DevOps Imanginary stack
create resume based on below stck which is better for logistic/ecommerce company and apply send mail to hr/career
scope to apply
Shiprocket
Gurugram / New Delhi
2012 (KartRocket origins; Shiprocket product ~2017)
e-commerce shipping aggregator, fulfillment, seller tools
Allcargo / Allcargo Gati
Mumbai / Hyderabad
— (Allcargo founded earlier; Gati 1989)
Multimodal transport, LCL, CFS, ICD, express (Allcargo owns Gati)
CONCOR (Container Corporation of India)
New Delhi
1988
Container transport, ICDs, intermodal terminals (PSU)
Gati / Allcargo Gati
Hyderabad
1989
Surface & air express, warehousing, e-commerce logistics
Apollo LogiSolutions (ALS)
Gurugram
2009
Freight forwarding, contract logistics, bonded warehousing
Mahindra Logistics
Mumbai
—
3PL, warehousing, express (Rivigo integration / partnerships)
VRL Logistics (VRL Group)
Hubballi (Karnataka)
1976
Road transport, freight & passenger (large trucking fleet)
TCI Express (TCI Group)
Gurugram / pan-India
1958 (TCI)
Express cargo, e-commerce deliveries, supply-chain solutions
ColdStar Logistics
Visakhapatnam / pan-India
—
Cold-chain / temperature-controlled warehousing & distribution
Rivigo
Gurgaon
2014
Relay trucking, tech-enabled long-haul logistics; (now associated with Mahindra Logistics in some contexts)
why uour great fit
Pavan, your stack is perfectly aligned with what logistics, e-commerce, and shipping companies in India need 🚀
Let’s break it down:
🎯 Why Your Stack Fits Logistics/E-commerce
These industries are data-heavy, distributed, and automation-focused, exactly where your skills shine.
Frontend (React) → Used for customer portals, order tracking dashboards, admin panels. ✔ Logistics/e-commerce apps (tracking, seller dashboards, courier apps) rely on React.
Backend (Python, Node.js, Rust) → Power microservices for order management, shipping APIs, routing engines. ✔ Rust is rare but gives you an edge (performance-critical routing, real-time tracking).
Databases (PostgreSQL, ClickHouse) → Core for order storage, analytics, and real-time data pipelines. ✔ ClickHouse is widely used in logistics for fast queries on millions of events.
Airbyte + Superset → Perfect for ETL and analytics dashboards (customer insights, delivery SLA monitoring).
CI/CD (GitHub Actions + ArgoCD) → Modern pipelines used by Delhivery, XpressBees, Flipkart, Amazon India.
Kubernetes + HPA + Karpenter → Scalability for peak-season traffic (Diwali, sales events, festive rush).
Monitoring (Prometheus, Grafana, Loki, CloudWatch, Alertmanager) → Ensures system reliability (uptime, SLA, order success rate).
Cloud (AWS, Lambda, Terraform, Ansible, Boto3) → Standard infra for e-commerce & logistics SaaS products. ✔ Event-driven with Lambda is perfect for order lifecycle events, payment notifications, fraud detection.
Security (Snyk for scanning) → Needed for compliance (PCI, GDPR, ISO audits in logistics/e-commerce).
AI-driven Decisions (Best courier partner, cheapest option) → This is exactly what logistics companies want! (courier optimization, fraud detection, delivery-time prediction).
🏢 Companies in India Where You Fit
Logistics Tech
Delhivery
XpressBees (Pune HQ – great match!)
Ecom Express
Shiprocket
Porter
ElasticRun (Bangalore/Pune – B2B logistics)
E-commerce Giants
Flipkart (Ekart)
Amazon India
Myntra
Meesho
Snapdeal
SaaS / Supply Chain Platforms
Locus.sh (AI-driven logistics routing)
FarEye (logistics orchestration)
Unicommerce (e-commerce enablement)
Ninjacart (farm-to-store logistics)
✅ Answer:
Yes, you can absolutely apply to logistics, e-commerce, and order/shipping companies in India with your stack. In fact, your combination of DevOps, SRE, Kubernetes, data engineering, and AI decision-making is exactly what these companies are building for scalable, intelligent logistics systems.
