Job Overview
Salesforce has released the Software Engineering LMTS/SMTS – Big Data Infrastructure job notification for 2026. This is a full-time opportunity based in Hyderabad, India, with an office-flexible working model. The role is targeted at highly experienced software engineers who specialize in distributed systems and large-scale data platforms.
This position focuses on building and operating scalable, resilient big data infrastructure that supports real-time and batch analytics workloads. The role is part of Salesforce’s Software Engineering function and plays a critical role in enabling data-driven capabilities for both internal and external customers.
The application window is open, and the last date to apply is 31 January 2026.
Organization Details
Salesforce is a global leader in AI-powered CRM solutions, combining artificial intelligence, data, and customer relationship management into a unified platform. The company is known for driving innovation while maintaining strong core values centered around trust, equality, sustainability, and customer success.
Salesforce operates across multiple industries and empowers businesses to transform how they connect with customers. The organization promotes continuous learning, leadership development, and community impact through its 1:1:1 philanthropic model.
With a strong engineering culture, Salesforce provides opportunities to work on large-scale, mission-critical systems that operate across global data centers and cloud environments.
Eligibility Criteria
Candidates applying for this role must meet the specified educational and professional experience requirements. Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
The role requires a minimum of 8 years of experience in distributed systems, big data platforms, or similar engineering roles. Candidates must have strong hands-on experience working with big data technologies such as Hadoop, Spark, Trino or similar SQL engines, Airflow, Kafka, and related ecosystems.
Applicants should be proficient in at least one programming language relevant to distributed systems, such as Python, Java, or Scala. Experience with cloud platforms like AWS, Google Cloud Platform, or Microsoft Azure is required, along with containerization technologies such as Docker and Kubernetes.
Candidates must also have experience with infrastructure-as-code tools such as Terraform or Ansible and a deep understanding of distributed computing concepts, including fault tolerance, data partitioning, scalability, and performance tuning.
Age Limit
Salesforce has not specified any age limit for this position. Candidates are advised to apply based on their qualifications and relevant experience.
Selection Process
The selection process details have not been explicitly mentioned in the job notification. The hiring process may involve application screening, technical interviews, system design discussions, and evaluations based on Salesforce’s internal recruitment standards.
Salesforce reserves the right to define and modify the selection stages as per business and project requirements.
Salary
The salary details for the Software Engineering LMTS/SMTS – Big Data Infra role have not been disclosed. Compensation will be offered according to Salesforce’s internal pay structure and industry standards, based on experience, role level, and skill set.
Important Dates
Job Posting Date: Posted 4 days ago
Last Date to Apply: 31 January 2026
Candidates are encouraged to apply well before the deadline, as Salesforce recommends applying to a maximum of three roles within a 12-month period.
Application Fee
There is no information regarding any application fee. Candidates should not make any payments to third parties for job applications.
