Software engineering salaries

Offer Summary Date of Offer: June 2025 Current Experience (YOE): 4 years Base Pay: ₹40 LPA Joining Bonus: ₹4 Lakhs RSUs: $30,000 (vested over 4 years) First Year CTC: ₹50 LPA Location: Bangalore (Hybrid – 1 day/week onsite)

Annual performance bonus (10%, not guaranteed) Standard benefits: health insurance, WFH flexibility, free meal, cab service and others

Designation: SDE-1 Comp: 15 LPA All fixed Mode: 5 days WFO

The team majorly works on maintaining storage infra for azure. so I'm guessing no development work but only troubleshooting work.

* Base Salary: 48L * Signing Bonus: 9.6L * Relocation: will sponsor movement of goods + 1 way flight to mumbai + 14 days stay at hotel * Benefits: 50% rent payment upto 45k max (over and above the base salary) * Yearly Bonus: nil

Base: 66 (including pf) Bonus: 15% (approx 9) RSU: 85K for 4 years Sign on: 3L TC: first year (98L approx), 94-95L from 2nd year

₹9 LPA fixed, fully remote

Yahoo SDE 2 compensation - This is for Yahoo Finance, Bengaluru location

Expected compensation to be expected with 4 years of experience

* **Company:** Oracle SaaS Platform * **Role:** PMTS * **Years of Experience:** 8 years * **Base Salary:** 65LPA * **Stock:** 60K USD over 4 years (~40% + 30% + 20% + 10%)

🎓 Candidate Profile - **Education:** B Tech from Tier 1 college - **Years of Experience:** 1.3 years - **Prior Experience:** Data Scientist - **Prior Compensation:** 14.4 lpa 📅 Offer Details - **Date of Offer:** Sept 2024 - **Company:** Samya AI (Fractal Analytics) - **Title:** Data Scientist - **Location:** Bengaluru 💰 Compensation Breakdown (Approx.) | Component | Monthly (INR) | Annual (INR) | |----------------------------------|---------------|--------------| | **Basic** | ₹78,645 | ₹9.4L | | **House Rent Allowance (HRA)** | ₹39,323 | ₹4.7L | | **Leave Travel Allowance (LTA)** | ₹1,250 | ₹15K | | **Meal Vouchers** | ₹1,100 | ₹13K | | **Company PF Contribution** | ₹1,800 | ₹21.6K | | **Special Allowance** | ₹36,973 | ₹4.4L | | **Fixed Compensation** | ₹1,59,091 | ₹19.1L |

🎓 Candidate Profile - **Education:** BE from Tier 1 college - **Years of Experience:** 3.10Y - **Prior Experience:** Data Scientist at product-based company - **Prior Compensation:** ~₹24 LPA 📅 Offer Details - **Date of Offer:** June 2025 - **Company:** Gallagher (Gallagher Center of Excellence - GCoE) - **Title:** Senior Gen AI Engineer - **Location:** Bangalore, India 💰 Compensation Breakdown (Approx.) | Component | Amount (INR/year) | |------------------------------|--------------------------------| | **Base** | ~₹11.7L | | **House Rent Allowance (HRA)** | ~₹5.8L | | **Special Allowance** | ~₹11.5L | | **Employer PF Contribution** | ~₹0.2L | | **Fixed Compensation** | ~₹29.2L | | **Annual Performance Bonus** | Up to ~₹1.8L *(200% max payout, quarterly)* | | **Joining Bonus** | ₹2L *(₹1L with first salary, ₹1L after 12 months, 12-month clawback each)*

* Base Salary: 40L * Performance Bonus: 10% * Total Compensation: 42L

Initially it was agreed for 16 as base but after release of offer letter was too low.

Compensation Expectations with 2 YOE - Company: Cohesity - Role: SDET - Years of Experience: 2 - Base Salary: 15.5L - Total Compensation: 15.5L

Salary Expectations for Senior ML Engineer Role at Visa (India) – 4.5 YOE Hi everyone, I’ve recently interviewed for a Senior Machine Learning Engineer position at Visa (India) and wanted to get some insights from the community regarding expected compensation. Here’s a quick snapshot of my profile: Experience: 4.5 years (currently at IQVIA) - Domain: AI Agents, NLP, ML, Generative AI – focused on real-world projects in healthcare, Job portal etc.. - Tech Stack: Python, Pytorch, HuggingFace, Langchain, GCP, FastAPI, Kafka, etc. - Work Style: End-to-end ownership, model deployment, multi-modal data handling (PDF, audio, CRM, etc.) Can anyone share: What’s the expected total compensation (base + bonus + stocks) for a Senior ML Engineer at Visa (India)? Any tips on how to negotiate, if an initial offer feels on the lower side? Thanks in advance! 🙏 Would appreciate any real-time data or recent experiences.

Current CTC - 7(Fixed) + 1(variable)

Base: 50 Lacs Bonus: 15% of Base => 7.5 Lacs Private Equity: 100k USD => 84 Lacs Vested over 4 Years Joining Bonus: 0 Relocation: N/A Total CTC: Base + Bonus + Equity/4 = 50 + 7.5 + 21 = 79.5 LPA Final Result: Declined

* Base Salary: INR 2,100,000 * Total Comp: INR 2,500,000

Base Salary: 32 LPA Joining Bonus: 6 LPA (4 LPA in 1st year + 2 LPA in 2nd year) Stock: 85k USD, vesting over 4 years Performance Bonus: Upto 20%

Team: Procurements team under SAP Ariba Retirals: 95k Bonus: 8% TTC = 1.6L Stocks: NIL Joining Bonus: 2L Benefits: Relocation upto 1.5L + Standard SAP Benefits

Role: Backend Intern Location: Bangalore Stipend: 30K/month Process: My resume got shortlisted. Assignment Round: I was given an Inventory Management System assignment to build. Interview Round (45 min): Started with a discussion about my project, asked about tech stack choices and why MongoDB is scalable. I was given a DSA problem (Permutation in String) which I solved in about 10 minutes. Verdict: REJECTED

Education: M.Tech, Tier-1 (2020) Years of Experience: 5+ Years Base: 64.7 LPA (Including PF) Variable: 9.15 LPA RSUs: 17.65 LPA (25% of the 81K USD) Food Coupons: 21K Joining Bonus: 2L Total (First Year): 93.7 LPA (excluding gratuity and insurance benefits)

I need help in choosing an offer from Cohesity for the MTS-2 role. My primary concerns are: Work-Life Balance (WLB) Stability Any other negative aspects