👉 Do you want me to make you a targeted CV/resume template that positions you for these roles (e.g., “SRE/DevOps for logistics/e-commerce scale systems”)? That way your resume speaks directly to Delhivery, XpressBees, Flipkart, Shiprocket HRs.
companies to apply
Nice — I put together a curated, ready-to-apply list of Indian logistics / e-commerce / order-shipping companies where your stack (React, Python/Node/Rust, Postgres, ClickHouse, Airbyte, GitHub Actions, ArgoCD, Kubernetes + HPA/Karpenter, Docker, Snyk, Prometheus/Grafana/Loki, Superset, AWS + Lambda, Terraform/Ansible/boto3, tracing/logs/alerts, data/AI decisioning etc.) is a strong fit.
Notes before the table
I focused on logistics operators, e-commerce marketplaces, 3PLs/fulfilment platforms and logistics-SaaS (route optimisation, TMS/WMS, marketplace fulfilment) — these commonly hire DevOps/SRE, Platform, Infra, Data/Analytics and Cloud/ML infra engineers.
Employee counts are approximate and pulled from public sources (LinkedIn / PitchBook / Tracxn / company sites / filings). I cited the source(s) for each row — click the citation markers to inspect the source. Counts can vary by source/date; treat them as a guide.
“HQ / primary IT location” shows the main headquarters city; many of these companies have engineering offices in Bengaluru, Pune, Gurugram, Hyderabad, Chennai and Mumbai. If you want a filtered list of companies that explicitly have Pune IT offices, I can filter and export it.
Short next steps I can do for you: export this as CSV, create tailored resume bullets for SRE/Platform roles, or prepare a cover-message for 10 target companies.
Here’s the table (company — HQ city — approx employees — good-fit roles / why your stack fits — source):
Delhivery
Gurugram / Gurgaon
≈63,700 (approx.)
Big logistics tech platform — heavy on Kubernetes, data infra, SRE, infra automation, data pipelines & ML routing — good for SRE/Platform, DataEng, Backend.
XpressBees
Pune
≈5k–30k (sources vary)
Large e-commerce logistics; platform & fulfilment technology, good fit for platform/SRE, infra automation, DevOps.
Shiprocket
Gurugram / New Delhi
≈900–2.6k (sources vary ~1k–2.6k)
Shiptech / fulfillment SaaS — strong match for cloud infra, Kubernetes, CI/CD, SRE, data pipelines.
Ecom Express
Gurugram
≈9k–16k
Tech-enabled courier/last-mile company — needs infra, platform, data/analytics, SRE.
(Growjo)
Ekart (Flipkart Logistics)
Bengaluru / Bengaluru area
≈10k+ (Flipkart group large — Ekart is Flipkart’s logistics arm)
Massive e-commerce logistics operations — heavy infra, platform engineering, SRE, data warehouse/ClickHouse use cases.
(Tracxn)
Amazon India (logistics + retail)
Multiple (large presence: Hyderabad, Bengaluru, Chennai)
100,000+ in India (Amazon global ~1.5M)
One of the largest employers for SRE/Platform/Infra, data & ML infra, serverless + large-scale Kubernetes-like services.
Blue Dart (DHL)
Mumbai
≈11k–13k
Traditional courier with large tech/ops teams — fit for infra/SRE, monitoring, warehouse automation.
DTDC
Bengaluru
≈11k–13k (sources vary)
Large courier network — platform & operations teams; good for infra, automation and monitoring roles.
Rivigo
Gurugram
≈2.5k
Trucking / express logistics with tech focus — route optimisation, platform, SRE and data roles.
Mahindra Logistics
Mumbai
≈30k+ workforce
Large integrated logistics provider; hires platform, infra, automation teams (Terraform/Ansible) and SRE.
Gati / Allcargo Gati
Hyderabad (Gati) / part of Allcargo group (Mumbai)
Gati ≈3k–5.6k ; Allcargo ≈500–1k (varies)
Express & freight players — platform & ops tech, SRE/infra and integrations.
Allcargo Logistics
Mumbai
≈500–1k
Freight & logistics group — tech teams for port/ICD/warehouse automation, infra roles.
Safexpress
New Delhi area
≈6k (varies by source)
Supply-chain & express logistics — warehousing, data & platform teams.
(6sense)
VRL Logistics
Hubballi / Karnataka
≈10k+ (varies)
Large logistics operator — ops + technology teams (good for infra/automation).
