Staff Engineer- Java AI

We are seeking a highly experienced Ai Augmented Staff Software Engineer- Eng to join our dynamic team. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. You will drive technical strategy, lead large-scale projects, and mentor engineers across the organization. As a Staff Software Engineer- Eng, you will be responsible for the design, development, testing, deployment, and maintenance of highly complex software systems.

Responsibilities:

• Software Development: Write clean, maintainable, and efficient code for various software applications and systems.
• Technical Strategy: Drive the technical strategy and vision for major projects and initiatives, ensuring alignment with business goals and industry best practices. Communicate complex concepts, anticipate potential objections, and influence others to adopt a point of view.
• Leadership: Lead cross-functional teams to design, develop, and deliver high-impact software projects on time and within budget. Coordinate activities and tasks of other team members, working independently and needing guidance only in the most complex situations.
• Architectural Excellence: Architect, design, and develop complex software systems and applications, ensuring high standards of performance, scalability, and reliability. Collaborate with architects on mid-level and high-level design.
• Complexity: Solve complex issues with innovative solutions, setting precedents as needed. Navigate information, alternatives, and relationships to achieve results. Communicate complex concepts, anticipate objections, and influence adoption of viewpoints.
• Impact: Impact the achievement of area/group objectives. Develop team policies, procedures, and techniques. Drive prioritization of technical debt, articulating the expected impact and outcomes.
• Service Health and Quality: Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Conduct thorough root cause analysis and implement measures to prevent future recurrences.
• Engineering Excellence Practices: Advocate for and implement best quality practices, hold a high bar for engineering excellence, and guide the team in maintaining service quality through the testing pyramid.
• DevOps Model: Oversee CI/CD pipelines, ensuring efficient build, test, and deployment phases. Take ownership from working with product management on requirements to designing, developing, testing, deploying, and maintaining software in production.
• Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., JUnit, Selenium) and design patterns leveraging the test automation pyramid as the guide.
• Code Review: Conduct comprehensive code reviews, providing constructive feedback and ensuring adherence to best practices.
• Mentorship: Provide technical mentorship and guidance, fostering a culture of learning and continuous improvement. Mentor junior engineers on taking ownership of the full lifecycle of services and features.
• Documentation: Develop and maintain comprehensive technical documentation for software applications and systems.
• Innovation: Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity enhancement within the team (e.g., CoPilot).

Proficiency in Agentic AI or Gen-AI based application development process and hands-on experience of utilizing the AI-tools like Claude-code and Copilot would be preferred.

Minimum Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, or a related technical field.
• 7+ years of professional software development experience.
• Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript.
• Extensive experience with software architecture and design patterns, including the ability to design and implement scalable, reliable systems in a DevOps model.
• Proven track record of leading and delivering large-scale, complex software projects.
• Proficiency with cloud technologies like Azure, AWS, GCP, and version control systems like GitHub.
• Strong problem-solving skills and attention to detail, with a commitment to delivering high-quality software solutions.
• Proficiency in building telemetry or observability as part of the development process.
• Strong leadership, communication, and interpersonal skills, with the ability to influence and drive technical decisions across the organization.
• Strong leadership experience in leveraging the AI-tools and providing mentorship and guidance to team.

Preferred Qualifications:

• Master’s degree or PhD in Computer Science or a related technical field.
• Familiarity with developing accessible technologies.
• Dedicated to diversity and inclusion initiatives.
• Demonstrated expertise in specialized disciplines and related fields. Recognized as an expert in their technical area.
• Understanding of internal and external business challenges and regulatory factors. Apply best practices to improve products, processes, or services