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This job is with JLL, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. We are seeking an experienced Head of Identity, Access and Authentication, reporting to the SVP of Infrastructure and Operations. As a senior member of staff in Infrastructure and Operations within IT, this individual is responsible for standardizing and scaling the Identity Access Management, Authentication, Authorization, and Active Directory functions across JLL - building a future-fit application services organization that delivers resilient, secure, and adaptable identity and access capabilities across the enterprise. The scope of this role is expected to grow over time to encompass additional products and capabilities within the broader IAM, Authentication, and Authorization ecosystem as JLL's technology landscape evolves. The Head of Identity, Access and Authentication brings experience, knowledge, and future vision for transforming the identity and access management function, including the standardization of IAM platforms, authentication protocols, authorization frameworks, Active Directory governance, and adjacent identity and access technologies across JLL's global environment. The role encompasses tier 1, 2 and 3 support of tooling and tier 3 support for identity and access infrastructure. The role holder is a senior stakeholder in all relationships with externally sourced identity and access management capabilities. Owns the direct points of contact and continuous engagement and improvement with Applications Teams. As a key member of the senior I&O leadership team, this role contributes to the development and execution of the enterprise-wide Infrastructure and Application Services strategy and is responsible for ensuring I&O strategy is fully aligned, positioning I&O to deliver compelling value to the application teams as well as the JLL Business. This individual is expected to support the SVP of I&O, the Infrastructure Leadership peer group, the Chief Architect and VPs of Application Services under the CTO by implementing identity and access solutions that align to the enterprise architecture framework and roadmap. He or she will also serve on IT planning and policymaking committees and will drive the development and adoption of enterprise technology standards, governance processes and performance metrics. As AI agents and non-human identities become first-class actors in enterprise environments, this role will be responsible for evolving JLL's IAM strategy beyond traditional human-centric models. The ideal candidate will have experience designing dynamic, context-aware access controls - including purpose-based and just-in-time authorization - for agentic and automated workloads. This individual will establish governance frameworks that ensure trust delegation, auditability, and least-privilege principles are maintained across AI-driven systems, while partnering with security and engineering teams to build behavioral baselines and enforce policy at runtime. Key Responsibilities Evolve IAM for AI agents and non-human identities: Lead the evolution of JLL's IAM strategy to address the growing presence of AI agents, service accounts, and automated workloads as first-class actors in the enterprise. Design and implement dynamic, context-aware access controls - including purpose-based and just-in-time authorization - for agentic and automated systems. Establish governance frameworks that ensure trust delegation, auditability, and least-privilege principles are maintained across AI-driven environments, partnering with security and engineering teams to build behavioral baselines and enforce policy at runtime. Standardize and expand IAM, Authentication, Authorization, and Active Directory: Define and drive the enterprise-wide standardization of Identity Access Management, Authentication, Authorization, and Active Directory functions across JLL. Establish consistent platforms, policies, and operating models that reduce fragmentation and improve security posture globally. Position the function to absorb and govern additional IAM-adjacent products and capabilities as JLL's identity landscape grows and matures. Create and execute strategy: Create and communicate a pioneering vision for Application Services within the identity and access management domain, including the value proposition in digital transformation, optimization of cloud-based identity services, and adoption of innovative technologies such as generative AI and zero-trust frameworks. Optimize, redesign, and deliver engagement models for Application Services: Streamline engagement practices, enable a compelling digital employee experience, and improve the value the enterprise receives from IAM, authentication, authorization, and Active Directory platforms and services. Champion innovation: Take advantage of breakthrough technologies by embracing and driving automation, observability, and modern identity standards such as OAuth 2.0, SAML, OpenID Connect, and passwordless authentication. Manage and optimize cloud and hybrid identity environment: Create and execute strategies for cloud, hybrid, and on-premises identity infrastructure, and maximize the value the enterprise receives from investments in identity and access platforms and services. Develop and engage talent: Create future-proofing