TCI Express
Gurugram / Delhi NCR
≈5k–10k
Express logistics; hires platform, automation and monitoring engineers.
Gateway Distriparks
Mumbai / JNPT area
≈500–1k
Container & logistics infrastructure — IT for terminals, automation, infra.
Snowman Logistics (cold chain)
Mumbai / Gurugram
≈1k–6k (varies)
Cold-chain & temperature-controlled logistics — data, infra for IoT/monitoring, SRE roles.
ColdStar Logistics
Mumbai / expanding nationwide
≈200–300 (fast-growing)
Cold-chain tech startup with AI/ML route planning — good fit for infra, data pipelines & monitoring.
(Tracxn)
Locus (locus.sh)
Bengaluru
≈1k–2k
Route optimisation & enterprise logistics SaaS — heavy on data, algorithms, infra and SRE.
(Tracxn)
FarEye
Gurugram / Delhi NCR
≈1k–2k
Delivery orchestration SaaS — fits data/warehouse, infra, SaaS SRE and cloud automation.
(FarEye)
Unicommerce
Bengaluru
≈1k–3k
E-commerce supply-chain SaaS (order/fulfilment) — backend, infra, SRE & data roles.
(Tracxn)
ElasticRun
Bengaluru / Mumbai
≈1k–3k
Retail distribution tech — platform + infra + data engineering.
BlackBuck
Bengaluru
≈2k–6k
Trucking marketplace with big data & fleet telemetry — strong need for SRE/Platform, infra & real-time data engineers.
LoadShare (LoadShare Networks)
Mumbai / Bengaluru
≈500–2k
Logistics network & tech — platform & DevOps hiring.
(Tracxn)
Shadowfax
Bengaluru / multiple
≈2k–5k
Last-mile tech & marketplace — platform, infra, monitoring, and data roles.
Blowhorn
Bengaluru / Mumbai
≈500–1.5k
On-demand logistics & intracity fulfilment — platform & infra engineering opportunities.
Ninjacart
Bengaluru
≈1k–3k
Agri-supply chain & marketplace — data, backend, infra and cloud roles.
(Tracxn)
Shipyaari
Noida / Delhi NCR
≈200–800
Shipping & courier aggregation tech — backend, infra & platform SRE roles.
(Tracxn)
WareIQ
Gurugram
≈200–1k
Fulfilment / warehousing SaaS — infra, SRE, CI/CD and data pipelines fit well.
(Tracxn)
Flipkart (marketplace + Ekart)
Bengaluru
Flipkart group ≈20k–40k+
Big e-commerce platform — huge hiring for SRE, infra, data engineering and AI decisioning.
Myntra
Bengaluru
≈5k–10k (part of Flipkart group)
Fashion e-commerce with microservices, infra & SRE positions; good fit for frontend + infra pairing.
(6sense)
Meesho
Bengaluru
≈5k–20k (growing fast)
Marketplace with its own logistics (Valmo) — backend, infra, SRE, data & AI roles.
(TrueUp)
BigBasket (Tata)
Bengaluru
≈15k–20k (varies)
Grocery + fulfilment logistics — strong infra, warehouse automation, SRE & data needs.
(Tracxn)
Reliance Retail / JioMart
Mumbai / pan-India
100k+ across retail group
Massive retail + fulfilment operations — large cloud, infra, data and automation teams.
(If you want this as CSV/Excel I’ll export it next — say “export CSV” and I’ll produce a downloadable file.)
Quick answers to things you asked earlier (short):
Did I include Shiprocket? — Yes (row: Shiprocket). (Shiprocket)
Do these companies hire DevOps / SRE? — Yes: most of the companies in this list actively hire DevOps/SRE/Platform engineers (representative career pages: Delhivery, Amazon India, Flipkart, Shiprocket show open infra/platform roles). Example career pages: Delhivery / Amazon Jobs / Flipkart jobs / Shiprocket careers. (Delhivery Website)
Would you like me to: • Export this table as CSV (so you can import into your job tracker)? • Filter it to companies that explicitly list Pune as an IT/engineering office? • Generate 10 tailored SRE/Platform resume bullets from your stack for applying (one-click copy for LinkedIn / email)?
Pick one and I’ll produce it right away.
