Top Entry Level Software Engineer Jobs in Tampa, FL

Design and implement backend APIs, microservices, and checkout platform components for Affirm’s financial products. Own system health, improve performance and reliability, collaborate across engineering teams, and contribute to technical standards, tooling, and processes. The role requires developing, testing, and shipping high-quality software at scale while making customer-centric technical decisions.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.

Lead the design and delivery of complex distributed systems and high-impact product initiatives for Toast’s Catering & Events platform. Own critical architecture, drive technical strategy, improve scalability and reliability, mentor engineers, establish engineering best practices, and collaborate with Product and Design. The role also involves applying AI tools to improve developer productivity and enable new capabilities.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Develops and maintains backend services, APIs, integrations, and claim-processing systems supporting VA travel claims. Responsibilities include coding, testing, documentation, code reviews, pair programming, CI/CD collaboration, zero-downtime deployments, production troubleshooting, and on-call support. The role works in two-week Agile sprints with designers, analysts, product owners, DevOps, and other engineers while adhering to VA accessibility, security, and data standards.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Build and ship frontend features for a financial marketplace using React and Next.js. Collaborate with product, design, and backend engineers; contribute to architecture, component design, code quality, tooling, and the shared component library. Own work from design through delivery, participate in pairing and code reviews, and use AI-assisted development tools thoughtfully.

Develop and maintain Tailscale’s open-source client and backend networking software. Design, test, document, and optimize networking components, distributed systems, and overlay routing features. Own services through observability, incident response, and customer escalations while collaborating with product managers and designers. Apply security-first practices and improve system efficiency, scalability, and stability in a fully remote, asynchronous startup environment.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Build automated test harnesses, AI evaluation logic, model-based graders, regression coverage, release gates, deployment pipelines, and CI/CD workflows. Maintain build artifact publishing and dependable staging environments while improving upgrade safety, incident diagnosis, and production readiness. Participate in business-hours escalations and independently own quality or release systems end to end.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Own and improve the foundational infrastructure powering a cloud software platform across multiple hosting providers and physical sites. Responsibilities include designing infrastructure capabilities, operating and scaling production clusters, diagnosing complex cloud issues, improving reliability and startup latency, leading low-downtime upgrades and migrations, and participating in on-call support. The role requires strong container orchestration expertise, Go development skills, large-scale infrastructure experience, and a willingness to be on call.

Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

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.

Build and ship end-to-end features for Augment’s iOS app, collaborate closely with product, design, backend, and fellow iOS engineers, and contribute to architecture, code quality, tooling, and long-term product health. The role emphasizes Swift and SwiftUI development, ownership, thoughtful collaboration, feedback, and effective use of AI-assisted development tools.

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Build, test, deploy, and maintain automated data integrations, APIs, and cloud-based pipelines. Develop scripts and services with JavaScript, TypeScript, Node.js, or Python; use Docker, GitHub Actions, infrastructure as code, and observability tools. Troubleshoot integration and deployment issues, secure partner data, document systems, and collaborate through code reviews and standups. This learning-focused role is designed for recent graduates developing platform engineering experience.

Develop and improve SingleStore database engine software, including query execution, optimization, storage, indexing, transactions, and distributed-system components. Write production code, tests, documentation, and technical designs while investigating performance, scalability, and correctness issues. Collaborate with experienced engineers, product managers, and cross-functional teams through regular release cycles.

Develop and operate production-quality cloud software for managing customer workspaces and databases. Responsibilities include building backend services, APIs, automation, provisioning, scaling, upgrades, backups, recovery, observability, and reliability improvements. The role involves writing code, tests, documentation, and technical designs; investigating performance and scalability issues; and collaborating with engineering, product, and cross-functional teams.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Build and maintain enterprise web applications, APIs, and containerized microservices using Python and Django. Develop workflow engines, financial validation logic, relational database schemas, asynchronous integrations, role-based access controls, and CI/CD automation. Support complementary applications across multiple technology stacks while maintaining secure, auditable, and reliable systems.