Urban Sky
Denver, Colorado
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI79ac2-6921
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PI79ac2-6921
Urban Sky
Denver, Colorado
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PIfcbc5-
About Urban Sky Urban Sky is a venture-backed aerospace startup on a mission to pioneer humanity's routine, easy access to the stratosphere and the value locked within it. We design, build, operate, and sell stratospheric balloon systems. The data we collect supports a wide range of applications, from real-time wildfire monitoring to urban mapping. Our technology is also employed by government customers including the Department of War (DoW), NASA, and others. Urban Sky sends flight vehicles to the stratosphere on a weekly basis. Our team consists of engineers, makers, developers, and doers who believe in the power of human potential when passion meets utility within a small, supportive team. At Urban Sky we strive to create a team culture grounded in candor, inclusion, respect and empowerment. We aim to build the next chapter of stratospheric history in Denver and Texas and are seeking self-starting, open-minded, and hard-working team members. Position Overview / Onsite / Full-time / Salaried Urban Sky is seeking a Senior Embedded Imaging Software Engineer to own the firmware, imaging pipeline, and data-movement stack behind our electro-optical (EO) and infrared (IR) payloads - from the sensor at the focal plane to the command-and-control link on the ground. You'll write the firmware that drives our cameras and edge compute, own the CUDA image processing pipeline that turns raw pixels into clean, calibrated, geo-tagged imagery, and architect the high-rate data paths and C2 infrastructure that connect the payload to the customer. Your goal: deliver clean, honest imagery. Much of this work proves out in the field - at events, exercises, and customer engagements. Key Responsibilities: Own embedded firmware for our EO and IR payloads: sensor bring-up, driver development, and edge compute on NVIDIA Jetson platforms Integrate cameras and sensors over PCIe, MIPI/CSI, and USB, and develop board-support packages for custom carrier boards, system-on-modules, and companion microcontrollers Own the L0 image processing pipeline running in CUDA at the edge: debayering, white balance, gamma, and camera/lens correction - applied to raw frames before any codec Own IR-specific processing: non-uniformity correction (NUC), bad-pixel replacement, and radiometric calibration Develop multi-frame super-resolution and related computational imaging capabilities Implement imagery metadata (KLV/MISB) so every frame carries accurate pointing, position, and time Architect high-throughput data paths across the vehicle - PCIe as a first-class specialty - and the routing infrastructure that carries imagery, telemetry, and C2 across satellite, tactical-radio, and IP links Optimize for latency, throughput, and determinism, and balance pipeline compute against onboard ML workloads sharing the same CUDA resources Integrate payload firmware with the gimbal and motion-control stack, consuming pointing and autonomy commands from the broader payload software architecture Develop and maintain optical calibrations for our EO/IR payloads - lens distortion modeling, vignetting/flat-field correction, and MTF/sharpness characterization - so imagery quality is measured and repeatable across cameras and flights Implement motion and temporal compensation (frame-to-frame registration, stabilization, and temporal filtering) to maximize effective image quality from a moving platform Qualifications: Experience building end-to-end camera/imaging systems, from sensor to downstream consumer Working experience with image processing pipelines (debayering, calibration, correction) and CUDA or GPU-accelerated processing Experience with optical calibration and characterization - distortion modeling, vignetting correction, MTF/sharpness measurement - and building the correction steps that apply them in a processing pipeline Familiarity with motion/temporal compensation techniques (registration, stabilization, temporal filtering) for imaging from moving platforms 5+ years developing embedded firmware in C/C++ for embedded Linux and/or bare-metal/RTOS systems Hands-on experience shipping on NVIDIA Jetson or comparable embedded Linux/SoC platforms Deep experience moving high-rate data over PCIe (driver, DMA, endpoint/root-complex level) Solid grounding in networking, data routing, and command-and-control infrastructure Strong hardware debugging skills and comfort working from schematics Nice-to-Haves / Preferred Skills: IR/thermal imaging experience, including NUC and radiometric calibration GStreamer, V4L2, or other imaging/video pipeline frameworks Computational imaging techniques (super-resolution, stacking, HDR) Defense imagery and metadata standards (MISB/KLV, STANAG); defense or mission-critical development experience FPGA workflows or high-speed serial interfaces (SerDes, Aurora, MIPI) Experience with optics and optical hardware Experience with multi-sensor and multispectral fusion - co-registering and combining imagery across sensors and bands into fused data products, in partnership with downstream data teams Requirements: Must be US Citizen or Permanent Resident Must be able to obtain and maintain a US security clearance (an active clearance is a plus) Must be located near Denver, CO or willing to relocate; role is on-site at our Denver headquarters (4800 Race St) Travel expected to support field events, exercises, and customer engagements Benefits: Stock Options Medical, Vision and Dental Flexible PTO Cell Phone Bill Stipend Urban Sky is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. The pay range for this role is: 140,000 - 180,000 USD per year(Denver CO HQ) PIfcbc5-
