Job Description ABOUT US Shipwell is revolutionizing the logistics industry, redefining how the supply chain operates after centuries of convention. By uniting thousands of shippers and carriers on a cutting-edge technology platform, we are the leading software solution in logistics. With a bold startup energy and recent $35M Series B funding, Shipwell offers an exceptional opportunity to shape the future of a company destined for the Fortune 500. Supported by top-tier Silicon Valley and Austin investors, we are dedicated to driving innovation and growth in the supply chain sector. STAFF SOFTWARE ENGINEER The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior technical leader who does their best work hands-on: someone who takes on the hardest problems, writes code that sets the standard for others, and helps whole teams get better. Shipwell is an AI-forward engineering organization. We expect our Staff Engineers to be experienced with AI-driven development and to lead in it, using agents to multiply what they and their teams can deliver. As a Staff Engineer, you'll own complex, high-impact parts of our logistics platform from design through production. You'll work closely with engineering, product, and architecture to turn technical strategy into working software, and you'll mentor engineers along the way. WHAT YOU WILL DO WHEN YOU GET HERE • Own the design, build, and ongoing health of critical systems and services on the Shipwell platform. • Write high-quality, well-tested, production code, and spend most of your time building. • Use AI agents and multi-agent workflows day to day to speed up code generation, code review, and QA testing, while keeping quality high. • Build and share custom agents, establishing / reviewing projects AI Harness, and workflows that boost your own productivity and your team's. • Help set how Shipwell engineers use AI, including best practices, guardrails, and ways to measure its impact on speed and quality. • Break large, unclear problems into clear technical plans that teams can deliver step by step. • Lead technical efforts that span several teams, keeping work aligned and unblocking delivery. Acting as gate keeper and reviewer for project code patterns to support squad decisions and tuning, or critical shared entities • Work with architecture and product leadership to turn platform strategy into practical designs. • Raise the bar for code quality, testing, observability, and operations through code reviews and by example. • Find and fix performance bottlenecks, reliability risks, and tech debt before they become problems. • Mentor senior and mid-level engineers, including coaching them on working well with AI tools. • Take part in incident response and root-cause analysis, and drive lasting fixes. WHAT YOU NEED TO HAVE • BS/MS/Ph.D. in Computer Science or a related field, or equivalent practical experience. • 8+ years of professional software development, including 2+ years at a senior or staff level leading technical projects. • A track record of designing, building, and running distributed systems at scale in production. • Deep expertise in at least one modern language (e.g., Python / Django). • Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB), including data modeling and query tuning. • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure), containers, and CI/CD pipelines. • Experience with API design, event-driven architectures, and integrating with third-party systems. • Familiarity with agile development and DevOps practices, including owning what you ship in production with proven experience with GH actions or similar, for CI. • Excellent communication skills, with the ability to explain technical tradeoffs to engineers and non-technical partners. AI-Driven Development • Proven, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, OpenAI Astra, or similar) to write production code. • Experience running multi-agent workflows, or "swarms," where several agents work in parallel on code generation, code review, and QA testing. • A track record of building your own agents, custom tools, or automated workflows to improve your productivity, such as review bots, test generators, or task runners. • Working knowledge of prompt and context engineering, tool/function calling, and protocols such as MCP (Model Context Protocol). • Sound judgment about where AI fits: you know when to trust agent output, how to check it, and how to keep AI-generated code secure, correct, and maintainable. • Portfolio or examples preferred: be ready to show agents, workflows, or projects you've built and how they changed the way you work. Nice to Have • Experience in logistics, supply chain, or transportation technology. • Background with EDI, carrier integrations, or high-volume transactional systems. WHY SHIPWELL? • Corporate headquarters in sunny Austin, TX. • An exciting growth opportunity at one of Austin's fastest-growing companies. • Comprehensive healthcare and dental insurance. • Engaging team-building events and fun office competitions. • Partial cell phone reimbursement. • An elite technology package, including a new MacBook Pro. • Competitive salary and career advancement opportunities. • A collaborative work environment where every voice is heard and valued. We are Shipwell, and we're not just about logistics. We're about innovation, transformation, and creating something extraordinary together. Shipwell is an equal opportunity employer, committed to fostering a diverse and inclusive workplace.
