026
Full time
Job Description Job Description PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity) PagerDuty is seeking a Senior Security Engineer to join our Cloud Security team, part of Security Engineering within the CTO organization. This is a preventive, platform-focused role for a strong engineer: you'll build and operate security-focused systems at scale to protect PagerDuty's multi-account AWS environment and the Kubernetes platforms running on it, with deep responsibility across container security and identity & access management (and, ideally, cryptography and key management). You'll harden the platform, design least-privilege identity and workload identity, and - because we're a lean team without a dedicated SOC - you'll shape detection strategy for the domains you own (Kubernetes and identity) and hunt during incidents. We lean hard into AI to move faster, so you'll both use and build agentic solutions to streamline how the team hardens, threat models, assesses risk, and operates. You'll partner with 30+ engineering teams to unblock them securely, and since we own and operate what we build, your controls ship as code, get validated against real usage, and roll out without disrupting engineering - including across our FedRAMP footprint. This role will be require to work 2 days week from our Atlanta office What you'll do Harden PagerDuty's AWS and Kubernetes environments against CIS Benchmarks, DISA STIGs, and FedRAMP Moderate (Class C) baselines across a multi-account, multi-org footprint - proving results through evidence, config-remediation tooling, and KPIs that track posture, identity, and encryption/PKI health so we know where we stand and where the gaps are. Own Kubernetes and container security end to end - harden EKS clusters and the Istio service mesh against the CIS Kubernetes Benchmark, DISA Kubernetes STIG, and NSA/CISA Kubernetes hardening guidance, design and enforce Kubernetes RBAC and least-privilege workload identity (IRSA/pod identity), and drive controls for the container supply chain (image provenance, admission control, runtime policy). Build and operate security-focused platforms, services, and automation at scale - using Python/Go, Terraform, and Kubernetes policy-as-code - that reduce manual work and let 30+ engineering teams move quickly and safely. Own PKI and encryption standards across the environment - certificate lifecycle and management, KMS-backed key management and rotation, TLS/mTLS (including within the Istio mesh), and encryption-at-rest and in-transit requirements - and define the standards other teams build against. Design and roll out Service Control Policy (SCP) guardrails and least-privilege IAM/PAM across dozens of accounts and multiple orgs. Lean into AI to unlock efficiency and velocity - consume agentic tooling in day-to-day work and build lightweight agentic solutions that streamline repetitive security work: posture triage, threat modeling, risk assessment, incident enrichment and investigation, compliance-evidence generation, and detection tuning. Shape detection strategy for the domains you own - Kubernetes/Istio and identity - authoring and tuning detections in our SIEM stack, defining what "good" coverage looks like for these domains, and threat hunting for container escape, lateral movement, anomalous mesh traffic, and identity or credential abuse. Participate in the team's on-call rotation, triaging and dispositioning cloud and Kubernetes threat alerts and acting as Incident Commander during incidents - driving containment, blast-radius/exposure analysis, and post-incident review. Partner closely with our AppSec and GRC teams - aligning platform controls with secure-development needs and translating hardening, identity, and encryption work into audit and compliance evidence. Additional responsibilities Mentor and guide teammates on platform, identity, and cryptography security practices, and contribute to roadmap and annual planning. At the senior end of this role, you'll help draft external- and auditor-facing communication and represent the team in cross-team planning. Basic qualifications Strong software engineering background - years building and operating production systems at scale, with the ability to design and ship security-focused platforms, services, and tooling as a developer (not just configure them). Proficiency in Python and/or Go (or similar) and Infrastructure as Code (Terraform). 5+ years in security engineering with deep, hands-on expertise securing Kubernetes and containerized environments - EKS, Kubernetes RBAC, admission control (e.g., OPA/Gatekeeper or Kyverno), network policy, workload identity (IRSA/pod identity), container runtime/image security, and a service mesh such as Istio. Deep expertise with AWS security services and least-privilege IAM/PAM - IAM family, Organizations/SCPs, Secrets Manager, KMS, GuardDuty, CloudTrail, and Config. Ability to automate security controls as code (Kubernetes policy-as-code) and inform detection strategy in a modern SIEM (e.g., CrowdStrike NG-SIEM, Splunk), including threat hunting within your domains. Experience with incident response and on-call, a builder's mindset toward AI/agentic tooling to accelerate security work, and a track record of scoping ambiguous projects and driving them to completion with high ownership. Preferred qualifications Hands-on expertise in PKI and cryptography - certificate lifecycle/management, TLS/mTLS, key management and rotation (AWS KMS or similar HSM/KMS), and encryption at rest and in transit. Hands-on hardening to CIS Benchmarks and DISA STIGs within a FedRAMP (or similar) program; familiarity with NIST CSF, SOC 2, or ISO 27001; and experience partnering with AppSec and GRC teams to produce compliance evidence. Experience building agentic or AI-assisted security automation, and familiarity with securing AI/ML or agentic workloads running on cloud and Kubernetes infrastructure. Cloud-native security tooling such as Wiz (CNAPP/Threats) and CrowdStrike Falcon runtime protection; Azure security exposure (Entra ID, Defender for Cloud) a plus. Demonstrated mentoring, strong written and verbal communication, and working knowledge of PagerDuty's Incident Management and Process Automation products. The base salary range for this position is 150,000 - 251,900 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions . click apply for full job details
