Senior Software Engineer

Job Title: Senior Software Engineer / Java & Python Location: Hybrid onsite 3 days a week in Sunrise, FL Duration: 7 months+ contract Number of Positions: 5 roles Description: Agile Delivery & Scrum Ceremony Participation Ability to actively contribute in scrum ceremonies (daily stand-ups, sprint planning, refinements, reviews, retrospectives), ensuring alignment on scope, priorities, dependencies, and delivery outcomes. Stakeholder Management & Executive Communication Strong capability to provide clear, concise, and regular updates to stakeholders (business + tech), translating technical progress into business impact, risks, and next steps. Release Management & Production Support Hands‑on experience managing production releases, supporting deployments, handling incidents, performing root cause analysis (RCA), and coordinating remediation while minimizing downtime and risk. Requirements Leadership, Estimation & Sizing Ability to lead requirements gathering discussions with business stakeholders and Product Owners, clarify ambiguity, break down work into deliverable components, and provide sizing/effort estimates. Architecture & Distributed Systems Problem Solving Strong practical skills in designing and troubleshooting distributed systems (microservices, event‑driven systems), including debugging complex issues across services, queues/streams, and APIs. Qualifications: 8 12+ Years of Professional Software Engineering Experience Demonstrated senior‑level experience delivering enterprise‑grade applications end‑to‑end (design, development, testing, deployment, and support) in complex environments. Advanced Java Expertise (Java 8+), Spring Boot & Microservices Proven hands‑on development in modern Java stacks, including Spring Boot, microservice patterns, dependency injection, resiliency, observability, and scalable service design. Hands‑on Python for Backend, Automation, and/or AI Tooling Practical Python experience used for building backend services, automation scripts, orchestration, or integrating AI tooling beyond basic scripting. Production Experience with Apache Kafka & Event‑Driven Systems Real‑world Kafka usage in production environments, including topic design, producer/consumer patterns, error handling, monitoring, and (ideally) exposure to Kafka Streams or Flink. AI/ML & LLM Integration Experience (Plus Cloud Exposure/Certs) Experience integrating AI/ML tools, LLM APIs, or ML platforms into applications, and familiarity with the ML lifecycle (data preprocessing, feature engineering, evaluation). Cloud exposure and/or certifications (AWS/Azure/GCP) are a strong plus. #J-18808-Ljbffr