11/14/2026
Full time
Job Description ABOUT US Shipwell is revolutionizing the logistics industry, redefining how the supply chain operates after centuries of convention. By uniting thousands of shippers and carriers on a cutting-edge technology platform, we are the leading software solution in logistics. With a bold startup energy and recent $35M Series B funding, Shipwell offers an exceptional opportunity to shape the future of a company destined for the Fortune 500. Supported by top-tier Silicon Valley and Austin investors, we are dedicated to driving innovation and growth in the supply chain sector. STAFF SOFTWARE ENGINEER The Staff Software Engineer role is a rare chance to shape the core systems of a high-growth startup that's breaking barriers in its third record-setting year. We're looking for a senior technical leader who does their best work hands-on: someone who takes on the hardest problems, writes code that sets the standard for others, and helps whole teams get better. Shipwell is an AI-forward engineering organization. We expect our Staff Engineers to be experienced with AI-driven development and to lead in it, using agents to multiply what they and their teams can deliver. As a Staff Engineer, you'll own complex, high-impact parts of our logistics platform from design through production. You'll work closely with engineering, product, and architecture to turn technical strategy into working software, and you'll mentor engineers along the way. WHAT YOU WILL DO WHEN YOU GET HERE • Own the design, build, and ongoing health of critical systems and services on the Shipwell platform. • Write high-quality, well-tested, production code, and spend most of your time building. • Use AI agents and multi-agent workflows day to day to speed up code generation, code review, and QA testing, while keeping quality high. • Build and share custom agents, establishing / reviewing projects AI Harness, and workflows that boost your own productivity and your team's. • Help set how Shipwell engineers use AI, including best practices, guardrails, and ways to measure its impact on speed and quality. • Break large, unclear problems into clear technical plans that teams can deliver step by step. • Lead technical efforts that span several teams, keeping work aligned and unblocking delivery. Acting as gate keeper and reviewer for project code patterns to support squad decisions and tuning, or critical shared entities • Work with architecture and product leadership to turn platform strategy into practical designs. • Raise the bar for code quality, testing, observability, and operations through code reviews and by example. • Find and fix performance bottlenecks, reliability risks, and tech debt before they become problems. • Mentor senior and mid-level engineers, including coaching them on working well with AI tools. • Take part in incident response and root-cause analysis, and drive lasting fixes. WHAT YOU NEED TO HAVE • BS/MS/Ph.D. in Computer Science or a related field, or equivalent practical experience. • 8+ years of professional software development, including 2+ years at a senior or staff level leading technical projects. • A track record of designing, building, and running distributed systems at scale in production. • Deep expertise in at least one modern language (e.g., Python / Django). • Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB), including data modeling and query tuning. • Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure), containers, and CI/CD pipelines. • Experience with API design, event-driven architectures, and integrating with third-party systems. • Familiarity with agile development and DevOps practices, including owning what you ship in production with proven experience with GH actions or similar, for CI. • Excellent communication skills, with the ability to explain technical tradeoffs to engineers and non-technical partners. AI-Driven Development • Proven, hands-on experience using AI coding agents (e.g., Claude Code, Cursor, OpenAI Astra, or similar) to write production code. • Experience running multi-agent workflows, or "swarms," where several agents work in parallel on code generation, code review, and QA testing. • A track record of building your own agents, custom tools, or automated workflows to improve your productivity, such as review bots, test generators, or task runners. • Working knowledge of prompt and context engineering, tool/function calling, and protocols such as MCP (Model Context Protocol). • Sound judgment about where AI fits: you know when to trust agent output, how to check it, and how to keep AI-generated code secure, correct, and maintainable. • Portfolio or examples preferred: be ready to show agents, workflows, or projects you've built and how they changed the way you work. Nice to Have • Experience in logistics, supply chain, or transportation technology. • Background with EDI, carrier integrations, or high-volume transactional systems. WHY SHIPWELL? • Corporate headquarters in sunny Austin, TX. • An exciting growth opportunity at one of Austin's fastest-growing companies. • Comprehensive healthcare and dental insurance. • Engaging team-building events and fun office competitions. • Partial cell phone reimbursement. • An elite technology package, including a new MacBook Pro. • Competitive salary and career advancement opportunities. • A collaborative work environment where every voice is heard and valued. We are Shipwell, and we're not just about logistics. We're about innovation, transformation, and creating something extraordinary together. Shipwell is an equal opportunity employer, committed to fostering a diverse and inclusive workplace.
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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.