talent strategies to develop, upskill, and retain an adaptive workforce amid the impact of generative AI and automation. Adopt leadership principles that engage teams and executives to change culture, build soft skills, and improve the employee experience. Achieve operational excellence: Modernize to a cost-optimized, on-time, and stable identity and access management environment that addresses technical debt and minimizes risks of new initiatives. Build resilient platforms to power business growth. Drive and communicate outcomes: Build relationships and collaborate effectively across various levels of the organization. Able to convey complex technical concepts and strategies that resonate with technical and non-technical stakeholders. Define, Measure and Drive Success: Define the value of Application Services within the IAM domain, including objectives, metrics and KPIs, and track outcomes against goals, such as reducing identity-related risk and optimizing cost. Drives the adoption of (and commitment towards) service improvements through a programmatic approach to continuous improvement which also measures impact and shares results. Continuously evaluates the business value of Application Services including the use of metrics such as Key Performance Indicators, Outcome Driven Metrics and Objectives and Key Results. Leadership Requirements Strategic Vision: Has a clear strategic vision, with the ability to develop and communicate an Application Services vision for identity and access that inspires and motivates staff and aligns with the IT and business strategy. Outstanding Communication: Exceptional communication skills and ability to effectively communicate complex concepts to various audiences, including board members, executives, technical teams, and non-technical staff; aptitude to facilitate collaboration and build relationships across business lines is critical. Able to articulate IAM and identity strategy approach to risk taking to nontechnical audiences in a way that increases sponsorship and support for ongoing endeavors. Business Acumen and Subject Matter Expertise: Strong business acumen, including industry, domain-specific knowledge of the enterprise and its business units. Deep understanding of current and emerging IAM, authentication, authorization, and Active Directory technologies and practices, and how other enterprises are employing them. Change Management: Skilled at driving cultural change; evangelizing and implementing transformational initiatives where the target state included zero-trust, cloud identity adoption at scale, and IAM standardization. Able to consolidate identity and access capabilities in large, complex enterprise organizations to deliver improved efficiency, while balancing customer preferences for agility. Team Leadership: Successful history of building and leading diverse teams; including fostering a collaborative, inclusive, and innovative work environment, as well as providing mentorship and professional development opportunities. Risk Management: Possess a deep understanding of risk management principles and methodologies; ability to assess and prioritize risks effectively, develop risk mitigation strategies, and ensure that in-place controls are aligned with governance and policy requirements, particularly in the context of identity and access security. . click apply for full job details

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

AWS runs one of the largest networks in the world, and MONA (Management, Out-of-Band Networks, and Automation) alone owns the full lifecycle of over one million physical devices. We are in the critical path for every new data center powering the AI revolution. Everything we run, we build in-house: controllers, software-defined networking (SDN), and planning software. For example, we own a controller for agentic network auto-remediation, and the planning software that plans every new data center down to capacity and ports. We are looking for a Software Development Engineer II to own the design and delivery of core components of these systems end-to-end - from design through production - and to keep growing your technical scope. You do not need a networking background up front; strong engineers learn our domain here, on a team that invests in your growth and gives you real ownership at a scale almost nowhere else can offer. Key job responsibilities - Own the design, implementation, and operation of well-scoped components and features of our in-house network software - controllers, SDN, planning software, and out-of-band systems - end-to-end. - Turn ambiguous requirements into high-quality, well-tested, scalable code; contribute to design docs and design reviews. - Operate your services in production and uphold high operational standards, improving monitoring and alarming as you go. - Drive correctness and safety for automation that acts on production networks: idempotency, guardrails, and observability that proves work actually happened. - Collaborate with your team and partner teams to evolve the product and continuously improve code, processes, and quality. - Mentor junior engineers and contribute to the team through thoughtful code reviews. - Participate in the on-call rotation for the services you own. A day in the life You own a component end-to-end: you write the design, build it, ship it, and