FHR
Phoenix, Arizona
Job Description Job Description Contract to Hire - This position is not eligible for visa sponsorship, either now or in the future. Hybrid work model, mostly remote; on-site in Phoenix, AZ for design/whiteboard session as needed. Candidate must currently reside in Arizona - no relocation allowed. Candidate must attend an in-person interview. Candidate must provide AZ Driver's License as proof of residency. Candidate must use their own personal laptop with a Windows workstation for remote access. Candidate must work AZ time zone business hours. All work must be completed in the United States. Our direct client has an opening for a Software QA Automation Lead # 8377. This position is for 6 months contract to hire and will be worked in a hybrid schedule on-site in Phoenix, AZ as needed - however mostly remote. All work must be completed in the United States. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Rate Range is $50-63/hr W2 or $55-67/hr Corp to Corp - Direct with candidate ONLY - No Subcontractors Allowed Below is the job description - Resumes due ASAP - Resumes Due by Monday, October 13 Required Skills: 3+ years in a technical leadership or lead automation engineer role. MUST have Leadership experience Behavior-Driven Development (BDD) using Gherkin or Cucumber JavaScript, PowerShell, Python, Bash, or Ruby experience Experience with Spring Framework Preferred Skills: Grafana experience Container Architecture: Docker or Kubernetes Experience with Azure, AWS, or GCP Maven AI experience Jira Confluence Description: Lead the quality platform behind mission-critical software at ASRS. Partner directly with architects to fix today's framework pain, modernize our stack, and hard-wire a true shift-left culture-while piloting AI-assisted testing to boost coverage, speed, and confidence. What You'll Do Own the quality platform: Set strategy, architecture, and standards for automation-Java today, with pragmatic evolution to modern UI/API automation where it improves reliability. Embed quality early: Drive PR-level tests, contract/API checks, and CI/CD quality gates for rapid, trusted developer feedback. Apply AI where it counts: Use AI/LLM-assisted test generation, self-healing locators, flake triage, and test-impact analysis to reduce toil and raise signal. Simplify the SDLC: With DevOps, streamline pipelines, test data management, environment provisioning, and release guardrails for faster flow. Solve hard problems with architects: Tackle cross-cutting issues (auth, data, performance, flakiness) and retire tech debt with durable solutions. Build the right tests: Expand reliable web/UI, API, and integration coverage; harden environments and test data. Coach and elevate: Mentor QA engineers, review automation code, and set standards for readability, reliability, and maintainability. Measure what matters: Stand up live dashboards (coverage, pass/fail, flakiness, MTTR) to inform decisions and continuously raise the bar. Own root cause: Lead deep-dive debugging across test and prod, driving prevention-not just fixes. Your Toolbox (What We Use & Value) Languages/Frameworks: Java, JUnit, Maven; BDD with Cucumber/Gherkin. Automation: Selenium WebDriver (today); informed experience with Playwright (Java/TypeScript) a plus. CI/CD & SCM: Jenkins, GitHub Actions; GitHub for collaboration. Observability & Metrics: Grafana (quality and performance dashboards). Backend/Platform context: Spring Boot/Spring Security; Oracle DB; FileNet/content systems. Scripting: PowerShell or similar for utilities. Quality practices: Testing pyramid, risk-based design, code reviews, and environment parity. Where We're Headed (And Where You'll Lead) GitHub-native CI/CD: Standardize on GitHub pipelines for frequent, automated deployments-define branch strategy, environment promotions, and reusable workflows that make shipping safe by default. Reliable testing for high velocity: Build a strategy that scales with cadence-PR checks, contract/API tests, fast UI smoke suites, test-impact analysis, deterministic data & ephemeral envs, parallelization, and rigorous flake control. AI-assisted, data-driven quality: Apply LLM-assisted test generation/self-healing and enforce quality gates backed by live dashboards (coverage, flakiness, MTTR, DORA) to boost signal and confidence. Framework evolution (tool-agnostic): Evaluate