11/13/2026
Full time
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 Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
11/12/2026
Full time
Job Description Job Description SQA (Software Quality Assurance) Lead QUALITY ENGINEERING FULL-TIME ON-SITE - SANTA CLARA, CA We are looking for a hands-on SQA (Software Quality Assurance) Lead to anchor quality across the SiFly Aviation software stack and grow quality engineering into a first-class discipline as we scale toward production flight. This is a senior, deeply technical role: you will set the testing strategy, build the automation and end-to-end suites that gate our releases, and mentor a small, growing QA team spanning Turkey and Santa Clara - while staying close enough to the code and the aircraft to write and debug tests yourself. About SiFly Aviation At SiFly, we're building a new category of aircraft: vertical-takeoff, long-endurance drones that deliver helicopter-level performance at drone economics. After thousands of flight tests and years of engineering, our NDAA-compliant platform flies more than 2 hours in hover or 3 hours in forward flight on a single charge - matching the capability of traditional helicopters at a fraction of their cost and operational burden. We merge aerial robotics, perception, and onboard intelligence to cut complexity and minimize human intervention, and our unique approach to communications and networking unlocks remote operations from day one. It's an ambitious mission, and we're a small team that moves fast. The Role You will own how SiFly Aviation decides a build is ready to fly. Today one QA engineer covers end-to-end system testing; you will take that foundation and turn it into a coherent quality practice - a shared definition of "release-ready," automated regression that runs on every change, and a simulation-and-bench workflow that lets any engineer trust a green result. You will do this primarily as a builder: designing and writing tests, standing up the infrastructure that runs them, and triaging the failures - while setting the standards and mentoring the engineers who join you. The team is intentionally split by strength: one engineer focused on QA test-automation development and another on manual, end-to-end test execution, across Turkey and Santa Clara. You will shape how those roles work together, review their test plans, and grow the group into an organization that scales with the product. What You'll Do Own the QA strategy end-to-end. Define what "release-ready" means for the Q12, set pass/fail criteria and release gates, and make quality a measurable, non-negotiable part of the development and release workflow rather than a step at the end. Build the automated regression suites. Design and write automated tests covering flight software, autonomy features, MAVLink interfaces, camera and video pipelines (H.264/HEVC, WHIP/WHEP), the detect-and-avoid stack, telemetry, and operator workflows - and keep them fast and trustworthy enough to run on every change. Make simulation and bench testing first-class. Own the SITL/HITL test workflow and keep it faithful to real aircraft behavior; build scenario-based tests for takeoff and landing, mission execution, failsafes, detect-and-avoid, GPS degradation, sensor noise, comms delays, and the long tail of edge cases. Stand up the test infrastructure. Wire QA into CI so tests trigger automatically, run nightly and batch validation jobs, and deploy simulator and test instances locally and on remote servers so any engineer can run a meaningful test without booking aircraft time. Validate the full connected system. Test multi-link connectivity and failover (5G, Wi-Fi 6, Wi-Fi HaLow), OTA update and rollback via Mender, cloud/backend integration over MQTT and REST, and the Pilot, Crew, HQ, and Mobile apps against the embedded platform. Close the loop between real flights and the lab. Capture and organize logs, MAVLink and telemetry, video, and perception outputs; reproduce bugs seen in real flights as automated regression tests; and quantify where simulation diverges from reality in dynamics, sensors, timing, and control response. Make results legible. Build dashboards, log summaries, failure artifacts, and reports so a release lead can trust a green build - and so failures route quickly to the right owner. Lead and grow the team. Mentor the automation- and manual-focused QA engineers across Turkey and Santa Clara, review their test plans, set standards and coding practices for the group, and help hire as the QA organization expands. Partner across engineering. Work closely with flight software, embedded platform, autonomy, perception, and applications teams so QA is part of everyday development, not a downstream gate. Required Experience Minimum 5+ years of professional experience in software quality assurance, test engineering, or a closely related field. A bachelor's degree or higher in a related program - Electrical Engineering, Computer Engineering, Computer Science, or similar. Senior QA / test engineering experience, with a track record of building automated test systems, CI pipelines, or QA infrastructure for complex software - and setting the practices around them. Strong Python for test automation, log analysis, orchestration, and tooling. Comfortable owning quality across a distributed system: debugging across processes, containers, networks, and hardware/software boundaries on Linux. Hands-on experience with MAVLink, ROS, or comparable autopilot/robotics stacks - or the ability to demonstrate you can get there quickly. Direct experience with SITL, HITL, hardware-in-the-loop, or hardware/software integration testing of robotic or embedded systems. Experience mentoring engineers, reviewing test plans, or otherwise leading quality work - formally or informally - for a team. Working knowledge of aircraft, robotics, or embedded behavior - sensors, control loops, coordinate frames, and timing/synchronization - enough to know when a test result is suspicious. Comfortable deploying and operating test services on remote machines