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Software Engineering, MTS (Backend)

Salesforce

Full time
Location
Hyderabad
Work mode
Not stated
Salary
₹11L – ₹21L a year estimatetypical for IT Jobs in Hyderabad, 70 posts
Posted 1 day ago

You apply on Salesforce's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • Distributed Systems Software Engineer to join our Big Data infrastructure team.
  • You'll contribute to the design and development of reliable, efficient data infrastructure that supports scalable data processing and…
  • Build Data Processing & Analytics Services
Must-have skills
AWSAirflowAnsibleDockerGoogle Cloud Platform (GCP)Hadoop

How well do your skills match this job?

Sign in to see your fit: the skills, experience and location this job asks for, checked against your profile.

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Role Description


We're looking for a Distributed Systems Software Engineer to join our Big Data infrastructure team. You'll contribute to the design and development of reliable, efficient data infrastructure that supports scalable data processing and analytics for internal and external customers.

Your Impact

  • Build Data Processing & Analytics Services - Develop scalable services using our big data stack (Spark, Trino, Airflow, Kafka) to support real-time and batch data workflows.
  • Contribute to Distributed Systems - Participate in the design, development, and operation of resilient distributed systems managing thousands of compute nodes across multiple data centers.
  • Troubleshoot and Innovate - Resolve technical challenges and drive innovations that enhance system resilience, availability, and performance.
  • Service Ownership & Maintenance - Contribute to the full service lifecycle, balancing live-site reliability, feature development, and technical debt reduction.
  • On-Call Support - Join the team's on-call rotation to keep critical services operational and highly available.

Required Qualifications

  • .Cloud Environments - Proficiency in AWS, GCP, or Azure; containerization (Docker, Kubernetes); and infrastructure-as-code (Terraform, Ansible).
  • Big Data Technologies - Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems.
  • Programming - Strong skills in Python, Java, Scala, or other languages relevant to distributed systems.
  • Distributed Systems Knowledge - Solid understanding of distributed computing principles, data partitioning, fault tolerance, and performance tuning.
  • Analytical & Problem-Solving Skills - Ability to troubleshoot system issues and optimize for efficiency and scale.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Key skills

Required

AWSAirflowAnsibleDockerGoogle Cloud Platform (GCP)HadoopJavaKafkaKubernetesMicrosoft AzurePythonSQLSalesforceScalaTerraformTrino

Soft skills

Problem Solving

About company

Salesforce brings companies and customers together in the number one Customer Relationship Management platform.

Tags

Backend DeveloperIT Jobs

Job market insights

320active AWS jobs in Hyderabad
36active Airflow jobs in Hyderabad
37active Ansible jobs in Hyderabad
₹11L – ₹21L advertised yearly salary for IT Jobs in Hyderabad (middle half of 70 posts that show a salary; median ₹16L)
99 more open jobs at Salesforce

Most IT Jobs posts in Hyderabad ask for 3–6 years of experience (43% of 967 that say).

Hiring most for IT Jobs in Hyderabad

  • Salesforce41 open jobs
  • JPMorgan Chase27 open jobs
  • Trigent Software Private Limited24 open jobs

Jobs asking for AWS in Hyderabad also ask for

  • Python55%
  • CI/CD50%
  • Microsoft Azure47%
  • Google Cloud Platform (GCP)35%
  • Java33%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Software Engineering, MTS (Backend) job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹21L a year (typical for IT Jobs in Hyderabad, 70 posts).

Where is this job based?

In Hyderabad.

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Salesforce's website. CoreHRx takes you there after you sign in.

This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.

Questions you may be asked

  1. What is the difference between an AWS Region and an Availability Zone?
  2. Explain the AWS shared responsibility model.
  3. What is Amazon EC2, and how do you read an instance type name like m7g.large?
  4. What is Amazon S3, and what are its main storage classes?
Practise all 60 questions Take the free AWS mock test

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