Sr Engineer, Application Development and Maintenance
Newsweaver (company site, opens in a new tab)10+ yrsOn-siteDirect career pageEst. 22–36 LPA
Posted 3d ago
Reach people at Newsweaver
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Newsweaver you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain modern web applications with ReactJS, TypeScript, and integrate AI-enabled features such as Generative AI, LLMs, and automation into business applications.
- Lead technical discussions, code reviews, and architectural decisions while mentoring junior engineers and promoting reusable components and engineering standards.
- Collaborate cross-functionally including product, UX, architecture, and data teams to deploy scalable, secure, performant cloud-native microservices with CI/CD and DevOps practices.
Minimum Requirements
- 10+ years of professional software engineering experience with enterprise application delivery.
- Strong expertise in ReactJS, TypeScript/JavaScript, HTML5/CSS3, Python backend development (FastAPI, Flask), RESTful APIs, and microservices architecture.
- Experience with cloud platforms (Azure, AWS, or Google Cloud) and knowledge of CI/CD, Git, automated testing, and Agile methodologies.
- Ability to work independently in a fast-paced, product-oriented environment.
Ideal Candidate Profile
- Senior-level engineer with deep expertise in modern frontend and backend development and architecture, particularly ReactJS and Python microservices.
- Experience applying AI-first engineering approaches integrating Generative AI, LLMs, and automation into enterprise applications.
- Proven ability to lead large-scale cross-functional initiatives, influence engineering standards, and mentor teams within enterprise product engineering contexts.