Senior Software Engineer

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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, resilience, 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/Google Cloud Platform) are a strong plus.