Seeking a Senior Backend Developer with a passion for digital assets to architect and build cutting-edge systems at the intersection of technology and the digital economy.
Locations (2)
New York, New York, United States
Washington, Washington, United States
Responsibilities
Design, develop, and maintain scalable backend systems and APIs supporting digital asset platforms
Architect and optimize microservices, distributed systems, and cloud infrastructure
Collaborate with cross-functional teams including frontend, DevOps, and product to deliver robust solutions
Implement and maintain blockchain integrations, smart contract interactions, and digital wallet services
Ensure system security, performance, and reliability through code reviews and best practices
Lead design, development, testing, and sustainment of software systems for Naval Aviation Support Equipment and related platforms.
Compensation
Salary is negotiable and commensurate with background and applicable required job experience.
Responsibilities
Design, develop, test, deploy, and maintain software applications supporting Naval Aviation Support Equipment programs.
Support development and sustainment of software associated with ATE, CASS/eCASS platforms, Portable Electronic Maintenance Aids (PEMA), and aviation test systems.
Develop software for test equipment, embedded systems, system control applications, networking interfaces, and diagnostic tools.
Support Operational Test Program Set (OTPS) development, performance testing, fault insertion testing, and acceptance testing activities.
Requirements
Master's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, Mathematics, or a related technical discipline from an accredited college or university.
Bachelor's degree plus four (4) additional years of relevant experience may be substituted in accordance with contract requirements.
Nice to have: Naval Air Systems Command (NAVAIR) programs
Nice to have: CASS/eCASS Automatic Test Equipment environments
Entry-Level Application Engineer – Semiconductor Test
An entry-level engineering role focused on developing, debugging, and optimizing semiconductor test solutions using Automatic Test Equipment (ATE), software development in Java, and hardware-interface troubleshooting on V93000 and SmarTest 8 platforms. Requires up to 20% travel to customer sites.
Responsibilities
Develop and debug semiconductor test solutions on V93000 / SmarTest 8
Support test program bring-up, conversion, characterization, and optimization
Develop test software using Java and scripting languages
Troubleshoot device, test-program, and hardware-interface issues
Use bench instruments such as oscilloscopes, DMMs, and power supplies for debug and characterization
Brillient Corporation is seeking an experienced Software Engineer – DevOps & AI Development to support the development of ALICE, an AI-native decision intelligence platform serving federal, state, local, and commercial customers in environments aligned with Impact Level 5 (IL5) security requirements.
Compensation
Salary Range: $140,000-$160,000 annually
Responsibilities
Design, develop, test, and deploy software solutions across backend services, frontend applications, data models, and infrastructure.
Build and maintain scalable cloud-native applications and services using Python, TypeScript, Java, and related technologies.
Develop and maintain CI/CD pipelines, automated testing frameworks, and infrastructure deployment processes.
Leverage AI-assisted development tools, such as Claude Code or similar platforms, to accelerate software development while maintaining engineering quality.
Break down development tasks into clearly defined specifications, automated tests, and independently verifiable deliverables.
Design, build, and evolve the MDASH scanning engine, integrating AI agents and models to analyze codebases, detect vulnerabilities, and generate fixes.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Design, build, and evolve the MDASH scanning engine, including agent orchestration, multi-model routing, code understanding, vulnerability detection, reachability validation, and fix generation and verification.
Ensure the reliability, availability, and performance of critical Starbucks technology platforms, design and implement reliability and observability solutions, automate operations, lead incident response, and mentor other engineers.
Compensation
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.
Responsibilities
Design and build for system availability, performance, resilience, and operational readiness across critical platforms
Automate operations, build and improve observability, and remove root causes of recurring issues and toil
Apply and shape SRE standards for incident management, SLOs, capacity planning, and recovery
Mentor other engineers on SRE best practices
Lead incident response and run blameless post-incident reviews
Requirements
Bachelor’s degree in Computer Science or related field
Extend the engine's coverage across vulnerability classes, programming languages, frameworks, build systems, and codebase sizes, from single services to large monorepos.
Integrate program analysis techniques into agent workflows to make detections more precise and grounded.
Improve the engine's precision, recall, consistency, and fix quality, working from evaluation results, research findings, and production feedback.
Optimize scan performance, scalability, cost, and latency so MDASH works well on enterprise-scale codebases and in CI/CD workflows.
Requirements
Bachelor's Degree in Computer Science or related technical field
Master's Degree in Computer Science or related technical field
Nice to have: Master's Degree in Computer Science or related technical field
Nice to have: 8+ years technical engineering experience
Nice to have: 12+ years technical engineering experience
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Entry-Level Application Engineer – Semiconductor TestNewAdvantest · San Jose, US