Top Software Engineer Jobs

Develop and maintain secure Android applications using Kotlin, Jetpack Compose, modern architecture patterns, REST APIs, and automated testing. Implement biometric authentication, secure storage, OAuth/OIDC flows, lifecycle-aware state management, and adaptive accessible UIs. Contribute to CI/CD pipelines, Gradle build configuration, Git-based code reviews, Play Store releases, staged rollouts, and app signing. The role requires five or more years of professional Android development and is hybrid or onsite five days weekly in Dallas or New York.

Build and operate Nash’s go-to-market engineering system, including AI agents, CRM infrastructure, account data layers, paid and ABM automation, integrations, deliverability, observability, and production controls. The role owns Salesforce and connected systems, develops in Python or TypeScript, applies LLMs and MCP-style integrations, and measures success through pipeline, revenue, agent reliability, and data quality.

Build and maintain cloud-native ETL pipelines, data analysis applications, and scalable microservices for investment analytics. Collaborate with product owners, architects, and teams to design solutions, automate processes, support portfolio management, and provide on-call support within an Agile environment using AWS and Python-based tooling.

Develop scalable, high-performance full-stack applications and product features while collaborating with Product, Engineering, GTM, and Customer Success teams. The role emphasizes test-driven development, reliable CI/CD, distributed systems design, SQL and NoSQL databases, cloud platforms, technical communication, and continuous improvement. This is a full-time hybrid position requiring 1–2 days per week in the office.

Develop and validate embedded flight software for aircraft Health Usage Monitoring Systems and actuation systems. Build deterministic, safety-critical software, support AI-assisted onboard features, debug with laboratory and simulation tools, collaborate with systems and hardware engineers, ensure DO-178 and secure-coding compliance, and participate in flight testing and hardware-in-the-loop validation.

Leads development and maintenance of production React Native mobile applications for iOS and Android. Designs scalable features, writes tested JavaScript and TypeScript, reviews code, resolves complex performance issues, mentors engineers, and collaborates with product, design, and backend teams. Evaluates emerging mobile technologies and contributes to platform improvements, including performance optimization, CI/CD, API integrations, and innovative workflows.

Develop and support software applications, APIs, services, and database components using Java, .NET, Python, AWS, and related technologies. Collaborate with cross-functional teams, write automated tests, participate in code reviews, troubleshoot issues, document technical decisions, and contribute to CI/CD and agile development practices. The role also involves evaluating AI-assisted development tools and helping explore AI-enabled features.

Designs and delivers .NET application features, REST APIs, integrations, and modernization refactoring for Azure-hosted platforms. Responsibilities include EF Core and SQL optimization, code reviews, CI/CD improvements, resiliency support, secure coding, QA collaboration, technical backlog development, and mentoring engineers. The role modernizes legacy monolithic systems into scalable, observable, service-oriented solutions while contributing to architecture and technical product ownership.

Develops and supports Azure integration solutions using Logic Apps, Azure Functions, API Management, Event Grid, and Service Bus. Writes C#/.NET code, builds REST and SOAP integrations, manages Azure SQL and storage, and defines infrastructure with Terraform. Implements CI/CD, monitoring, diagnostics, retries, idempotency, and secure access controls. Collaborates with stakeholders on technical designs, documents solutions, and troubleshoots production systems.

Develop and improve large-scale simulation and resimulation cloud frameworks for autonomous vehicle testing. Write efficient, tested Python applications, integrate AWS/GCP services, benchmark system performance, build dashboards, manage vehicle-log indexing and dataset coverage, and support extensible metrics workflows. Collaborate with autonomy and testing teams to improve usability, documentation, scalability, and developer self-service across cloud and on-premise environments.