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Genesis10 is currently seeking a Senior AI Agentic Senior Technical Engineer for a 3+ month contract to hire opportunity with a Regional Financial Institution located in Columbus, OH; Akron, OH; Cleveland, OH; Cincinnati, OH; Minneapolis, MN; Dallas, TX; Detroit, MI; Ch Compensation: $107.00 - $117.00 per hour, W2, based on qualifications Position Overview: This role is responsible for building AI agents, developing API integrations, and implementing Pub/Sub messaging solutions. The ideal candidate understands the full agentic AI development lifecycle and has experience designing and developing AI solutions. Initially, the role focuses on building AI capabilities for the Commercial Services Loan Operations team, with the expectation that these solutions will eventually scale across the enterprise. This is a hands-on development role that involves close collaboration with cross-functional teams and ownership of projects to ensure continuity and successful delivery. Key Responsibilities: Design and implement production agent workflows using reference patterns: single-agent, supervised multi-agent, and tool-using agents Build tool integrations to enterprise services and banking systems (APIs, data products, document services) with strong error handling and audit logging Engineer RAG pipelines and retrieval behavior (chunking, embedding selection, re-ranking, context assembly) Implement agent memory and state management patterns that are compliant and operationally safe Create and maintain evaluation harnesses and regression suites for non-deterministic outputs Implement required guardrails (prompt injection defenses, tool restrictions, output filtering) and pass pre-deployment security gates Instrument agents for observability: decision traces, tool-call telemetry, retrieval diagnostics, token/cost metrics, and quality signals Ship via CI/CD with production readiness: feature flags, rollbacks, versioning, and runbooks Lead design and code reviews for agent components and mentor other engineers Debug complex failure modes and implement mitigations Primary Requirements: 7+ years in software engineering with 2+ years building LLM-enabled applications or agent systems in production Hands-on experience with at least one frontier model platform (Claude, GPT-4+, Gemini) including tool use and multi-turn workflow design Experience developing and integrating APIs Experience with end-to-end testing of agentic AI solutions Cloud engineering experience, including hands-on experience with Cloud Run Production delivery experience: CI/CD, containerization (Docker), and operational readiness (monitoring, logging, incident response) Java development experience Kubernetes experience Experience implementing and validating RAG systems (vector search, embeddings, retrieval quality) Ability to design for reliability and safety: failure mode thinking, graceful degradation, and clear human escalation paths Desired Skills: Azure or AWS experience Experience with Pub/Sub and event-driven architectures Experience in regulated financial services (SOX, GLBA, data classification, audit expectations) Experience with evaluation frameworks and model monitoring practices Experience building multi-agent orchestration and constraint systems Familiarity with secure software development (threat modeling, SAST/DAST, secrets management) Strong communication and collaboration skills Experience leading technical initiatives or engineering teams Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About Carpe & the Role Carpe is an AI-native company building platforms and data products that help P&C insurance carriers make better decisions. At Carpe, we don't hand-write code anymore. We build with AI. As a Senior AI Software Engineer, you will turn business needs and prototypes into reliable production systems by directing frontier models and coding agents, shaping the environments they work in, and verifying what they deliver. AI is your primary way of building-not an autocomplete tool added to a traditional coding workflow. You bring extensive hands-on experience with frontier models, agents, and agent harnesses, plus the engineering judgment to take their work all the way through AWS deployment and production operation. You'll have a say in how we build. Our design and architecture patterns give you a solid starting point, not a set of limits. If a new approach or technology will better serve our customers, make the case. We care far more about how you think through tradeoffs than whether you've used every tool we use. Responsibilities Turn business needs into executable work. Partner with Product to define the problem, constraints, acceptance criteria, and customer outcome. Give agents the specifications, repository context, examples, and verification steps they need to deliver the right solution; resolve ambiguity before it becomes working software that solves the wrong problem. Architect systems and direct AI delivery. Break complex work into bounded tasks, choose interfaces and data flows, and direct agents through implementation, integration, and debugging. Use our approved patterns to address scale, latency, reliability, and data correctness across products. You own the architecture and outcome, even when AI produces