operate it. One morning you are extending our controller for agentic network auto-remediation; the next you are improving how the planning software allocates ports and capacity for a new data center build. You will make a teammate's change better in review, tighten operational excellence on your service, and help a junior engineer level up - all on systems that run at a scale almost nowhere else can offer, with real ownership and teammates sharp enough to make you better. About the team MONA (Management, Out-of-Band Networks, and Automation) is part of AWS Networking. We are a highly motivated team of software, systems, and network developers who thrive on solving challenging problems and building large-scale distributed systems. AWS runs one of the largest networks in the world, and MONA alone owns the full lifecycle of over a million physical devices. Everything we run we build in-house: controllers, software-defined networking, planning software, and out-of-band management systems. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 3+ years of Object Oriented Design experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with server, storage, networking, or large-scale distributed systems - Experience building production software applications or understanding software development, distributed systems, and systems architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. Our team is rapidly growing and looking for an experienced Scrum Master to contribute to development efforts and join our passionate team of high-impact problem solvers. We enjoy the challenges of human-centered design, security, and scale to create better outcomes for our federal agency partners. We are a remote-first company and work completely in the open source. About the role: As a Scrum Master , your management and leadership activities are integrated with Scaled Agile Framework (SAFe) methodologies and many associated stakeholders. SAFe offers proven, integrated principles, practices, and competencies to implement agile and DevOps at scale. Additionally, this program office personifies DevSecOps which automates the integration of security at every phase of the software development lifecycle from initial design, through integration, testing, deployment, delivery, operation, and monitoring. Essential Job Functions: Prepare and maintain comprehensive documentation to ensure accuracy and completeness. Manage configuration items, including documentation, change control boards, and lifecycle management. Schedule and coordinate change control board meetings, documenting and implementing outcomes, changes, and ECPs in a fast-paced Agile/DevSecOps environment. Support a configuration management (CM) team integrated with multi-functional SAFe/DevSecOps and Fielding teams. Automate CM processes using approved tools and collaborate with Quality teams to ensure compliance with CM policies and automated workflows. Develop and implement a CM plan aligned with SSC policies and NIST 800-53 CM controls. Deliver software source code and released artifacts. Coordinate CM efforts with Project Management, Risk, Quality, and Task Leads across Development, Testing, Fielding/Sustainment, and Cloud Services. What We Are Looking For: Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field, with at least 3 years of experience. Minimum of 3 years of hands-on experience in software and hardware configuration management. Proficiency in application frameworks and tools, including Microsoft Office (Word, Excel), Adobe Acrobat, Confluence, Jira, GitLab, Puppet, Terraform, and Ansible. Ability to manage configuration in on-premises, hybrid, and cloud environments. Experience creating and updating configuration items and technical documentation. Ability to develop and refine workflows, with a focus on automation. Proficiency in applying Infrastructure as Code (IaC) principles. Highly preferred: Certifications: SAFe for Teams Certification, Security+, CISSP, or other relevant cybersecurity certifications. Industry Experience: Strong familiarity with relevant DoD and Industry work, particularly within Space Systems Command. Cyber Operations Expertise: Hands-on experience with DoD and USSF Defensive Cyber Operations. Clearance Requirements: Active Secret security clearance Work Type: Onsite- Colorado Springs, CO May require up to 10% travel Salary Range : $90,000 - $115,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Annual budget for your tech/gadgets needs Team off-site in fun places! Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are . We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Job Description Altamira brings a commercial mindset to solving the most complex national security problems by delivering mission application development, multi-intelligence analysis, and data science technologies and solutions to the defense, intelligence, and homeland security communities. Altamira's culture of innovation and excellence, and mid-market-size, positions us as the premier next generation leader bringing technology solutions to mission. Position Description We are seeking an experienced R&D Technical Lead to bridge the gap between AI/ML research and production-ready solutions. In this role, you will provide technical leadership across AI/ML and software engineering, guiding teams from early-stage research concepts through