and servers. Advanced English language skills and strong written and verbal communication - able to coordinate clearly across a distributed team in Turkey and Santa Clara. Nice to Have Isaac Sim, Gazebo, AirSim, or game-engine-based simulators. Camera simulation, RTSP/GStreamer or WebRTC video testing. Docker and cloud-based CI/CD. OTA testing (Mender) and Yocto/embedded Linux. XRCE-DDS or DDS-based robotics middleware. Prior sim-to-real correlation work. QA dashboards, log viewers, or failure-triage tooling. Familiarity with UAV regulatory context (Remote ID, ADS-B). Experience standing up or leading a QA function from an early stage. A valid SHGM (Turkish DGCA) remote-pilot licence for the Q12's İHA weight class - İHA1 (4-25 kg) or İHA2 (25-150 kg) depending on take-off weight - ideally with beyond-visual-line-of-sight (BVLOS) operational authorization. What Success Looks Like SiFly has a real QA organization with clear ownership - and a shared, trusted definition of what "ready to fly" means. Simulation and end-to-end tests gate every release, not just nightly, and any engineer can spin up a representative test locally or remotely in minutes. Field bugs land in the regression suite within days, not quarters, and stay fixed. Detect-and-avoid scenarios, camera and video workflows, connectivity failover, OTA updates, and operator actions are exercised safely and repeatably before any real flight. Flight logs, telemetry, video, and simulation outputs are stored, searchable, and replayable from one place. The QA engineers you lead are growing, unblocked, and trusted by the rest of engineering - and the team treats quality as something they rely on, not a demo. Compensation & Logistics Gross salary range: $160K-$180K. Salaries are paid in USD. Job type: Remote contract-based employment. Location: On-site position in Santa Clara, CA - working closely with our Europe team.
Job Description Job Description For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title: Senior Technical Product Owner Location: Cincinnati, oOH (Downtown) Years of Experience: 6-10+ TOP SKILLS: Must Have 6+ years in product ownership or product management, including 3+ years in a senior or lead role. Agile or SAFe Strong Product Owner Nice To Have Lean Six Sigma certification (Green Belt, Black Belt) What You'll Do Job Profile Summary: The Senior Product Owner (Technical) will collaborate with other Product Owners, Technology, Lines of Business, Risk, Finance, reg reporting and other key partners to define and drive requirements to support downstream reporting teams. This role requires expertise in banking, specifically in Wealth & Trust space. The Senior Product Owner will drive deliverables of a squad of engineers using modern tech stack including Snowflake and DBT. Technical knowledge is a plus. General Function: Responsible for defining, prioritizing, and managing the development of snowflake Data products that meets the needs of stakeholders. Will support the implementation of product roadmap deliverables, capabilities, and adoption, leading a robust prioritization process to maximize value, risk mitigation, and business benefits. Advocates for SAFe methodologies and ensures team backlog alignment with customer and stakeholder needs. Essential Duties & Responsibilities: Motivate teams to deliver on strategy and roadmap for continuous product improvement. Partner with business functions, IT, Risk, Finance, Operations, and other key partners to define and execute product strategies. Collaborate with cross-functional teams for agreement and guidance, including Lines of Business, Operations, Legal, Compliance, Information Security, Fraud, Architecture, and related functions. Provide transparency and ongoing communications with stakeholders. Make decisions to drive key outcomes in support of regulatory and compliance needs, new revenue growth, process optimization, and analytics. Be involved with all phases of development (analysis, design, coding, testing, deployment) Solve problems and make decisions with subject matter experts to drive the greatest outcome for the product and the Bank. Engage with research teams for customer usability testing and concept validation. Partner with third parties to cultivate relationships, understand product releases, remediate defects/outages, and ensure seamless experiences. Maintain and provide product information for training and documentation. Monitor industry trends and participate in industry forums and conferences. Support a SAFe mindset across product teams, maintaining a healthy product backlog and participating in team ceremonies. • Evangelizes and communicates product capabilities and roadmap to internal groups as well as externally to clients. Minimum Knowledge, Skills, & Abilities Required: Bachelor's degree in a related field or equivalent education and work experience. 4+ years of related experience. Lean Six Sigma certification (Green Belt, Black Belt) desired. Product management background preferred; ability to interact and influence within the organization. Experience and understanding of non-relational & relational databases, Snowflake and DBT Ability to consult and articulate key messages to all levels within the organization. Basic business acumen and understanding of business processes related to products and customers. Experience working in Agile or SAFe development a plus. Ability to promote a work environment that fosters creative thinking and innovation. Collaborative with strong intellectual curiosity and creative problem-solving. Good analytical skills with ability to present well-thought-out, simple solutions. Self-motivated and able to work independently and with different teams in a fast-paced environment. What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Competitive base salary Medical, dental, and vision insurance coverage Optional life and disability insurance provided 401(k) with a company match and optional profit sharing Paid vacation time Paid Bench time Training allowance offering You'll be eligible to earn referral bonuses!
