199 jobs found

Position Overview We're looking for a Senior Full-Stack Software Engineer to design, build, and modernize the enterprise applications that power Rooms To Go's supply chain. These systems support inventory planning, purchasing, replenishment, supplier collaboration, and operational decision-making, helping ensure the right products are available at the right place and time to meet customer demand. This role is ideal for a software engineer with 5+ years of professional full-stack development experience who enjoys solving complex business challenges with scalable, reliable software. You'll partner closely with Supply Chain, Purchasing, Operations, and Product teams to develop solutions that improve inventory availability, automate business processes, reduce operational costs, and drive continuous improvement across the organization. Rather than building customer-facing websites or e-commerce features, you'll focus on the business-critical systems that keep our supply chain running efficiently and directly impact purchasing decisions, inventory flow, and the overall customer experience. Responsibilities: Design, develop, and maintain full-stack supply chain applications using JavaScript, Vue.js and/or React, C#, and .NET Core. Develop business applications that improve inventory availability, purchasing, replenishment, shipment planning, and overall supply chain efficiency. Build and enhance software that automates business processes, streamlines workflows, reduces manual effort, and supports smarter purchasing decisions while reducing inventory shortages and operational costs. Design and maintain backend APIs, business services, integrations, and application logic using C# and .NET Core. Develop intuitive front-end applications that support inventory visibility, purchasing workflows, exception management, approvals, prioritization, reporting, and operational decision-making. Design, maintain, and optimize relational databases and data models supporting products, vendors, inventory, purchase orders, sales demand, lead times, and fulfillment. Integrate enterprise applications with ERP, warehouse management systems (WMS), supplier platforms, reporting tools, third-party systems, and internal business applications. Collaborate with Supply Chain, Purchasing, Operations, Finance, Sales, Product, QA, and Engineering teams to translate complex business requirements into scalable, maintainable software solutions. Participate in application architecture, technical design, and code reviews, ensuring solutions are secure, scalable, maintainable, and aligned with long-term business objectives. Mentor junior developers through code reviews, technical discussions, documentation, and knowledge sharing while promoting engineering best practices. Create and maintain technical documentation, including API documentation, system architecture, data flows, implementation decisions, and deployment or support guides. Troubleshoot production issues, perform root cause analysis, and implement long-term solutions that improve application stability and reliability. Qualifications: 5+ years of professional software development experience building full-stack, enterprise business applications. Strong full-stack development experience with JavaScript, modern web frameworks (Vue.js and/or React), and backend development using C#, .NET Core, and ASP.NET Core. Experience designing and developing backend APIs, business services, integrations, and data-driven applications. Experience building and supporting enterprise software, internal business systems, operational platforms, workflow tools, dashboards, reporting applications, or similar business-critical solutions. Strong understanding of relational databases, including data modeling, SQL queries, stored procedures, performance tuning, and application data access patterns. Experience translating complex business processes and workflows into scalable, maintainable software solutions while supporting systems where accuracy, reliability, and business continuity are critical. Strong understanding of API design, authentication, authorization, validation, error handling, logging, and secure coding best practices. Experience with Git-based development workflows, including branching strategies, pull requests, code reviews, and Agile/Scrum methodologies. Demonstrated ability to mentor other developers, contribute to technical decision-making, and produce clear technical documentation. Strong analytical, problem-solving, and communication skills with the ability to balance engineering quality, business priorities, operational urgency, and delivery timelines. Supply Chain Experience: Direct supply chain experience is highly desirable but not required. The ideal candidate should be excited to learn and work within business domains such as: Inventory management, including inventory availability, replenishment, purchasing, purchase order management, sales demand, demand planning, backorders, stockouts, lead times, fulfillment, and shipment prioritization. Supply chain optimization, including cost reduction, process automation, and continuous improvement. Enterprise supply chain technologies, including ERP, warehouse management systems (WMS), and integrations with internal and third-party business systems. Operational decision support, including exception-based workflows, reporting, dashboards, and business process visibility. Preferred Experience: Cloud, DevOps, and AI development tools, including Azure, Azure DevOps, GitHub Actions, Infrastructure as Code (IaC), GitHub Copilot, Azure AI, or similar technologies. Enterprise business systems, including ERP, WMS, supply chain, purchasing, inventory, order management, forecasting, replenishment, business process automation, reporting, analytics, and operational software. Modern application architecture, including microservices, service-oriented architecture (SOA), Docker, containerized applications, and enterprise application development. Application monitoring, modernization, and integration, including Application Insights, Datadog, New Relic, modernizing legacy .NET applications, and integrating with third-party systems and APIs.

Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Software Engineer (AI Focus). We are seeking a Software Engineer I with a focus on AI to support analysts and operators by developing and refining the software that integrates AI capabilities into CNO workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will work under the guidance of senior engineers to ensure AI tools are stable, reliable, and seamlessly integrated into the customer's existing toolset. Responsibilities : Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production. Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents. Interact with mission stakeholders to elicit requirements and devise solutions. Navigate customer data types to identify and extract relevant information. Collaborate with other software engineers to test workflows, identify issues, and recommend pathways for fixes. Candidates should have the following qualifications: TS/SCI Clearance with polygraph 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Candidates are desired to have the following skills: Proficiency in Python, particularly in handling JSON, interacting with REST APIs, and data manipulation. Experience leveraging HTTP-based APIs to access data through queries. Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. Familiarity with software source control (Git) and the Atlassian tool suite (Jira, Confluence). Familiarity with presenting data analysis results to customers. Nice to Haves: Experience with agentic workflows and multi-agent orchestration. Basic knowledge of end-to-end SIGINT collection and analysis systems. Background in cybersecurity or understanding of security operations workflows. Gitlab CICD automation. Experience with retrieval systems (RAG, vector databases, semantic search). Familiarity with production CNO capabilities and operations. Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs). Familiarity with cloud computing technologies (AWS, Docker, Kubernetes). Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $70,000 to $190,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR Wl0U8BYt2N

Job Description Job Description Job Title: Junior Front End Engineer Location: Los Angeles, California, US (On-site) Company: Forge, A Tech-Powered Creative Agency About Us: At Helios, we embrace the power of innovation and forward-thinking, understanding that ideas can transcend borders and create a ripple effect globally. We pride ourselves on our ability to turn pragmatic concepts into proven realities, making excellence in execution our standard. In a world where change is the only constant, we thrive on the edge, transforming ambition into tangible success. Our company was founded on a vision of illuminating new possibilities for our clients. From the very beginning, we've been dedicated to guiding businesses to new heights, evolving from a spark of inspiration into a guiding light in the industry. We see growth as an ongoing journey, continually pushing the limits, embracing new challenges, and learning from every experience. Forge is a subdivision of Helios WorldWide, a dynamic, tech-powered creative agency that blends art and technology to create innovative solutions for a pragmatic tomorrow. We specialize in harnessing the power of AI, immersive experiences, and cutting-edge development to drive our clients' success across various industries. Our global collective of creative developers, immersive scientists, and digital alchemists is dedicated to pushing the boundaries of what's possible. Job Overview: The Junior Front-End Engineer sits at the exact intersection of UI/UX implementation, creative engineering, and modern web development. In this role, you will bring high-end client experiences to life-translating Figma design systems into clean, responsive, and performance-optimized execution across Webflow, Vue.js, and Nuxt.js. Working under the direct guidance of Senior Creative Engineering staff, you will construct modular UI components, maintain web design systems, and ensure pixel-perfect fidelity across all digital touchpoints. Responsibilities Front-End Development & CMS Architecture: Assist in building, staging, and maintaining responsive websites using Webflow, Vue.js, and Nuxt.js, adhering strictly to component-based architecture and modern clean-code standards. Figma-to-Code Implementation: Faithfully translate Figma UI/UX designs, wireframes, component variants, and interactive prototypes into high-fidelity web pages, ensuring exact spacing, typography hierarchy, and asset specs. Custom Styling & Componentization: Customize Webflow CMS structures and dynamic templates using custom HTML/CSS/JS, reusable code blocks, and structured layout logic. Animations & Interactive Touches: Partner with senior engineers and designers to implement smooth UI transitions, micro-interactions, and scroll animations using CSS and animation libraries. Optimization & QA Precision: Perform asset compression, site speed optimization, cross-browser debugging, and mobile responsiveness checks to guarantee flawless execution across all viewports. Bug Fixing & Regressions: Identify, troubleshoot, and resolve routine front-end bugs, broken links, styling regressions, and layout shifts across active staging environments. Integrations & Analytics Support: Assist in configuring, embedding, and testing third-party tools, APIs, webhooks, and marketing analytics tags. Documentation & Code Reviews: Maintain clean code documentation, follow team web standards, and actively participate in code reviews to accelerate your technical growth. Technical Skill Set & Tooling Experience: 1-2 years of hands-on, professional front-end development experience in an agency, tech studio, or fast-paced collaborative environment. Core Web Stack: Strong foundational command of HTML5, modern CSS3 (Flexbox, CSS Grid, custom properties), and JavaScript (ES6+), with a mobile-first mindset. Frameworks & CMS: Practical experience building in Webflow alongside component-based frameworks (Vue.js and Nuxt.js preferred; React is a plus). Figma Mastery for Devs: Solid proficiency inspecting Figma files, working with component variants, auto-layout structures, and extracting web-optimized SVGs/assets. APIs & Data Basics: Foundational understanding of RESTful APIs, JSON parsing, and basic Server-Side Rendering (SSR) concepts to support dynamic integrations. Version Control: Functional experience using Git and GitHub/GitLab for branching, pull requests, and collaborative workflows. Nice-to-Haves Experience with web animation libraries such as GSAP (GreenSock) or Framer Motion. Practical understanding of WCAG (Web Content Accessibility Guidelines) standards. Basic familiarity with Python. Powered by JazzHR rnBU1p1XkZ

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.

