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Swiggy Placement Papers 2026

Swiggy is India’s leading on-demand food delivery and hyperlocal services platform. Founded in 2014 by Sriharsha Majety, Nandan Reddy, and Rahul Jaimini, Swiggy is known for technology-driven logistics, large-scale food delivery, and digital innovation across 500+ Indian cities.


HQ: Bengaluru, India
Employees: 6,000+
Revenue: $2.7+ Billion USD

Explore: Online Assessment · Coding Questions · Interview Experience · Preparation Guide · Certifications & Career · Download PDF

Swiggy hires like a consumer product + logistics tech company, not a service-company mass drive. The printed CGPA floor gets you into the funnel; the OA/PAI and DSA/LLD rounds decide whether you see an offer.

  • For: Final-year and early-career engineers targeting SDE roles on orders, delivery assignment, payments, and hyperlocal systems.
  • Not the same bar: Pure sales, support, or non-engineering marketing roles - different funnels entirely.
  • Diversity paths: SheCodes / women-in-tech tracks change eligibility gates on the notice - not the DSA bar.
Item Typical expectation (candidate-reported) Reality check
CGPA / % 65% or 6.5+ in 10th, 12th, graduation when listed Higher GPA helps resume screen; OA still decides
Degree B.E./B.Tech/M.E./M.Tech/MCA in CS, IT, ECE, EE, or related Strong DSA opens more branches
Backlogs None active at application / joining Clear before offer paperwork
Experience Freshers and ~0-2 years Referral and off-campus paths common
Languages Java, C++, Python, Go One deep language for OA + interviews
Gaps Max ~1 year on many notices Full-time degrees only

Is 6.5 enough? It matches the commonly reported floor. A 6.6 with clean timed coding and a crisp delivery-assignment story beats an 8.8 that freezes on graphs. Swiggy places heavy weight on OA performance - treat CGPA as a gate, not a scoreboard.

Academic snapshot

Marks: 65% or 6.5+ CGPA (when listed)

Degree: B.E./B.Tech/MCA CS/IT/ECE/EE/related

Year: Final year + recent grads (~1 year)

Backlogs: None active preferred

Skills bar

Primary filter: Medium-hard DSA under time

Interview differentiator: Delivery design / LLD + values

Languages: Java, C++, Python, Go

Hub: Bengaluru (hybrid norms vary)

Good fit: You enjoy medium-hard LeetCode-style problems, can talk about order state machines and delivery assignment without jargon soup, and have STAR stories for customer focus. Comfort with Bengaluru relocation helps.

Harder path: You only practiced aptitude MCQs; you skip LLD because “freshers don’t get design”; you cannot explain your project. OA clear rates are often cited around ~10-15% - guessing through edges fails quietly.

  • Fewer seats than mass recruiters → OA feels harsh.
  • Referrals help resume visibility; not hidden tests.
  • SheCodes widens path eligibility when listed; same coding bar.
  • Data science / other roles may use top-down team-lead loops - different from SDE PAI.

If your college does not have Swiggy on the calendar, start careers + referral early.

Candidates search PAI test in Swiggy when invites name a first-round online screen. In practice, PAI means Swiggy’s proctored online assessment before interviews - not a separate public exam like TCS NQT.

What candidates mean by “PAI” What to prepare
Primary SWE path Timed coding OA (90-120 min): 2-3 DSA + debugging
Some campus notices Short aptitude/logical block with or before coding
Pass bar (reports) Strong coding accuracy; ~10-15% advance

If your email says “PAI,” “online assessment,” or “coding test,” treat it as the OA. Drill Online Assessment and the 2026 PDF. Confirm sections on your invite.

SheCodes / diversity campus tracks are a hiring pathway:

  • Eligibility may be limited per that notice
  • Assessment is usually still coding → interviews
  • Prep stays DSA + delivery design + ownership STAR stories

Building delivery intuition without a logistics internship

Section titled “Building delivery intuition without a logistics internship”
  1. Sketch order flow: place → restaurant accept → assign rider → deliver → rating
  2. List failure modes (rider cancel, restaurant delay, payment fail)
  3. Propose one metric per failure
  4. Note concurrency when two riders accept the same order

Do this weekly. Interviewers spot YouTube-only design talk quickly.

