Senior Software Engineer C - Blend360

• 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).

What about languages?

• You will need excellent written and verbal English for clear and effective communication with the team.

How much experience must I have?

• In order to thrive in this role, you must have at least 6+ years of experience in data engineering or similar roles.

Our Perks and Benefits

📚Learning Opportunities:

• Certifications in AWS (we are AWS Partners),