Contribute to engineering initiatives as a full software developer, delivering production-quality features and services.
Write, review, test, and maintain clean, reliable, and scalable code following standard engineering workflows (PRs, code reviews, CI/testing).
Provide internal developer support by answering specialized, contextual questions across the engineering ecosystem (tooling, libraries, standards, and patterns).
Guide engineers on local development environment setup, Unix/Bash workflows, and day-to-day tooling usage.
Advise teams on internal tools and frameworks, clearly explaining technical trade-offs and recommending best paths forward.
Identify repetitive friction points and automate workflows through scripts, templates, and improved tooling.
Partner with the team to embed AI know-how into the company’s AI coding tools (e.g., Claude) and enable smarter developer experiences.
Contribute to infrastructure-as-code and internal platform efforts using Terraform, especially in AWS-based environments.
Help teams make identity/security framework decisions (e.g., Okta, Auth0) based on use case and organizational standards.
Operate effectively in ambiguous environments, establishing clarity where documentation or standards don’t yet exist.

7–10 years of professional software engineering experience, with strong fundamentals and the confidence to provide clear, opinionated guidance.
Strong proficiency in either Python or .NET (we are hiring two engineers—ideally one strong in each to complement the stack).
Solid experience working in Unix/Linux environments and Bash/scripting.
Hands-on experience with Terraform and infrastructure-adjacent work (AWS-based environments preferred).
Familiarity with identity/security frameworks such as Okta and/or Auth0.
Demonstrated ability to act as an internal consultant: diagnose problems quickly, communicate trade-offs, and recommend solutions.
Strong communication skills (written and verbal), with a coaching/mentoring mindset.
Proactive and independent: naturally seeks opportunities to improve, automate, and simplify.
Comfortable switching between deep technical work and developer support without losing momentum.
Nice to have: exposure to AWS architecture, but not required to be an AWS expert (dedicated architecture expertise exists within the team).

Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development: Career development plans and mentorship programs to help shape your path.
Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment.
Flexible working options to help you strike the right balance.

Senior Software Engineer, Python

Key skills