Job Description Job Description Hello, "Join GD Resources for dynamic opportunities in business management and IT, where innovation meets excellence." About the Company: GD Resources is a Veteran Women-Owned Business Management and Information Technology company committed to excellence. GD Resources provides dynamic opportunities for veterans and professionals alike to contribute to innovative projects and drive success in a collaborative and supportive environment. Join us to make a difference, advance your career, and grow with a company that values integrity, diversity, and continuous improvement. Experience8-12 YearsClientNew York City - DoITTDuration6 MonthsPrimary SkillsIOS, Android, JIRA, azure, Product Manager, Trello, DevOpLocation Brooklyn, NY, 11201 Job Start Date2026-05-04Remote JobNoRequired Hours/Week35Job TypeContract Public Job TitleMid Level - Mobile App Developer (iOS & Android)Public Job DescriptionNYC Office of Technology and Innovation Job Title: Mid Level - Mobile App Developer (iOS & Android) Duration: 6+ Months with possible extension Location: 15 Metrotech Center, Brooklyn, NY 11201 Position Type: Contract Interview Type: Webcam/In-person Note: Normal Business Hours, Monday through Friday (not including a mandatory unpaid meal break after 6 hours of work), 35 work hours per week. If the consultant works more than 35 hours per week, the consultant must request overtime in the Agency's timekeeping system, and the project manager must approve those hours worked above the weekly maximum. SCOPE OF SERVICES: The developer will be responsible for overseeing the end-to-end technical execution of the new features in the NYC Secure App on iOS and Android and development of other digital resources as needed. The developer will deliver a scalable, privacy-centric systems that integrates with existing NYC data services, workflows, and web platforms. Job Description: The NYC Office of Technology and Innovation has been tasked with re-designing the NYC Secure App and an associated campaign to provide New Yorkers with a comprehensive set of tools and resources to prevent scam phone calls and text messages, educate vulnerable New Yorkers on prevention, and support New Yorkers with the resources they need when they have been victimized. Each year New Yorkers lose an estimated $6.5B to online and phone based scams, yet the city provides no systematic approach to protecting residents - this project will develop the technology and strategy to address that gap across OTI's programs including Cybersecurity, 311, and Digital Equity. TASKS: Develop quality code that is well-documented, testable, and production-ready Be proactive and seek feedback to ensure best practice solutions that meet business needs Building web solutions that are scalable and secure and align with overall city digital architecture Write and conduct unit testing as agreed with the City Engineering leads. Communicate technical decisions, needs, and priorities to engineers, product managers, and designers as part of a user-centered agile product delivery team Design the core logic with the existing vendor for the mobile application on iOS and Android to provide scam and spam protection for calls and texts. Build a responsive, accessible frontends resource sites that ensures a consistent experience across all browser types and mobile devices and leverages the NYC Design System. Apply rigorous industry-standard privacy and security standards and protocols to ensure that all user data remains private and secure. Develop the technical bridges necessary to route digital reporting data into existing intake and reporting systems. If necessary, learn new programming languages or frameworks, with help from City Engineering leads, to complete software development and testing tasks. Attend, participate, and assist in architecture, approach, and technical strategies as appropriate and requested by City Engineering leads. Mandatory Skills: At least 4 years of experience as a software engineer or application developer Experience building responsive websites with full-stack expertise Experience collaborating with product designers on cross-functional teams to ensure the best user experience. Experience working with Git based workflows Experience working in story-based workflows (e.g., Azure DevOps, JIRA, Trello, or other story or kanban-style workflow) Experience leading technical design and writing implementation planning documents Strong verbal and written communication skills Regards, Srikanth (Sri) Senior Recruiter Phone: Email: Powered by JazzHR I8bEmzW0Mq

Job Description Job Description Please do not apply if you are not a U.S. Citizen and/or if you don't have DHS Suitability or Capable of passing DHS suitability screening or DHS financial responsibility standards Location: Frequent on-site meetings at the TSA Headquarters in Springfield, VA & the TSA System Integration Facility (TSIF) at Reagan National Airport (DCA), Arlington, VA Clearance Level: DHS Security Clearance or eligibility (Capable of passing DHS suitability screening or DHS financial responsibility standards) Workplace Type: Remote/Telework U.S. Citizenship Required Job Description Overview ADS is seeking a STIP Senior Level Software Tester position responsible for executing test cases, identifying defects, documenting issues, and helping ensure software applications meet quality standards. The candidate will work closely with software developers, senior systems engineers, and senior architects. This position requires proficiency in design and execution of detailed test plans and test cases. Candidates will lead functional testing, regression testing, integration testing, system testing, User Acceptance Testing (UAT), API testing, performance testing, validate software against business and technical requirements, identify, document, prioritize, and track defects. The ideal candidate demonstrates strong problem-solving skills, writes clean