Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Salesforce

Compare

4.1

based on 815 Reviews

106 Salesforce Jobs

Principal Software Engineer / PMTS- Backend

Salesforce

4.1

based on 815 Reviews

12-15 years

Hyderabad / Secunderabad

1 vacancy

Principal Software Engineer / PMTS- Backend

Salesforce

posted 16d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Salesforce Python SQL Automation Testing Machine Learning

+ 2 more

Job Description

This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The technology stack includes Python, Airflow, K8S, Spark, Presto, Airflow, Postgres, and microservices within cloud native environments.

We are looking for a Principal Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to improve availability, but also work with multiple service owners to help and guide delivering on those optimizations.

Your Responsibilities:

Drive capacity visibility and automation improvements across multiple services at Salesforce
Lead software development being delivered by multiple engineers
Lead and participate in requirement gathering, design, and development of complex systems
Independently design and deliver analytics tools and frameworks for diverse users, including other engineers, data scientists, and domain experts
Mentor team members in all aspects of the software development lifecycle
Master our code base, then improve it
Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate

Required Skills:

Bachelors degree in Computer Science and 12+ years of experience, or equivalent industry experience
Deep knowledge of two or more functional or scripting programming languages: Java, Python, Scala, or equivalent
Extensive experience with distributed services (REST, rpc or similar) and relational databases (Postgres or similar)
Experience with orchestration and workflow management tools, i.e. Airflow
Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.
Experience communicating technical vision, mentoring junior engineers and managing projects.

Desired Skills/Experience:
Specialization in one of the following areas:

Experience in distributed SQL analytics (Spark/Presto) or frontend/visualization development (Tableau, JavaScript)
Understanding of Data Science/Machine Learning concepts, experience working with Data Scientists and operating ML models in production services
Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP

Employment Type: Full Time, Permanent

Read full job description