InfoBeans
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Information Technology Support Services · 501 to 1000 Employees · Indore, India
Whether you want to stay at the forefront of innovation, or simply solve a challenging problem for your enterprise, we have the right temperament and the skill sets to help you achieve your business goals through technology. Our clients, many among the world’s largest, are a testimony to the focus that InfoBeans brings in making them successful in their endeavor to widen revenue streams, achieve cost efficiency and enhance customers’ experience. Our highly passionate team members across our state-of-the-art offices in the USA, Germany, UAE and India are differentiated by the passion to deliver outcomes for all our global clients in their Digital Transformation and Product Engineering journeys. Our values are simple and the foundation of our culture stands on four pillars - Excellence, Ownership, Compassion, and Openness. Be it managing team expectations or managing customer experience; every process is led by our cultural pillars that are at the core of each aspect of the business. Fun is in our DNA - we are a team of passionate leaders who celebrate the diversity that fuels our creativity and innovation. Our team members enjoy an open culture, flat hierarchy, and are happy to be working in an environment of trust and care for one another. We are proud to have been awarded "Great Place to Work" and "Dream Companies to Work For" multiple times. We are consistently ranked amongst the top 50 IT/ITES mid-tier firms in India and have been recognized as the best under various categories in numerous government and private forums. InfoBeans is listed on the National Stock Exchange in India. In its 21st year of growth, InfoBeans is built on a solid foundation of people, finances, and processes with an intense focus on Creating WOW in everything we do. InfoBeans' founders have consistently practised fiscal prudence to make it a financially robust organization.
Hiring: Engineering
What employees say
+ Salary on time. Good Working experience if project is good
− No bench policy. Project over, then you will let go if there is no matching profile job available.
More reviews on the company profile.
Interview experience · Data Scientist Gen AI
It was a pathetic and disappointing experience with the organization. There was 1 round. It went well and after shortlisting the company ghosted me. The HR and her manager kept on lying the whole time for 2 weeks complet
Average difficulty · India · 94 reports
More interview insightsJob description
Overview
We are looking for an experienced MEAN Tech Lead with strong SQL expertise to take technical ownership of enterprise People Management & Employee Delegation platform.
Responsibilities
- We are looking for an experienced MEAN Tech
- Lead with strong SQL expertise to take technical ownership of enterprise People Management & Employee Delegation platform.
- Technical Ownership & Knowledge Transfer : Take comprehensive technical handover of the enterprise platform, becoming the internal subject matter expert on system workflows and architecture.
- Team Leadership : Direct, mentor, and manage a team of 45 full-stack developers through technical guidance, sprint execution, and code reviews.
- Database & Query Optimization : Architect, optimize, and maintain high-volume SQL schemas and MongoDB databases to ensure data consistency and query performance.
- System Health & Continuous Delivery : Drive technical excellence, enforce clean code standards, and ensure high operational stability across all application layers.
- Cross-Functional Alignment : Collaborate with product teams and business analysts to translate complex HR delegation rules into clean technical specifications.
- Angular : Expertise in modern Angular (v21/v22), including standalone components, Signals, Reactive Forms, RxJS, and state management.
- Node.js : Strong backend experience with Node.js (v22/v24 LTS) and Express.js, building performant RESTful APIs and microservices.
- SQL Mastery : Advanced proficiency in relational databases (PostgreSQL, MySQL, or MS SQL Server) including complex query writing, indexing strategies, stored procedures, and performance tuning.
- NoSQL : Hands-on experience working with MongoDB (aggregations, indexing, schema design).
- Code Navigation : Proven ability to quickly analyze, debug, and navigate existing enterprise codebases.
- Testing & Tools : Experience with automated testing frameworks (e.g., Vitest, Jest), Git workflows, and CI/CD pipelines.
- Rapid Domain Acquisition : Ability to swiftly absorb complex domain logic around organizational hierarchies, access control levels, and approval delegations.
- Mentorship & Communication : Strong leadership skills to elevate junior/mid-level engineers and clearly articulate technical decisions to non-technical stakeholders.
- Analytical Problem-Solving : Structured approach to root-cause analysis, system troubleshooting, and performance bottlenecks.
Qualifications
- Indore (Preferable) or Pune offices.
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Job application FAQ
Last updated 26 October 2026
- How do I apply for InfoBeans Technologies - Technical Lead - MEAN Stack at InfoBeans?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. InfoBeans may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this InfoBeans Technologies - Technical Lead - MEAN Stack role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is InfoBeans Technologies - Technical Lead - MEAN Stack remote or on-site in Indore, Madhya Pradesh?
- This listing is marked on_site with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this InfoBeans Technologies - Technical Lead - MEAN Stack role at InfoBeans?
- This is a lead InfoBeans Technologies - Technical Lead - MEAN Stack role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.