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Software Development Engineer 3

WorkIndiaBengaluru, Karnataka, IndiaPosted 19 May 2026

WorkIndia is seeking a senior software engineer to contribute to their blue-collar hiring marketplace. The role involves leading end-to-end system design, mentoring junior engineers, and driving technical architecture for a high-scale platform. Candidates require strong experience across backend and frontend stacks, database optimization, and cloud environments. The position is based in Bengaluru and emphasizes a high-ownership startup culture.

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Experience

4+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

WorkIndia is seeking a senior software engineer to contribute to their blue-collar hiring marketplace. The role involves leading end-to-end system design, mentoring junior engineers, and driving technical architecture for a high-scale platform. Candidates require strong experience across backend and frontend stacks, database optimization, and cloud environments. The position is based in Bengaluru and emphasizes a high-ownership startup culture.

TAL's take

Quality 65/1004/5 clarityTier 2 company

Solid role at an established Indian tech startup with clear engineering ownership and significant scale.

Well-defined responsibilities and technical expectations, though slightly broad stack list.

Salaries at WorkIndia

16.2 LPA average

Based on 10 Grapevine salary entries for WorkIndia.

View all salaries

Product Management

0 - 2 years | SDE 1

12 LPA average

Range: 12 - 12 LPA

Other roles

0 - 2 years | SDE 1

13 LPA average

Range: 10 - 18 LPA

Other roles

2 - 4 years

15 LPA average

Range: 15 - 15 LPA

Other roles

4 - 6 years

33 LPA average

Range: 33 - 33 LPA

Must haves

  • 4+ years of software development experience
  • Proficiency in Python, Javascript, Django, Go, or Reactjs
  • Experience with PostgresQL, MySQL, MongoDB, or Elasticsearch
  • Expertise in system design and microservices
  • Knowledge of CI/CD and cloud infrastructure

Tools and skills

pythonjavascriptdjangogoreactjspostgresqlmysqlmongodbelasticsearchkubernetessystem designci/cddevops

Nice to have: aws, ec2, rds, lambda, cloudfront, eks.

About the company

Established Indian startup operating a large-scale marketplace with significant user base.

Posts mentioning WorkIndia

Depressed after placements

I’m a final year CSE undergraduate at VIT CHENNAI. So my college placements started in july week 1 . At the start of it there were big companies like phonePe Google Zomato Paypal WorkIndia and many others mostly 20lpa + package companies. Most of these would give out criteria for 9 pointers so I wouldn’t get shortlisted, my CGPA isn’t super bad it’s 8.7 but still it hurt a bit being left out of these good companies because of cgpa. Now it’s February and only 1 or 2 companies come in a week and half of them don’t take specialization students only take CORE CS Many companies have come and gone and I’m still not placed Sometimes it’s because resume isn’t shortlisted Sometimes my branch isn’t shortlisted (I’m in a cse specialization course) sometimes i give exams and they go good but I dont get shortlisted further. Sometimes college net doesn’t work while giving a test on campus. Sometimes company doesn’t activate test link for some kids and I’m that unlucky guy . So after all of this , I’m heartbroken and depressed. I don’t know what to do, where to look for off campus jobs or anything. Placements in my college carry on till march this year probably, but it hurts seeing random people get selected over me even though I’ve done better academically etc . Do you guys have any advice/tips for me What should I do? How should I go look for jobs off campus Or how to prepare for placements Anything might be helpful so please do comment .

