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Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))

Salesforce

Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))

Salesforce logo

Salesforce

full-time

Posted: October 31, 2025

Number of Vacancies: 1

Job Description

Description About SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good– you’ve come to the right place.Role DescriptionWe are seeking an experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects. You will play a critical role in developing reliable and efficient data infrastructure that supports scalable data processing and analytics for both internal and external customers.Your ImpactBuild Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.On-Call Support: Participate in the team’s on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.Required QualificationsEducation and Experience: Bachelor’s or Master’s in Computer Science, Engineering, or a related field with 8+ years of experience in distributed systems, big data, or similar roles.Experience with Cloud Environments: Proficiency in cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems.Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems.Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning.Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale.BENEFITS & PERKSComprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!World-class enablement and on-demand training with Trailhead.comExposure to executive thought leaders and regular 1:1 coaching with leadershipVolunteer opportunities and participation in our 1:1:1 model for giving back to the communityFor more details, visit https://www.salesforcebenefits.com/

Locations

  • Hyderabad, India

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

35,000,000 - 65,000,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in cloud platforms (AWS, GCP, or Azure)intermediate
  • containerization (Docker, Kubernetes)intermediate
  • infrastructure-as-code (Terraform, Ansible)intermediate
  • Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafkaintermediate
  • Strong skills in Python, Java, Scalaintermediate
  • knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuningintermediate
  • troubleshoot complex system issuesintermediate

Required Qualifications

  • Education and Experience: Bachelor’s or Master’s in Computer Science, Engineering, or a related field with 8+ years of experience in distributed systems, big data, or similar roles. (experience, 8 years)
  • Experience with Cloud Environments: Proficiency in cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible). (experience)
  • Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems. (experience)
  • Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems. (experience)
  • Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning. (experience)
  • Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale. (experience)

Responsibilities

  • Build Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.
  • Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.
  • Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.
  • Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.
  • On-Call Support: Participate in the team’s on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.
  • Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.

Benefits

  • general: Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
  • general: World-class enablement and on-demand training with Trailhead.com
  • general: Exposure to executive thought leaders and regular 1:1 coaching with leadership
  • general: Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

Target Your Resume for "Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))" , Salesforce

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Salesforce logo

Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))

Salesforce

Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))

Salesforce logo

Salesforce

full-time

Posted: October 31, 2025

Number of Vacancies: 1

Job Description

Description About SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good– you’ve come to the right place.Role DescriptionWe are seeking an experienced Distributed Systems Software Engineer to lead our Big Data infrastructure projects. You will play a critical role in developing reliable and efficient data infrastructure that supports scalable data processing and analytics for both internal and external customers.Your ImpactBuild Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.On-Call Support: Participate in the team’s on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.Required QualificationsEducation and Experience: Bachelor’s or Master’s in Computer Science, Engineering, or a related field with 8+ years of experience in distributed systems, big data, or similar roles.Experience with Cloud Environments: Proficiency in cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems.Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems.Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning.Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale.BENEFITS & PERKSComprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!World-class enablement and on-demand training with Trailhead.comExposure to executive thought leaders and regular 1:1 coaching with leadershipVolunteer opportunities and participation in our 1:1:1 model for giving back to the communityFor more details, visit https://www.salesforcebenefits.com/

Locations

  • Hyderabad, India

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

35,000,000 - 65,000,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in cloud platforms (AWS, GCP, or Azure)intermediate
  • containerization (Docker, Kubernetes)intermediate
  • infrastructure-as-code (Terraform, Ansible)intermediate
  • Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafkaintermediate
  • Strong skills in Python, Java, Scalaintermediate
  • knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuningintermediate
  • troubleshoot complex system issuesintermediate

Required Qualifications

  • Education and Experience: Bachelor’s or Master’s in Computer Science, Engineering, or a related field with 8+ years of experience in distributed systems, big data, or similar roles. (experience, 8 years)
  • Experience with Cloud Environments: Proficiency in cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible). (experience)
  • Expertise in Big Data Technologies: Hands-on experience with Hadoop, Spark, Trino (or similar SQL query engines), Airflow, Kafka, and related ecosystems. (experience)
  • Proficiency in Programming: Strong skills in Python, Java, Scala, or other programming languages relevant to distributed systems. (experience)
  • Deep Understanding of Distributed Systems: Solid knowledge of distributed computing principles, data partitioning, fault tolerance, and performance tuning. (experience)
  • Analytical and Problem-Solving Skills: Proven ability to troubleshoot complex system issues, optimizing for speed, efficiency, and scale. (experience)

Responsibilities

  • Build Data Processing and Analytics Services: Develop scalable data processing and analytics services utilizing our big data stack, including Spark, Trino, Airflow, and Kafka, to support real-time and batch data workflows.
  • Architect Distributed Systems: Design, develop, and operate resilient distributed systems that manage thousands of compute nodes across multiple data centers, ensuring scalability and high availability.
  • Troubleshoot and Innovate: Resolve complex technical challenges and drive innovations that enhance system resilience, availability, and performance.
  • Service Ownership and Live-Site Management: Manage the full lifecycle of services, balancing live-site reliability, feature development, and technical debt retirement. Maintain a strong focus on service reliability and performance.
  • On-Call Support: Participate in the team’s on-call rotation to address complex, real-time issues, keeping critical services operational and highly available.
  • Mentor and Guide Team Members: Provide mentorship and technical guidance to junior engineers, fostering growth, collaboration, and knowledge-sharing within the team.

Benefits

  • general: Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
  • general: World-class enablement and on-demand training with Trailhead.com
  • general: Exposure to executive thought leaders and regular 1:1 coaching with leadership
  • general: Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

Target Your Resume for "Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))" , Salesforce

Get personalized recommendations to optimize your resume specifically for Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm)). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineering LMTS/SMTS - Big Data Infra (Spark/Kubernetes/Terraform/Helm))" , Salesforce

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software EngineeringSoftware Engineering

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