TL;DR

Software Engineer LMTS (Big Data): Architecting and developing highly scalable products leveraging advanced algorithms and Big Data technologies to build process intelligence capabilities for the Agentforce platform with an accent on Big Data query performance and efficiency. Focus on driving architectural decisions, providing technical leadership, and ensuring high availability of services.

Location: Hybrid work model, requiring in-person presence three days per week or 10 days per quarter. This role is available in San Francisco or Palo Alto, California.

Company

%hirify_global% is seeking an experienced Software Engineer to contribute to the Agentforce platform, focusing on process intelligence capabilities through Big Data and generative AI.

What you will do

Architect, design, implement, test, and deliver highly scalable products.
Design, develop, test, and maintain Big Data queries, owning their performance.
Develop and enhance performance benchmarks for Big Data queries.
Drive architectural decisions across teams and guide complex feature implementations.
Provide technical leadership and mentorship to other engineers.
Participate in the team’s on-call rotation to address complex problems and ensure high availability.

Requirements

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, and Kafka.
Experience in automated testing including unit and functional testing using Java, JUnit, and Selenium.
Excellent communication and interpersonal skills.
Office-Flex: work in-person three days per week; or 10 days per quarter for some engineering teams.

Nice to have

Familiarity with building and delivering highly scalable systems in a 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.

Culture & Benefits

Operate optimally in a hybrid engineering model, ensuring quality in own and other engineers' code.
Opportunity to provide technical leadership and mentorship.
Actively participate in release and deployment processes.