Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity.
Must have skills : Java Full Stack Development
Good to have skills : Machine Learning (ML)
Minimum 12 year(s) of experience is required
Educational Qualification : BTECH

Summary

This is a key leadership role within the product engineering organization, responsible for overseeing and guiding complex technical projects, driving innovation leveraging AI, and ensuring the successful delivery of high- quality software products. This role may involve a combination of hands-on technical work, strategic planning, and team leadership among other responsibilities. If you have the drive to lead and mentor engineering teams, the ability to set a technology vision for greenfield/brownfield SaaS products and excellent communication skills to work with cross-functional teams, including product management and other stakeholders, this position is for you.


Roles and Responsibilities:

Technical Leadership: Guide the engineering team on best practices, architecture, and technology choices.
Project Oversight: Ensure successful delivery of projects, from concept to production.
Mentorship: Mentor junior and mid-level engineers, fostering a culture of continuous learning.
People Leadership: Lead by example, motivate your team to address complex challenges manage performance and goals for direct reports.
Stakeholder Collaboration: Excel in global cross-functional teams, including product management and architecture.
AI Strategy & Execution: Define and execute the roadmap for AI integration across our product suite, including Generative AI, NLP, and predictive analytics.
Experience of coding leveraging AI, with an understanding of Agentic AI architecture.
Innovation and R&D: Drive innovation by staying current with emerging AI technologies, frameworks, and trends, and translating them into scalable product features.
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.
Cloud Infrastructure: Experience with major cloud providers like AWS, Azure or GCP. Strong knowledge of Infrastructure as Code tools (e.g. Terraform, CloudFormation, etc.)



Technical experience and Professional attributes:

Expertise in object-oriented/modern languages (C#, Java, Python, Go or similar)
Deep knowledge in designing and implementing cloud-native microservices architectures.
Experience in test automation, CI/CD pipelines, containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, etc.).
Experience in RESTful API design and development, and database technologies (RDBMS, NoSQL)
Experience with AWS/Azure services.
Experience with event driven architecture (e.g., Kafka, Pulsar, SNS/SQS).
Experience leading AI solution delivery using modern software engineering practices and cloud technologies (e.g., Azure, AWS, GCP), with a strong focus on AI and Large Language Models (LLMs).
Hands-on experience with security best practices and frameworks. Knowledge of Snyk is a plus.
Proven ability to lead and mentor engineering teams.
Demonstrated experience leading software development teams, focusing on technical aspects and fostering engineering best practices.
Ability to set technical direction and make high-stakes decisions.
Ability to lead the team as a product owner and drive the delivery of the product vision with the engineering teams.
Excellent communication skills to work with cross-functional teams, including product management and other stakeholders.
Strong analytical skills to address complex technical challenges.
Demonstrated ability to lead AI-focused engineering teams and drive cross-functional alignment on AI initiatives.
Ability to operate at highly varying levels of abstraction, from business strategy to product strategy to high-level technical design to detailed technical design to implementation.
Ability to work effectively in an ever changing, complex technical environment.
Experience driving for results across cross-functional teams while maintaining effective working relationships.
Experience leading AI/ML initiatives or holding certifications in AI technologies is a strong plus.



Educational Qualifications:

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

Experience: 12+ years in software development and testing, with at least 3 years in Cloud Native SaaS applications and preferably 3-5 years mentoring and leading teams of at least 10 engineers.




Additional Information:

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