and maintainable code, and leads systems testing/quality assurance/verification & validation discussions and improvements. Experience with automated testing solutions is a plus. Responsibilities Test software applications in programming languages such as Java, C#, C++, ASP.Net, Python, JavaScript. Participate in all phases of the software development lifecycle, including planning, design, development, testing, deployment, and maintenance. Collaborate with product owners, designers, and Quality Assurance teams to deliver high-quality, user-focused solutions. Debug, test and resolve software defects and performance bottlenecks. Write and maintain technical documentation including code comments, manuals, and API references. Familiar with Agile Software Development such as SAFe and other Agile Tools such as Github, JIRA Follow best practices in version control (e.g., Git), agile development, and CI/CD pipelines. Ensure software complies with security, accessibility, and quality standards (e.g., OWASP, Section 508, NIST). Contribute to architectural decisions and recommend improvements for existing applications and systems. Stay updated on emerging technologies and industry trends relevant to the team's tech stack. Provide support and mentoring to junior developers and database administrators. Qualifications - Required Bachelor's degree in computer science, Software Engineering, or related fields. 15+ years of hands-on experience in software testing. Java/Spring MVC and Spring Boot experience are highly preferred. Single Sign On (SSO) / session management / complex permissions environments. Deep understanding of object-oriented programming, data structures, and algorithms. Scala/Http4s experience desired. Data engineering skills are also desirable. Specifically, "ETL" (extract, transform, load) experience. Proficiency in one or more backend languages (e.g., Java, .Net, Node.js) and frontend frameworks (e.g., React, Angular, Vue.js). Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with RESTful APIs, microservices architecture, and containerization (e.g., Docker, Kubernetes). Strong understanding of software development best practices and design patterns. Experience with automated testing solutions (e.g., Postman). Experience using Agile methodologies (e.g., Scrum, Kanban). Qualifications - Desired Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience working in DevOps environments with tools like Jenkins, Gitlab CI/CD, or GitHub Actions. Familiarity with automated testing frameworks (e.g., Junit, PyTest, Jest). DHS Security Clearance or eligibility. Relevant certifications (e.g., AWS Developer Associate, Mircosoft Certified Developer). Experience in DevSecOps or Infrastructure as Code (IaC) environments. Powered by JazzHR epXUa3kmkA

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER I- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active Secret or TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $280,725-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: . click apply for full job details

AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Senior / Staff Software Engineer - AI Products A fantastic opportunity for a Senior or Staff Software Engineer to join an innovative AI software company building products that help businesses understand their customers and make better decisions. You will own substantial features across an AI-powered research platform, combining intuitive user experiences with reliable backend systems. This role requires early-stage startup experience, strong full-stack React and TypeScript skills, and a Computer Science degree from a top-30 university. Location: New York, NY. In-office, five days per week. Relocation support available. Salary: $200,000 - $300,000 annual base salary + equity Requirements for Senior / Staff Software Engineer: Typically 4+ years of professional experience in full-stack or product engineering, although exceptional candidates with some commercial experience and clear evidence of outstanding achievement will also be considered. Experience working at an early-stage startup, from Seed through Series D, ideally within a fast-growing business with high engineering standards Bachelor's degree in Computer Science from a highly ranked leading University, with a history of excellent academic achievements Strong hands-on React and TypeScript experience, with substantial engineering capability across both frontend and backend Personal ownership of a major product, feature or platform from initial concept through to production, with measurable outcomes Strong product judgment and a natural interest in building great user experiences Evidence of standout achievement, such as rapid promotions, coding competition success, technical awards, or founder/founding engineer experience Ability to take ownership and deliver within a fast-paced environment with evolving requirements Strong independent coding and debugging skills; AI coding tools are not permitted during technical assessments Strong communication skills and the ability to collaborate with product and design teams Able to work from the New York office five days per week B2B product experience and familiarity with Python, Go or LLM-powered applications are beneficial Responsibilities for Senior / Staff Software Engineer: Own major product features from initial requirements through to production release Build conversational interfaces and tools that help users explore analysis and insights Develop participant recruitment and self-service research functionality Create intuitive user experiences in collaboration with product and design teams Develop backend services, APIs and distributed systems supporting the platform Connect LLM pipelines with reliable application services and interfaces Contribute to shared design systems and consistent product experiences Improve platform performance, reliability and usability What this role offers: The opportunity to build AI-powered products that turn customer feedback into actionable business insights End-to-end ownership of substantial features within a highly skilled engineering, product and design team A competitive base salary and equity opportunity, with challenging work across full-stack development and AI functionality Applications: If you would like to apply for this unique Software Engineering role, please submit your resume through the relevant application link! We're committed to creating an inclusive and accessible hiring process. If you require reasonable accommodations for your application or during the review process, please let us know by separately emailing (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K