Theme Why Swiggy-like OAs use it Cousin drills
Arrays / two pointers Subarray constraints Sliding window
Trees Hierarchical data Traversals, LCA
Graphs Routing / relationships BFS/DFS, shortest path
DP Optimization LIS, knapsack light
Debugging Broken code fixes Trace + edge cases

Pull cousins from coding questions after every miss.

  • Customer focus without fake empathy scripts
  • Ownership language with numbers
  • Bias for action when requirements change
  • Honesty about mistakes and learning
  • Read ESOP vesting and location clauses
  • Confirm hybrid expectations
  • Do not resign until written letter lands
  • Keep CGPA dates consistent for BGV
  1. Exact CGPA floors
  2. Branch list
  3. Whether aptitude appears with PAI
  4. SheCodes vs mainstream track
  5. Backlog policy at joining

Swiggy does not publish a permanent official paper bank. Sets on placementpapers.app are pattern trainers. Full archive: previous year question papers.

Round (typical) What to practice
OA / PAI 90-120 min stamina on 2-3 medium-hard DSA + debugging
Technicals Live DSA narration; sometimes combined DSA + LLD
Managerial Swiggy values / ownership STAR stories
HR Why Swiggy?, Bengaluru logistics, compensation
  • 2024: Arrays/trees/graphs/DP on OA; interviews already probing delivery-domain design.
  • 2025: More notes on combined DSA + LLD sittings for some levels; debugging questions; edge-case completeness.
  • 2026 prep expectation: Keep medium-hard DSA warm; practice LLD with concurrency; prepare values stories early.
  1. Timed: 90-120 minutes, 2-3 problems + debugging mindset.
  2. Untimed review: rewrite cleaner solutions; list edges.
  3. Pull theme cousins from coding questions.
  4. Sketch delivery assignment or parking-lot LLD for 20 minutes.
  5. Log one customer-focus STAR story.

Swiggy hires through campus, careers, referrals, and occasional hackathons. Same technical bar either way.

Campus

PPT → resumes → PAI/OA → interviews. Season-aligned slots.

Direct apply

Swiggy Careers with resume. Resume screen then OA invite.

Referrals / shecodes

Referrals and diversity tracks can shorten the queue; DSA bar remains.

  1. Online Coding Assessment / PAI - 90-120 minutes

    Section Questions Time Difficulty Focus
    Coding 2-3 90-120 min Medium-Hard Arrays, trees, graphs, DP
    Debugging Often included Within window Medium Fix broken logic

    Platform: HackerRank or Swiggy’s tool. Languages: Java, C++, Python, Go. Clear rates often ~10-15%.

    Time boxing: one sure AC first, then second for a clear bar, then third / debugging polish.

  2. Technical interviews - 2-3 rounds, ~45-60 minutes each

    Live DSA; project deep-dives; system design for orders/delivery; some loops combine DSA + LLD (parking lot + concurrency) in one sitting. Roughly 40-50% advance between technical stages in student reports.

  3. Managerial / Team Fit - ~45 minutes

    Swiggy values, ownership, customer focus, conflict. Success often cited around 60-70% of prior-round survivors.

  4. HR / Offer - ~20-30 minutes

    Background, Why Swiggy?, compensation, Bengaluru logistics.

Phase Duration What happens
Application & screening 3-7 days Resume review
OA / PAI 1 day Coding test + evaluation
Technical interviews 7-14 days 2-3 rounds scheduling
Managerial 2-3 days Values / team fit
HR 1-2 days Offer discussion
Result 2-5 days Offer letter

Total: often 2-4 weeks once active.

  • OA: Correctness, edges, debugging calm.
  • LLD: Extensibility and concurrency, not clever one-liners.
  • Managerial: Real ownership stories.
  • Projects: Metrics and trade-offs.

When a round mixes coding and design:

  1. Clarify time split with the interviewer
  2. Ship a correct coding solution before perfecting LLD polish
  3. For LLD, name classes, concurrency risks, and one extension

Parking-lot / stock / sort-colors style prompts appear in public write-ups - practice the shape, not the exact problem.

