Software Development Engineer

Project Role :

Software Development 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 :

BTECHSummary 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.