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 : Microservices and Light Weight Architecture

Good to have skills : Cloud Automation DevOps, Java Full Stack Development

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : BTECH

Summary

Are you a Tech Lead looking to drive the technical direction of market leading (#1) software products. Join us to help develop our Cloud Platform. 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:

Development: Design, code (hands-on), and maintain (proactive monitoring, troubleshooting) software solutions using object-oriented or modern languages (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. A comfort level with Infrastructure as Code (e.g. Terraform, CloudFormation, Helm etc.)

Technical Leadership: Lead and mentor junior engineers, guide technical design and architecture discussions, and establish best practices. Identify design pattern needs.

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: Stay current with industry trends and emerging technology. Create a culture for team to learn from past mistakes and blameless Root Cause Analysis (RCA).

Educational Qualifications:

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

Experience: 10+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications and preferably 2-3 years mentoring and coaching engineers in a leadership role.

Technical skills:

REST API, OpenAPI and database technologies (RDBMS and/or NoSQL).

Experience with microservices architecture, Containerization (Docker, Kubernetes).

Experience with event driven architecture (e.g., Pulsar, SNS/SQS), CI/CD pipelines is a plus.

Develop test automation suites leveraging API test automation (request library/component parameterization) and UI (Cypress, Selenium or similar).

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

Understanding of security best practices and frameworks.

Lead technical initiatives like tech migration or system performance and security improvements with an Agile mindset. Demonstrated problem-solving skills for complex tech challenges.

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

Additional Information :

Own the Outcome: Commit to milestones and demonstrate unwavering support for team decisions. If you are unsure, ask

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.

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., BTECH