and pilot modern UI/API automation options against clear criteria (reliability, speed, parity, maintainability, ROI) and recommend phased adoption that protects delivery. What You Bring 10+ years in QA/automation with 5+ years leading/architecting frameworks. Proven success embedding automated quality gates into CI/CD for high-velocity releases. Track record mentoring engineers and raising the bar on code quality and test design. Comfort collaborating with architects and senior engineers on systemic quality problems. Nice-To-Have Experience introducing AI tooling (e.g., Copilot, test-gen, self-healing) into real teams. Performance, security, or contract-testing exposure. Work Setup & Logistics Hybrid: Mostly remote; design/whiteboard sessions in Phoenix as needed. Equipment: Personal laptop required; Windows workstation provided for remote access. Eligibility: Must be AZ-local and able to work for any U.S. employer (no sponsorship).
Job Description Job Description Contract to Hire - This position is not eligible for visa sponsorship, either now or in the future. Hybrid work model, mostly remote; on-site in Phoenix, AZ for design/whiteboard session as needed. Candidate must currently reside in Arizona - no relocation allowed. Candidate must attend an in-person interview. Candidate must provide AZ Driver's License as proof of residency. Candidate must use their own personal laptop with a Windows workstation for remote access. Candidate must work AZ time zone business hours. All work must be completed in the United States. Our direct client has an opening for a Software QA Automation Lead # 8377. This position is for 6 months contract to hire and will be worked in a hybrid schedule on-site in Phoenix, AZ as needed - however mostly remote. All work must be completed in the United States. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Rate Range is $50-63/hr W2 or $55-67/hr Corp to Corp - Direct with candidate ONLY - No Subcontractors Allowed Below is the job description - Resumes due ASAP - Resumes Due by Monday, October 13 Required Skills: 3+ years in a technical leadership or lead automation engineer role. MUST have Leadership experience Behavior-Driven Development (BDD) using Gherkin or Cucumber JavaScript, PowerShell, Python, Bash, or Ruby experience Experience with Spring Framework Preferred Skills: Grafana experience Container Architecture: Docker or Kubernetes Experience with Azure, AWS, or GCP Maven AI experience Jira Confluence Description: Lead the quality platform behind mission-critical software at ASRS. Partner directly with architects to fix today's framework pain, modernize our stack, and hard-wire a true shift-left culture-while piloting AI-assisted testing to boost coverage, speed, and confidence. What You'll Do Own the quality platform: Set strategy, architecture, and standards for automation-Java today, with pragmatic evolution to modern UI/API automation where it improves reliability. Embed quality early: Drive PR-level tests, contract/API checks, and CI/CD quality gates for rapid, trusted developer feedback. Apply AI where it counts: Use AI/LLM-assisted test generation, self-healing locators, flake triage, and test-impact analysis to reduce toil and raise signal. Simplify the SDLC: With DevOps, streamline pipelines, test data management, environment provisioning, and release guardrails for faster flow. Solve hard problems with architects: Tackle cross-cutting issues (auth, data, performance, flakiness) and retire tech debt with durable solutions. Build the right tests: Expand reliable web/UI, API, and integration coverage; harden environments and test data. Coach and elevate: Mentor QA engineers, review automation code, and set standards for readability, reliability, and maintainability. Measure what matters: Stand up live dashboards (coverage, pass/fail, flakiness, MTTR) to inform decisions and continuously raise the bar. Own root cause: Lead deep-dive debugging across test and prod, driving prevention-not just fixes. Your Toolbox (What We Use & Value) Languages/Frameworks: Java, JUnit, Maven; BDD with Cucumber/Gherkin. Automation: Selenium WebDriver (today); informed experience with Playwright (Java/TypeScript) a plus. CI/CD & SCM: Jenkins, GitHub Actions; GitHub for collaboration. Observability & Metrics: Grafana (quality and performance dashboards). Backend/Platform context: Spring Boot/Spring Security; Oracle DB; FileNet/content systems. Scripting: PowerShell or similar for utilities. Quality practices: Testing pyramid, risk-based design, code reviews, and environment parity. Where We're Headed (And Where You'll Lead) GitHub-native CI/CD: Standardize on GitHub pipelines for frequent, automated deployments-define branch strategy, environment promotions, and reusable workflows that make shipping safe by default. Reliable testing for high velocity: Build a strategy that scales with cadence-PR checks, contract/API tests, fast UI smoke suites, test-impact analysis, deterministic data & ephemeral envs, parallelization, and rigorous flake control. AI-assisted, data-driven quality: Apply LLM-assisted