This role pays more than
71%
of similar roles. Most pay
$149,350–$193,875
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$172k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
518 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 505 roles with salary data.
As a Senior Software Engineer - CTJ - TS/SCI on the Frontier Company team, you will operate within a Forward Deployed Engineering model to build reliable, production-ready systems and services. Working in multidisciplinary crews alongside data scientists and product managers, you will manage the full lifecycle of software development, from initial design through deployment. Your daily responsibilities include designing, testing, and operating scalable solutions while driving engineering best practices like CI/CD, automated testing, and observability. You will utilize a security-first mindset to solve complex problems for large organizations by translating business needs into technical designs. The role requires proficiency in languages such as C, C++, C#, Java, JavaScript, or Python. Additionally, you will leverage AI tools, cloud AI platforms like Azure ML or OpenAI, and techniques including prompt engineering and retrieval-augmented approaches to deliver high-quality results.
What does a Software Engineer earn?
Median $195000 from 1914 postings across 140 companies.
Design, build, test, and operate secure, reliable, and scalable production-grade software and services.
Translate complex business needs into technical designs by partnering with customers and internal stakeholders.
Drive engineering best practices including code reviews, automated testing, CI/CD, and observability.
Deliver end-to-end customer outcomes by prototyping quickly and iterating based on feedback.
Build reusable components, reference implementations, and patterns for use across multiple teams.
Lead technical workstreams by breaking down ambiguous problems and aligning stakeholders to drive execution.
Apply AI technologies and software engineering principles to solve large-scale problems in production environments.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science or related field and 6+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science or related field and 8+ years of engineering experience (preferred).
Must be a U.S. citizen to meet legal requirements for government agency support.
Must possess an active TS/SCI clearance with polygraph and the ability to maintain it.
Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end (preferred).
Experience designing, deploying, and operating AI or LLM-based solutions including prompt engineering and model tuning (preferred).
Familiarity with cloud AI platforms such as Azure ML or OpenAI (preferred).