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Software Engineer, Backend

WisdomAICompetition: Moderate • Entry Level
|Bengaluru|By CampusToCareer Editorial Team|Posted 11 days ago|Last verified 11 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Aug 4, 2026
💼 Experience Required
0-1 Years / 1-3 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
Backend
📌 How to Apply
Click on the Apply button
💰 Salary
20 - 30 LPA
Skills Recommended
data pipelinescloud infrastructurelarge scale data pipelinesMLscalabilitysecurity
Career Guide • 15 min read

Complete preparation guide for Software Engineer, Backend at WisdomAI

As a Backend Software Engineer at WisdomAI, you will play a crucial role in building large-scale data pipelines and modern cloud infrastructure to drive business growth. You will work closely with the founding team to define the product and engineering roadmap, shape the engineering culture, and ensure the scalability and security of the company's systems.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 25 Jul 2026

About WisdomAI

WisdomAI is a cutting-edge technology company that empowers businesses to unlock clarity from complexity through AI-powered analytics. With a strong portfolio of clients, including Fortune 100 companies, WisdomAI is revolutionizing the way teams make data-driven decisions. The company is committed to building a diverse and inclusive team, fostering a culture of transparency, authenticity, and relentless pursuit of outcomes.

Required Skills Explained

Data Pipelines

Why required: To build efficient and scalable data pipelines that can handle latency-critical analytical workloads.

How recruiters evaluate: The candidate should have experience working on large-scale data pipelines and be able to design and implement data pipelines that meet the company's requirements.

  • Apache Beam
  • Apache Spark
  • Data Pipeline Design Patterns

Cloud Infrastructure

Why required: To build cost-efficient and scalable systems using modern cloud infrastructure.

How recruiters evaluate: The candidate should have experience working with cloud infrastructure providers such as AWS, Azure, or Google Cloud and be able to design and implement scalable systems.

  • AWS Certified Cloud Practitioner
  • Azure Certified Solutions Architect
  • Google Cloud Certified Professional Cloud Developer

Machine Learning

Why required: To build ML-powered analytics that provide insights and explanations to customers.

How recruiters evaluate: The candidate should have experience working with machine learning frameworks and be able to design and implement ML models that meet the company's requirements.

  • TensorFlow
  • PyTorch
  • Scikit-Learn

Scalability

Why required: To ensure that the company's systems can handle increasing traffic and data volumes.

How recruiters evaluate: The candidate should have experience designing and implementing scalable systems and be able to identify and address scalability bottlenecks.

  • Scalability Patterns
  • Distributed Systems
  • Cloud Computing

Security

Why required: To ensure the security and integrity of the company's systems and data.

How recruiters evaluate: The candidate should have experience designing and implementing secure systems and be able to identify and address security vulnerabilities.

  • Security Best Practices
  • Cloud Security
  • Compliance and Risk Management

Who Should Apply

freshers

Freshers with a strong foundation in computer science and software engineering can apply for this role. However, they should be willing to learn and take on new challenges.

experienced

Experienced professionals with a background in backend software engineering and cloud infrastructure can apply for this role. They should have a strong portfolio of projects and a proven track record of delivering scalable and secure systems.

graduates

Graduates with a degree in computer science or a related field can apply for this role. They should have a strong understanding of software engineering principles and be willing to learn and take on new challenges.

btech

B.Tech graduates with a specialization in computer science or a related field can apply for this role. They should have a strong understanding of software engineering principles and be willing to learn and take on new challenges.

mca

MCA graduates with a specialization in computer science or a related field can apply for this role. They should have a strong understanding of software engineering principles and be willing to learn and take on new challenges.

diploma

Diploma holders with a specialization in computer science or a related field can apply for this role. However, they should have a strong portfolio of projects and a proven track record of delivering scalable and secure systems.

Typical Hiring Process

  1. Round 1: Initial screening of resumes and cover letters to shortlist candidates.
  2. Round 2: Technical interview to assess the candidate's technical skills and experience.
  3. Round 3: Final interview with the founding team to assess the candidate's fit with the company culture and values.

Resume Tips for This Role

  • Highlight relevant technical skills and experience.
  • Include a personal statement or summary that showcases your passion for software engineering and cloud infrastructure.
  • Use action verbs to describe your achievements and responsibilities in previous roles.