Comparing Swiggy to other consumer-tech prep

Section titled “Comparing Swiggy to other consumer-tech prep”
Company vibe Prep you can reuse What to add for Swiggy
Zomato DSA + food-tech talk Logistics assignment depth
Flipkart Medium-hard OA stamina Delivery state machines
Blinkit Hyperlocal intuition Rider assignment + SLA talk
  1. Online assessment
  2. Coding questions
  3. Interview experience
  4. Preparation guide
  5. Year pages (2024, 2025, 2026)

Download the 2026 PDF for offline timed runs.

Weak: “I am a team player and love food.”
Stronger: “We cut late deliveries in a college project by changing assignment from random to nearest-available; here’s the metric.” Use numbers. Fake hero stories fail.

  • Stable power + hotspot
  • Close chat apps under proctoring
  • Same language as practice
  • Leave time for debugging questions if present

If a Swiggy invite is 3-8 weeks out, treat this hub as the map and the nested pages as the drills. Do not reread eligibility ten times. Check the JD once, then spend hours on the filter that actually rejects people.

Typical fresher CTC chatter for Swiggy sits around ₹16-22 LPA (candidate-reported - confirm the letter). Languages students mention most often: Java, C++, Python, C. Pick one and stay with it in OA and interviews.

Eligibility reminder (from student reports): Swiggy eligibility for freshers 2026 (from student reports): typically 65% or 6.5+ CGPA in 10th, 12th, and graduation; B.E./B.Tech/M.E./M.Tech/MCA in CS, IT, ECE, EE, or related; final-year students and recent grads (within ~1 year); no active backlogs. Strong DSA and delivery-systems design help after the academic gate. Verify on Swiggy Careers or your campus JD.

What you are training for: Typical Swiggy loop: Online Coding Assessment / PAI (90-120 min, 2-3 medium-hard DSA + debugging) → Technical interviews (2-3 rounds, 45-60 min: DSA, LLD/system design) → Managerial/Team Fit (~45 min) → HR/Offer (~20-30 min). End-to-end often 2-4 weeks.

Short version of the prep split: Split time roughly: DSA ~50%, system design / LLD (orders, delivery assignment) ~20%, Swiggy values / STAR stories ~20%, aptitude & communication ~10%. Drill medium-hard arrays, trees, graphs, DP; practice food-delivery architecture aloud; keep Java, C++, Python, or Go sharp.

Week 1 - pattern, not vibes. Oa pattern first: sit one untimed paper, then redo it under the real clock. Open the Swiggy previous-year sets on this site and mark which sections ate your time. Write the timing on a sticky note. That number is more useful than a 200-problem LeetCode streak you never timed.

Week 2 - the steep filter. Most Swiggy drives fail people on the first timed paper or OA. Do three timed sits this week. After each one, log every miss in a two-column note: topic and why (slow, wrong formula, bad edge case, panic). The next sit should only add problems from that log.

Week 3 - talk tracks. Technical interviews at Swiggy usually want a clean project story, one or two CS fundamentals, and (if the process has it) a behavioral or values round. Write STAR stories on paper, not in your head. Practise “Why Swiggy?” with one concrete product, lab, or business line - not a slogan.

Week 4 - mocks and logistics. Star stories + one project walkthrough recorded on your phone. If you still have energy, redo only the questions you failed in week 2.

Slice Share of weekly hours What “done” looks like
Timed papers / OA ~40% You finish a Swiggy-style sit without guessing the clock
Coding / role technical ~30% You can explain a solution out loud in your chosen language
Fundamentals / domain ~20% You can teach one OS/DBMS/networks (or domain) topic to a friend
Stories + HR ~10% Two STAR stories and a specific Why-this-company answer

If you only have 10 days, keep the same ratios and cut volume, not the timed sits.

Use this hub for the Swiggy story (eligibility, rounds, salary). Use those pages for reps. If a card 404s on your campus mirror, the explore links at the top of this page are the same destinations.

  • Collecting 12 Swiggy PDFs and never sitting one under a timer.
  • Switching languages every weekend because a senior used a different one.
  • Memorising HR answers before they can finish the OA.
  • Ignoring the company-specific quirk on this page (unique round, exam name, or role band) and preparing like a generic service-company drive.

