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Senior Backend Python Jobs in Florida (NOW HIRING)

Brooksource

AI Engineer

Miami, FL · On-site

$55 - $65/hr

Senior AI Engineer (Agentic AI) Miami, FL On-Site role. Compensation: $65 ABOUT THE ROLE Our client ... Expert-level Python development experience * Experience building production backend services and ...

Kavaliro

Senior Fullstack Engineer

Jacksonville, FL · On-site

Kavaliro is seeking a Senior Full Stack Developer for our local Jacksonville client. n this role ... on backend systems using C#/.NET Core, C++, and Python. * Build and manage integrations with ...

Staffingine LLC

FL · On-site

Job Title: Sr. Software engineer Job Location: Buena Vista Lake Buena Vista FL Job Type: Contract ... Python • Expertise in React • Experience with Django or similar Python web frameworks • ...

OneStream

Senior AI Engineer

Fort Lauderdale, FL · On-site

$99K - $137K/yr

... back-end technologies. * Design software subsystems and lead the project management and timely ... Use Python and SQL to build AI systems and functionality. * Troubleshoot and debug issues across ...

Odyssey

Senior Software Developer

Tampa, FL · On-site

$51.50 - $68/hr

... Java, C#, Python, or JavaScript/TypeScript • Experience designing and building scalable ... back-end frameworks (React, Angular, Vue, .NET, Spring, Django) • Ability to influence ...

Versant Media

Senior Full Stack Engineer

Orlando, FL

Strong backend experience with Node.js, serverless Lambda APIs, asynchronous patterns, REST API ... Working experience with Python 3.x, including the ability to review, debug, or support ETL scripts ...

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Senior Backend Python information

What are the key skills and qualifications needed to thrive as a Senior Backend Python Developer, and why are they important?

To thrive as a Senior Backend Python Developer, you need expertise in Python programming, strong knowledge of backend frameworks (such as Django or Flask), and experience with database management, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, containerization tools like Docker, cloud platforms (e.g., AWS), and possibly certifications in cloud or Python technologies are common requirements. Outstanding problem-solving skills, effective communication, and the ability to mentor junior developers help set top performers apart. These competencies ensure the development of robust, scalable, and maintainable backend systems that support business objectives.

What is the difference between Senior Backend Python vs Backend Developer?

AspectSenior Backend PythonBackend Developer
Required CredentialsBachelor's in CS or related, 5+ years experience, Python expertiseBachelor's in CS or related, 2-4 years experience, Python knowledge
Work EnvironmentTech companies, startups, enterprise systemsTech firms, startups, software agencies
Employer & Industry UsageUsed across industries requiring scalable backend solutionsCommon in web development and software services
Search & Comparison IntentUnderstanding senior roles, responsibilities, salaryEntry to mid-level backend roles, skill requirements

Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.

What are some common challenges Senior Backend Python developers face when working on large-scale systems?

Senior Backend Python developers working on large-scale systems often encounter challenges such as ensuring application scalability, maintaining code quality across distributed teams, and optimizing performance for high traffic. Balancing the integration of new features with legacy system constraints can also be demanding. Effective communication and collaboration with frontend teams, DevOps, and product managers are crucial for delivering reliable and maintainable backend solutions.

What does a Senior Backend Python Developer do?

A Senior Backend Python Developer designs, builds, and maintains the server-side logic of web applications using Python. They are responsible for creating robust APIs, optimizing databases, ensuring application security, and integrating third-party services. In addition, they often mentor junior developers, contribute to architectural decisions, and collaborate closely with frontend and DevOps teams. Their work ensures that applications are scalable, reliable, and efficient. Senior developers typically have several years of experience and deep knowledge of Python frameworks like Django or Flask.
What are popular job titles related to Senior Backend Python jobs in Florida? For Senior Backend Python jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Backend Python jobs in Florida look for? The top searched job categories for Senior Backend Python jobs in Florida are:
What cities in Florida are hiring for Senior Backend Python jobs? Cities in Florida with the most Senior Backend Python job openings:
Senior Backend Python jobs near you
Senior Software Engineer, AI Platform

