Lead Software Engineer - Fullstack

Opentext

8 - 13 years

15 - 20 Lacs

bengaluru

Posted:2 days ago| Platform:

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Skills Required

software engineer front end css restful predictive analytics airflow javascript nosql sql microservices angular spring boot back end java postgresql spark compliance full stack mysql typescript graphql mongodb architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

WHAT THE ROLE OFFERS

Lead one or more projects in the capacity of a Lead Engineer by interacting with all the project stakeholders and customers to gather the requirements, Develop and build.
Excellent knowledge on opentext B2B platform(s) and integration activities involved.
Define and evolve the architectural vision for our AI-powered supply chain analytics platform.
Lead end-to-end technical design, including data ingestion, processing pipelines, analytics engines, and user-facing applications.
Collaborate with cross-functional teams to translate business requirements into scalable, secure, and maintainable technical solutions.
Evaluate and integrate advanced AI/ML models to drive predictive analytics, optimization, and decision support.
Mentoring and guiding the junior members of the team

Ability to take direction and work with minimal supervision.
Ability to work in deadline driven environment, and respond creatively to pressure.
Excellent trouble-shooting skills.

WHAT YOU NEED TO SUCCEED

8+ years of experience in software engineering, with at least 2 years as lead.
Experience in data-intensive or analytics-focused applications.
Extensive expertise in full stack development
- Front-End: HTML, CSS, JavaScript, TypeScript, Angular.
- API: RESTful API design, Microservices architecture, GraphQL.
- Back-End: Java, Spring Boot, REST, Node.js
- Databases: SQL (PostgreSQL/MySQL), NoSQL (MongoDB)
Good to have expertise
- Designing and implementing data platforms using technologies such as Spark, Kafka, Airflow, Snowflake, Databricks, or similar.
- Data modeling, ETL/ELT processes, and distributed systems.
AI & Automation: AI/ML concepts, Gen/Agentic AI, Integration of AI services, RAG, MCP.
DevOps: Git, CI/CD (Jenkins/GitHub Actions), Docker, Kubernetes
Cloud: AWS, Azure, or GCP; Serverless & Infrastructure as Code
Security: Secure coding, OAuth/JWT, compliance awareness
Agile Tools: JIRA, Confluence; Scrum/Kanban practices
Strong communication skills - verbal, written.

Qualifications:

Bachelors Degree in Computer Science or equivalent/MCA/ equivalent
8-10 years relevant work experience

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