Top Remote Software Engineer Jobs in Pensacola, FL

Design and own API contracts across multiple products, build search and discovery capabilities for large content libraries, and maintain continuous delivery pipelines for code, infrastructure, configuration, and data. The engineer will shape engineering standards around security and governance, make technology decisions, collaborate with distributed teams, and mentor other engineers.

Work on backend and frontend features for a waste-management SaaS: build Java/Spring Boot services, React UI, work with PostgreSQL/PostGIS, debug production, write tests, collaborate with Customer Success, participate in on-call rotation, and adopt AI-assisted development tools.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

Build and maintain intuitive frontend web applications for data upload, search, visualization, and interactive 2D/3D geospatial tools. Collaborate with scientists to design complex visualizations, modernize the frontend stack, mentor junior developers, and implement automated UI testing and deployment pipelines.

As a Software Engineer in AI Infrastructure, you will design and develop core platform components, build APIs and services, enhance performance, and automate tooling while collaborating across teams and improving system reliability.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Own and ship full-stack product features in weekly cycles: scope solutions, build backend services and UIs, use AI tooling for development, ensure code quality and production readiness, measure impact, and communicate with stakeholders.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Develop and operate SpiceDB and AuthZed’s open-source authorization ecosystem. Design, implement, test, deploy, and optimize distributed systems involving databases, cloud infrastructure, query planning, scalability, reliability, and performance. Participate in production operations and on-call rotations, troubleshoot complex issues, collaborate with users and contributors, mentor engineers, and contribute to technical documentation and industry discussions.

Lead technical initiatives and architectural decisions for stream-aligned software teams. Build, evolve, and support scalable distributed web applications while applying software development, testing, security, data modeling, microservices, and API best practices. Collaborate with product managers and stakeholders to translate business goals into technical requirements, contribute to roadmaps and documentation, evaluate technologies, and mentor mid-level engineers in an agile environment.

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.

Design, develop, test, document, and support secure external data integrations (APIs, file-based interfaces, ETL) using .NET, Azure, Informatica, and Snowflake. Lead technical delivery, perform impact analysis, provide production support, mentor engineers, and ensure solutions meet security, performance, and governance requirements.

Leads the architecture, design, implementation, testing, and delivery of backend software for Slate’s digital customer experience. Owns code quality, system reliability, functional and integration testing, and technical decision-making. Collaborates with UX and product teams, leads code and design reviews, simplifies complex solutions, and mentors engineers while supporting career development.

Build core digital banking experiences for bank administrators and customers, including user flows, robust APIs, and third-party integrations. Design and implement scalable backend services using microservice architecture and domain-driven design. Write clean, documented, tested code with strong error handling, logging, and performance considerations. Contribute to system design, architectural decisions, code reviews, and technical guidance within an Agile Scrum environment.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.

Lead architecture and roadmap for Azure PostgreSQL systems; design and review scalable, maintainable database engine features (query processing, storage, transaction logging, recovery, versioning, IO, scale-out). Influence coding standards and run code reviews, write proof-of-concept or production code, contribute to open-source PostgreSQL/Linux, and participate in rotational on-call operations.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Design, develop, test, implement, maintain, and support custom web applications focused on authentication, authorization, and identity products. Build new capabilities, improve existing systems, automate product functionality, contribute to unit, functional, integration, and end-to-end testing, and support software platforms in lab and QA environments.

Senior Software Engineer responsible for designing enterprise .NET applications, developing ETL processes, managing relational databases and data warehouses, optimizing performance, and supporting data integration and reporting. The role includes mentoring engineers, conducting code reviews, collaborating with stakeholders, translating requirements into technical solutions, and contributing to agile planning and continuous improvement.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Design, build, and operate scalable APIs and event-driven backend services using TypeScript, Node.js, Python, Kafka, and PostgreSQL. Develop infrastructure as code and CI/CD pipelines, troubleshoot production systems, and participate in on-call support. Provide technical leadership through architecture reviews, API and event standards, code reviews, mentoring, and cross-team guidance. Help improve engineering quality, reliability, scalability, development tooling, and adoption of AI-assisted development practices.

Develop and maintain backend Java services for healthcare technology products. Responsibilities include implementing features, fixing bugs, designing application components, testing, troubleshooting deployments, optimizing performance, and contributing across the Agile software development lifecycle. The role requires collaboration with developers, product managers, and QA engineers, along with expertise in Java enterprise technologies, databases, application servers, CI/CD, DevOps, and Unix-based environments.

Build and ship responsive, consumer-facing web experiences using React, Next.js, TypeScript, and Tailwind CSS. Maintain Sanity CMS schemas, collaborate with marketing and product teams on experiments and conversion improvements, optimize Core Web Vitals, and contribute to frontend architecture and reusable components. Troubleshoot application issues and progressively expand into broader full-stack engineering responsibilities.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.