11/11/2026
Full time
Job Description Job Description For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community. Job Title: Senior Technical Product Owner Location: Cincinnati, oOH (Downtown) Years of Experience: 6-10+ TOP SKILLS: Must Have 6+ years in product ownership or product management, including 3+ years in a senior or lead role. Agile or SAFe Strong Product Owner Nice To Have Lean Six Sigma certification (Green Belt, Black Belt) What You'll Do Job Profile Summary: The Senior Product Owner (Technical) will collaborate with other Product Owners, Technology, Lines of Business, Risk, Finance, reg reporting and other key partners to define and drive requirements to support downstream reporting teams. This role requires expertise in banking, specifically in Wealth & Trust space. The Senior Product Owner will drive deliverables of a squad of engineers using modern tech stack including Snowflake and DBT. Technical knowledge is a plus. General Function: Responsible for defining, prioritizing, and managing the development of snowflake Data products that meets the needs of stakeholders. Will support the implementation of product roadmap deliverables, capabilities, and adoption, leading a robust prioritization process to maximize value, risk mitigation, and business benefits. Advocates for SAFe methodologies and ensures team backlog alignment with customer and stakeholder needs. Essential Duties & Responsibilities: Motivate teams to deliver on strategy and roadmap for continuous product improvement. Partner with business functions, IT, Risk, Finance, Operations, and other key partners to define and execute product strategies. Collaborate with cross-functional teams for agreement and guidance, including Lines of Business, Operations, Legal, Compliance, Information Security, Fraud, Architecture, and related functions. Provide transparency and ongoing communications with stakeholders. Make decisions to drive key outcomes in support of regulatory and compliance needs, new revenue growth, process optimization, and analytics. Be involved with all phases of development (analysis, design, coding, testing, deployment) Solve problems and make decisions with subject matter experts to drive the greatest outcome for the product and the Bank. Engage with research teams for customer usability testing and concept validation. Partner with third parties to cultivate relationships, understand product releases, remediate defects/outages, and ensure seamless experiences. Maintain and provide product information for training and documentation. Monitor industry trends and participate in industry forums and conferences. Support a SAFe mindset across product teams, maintaining a healthy product backlog and participating in team ceremonies. • Evangelizes and communicates product capabilities and roadmap to internal groups as well as externally to clients. Minimum Knowledge, Skills, & Abilities Required: Bachelor's degree in a related field or equivalent education and work experience. 4+ years of related experience. Lean Six Sigma certification (Green Belt, Black Belt) desired. Product management background preferred; ability to interact and influence within the organization. Experience and understanding of non-relational & relational databases, Snowflake and DBT Ability to consult and articulate key messages to all levels within the organization. Basic business acumen and understanding of business processes related to products and customers. Experience working in Agile or SAFe development a plus. Ability to promote a work environment that fosters creative thinking and innovation. Collaborative with strong intellectual curiosity and creative problem-solving. Good analytical skills with ability to present well-thought-out, simple solutions. Self-motivated and able to work independently and with different teams in a fast-paced environment. What You'll Get SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Competitive base salary Medical, dental, and vision insurance coverage Optional life and disability insurance provided 401(k) with a company match and optional profit sharing Paid vacation time Paid Bench time Training allowance offering You'll be eligible to earn referral bonuses!
