Top Software Engineer Jobs in Orlando, FL

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.

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.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Build and own full-stack MarTech services, scalable APIs, event-driven systems, data pipelines, and customer-facing web experiences. Integrate advertising, analytics, messaging, and marketing platforms while supporting attribution, identity resolution, experimentation, acquisition, and retention. Collaborate cross-functionally with marketing, product, data, design, and engineering teams to launch measurable growth initiatives. Mentor engineers and establish technical best practices across high-scale marketing infrastructure.

Lead the design and implementation of a distributed compute control plane for managing virtual machines across Akamai’s cloud fleet. Own database partitioning and sharding, placement reconciliation, asynchronous operations, consistency guarantees, idempotency, fencing, and saga-style workflows. The role requires deep distributed systems, database, containerization, Kubernetes, and controller-pattern expertise, along with strong Python or Go development skills.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.