test generation/self-healing and enforce quality gates backed by live dashboards (coverage, flakiness, MTTR, DORA) to boost signal and confidence. Framework evolution (tool-agnostic): Evaluate and pilot modern UI/API automation options against clear criteria (reliability, speed, parity, maintainability, ROI) and recommend phased adoption that protects delivery. What You Bring 10+ years in QA/automation with 5+ years leading/architecting frameworks. Proven success embedding automated quality gates into CI/CD for high-velocity releases. Track record mentoring engineers and raising the bar on code quality and test design. Comfort collaborating with architects and senior engineers on systemic quality problems. Nice-To-Have Experience introducing AI tooling (e.g., Copilot, test-gen, self-healing) into real teams. Performance, security, or contract-testing exposure. Work Setup & Logistics Hybrid: Mostly remote; design/whiteboard sessions in Phoenix as needed. Equipment: Personal laptop required; Windows workstation provided for remote access. Eligibility: Must be AZ-local and able to work for any U.S. employer (no sponsorship).
System One
Washington, Washington DC
Job Description Job Description Senior GIS/AWS Developer Washington, DC - 100% Onsite Must live locally Per Federal contract U.S. citizenship is required Must be able to pass Federal Background Check (2-3 week process) Multi- year contract W2 weekly pay with benefits OR C2C MUST INTERVIEW IN PERSON IN WASHINGTON DC This position requires a highly skilled professional with extensive experience in full-stack software development, cloud-based application architecture, and the ability to translate complex business requirements into efficient, scalable technical solutions. The ideal candidate will have strong expertise in AWS services, ESRI geospatial technologies, and experience leveraging AI tools like Claude for development productivity. This role requires analytical skills, technical leadership, and experience working in Agile environments to deliver high-quality solutions that meet business and technical standards. Work Experience: • Software Development: Minimum 7 years of programmer/analyst experience developing software according to SDLCs with proven track record delivering complex applications • AWS & Modern Tools: Minimum 3 years hands-on experience with AWS services and modern web frameworks; experience with Angular, .Net, ECS, and Terraform • AI-Assisted Development: Experience using Claude or similar AI tools (ChatGPT, GitHub Copilot) to enhance development productivity, code generation, and problem-solving • Geospatial Development: Experience with ESRI technologies (ArcGIS, ArcGIS Online, ArcGIS Server, or similar, APIs) developing interactive maps and geocoding functionality • Technical Analysis: Strong analytical skills with experience in system analysis, design, and translating business requirements into technical solutions • Database Experience: Knowledge of relational and NoSQL database development, design, and optimization • Team Leadership: Experience providing technical direction and ensuring project deadlines are met Technical Skills: • Bachelor's degree in computer science or related IT field, or equivalent experience • Development Languages & Frameworks: o Strong programming skills o Proficiency in Angular for frontend development o Experience with modern web development practices • AWS & Infrastructure: o AWS services (ECS, S3, RDS, Lambda, API Gateway) o Terraform for Infrastructure as Code o Containerization with Docker and ECS o Understanding of cloud-native architecture patterns • AI Tools: o Experience using Claude for development tasks (code generation, debugging, documentation) o Familiarity with AI-assisted development workflows o Experience with prompt engineering for development use cases • ESRI: ArcGIS platform, JavaScript API, geocoding services, spatial analysis, integration with AWS • DevOps & Tools: o GitLab for version control and CI/CD o Experience with GitLab pipelines o Agile methodologies (Scrum, Kanban) • Proficiency in creating technical documentation (data flow diagrams, architecture documentation) • AWS certifications are a plus Key Responsibilities: • Analyze complex system requirements and design cloud-native software solutions in AWS • Develop and maintain geospatial applications using ESRI technologies (map creation, geocoding) • Leverage Claude and other AI tools to enhance development productivity and code quality • Work with Terraform for Infrastructure as Code and ECS for containerized deployments • Write clean, efficient code following best practices and develop comprehensive documentation • Develop frontend applications using Angular • Manage software configuration in GitLab and optimize applications for cloud performance • Collaborate with cross-functional teams using Agile methodologies • Conduct testing, debugging, and code reviews to ensure quality • Support production systems and troubleshoot issues Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions. Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.