successful customer delivery. The ideal candidate brings a broad software engineering background combined with strong AI/ML expertise, with the ability to translate machine learning models and research into scalable, integrated software architectures. You will collaborate across disciplines to drive technical decisions, mentor development teams, and ensure solutions meet real-world customer needs. Our work focuses on applied AI/ML solutions for real-world object tracking, detection, and characterization, enabling advanced data triaging and system automation. These capabilities help our customers manage increasing volumes of data and address the challenges associated with data saturation. Core Responsibilities Team Leadership: Provide technical guidance to engineering teams, aligning project requirements to technical tasking System Architecture: Design and implement scalable, high-performance software systems that integrate AI/ML capabilities Collection Coordination: Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation. Technical Mentorship: Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines. Strategic Integration: Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps. Qualifications & Skills Education: Bachelor's or above in Computer Science, AI, or a related quantitative field. Experience: 7+ years of professional experience in machine learning, with at least 3 years leading teams from research or prototyping through production deployment. Computer Vision Expertise: Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics. Advanced Programming: Expert-level proficiency in Python and high-performance languages (C++/Rust/Java) alongside familiarity with backend deployment tools (Docker, Kubernetes). Data Management: Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections. Communication: Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

AWS runs one of the largest networks in the world, and MONA (Management, Out-of-Band Networks, and Automation) alone owns the full lifecycle of over one million physical devices. We are in the critical path for every new data center powering the AI revolution. Everything we run, we build in-house: controllers, software-defined networking (SDN), and planning software. For example, we own a controller for agentic network auto-remediation, and the planning software that plans every new data center down to capacity and ports. We are looking for a Software Development Engineer II to own the design and delivery of core components of these systems end-to-end - from design through production - and to keep growing your technical scope. You do not need a networking background up front; strong engineers learn our domain here, on a team that invests in your growth and gives you real ownership at a scale almost nowhere else can offer. Key job responsibilities - Own the design, implementation, and operation of well-scoped components and features of our in-house network software - controllers, SDN, planning software, and out-of-band systems - end-to-end. - Turn ambiguous requirements into high-quality, well-tested, scalable code; contribute to design docs and design reviews. - Operate your services in production and uphold high operational standards, improving monitoring and alarming as you go. - Drive correctness and safety for automation that acts on production networks: idempotency, guardrails, and observability that proves work actually happened. - Collaborate with your team and partner teams to evolve the product and continuously improve code, processes, and quality. - Mentor junior engineers and contribute to the team through thoughtful code reviews. - Participate in the on-call rotation for the services you own. A day in the life You own a component end-to-end: you write the design, build it, ship it, and operate it. One morning you are extending our controller for agentic network auto-remediation; the next you are improving how the planning software allocates ports and capacity for a new data center build. You will make a teammate's change better in review, tighten operational excellence on your service, and help a junior engineer level up - all on systems that run at a scale almost nowhere else can offer, with real ownership and teammates sharp enough to make you better. About the team MONA (Management, Out-of-Band Networks, and Automation) is part of AWS Networking. We are a highly motivated team of software, systems, and network developers who thrive on solving challenging problems and building large-scale distributed systems. AWS runs one of the largest networks in the world, and MONA alone owns the full lifecycle of over a million physical devices. Everything we run we build in-house: controllers, software-defined networking, planning software, and out-of-band management systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 3+ years of Object Oriented Design experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with server, storage, networking, or large-scale distributed systems - Experience building production software applications or understanding software development, distributed systems, and systems architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

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 Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.

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.

