Software Engineer LMTS, Salesforce

Big Data Focus

$167.3-276.1k

Salary varies depending on location. Plus ESPP

SQL

AWS

Docker

Kubernetes

Java

Kafka

Selenium

Spark

Senior and Expert level

San Francisco Bay Area

3 days a week in office (San Francisco, CA or Palo Alto, CA )

World's leading CRM provider

Be an early applicant

World's leading CRM provider

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Be an early applicant

$167.3-276.1k

Salary varies depending on location. Plus ESPP

SQL

AWS

Docker

Kubernetes

Java

Kafka

Selenium

Spark

Senior and Expert level

San Francisco Bay Area

3 days a week in office (San Francisco, CA or Palo Alto, CA )

1001+ employees

B2BArtificial IntelligenceEnterpriseInternal toolsLead generationAnalyticsCloud ComputingSales

Company mission

To empower companies to connect with their customers in a whole new way.

Job

Company

Role

Who you are

Bachelor’s degree in computer science or related field
6+ years of professional software development experience
Proficiency in Java backend development
Proficiency in Big Data technologies like Spark, Trino or similar SQL query engines), Iceberg, Kafka
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium
Excellent communication and interpersonal skills
Office-Flex: Work in-person three days per week; or 10 days per quarter for some engineering teams

Desirable

Familiarity in building and delivering highly scalable, reliable, and complex software systems in a hosted cloud environment using AWS, Docker, and Kubernetes
Experience in working and developing with AI and Large Language Models (LLMs)
Master's degree in Computer Science or equivalent field
Track record of being a top performer in current and past roles

What the job involves

Salesforce is seeking an experienced, versatile, and mission-driven Software Engineer (LMTS) with a Big Data focus to join a team leveraging advanced algorithms, Big Data technologies, and generative AI to build process intelligence capabilities in the Agentforce platform
You will drive the development of features and integrations that will enable companies to leverage massive volumes of data from myriads of sources to discover, automate, and optimize their business processes
You will bridge the gap between "Data Engineering" and "Software Engineering" — writing high-quality production code that leverages distributed query processing to enable efficient AI and Analytics at scale
Architect, design, implement, test and deliver highly scalable products
Master our development process, culture and code base, then improve it
Design, develop, test, and maintain Big Data queries
Own the performance of your queries: deep dive into query plans to enhance scalability, performance, and efficiency
Design, develop, and enhance performance benchmarks for Big Data queries
Come up with innovative ideas to improve robustness, scalability and performance
Drive architectural decisions across teams and guide the implementation of complex features
Provide technical leadership and mentorship to other engineers
Operate optimally in the hybrid engineering model where engineers are encouraged to be able to craft and complete the vital work to ensure quality in their own code as well as other engineers
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics
Actively participate in release and deployment process
Participate in the team’s on-call rotation to address sophisticated problems in real-time and keep services operational and highly available

Our take

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.

By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.

Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Trustpilot (1.5)

Company

Funding (last 2 of 4 rounds)

Jun 2001

$46.9m

SERIES D

Nov 1999

$13.2m

SERIES C

Total funding: $64.5m

Company benefits

With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Company HQ

SoMa, San Francisco, CA

Leadership

Marc Benioff

(Chair & CEO)

Previously Senior Vice President at Oracle Corporation for 13 years.

Parker Harris

(CTO)

Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.

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