Senior Software Engineer, AI Platform

Fortress Information Security

Orlando, FL • On-site, Remote

$140K - $223K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Senior Software Engineer - AI Platform
Location: Remote
Salary Range: $140,541- $223,212, per year, depending on experience and qualifications.
Employment Type: Full-time

What you can expect as a Senior Software Engineer - AI Platform at Fortress:
Fortress Information Security is seeking a Senior Software Engineer, AI Platform to help build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments.
The ideal candidate brings strong distributed systems and backend engineering experience combined with hands-on experience building production-grade AI infrastructure, orchestration systems, or retrieval platforms. This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress’s AI strategy.
This role is well-suited for engineers who enjoy solving complex systems problems involving long-running stateful workflows, multi-store retrieval architectures, event-driven systems, observability, and secure multi-tenant infrastructure. Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.


Responsibilities Include:
  • Design, build, and operate orchestration frameworks supporting long-running, stateful AI workflows and agent execution systems
  • Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms
  • Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products
  • Implement resilient event-driven and change-data-capture (CDC) pipelines with strong consistency, retry, and fault-tolerance guarantees
  • Develop typed APIs and integration contracts supporting AI workflows and platform interoperability
  • Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure
  • Support secure multi-tenant deployments across cloud, hybrid-cloud, and air-gapped environments
  • Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling
  • Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure
  • Collaborate cross-functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence
  • Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure
  • Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems
Minimum Qualifications:
  • 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems
  • Strong Python development experience including asynchronous systems, API design, and typed architectures
  • Experience designing and operating scalable distributed or service-oriented systems in production environments
  • Hands-on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production
  • Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance
  • Active daily use and fluency with AI-assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows.
  • Strong written and verbal communication skills with the ability to collaborate effectively across technical teams
  • Ability to operate independently in fast-moving, highly technical environments with evolving priorities
Preferred Qualifications:
  • Experience with orchestration and workflow frameworks such as LangGraph, Temporal, Celery, or similar technologies
  • Experience with vector databases, graph databases, search platforms, and modern retrieval architectures involving embeddings, hybrid search, reranking, or knowledge graph traversal
  • Experience with event-driven architectures, CDC pipelines, or streaming platforms such as Kafka, Pulsar, or pg-boss
  • Experience with observability and telemetry tooling such as OpenTelemetry, Prometheus, Grafana, or centralized logging platforms
  • Experience deploying and operating systems within regulated, high-security, hybrid-cloud, or air-gapped environments
  • Familiarity with secure software supply chain practices, signed artifact distribution, and multi-tenant platform isolation strategies
  • Contributions to internal developer platforms, reusable infrastructure tooling, or shared engineering frameworks
  • Experience mentoring engineers and contributing to engineering standards and architectural best practices
Education:
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field preferred. Equivalent combinations of professional experience, technical training, certifications, or demonstrated expertise will also be considered.

Who thrives in this Role:

This team moves fast, operates with high autonomy, and builds things that don't exist yet. Engineers who do well here are genuinely deep in AI infrastructure, treat AI-assisted development as a core skill they're actively improving, and prefer building over debating. They own their outcomes without being pushed and find constrained, regulated environments interesting rather than frustrating.

If you've been building in this space on your own time and want to work somewhere that takes it seriously, this role is for you.

This role is not for you if...
  • You're drawn to AI but haven't actually built anything in the space.
  • You treat AI development tools as a novelty rather than a daily practice.
  • You do your best work with clear roadmaps, stable requirements, and plenty of process.
  • You want to architect and delegate rather than write the code yourself.
  • You need direction to get moving.
Employee Benefits:
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
  • Access to thousands of Learning amp; Development courses that range from mental health and wellbeing, stress, and time management to an array of technical and business-related courses
Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
​Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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