Top Software Engineer Jobs

Develop production-grade robotics perception software for warehouse robots using 3D LiDAR and multisensor data. Own localization, state estimation, obstacle mapping, point-cloud processing, sensor calibration, and integration of machine-learning outputs. Optimize real-time edge-compute pipelines and make system-level architectural decisions for dynamic physical environments.

Configure, develop, troubleshoot, and optimize Oracle EBS R12.13.x solutions supporting ODM/MRP, Inventory, Master Scheduling, integrations, and business workflows. Responsibilities include requirements analysis, fit-gap assessments, Oracle configuration, SQL/PLSQL development, query tuning, interfaces and APIs, custom extensions, technical documentation, testing, training, issue resolution, and service request management.

Lead the design, development, and optimization of enterprise software platforms for aerospace applications. Responsibilities include maintaining UI component libraries, operating private package registries, building application templates and scaffolding tools, developing an internal developer portal, creating shared SDKs and platform libraries, writing documentation, measuring developer productivity, and partnering with platform engineering and AI teams. The role requires strong frontend and backend development skills, cross-functional collaboration, and occasional travel in a hybrid environment.

Develops and troubleshoots software supporting the DLA JAMMEX program, with emphasis on APIs, BPMN-based process automation, and low-code/no-code platforms. Leads software projects, creates user manuals, and directs the work of other developers. The role requires experience with platforms such as Appian, Salesforce, or Nintex; Microsoft SQL Server and .NET; agile and hybrid development; relevant technical certification; and an IT-II clearance or current NACLC.

Participate in a 12-month software engineering graduate program with two rotations across big data, AI, SRE, DevOps, and security engineering. Write and review specifications, implement code, perform code reviews, fix bugs, apply test-driven development, gather requirements, resolve technical issues, and work across development environments. Gain exposure to AWS, Azure, data modeling, software methodologies, and multiple programming languages through mentorship and training.

Lead development of secure modeling and simulation software and platform services in cloud environments. Design DevSecOps pipelines with GitLab CI/CD, manage artifacts through Artifactory, and develop high-performance C++ applications across Linux and Windows, including RHEL. Support system integration, testing, deployment, compliance, and documentation while providing technical leadership and mentoring. Collaborate with stakeholders to deliver secure, mission-focused platform capabilities for Department of the Air Force and broader defense initiatives.

Build and scale Base360.ai’s short-term rental platform, including customer-facing applications, APIs, automation engines, AI-powered workflows, third-party integrations, and cloud infrastructure. Develop systems for reservations, pricing, payments, guest communication, property operations, reporting, and financial workflows. Own projects end to end, make architectural decisions, ensure reliability, and deliver scalable products in a remote-first startup environment.

Designs, develops, tests, deploys, modernizes, and supports Java enterprise applications and integrations. Troubleshoots applications, APIs, databases, and data pipelines; improves reliability through automation, testing, monitoring, CI/CD, and secure coding. Translates business requirements into maintainable solutions, collaborates with stakeholders and vendors, participates in code reviews and design discussions, and mentors teammates. The hybrid role requires working from the Chicago office at least one day per week.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. Drive cloud and hybrid architecture, architecture reviews, observability, security, reliability, and operational excellence while mentoring engineers and influencing cross-functional teams.

Leads the design and delivery of edge computing solutions, including distributed architectures, Kubernetes deployments, Google Distributed Cloud workloads, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and developer enablement platforms. The role also guides architecture reviews, cloud and hybrid scalability, security, observability, reliability, and engineering best practices while mentoring engineers and influencing cross-functional teams.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Leads the design, development, testing, and deployment of scalable full-stack SaaS applications. Builds features using ReactJS, TypeScript, NodeJS, PostgreSQL, and S3; resolves complex architectural issues; advances AI-native development; and drives cloud, DevOps, observability, and event-driven architecture practices. Collaborates cross-functionally, mentors engineers, represents technical strategy, and delivers customer-focused solutions for government agencies.

Lead hands-on development and architecture for edge computing solutions, including Kubernetes deployments across distributed cloud environments, Ansible automation, Python services, IoT connectivity, telemetry pipelines, and platform enablement. Own architecture patterns for disconnected environments, participate in architecture reviews, improve security and observability, establish engineering best practices, mentor engineers, and collaborate with product, infrastructure, and platform teams.