This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Your Role The CoPilot Studio Solution Architect is a senior technical leader responsible for the end-to-end architecture, design, and delivery of agent and copilot solutions built on Microsoft CoPilot Studio across Invesco. This role defines the reference architectures, integration standards, and governance patterns for low-code AI agents that connect Microsoft 365 and core enterprise systems. The Architect partners with business and technology stakeholders to translate priority use cases into secure, scalable, production-grade copilot experiences aligned with Invesco's AI strategy, risk posture, and regulatory obligations. The role requires deep hands-on expertise across the Microsoft AI stack, a pragmatic delivery mindset, and the ability to translate emerging agentic capabilities into measurable business value. You Will Be Responsible For: Solution Architecture & Design Define and own the target architecture for CoPilot Studio agents at Invesco, including topic design, generative orchestration, knowledge sources, plugins, connectors, and handoff patterns to Microsoft 365 Copilot. Establish reference patterns for integrating CoPilot Studio with existing Invesco applications, infrastructure (including Cloud across Azure & AWS), and SaaS platforms. Lead architectural reviews, design-authority sign-off, and technical due diligence for new copilot use cases across the enterprise. Delivery & Engineering Leadership Partner with product owners, business analysts, and makers to translate business needs into agent designs, conversation flows, and grounded knowledge strategies. Oversee the hands-on build of priority copilots - authoring topics, prompts, plugins, and custom connectors - and coach engineering teams on best practice. Drive Application Lifecycle Management, source control, environment strategy, and CI/CD for CoPilot Studio solutions using Power Platform Pipelines and Azure DevOps / GitHub. Governance, Security & Responsible AI Define and enforce guardrails for CoPilot Studio - Data Loss Prevention policies, environment strategy, authentication (Entra ID, SSO, On-Behalf-Of flows), data residency, and content moderation. Embed Responsible AI principles - grounding, citations, evaluation, red-teaming, and human-in-the-loop - into every solution delivered. Ensure all copilots meet Invesco's information security, privacy, regulatory, and audit requirements. Business Partnership & Stakeholder Engagement Act as the trusted technical advisor to business sponsors, evangelizing both the capabilities and the realistic limits of CoPilot Studio and agentic AI. Build and run a CoPilot Studio centralized practice covering standards, templates, maker enablement, and a value-tracking framework. Operational Excellence Establish observability, telemetry, conversation analytics, and quality metrics for production agents. Contribute to the management of capacity, consumption, licensing (messages, AI Builder credits, premium connectors), and total cost of ownership across the CoPilot Studio estate. Align CoPilot Studio delivery with Invesco's modern delivery models and product-aligned engineering teams. The experiences you Bring Minimum 8+ years in solution architecture or senior engineering roles, with at least 2+ years hands-on with Microsoft CoPilot Studio (and/or predecessor Power Virtual Agents) delivering production agents. Deep, demonstrable expertise across the Microsoft Power Platform - Power Automate, Power Apps, Dataverse, and AI Builder - together with Microsoft 365 Copilot extensibility (declarative agents, API plugins, connectors, and the CoPilot Studio agent builder). Strong working knowledge of Azure AI services - Azure OpenAI, Azure AI Search (vector and hybrid retrieval), Azure AI Foundry, Document Intelligence, and Content Safety. Proven experience with conversational design, prompt engineering, retrieval-augmented generation (RAG), evaluation frameworks, and agent orchestration patterns, including multi-agent and Microsoft 365 Copilot handoff. Solid grounding in identity (Entra ID, OAuth 2.0, On-Behalf-Of flow), Microsoft Graph, SharePoint, and enterprise integration patterns (REST, Logic Apps, API Management). Experience operating within regulated environments - financial services preferred - including data classification, DLP, and audit controls. Demonstrated ability to lead architectural governance forums and mentor multi-disciplinary teams of professional developers and citizen makers. Experience with Power Platform CLI, and Power Platform Pipelines for end-to-end ALM. Relevant Microsoft certifications (e.g. AB-100, PL-600, PL-400, AI-102) would be a distinct advantage. Experience integrating CoPilot Studio with line-of-business platforms in asset management, wealth, or capital markets would be a distinct advantage. Architectural Thinking: Able to design coherent, scalable, and secure end-to-end solutions that span low-code, pro-code, AI, and enterprise integration layers. Technical Excellence: Superior hands-on knowledge of CoPilot Studio, Power Platform, and Azure AI; able to translate technical capabilities into clear business value. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.

