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Lead Software Engineer: ML Ops & System Engineer Job Opening In New Delhi – Now Hiring AppZen


Job description

Role: Lead Software Engineer : ML Ops & System Engineering

About Us:
AppZen is the leader in autonomous spend-to-pay software.

Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions.

It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend.

Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses.

To learn more, visit us at

www.appzen.com

.

About the Role:
We are looking for a

Lead Software Engineer

with strong expertise in

ML Ops, distributed systems, and platform engineering

to design, build, and scale high-performance infrastructure.

You will lead initiatives across software engineering, system reliability, and machine learning operations to deliver robust, production-ready solutions.

Key Responsibilities
Design & Develop

scalable, secure, and reliable microservices using

Golang

and

Python .
Build and maintain containerized environments

using

Docker

and orchestrate them with

Kubernetes .
Implement CI/CD pipelines

with

Jenkins

for automated testing, deployment, and monitoring.
Manage ML workflows

with

MLflow , ensuring reproducibility, versioning, and deployment of machine learning models.
Leverage Temporal

for orchestrating complex workflows and ensuring fault-tolerant execution of distributed systems.
Work with AWS cloud services

(EC2, S3, IAM, basics of networking) to deploy and manage scalable infrastructure.
Collaborate with data science and software teams

to bridge the gap between ML research and production systems.
Ensure system reliability and observability

through monitoring, logging, and performance optimization.
Mentor junior engineers and lead best practices for ML Ops, DevOps, and system design.

Required Skills & Experience:

Minimum 5+ years of experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Strong programming skills in Golang and Python
Hands-on experience with Kubernetes and Docker in production environments.
Proven experience in microservices architecture and distributed systems design.
Good understanding of AWS fundamentals (EC2, S3, IAM, networking basics).
Experience with MLflow for ML model tracking, management, and deployment.
Proficiency in CI/CD tools (preferably Jenkins).
Knowledge of Temporal or similar workflow orchestration tools.
Strong problem-solving and debugging skills in distributed systems.
Excellent communication and leadership skills with experience mentoring engineers.

Required Skill Profession

Computer Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AppZen adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Software Engineer: ML Ops & System Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Software Engineer: ML Ops & System Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Software Engineer: ML Ops & System Engineer Job Success

AppZen interview tips for Lead Software Engineer: ML Ops & System Engineer

Here are some tips to help you prepare for and ace your Lead Software Engineer: ML Ops & System Engineer job interview:

Before the Interview:

Research: Learn about the AppZen's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Software Engineer: ML Ops & System Engineer interview at AppZen, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AppZen's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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