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually

AWS runs one of the largest networks in the world, and MONA (Management, Out-of-Band Networks, and Automation) alone owns the full lifecycle of over one million physical devices. We are in the critical path for every new data center powering the AI revolution. Everything we run, we build in-house: controllers, software-defined networking (SDN), and planning software. For example, we own a controller for agentic network auto-remediation, and the planning software that plans every new data center down to capacity and ports. We are looking for a Software Development Engineer II to own the design and delivery of core components of these systems end-to-end - from design through production - and to keep growing your technical scope. You do not need a networking background up front; strong engineers learn our domain here, on a team that invests in your growth and gives you real ownership at a scale almost nowhere else can offer. Key job responsibilities - Own the design, implementation, and operation of well-scoped components and features of our in-house network software - controllers, SDN, planning software, and out-of-band systems - end-to-end. - Turn ambiguous requirements into high-quality, well-tested, scalable code; contribute to design docs and design reviews. - Operate your services in production and uphold high operational standards, improving monitoring and alarming as you go. - Drive correctness and safety for automation that acts on production networks: idempotency, guardrails, and observability that proves work actually happened. - Collaborate with your team and partner teams to evolve the product and continuously improve code, processes, and quality. - Mentor junior engineers and contribute to the team through thoughtful code reviews. - Participate in the on-call rotation for the services you own. A day in the life You own a component end-to-end: you write the design, build it, ship it, and operate it. One morning you are extending our controller for agentic network auto-remediation; the next you are improving how the planning software allocates ports and capacity for a new data center build. You will make a teammate's change better in review, tighten operational excellence on your service, and help a junior engineer level up - all on systems that run at a scale almost nowhere else can offer, with real ownership and teammates sharp enough to make you better. About the team MONA (Management, Out-of-Band Networks, and Automation) is part of AWS Networking. We are a highly motivated team of software, systems, and network developers who thrive on solving challenging problems and building large-scale distributed systems. AWS runs one of the largest networks in the world, and MONA alone owns the full lifecycle of over a million physical devices. Everything we run we build in-house: controllers, software-defined networking, planning software, and out-of-band management systems. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 3+ years of Object Oriented Design experience - 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with server, storage, networking, or large-scale distributed systems - Experience building production software applications or understanding software development, distributed systems, and systems architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon WorkSpaces has protected and empowered enterprise work for over a decade, and we are now reimagining what a workspace is. We are building Agentic WorkSpaces: a platform where the workspace itself is an active partner in how you work, not just infrastructure that delivers applications. Today more than a million users rely on WorkSpaces daily; tomorrow those workspaces will host AI agents alongside humans, agents that code, troubleshoot, analyze, and act on behalf of their users, governed by the same identity and security policies as the people they serve. We compete with Microsoft, Citrix, and Omnissa, and we intend to leapfrog them by building the workspace that was designed for the agentic era, not retrofitted for it. Agentic Workspaces' On-Instance Software (OIS) is the layer that makes this possible from the inside of every WorkSpace: the operating system, provisioning logic, on-instance agents, telemetry, and update mechanisms across Windows and Linux. Our vision is for that software to be invisible, operating systems that launch within weeks of upstream general availability, agents that update themselves safely without disrupting access, provisioning that is self-diagnosable, and fleet management that works through the same AWS tools customers already use, delivered from commercial regions to classified partitions with automation as the default so quality and breadth improve release over release. Knowledge of Linux operating systems, Linux package management, and native Linux desktop application development is desired. You want to solve challenging problems in operating systems, identity, AI, and desktop platform engineering at a scale that impacts more than a million users daily. We are looking for a Software Development Engineer to design, build, and operate the services and agents that provision, secure, and maintain WorkSpaces for humans and, increasingly, for the AI agents that work beside them, across every supported OS and identity provider. As a developer on our team, you'll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You will own end-to-end delivery of features and systems within OIS - from design through deployment and operations - holding a high bar for availability, latency, and security. You are customer-obsessed, technically deep, and energized by solving hard problems. You think big about what the workspace of the future looks like - a unified agent shipping to two platforms from one code base, an identity model that treats humans and agents as first-class citizens, and autonomous troubleshooting that resolves issues before users notice - and then you build the systems to get there. Key job responsibilities Design and deliver features and systems within On-Instance Software, contributing to the architecture strategy for how the on-instance layer evolves to host and govern AI agents alongside human users. Drive the agent unification work that lets Windows and Linux features ship from a single codebase, making feature parity the default rather than a follow-up. Partner with EC2, identity providers, self-service troubleshooting, and platform teams - earning trust by driving technical discussions that result in impactful architectural decisions. Design and implement on-instance identity, security, and governance for a world where humans and agents share the same desktop: identity integration across the major join models, a trust and authorization posture that treats agents as first-class principals, and compliance-ready images built in rather than bolted on. Own the operation of low-latency, high-availability provisioning and agent services used by more than one million WorkSpaces users globally. Ensure your services meet stringent SLAs across multiple production regions, AWS partitions, and OS variants, with self-service diagnostics and autonomous issue resolution before customers are impacted. Drive engineering excellence through instrumentation, automated testing, and pipeline-based deployment - eliminating manual toil and shipping features simultaneously across Windows and Linux. Think big about the agentic era and experiment boldly with AI-powered capabilities such as conversational setup, natural-language troubleshooting, and AI-assisted fleet management. Raise the bar on customer self-service so operating-system breadth, safe automatic updates, and reliable provisioning are delivered without imposing an operational tax on the customer or the agent workflows running on the desktop. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.

