• Lead complex AWS projects from concept to implementation — particularly migrations and digital transformations. • Analyze customer needs, structure requirements, and develop pragmatic solution approaches. • Design cloud architectures that are scalable, secure, and cost‑efficient. • Implement and configure AWS services independently or as part of a team. • Support the presales process, prepare proposals, and conduct customer workshops. • Act as a mentor for junior consultants and empower customers through training and enablement. • Communicate technical concepts to both technical and non‑technical stakeholders.

• Design, build, and maintain Go microservices that handle AI model inference, data processing pipelines, and real-time streaming workflows. • Architect scalable APIs (gRPC/REST) that serve as the bridge between AI models and production applications. • Own the Kubernetes infrastructure (EKS), including deployments, autoscaling policies, service mesh, and cluster health monitoring. • Implement service-to-service communication using gRPC and message queues (RabbitMQ/SQS) for asynchronous processing. • Integrate with cloud AI services (AWS Bedrock, OpenAI, Anthropic) and manage model serving infrastructure. • Build multi-tenant capabilities including authentication (JWT/JWKS), rate limiting, usage tracking, and tenant isolation. • Partner with the Data & AI team to productionize machine learning models—wrapping them in production-ready services with proper health checks, circuit breakers, and graceful degradation. • Build comprehensive observability: structured logging, metrics (Prometheus), distributed tracing (Jaeger/Tempo), and alerting. • Implement CI/CD pipelines and infrastructure-as-code (Terraform) for automated deployments and disaster recovery. • Ensure high availability through proper monitoring, incident response, and post-mortem analysis. • Optimize resource utilization for GPU workloads and cost-efficient scaling strategies.

Please review the job details below. Lanteris Space Systems unlocks the promise of space to help governments and businesses solve problems on Earth and beyond. As a leading provider of comprehensive space technologies, we deliver innovative solutions across mission systems engineering, product design, spacecraft manufacturing, assembly, integration, and testing. With more than 60 years of mission expertise, we are a trusted partner in commercial and government missions, known for reliable performance and longevity. Our values drive us to collaborate on missions, ensure quality, unleash innovation, and let our people shine. Position Overview Lanteris Space Systems is seeking a Platforms Engineer to design, implement, and maintain our enterprise management platform that supports the entire Lanteris software team. This role will be critical to both our CMMC compliance efforts and our broader platform engineering strategy. This role may be based remotely in the US or in Palo Alto, CA. You will be responsible for deploying and maintaining GitLab and other software platforms using Crossplane, Kubernetes and AWS. The platform team leverages Crossplane to provision and manage AWS infrastructure for programs across the organization. As a member of our platform team, you'll design and maintain multiple DevOps pipelines and platforms that integrate and deploy components into our system infrastructure across multiple networks and cloud architectures. Principal Responsibilities - Deploy and maintain GitLab infrastructure using Crossplane in Kubernetes - Utilize GitOps tooling to provision and rollout AWS infrastructure for programs, as well as debug and resolve issues with provisioned services - Design, implement, and maintain platform services including management infrastructure, CI/CD infrastructure, observability, security, and software packaging/storage/workflow - Implement CI/CD solutions to support rapid development and integration across the Lanteris software team - Maintain CI/CD pipelines as a service, integrating static code analysis, security mechanisms, and enablement solutions - Collaborate with software and system engineers to apply automated testing, documentation processes, and CI/CD best practices - Troubleshoot and resolve network, automation pipeline, and infrastructure issues - Build, maintain, and monitor configuration management of release products ​ Minimum Requirements - Must be a US Citizen or permanent resident - Bachelor's degree in Computer Science or related discipline, four additional years of experience may be substituted for a degree - Python experience - Experience working in an Agile environment Preferred Qualifications - Strong experience with Kubernetes, preferably including Crossplane or other automated deployment tools for Kubernetes - AWS Solutions Architect or other relevant cloud certifications - Experience with distributed processing methods and tools (REST APIs, micro-services, AWS, Kubernetes, Docker) - Experience with hybrid large-scale infrastructure (multi-cloud and on-premises) - Experience with Java, Python, and JavaScript build ecosystems - Experience deploying and maintaining GitLab at enterprise scale In support of pay transparency at Lanteris Space Systems, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $66,000.00 - $111,000.00 annually. ● The base pay for this position within New Jersey is: $66,000.00 - $111,000.00 annually. ● The base pay for this position within Delaware is: $66,000.00 - $111,000.00 annually. ● The base pay for this position within California is: $77,000.00 - $128,000.00 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. We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. More information on our benefits will be shared with candidates as they move forward in the recruitment process. 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 the Lanteris Space Systems Career page at the top of each job posting. To apply, submit your application via the Lanteris Space Systems Career page. Lanteris Space Systems values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

• Build and maintain AI agent systems (LLM-based) with a focus on reliability and factual accuracy. • Implement and optimize hallucination detection models (e.g., HHEM) in production pipelines. • Develop RAG pipelines: semantic search, vector databases, and data retrieval to ground AI responses in real data. • Apply Responsible AI practices: guardrails, transparency, logging, and human-in-the-loop escalation. • Optimize system performance for latency, scalability, and cost-efficiency. • Collaborate with cross-functional teams (product, UX, data, customers) to deliver features. • Mentor junior engineers and support knowledge sharing within the team. • Contribute to internal tools, open-source projects, or research publications when relevant.