Job Description Job Description Senior Electrical Engineer, Robotics About you and this role Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI, and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible, and genuinely autonomous. As a Senior Electrical Engineer at Robust AI, you will join a small, fast-paced team designing and deploying the next generation of warehouse robotic systems. You'll own schematic capture and board layout for custom PCBs, get your hands dirty debugging and bringing up hardware on our current robot fleet, and help inform the design of our next-generation robot. You thrive in ambiguity, move quickly, and are comfortable wearing multiple hats - the kind of engineer who's happiest when a scope, a soldering iron, and a stack of datasheets are all within arm's reach. You're excited about seeing robots deployed at scale, and you can pivot effectively as priorities shift in an early-stage startup environment. Main responsibilities Design, prototype, and iterate custom PCBs for the robot, from schematic capture through board layout Hands-on bring-up, debugging, and testing of electrical hardware on our current robot fleet Collaborate with the team to formulate electrical architecture and inform next-generation robot design Generate design documentation and lead design reviews Conduct bench modifications and rapid hardware prototyping to unblock development Engage with cross-functional engineering team members (mechanical, firmware, software) to fulfill and enhance performance requirements while optimizing hardware/firmware interfaces Support firmware integration, testing, and debugging alongside the firmware team as needed Work directly with fab houses and contract manufacturers to take boards from prototype through production Minimum qualifications Bachelor's degree in electrical engineering, computer engineering, or equivalent 5+ years of experience in electrical/hardware engineering Strong electrical and embedded systems fundamentals Experience with schematic capture and PCB layout (Altium preferred) Proven track record of releasing boards to production, with designs that meet EMC compliance requirements Hands-on experience debugging complex electromechanical hardware with tools such as scopes, logic analyzers, and DMMs Familiarity with communication protocols such as USB, I2C, SPI, UART, RS485, etc. Comfortable working in a fast-paced, early-stage startup environment and able to pivot effectively as priorities change Strong written and verbal communication skills, with the ability to communicate complex technical concepts clearly to both technical and cross-functional audiences Preferred qualifications (bonus) Firmware development in C Python scripting and comfort working in Linux environments Proficiency with microcontrollers, preferably the STM32 family Familiarity with BLDC motors and motor control Background in robotic or mechatronic systems What we offer Base pay between $160,000 and $200,000, depending on your skills, qualifications, and experience Stock options and huge potential for growth Strong startup (and fun) culture Medical, dental, and vision coverage Flexible vacation and sick leave practices Paid parental leave Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all. 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.

AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Job Title: Senior Application Developer - .NET with GIS Location: New York, NY 10271 Contract Duration: 18 Months NO BENEFITS Minimum Experience: 8+ Years Interview Process: In-Person Interview Only Important Note: Candidates must be available for an in-person interview when the interview process begins to be considered. Key Requirement: Minimum of 4 years of experience in ArcGIS Pro and/or ArcMap-based GIS solution design and development. Job Summary We are seeking an experienced Senior Application Developer specializing in .NET technologies and Geographic Information Systems (GIS). The ideal candidate will have strong full-stack development experience, expertise in Microsoft Azure and SQL Server, and hands-on experience designing, developing, and enhancing GIS applications using Esri technologies. The candidate will be responsible for developing scalable applications, creating custom GIS tools, managing spatial data, integrating enterprise systems, and optimizing application performance. Strong problem-solving, communication, and collaboration skills are essential. Key Responsibilities Develop full-stack applications using Microsoft .NET technologies, including C#, VB.NET, ASP.NET, .NET Core, .NET 9.0, Entity Framework, JavaScript libraries, and ArcGIS Maps SDK for .NET. Analyze, design, and develop application interfaces and integration workflows using Visual Studio and related development tools. Design, develop, and optimize database structures and SQL queries using Microsoft SQL Server. Utilize Microsoft Azure services, including Azure App Service, Azure SQL Database, and Azure Functions, to develop scalable and reliable cloud-based applications. Integrate GIS applications and spatial data with enterprise systems to improve operational efficiency and data accessibility. Design, develop, and enhance ArcGIS Pro-based applications and custom extensions for editing linear and point features. Create custom