Good Move Logistics — IIT Madras spin-off
Chennai
App-style intra-city freight pooling with e-mini trucks and expanding SaaS strategy—strong for Kubernetes, infra, AI/logistics. (The Times of India)
Shipsy
Gurugram
SaaS smart logistics management (shipment tracking, real-time analytics)—great fit for CI/CD, cloud infra, data pipelines, SRE. (IndiaAI)
QikPod
Bengaluru
Smart locker last-mile delivery—good match for backend, infra, IoT, DevOps. (The Indian Wire)
Fleetx
Gurugram
Logistics SaaS for supply chain visibility and optimization—strong for data pipelines, infra, cloud automation. (The Economic Times)
Celcius Logistics
(Pan-India cold chain)
Rising cold-chain startup (₹250 Cr funded mid-2025)—ideal for monitoring, infra, data/IoT pipelines. (Movers Voice)
tree structure
source code tree
login
home
orders - which rect file connected o this page and data get using which api endpoint
filters
inventary
figma - to build blueprint/design by BA saurabh
github for version control
frontend is in react
bckend is python and nodejs and rust
database is postgresql
clickhouse as data warehouse
airbyte for data ppeline
airbyte work
self deployed and just add source dest and schedule sync pipeline
convert shopify raw to to postgres
convert postgres to clickhouse for fater retrival
github action for CI
github work
ci - checkout, buiild, scan , push and update manifest with tag argo watch that manifest and deploy new version
with cd
adding github action runner like docker compose server
other automation tasks for gitops
Argocd for CD
Kubernetes for deployment
kuberneets works
performing scheduled cluster upgrades
deploying database as statefulsets
apps and api as depoyment
loging agent as daemonsets
settign HPA for scallong
karpeneter for node scalling for pending pods
setting probes
security access for various purpose
setting ingress resources for routing
service account for giving pod to aws resources access eg access to s3 bucket to store data
create role with s3full acess add role in service account in annotation and attach service account to pod
monitor controllers
helm deployments
clickhouse
superset
argocd
karpenter
prom, grafana
api gateway
HPA nad karpenter for scalling
karpenter work
deployed karpenter controller using helm
nodeclass - which to provision - ami images , securiy group, subnet
nodepool - how to provision - instance type, capacity - spot, arch,
controller logs - to check which new ec2 provision - loki
controller event at / metrics by default available - check uisng prometheus and alert for event when new vm provision using alert manager
docker for containerizing app and docker compose for ocal testing
docker work
minimize docker images sie for faster boot time and relase process fast
multi stage build
use bith cmd and ntrypoint combined
fixed executable (like python) flexibility to pass different arguments or files when running the container, you combine ENTRYPOINT and CMD.
Fixed executable
ENTRYPOINT ["python"]
Default argument (can be overridden)
CMD ["app.py"]
docker compose for local testing
custom bridge network to allow service to connect via nname
snyk for container scanning
docker image scanning work
integrate add snyk action in ci fail pipeline for critical vulneraility
nodejs package.json dependencies scanning
dockerfile scanning
alert for crtical vulnerability
show vulnerability in Grafana
centralized dashboard
docker volume for persistent storage for database
rdis for caching for low latency
superset for analytics
superset works
deploy using helm
alert and send report whn condition match
show data like orders and KPI and insights to take actions
intergate various data source
eg. clickhouse, postgres
embedd dashboards in react app
promethesu, grafana and loki for monitoeirng
Grafana work
centalized dahsbaord for monitoring
k8s cluster monitoring
system metrics for servers
logs for apps
traces and sla for client
container scanning vulnerability
github action ci and argocd logs
events monitiroing
airbute pipeline sync
kaprnter scalling events
aws cloud
cloud work
vpc gor networking
eks for kubernetes
elb for load balancing
ebs for persistent storag
cloudwatch for monitoring
aws lambda for python, node event driven task
sg for access
rds for postgrsql
alb and asg
ec2 servers
s3 for backup
i am for access
route 53 for dns and cloudfront for cdn / cloudflare
acm for ssl
ses sns for notification
aws lambda fr event driven
cloudwatch, grafana alert, aletrmnager for alerting
tracing, logs, system metrics
terraform, ansible, python boto3 - for automation
Ai for descision over data
eg best qurier partner as per order location and cheapest option to deliver
terraform ansible powershell bash python for other automation routine task
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