Lead I - Software Engineering

UST

Thiruvananthapuram

On-site

INR 1,200,000 - 2,200,000

Full time

14 days+
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Job summary

UST is seeking a Developer III - Software Engineering (POD Specialist) to design, develop, and deliver scalable software within a POD-driven environment. You will collaborate with POD Leads, Architects, and cross-functional teams to drive innovation and reliable business outcomes.

The role emphasizes AI-first engineering practices, GenAI-assisted development tools, and continuous learning across cloud, CI/CD, and production support to improve productivity and code quality.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, IT or related field
  • 3+ years of software engineering with strong full-stack capabilities
  • Hands-on experience building, enhancing, and maintaining enterprise-grade applications
  • Strong proficiency in frontend, backend, APIs, databases, cloud platforms, and DevOps
  • Experience using AI-assisted development tools and coding assistants
  • Strong analytical, troubleshooting, debugging, and problem-solving skills
  • Ability to work independently within a POD-based delivery model
  • Commitment to continuous learning and GenAI adoption
  • Good understanding of Agile, CI/CD, and software development best practices
  • Strong communication and collaboration across technical and business teams

Responsibilities

  • Develop, test, deploy, and support software solutions with high quality, scalability, and maintainability
  • Leverage GenAI and AI-powered tools to improve engineering productivity and code quality
  • Use AI-assisted capabilities for code generation, testing, documentation, and troubleshooting
  • Identify opportunities to automate development, testing, deployment, monitoring, and workflows
  • Contribute to AI-first engineering practices within the pod
  • Own features, stories, components, and production deliverables
  • Collaborate with POD Lead, Architects, Product Owners, and engineers to deliver value
  • Participate in design discussions, code reviews, and architecture work
  • Contribute to automated testing frameworks, CI/CD pipelines, and DevOps
  • Ensure adherence to security, best practices, and quality processes
  • Monitor performance, troubleshoot issues, and improve reliability
  • Share knowledge and contribute to continuous improvement in the pod

Skills

Full-Stack Development
Generative AI
CI/CD
Agile
Debugging
Production Support
Frontend Development
Backend Development
REST
Test Automation
Cloud Infrastructure

Education

Bachelor's degree in Computer Science / Engineering / IT

Tools

AI-assisted development tools
Coding assistants

Job description

Role Description

Developer III - Software Engineering (POD Specialist) Position Summary UST is seeking a skilled and highly motivated Developer III - Software Engineering (POD Specialist) to be a key contributor within an engineering pod, responsible for designing, developing, and delivering high-quality software solutions. The ideal candidate will possess strong hands-on technical expertise, embrace AI-first engineering practices, and collaborate effectively with POD Leads, Architects, and cross-functional teams to drive innovation, productivity, and successful business outcomes.

Skills & Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3+ years of software engineering experience with strong full-stack development capabilities. Hands-on experience building, enhancing, and maintaining enterprise-grade applications. Strong proficiency in frontend technologies, backend services, APIs, databases, cloud platforms, and DevOps practices. Experience using AI-assisted development tools, coding assistants, and modern software engineering frameworks. Strong analytical, troubleshooting, debugging, and problem-solving skills. Ability to work independently while effectively collaborating within a POD-based delivery model. Demonstrated commitment to continuous learning and adoption of emerging technologies, including Generative AI. Good understanding of Agile methodologies, software development best practices, and CI/CD principles. Strong communication and collaboration skills with the ability to work across technical and business teams.

Key Responsibilities
  • Develop, test, deploy, and support software solutions while ensuring high quality, scalability, and maintainability.
  • Leverage GenAI, coding assistants, AI-powered development tools, and automation frameworks to improve engineering productivity and code quality.
  • Utilize AI-assisted capabilities for code generation, testing, documentation, troubleshooting, and knowledge discovery as part of day-to-day development activities.
  • Identify opportunities to automate development, testing, deployment, monitoring, and operational workflows using AI and intelligent automation tools.
  • Contribute to the adoption and continuous improvement of AI-first engineering practices within the pod.
  • Own assigned features, user stories, technical components, and deliverables from development through production deployment and support.
  • Collaborate closely with the POD Lead, Architects, Product Owners, and fellow engineers to deliver business objectives and customer value.
  • Participate in design discussions, code reviews, technical problem-solving sessions, and architecture implementation activities.
  • Contribute to automated testing frameworks, CI/CD pipelines, release activities, and DevOps initiatives.
  • Ensure adherence to engineering standards, security guidelines, coding best practices, and quality processes.
  • Monitor application performance, troubleshoot production issues, and implement improvements to enhance system reliability and user experience.
  • Actively contribute to knowledge sharing, innovation initiatives, and continuous improvement efforts within the engineering pod.
Skills
  • Full-Stack Development
  • Generative AI
  • CI/CD
  • Agile
  • Debugging
  • Production Support
  • Frontend Development
  • Backend Development
  • REST
  • Test Automation
  • Cloud Infrastructure
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