Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Java Full Stack Development Good to have skills : Machine Learning (ML) Minimum 7.5 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).