tools, scripts, and workflows in ArcGIS Pro to improve GIS data editing and processing. Manage, process, and analyze spatial data from multiple sources. Maintain GIS dataset accuracy and integrity through data conversion, validation, quality assurance, and updates. Optimize spatial databases and file geodatabases for performance and usability. Develop integration solutions connecting GIS platforms with enterprise applications and third-party systems. Automate GIS workflows using Python, ArcPy, Arcade, ModelBuilder, and related tools. Collaborate with front-end developers and interface designers to integrate user-facing components with server-side logic. Work with stakeholders to gather requirements and translate business needs into effective technical solutions. Participate in code reviews to maintain code quality and identify opportunities for improvement. Troubleshoot and resolve complex application issues to maintain system stability and performance. Communicate project updates, technical challenges, and requirements to team members and stakeholders. Create and maintain technical documentation, including system designs, workflows, and user guides. Ensure applications comply with security standards, industry best practices, and established development guidelines. Prepare technical documentation and conduct knowledge-transfer sessions to support application adoption and maintenance. Evaluate emerging technologies and recommend improvements to application development processes and GIS solutions. Required Qualifications, Skills, and Experience Education and Overall Experience Bachelor's degree in Computer Science, Software Engineering, Information Systems, Geographic Information Systems (GIS), or a related field. Master's degree is preferred. Minimum of 8 years of professional experience in full-stack .NET development . Minimum of 4 years of experience in ArcGIS Pro and/or ArcMap-based GIS solution design and development . .NET Application Development Strong hands-on experience with: C# VB.NET ASP.NET .NET Core .NET 9.0 Entity Framework MVC Microsoft SQL Server Microsoft Azure Solid understanding of front-end technologies, including HTML, CSS, and JavaScript. Experience with front-end frameworks such as React or Angular. Experience developing and integrating RESTful APIs. Strong knowledge of software architecture principles, design patterns, and application development best practices. Experience developing scalable, secure, and maintainable enterprise applications. GIS and Esri Technologies Minimum of 4 years of experience designing and developing GIS solutions using ArcGIS Pro and/or ArcMap. Hands-on development experience with ArcGIS Maps SDK for .NET. Experience developing and extending ArcGIS Pro editing tools and custom GIS applications. Proficiency in Python, ArcPy, Arcade, and ModelBuilder for GIS automation and workflow development. Demonstrated experience with Esri products, including: ArcGIS Pro ArcGIS Enterprise ArcGIS Server ArcGIS Portal ArcGIS Desktop ArcGIS Online ArcMap Enterprise geodatabases and related data storage technologies Experience managing and editing spatial data, including linear and point features. Knowledge of GIS data management, spatial analysis, data conversion, and quality assurance. Experience integrating GIS applications with enterprise platforms and third-party systems. Knowledge of emerging GIS technologies and application development practices. Database and Cloud Technologies Strong experience with Microsoft SQL Server, including database design, query development, and performance optimization. Experience working with geospatial data in Microsoft SQL Server, Oracle Spatial, and PostgreSQL/PostGIS. Familiarity with relational databases and enterprise geospatial database management. Experience using Microsoft Azure services, including Azure App Service, Azure SQL Database, and Azure Functions. Understanding of cloud application development, deployment, and integration. DevOps and Development Tools Familiarity with DevOps practices and continuous integration/continuous delivery (CI/CD). Experience with version control using Git and GitHub. Familiarity with application lifecycle management tools, including Azure DevOps and related development tools. Understanding of software release management and deployment practices. Experience participating in code reviews and maintaining software quality standards. Professional Skills Excellent analytical, troubleshooting, and problem-solving skills. Strong written and verbal communication skills. Ability to work effectively with technical and non-technical stakeholders. Strong collaboration and teamwork skills. Ability to understand end-user requirements and recommend appropriate technical solutions. Ability to work independently with minimal supervision. Strong organizational and project management skills. Ability to manage multiple projects and priorities under tight deadlines. Commitment to maintaining application security, performance, reliability, and code quality. Preferred Qualifications Microsoft Azure certifications. Experience developing enterprise-scale GIS applications and integrations. Knowledge of emerging technologies and modern software development practices. Experience improving existing GIS workflows and application performance.

