Hire back-end developers in India, powered by Mira AI.

Open the role with the language, the seniority and the timezone overlap you need. Mira AI drafts the job description and a scorecard built around your architecture, the role reaches our candidate community, and each application is scored against it as it arrives. You interview the ranked shortlist, and when you make an offer, Wisemonk employs the engineer on your behalf, so no Indian entity is needed.

Hire for the language your service already runs, unless you are starting from nothing. Python and Java have the deepest pools in India, Node.js is close behind and often overlaps with front-end talent, PHP is the cheapest to staff, and Go skews senior and costs more. Rewriting a service to match the talent you can find is almost always more expensive than hiring for the stack you have.

Seniority and city drive it more than the language does. A mid-level Django engineer costs less than a senior one who owns the schema and the deployment story, and Bengaluru sits above Pune, Hyderabad and the smaller hubs. Go and Kotlin carry a premium because the pools are thinner; PHP sits at the other end. When you open a role we compare your band against our payroll data for back-end engineers and say whether it will fill before it goes live.

A back-end developer owns the service: the API, the data model, the queues and the way it behaves under load. A full-stack developer covers that plus the interface, usually at less depth on each side. For a first engineering hire, full-stack is often the better bet. Once traffic or data complexity grows, the depth of a dedicated back-end engineer starts to pay for itself.

Overlap with the UK and Europe is the norm and simple to staff. Full US-hours coverage draws from a smaller group, so state the overlap when you open the role and only candidates willing to work it will apply. Back-end roles tend to need less live overlap than front-end or product roles, which widens the pool in practice.

Mira AI scores each application against the scorecard you wrote, which for back-end usually means the language, the years in it, the scale of the systems they have operated and whether they owned deployment. Every score comes with its reasoning. You still run your own system design and code rounds, and the workspace holds the take-home, the review notes and the team scorecards on one thread.

No. Wisemonk signs the employment contract as the legal employer and takes on payroll, provident fund, gratuity, ESI and income tax withholding. The engineer reports to you and takes their work from you. Teams that already have an Indian entity can employ on that instead, and the choice is made at offer stage rather than when the role opens.

Roughly six to nine years, owning a service rather than a ticket queue: choosing the datastore, designing for the failure modes, and reviewing the people around them. Titles move quickly in the Indian market, particularly inside services firms, so write the system scope into the scorecard instead of trusting the title on a CV.

Often, yes. Most senior back-end engineers in India have run their own CI, containers and cloud infrastructure, especially those from smaller product teams. Ask for it explicitly in the scorecard so it is scored rather than assumed. If the infrastructure work is a full job in itself, hire a DevOps engineer for it instead.

Put the scale into the brief in numbers rather than adjectives: requests per second, data volume, or the size of the team that maintained the service. Mira AI scores against what you write, so a concrete number filters hard while the word "scalable" filters nothing. Engineers from India's larger product companies and capability centres are where most of this experience sits.