Job Description Job Description Senior GIS/AWS Developer Washington, DC - 100% Onsite Must live locally Per Federal contract U.S. citizenship is required Must be able to pass Federal Background Check (2-3 week process) Multi- year contract W2 weekly pay with benefits OR C2C MUST INTERVIEW IN PERSON IN WASHINGTON DC This position requires a highly skilled professional with extensive experience in full-stack software development, cloud-based application architecture, and the ability to translate complex business requirements into efficient, scalable technical solutions. The ideal candidate will have strong expertise in AWS services, ESRI geospatial technologies, and experience leveraging AI tools like Claude for development productivity. This role requires analytical skills, technical leadership, and experience working in Agile environments to deliver high-quality solutions that meet business and technical standards. Work Experience: • Software Development: Minimum 7 years of programmer/analyst experience developing software according to SDLCs with proven track record delivering complex applications • AWS & Modern Tools: Minimum 3 years hands-on experience with AWS services and modern web frameworks; experience with Angular, .Net, ECS, and Terraform • AI-Assisted Development: Experience using Claude or similar AI tools (ChatGPT, GitHub Copilot) to enhance development productivity, code generation, and problem-solving • Geospatial Development: Experience with ESRI technologies (ArcGIS, ArcGIS Online, ArcGIS Server, or similar, APIs) developing interactive maps and geocoding functionality • Technical Analysis: Strong analytical skills with experience in system analysis, design, and translating business requirements into technical solutions • Database Experience: Knowledge of relational and NoSQL database development, design, and optimization • Team Leadership: Experience providing technical direction and ensuring project deadlines are met Technical Skills: • Bachelor's degree in computer science or related IT field, or equivalent experience • Development Languages & Frameworks: o Strong programming skills o Proficiency in Angular for frontend development o Experience with modern web development practices • AWS & Infrastructure: o AWS services (ECS, S3, RDS, Lambda, API Gateway) o Terraform for Infrastructure as Code o Containerization with Docker and ECS o Understanding of cloud-native architecture patterns • AI Tools: o Experience using Claude for development tasks (code generation, debugging, documentation) o Familiarity with AI-assisted development workflows o Experience with prompt engineering for development use cases • ESRI: ArcGIS platform, JavaScript API, geocoding services, spatial analysis, integration with AWS • DevOps & Tools: o GitLab for version control and CI/CD o Experience with GitLab pipelines o Agile methodologies (Scrum, Kanban) • Proficiency in creating technical documentation (data flow diagrams, architecture documentation) • AWS certifications are a plus Key Responsibilities: • Analyze complex system requirements and design cloud-native software solutions in AWS • Develop and maintain geospatial applications using ESRI technologies (map creation, geocoding) • Leverage Claude and other AI tools to enhance development productivity and code quality • Work with Terraform for Infrastructure as Code and ECS for containerized deployments • Write clean, efficient code following best practices and develop comprehensive documentation • Develop frontend applications using Angular • Manage software configuration in GitLab and optimize applications for cloud performance • Collaborate with cross-functional teams using Agile methodologies • Conduct testing, debugging, and code reviews to ensure quality • Support production systems and troubleshoot issues Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions. Company Description System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.
