Project Role : Custom Software Engineer

Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.

Must have skills : Java Full Stack Development

Good to have skills : Machine Learning (ML)

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

Are you an experienced software engineer looking to drive the technical direction of market leading (#1) software products.

Join us to help develop our Returns product suite leveraging AI.

The ideal candidate has full-stack expertise in development, design, testing, and operations, with experience in scalable Cloud Native SaaS solutions. Platform experience is a plus.

Roles and Responsibilities:

Technical Leadership: Adopt engineering best practices on architecture, and technology choices. Lead and mentor junior engineers, guide technical design and architecture discussions, and identify design pattern needs.

AI Execution: Execute on the mission of AI integration across our product suite, including Generative AI, NLP, and predictive analytics.

Development: Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (C#, Java, Go etc.)

Test: Create test scenarios and design, develop, and execute corresponding automated tests.

Cloud Infrastructure: Experience with major cloud providers like AWS, Azure or GCP. Understanding of Infrastructure as Code (e.g. Terraform, CloudFormation, Helm etc.)

Collaboration: Excel in global cross-functional teams, including product management and architecture.

Code Reviews: Utilize code reviews to ensure code quality, performance and maintainability, as well as mentoring opportunities.

Continuous Improvement: Champion a culture of continuous improvement by driving engineering excellence, conducting root cause analyses, and implementing feedback loops to enhance code quality, team productivity, and system reliability.

Educational Qualifications:

Education: Master s degree (preferred) or bachelor s degree in computer science, engineering, or a related field (or equivalent experience).

Experience: 8+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications.

Experience working on AI/ML initiatives or certifications in AI technologies is a strong plus.

Technical Skills and Professional attributes:

Experience in object-oriented/modern languages (C#, Java, Go etc.)

Understanding of software design patterns

Proficient in RESTful API, Open API design and development, and database technologies (RDBMS, NoSQL).

Proficiency with CI/CD pipelines, containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, etc.).

Hands-on experience with event driven architecture (e.g., Kafka, Pulsar, SNS/SQS).

Experience in designing and implementing scalable test automation strategies using modern frameworks and tools such as Playwright, Cypress, Selenium, TestNG etc., with integration into CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins) and cloud-based testing platforms.

Experience with front-end technologies (e.g. React, Angular) is a strong plus.

Experience designing and delivering AI solutions using modern software engineering practices and cloud technologies (e.g., Azure, AWS, GCP), with a strong focus on Generative AI and Large Language Models (LLMs).

Understanding of security best practices and frameworks. Knowledge of Snyk is a plus.

Demonstrated problem-solving skills for complex tech challenges.

Excellent communication, interpersonal, presentation, and facilitation skills across time zones.

Work with Purpose: Foster a We Can mindset where results outweigh effort everyone understands how their roles contribute to team outcomes.

Act with Urgency: Adopt an agile mentality with a focus on quick iterations and resilience.

Communicate with Clarity: Be clear, concise, and actionable. Embrace constructive feedback.

Drive to Decision: Make decisions swiftly with defined deadlines and accountability.

Additional Information:

You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.