Job Description Job Description About Company: Papigen is a fast-growing global technology services company delivering innovative, enterprise-grade digital solutions across industries. We specialize in technology transformation, enterprise modernization, and advanced capabilities including Cloud, Data Engineering, Artificial Intelligence, and Digital Platforms. With deep domain expertise in financial services and complex enterprise environments, Papigen partners with organizations to modernize legacy systems, enable data-driven decision-making, and build scalable, secure, and high-performing applications. Our services span consulting, product engineering, data analytics, DevOps, and intelligent automation, helping clients accelerate innovation while ensuring operational excellence and regulatory compliance. We adopt a client-centric approach that combines strategic thinking with hands-on engineering execution. Our teams work collaboratively across global delivery centers, leveraging Agile and SAFe methodologies to deliver high-quality solutions in fast-paced environments. At Papigen, we foster a culture of innovation, continuous learning, and collaboration, providing professionals with opportunities to work on cutting-edge technologies, solve complex business challenges, and contribute to impactful digital transformation initiatives. Job Title: Senior Developer III (PowerApps, .NET Core & Azure) Job Location: Washington D.C (Hybrid) Role Summary: We are seeking a Senior Developer III to lead the design and development of a PowerApps-based Syndications Management Platform. The platform will serve as a centralized solution for project lifecycle management, fund allocation automation, investor interactions, workflow orchestration, and real-time reporting. The ideal candidate will possess strong expertise in Microsoft Power Platform, .NET Core, Azure, and enterprise integration architectures, with the ability to translate business requirements into scalable technical solutions. Scope of Work & Key Responsibilities: Design and implement technical architecture for a unified syndications management platform. Develop workflow solutions for pipeline-to-portfolio project tracking and management. Build and automate fund allocation models based on eligibility criteria, allocation rules, and audit requirements. Design real-time synchronization and integration between enterprise systems and applications. Implement stage management workflows, notifications, alerts, and investor engagement capabilities. Develop scalable solutions using PowerApps, .NET Core, Azure services, and Dataverse. Integrate reporting and analytics capabilities using Power BI and enterprise data sources. Establish security, data access controls, and compliance standards for platform operations. Support event-driven automation and workflow orchestration across business processes. Optimize application performance, scalability, reliability, and maintainability. Collaborate with product owners, architects, developers, and business stakeholders throughout the project lifecycle. Participate in Agile ceremonies, technical reviews, and solution planning activities. Required Skills & Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent practical experience). 8+ years of experience with Microsoft Power Apps and business process automation solutions. Proven experience designing and delivering enterprise applications using .NET Core and React JS. Strong expertise in Microsoft Power Platform, Dataverse, and workflow automation. Experience working with Microsoft Azure services and cloud-native architectures. Strong knowledge of enterprise systems integration, API connectivity, and secure application design. Experience with Power BI, SQL, reporting frameworks, and data validation techniques. Strong understanding of financial systems, CRM platforms, SAP integrations, and loan servicing processes. Experience with Dataverse data modeling and application architecture. Knowledge of event-driven architectures and automation frameworks. Experience working within Agile delivery environments. Strong communication, stakeholder management, and technical documentation skills. Preferred Skills: Experience developing financial modeling or allocation management systems. Familiarity with AI and Copilot capabilities within the Power Platform ecosystem. Experience designing enterprise reporting and dashboard solutions. Exposure to Azure AI services and intelligent automation technologies. Why Join Us: Opportunity to lead enterprise-scale cloud and AI transformation initiatives. Work on cutting-edge Agentic AI architectures and multi-cloud platforms. Collaborative environment with global teams and high-impact projects. Exposure to modern DevSecOps, platform engineering, and AI-driven solutions. Strong focus on innovation, leadership growth, and continuous learning in emerging technologies.

Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver on a scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Position Summary Credence has an immediate need for an Instructor of Digital Acquisition (Technical) who will be primarily responsible for supporting the School of Systems and Logistics (AFIT/LS) at Wright Patterson AFB, OH. AFIT/LS is the Air Force's sole provider of professional continuing education courses in the areas of acquisition, logistics, data, and software engineering. With more than 100 courses, workshops, and seminars, the school plans, develops, and conducts courses and programs to satisfy the educational needs of logistics, systems, and acquisition customers from the Air and Space Force, DoD, and other federal agencies. More than 20,000 students receive education from AFIT/LS each year. The school currently offers Air Force courses ranging in length from two days to five weeks in the disciplines of acquisition management, engineering management, data, and sustainment. AFIT/LS leverages technology to provide its courses, workshops, and seminars not only live in-person but virtually as well as web-based, combining technology with experts in the field. AFIT/LS provides the acquisition and logistics workforce with the knowledge, skills, and abilities to manage the entire spectrum of a system's life cycle. Responsibilities include, but are not limited to the duties listed below: Develop and administer Professional Continuing Education (PCE) to educate and train joint service active duty, reservist, National Guard, officers, enlisted personnel, and civilians on tactical, strategic, and operational levels of AF/DoD Digital Acquisitions. Interact with course sponsors, subject matter experts, and instructional systems designers to determine education needs and develop, maintain, and instruct course content appropriately. Ensure all curricula are approved by course leadership and designed to facilitate understanding and engagement in accordance with curriculum standards. Document course lectures, notes, presentations, and assignments to maintain continuity of the position and support knowledge transfer to a successor contractor or Government individual. Coordinate course offerings, document courses in accordance with Air Force and AFIT policies and conduct post-offering assessments. Instruct students across multiple approved educational platforms and settings, including traditional in-residence/on-site classrooms and distance learning services. Travel and instruct at different locations, both CONUS and OCONUS, as mission requires and as approved by the Government. Participate in consultation efforts and attend or participate in workshops, conferences, technical interchanges, or similar venues as approved by the Government on a case-by-case basis. Assist faculty and staff with graduate-level research, including literature reviews, data collection, technical writing, instruction, and other duties as required. Requirements Must be a U.S. citizen and able to obtain a Secret Security Clearance. This requirement is mandatory for consideration. Bachelor's degree in a STEM-related field and ten (10) years of experience in engineering or a related technical discipline, with at least three (3) years of applied systems engineering experience. Experience in digital engineering, model-based systems engineering, digital modeling, or a similar digital acquisition area is required. Experience with digital modeling languages and tools is required. Experience with Model-Based Systems Engineering (MBSE). Strong background in SysML, Cameo, and No Magic preferred. Knowledge of DAF, DoD, or USAF engineering policies, guides, and directives. Why This Role Matters Real-World Impact - Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being. Growth-Oriented Environment - Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices. Culture of Empowerment - You'll be part of a team that values innovation, trust, collaboration, and mission success. Please join us, as together we build a better world one mission at a time powered by Technology and its People! Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Job Description Job Description About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community-speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms Establish best practices, architectural patterns, and frameworks for AI integration across projects Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events Publish technical articles, case studies, and thought leadership content on AI applications and business impact Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities Present real-world examples of AI-driven solutions and their business outcomes to potential customers Build relationships with media, analysts, and industry influencers in the AI space Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing Share AI insights and best practices across the organization through training sessions, demos, and documentation Work with sales and marketing to develop AI-focused messaging and customer narratives Identify and communicate AI-driven competitive advantages and business opportunities Run internal