Top Remote Software Engineer Jobs in Pensacola, FL

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Design and build backend services and distributed systems for a customer-facing no-code product. Improve query performance across large data warehouses, develop analytics and experimentation capabilities, explore real-time computation and data syncing, and apply generative AI to user workflows. The role also involves writing product specifications, collaborating directly with users, making long-term architecture decisions, and ensuring services remain robust, maintainable, and scalable.

Build, deploy, and maintain production software that improves robotics operations. Develop internal tools, dashboards, automations, and integrations; learn and contribute to an Elixir-heavy system and Google Cloud applications. Partner with Operations and Engineering to discover workflow improvements, validate AI-assisted code, improve reliability, and support applications after launch.

Own the end-to-end development of a secure SMS Adapter connecting retail and grocery store systems, beginning with BRdata, to Ottimate’s AP platform. Responsibilities include sync architecture, retries, conflict handling, local credential security, monitoring, testing, packaging, updates, installation, and deployment on Windows machines. The engineer will work directly with pilot customers to troubleshoot network, permissions, and data-access issues while evolving data models and integrations for additional store systems.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Own and evolve cloud infrastructure, internal developer tooling, release automation, preview environments, and reliability practices. Build reusable libraries and SDKs, improve monitoring and tracing, manage SLOs and incident response, and solve scaling challenges across data and compute systems. The role requires strong AWS, Terraform or Pulumi, TypeScript and Node.js knowledge, startup infrastructure experience, and clear technical documentation.

Build scalable Golang microservices, APIs, and data-centric systems supporting eligibility, coverage, billing, client workflows, and healthcare operations. Automate manual processes, develop self-service tools, ensure data accuracy and traceability, and collaborate with data and AI teams on validation, automation, and anomaly detection. The role requires production backend experience, event-based architectures, cloud platforms, and strong stakeholder communication.

Build and maintain an internal application framework with authentication, hosting, CI/CD, observability, and alerting defaults. Develop custom tools such as Slack bots, web applications, and workflows for business teams. Evaluate build-versus-buy decisions, integrate SaaS products and APIs, and own projects from scoping through adoption. Partner with engineering and non-engineering stakeholders while applying AI-assisted development and automation.

Early-career Software Engineer developing and maintaining Windows desktop fluid-flow simulation applications. Responsibilities span user interfaces, application logic, data models, integrations, testing, debugging, build automation, CI/CD, and modernization. The role involves collaboration with engineering, QA, product, and domain experts while contributing clean, maintainable code and participating in reviews, bug triage, and build pipeline rotations.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Develop and support Salesforce Service Cloud and enterprise integrations using Apex, LWC, Flows, APIs, and platform events. Lead complex technical implementations, testing, deployments, production issue resolution, and SDLC activities in an Agile environment. Collaborate with cross-functional stakeholders, ensure Salesforce best practices and security, mentor junior developers, document standards, and improve operational efficiency through automation and AI-enabled capabilities.

Leads architecture, development, and deployment of scalable cloud-native backend platforms integrating AI, LLMs, agentic workflows, and Salesforce. Designs distributed services, APIs, data migration pipelines, and enterprise integrations while driving observability, resilience, security, and performance. Provides technical leadership, mentors engineers, influences architecture, and collaborates with product, business, and AI/ML teams to deliver highly available enterprise systems.

Leads the design, implementation, integration, and optimization of global enterprise Finance solutions. Responsibilities include ERP solution leadership, Finance process transformation, system integration, data migration, reconciliation, testing, quality governance, deployment readiness, and post-production stabilization. The role also identifies AI automation opportunities and develops governed AI-enabled solutions across ERP, data, API, and workflow platforms while advising Finance, Product, Architecture, and Engineering stakeholders.

Lead full-stack development for Huntress’s SOC platform, building analyst-facing investigation, triage, remediation, queueing, and customer reporting experiences. Shape architecture, data models, interfaces, security practices, reliability, observability, and testing while mentoring engineers and partnering with Product, UX, and SOC stakeholders. The role emphasizes Ruby on Rails, modern frontend development, cloud infrastructure, relational databases, and technical leadership across complex cybersecurity software products.

Design, develop, deploy, and operate cloud-scale Azure regional networking infrastructure spanning router hardware, operating systems, optical transceivers, and distributed orchestration systems. Lead architecture and cross-team technical initiatives, write maintainable code, improve reliability, observability, performance, and automation, apply AI-driven engineering practices, and mentor engineers while collaborating with hardware, supply chain, datacenter operations, research, vendors, and senior leaders.

Build and maintain a full-stack sewer inspection analysis platform using React, TypeScript, Node.js, PostgreSQL/PostGIS, AWS, computer vision, geospatial analysis, and Temporal.io. Responsibilities include developing interactive dashboards, scalable APIs, video-processing workflows, mapping and risk-assessment tools, microservices, cloud infrastructure, and automated testing and deployment pipelines.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Lead technical strategy and architecture for Nextdoor’s monetization platform, building scalable, reliable, secure systems for advertising and subscription products. Partner with Product, ML, Data Science, and Engineering teams to deliver complex initiatives. Improve engineering standards, observability, release safety, and developer productivity while remaining hands-on in implementation, debugging, launches, and production operations. Mentor senior engineers and develop technical leaders.

Leads technical vision and roadmap for Freenome’s cloud platform, designs and operates scalable Kubernetes-based systems, and drives cross-team initiatives. The role troubleshoots complex platform issues, improves reliability and cloud-cost efficiency, supports AI adoption, and builds secure infrastructure for AI and data workflows. It also mentors engineers, partners with scientific and technical teams, and remains hands-on with architecture, coding, design reviews, and operations.

Design, build, and operate MongoDB Atlas features and distributed backend systems, with a focus on encryption, compliance, customer-managed keys, and cloud security across AWS, Azure, and GCP. Lead complex technical projects and fleet-wide production rollouts, collaborate with product, design, customers, and support teams, mentor engineers, resolve production issues, and participate in on-call support.

Lead the technical direction of backend systems for a cybersecurity assessment platform. Design and build scalable services, APIs, data models, and event-driven workflows; make architecture and reliability decisions; write production code; improve observability and safe deployment practices; lead cross-team initiatives; mentor engineers; contribute to hiring; and translate customer and product goals into technical strategy.

Own backend payment, wallet, ledger, reconciliation, fraud, and risk services handling real-money transactions. Design double-entry accounting systems, integrate payment processors and KYC/AML vendors, ensure exact-once posting and auditability, and support finance reporting through Snowflake and dbt. Partner with Finance, Compliance, and Trust & Safety while participating in on-call coverage for high-volume sports events.