Software Engineers86

Fractal, tiger , tredence and algonomy comparison

1. Mid-level Salary (5–8 years) Fractal Analytics: ~₹16–40 LPA (e.g. Senior Data Scientist) [ambitionbox.com] Tiger Analytics: ~₹12–25 LPA (e.g. Consultant) [ambitionbox.com] Tredence: ~₹13–33 LPA (e.g. Senior Data Scientist) [ambitionbox.com] Algonomy: ~₹8–32 LPA (e.g. Senior Engineer) [ambitionbox.com] 2. Senior-level Salary (10+ years) Fractal Analytics: ~₹27–50 LPA for lead roles [ambitionbox.com]; Top 10% >₹30 LPA [6figr.com] Tiger Analytics: ₹30 LPA+ for managers; Top 10% >₹30 LPA [ambitionbox.com]; Senior Directors up to ~₹98 LPA [ambitionbox.com] Tredence: ~₹30–50 LPA for managers/directors; Top 10% >₹32.7 LPA [ambitionbox.com]; Directors up to ~₹78 LPA [ambitionbox.com] Algonomy: ~₹30–60 LPA for senior roles; Top 10% >₹31.5 LPA [ambitionbox.com]; Principal Engineers up to ~₹98 LPA [ambitionbox.com] 3. Job Security (Bench & Layoffs) Fractal Analytics: Bench policy ~3 months (may exit if unallocated) [indeed.com]. Overall stable growth; no major layoffs beyond bench trimming. Tiger Analytics: Bench ~3 months (phased warnings) [glassdoor.com]. No mass layoffs reported, but bench terminations do occur [ambitionbox.com]. Business growing steadily. Tredence: Bench during probation – if not on project by end of probation, asked to leave [ambitionbox.com]. Minimal mass layoffs, generally stable finances. Algonomy: No bench system (product company). However, ~15% workforce layoff occurred in late 2022 [glassdoor.sg] post-merger. Aims for stability as business evolves. 4. Attrition (Employee Turnover) Fractal Analytics: Moderate – voluntary attrition ~20% [quora.com]. Many employees stick around for job stability and culture. Tiger Analytics: Historically low – claimed <10% attrition [glassdoor.ie] (90–95% retention). Some recent spike in resignations reported due to culture/hike issues [reddit.com]. Tredence: High in recent years – “heavy attrition” noted in reviews [glassdoor.ca], often due to workload and work-life balance issues. Algonomy: Mixed – some report high attrition post-merger [glassdoor.com]. Overall ~70% of employees still recommend the company [glassdoor.co.in]. 5. Culture & Work Environment Fractal Analytics: Employee-friendly, supportive culture – rated ~4.1/5 [ambitionbox.com]. Emphasis on learning. Offers permanent WFH and unlimited leave [indeed.com]. Downsides: slow promotions, some bench pressure. Tiger Analytics: Learning-oriented but rated ~3.7/5 [ambitionbox.com]. Smart peer group, rapid growth, but reports of toxic projects and inconsistent management [reddit.com]. Work-life balance is moderate. Tredence: High-pressure, average culture – rated ~3.5/5 [ambitionbox.com]. Excellent learning, poor work-life balance (3.1/5), and frequent overtime [quora.com]. Approachable management, chaotic internal processes. Algonomy: Friendly, collaborative culture – rated ~3.7/5 [naukri.com]. Good work-life balance, flexible hours [glassdoor.com]. Leadership is approachable; 2022 downsizing affected morale. 6. Career Prospects (Growth & Opportunities) Fractal Analytics: Steady growth path. Opportunities for lead roles; slower promotions (rated low) [ambitionbox.com]. Some internal product ventures. Limited onsite opportunities [indeed.com]; most work India-based. Tiger Analytics: Rapid growth creates new positions. Promotions/appraisals are a weak point [ambitionbox.com]. Engagement manager/director roles possible. Limited onsite travel [glassdoor.co.in]. Tredence: Early responsibility and broad exposure. ESOP buybacks offered [tredence.com]. Career progression can stall (promotions rated low) [ambitionbox.com]. Primarily offshore work. Algonomy: Mix of analytics and product career paths. High performers can move into product/solution leadership. Promotions are meritocratic (rated “Excellent”) [ambitionbox.com]. Future international roles possible [m.economictimes.com]

Indian Startups31

Depressed after college placements

I'm a final year CSE undergraduate at VIT CHENNAI. So my college placements started in july week 1 . At the start of it there were big companies like phonePe Google Zomato Paypal WorkIndia and many others mostly 20lpa + package companies. Most of these would give out criteria for 9 pointers so I wouldn't get shortlisted, my CGPA isn't super bad it's 8.68 but still it hurt a bit being left out of these good companies because of cgpa. Now it's October Many companies have come and gone and I'm still not placed Sometimes it's because resume isn't shortlisted Sometimes my branch isn't shortlisted (I'm in a cse specialization course) sometimes i give exams and they go good but I dont get shortlisted further. Sometimes college net doesn't work while giving a test on campus. Sometimes company doesn't activate test link for some kids and I'm that unlucky guy . So after all of this , I'm heartbroken and depressed. I don't know what to do, where to look for off campus jobs or anything. Placements in my college carry on till jan next year probably, but it hurts seeing random people get selected over me even though I've done better academically etc . Do you guys have any advice/tips for me What should I do? How should I go look for jobs off campus Or how to prepare for placements Anything might be helpful so please do comment . Here's what i can do

Data Scientists138