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Head of Product Design will define and lead the user experience vision for Hivemind, Shield AI's autonomy development platform. This role is responsible for transforming complex autonomy, robotics, AI, and developer workflows into intuitive experiences that enable engineers, operators, and organizations to develop and deploy resilient autonomy at scale. A major focus of this role will be shaping the next generation of AI-native and agent-driven workflows across the autonomy lifecycle. As Hivemind evolves from traditional software tooling toward AI-assisted autonomy development, simulation, evaluation, deployment, and operations, this leader will help invent entirely new ways for users to collaborate with AI systems, agents, and foundation-model-powered tools. The ideal candidate has deep experience designing AI products, developer platforms, or complex technical systems and can translate emerging AI capabilities into workflows that dramatically improve user productivity and outcomes. This is a highly hands-on role as this leader will manage a team of elite designers. During the first 6-12 months, most of the time will be spent conducting user research, designing experiences, prototyping concepts, facilitating product discovery, and partnering directly with Product and Engineering teams to define the future of autonomy development. What you'll do:User Research & Product Discovery Lead customer research efforts across product development, customer engagement, and solutions teams to identify pain points, workflows, unmet needs, and product opportunities. Establish scalable mechanisms for gathering, synthesizing, and communicating user insights throughout the product development lifecycle. Translate customer and operational feedback into actionable product recommendations, requirements, and design initiatives. Product Design & User Experience Design end-to-end workflows across autonomy development, simulation, testing, analysis, deployment, and operations. Create intuitive experiences for highly technical users including autonomy engineers, software developers, operators, and mission planners. Simplify complex system architectures, data flows, infrastructure tooling, and AI workflows into understandable user experiences. Own the end-to-end experience of the product including training, documentation, tutorials, and overall workflows - help our users get the most of the product. Strategic Product Leadership Partner closely with Product Managers to shape product vision, roadmap priorities, and go-to-market strategies. Drive alignment across Product, Engineering, Design, and Executive Leadership through compelling narratives, prototypes, and visual storytelling. Advocate for user-centered decision making in a highly technical and engineering-driven environment. Design Practice, Systems & Organizational Scale Establish and evolve design standards, design systems, UX principles, and product design best practices across Shield AI. Raise the quality bar for product design, usability, consistency, and customer experience. Grow the product design function by mentoring a small team of designers, shaping design culture, and staying actively involved in critical design work. Champion design wins and impact across the organization, highlighting the important role design plays in delivering successful products. AI-Native Product Design & Agentic Workflows Define the future user experience for AI-assisted autonomy development, simulation, testing, deployment, and operational workflows. Design human-AI collaboration models that enable users to effectively leverage AI agents, copilots, and foundation-model-powered systems. Partner with Product, AI Research, and Engineering teams to create new interaction patterns for agent orchestration, autonomy generation, scenario creation, test generation, and mission planning. Develop frameworks for trust, transparency, explainability, and human oversight within AI-assisted workflows. Help establish industry-leading design patterns for Physical AI development platforms and agent-driven software systems. Required qualifications: 10+ years of experience in Product Design, UX Design, Human Factors, or related fields. Proven track record designing and shipping complex technical products, developer tools, platforms, infrastructure software, data-dense applications, or enterprise systems. Deep technical fluency and ability to effectively collaborate with senior engineering leaders on architecture, technical constraints, and software development workflows. Strong experience conducting user research and translating insights into product strategy and design solutions. Proven ability to influence product direction and organizational decisions without direct authority. Strong understanding of AI-powered product experiences, including conversational interfaces, human-in-the-loop workflows, AI-assisted decision making, and agent-based systems. Experience defining new user experiences in ambiguous technology spaces where industry standards and workflows are still emerging. Experience building and retaining high-performing design teams. Strong portfolio showcasing both strategic thinking and hands-on design execution. Preferred qualifications: Background designing developer platforms, SDKs, cloud infrastructure products, DevOps tooling, or engineering productivity tools. Direct work on AI/ML platforms, MLOps workflows, foundation-model-enabled products, copilots, or agentic systems. Familiarity with autonomy, robotics, simulation, digital twins, mission systems, physical AI, or related development workflows including testing, evaluation, deployment, and operations. Portfolio examples involving command-and-control systems, mission-planning interfaces, operational dashboards, or real-time decision-support tools. Ability to design across integrated hardware/software systems. Domain exposure to defense technology, aerospace, robotics, or other regulated, mission-critical, or high-consequence operational environments. San Diego, CA and Washington, D.C. pay range: $230,000 - $350,000 San Mateo, CA pay range: $280,000 - $420,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 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.