If you do one thing after reading this: schedule three timed Swiggy papers on three different days, then interview prep on the leftovers.

If you are starting from a service-company prep base

Section titled “If you are starting from a service-company prep base”

A TCS/Infosys aptitude deck still helps the quant/logic slice of many Swiggy papers, but do not assume the same cutoff culture. Read the process section on this page once, then swap in Swiggy-specific coding or domain drills from the nested banks. Shared prep is fine; shared assumptions about rounds are not.

Days 1-3: one timed Swiggy paper each day plus error log. Days 4-6: only the topics you missed, plus 4-6 coding problems in one language. Days 7-8: project + STAR + Why Swiggy. Day 9: one more full mock. Day 10: light review and sleep. This is worse than four weeks, but it beats rereading notes the night before.

Know your project at the level of what broke and what you changed, not only the tech list on the resume. For Swiggy, interviewers often poke the same hole the OA already tested - be ready to re-solve a warm question on a shared editor or whiteboard. If you used AI to draft code while practising, you still need to type it yourself on the day.

Tracking that does not become a second job

Section titled “Tracking that does not become a second job”

A single note with date, paper name, score/time, and three misses is enough. If you cannot name your last three Swiggy mistakes, you are collecting content, not preparing.

Figures below are candidate-reported as of August 2026. Treat as bands, not offer letters.

Level Experience Total package Typical background
SDE-1 0-1 years ₹16-22 LPA Strong DSA freshers
SDE-2 2-4 years ₹24-30 LPA Systems / LLD depth
Senior SDE 5-8 years ₹40-55 LPA Ownership + leadership

Health cover, ESOPs, learning budget, meals at office, hybrid norms on many teams. Read vesting schedules carefully.

  • Willing to relocate to Bengaluru?
  • Example of customer obsession in a project?
  • Feedback you disagreed with?
  • How you handle ambiguous delivery SLAs?
  1. Split fixed vs variable vs ESOP
  2. Confirm location and hybrid
  3. Compare against Zomato/Flipkart offers same week
  4. Ask clarifying questions on email

When verbal band lands around ₹16-22 LPA, ask what is fixed vs variable, confirm joining bonus/relocation in writing, and never resign until the signed letter arrives.

Deep dive: what “delivery-aware design” means for freshers

Section titled “Deep dive: what “delivery-aware design” means for freshers”

When a technical asks you to design order assignment, they want:

  1. Actors - customer, restaurant, rider, support
  2. States - placed, accepted, preparing, assigned, picked, delivered, cancelled
  3. Matching logic - nearest rider, batching, reneges
  4. Failure modes - double assign, payment success / delivery fail
  5. Metrics - ETA accuracy, cancellation rate, rider utilization

Practice one 45-minute whiteboard. Speak in sentences. Name one alert. That is fresher-passing design at Swiggy.

Parallel prep if you are also sitting Zomato

Section titled “Parallel prep if you are also sitting Zomato”
Shared Swiggy-specific add-on
Medium-hard DSA OA Rider assignment / logistics depth
Food-tech product talk Instamart / hyperlocal angles when relevant
Values stories Customer focus with delivery metrics

One DSA error log, one LLD notebook, two Why-company stories.

  • Marksheets (10th, 12th, all semesters)
  • ID and address proof
  • One-page resume PDF
  • Internship certificates if claimed
  • SheCodes eligibility proof if applying on that track
  • How do you prevent two riders from being assigned the same order?
  • What happens if payment succeeds but the restaurant rejects?
  • How would you store ETA updates without hammering the database?
  • Your OA graph solution is O(V+E) - when does that break at city scale?

Answer out loud. Silent correctness is not enough in a 45-minute interview.

Data scientist vs SDE: do not mix prep calendars

Section titled “Data scientist vs SDE: do not mix prep calendars”

If you are primarily targeting SDE:

  • Protect PAI coding mocks as the spine
  • Add light ML curiosity only if the JD is hybrid

If you are primarily targeting Data Scientist:

  • Expect team-lead first rounds, metrics (AUC-ROC), and case studies
  • Still keep DSA warm, but do not pretend a PAI-only plan covers DS

This hub is SDE-first. Cross-read interview experience for role-specific notes.

