Top Tech Jobs & Startup Jobs

Designs and implements secure, scalable cloud architectures for mission-critical applications and enterprise services. Responsibilities include cloud-native application deployment, automation and scripting, application modernization, cloud migration, infrastructure improvement, and collaboration with engineering and technical leadership. The role evaluates emerging cloud technologies and supports secure commercial cloud environments, with preferred experience in AI/ML, analytics, deep learning, GPU workloads, Infrastructure as Code, and cloud orchestration.

Develop and maintain Java and Spring software for space domain awareness and intelligence systems. Apply astrodynamics and orbital mechanics knowledge to mission algorithms, build containerized microservices with Docker and Kubernetes, and work with distributed databases, data platforms, and messaging frameworks. Responsibilities span design, coding, testing, debugging, deployment, configuration management, and production support while collaborating with systems engineers, data scientists, and mission experts.

Develop and maintain scalable ETL pipelines, Python-based data processing solutions, and AWS cloud data platforms. Support data ingestion, transformation, workflow reliability, performance optimization, testing, deployment, and sustainment. Collaborate within Agile engineering teams and with mission stakeholders to modernize data workflows, troubleshoot production issues, improve data quality, and transform structured and unstructured data into actionable insights.

Develop and maintain enterprise web applications using Java and Angular across the full software development lifecycle. Design software solutions, interfaces, web services, database integrations, and technical documentation. Support Agile development, testing, quality assurance, source control, CI/CD, and DevOps practices using Git and Jenkins. Provide technical guidance to junior developers, collaborate with distributed teams and stakeholders, and contribute to architecture, engineering standards, and continuous improvement.

Design and develop distributed, event-driven software systems for reliable data processing and real-time operational awareness. Build Python applications, Kafka-based messaging solutions, modular services, observability dashboards, monitoring, alerting, and fault-tolerant architectures. Support JSON data interchange, access controls, troubleshooting, technical documentation, and collaboration across engineering and mission teams.

Develop responsive Vue.js interfaces for a mission-critical space domain awareness platform. Responsibilities include creating reusable UI components, translating designs into code, integrating RESTful APIs, optimizing performance, participating in code reviews, and resolving production UI issues. The role requires collaboration with UX/UI designers and distributed engineering teams, with onsite work in Chantilly, Virginia.

Develop and maintain full-stack enterprise applications using Java, modern front-end frameworks, relational databases, RESTful APIs, and AWS. Responsibilities include designing backend services and responsive interfaces, optimizing database solutions, deploying cloud applications, troubleshooting performance and integration issues, participating in testing and code reviews, and contributing across the software development lifecycle. The role supports critical national security missions and requires TS/SCI with full-scope polygraph clearance.

Designs, develops, and maintains enterprise data pipelines and cloud-based data solutions supporting Intelligence Community missions. The role uses Python and AWS to ingest, transform, integrate, and optimize structured and unstructured data. Responsibilities include production support, automation, testing, deployment, Agile collaboration, troubleshooting, documentation, and improving data platform scalability and reliability.

Develop and integrate scalable ETL pipelines within Palantir Foundry using Python and PySpark. Build data ontology and governance capabilities, implement monitoring and observability, ensure data quality, and support DevOps deployment of reliable data products. Collaborate with engineers, analysts, platform teams, and mission stakeholders to prepare validated datasets for analytics and exploitation.