Senior Software Engineer, OCI Data Analytics

Oracle

Quick summary

Work type
On-site
Location
Austin, TXNashville, TN
Salary
$79,200–$209,500 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $184k
This role $144k
$62k most similar roles pay here $240k

This role pays less than 75% of similar roles. Most pay $146,375–$222,000 — the shaded band above. At the midpoint, this role pays about $144k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 755 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 568 roles with salary data.

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View all roles at Oracle

At a glance

TL;DR · Senior Software Engineer, OCI Data Analytics

As a Senior Software Engineer at Oracle Cloud Infrastructure (OCI) in Nashville, you will join a dynamic data and platform engineering team responsible for developing tools and services that enhance operations, planning, and integration at scale. Your daily tasks will involve designing and implementing production-quality software using AI-native development workflows while maintaining critical oversight over the quality and security of generated code. You will build APIs, automation scripts, internal tools, and developer-facing systems to solve complex business problems, ensuring they are robust and maintainable. The role requires proficiency in Python or other relevant programming languages, along with experience in CI/CD pipelines, DevOps practices, and cloud service integrations. Ideal candidates possess a strong background in software engineering, coupled with a passion for continuous learning and the ability to work effectively in ambiguous environments where quick adaptation is key.

What you'll do

  • Design and implement production-quality software using appropriate tools for specific problems.
  • Use AI coding tools effectively while maintaining skepticism and discipline in code generation.
  • Review both AI-generated and human-written code for correctness, security, and maintainability.
  • Work across application logic, CI/CD, DevOps workflows, service integration, and networking fundamentals.
  • Solve ambiguous problems by breaking them into concrete, reviewable engineering steps.
  • Quickly learn new tools, domains, and codebases to enhance technical capabilities continuously.

What we're looking for

  • 3+ years of software engineering experience with strong programming skills across design, APIs, debugging, testing, and data structures.
  • Bachelor's degree in Computer Science or related technical field required; Python proficiency beneficial but not mandatory.
  • Experience with developer tooling, CI/CD pipelines, DevOps practices, and basic networking concepts.
  • Proficiency in using AI coding tools and agentic workflows for practical engineering tasks.
  • Strong judgment in evaluating generated code for correctness, maintainability, security, and operational fit.
  • Continuous learning mindset demonstrated through side projects, open source contributions, or other technical initiatives.

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