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Python Kubernetes Software Engineer Data Jobs in Boca Raton, FL

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

Partner with the Data Science team to architect intelligent routing logic that leverages Small ... of professional software engineering experience. * Expert Python/FastAPI Developer: Proven ...

Quanta Search

Python Developer

West Palm Beach, FL · Hybrid

$48.50 - $67/hr

Our client is an Asset Management firm seeking a strong software engineer to join their growing ... data to innovate the next level of analytics systems Develop performant Python packages that ...

Quanta Search

Python Developer

West Palm Beach, FL · On-site

$48.50 - $67/hr

Our client is an Asset Management firm seeking a strong software engineer to join their growing ... pipelines and libraries to retrieve data and perform computation • Creating front-end ...

Stem Xpert

Software Engineer

Sunrise, FL · On-site

... data sets Advanced Python programming experience * Graphical interface design and implementation Additional Information * If you are comfortable with the above & the Qualifications... * Share you ...

JDA

Sr Gen AI Engineer

Delray Beach, FL · On-site

$87K - $140K/yr

Software/Tools: Python, GitHub, Node.js, React.js, GitHub Actions, Codacy, GitHub Advance Security ... Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Snowflake What we are looking for: Required ...

Butler America

Software Engineer

Riviera Beach, FL · On-site

... data acquisition, programming techniques, and controls. Ensures software standards are met. Mandatory: Computer Science Degree with strong C/C++, Python (SCIPy,NumPy libraries) and MatLab. Desired:

Omni Inclusive

AI Software Engineer

Boca Raton, FL

Python experience should include AI / Client. Working knowledge of OpenAPI/Swagger specification ... data. Understanding the concepts of Prompt Engineering. You should understand how to use API keys ...

Charter Global, Inc.

Senior Software Engineer

Sunrise, FL · Hybrid

$116K - $154K/yr

Senior Software Engineer / Java & Python Location: Hybrid onsite 3 days a week in Sunrise, FL ... lifecycle (data preprocessing, feature engineering, evaluation). Cloud exposure and/or ...

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Principal Engineer Data & AI

US DEFAULT GROUP INC

Boca Raton, FL • On-site

Full-time

Posted 19 days ago

Job description

Principal Engineer – Data & AI

The Principal Engineer – Data & AI is a senior, hands‑on lead engineer responsible for defining and implementing enterprise‑scale AI, data, and automation architectures and solutions that drive digital transformation across the organization. This role reports to the Director of AI and Automation and supports the technical direction, architecture standards, and delivery of advanced automation, data platforms, and AI‑driven solutions. This is an engineering‑first role, focused on building and operating production‑grade systems—not a research‑only data science position. The role operates in a highly collaborative environment with AI engineers, automation engineers or data scientists, legal domain experts, and business leaders to deliver AI automation, Gen AI, and advanced analytics solutions at scale.

Key Responsibilities

Architecture & Platform Leadership

  • Drives and supports architecture decisions for AI, automation, and data platforms.
  • Define and maintain reference architectures, design standards, and reusable frameworks.
  • Design automation involving external applications or sites, APIs, and internal applications through scalable microservices.
  • Lead implementation of robust lakehouse/warehouse supporting analytics, automation, and AI workloads for agentic AI.
  • Establish patterns for batch and streaming pipelines, event‑driven architectures, and scalable data access.

Data Engineering & AI Enablement

  • Design and build robust data pipelines using technologies such as Azure Data Factory, Azure Data Lake, Snowflake, Databricks, SQL, Spark, Python, or other similar technologies.
  • Implement strong data quality, lineage, observability, governance, and auditability standards.
  • Deliver curated datasets, semantic models, and data products for analytics and downstream systems.
  • Lead development of Intelligent Document Processing (IDP), RAG pipelines, GenAI‑driven architectures, and NLP based querying.
  • Make the enterprise context and data available easy for business consumption and decisions.
  • Develop and identify meaningful insights through “big data”, assists in the creation of required ETL pipelines and data structures for Azure Data Lake, Databricks or snowflake, and Data Factory.

AI, Automation & GenAI

  • Design and deploy AI agents, GenAI models, IDP models, and workflow‑driven AI automation.
  • Implement and manage MLOps and LLMOps pipelines for training, deployment, monitoring, and governance.
  • Integrate AI/ML solutions into systems using APIs, microservices, queues, MCP, and containers.
  • Build secure, compliant RAG architectures with vector search and prompt/version management.

Engineering Execution & Governance

  • Lead the full lifecycle: discovery, architecture, development, testing, deployment, and support.
  • Ensure adherence to enterprise security, DevOps, compliance, and data governance standards.
  • Monitor and optimize performance, reliability, and cost of AI/automation platforms.
  • Collaborate with the department leader and technical lead to drive technical direction and architecture decisions aligning with standard tech stacks.

Required Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Analytics, or related field (Master’s degree is preferred).
  • 7+ years of software, data, AI or platform engineering experience.
  • 5+ years building data engineering, AI automation, or cloud‑native solutions.
  • Proven experience delivering production AI systems, including ML, MCP servers, GenAI, LLM, IDP, NLP, and RAG‑based architectures.
  • Strong hands‑on expertise in Python, SQL, React, C#, Java, and other frameworks.
  • Strong experience defining enterprise data structures, data migration across tools, metadata catalogs, and data governance standards, with hands‑on implementation of multi‑tier (raw, curated, consumption) data lake or warehouse architectures.
  • Deep experience with most of the Microsoft Azure Services (Data platforms, Docker, Functions, Kubernetes, Azure Containers, Function Apps, ASB, App Services, GitHub, and ML studio).
  • Strong stakeholder communication and technical leadership skills.


Preferred Skills

  • Azure Data Factory, ADLS Gen2, Synapse/Fabric, Azure Databricks, Snowflake
  • SQL, Python, Java, C#, React, Power Automate, Workato
  • Playwright, Azure ML, Azure OpenAI, Document Intelligence
  • Docker, Kubernetes, GitHub Actions, CI/CD, semantic models, vector databases
  • LangChain, Hugging Face, scikit-learn, TensorFlow, PyTorch, Keras, Hugging Face, OpenCV, NLP, MCP, NLTK, Airflow, Spark, Mistral, ML studio, shell scripting, UAMI, Yaml, and advanced libraries and other open-sources.
  • Event‑driven systems (Service Bus, Container Apps, AKS, ACS, KEDA, Event Grid, etc.)