Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Fidelity International offers investment solutions and retirement expertise to institutions, individuals and their advisers around the world.

Tech stack

Technologies named in job postings at Fidelity International over the last 12 months, by layer, with the share of postings for each.
Technologies in use
24
Postings analysed
3
Stack modernity
72/100
Languages
Python
SQL
PowerShell
Databases
Snowflake
Cloud & platforms
AWS
Azure
Azure DevOps
GCP
Sign in to see how your skills match this stack Sign In
Full Fidelity International tech stack 24 technologies · by team · pay by technology · changes · similar stacks

Growth

Hiring Momentum
39/100
Slowing
Open positions
2
0 opened / 1 closed in 30 days
Median time-to-fill
60 days
faster than 24% of the market
Hiring Dynamics 0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
33% ▼
Security
33% ▲
Analytics
33% ▼
Activity Timeline
New location: Gurgaon Sep 2026
Added Snowflake to stack Sep 2026
Added Power BI to stack Sep 2026
Added Machine Learning to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
Bengaluru
Loading the map
Headquarters Builds here Office with open vacancies Tap a pin for the office
Bengaluru India
2 open roles 2 posted in 90 days 100% engineering
hires for Security, Analytics
seen since Jul 2026
Gurgaon India
1 open roles 1 posted in 90 days 100% engineering
hires for Data Science
seen since Aug 2026

Jobs

≈ $25k – $59k per year (Estimated) • In office • 9+ years exp • Bengaluru
Python
PowerShell
Terraform
GCP
Azure DevOps
GitHub Actions
CloudFormation
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
Bicep
IAM
Cybersecurity
Prisma Cloud
Microsoft Defender
Wiz
Least Privilege
Threat Modeling
Microsoft Defender for Cloud
SIEM
Apply
≈ $21k – $43k per year (Estimated) • In office • 5+ years exp • Gurgaon
Python
SQL
Snowflake
AI/ML
Machine Learning
DevOps
AWS
Analytics
Power BI
Apply