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking an experienced Principal Game Engine Engineer to join our fast-moving, innovative Platform team. The Principal Game Engine Engineer will participate in the design, implementation, and optimization of the real time physics systems that underpin the simulation in our applications. You will architect scalable physics solutions, integrate tightly with the data fabric, animation, and rendering pipelines, and drive innovation in physics-led simulation techniques to deliver responsive interactions across vehicles, environments, and all other simulation assets. As a Principal Engineer you will set technical directions, mentor engineers, and partner with Platform and Product Management to turn creative vision into performant, shippable features and customer applications. This is an onsite role located in Redmond, WA. Key Attributes: Innovation Mindset: Passion for pushing the boundaries of real-time physics in interactive simulation. Leadership & Mentorship : Ability to guide developers, set technical direction for an area, and enforce best practices. Problem-Solving : Creative and analytical approach to complex simulation challenges. Communication : Clear articulation of technical concepts to non-technical stakeholders. Responsibilities: Own the physics architecture: Define data models, simulation loops, solver strategies, and integration points across engine and simulation systems. Deliver core physics features: Collision detection (broad phase/narrow phase), entity controllers, vehicle dynamics with an emphasis on orbital mechanics, particles/fluid mechanics (with an emphasis on atmospheric dynamics). Integrate with simulation logic (gameplay) & animation: Build physics driven interactions, authoring tools, and runtime hooks (e.g., inverse kinematics, state machines, event systems). Performance ownership: Profile, optimize, and budget frame time and memory across platforms; lead multi-threading/Job System/SIMD efforts; evaluate GPU compute opportunities. Stability & robustness: Establish test suites, golden scenarios, and verification and validation practices; reduce edge case instability (stacking, tunneling, jitter, constraint drift). Tooling & workflow: Build/debug tools, visualizers, probes, and authoring pipelines that accelerate designer iteration and QA efficiency. Cross functional leadership: Partner with back-end, AI, data pipeline, and platform teams; communicate constraints/trade offs; align milestones with production. Mentorship & standards: Guide engineers via reviews, design docs, and coding standards; cultivate a high bar for craft, documentation, and reproducibility. Quality & live support: Own crash triage and regression control for physics; support content changes post launch without destabilizing the simulation. Professional Qualifications: Education: BS/MS in Computer Science, Software Engineering, Physics, Mathematics (or equivalent practical experience). Experience: 10+ years in real time/game physics engineering; 2+ shipped titles with substantial physics ownership (AA/AAA preferred). Programming: Expert C++ (modern standards), data oriented design, memory management, profiling/debugging (VTune, PIX, Nsight, RenderDoc, etc.). Rigid body dynamics, collision detection (GJK, SAT, continuous collision detection/time of impact), integration schemes (semi implicit Euler, RK, constraint solvers). Numerical stability, error control, and performance trade offs under real time constraints. Engine Integration: Experience integrating physics with animation (animation blending, IK), gameplay systems, and rendering pipelines. Performance: Multi-threading/job systems, SIMD/vectorization, cache friendly data structures, frame/memory budgeting across platforms. Collaboration: Proven ability to lead cross disciplinary efforts and communicate complex technical topics clearly. Preferred Qualifications: 15+ years' experience in Modern Game Engines & Middleware: Unreal Engine (Chaos), Unity (DOTS/Physics), Havok, Bullet, PhysX; custom engine experience strongly preferred. 10+ years' experience in Advanced Simulation: Fracture systems, granular materials, vehicle tire models, buoyancy/aero effects; GPU compute (CUDA, compute shaders). Experience with existing physics models and systems integration. Networking: Deterministic simulation strategies, rollback/prediction, server authority models, cross platform latency mitigation. Console/Platform: Shipping experience on Xbox, PlayStation, Switch, and PC; familiarity with platform TRCs/TCRs and performance certification. Tooling & Scripting: Python/C#/Lua for tools and editor extensions; in engine visualization/debugging overlays. Optimization Expertise: Broad phase structures (sweep-and-prune, BVH), island building, sleeping strategies, CCD tunneling avoidance; job scheduling and affinity tuning. Content Pipelines: Collaboration with design/tech art to create authoring guidelines for physics assets; LOD strategies for physics complexity. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Why Worldscape? There is nothing more important to Worldscape than our culture. It is the fundamental means by which we will succeed as an organization. Talent, ability, drive, experience, knowledge cannot be maximized without first embracing the culture we espouse and will live every single day. Worldscape offers great benefits, opportunities for continued growth, and the ability to directly affect change in our organization and be part of a high-growth startup at a pivotal stage. What we offer: - Competitive salary and meaningful equity - Attractive benefits package - Flexible time off policy - Medical, Dental and Vision insurance - HSA health insurance options - 401k plan - Basic and Voluntary Life Insurance - Fast paced environment with flexibility and ownership Worldscape is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Employment is contingent upon successful completion of a background check. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.