Lead the design and delivery of edge computing solutions using Python, Kubernetes, Ansible, distributed cloud platforms, and IoT technologies. Define architecture patterns for disconnected environments, build scalable cloud and hybrid deployments, automate distributed edge operations, and improve platform engineering through reusable workflows and deployment guardrails. Participate in architecture reviews, establish engineering best practices, mentor engineers, and ensure solutions are secure, observable, resilient, and production-ready.

Develop production software using AI-assisted and Spec-Driven Development practices. Implement features from approved specifications, evaluate AI-generated code, handle integrations and edge cases, maintain automated testing, and contribute to architecture. Ensure systems are secure, auditable, performant, observable, and compliant with GxP expectations. Work across backend and frontend technologies within small, collaborative squads.

Design and build JTX, a high-performance Solana trading application. Develop low-latency, reliable systems for order routing, execution, real-time market data, and position management. Own critical infrastructure, implement security across transaction signing and user data, make architectural decisions, and collaborate with product and infrastructure teams in a fast-moving 0-to-1 environment.

Build and maintain scalable full-stack distributed systems using Golang, PostgreSQL, and gRPC. Responsibilities include architecture, UI development, data modeling, service instrumentation, automated data ingestion, deployment automation, production support, reliability and security improvements, stakeholder collaboration, and mentoring engineers.

Leads end-to-end engineering for complex, distributed systems and shared platform services. Designs scalable cloud-native architectures, event-driven applications, security models, deployment strategies, and resilient data flows. Develops and supports enterprise applications, establishes testing and quality practices, manages technical documentation and project plans, advises leadership, resolves cross-functional technology issues, and mentors junior engineers. Requires strong expertise across Java, Spring Boot, Node.js, React, Kafka, containers, CI/CD, cloud deployment, automated testing, and observability.

Architects and develops large-scale customer-facing web applications, reusable front-end systems, distributed services, and Oracle-based financial data warehouse platforms. Leads application architecture, CI/CD, testing, deployment, observability, documentation, risk management, and project planning. Advises management on technical strategy, resolves business and technology issues, ensures delivery quality and timelines, and mentors junior engineers.

Develops complex financial services applications using Java, Spring Boot, REST APIs, AWS, microservices, Kubernetes, Kafka, SNS, and SQS. Designs resilient distributed systems, automated unit and integration tests, CI/CD deployments, databases, and production support processes. Performs technical analysis, documentation, testing, user acceptance support, incident diagnosis, and application implementation across multiple projects.

Architects and develops secure, scalable web and distributed applications using Java, Angular, JavaScript, REST, Kafka, and cloud-native technologies. Responsibilities include application architecture, testing, CI/CD, release management, production support, observability, performance optimization, project planning, risk management, technical strategy, documentation, and mentoring. The role partners with business units and advises management on complex technology initiatives.

Designs and develops secure, full-stack cloud applications and microservices across on-premises and cloud environments. Responsibilities include application architecture, API development, real-time synchronization, containerization, security controls, testing, documentation, project planning, technical analysis, and production reliability. The role also supports AWS multi-region platforms, database optimization, iOS application layers, cross-functional technology initiatives, risk management, and mentoring junior engineers.

Develops and architects enterprise RPA and digital labor solutions using Blue Prism, APIs, AI technologies, and business process automation. Integrates automation with databases, DevOps tools, mainframe platforms, cloud storage, and enterprise applications. Leads complex technical analysis, architecture, testing, documentation, risk management, and project delivery while advising leadership, improving automation standards, and mentoring junior engineers.

Lead technical direction and architecture across telehealth, EHR, patient and clinician systems. Be a hands-on principal engineer writing production code, set engineering standards, mentor and direct offshore teams, own reliability and security (HIPAA/compliance), drive AI adoption, hire and build the onshore engineering org, and partner with the CEO to translate business and clinical needs into technical plans.

Set technical direction for a high-traffic biller-workflow platform supporting claims, appointments, payments, posting, and billing operations. Lead full-stack architecture, multi-team platform rebuilds, frontend performance, API and PostgreSQL optimization, observability, AI workflow integrations, code reviews, technical standards, and mentorship. Partner with clinicians, billing operators, product, and design while maintaining reliable enterprise production systems.