The Hidden Cost of 'Perseverance' in Tech Hiring
Let me tell you about a software engineer whose story feels like a twisted parable for modern tech careers. A Bengaluru-based developer spent seven months, endured 36 interviews, and ultimately accepted a job in Hyderabad with minimal salary growth—all while recovering from a serious health issue. On the surface, this reads as a tale of triumph. But if you dig deeper, what emerges is a disturbing portrait of an industry in crisis.
The Myth of Meritocracy in Modern Tech Hiring
When someone needs 36 interviews to land a single offer, we’re not seeing meritocracy in action—we’re witnessing a broken system. Let’s dissect this: 36 technical interviews represent roughly 100-150 hours of preparation, assuming conservative estimates of 3-4 hours per interview. That’s more than two full workweeks spent not creating value, not resting, but rehearsing for hypothetical scenarios.
What many people don’t realize is that this volume of interviews isn’t a badge of honor but a symptom of three intersecting failures: companies’ over-reliance on algorithmic puzzles divorced from real-world coding, candidates’ rational response to rejection rates exceeding 90%, and an industry-wide abandonment of meaningful skill assessment frameworks. The very act of celebrating someone’s ‘persistence’ through this gauntlet feels like applauding someone for surviving a minefield while ignoring the mines.
The Emotional Bankruptcy of Modern Job Hunts
This engineer’s story reveals something darker than professional perseverance: the psychological toll of being treated as interchangeable parts in a hyper-competitive machine. After quitting his EPAM job due to severe sciatica, he faced seven months of financial instability—yet still managed to master GenAI during this period.
From my perspective, this isn’t just impressive—it’s terrifying. We’re normalizing the expectation that professionals must simultaneously manage health crises, retrain in emerging technologies, and maintain superhuman stamina during job searches. The Reddit comments praising his ‘determination’ miss the bigger picture: when did it become reasonable to expect someone recovering from physical trauma to also become a GenAI expert while unemployed?
The GenAI Gamble: Strategic Move or Desperation Play?
His decision to focus on GenAI during his break raises fascinating questions about the tech industry’s cyclical obsessions. Was this a genuine passion project or a calculated survival tactic? The answer likely lies somewhere in between. What’s striking isn’t the choice itself, but what it reveals about our industry’s collective anxiety.
Developers feel compelled to chase every new acronym—whether Web3, ML, or now GenAI—not because they necessarily care about the technology, but because they’ve learned the hard way that relevance equals survival. This creates a dangerous feedback loop: companies demand GenAI expertise because it’s trendy, forcing engineers to prioritize marketability over mastery. I worry we’re creating a generation of ‘Frankenstein developers’—patchworks of half-learned skills assembled through sheer survival instinct.
Why Social Media Celebrates What Companies Fail To See
The viral nature of this story on r/developersIndia exposes a critical disconnect. Users praising his ‘hustle’ and requesting resume templates are essentially crowd-sourcing survival strategies for a broken ecosystem. One commenter’s observation that “getting a software job shouldn’t be this hard” cuts to the heart of the matter—yet we keep treating outlier persistence as the solution rather than evidence of systemic failure.
What stands out to me is how this parallels gig economy mentalities: when stable employment becomes elusive, workers increasingly internalize market failures as personal shortcomings. The Reddit thread becomes a support group where professionals exchange coping mechanisms rather than demanding better hiring practices.
The Bittersweet Geography of Opportunity
His need to relocate alone to Hyderabad while leaving family behind in Bengaluru adds another layer of complexity. This geographic arbitrage—sacrificing personal stability for professional opportunity—mirrors broader economic patterns we see across India’s tech corridor. Bangalore’s saturation pushes talent to emerging hubs like Hyderabad, creating a new class of ‘tech diaspora’ forced to choose between career and family.
If you take a step back, this reflects a deeper tension in India’s tech growth model: we’re building a globally competitive industry without creating the corresponding support structures—be it affordable housing in tech cities, remote work infrastructure, or family-friendly workplace policies. The human cost of this imbalance rarely makes headlines, but it’s playing out in thousands of similar stories.
A Deeper Question: What Are We Optimizing For?
This journey through 36 interviews forces us to confront uncomfortable truths about our industry’s values. When did we decide that a successful hiring process should resemble a reality TV competition? Why do we celebrate candidates who survive marathon interview processes when this endurance test says nothing about their ability to build sustainable systems or mentor junior developers?
Personally, I think we’ve lost sight of what truly matters in tech hiring. The fact that this engineer could master GenAI while unemployed and still struggle to get hired suggests our evaluation metrics are fundamentally misaligned with actual technical capability. The real story here isn’t his perseverance—it’s the industry’s collective failure to recognize and reward meaningful skills development.
In the end, this story isn’t about one developer’s journey. It’s a mirror held up to an industry where the path to employment has become an endurance sport, where technical mastery competes with interview theater, and where the line between professional resilience and exploitation grows increasingly blurry. The question isn’t how to produce more ‘36-interview survivors’—it’s how to build a system where such extreme perseverance shouldn’t be necessary in the first place.
