Level AI Senior Backend Engineer Noida Hiring 2026

Level AI Senior Backend Engineer Noida hiring is active on the company's official careers system. Level AI is hiring a senior backend engineer for customer engineering on its AI-native contact-centre platform. The role owns backend products and features using Python, Django, databases, APIs, cloud infrastructure, and production engineering practices. This guide uses the live employer listing and links directly to it.

The position is based in Noida, India. Full-time hybrid role aligned to the US Eastern Time Zone. Candidates should compare their recent work with the verified requirements before applying.

Level AI Senior Backend Engineer Noida: Quick Facts

Company	Level AI
Position	Senior Backend Engineer, Customer Engineering
Location	Noida, India
Employment	Full-time hybrid role aligned to the US Eastern Time Zone
Source status	Official job page verified active on 7 June 2026
Application deadline	Not stated on the official job page

Salary and Employment Context

The official listing does not publish a salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time hybrid role aligned to the us eastern time zone. The location information is Noida, India. Ask the recruiter to confirm office attendance, shifts, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• The listing asks for three to six years of backend engineering experience.
• Applicants need a BE, BTech, ME, or MTech from a tier-one engineering institute with relevant technology-company experience.
• Experience in a higher-level language, preferably Python, is required.
• The role requires working in the US Eastern Time Zone.

What Does a Senior Backend Engineer, Customer Engineering Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Plan, build, execute, and maintain customer-facing backend products and features.
• Turn broadly defined problems into appropriate architecture and code.
• Drive engineering excellence and practical development standards.
• Design new systems and improve the architecture of existing services.
• Deliver high-quality product increments in an agile engineering environment.

What Skills Should the Resume Highlight?

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• Python and preferably Django backend development.
• PostgreSQL, SQL, relational database design, ETL, and data management.
• REST API design, Redis, Celery, caching, and asynchronous work.
• CI/CD, GCP, Kubernetes, and Docker.
• Algorithms, data structures, object-oriented design, and optional NLP exposure.

What Benefits and Work Conditions Are Listed?

Benefits differ by employer and location. Treat only the items stated on the official page as confirmed, and ask for the complete policy before accepting an offer.

• The official listing says compensation is market-leading and depends on skills and aptitude.
• The role offers ownership of high-impact AI product work.
• Detailed insurance, leave, and bonus terms are not published.

Application Fit Checklist

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Level AI job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare a Python and Django service design with PostgreSQL, Redis, Celery, and REST APIs.
• Review database modelling, caching, ETL, containers, Kubernetes, and CI/CD.
• Be ready to discuss Eastern Time collaboration and a backend feature you owned end to end.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

No numerical salary range appears on the official listing. Confirm compensation in writing during the hiring process.

Where is the job based?

The official listing gives the location as Noida, India.

Is this role still open?

The official application page was active when checked on 7 June 2026. Recheck it before applying.

Should candidates pay an application fee?

No. Applicants should never pay for an interview, referral, offer letter, or job application.

What is the official source?

The source is the official Level AI recruitment page at jobs.lever.co. Use that page for the current status.