Top Software Engineer Jobs in Tampa, FL

Senior Software Engineer responsible for shaping and delivering a new fundraising product from discovery through production. The role involves full-stack development, architecture, prototyping, customer collaboration, production troubleshooting, reliability improvements, and mentoring. The engineer will work autonomously in an early-stage business unit, use customer feedback and data to guide decisions, and contribute across interfaces, backend services, integrations, infrastructure, and AI-enabled workflows.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design, develop, and implement scalable software solutions and modern applications for consumer banking. Collaborate in an Agile environment, contribute to architectural and design decisions, build distributed service-based components, and incorporate scalability, manageability, and maintainability. The engineer will work across multiple initiatives, collaborate with teammates, mentor engineers, and help deliver consumer-facing products.

Develop and maintain scalable Python/Django backend features for Cyware’s Cyber Fusion platform across commercial and AWS GovCloud environments. Design microservices, REST APIs, AI and RAG integrations, multi-tenant architectures, and secure identity systems. Ensure FedRAMP/GovRAMP compliance through secure coding, audit logging, RBAC, encryption, testing, and continuous monitoring. Collaborate with DevOps, GRC, Security, and engineering teams on CI/CD, code reviews, production support, and platform improvements.

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.

The Senior Software Engineer designs and develops software applications, optimizes APIs and databases, collaborates with teams, and ensures code quality through various testing practices.

Designs and builds TypeScript backend services for real-time and asynchronous risk decisioning. Develops event-driven workflows, queues, pub/sub systems, cloud task infrastructure, and state machines. Collaborates with product, operations, and infrastructure teams; delivers projects end to end, participates in code reviews, provides technical leadership, and mentors engineers.

Design, develop, test, deploy, and support distributed software applications integrating Gopuff with third-party systems. Build and maintain REST APIs, monitoring, and data-intensive services while leading cross-functional projects. Scope and delegate work, mentor engineers, promote development and testing practices, and provide technical leadership for an empowered engineering team.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Develop, test, and ship features for patient-facing applications, booking systems, clinical operations tools, and internal platforms. Collaborate with senior engineers on implementation, code reviews, debugging, troubleshooting, and automation for scheduling and patient engagement workflows. Build foundational experience with mobile applications, healthcare data systems, APIs, databases, version control, and production software while contributing to a collaborative engineering team.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Lead end-to-end design, development, and delivery of full‑stack features; drive architecture and code reviews; coordinate engineering work, write design docs and tests, and participate in Agile ceremonies. Must have blockchain/crypto experience.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Leads architecture and development of scalable Node.js SaaS applications and data products. Responsibilities include designing systems, translating stakeholder needs into technical backlogs, writing user stories, coordinating architecture decisions, supporting product planning, improving business processes, and mentoring engineers. The role also incorporates AI-assisted development, code review agents, LLM APIs, agentic workflows, and generative AI tools.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design, build, and own scalable multi-tenant SaaS applications across frontend, backend, and data layers. Improve system architecture, performance, reliability, and testing practices. Integrate AI-assisted tools, mentor engineers, conduct code reviews, and collaborate with Product and Design to deliver intuitive, production-grade software.

Lead integration-domain architecture and delivery for an AI-driven cybersecurity platform. Design and operate production microservices integrating REST, GraphQL, streaming, MCP, and LLM-based services. Make system architecture and API decisions, mentor engineers, conduct design and code reviews, improve engineering rigor, and champion AI-assisted development, testing, deployment, monitoring, and incident response.

Leads the architecture and implementation of software-defined infrastructure using Infrastructure as Code, automation, Python, Ansible, Terraform, containers, and Kubernetes. Develops infrastructure tooling, migrates legacy environments, manages cloud and virtualized platforms, integrates CI/CD and observability, and establishes automation standards. Collaborates across engineering, infrastructure, and security teams, supports mission-critical systems, participates in Agile practices, and mentors junior engineers. The role is remote with proximity to a Northrop Grumman site preferred.

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

Build and own full-stack features for a global peer-to-peer learning platform. Responsibilities include defining problems with users and stakeholders, developing prototypes and experiments, writing maintainable code, coordinating contributions, deploying products, and improving existing systems. The engineer will also participate in code reviews, pair programming, product ideation, and technical decisions balancing speed, quality, safety, and user experience.

Design, build, operate, and debug scalable Java platform services running on AWS. Develop authentication, data-store connectivity, and access-control systems for enterprise customers. Define non-functional requirements and SLOs, resolve production issues, collaborate on large-scale features, improve engineering processes, and promote platform and security best practices through mentorship and documentation.