  1. Customer focus - you fixed something because a user/restaurant suffered
  2. Ownership - you drove a change without being told every step
  3. Conflict - you disagreed, resolved with data, shipped

Each story needs situation, action, and a number. “We improved things” is not a story.

Weekend Block A (2h) Block B (2h)
1 Arrays mock Error log rewrite
2 Trees + debugging Delivery sketch
3 Full PAI simulation Peer LLD
4 Graphs deep Values STAR draft
5 DP deep Combined DSA+LLD mock
6 Weak topics only Why Swiggy? polish
7 Light mixed mock Project rehearsal
8 Error-log skim Sleep priority

If you miss a weekend, skip ahead - do not restart week 1 forever.

When the OA includes broken code:

  1. Read the intended contract (input/output) before editing
  2. Reproduce the failing case mentally
  3. Fix the smallest correct change
  4. Re-check edges (empty, single, large)

Random rewrites burn time. Structured debugging wins PAI marks.

Freshers often join squads where code review is strict and on-call culture exists on some teams. Expect smaller PRs, tests, and logistics domain learning on the job. Interviews tested general engineering - you will learn Swiggy-specific systems after joining.

Students comparing Swiggy with Zomato and Blinkit should remember:

  • Title and level move bands more than brand slogans
  • ESOP detail needs the offer PDF
  • Bengaluru lifestyle costs are personal - not only CTC math

Negotiate from your letter, not WhatsApp forwards.

  • Laptop charged; hotspot tested
  • One easy warm-up problem only
  • Two STAR stories once each
  • City preference sentence ready
  • Sleep by a fixed time

Swiggy loops reward steady students. Cramming a new graph pattern at 2 a.m. rarely moves the offer needle.

Hiring shape 2026

Engineering hiring continues across food delivery, Instamart, and platform teams.

Process notes

PAI/OA remains coding-heavy. Combined DSA+LLD sittings appear in some technical notes.

Company context

Bengaluru remains primary. Confirm live openings on Careers before assuming campus volume.

Prep implication

Double down on timed medium-hard DSA, LLD with concurrency, and values stories.

Can I download Swiggy placement papers PDF?

Yes. Free Swiggy placement papers PDF with previous-year style DSA, debugging, and interview practice are on placementpapers.app - no registration. Start with the 2026 PDF and year pages.

What is the Swiggy placement process?

Typical loop: OA/PAI (90-120 min) → 2-3 technicals (DSA/LLD/design) → Managerial → HR. End-to-end often 2-4 weeks.

How many rounds are there in Swiggy interview?

About 4-5 stages for many SDE freshers. Some levels combine DSA + LLD in one sitting.

What is the PAI test in Swiggy?

Campus jargon for Swiggy’s first-round proctored online assessment - usually timed DSA (+ debugging), sometimes with aptitude. Not a separate public exam brand. Confirm your invite.

What is Swiggy online assessment exam pattern?

Usually 90-120 minutes, 2-3 medium-hard DSA plus debugging on HackerRank/Swiggy’s tool. Clear rates often ~10-15%.

Does Swiggy combine DSA and LLD in one round?

Yes in some SDE-2 / later technical notes. Fresher loops may split them. Practice both shapes.

What is Swiggy SheCodes?

A diversity/hiring pathway when listed on campus notices. Technical bar remains coding + interviews.

What questions are asked in Swiggy technical interview?

Live DSA; delivery/order system design or LLD; project deep-dives; values/ownership stories. Edge cases matter.

What is Swiggy eligibility criteria for freshers 2026?

From student reports: 65% or 6.5+ CGPA when listed; B.E./B.Tech/MCA in CS/IT/ECE/EE/related; final-year or recent grads; no active backlogs. Verify your JD.

What programming languages are allowed in Swiggy?

Java, C++, Python, or Go. Java and Python are most common. Pick one language you can debug live.

Are backlogs allowed at Swiggy?

Active backlogs are the usual blocker. Cleared historical backlogs are generally fine if the notice allows.

What is Swiggy salary for freshers?

Candidate-reported: SDE-1 ~₹16-22 LPA; SDE-2 ~₹24-30 LPA; Senior ~₹40-55 LPA. Confirm written offers.

