Staff Software Engineer

Job Responsibilities

• Lead the design, development, and implementation of robust, scalable, and secure software solutions across various platforms and technologies.

• Collaborate with product owners, architects, and other engineering teams to define technical requirements, scope projects, and ensure alignment with business goals.

• Mentor junior and mid-level engineers, providing technical guidance, code reviews, and fostering a culture of continuous learning and improvement.

• Drive best practices in software development, including coding standards, testing methodologies, release processes, and AI-assisted development practices.

• Diagnose and resolve complex technical issues, ensuring the stability and performance of critical systems.

• Contribute to the evolution of the software architecture, identifying opportunities for improvement and innovation.

• Participate in all phases of the software development lifecycle, from conceptualization to deployment and maintenance.

• Evaluate and integrate new technologies, tools, frameworks, and AI-enabled capabilities to enhance development efficiency and product capabilities.

• Explore and leverage intelligent automation, prompt-driven development techniques, and AI-assisted engineering tools where appropriate.

• Effectively communicate technical concepts to both technical and non-technical stakeholders.

Job Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 8+ years of progressive experience in software development, with a proven track record of delivering successful projects.

• Expertise in at least one modern programming language such as Java, Python, C#, or Go.

• Strong experience building full-stack applications using Angular, React, Node.js, and RESTful APIs.

• Strong understanding of distributed systems, microservices architecture, and cloud platforms (AWS, GCP, Azure).

• Experience with relational and NoSQL databases (e.g., SQL Server, Snowflake, PostgreSQL, Oracle, MongoDB).

• Proficiency in designing and building RESTful APIs and event-driven architectures.

• Solid understanding of data structures, algorithms, and software design patterns.

• Experience with CI/CD pipelines, automated testing, and release management tools.

• Familiarity with Generative AI concepts, Large Language Models (LLMs), prompt engineering, and AI-assisted software development practices.

• Experience integrating AI-powered capabilities, intelligent automation solutions, or conversational applications into enterprise platforms is a plus.

• Excellent problem-solving, analytical, and communication skills.

• Ability to work independently and as part of a collaborative team in a fast-paced environment.

• Experience in the insurance or financial services industry is a plus.

• Experience with AI-assisted development tools and platforms such as GitHub Copilot, Microsoft Copilot, Copilot Studio, Azure AI Foundry, Google Vertex AI, GCP Agent Development Kit (ADK), or similar technologies is a plus.

• Familiarity with prompt engineering, intelligent automation, Responsible AI principles, and integrating AI capabilities into enterprise applications is a plus.