Senior Engineer, Java

What you'll do

• Scope, design, and build scalable, resilient distributed systems using Java and modern backend technologies.
• Develop and maintain Agentic AI systems to automate business processes and enhance customer experiences.
• Integrate machine learning models into production Java applications using frameworks like TensorFlow and PyTorch.
• Implement data pipelines for ML model inference and training using Apache Kafka and Spark.
• Design, implement, and maintain PostgreSQL databases and reusable application components.
• Utilize Docker, Kubernetes, and Azure tools to manage the full software development lifecycle.
• Participate in design sessions and code reviews to ensure high engineering standards across the organization.
• Mentor junior engineers and contribute to knowledge sharing initiatives within the engineering team.

What we're looking for

• Bachelor's degree in Computer Science, Information Systems, or equivalent education or work experience.
• 4+ years of professional software development experience within Java frameworks with distributed systems.
• 3+ years of experience with system architecture, design patterns, and scalable backend development.
• 3+ years of experience with AWS, GCP, Azure, or another cloud service, preferably with AI/ML services.
• 2+ years of experience with big data technologies, real-time processing, or machine learning frameworks.
• 1+ years of experience with Apache Kafka, Spark, or similar distributed data processing technologies.
• Fluency and specialization with at least two modern languages such as Java, C++, Python or C# including object-oriented design.
• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn and understanding of machine learning model integration.
• Experience with PostgreSQL database design, implementation, and administration.
• Experience with Kubernetes, continuous delivery, and infrastructure as code.
• Experience with application monitoring tools and performance assessments.
• Experience with AI/ML model integration in production environments (preferred).
• Additional coursework or certification in AI/ML, data engineering, or distributed systems (preferred).
• Exposure to Agentic AI systems and autonomous decision-making frameworks is a plus.
• Experience with Flutter for cross-platform mobile development is an advantage.
• Knowledge of ReactJS and modern frontend frameworks for web application development is beneficial.