Top Software Engineer Jobs in Orlando, FL

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Build and ship maintainable software using Python, React, TypeScript, SQL, and AI-assisted workflows. Design scalable, secure, performant solutions; work with complex data models; and improve engineering processes. Mentor junior engineers, lead code reviews, collaborate with Product and Design, influence technical strategy, and modernize production systems while maintaining reliability and customer experience.

Own the architecture and technical direction of NodeZero’s database platform. Design scalable PostgreSQL systems, multi-tenant data models, graph-based asset models, partitioning, replication, and zero-downtime schema migrations. Establish database standards, governance, and performance practices while writing production code, authoring design documents, mentoring engineers, and influencing teams across the data pipeline.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Develop and maintain software using C#, .NET, web technologies, SQL Server, and AWS. Participate in the full SDLC and Agile Scrum processes, including design, development, unit testing, defect resolution, backlog refinement, and collaboration with product and QA teams. Build solutions using Microsoft-stack technologies, optimize databases and stored procedures, and support cloud-based application delivery.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Owns end-to-end development of customer platform features, including Go backend systems, REST/gRPC APIs, entitlements, policies, and onboarding services. Collaborates across engineering teams, extends AI-powered customer experiences, provides technical leadership and mentorship, and drives product-focused delivery in ambiguous environments.

Leads software development for healthcare solutions, implementing customer-focused applications and collaborating with R&D teams. Builds enterprise Java/Kotlin applications, full-stack web applications, component libraries, REST API integrations, and cloud-hosted systems. The role requires experience with Spring, PostgreSQL, React or Angular, AWS, healthcare or EMR integration, Agile development, test automation, and unit testing. Occasional travel may be required, including company-paid onboarding 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.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Develop and deploy onboard swarm autonomy: perception, planning, control, multi-target tracking, inter-robot/C2 protocols, on-vehicle software integration, realistic UxS simulation, train and test ML-based target recognition, and electronics prototyping. Travel for test events up to 25%.

Develop and maintain automated integration test harnesses for OpenStack, cloud infrastructure, and multi-service API applications. Automate smoke, CLI/TUI, GUI, and comprehensive parallel tests across microservice versions and production-like environments. Collaborate with software engineers, SREs, and subject matter experts to define test priorities, integrate testing into CI/CD pipelines, identify coverage gaps, and document test cases. The role requires strong software testing experience, automation development skills, and familiarity with Kubernetes, Kustomize, virtualization, and storage systems.

Design and implement scalable backend services for MoneyGram’s core transaction and API platforms. Responsibilities include architecture, microservices, APIs, event-driven systems, integrations, cloud development, CI/CD automation, testing, deployment, operational excellence, and engineering standards. The role collaborates with product, engineering, and QA teams, mentors junior engineers, leads complex technical solutions, and influences technical direction in an agile environment.

Designs and executes manual and automated testing across applications, APIs, databases, data platforms, and integrated systems. Builds QA automation frameworks, validates data quality, manages test environments, supports CI/CD test integration, tracks defects, and performs root cause analysis. Collaborates with Agile engineering teams on sprint planning, releases, and process improvements while testing healthcare technology platforms and regulated workflows.

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.

Build infrastructure for AI-driven software development, including cloud coding environments, autonomous coding agents, SRE integrations, and reusable agent platforms. Own developer environments, agent integrations, security guardrails, observability, evaluation, and feedback loops. The role requires deep infrastructure experience across AWS, containers, infrastructure as code, CI/CD, and TypeScript/Node.js, plus hands-on use and orchestration of AI coding agents.

Leads software design, development, integration, testing, deployment, and sustainment for simulation systems. Provides technical leadership, team coordination, mentoring, architecture guidance, code and design reviews, release planning, troubleshooting, and risk tracking. Coordinates with systems engineering, cybersecurity, testing, configuration management, and program management teams while supporting agile development and customer technical reviews.

Designs, develops, integrates, tests, deploys, and sustains secure software applications and services for complex mission-focused programs. Translates requirements into software designs, develops maintainable code, supports distributed-system integration and DevSecOps processes, performs testing and troubleshooting, documents solutions, and provides technical guidance to junior engineers. Collaborates with architects, cybersecurity, infrastructure, testing, program management, and customer teams throughout the software lifecycle.

Own and improve a full-stack web platform by delivering features from database schema and API design through user interface components. Collaborate with non-technical stakeholders and customer-facing teams to define requirements, gather feedback, and solve user problems. Design and optimize backend services, APIs, and PostgreSQL data models, use AI agents to accelerate development, and build agent-based platform capabilities. The role involves end-to-end feature ownership and incremental releases to live software.

Designs, builds, and scales backend services and integrations for payments, billing, identity, and partner connectivity. Sets technical vision and architecture for distributed systems, leads cross-team delivery, manages production rollouts, builds fault-tolerant services and data pipelines, and mentors engineers. The role partners with product, design, and engineering teams to deliver frequent, reliable improvements for Flex’s rent payment platform.