Interview Preparation Tips

  • Be prepared to answer technical questions related to data pipelines, cloud infrastructure, and machine learning.
  • Showcase your problem-solving skills and ability to think critically.
  • Ask questions about the company culture and values to demonstrate your interest in the role and the company.

Possible Interview Questions (10)

  1. What is your experience with data pipelines and cloud infrastructure?
  2. How do you approach scalability and security in your designs?
  3. Can you explain a complex technical concept to a non-technical person?
  4. How do you stay up-to-date with the latest developments in software engineering and cloud infrastructure?
  5. Can you describe a project you worked on that involved building a scalable and secure system?
  6. How do you approach testing and validation in your designs?
  7. Can you explain the trade-offs between different design approaches?
  8. How do you prioritize tasks and manage your time in a fast-paced environment?
  9. Can you describe a situation where you had to communicate complex technical information to a non-technical stakeholder?
  10. How do you approach continuous learning and professional development in your career?

Salary Insights (India)

Industry range

The average salary for a backend software engineer in India is around ₹15-25 lakhs per annum.

Freshers

Freshers can expect a salary range of ₹8-15 lakhs per annum.

Experienced

Experienced professionals can expect a salary range of ₹20-40 lakhs per annum.

The salary for this role is competitive and offers opportunities for growth and professional development.

Career Path Roadmap

1
Senior Software Engineer

Lead the development of complex software systems and mentor junior engineers.

2
Technical Lead

Lead the technical direction of a team and make strategic decisions about technology and architecture.

3
Engineering Manager

Manage a team of engineers and be responsible for the delivery of software projects.

Why This Opportunity Is Worth Considering

  • Opportunity to work with a cutting-edge technology company.
  • Chance to work on complex and challenging projects.
  • Opportunity to learn and grow with a talented team of engineers.
  • Competitive salary and benefits package.

Things To Know Before Applying

  • The company culture is fast-paced and dynamic.
  • The team is passionate about software engineering and cloud infrastructure.
  • The company is committed to diversity and inclusion.

Recommended Courses

Cloud Computing Specialization
Coursera

This course provides a comprehensive introduction to cloud computing and is relevant to the role.

Machine Learning Crash Course
Google

This course provides a comprehensive introduction to machine learning and is relevant to the role.

Software Engineering Principles
edX

This course provides a comprehensive introduction to software engineering principles and is relevant to the role.

Career Advice

To succeed in this role, you should have a strong foundation in software engineering and cloud infrastructure. You should also be willing to learn and take on new challenges. It's also important to have good communication skills and be able to work effectively in a team.

Editorial Note: This role is a great opportunity for software engineers who are passionate about cloud infrastructure and machine learning. The company culture is fast-paced and dynamic, and the team is passionate about software engineering. The salary is competitive, and the benefits package is comprehensive.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The company culture is fast-paced and dynamic. The team is passionate about software engineering and cloud infrastructure.
The most important skills for this role are cloud infrastructure, machine learning, scalability and security, data pipelines, and software engineering principles.
The salary range for this role is ₹20-30 lakhs per annum.

Similar Roles to Explore

Backend Software EngineerCloud EngineerDevOps EngineerData EngineerMachine Learning Engineer
Application trackerSkill learning pathsDaily coding practice
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Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Location

Bengaluru

Employment Type

Full time

Location Type

On-site

Department

Engineering

Overview

Application

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

About Wisdom

WisdomAI has the mission to provide access and insights from data to everyone. We believe in the power of data to drive better decisions and we believe with Generative AI, there is an opportunity to bring a disruptive change in how employees access insights within their organization. This is a great time to join the company as we have multiple Fortune100 companies as paying customers and still are early enough that you will get to define a lot of the product/engineering roadmap.

Role

We are looking for a backend/infrastructure engineer to join our founding team. We are working on building ML and data pipelines, which can be efficient, secure and highly scalable by design.

Job responsibilities

Build large scale data pipelines to handle latency critical analytical workloads.

Work with modern cloud infrastructure to build cost efficient and scalable systems.

Work closely with customers and founders to define the product and engineering roadmap.

Shape up the engineering culture and tech stack for the company.

Qualifications

Experience working on large scale data pipelines.

Bachelor's or Master's degree in Computer Science or related field.

Experience working in startup/fast paced teams is highly desirable.


Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.


Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.