India wide · Pune based

IT & Software Recruitment

Engineering, data, product, design, QA, DevOps and SRE for product companies, SaaS teams, GCCs and services firms. We read a stack seriously and do not confuse keyword matches with capability.

The core problem

Why keyword matching fails on engineering CVs

The best candidate for your role often does not use your vocabulary.

An engineer who spent three years building an event driven order pipeline may never write the word Kafka on their CV, because at their company the internal system had a different name. A keyword search returns zero. A hiring manager reading the same CV would flag them in thirty seconds.

That gap is the single largest source of waste in technical recruitment, and it gets worse as you go senior, because senior engineers describe outcomes rather than tools. Our AI reads a role the way a hiring manager would and matches on demonstrated capability, then writes out why each candidate ranked where they did, including the gaps worth asking about in interview.

Roles

Roles we hire for

Engineering

  • Backend, frontend, full stack
  • Mobile: iOS, Android, React Native
  • Architects and principal engineers
  • Engineering managers and directors

Data & AI

  • Data engineering and platforms
  • Machine learning and MLOps
  • Analytics and business intelligence
  • Data science

Infrastructure

  • Cloud: AWS, Azure, GCP
  • DevOps, SRE and platform engineering
  • Security and application security
  • Database and reliability

Product & quality

  • Product management
  • Product design and UX
  • QA and automation
  • Technical program management
Our method

Three questions that separate owners from passengers

You do not need to be an engineer to screen engineers. You do need a method.

Most non-technical recruiters compensate for not understanding the work by matching keywords, which is exactly why hiring managers receive shortlists full of people whose CVs contain the right words and whose experience does not. We screen differently, and the method is simple enough that you can use it yourself in your own interviews.

1. Was it a live project?

  • Shipped and used by real users, or a college project?
  • Or a team-built product where the individual contribution is unclear?
  • A candidate who cannot draw that distinction themselves is itself the signal

2. What did they personally own?

  • Not what the team delivered
  • What this person was accountable for
  • Where the boundary of their responsibility actually sat

3. What problem were they solving?

  • Someone who owned the work states the problem in a sentence
  • Someone who was adjacent to it describes the technology instead
  • Very hard to rehearse, and it takes thirty seconds to ask

The third question is the one worth stealing. Ask a candidate what problem their last project was solving and listen to whether they answer with a problem or with a stack. People who owned the work lead with the problem, because that is what they spent their time thinking about. People who were near the work lead with the tools, because that is what they can see from where they were standing.

None of this requires you to write code, and none of it can be faked by a well-written CV. It is also why our shortlists are short: most profiles do not survive question one.

Proof

Two real searches, with the funnel shown

The middle of the funnel is where the work happens, and it is the part nobody shows you.

80+ screened

Every profile read against the scorecard, not just the first page of search results.

20 AI interviews

Same questions, same rubric, before anyone was submitted. Half did not survive this stage.

10 shared, 1 hired

The client reviewed ten people who had already been interviewed once.

That middle stage is the point. Most agencies go straight from reading a CV to sending it, which is exactly why clients end up interviewing people who read well on paper and fall apart in the room. Twenty of those eighty were interviewed before anyone was submitted, and ten did not make it through. The client never saw the ten, and never spent an hour finding out why.

A second search, a marketing manager for a SaaS startup. Twenty to thirty profiles screened, six shared, closed in twelve days with the candidate joining fifteen days later after notice. The first batch of four was rejected outright, and the reason mattered more than the rejection: the client wanted someone to own product marketing start to end, and the market kept supplying people who were good with a settled process. Excellent executors inside a machine somebody else had built.

The person who closed had run digital marketing and built strategy. He owned the process rather than ran it. That distinction is invisible on a CV, because every marketing profile lists the same channels and the same tools. It is the whole job at a startup, and it is why we send four at a time: the first four told us what the client actually meant, and the next two were shaped by that.

Who we hire for

Product companies, SaaS, GCCs and services firms

The same title means different things across these four, and screening should reflect that.

Product companies & SaaS

Smaller teams where individual ownership is high and a mis-hire is felt immediately. We screen hard for autonomy and for people who have shipped rather than maintained.

Global capability centres

Pune has one of India's largest GCC concentrations. Hiring here turns on whether a candidate can operate across time zones with a distant parent org, which is a distinct skill from working in a colocated team.

Services & consulting firms

Client facing delivery under commercial pressure. Breadth, ramp-up speed and communication carry more weight than depth in any single stack.

Coverage

Pune technology locations

Hinjewadi Phases 1, 2 and 3, Kharadi and EON, Magarpatta and Hadapsar, Baner and Balewadi, Viman Nagar, Yerwada and the Pune city centre. We also place remote and hybrid roles nationally where the team is distributed, which for engineering it increasingly is.

See also: Recruitment agency in Pune · Leadership & executive search · AI candidate assessment

Get in touch

Let's talk about the role

Tell us what you are hiring for and we will come back within one working day with a view on the market, a realistic timeline, and whether we are the right firm for it.

Start hiring with us