Software Engineering Lead - Python or Java with Rest APIs

We are seeking a talented Software Engineer passionate about technology and innovation to join our team. In this role, you will design and develop enterprise level applications. The ideal candidate has a solid track record of delivering high-quality software and is eager to explore or expand their expertise in Generative AI technologies.

Primary Responsibilities:

• Design, develop, and deploy Generative AI-driven solutions to support application reliability, monitoring, and automation
• Collaborate with cross-functional teams to drive innovative solutions
• Research and integrate Generative AI technologies into our engineering workflows
• Stay current on advancements in Generative AI, performance engineering, and software testing methodologies
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Undergraduate degree or equivalent work experience
• 3+ years of experience with Python, Java, or similar
• 3+ years of experience in full Software Development Life Cycle (Agile)
• 2+ years of Test-Driven Development (Pytest, PyUnit/Unittest, JUnit, Spock, etc.)
• 1+ years of experience with REST based APIs
• Experience developing CI/CD pipelines (GitHub Actions, Jenkins)
• Solid problem-solving and communication skills

Preferred Qualifications:

• Experience working with performance testing tools like Gatling, JMeter, or Locust
• Experience with Docker
• Experience with fronted technologies (JavaScript, TypeScript, React)
• Experience with Public Cloud (Azure, GCP, AWS)
• Experience with monitoring tools (Splunk, Grafana)
• Familiarity with Generative AI technologies/concepts, such as LLMs (e.g., GPT, Llama), Retrieval-Augmented Generation (RAG), prompt engineering, orchestration frameworks (LangChain, Semantic Kernel), or internal tools (MCP).