Principal Software Engineer

Tebra

19h•Remote

About The Position

As a Principal Software Engineer, you'll lead architectural decisions, write code, and solve complex technical problems while driving collaboration across teams to ensure successful outcomes. You'll be a mentor and thought leader, flexing between hands-on coding and high-level strategic leadership. Crucially, you will spearhead our AI transformation, driving the integration of artificial intelligence into our product features and revolutionizing our engineering workflows. If you're passionate about setting technical standards, championing AI innovation, solving challenging problems, and shaping the future of software, this is your chance to make a significant impact.

Requirements

12+ years of software engineering experience with 8+ years of technical leadership experience.
Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.).
Python, Java, JavaScript.
Vue, React, Flask, SpringBoot
MySQL, Oracle, Postgres, DynamoDB, Firestore
AWS, GCP.
Flex time spent coding from 10% to 90% as needed by team(s).
Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business.
Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders.
Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership.
Leader in establishing best practices and standards for the engineering organization.
Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences.
Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape.

Nice To Haves

Experience with AI orchestration frameworks like LangChain or LlamaIndex is a strong plus.
Familiarity with Vector Databases is highly desirable.

Responsibilities

Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC).
Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge.
Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features.
Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers.
Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption.
Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies.
Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices.