Top Software Engineer Jobs

Own and evolve internally developed business applications by documenting architectures, maintaining and enhancing production systems, reviewing AI-generated code, addressing technical debt, developing APIs and integrations, and establishing secure development, testing, CI/CD, deployment, monitoring, and support practices. Troubleshoot issues across application, infrastructure, integration, and data layers while partnering with IT, security, infrastructure, DevOps, and business stakeholders.

Build and support a modern enterprise data platform for investment and financial decision-making. Responsibilities include developing data ingestion, transformation, orchestration, APIs, services, web applications, automation, and event-driven solutions. The role involves integrating internal and vendor data sources, ensuring data quality and governance, applying software engineering and CI/CD practices, supporting applications, and collaborating with technology, investment, and business stakeholders.

Build and operate highly available, distributed cloud and datacenter services using SRE practices. Develop observability and telemetry platforms, automation, monitoring, dashboards, alerts, and reliability tooling. Optimize system performance, conduct root cause analysis and postmortems, troubleshoot infrastructure issues, and implement security and compliance measures. Collaborate with engineering teams and vendors to improve service scalability, reliability, and operational efficiency.

Design and develop scalable React applications, composable user interfaces, dashboards, forms, visualizations, GraphQL and REST APIs, and backend services. Integrate enterprise data platforms, AI agents, and event-driven systems while implementing security, permissions, testing, observability, performance optimization, and CI/CD. Collaborate with product, design, data, AI, architecture, and QA teams; troubleshoot production issues and establish engineering standards and documentation.

Software Development Intern will analyze, design, implement, test, and maintain Network Analytics software and internal tools. Responsibilities include gathering requirements, developing technical specifications and designs, implementing software components, writing unit tests and automated test scripts, supporting QA testing, documenting solutions, and resolving software defects. The role requires collaboration with development managers, product management, software architects, and QA while pursuing a bachelor’s degree in computer science, computer engineering, or a related field.

Design, build, and support scalable cloud-native APIs and services in C#/.NET on Azure. Modernize desktop apps into distributed services, implement CI/CD, automated testing, observability, and mentor engineering team members while participating in Agile development and architecture reviews.

Develop, integrate, test, deploy, and maintain mission-focused software applications across intelligence community networks and cloud environments. Responsibilities include coding, REST API development, software integration, GUI enhancements, testing, issue tracking, application reliability, reusable library architecture, and Agile lifecycle support. The role also supports quality standards, deployment procedures, and software availability metrics.

Build and lead enterprise platform infrastructure for multi-tenancy, identity, authorization, tenant isolation, metering, billing, audit logging, compliance, SDKs, and AI-native APIs. Architect scalable cloud-native systems for scientific data and workflows while coding hands-on in Python and influencing platform, infrastructure, security, AI/ML, and scientific application teams.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.