the code. Build effective agent workflows and harnesses. Scope and steer bots through our team workflow, including Slack and Linear. Configure the context, tools, permissions, execution environments, and feedback loops around agents; manage handoffs, checkpoints, and recovery when they stall or go off course. Run a tight build-and-verify loop: the agent builds, you exercise the result in a live test environment, feed back precise findings, and repeat until the acceptance criteria are met. Choose models and approaches deliberately. Evaluate frontier models and coding agents on real engineering tasks, comparing output quality, reliability, context handling, latency, and cost. Match the model and harness to the work, and adapt as capabilities change. Let customer outcomes, not tool loyalty, guide decisions. Prove the result, not the agent's claim. Review architecture and generated changes at the level the risk demands; personally inspect sensitive changes. Use independent checks, representative data, automated tests, regression checks, and end-to-end behavior to catch plausible-but-wrong output. Where systems use models at runtime, evaluate their behavior and failure modes too. Ship and operate in AWS. Take AI-built software through cloud deployment and production support with QA and DevOps. Direct and verify infrastructure-as-code and CI/CD changes; understand access controls, secrets, networking, data storage, rollout, and rollback. Use logs, metrics, and traces to diagnose failures, verify recovery, and own incident follow-through-including failures introduced by agents. Make the next AI build better. Turn successful approaches and failures into reusable agent instructions, repository guidance, harness improvements, and verification routines. Keep architecture and operational context current so both people and agents can build on it. What we are looking for 7+ years of professional software engineering, delivering and supporting production systems (overall experience, not five years with today's AI tools). Extensive frontier-model experience. Substantial use of frontier models across multiple model families-for example, OpenAI, Anthropic Claude, and Google Gemini-in real software delivery. You can explain which models you choose for planning, implementation, debugging, and review; where they fail; and how you evaluate a new release. You actively experiment and clearly prefer building with AI over a hand-coding-first workflow. Extensive agent and harness experience . You have shipped meaningful work with coding agents and agent harnesses-not just chat prompts or autocomplete. Examples may include Claude Code, Codex, other agentic development environments, or custom harnesses. Extra credit for OpenClaw. You can configure repository instructions, context and tool access, isolated execution, task decomposition, verification, and recovery, and explain when orchestration helps versus adding overhead. End-to-end systems ownership. You have personally designed a complete system through professional or substantial independent work, with relevant professional experience around similar systems. Show how you directed AI from an initial specification through a working, deployed result, what you personally decided, and how you established that it worked. You don't need to have led a large-system initiative. Engineering depth behind the agents. Strong programming, debugging, architecture, and systems reasoning. You can read and interrogate generated code, trace data flows and service interactions, identify flawed assumptions, and steer a correction. We value your ability to make AI-built systems correct and maintainable-not the volume of code you type. AWS and cloud deployment experience. You have deployed and supported production software in AWS and understand the path from repository to running service: infrastructure as code, CI/CD, compute or containers, storage, networking, IAM, secrets, observability, and rollback. Explain a deployment or incident you owned and how you verified the outcome. Roll-up-your-sleeves, low-ego collaboration . Comfortable steering agents, investigating failures, explaining tradeoffs, and influencing without direct authority in a small. Share work and blockers openly, move across products, and help teammates improve their AI workflows while staying accountable for the customer outcome. Why Carpe? Your work shows up fast. At our size, what you build reaches customers quickly, and you quickly make an impact Growth: We have a clear growth framework with defined levels and competencies, so you always know what's expected and what "next" looks like. Collaboration: Work with teams in sales, marketing, engineering, product, and customer success. We Live our Values: Be Bold, Be Creative - Lead with Empathy - Act Like an Owner Flexible working hours and flexible vacation policy 100% Carpe-paid health, dental, and life insurance (Additional benefits at Employee cost) Full-time permanent positions are eligible for the Carpe Data Bonus Plan. 401k with company matching Location We are headquartered in Santa Barbara, CA. We work on a hybrid schedule: Tuesday/Wednesday/Thursday in the office. Salary Range $155,000 - 180,000. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate's skills, education, experience, and internal equity.

