Project Role : Custom Software Engineering Lead
Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
This is a key leadership role, responsible for overseeing and guiding complex technical projects, driving innovation leveraging AI, and ensuring the successful delivery of high- quality software products. This role involves a combination of hands-on technical work, strategic planning, and team leadership. 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.
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.
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 & Professional attributes:
Expertise in object-oriented/modern languages (C#, Java, Go etc.)
Strong understanding of software design patterns
Proficient in RESTful API design and development, and database technologies (RDBMS, NoSQL)
Strong experience with AWS/Azure services. AWS/Azure Solution Architect certification highly preferred.
Extensive experience in designing, developing, and maintaining SaaS applications.
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).
Deep expertise 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.
Proven 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).
Hands-on expertise in building and operationalizing AI applications such as:
o Natural Language Processing (NLP) (e.g., Azure Cognitive Services, OpenAI APIs)
o Conversational AI (e.g., AI Chatbots, Voice Assistants)
Knowledge of following is a strong plus.
o Computer Vision (e.g., AI Image Recognition, Object Detection)
o Recommendation Systems, Sentiment Analysis, and Predictive Modelling
o AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
Hands-on experience with security best practices and frameworks. Knowledge of Snyk is a plus.
Leadership Skills
Proven ability to lead and mentor engineering teams.
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.
Must possess strong interpersonal, organizational, presentation and facilitation skills.
Must be results oriented and customer focused with an ability to make successful trade-offs that balance short- and long-term product goals.
High-energy, self-starter with a positive mindset and a can do attitude.
Education 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 coaching engineers in a leadership role.
Experience leading AI/ML initiatives or holding certifications in AI technologies is a strong plus.
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
15 years full time education
