Jobs at Sedaro

Owns the full business development and capture lifecycle for U.S. defense, intelligence, space, prime contractor, and commercial accounts. Responsibilities include pipeline development, opportunity qualification, RFI/RFP shaping, competitive intelligence, win strategy, teaming, pricing, proposal reviews, executive engagement, industry events, forecasting, and BD metrics. Partners with engineering and program teams to align customer needs with product roadmaps and pursue major government contract vehicles.

Contribute to Kubernetes-based multi-cloud infrastructure, production optimization, observability, alerting, SLOs, infrastructure as code, CI/CD, and continuous compliance. Collaborate with senior engineers to build automation and foundational platform capabilities supporting aerospace simulation workloads. Participate in continuous learning and cross-functional engineering initiatives.

Develop high-fidelity simulation software and analysis tools for complex physical systems. Configure and execute large-scale simulations using cloud computing for uncertainty quantification, sensitivity analysis, and optimization. Analyze simulation outputs, create visualizations, validate models against real-world data, and collaborate with interdisciplinary engineering teams. The role also involves writing clean, maintainable Python code and applying Git, automated testing, and software development practices.

Leads the complete government and commercial capture lifecycle, including opportunity identification, capture strategy, proposal development, customer and partner relationships, and contract award. Coordinates cross-functional teams, establishes proposal schedules, develops win themes, ensures RFP compliance, manages budgets and risks, and supports customer engagements. The role focuses on winning aerospace and defense contracts, particularly through federal acquisition processes such as FAR, DFARS, and OTA-based contracting.

Software Engineer Interns will build end-to-end features for an aerospace simulation platform, developing React and TypeScript user interfaces alongside Python and Django APIs. Responsibilities include designing API contracts, creating data visualizations, writing automated tests, and delivering iteratively in a Lean and Agile environment. The role provides hands-on experience with cloud-native infrastructure and technologies including Kubernetes and PostgreSQL.

Build frontend tools for aerospace simulation modeling, workflow and job management, 3D playback, data visualization, and analytics. Develop interfaces for configuring complex systems, exploring simulation results, and scheduling runs. Contribute to design systems and component libraries, shape frontend information architecture, and improve performance and reliability at scale using React, TypeScript, and Cesium.

Contribute to a compiler and runtime powering a cloud-native aerospace simulation platform. Responsibilities include building compiler, query language, and type system features; developing runtime data structures, algorithms, and utilities; improving software quality practices; and tracking performance of static and generated code using Rust, Python, Kubernetes, and gRPC.

Develop high-fidelity simulation software and analysis tools for complex aerospace systems. Validate models against real-world data, run large-scale cloud-based simulation studies for uncertainty quantification and optimization, review code, and provide technical input to external stakeholders. The role is a hands-on engineering position requiring software development, data analysis, visualization, and collaboration across interdisciplinary teams.

Develop and optimize distributed multi-physics simulation runtimes for cloud and edge environments. Lead features, improve parallelism and caching, profile performance, build QA frameworks, maintain reliability, review code and designs, document systems, and guide technical research. The role requires strong systems programming experience, Rust or comparable compiled languages, cloud and container technologies, and performance optimization expertise.

Develop high-fidelity simulation software and analysis tools for complex physical systems. Build, validate, and improve simulation models using real-world data; configure large-scale cloud-based simulation studies for uncertainty quantification, sensitivity analysis, and optimization; review code; collaborate with engineering teams; and support customer contract meetings with technical demonstrations.

Lead DevOps engineering for a Kubernetes-based, multi-cloud simulation platform. Responsibilities include optimizing production infrastructure for security, reliability, and cost; implementing observability, alerting, and SLOs; driving infrastructure as code, CI/CD, automation, and continuous compliance; and promoting operational excellence and continuous improvement. The role also involves enabling teammates, supporting incident response practices, and strengthening security and vulnerability management.

Manage U.S. Government and commercial contract administration and program-support logistics. Responsibilities include tracking modifications, options, deliverables, closeouts, clearances, system access, government accounts, DD Form 254 actions, invoicing support, agreements, and compliance requirements. Serve as the primary liaison with government contracting and security personnel, coordinate pre- and post-award activities, and build scalable contract operations processes, templates, workflows, and lifecycle-management systems.

Develop high-fidelity simulation software and analysis tools for complex physical systems, validate models against real-world data, and conduct large-scale cloud-based simulation studies for uncertainty quantification, sensitivity analysis, and optimization. The role also includes technical project ownership, code reviews, cross-team collaboration, and supporting external stakeholder meetings with technical demonstrations.

Architect and build a distributed workflow orchestration and execution engine for large-scale aerospace simulation campaigns. Responsibilities include optimizing multi-cloud systems for performance, reliability, and cost; implementing observability, alerting, and SLOs; driving infrastructure as code and CI/CD practices; leading root cause analysis and blameless postmortems; and improving operational excellence across the platform.