Vantor
Westminster, Colorado
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline-products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations. Requirements Put security first: protect company, customer, mission, and operational data through secure-by-design engineering, least-privilege access, secrets management, threat-aware automation, and strong security and compliance practices. Design, implement, and maintain reliable CI/CD pipelines for software projects, including automated testing, quality gates, artifact management, release promotion, rollback, and deployment verification. Automate deployment, scaling, configuration, and monitoring of cloud-based infrastructure using technologies such as Kubernetes, Docker, Terraform, and Google Cloud services including Cloud Run. Troubleshoot infrastructure, deployment, availability, latency, capacity, and performance issues across distributed systems. Collaborate with software development teams to optimize code and services for performance, scalability, reliability, operability, and cost efficiency. Implement and enforce best practices for security, compliance, change management, incident response, and operational readiness. Continuously evaluate and recommend improvements to DevOps, SRE, developer productivity, observability, and platform engineering processes and tools. Demonstrated experience as a full-stack or backend software developer, with the ability to write maintainable production code-not only configuration and infrastructure definitions. Professional experience developing in Python and working with APIs, services, databases, automated tests, and source-control workflows. Strong communication and collaboration skills, with the ability to explain technical tradeoffs and partner effectively with engineering, product, security, and customer-facing teams. Responsibilities Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews. Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components. Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover. Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior. Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts. Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness. Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support. Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints. Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle. Nice to Haves Experience with geospatial information systems (GIS), mapping, spatial data, or location-based applications. Experience working with satellite imagery, aerial imagery, remote sensing, computer vision, or other earth-observation data. Prior military, intelligence, defense, national security, or mission operations experience. Experience operating software in disconnected, air-gapped, classified, or otherwise highly controlled environments. Experience with AI/ML platform operations, model-serving infrastructure, evaluation pipelines, or responsible AI practices. Experience with PostgreSQL or other production databases, query and schema optimization, caching, and data lifecycle management. Experience with infrastructure-as-code, GitOps, policy-as-code, and supply-chain security. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline-products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations. Requirements Put security first: protect company, customer, mission, and operational data through secure-by-design engineering, least-privilege access, secrets management, threat-aware automation, and strong security and compliance practices. Design, implement, and maintain reliable CI/CD pipelines for software projects, including automated testing, quality gates, artifact management, release promotion, rollback, and deployment verification. Automate deployment, scaling, configuration, and monitoring of cloud-based infrastructure using technologies such as Kubernetes, Docker, Terraform, and Google Cloud services including Cloud Run. Troubleshoot infrastructure, deployment, availability, latency, capacity, and performance issues across distributed systems. Collaborate with software development teams to optimize code and services for performance, scalability, reliability, operability, and cost efficiency. Implement and enforce best practices for security, compliance, change management, incident response, and operational readiness. Continuously evaluate and recommend improvements to DevOps, SRE, developer productivity, observability, and platform engineering processes and tools. Demonstrated experience as a full-stack or backend software developer, with the ability to write maintainable production code-not only configuration and infrastructure definitions. Professional experience developing in Python and working with APIs, services, databases, automated tests, and source-control workflows. Strong communication and collaboration skills, with the ability to explain technical tradeoffs and partner effectively with engineering, product, security, and customer-facing teams. Responsibilities Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews. Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components. Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover. Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior. Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts. Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness. Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support. Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints. Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle. Nice to Haves Experience with geospatial information systems (GIS), mapping, spatial data, or location-based applications. Experience working with satellite imagery, aerial imagery, remote sensing, computer vision, or other earth-observation data. Prior military, intelligence, defense, national security, or mission operations experience. Experience operating software in disconnected, air-gapped, classified, or otherwise highly controlled environments. Experience with AI/ML platform operations, model-serving infrastructure, evaluation pipelines, or responsible AI practices. Experience with PostgreSQL or other production databases, query and schema optimization, caching, and data lifecycle management. Experience with infrastructure-as-code, GitOps, policy-as-code, and supply-chain security. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.