Job description

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: vantor.com 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.

Requirements

Must-haves

Please review the job details below.
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.
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.

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.
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.
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

goaipythonci/cdkubernetesdockerml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401(K)