Swiggy vs Zomato vs Blinkit - which is better?

Swiggy - food delivery + hyperlocal logistics. Zomato - discovery + delivery. Blinkit - quick commerce. Overlapping mid-teens to low-20s LPA chatter for strong freshers - choose on domain and team.

How to prepare for Swiggy placement?

Rough split: DSA 50%, design/LLD 20%, values/STAR 20%, aptitude/communication 10%. Weekly PAI simulations + aloud LLD beat passive videos.

Any pro tip for Swiggy placement preparation?

Consistent timed DSA plus real ownership stories. Practice delivery design and edge cases; Swiggy rewards completeness.

Is Bengaluru / hybrid work required?

Bengaluru is the primary engineering hub; many teams use hybrid norms. Answer relocation questions honestly.

Does Swiggy ask aptitude in every OA?

Most SDE reports emphasize coding-heavy PAI/OAs. Some notices add aptitude - read yours. Keep light warm-up via the mock quiz.

Is Swiggy Data Scientist hiring the same as SDE?

No. DS loops can be top-down with team leads, ML metrics, and case studies. This hub focuses on SDE/PAI paths - still useful for shared DSA warmth, but add ML/case prep for DS roles.

A Swiggy SDE-2 candidate wrote that after clearing the OA, “I received a message that I was shortlisted for Round 1, which was a combined DSA + LLD interview,” packing stock/sort-colors style coding plus a parking-lot design with concurrency in the same sitting (Medium). Expect some technicals to blend speed coding and design clarity rather than splitting them cleanly.

A Data Scientist 1 candidate last updated December 2024 on GeeksforGeeks entered via employee referral and noted that “Swiggy follows a top-down approach in its interview process,” starting with the Data Science Team Lead on GBT residuals, AUC-ROC, and similarity metrics. Round 2 was a CV deep-dive plus an ad-matching recommendation case study; unlike some peers who faced a third round, they received an offer after Round 2.

  1. Separate OA misses from LLD/values misses
  2. Run three timed PAI mocks and two LLD talks
  3. Rebuild STAR stories with numbers
  4. Re-apply only after those reps
Minute Action
0-5 Skim all problems; pick order
5-35 Problem 1 to full AC with edges
35-65 Problem 2; brute force + note if needed
65-80 Debugging task or problem 3 attempt
80-90 Re-read submissions; fix silly bugs

Run this template twice a week in peak season. After each run, spend 20 minutes on LLD and 10 minutes on one STAR story. That single habit covers most of what Swiggy actually filters for on fresher SDE paths.

Weak: “I love food and the brand is cool.”
Stronger: “I want to build systems where a late assignment decision shows up as a cold meal.” I like logistics problems that look simple until concurrency and failure retries show up.”

Write your version in your own words. Memorized LinkedIn lines are obvious in managerial rounds.

If you clear HR:

  • Read ESOP vesting and location clauses carefully
  • Confirm hybrid expectations with the hiring manager if possible
  • Do not resign from another offer until the written Swiggy letter lands
  • Background verification expects consistent CGPA and employment dates

Excitement is fine. Process discipline still matters at high-growth consumer tech companies. Keep every email thread; verbal numbers are not offer letters. Compare Zomato or Flipkart offers on the same calendar week using written PDFs only, every single time without exception today.

Different colleges label the same first filter as PAI, OA, online coding, or hackathon shortlist. Ignore the brand name on the email subject. Open the sections list, map it to timed DSA practice on placementpapers.app, and run your mock template the same week. Naming confusion is not a prep strategy for anyone targeting Swiggy SDE roles this season at all right now this cycle.

Referral etiquette that does not waste goodwill

Section titled “Referral etiquette that does not waste goodwill”

If an employee refers you:

  1. Send a one-page resume and the exact role link
  2. Confirm you already meet the printed CGPA/backlog lines
  3. Do not ask them to “push HR” after a failed OA
  4. Share a short thank-you whether you clear or not

Referrals improve visibility. They do not rewrite hidden tests. Treat the favor as a door open, not a guaranteed offer letter waiting in your inbox already today.

Keep building. Consistency beats last-minute panic every time for Swiggy.

Zomato · Paytm · Flipkart · PhonePe · Meesho · Blinkit