Job Description Job Description Information Security Specialist Officer, Technical Lead, AWS Security • RMF & ATO • NIST 800-53 • Cloud Application Security Clearance: Active CBP, DHS, or Top Secret Clearance required Work Arrangement: Hybrid - onsite 3 days/week during standard business hours in Ashburn, VA About the Role Dev Technology Group is seeking a Senior Information Security Specialist to lead and develop a mid-sized team of ISSOs supporting the security, compliance, and authorization of mission-critical federal applications and information systems hosted in AWS. This is a hands-on technical leadership role combining people leadership, federal cybersecurity expertise, and direct collaboration with government and technical stakeholders. You will mentor junior and mid-level ISSOs while partnering with system owners, developers, architects, cloud/infrastructure engineers, security professionals, and government stakeholders throughout the system development lifecycle. You will provide practical security guidance for AWS-hosted applications, lead Risk Management Framework (RMF) and Authority to Operate (ATO) activities, oversee vulnerability management and continuous monitoring, and translate federal cybersecurity requirements into actionable guidance for technical teams. What You'll Do Lead, mentor, and develop a team of ISSOs by establishing priorities, providing technical direction and coaching, and promoting accountability and consistent security practices. Lead and oversee RMF, ATO, security authorization, compliance, vulnerability management, and continuous monitoring activities across a portfolio of federal systems and applications. Partner with ISSMs, system owners, assessors, developers, architects, engineers, and government stakeholders to maintain authorizations, identify risks, and address security requirements. Lead vulnerability management efforts, prioritizing remediation, developing mitigation strategies, and tracking corrective actions through resolution. Develop, assess, document, and support implementation of security controls aligned with FISMA, NIST 800-53, DHS, and client requirements . Prepare and maintain security and authorization documentation, including SSPs, ISAs, audit artifacts, and RMF documentation . Provide cybersecurity guidance for applications and systems deployed in AWS and integrate security throughout the software development lifecycle. Validate security implementation through technical reviews, discussions, interviews, assessments, and tabletop exercises. Support security audits, assessments, compliance reviews, and reviews of information systems and network connections. Interpret federal and client security policies and translate requirements into practical guidance for technical and development teams. Identify and escalate security risks, communicate priorities and remediation status, and provide clear visibility to Dev Technology leadership and government stakeholders. Develop and present security metrics, status reports, risk assessments, and executive briefings . Establish and improve security processes, procedures, templates, dashboards, and workflows to improve consistency, accountability, and efficiency across the ISSO team. Build trusted relationships with government clients through proactive communication, collaboration, and face-to-face engagement. Required Education, Experience & Skills Bachelor's degree and 7+ years of experience securing federal information systems. Demonstrated experience leading and mentoring information security professionals , including junior and mid-level ISSOs. Experience leading cybersecurity activities in a federal government client environment and working directly with government stakeholders.' Strong working knowledge of NIST Risk Management Framework (RMF) and experience supporting federal systems through security authorization and ATO activities . Experience developing, implementing, assessing, or documenting security controls aligned with FISMA and NIST 800-53 . Experience with vulnerability management, continuous monitoring, security assessments, audits, or compliance reviews for federal systems. Experience providing cybersecurity guidance for AWS-hosted applications and systems . Strong understanding of modern information systems and their technical security considerations. Ability to work effectively with developers, architects, engineers, government stakeholders, and technical and non-technical audiences. Strong written and verbal communication skills, including the ability to communicate security risks and technical findings and develop/present security documentation and executive briefings. Ability to establish priorities, manage competing demands, independently manage security activities, and escalate issues appropriately. Proactive, solutions-oriented approach to identifying risks and improving security practices. Current CBP, DHS, or Top Secret Clearance. Ability to work onsite 3 days per week in Ashburn, VA during standard business hours. Cybersecurity certification such as CISSP, CISM, GIAC, Security+, or another recognized cybersecurity certification. Preferred Education, Experience & Skills Experience developing or supporting RMF and authorization artifacts, including SSPs, ISAs, PTAs, ATTs, POA&Ms , and related documentation. Experience partnering with application development, cloud engineering, and DevSecOps teams to integrate security throughout the SDLC. Experience working in an Agile software development environment using Jira or similar platforms. Experience with GRC tools such as CSAM or similar platforms supporting authorization, compliance, vulnerability management, and security activities. Understanding of AI concepts and practical applications of AI for cybersecurity operations, risk analysis, compliance, or security program management. Our estimated salary range for this position is $88,000 - $ 150,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. Salary could fall outside of this range. Who We Are Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client's missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management. As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy: Generous and flexible time-off policy Flexible work schedules and telework options, including remote work availability for eligible projects Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more 401K matching with a 5% matching contribution Regular team and company social events including our annual party, happy hours, fitness challenges, and more A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts To learn more about working at Dev Technology, visit Working At Dev Technology Group Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
09/26/2026