Job Description Job Description MSAD Systems Engineer V - Team Manager Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, were building technologies that protect lives, expand frontiers and prepare us for whats next. And were doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. Youll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. Were a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,forge the future with Voyager. The MSAD Systems Engineer V (Team Manager) is responsible for serving as a senior technical lead in Modeling, Simulation, and Algorithm Design (MSAD) Systems while providing people leadership for an engineering team. The role supports propulsion and aerospace programs through high-fidelity modeling, algorithm development, simulation architecture, and system-level performance assessment. The position reports to the Director of Engineering and is part of the Controllable Solid Propulsion department based in Folsom, CA. This role is hybrid or remote and can be based in Folsom, CA, Reno, NV, Huntsville, AL, Long Beach, CA or Remote. In this role, the essential functions are: Develop high-fidelity models and control algorithms for propulsion, flight control, and guidance subsystems. Develop system simulation architectures that support design iteration, verification, and validation. Perform controllability studies, define control system topologies, and support gain-tuning methodologies across system architectures. Support performance engineering through requirement derivation, margin analysis, performance trade studies, and Monte Carlo, sensitivity, and parametric analyses. Apply physics-based modeling to mechanical, thermal, aerodynamic, ballistics, propulsion, and actuation systems. Collaborate with multidisciplinary GNC, software, systems, and test teams to integrate modeling products and participate in customer engagements and technical reviews. Author and review technical documentation and ensure simulation models meet requirements for verification, validation, traceability, and configuration control. Mentor engineers and support technical trade studies, concept maturation, and modeling and controls peer reviews. If your experience aligns with our basic qualifications and you are inspired by our mission, wed like to connect. If you dont see the right role right now, Join Our Talent Community and stay connected as we continue to build whats next. Minimum Qualifications: Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, or another relevant engineering discipline from an accredited college/university. Equivalent experience may be considered in lieu of a degree. Ten (10) years of modeling, simulation, and algorithm design experience. Demonstrated expertise in systems engineering, modeling and simulation, control systems, or a closely related technical discipline. Strong analytical, verbal, and written communication skills, with the ability to work effectively in highly collaborative multidisciplinary environments. Experience leading and managing small technical teams and developing team members. Demonstrated ability to take on increasing technical responsibility and work independently on fast-paced programs. Experience with MATLAB and MATLAB Simulink programming, or similar tools. Ability to obtain and maintain a U.S. Security Clearance at the appropriate level. Preferred Qualifications: Controllable Solid Rocket Propulsion System performance modeling experience. Functional management of small, highly technical teams. Travel, Physical, and/or Government Mandated Requirements: Ability to travel approximately 10% of the time. Must be able to obtain and maintain a U.S. Security Clearance at the appropriate level. Applicants must meet applicable U.S. Government export control requirements, including ITAR/EAR eligibility, as applicable. The good faith base salary rangefor this role is $153,615 - $199,400 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future. This position is incentive plan eligible. Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being. Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees Flexible, affordable gym memberships with 12,700+ options nationwide 401(k) retirement plan with a 50% company match on contributions up to 8% Company wellness programs that support physical and mental well-being Additional voluntary benefits and employee support resources The opportunity to work alongside a highly talented team in an innovative, mission-driven environment Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120130) and the Export Administration Regulations (EAR) (15 CFR Parts 730774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Minority/Female/Disabled/Veteran The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. Compensation details: 00 Yearly Salary PI9a13319debc0-3914

MSAD Systems Engineer V - Team Manager Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, were building technologies that protect lives, expand frontiers and prepare us for whats next. And were doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. Youll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. Were a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person,forge the future with Voyager. The MSAD Systems Engineer V (Team Manager) is responsible for serving as a senior technical lead in Modeling, Simulation, and Algorithm Design (MSAD) Systems while providing people leadership for an engineering team. The role supports propulsion and aerospace programs through high-fidelity modeling, algorithm development, simulation architecture, and system-level performance assessment. The position reports to the Director of Engineering and is part of the Controllable Solid Propulsion department based in Folsom, CA. This role is hybrid or remote and can be based in Folsom, CA, Reno, NV, Huntsville, AL, Long Beach, CA or Remote. In this role, the essential functions are: Develop high-fidelity models and control algorithms for propulsion, flight control, and guidance subsystems. Develop system simulation architectures that support design iteration, verification, and validation. Perform controllability studies, define control system topologies, and support gain-tuning methodologies across system architectures. Support performance engineering through requirement derivation, margin analysis, performance trade studies, and Monte Carlo, sensitivity, and parametric analyses. Apply physics-based modeling to mechanical, thermal, aerodynamic, ballistics, propulsion, and actuation systems. Collaborate with multidisciplinary GNC, software, systems, and test teams to integrate modeling products and participate in customer engagements and technical reviews. Author and review technical documentation and ensure simulation models meet requirements for verification, validation, traceability, and