workshops and brown bag sessions on AI tools, techniques, and applications Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype) Demonstrated experience building AI-powered applications or integrations that solve real business problems Proven ability to communicate complex technical concepts to both technical and non-technical audiences Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field Collaborative leader who elevates teams and builds organizational capability around AI Deep curiosity about emerging AI capabilities and their business applications Required Qualifications Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations) Strong technical background in software engineering, data engineering, AI/ML, or related field Proven ability to communicate AI concepts to multiple audiences (technical and non-technical) Experience building or architecting AI-powered solutions that deliver measurable business value Track record of external communication: speaking, writing, community engagement, or recognized expertise Strong understanding of AI capabilities, limitations, and ethical considerations Ability to evaluate emerging AI tools and articulate their potential impact and use cases Experience working with customers to identify and implement AI solutions Excellent verbal and written communication skills Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications Experience with prompt engineering and fine-tuning LLMs Background in consulting, systems thinking, or strategic advisory Experience building agentic workflows or AI-assisted development tools Published technical content, speaking engagements at industry events, or recognized thought leadership Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.) Experience in healthcare, financial services, or enterprise software domains Background in product strategy or go-to-market positioning Data science or machine learning background Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms LLM Platforms: Claude, ChatGPT, Codex Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face Development: Python, JavaScript, SQL Cloud Platforms: Azure, AWS, Google Cloud Data Tools: Vector databases, RAG frameworks, embedding models Monitoring & Observability: Langsmith, Arize, or similar AI observability tools Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.

Job Description Job Description Role Overview We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows . This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient . You will operate at the intersection of AI, engineering, and healthcare operations , delivering real-world impact across critical payer workflows. Key Responsibilities1. AI-Driven Business Transformation Redesign healthcare processes using AI-first principles Identify opportunities to replace or augment manual workflows with AI agents Translate business problems into working AI solutions 2. Agentic AI Design & Deployment Design, build, and deploy AI agents for enterprise workflows Implement multi-agent systems using LLMs (prompting, memory, tool usage) Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini) 3. Forward Deployed Execution Work directly with client teams (business + IT) to: Whiteboard solutions Build prototypes in days/weeks Deploy and iterate rapidly Operate as a trusted advisor and builder 4. AI-Augmented SDLC Leverage AI across the software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability Drive productivity improvements across engineering teams 5. Enablement & Adoption Train business and operations teams to: Use AI tools and agents effectively Build and iterate workflows independently Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) Claims Processing & Adjudication Prior Authorization Member & Provider Contact Center Provider Data Management Care Management & Utilization Review Revenue Cycle & Payment Integrity Required SkillsTechnical Strong software engineering background ( Python, APIs, microservices ) Experience with LLMs, prompt engineering, and AI frameworks Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) AI & Data Experience building AI/ML or LLM-powered applications Understanding of structured and unstructured data pipelines Knowledge of model evaluation, monitoring, and governance Cloud Experience with: AWS Azure Consulting Mindset Strong communication and stakeholder management Ability to work directly with business teams Experience in rapid prototyping and iterative delivery Preferred Experience in U.S. healthcare payer or PBM environments Understanding of claims, prior auth, or care management workflows Familiarity with regulatory/compliance (HIPAA) Experience 6-12+ years in software engineering, AI, or related roles Prior client-facing / consulting experience preferred What Makes This Role Unique Work at the forefront of AI-driven enterprise transformation Build real-world AI agents replacing traditional workflows Direct business impact through a forward-deployed model Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics Number of workflows transformed using AI Reduction in manual effort and cost-to-serve Adoption of AI tools by business teams Speed from prototype to production