Full time
Job Description Job Description Information Security Specialist Officer, Technical Lead, AWS Security • RMF & ATO • NIST 800-53 • Cloud Application Security Clearance: Active CBP, DHS, or Top Secret Clearance required Work Arrangement: Hybrid - onsite 3 days/week during standard business hours in Ashburn, VA About the Role Dev Technology Group is seeking a Senior Information Security Specialist to lead and develop a mid-sized team of ISSOs supporting the security, compliance, and authorization of mission-critical federal applications and information systems hosted in AWS. This is a hands-on technical leadership role combining people leadership, federal cybersecurity expertise, and direct collaboration with government and technical stakeholders. You will mentor junior and mid-level ISSOs while partnering with system owners, developers, architects, cloud/infrastructure engineers, security professionals, and government stakeholders throughout the system development lifecycle. You will provide practical security guidance for AWS-hosted applications, lead Risk Management Framework (RMF) and Authority to Operate (ATO) activities, oversee vulnerability management and continuous monitoring, and translate federal cybersecurity requirements into actionable guidance for technical teams. What You'll Do Lead, mentor, and develop a team of ISSOs by establishing priorities, providing technical direction and coaching, and promoting accountability and consistent security practices. Lead and oversee RMF, ATO, security authorization, compliance, vulnerability management, and continuous monitoring activities across a portfolio of federal systems and applications. Partner with ISSMs, system owners, assessors, developers, architects, engineers, and government stakeholders to maintain authorizations, identify risks, and address security requirements. Lead vulnerability management efforts, prioritizing remediation, developing mitigation strategies, and tracking corrective actions through resolution. Develop, assess, document, and support implementation of security controls aligned with FISMA, NIST 800-53, DHS, and client requirements . Prepare and maintain security and authorization documentation, including SSPs, ISAs, audit artifacts, and RMF documentation . Provide cybersecurity guidance for applications and systems deployed in AWS and integrate security throughout the software development lifecycle. Validate security implementation through technical reviews, discussions, interviews, assessments, and tabletop exercises. Support security audits, assessments, compliance reviews, and reviews of information systems and network connections. Interpret federal and client security policies and translate requirements into practical guidance for technical and development teams. Identify and escalate security risks, communicate priorities and remediation status, and provide clear visibility to Dev Technology leadership and government stakeholders. Develop and present security metrics, status reports, risk assessments, and executive briefings . Establish and improve security processes, procedures, templates, dashboards, and workflows to improve consistency, accountability, and efficiency across the ISSO team. Build trusted relationships with government clients through proactive communication, collaboration, and face-to-face engagement. Required Education, Experience & Skills Bachelor's degree and 7+ years of experience securing federal information systems. Demonstrated experience leading and mentoring information security professionals , including junior and mid-level ISSOs. Experience leading cybersecurity activities in a federal government client environment and working directly with government stakeholders.' Strong working knowledge of NIST Risk Management Framework (RMF) and experience supporting federal systems through security authorization and ATO activities . Experience developing, implementing, assessing, or documenting security controls aligned with FISMA and NIST 800-53 . Experience with vulnerability management, continuous monitoring, security assessments, audits, or compliance reviews for federal systems. Experience providing cybersecurity guidance for AWS-hosted applications and systems . Strong understanding of modern information systems and their technical security considerations. Ability to work effectively with developers, architects, engineers, government stakeholders, and technical and non-technical audiences. Strong written and verbal communication skills, including the ability to communicate security risks and technical findings and develop/present security documentation and executive briefings. Ability to establish priorities, manage competing demands, independently manage security activities, and escalate issues appropriately. Proactive, solutions-oriented approach to identifying risks and improving security practices. Current CBP, DHS, or Top Secret Clearance. Ability to work onsite 3 days per week in Ashburn, VA during standard business hours. Cybersecurity certification such as CISSP, CISM, GIAC, Security+, or another recognized cybersecurity certification. Preferred Education, Experience & Skills Experience developing or supporting RMF and authorization artifacts, including SSPs, ISAs, PTAs, ATTs, POA&Ms , and related documentation. Experience partnering with application development, cloud engineering, and DevSecOps teams to integrate security throughout the SDLC. Experience working in an Agile software development environment using Jira or similar platforms. Experience with GRC tools such as CSAM or similar platforms supporting authorization, compliance, vulnerability management, and security activities. Understanding of AI concepts and practical applications of AI for cybersecurity operations, risk analysis, compliance, or security program management. Our estimated salary range for this position is $88,000 - $ 150,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. Salary could fall outside of this range. Who We Are Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client's missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management. As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy: Generous and flexible time-off policy Flexible work schedules and telework options, including remote work availability for eligible projects Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more 401K matching with a 5% matching contribution Regular team and company social events including our annual party, happy hours, fitness challenges, and more A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts To learn more about working at Dev Technology, visit Working At Dev Technology Group Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