configuration control. Mentor engineers and support technical trade studies, concept maturation, and modeling and controls peer reviews. If your experience aligns with our basic qualifications and you are inspired by our mission, wed like to connect. If you dont see the right role right now, Join Our Talent Community and stay connected as we continue to build whats next. Minimum Qualifications: Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, or another relevant engineering discipline from an accredited college/university. Equivalent experience may be considered in lieu of a degree.Ten (10) years of modeling, simulation, and algorithm design experience.Demonstrated expertise in systems engineering, modeling and simulation, control systems, or a closely related technical discipline.Strong analytical, verbal, and written communication skills, with the ability to work effectively in highly collaborative multidisciplinary environments.Experience leading and managing small technical teams and developing team members.Demonstrated ability to take on increasing technical responsibility and work independently on fast-paced programs.Experience with MATLAB and MATLAB Simulink programming, or similar tools.Ability to obtain and maintain a U.S. Security Clearance at the appropriate level. Preferred Qualifications: Controllable Solid Rocket Propulsion System performance modeling experience. Functional management of small, highly technical teams. Travel, Physical, and/or Government Mandated Requirements: Ability to travel approximately 10% of the time. Must be able to obtain and maintain a U.S. Security Clearance at the appropriate level. Applicants must meet applicable U.S. Government export control requirements, including ITAR/EAR eligibility, as applicable. The good faith base salary range for this role is $153,615 - $199,400 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future. This position is incentive plan eligible. Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being. Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees Flexible, affordable gym memberships with 12,700+ options nationwide 401(k) retirement plan with a 50% company match on contributions up to 8% Company wellness programs that support physical and mental well-being Additional voluntary benefits and employee support resources The opportunity to work alongside a highly talented team in an innovative, mission-driven environment Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120130) and the Export Administration Regulations (EAR) (15 CFR Parts 730774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Minority/Female/Disabled/Veteran The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. Compensation details: 00 Yearly Salary PI09a5-

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Senior Platform Engineer, AI Infrastructure to help build and operate the secure, scalable foundation for our AI-driven development organization. This role supports Site Sentry, Maritime Sentry, and Storyline-products delivered as part of the broader Tensorglobe spatial intelligence platform. You will work at the intersection of software engineering, cloud infrastructure, reliability, automation, and performance. You will help development teams move quickly and safely by improving the systems that build, deploy, monitor, and operate mission-critical applications across cloud, on-premises, and edge environments. The ideal candidate is a strong software engineer who can design and develop production-quality solutions, automate repetitive operational work, instrument systems for observability, troubleshoot complex failures, and continuously improve platform performance. Our codebase is primarily Python, and success in this role requires a pragmatic, hands-on approach to engineering and operations. Requirements Put security first: protect company, customer, mission, and operational data through secure-by-design engineering, least-privilege access, secrets management, threat-aware automation, and strong security and compliance practices. Design, implement, and maintain reliable CI/CD pipelines for software projects, including automated testing, quality gates, artifact management, release promotion, rollback, and deployment verification. Automate deployment, scaling, configuration, and monitoring of cloud-based infrastructure using technologies such as Kubernetes, Docker, Terraform, and Google Cloud services including Cloud Run. Troubleshoot infrastructure, deployment, availability, latency, capacity, and performance issues across distributed systems. Collaborate with software development teams to optimize code and services for performance, scalability, reliability, operability, and cost efficiency. Implement and enforce best practices for security, compliance, change management, incident response, and operational readiness. Continuously evaluate and recommend improvements to DevOps, SRE, developer productivity, observability, and platform engineering processes and tools. Demonstrated experience as a full-stack or backend software developer, with the ability to write maintainable production code-not only configuration and infrastructure definitions. Professional experience developing in Python and working with APIs, services, databases, automated tests, and source-control workflows. Strong communication and collaboration skills, with the ability to explain technical tradeoffs and partner effectively with engineering, product, security, and customer-facing teams. Responsibilities Own and improve platform reliability through SRE practices, including service-level objectives, monitoring, alerting, incident response, root-cause analysis, and operational reviews. Lead performance management and optimization for services, infrastructure, Cloud Run workloads, databases, and supporting platform components. Build and maintain deployment automation that makes releases repeatable, observable, secure, and easy to recover. Develop internal tools and platform capabilities in Python to reduce toil, improve developer experience, and make the right operational behavior the easiest behavior. Design and operate observability across logs, metrics, traces, health checks, dashboards, and actionable alerts. Partner with developers to improve application architecture, code quality, resource utilization, scalability, and production readiness. Build, deploy, and maintain on-premises environments at customer sites, including installation, upgrades, configuration, diagnostics, and lifecycle support. Support deployment models that span cloud, customer data centers, and edge environments, adapting engineering practices to security, connectivity, and operational constraints. Participate in technical design reviews, incident response, documentation, and continuous improvement initiatives across the platform and product lifecycle. Nice to Haves Experience with geospatial information systems (GIS), mapping, spatial data, or location-based applications. Experience working with satellite imagery, aerial imagery, remote sensing, computer vision, or other earth-observation data. Prior military, intelligence, defense, national security, or mission operations experience. Experience operating software in disconnected, air-gapped, classified, or otherwise highly controlled environments. Experience with AI/ML platform operations, model-serving infrastructure, evaluation pipelines, or responsible AI practices. Experience with PostgreSQL or other production databases, query and schema optimization, caching, and data lifecycle management. Experience with infrastructure-as-code, GitOps, policy-as-code, and supply-chain security. Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role. The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Job Description Job Description Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Security Engineer to establish and lead a dedicated infrastructure and network security engineering function within our Corporate IT and Information Security organization. In this senior technical role, you will design, build, and manage a dedicated AWS environment to power our security tooling, automation, and operational infrastructure, while also supporting our expanding Oracle Cloud Infrastructure footprint. You will drive enterprise network security initiatives-including firewalls, segmentation, WAF technologies, and zero-trust architectures-to protect our corporate office networks and remote access environments. Collaborating closely with Corporate IT, Network Engineering, Central Cloud Infrastructure, and platform engineering teams, you will deliver resilient security infrastructure that safeguards our expanding technology ecosystem. What you'll do Design, build, and manage a dedicated AWS environment owned by Corporate IT and Information Security to support security tooling, automation, and operational workloads Support Oracle Cloud Infrastructure environments as part of broader enterprise transformation initiatives Lead enterprise network engineering and network security initiatives across corporate office networks, firewalls, segmentation, and wireless environments Implement and manage VPN, remote access, WAF technologies, and secure connectivity architectures Drive zero-trust initiatives and enhance enterprise network visibility and monitoring Manage identity, access, endpoint, and server security platforms across the enterprise Develop infrastructure-as-code and cloud automation to scale security operations infrastructure Execute vulnerability management programs and establish enterprise infrastructure hardening and operational resiliency Provide detection engineering and incident response support across security platforms Partner closely across Corporate IT, Network Engineering, Central Cloud Infrastructure, Enterprise Systems, and platform engineering teams What we're looking for Demonstrate strong AWS and cloud security experience Exhibit strong networking and network security experience Show experience with enterprise identity systems and access management Display experience with security engineering infrastructure and automation Support hybrid enterprise and cloud-native environments Utilize modern infrastructure and security tooling Maintain familiarity with regulated environments such as PCI and SOC Possess experience with scripting and programming Experience leveraging AI tools to transform static workflows into responsive, high-output processes While not required, these are a plus: Use Python as the preferred language for scripting and programming 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $165,000.00 USD to $215,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Job Description Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Security Engineer to establish and lead a dedicated infrastructure and network security engineering function within our Corporate IT and Information Security organization. In this senior technical role, you will design, build, and manage a dedicated AWS environment to power our security tooling, automation, and operational infrastructure, while also supporting our expanding Oracle Cloud Infrastructure footprint. You will drive enterprise network security initiatives-including firewalls, segmentation, WAF technologies, and zero-trust architectures-to protect our corporate office networks and remote access environments. Collaborating closely with Corporate IT, Network Engineering, Central Cloud Infrastructure, and platform engineering teams, you will deliver resilient security infrastructure that safeguards our expanding technology ecosystem. What you'll do Design, build, and manage a dedicated AWS environment owned by Corporate IT and Information Security to support security tooling, automation, and operational workloads Support Oracle Cloud Infrastructure environments as part of broader enterprise transformation initiatives Lead enterprise network engineering and network security initiatives across corporate office networks, firewalls, segmentation, and wireless environments Implement and manage VPN, remote access, WAF technologies, and secure connectivity architectures Drive zero-trust initiatives and enhance enterprise network visibility and monitoring Manage identity, access, endpoint, and server security platforms across the enterprise Develop infrastructure-as-code and cloud automation to scale security operations infrastructure Execute vulnerability management programs and establish enterprise infrastructure hardening and operational resiliency Provide detection engineering and incident response support across security platforms Partner closely across Corporate IT, Network Engineering, Central Cloud Infrastructure, Enterprise Systems, and platform engineering teams What we're looking for Demonstrate strong AWS and cloud security experience Exhibit strong networking and network security experience Show experience with enterprise identity systems and access management Display experience with security engineering infrastructure and automation Support hybrid enterprise and cloud-native environments Utilize modern infrastructure and security tooling Maintain familiarity with regulated environments such as PCI and SOC Possess experience with scripting and programming Experience leveraging AI tools to transform static workflows into responsive, high-output processes While not required, these are a plus: Use Python as the preferred language for scripting and programming 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $215,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.