DS2 is seeking a Senior Software Engineer to design and build secure, mission-critical software supporting Army rapid capability programs. In this role, you will lead architecture and development of modern cloud-based services, modeling and simulation tools, and data-driven mission systems for U.S. defense customers. You will collaborate with engineers, analysts, and military stakeholders, drive technical decisions, and mentor teammates. This position offers a collaborative, defense-focused environment with complex challenges, modern tech stacks, and impactful work directly supporting U.S. military operations.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. You will help develop its Rust backend, creating financial technology where precision, quality and scalability matter, while working closely with engineers in Fort Lauderdale and Zurich. These 3 roles are among the first engineering roles at our new Fort Lauderdale development center, offering significant scope for ownership as the team grows. You will work directly with clients, see how your solutions are used and bring those insights back into the product. The role includes onboarding with the Zurich team, collaborative mornings and productive afternoons, with regular travel to Switzerland and occasional travel to client sites. Our stack Rust with Tokio and the AWS SDK for Rust. Serverless-first on AWS, using Lambda, DynamoDB, SQS and S3, with GitHub Actions for CI/CD. Clients integrate through our APIs and the Model Context Protocol (MCP). We do not run containers. Useful domain experience Depending on the role, relevant experience may include wealth and asset management, discretionary portfolio management, investment performance and attribution, portfolio valuation and rebalancing, benchmarks and fees, or US investment taxation, including tax lots, cost basis, holding periods, wash sales, corporate actions, withholding and tax reporting. What you'll do: Design, develop and test Rust backend services for complex financial products, with a focus on accuracy, scalability and reliability. Translate complex financial rules and mathematical concepts into precise, efficient and testable software, accounting for numerical precision and edge cases. Build scalable solutions using historized, non-relational data models and asynchronous, event-driven architectures. Contribute to technical specifications, design discussions and code reviews, using AI coding agents while maintaining rigorous review standards and accountability. Own features through the development lifecycle, from implementation and automated testing to deployment and monitoring, working alongside Platform and SRE engineers. Work directly with clients and domain specialists to analyse product questions, solve problems and bring insights back into product development. Qualifications Strong programming foundations in a statically typed language such as Rust, C++, Java, Scala, Kotlin, C#, Go or TypeScript. Master's degree or PhD in computer science, mathematics, physics or a related quantitative field. Strong modelling skills, including experience or understanding of historized data, effective dating, immutability and audit trails. Strong analytical ability and intellectual curiosity, with the ability to quickly learn new technologies and complex financial domains. Clear and confident communication skills, with the ability to explain technical concepts effectively to both technical and business audiences. Ability to work independently within a distributed team and travel to Switzerland and client sites when required. It would be a real bonus if you have: Production Rust experience, or experience with another systems/strongly typed language such as C++, Haskell, OCaml or Scala. Experience in wealth or asset management technology, including investment performance, portfolio construction/rebalancing, or tax, accounting and other rule-heavy financial software. Experience with AWS serverless and event-driven architecture, particularly Lambda, DynamoDB, SQS, S3 and API Gateway, or related distributed-systems technologies. Experience with AI-assisted engineering, client-facing product development, research or open-source software. Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

Job Description We're passionate about designing and delivering top-notch digital experiences for our clients - and their customers - and helping them create efficiencies using data and technology. But what's most important about us is that we have a diverse team of experts all dedicated to getting clients from goals to outcomes - and that's where you come in. This is a on-site position. Will need to work 5 days a week in offices located in Pittsburgh, PA. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) 5+ years of professional experience as a Full Stack .NET Developer Previous experience working in the banking, fintech, or financial services industry is required Strong proficiency in C#, .NET / .NET Core, and ASP.NET MVC/Web API Experience with front-end frameworks such as Angular, React, or Blazor Solid experience with SQL Server and database design Familiarity with RESTful API development and integration Understanding of secure coding practices and data protection in financial applications Experience with version control systems ( Git ) Preferred Qualifications: Experience with cloud platforms ( Azure preferred, AWS acceptable) Knowledge of banking regulations and compliance standards ( PCI-DSS, SOX, AML/KYC, GDPR ) Familiarity with microservices architecture and containerization (Docker, Kubernetes) Experience with CI/CD pipelines (Azure DevOps, Jenkins, GitLab) Understanding of core banking systems, payment processing, or digital banking platforms Experience working in Agile/Scrum environments Relevant certifications (Microsoft Certified: Azure Developer, etc.) Key Responsibilities: Design, develop, test, and deploy full stack applications using .NET / .NET Core, C#, and ASP.NET Build responsive, user-friendly front-end interfaces using modern frameworks ( Angular, React, or Blazor ) Develop and maintain RESTful APIs and microservices for banking and financial applications Design and optimize relational databases ( SQL Server ), writing efficient queries, stored procedures, and functions Collaborate with product owners, business analysts, and stakeholders to translate banking requirements into technical solutions Ensure applications meet security, compliance, and regulatory standards (e.g., PCI-DSS, SOX, GDPR, AML/KYC) Participate in code reviews, unit testing, and continuous integration/continuous deployment (CI/CD) processes Troubleshoot, debug, and optimize application performance in production environments Integrate with third-party banking systems, payment gateways, and core banking platforms Document technical designs, workflows, and processes More about G2O: We're different than other companies at G2O. We blend the research and design, technology, and data expertise to deliver the solutions our clients crave - and we do all of this as one in-house team, from vision to execution. We're also the largest company of our kind based in Ohio to do this - and have been evolving how we do it for 40 years. Individually, we bring a wealth of experience from diverse backgrounds - personally and in business. We're a diverse and passionate team of leaders and experts in technology, data analytics, design, content, and more. But we think we're best when we put our minds together. Each person brings something distinct to our team - some unique flavor to their background or their experience. That makes for stronger collaboration - and elevates the outcomes for our clients. Are you ready to collaborate to greatness with us? Learn more at