This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python Engineer (.NET) based in United States.
This is a high-impact engineering opportunity focused on modernizing a core scheduling platform that supports real customers every day.
You will play a key role in shaping backend architecture, establishing Python engineering standards, and improving the reliability and maintainability of critical services.
The position offers broad technical exposure across a multi-product ecosystem built with Python and .NET.
You will work alongside a highly experienced, collaborative engineering team where senior engineers are expected to influence architecture and execution.
AI-assisted development is already embedded in the engineering workflow, including LLM tooling, agent orchestration, and AI-powered coding, debugging, and testing.
The role is ideal for a pragmatic technical leader who enjoys solving complex problems, working across technology stacks, and making thoughtful engineering decisions.
As part of a fully distributed team, you will have significant ownership while collaborating asynchronously across multiple time zones.
Accountabilities
- Lead backend development for the modernization of the core scheduling platform, establishing Python best practices and contributing to key architectural decisions.
- Own the quality, reliability, and maintainability of Python-driven services as the platform evolves.
- Contribute across a multi-product technology ecosystem spanning Python and .NET, including products and services related to engagement, authentication, messaging, and time management.
- Design, build, maintain, and improve APIs and backend services while remaining hands-on throughout the development lifecycle.
- Write production-quality code, participate in code reviews, debug complex issues, and contribute to technical problem-solving.
- Help establish and maintain engineering standards around code quality, architecture, testing, and maintainability.
- Contribute to the ongoing modernization of the software platform through pragmatic technical decisions that balance immediate needs with long-term scalability.
- Help advance an AI-accelerated software development lifecycle by applying tools such as Claude Code, LLM-based development workflows, and agent orchestration to coding, debugging, testing, and engineering productivity.
- Collaborate closely with senior engineers across products and technology stacks to solve problems and deliver reliable solutions.
- Provide technical guidance through constructive feedback, thoughtful disagreement, and strong engineering judgment.
- Contribute to a collaborative, low-ego engineering culture where ownership, initiative, and shared responsibility are valued.
Requirements
- Deep, production-grade experience with Python 3.10+, including the ability to write clean, idiomatic, maintainable Python and establish strong engineering practices.
- Meaningful professional experience with .NET, with sufficient technical depth to contribute effectively within a mixed Python and .NET environment.
- Strong backend engineering experience, including API development, service ownership, debugging, code reviews, and production software delivery.
- Experience working on complex or evolving platforms where architecture, reliability, maintainability, and scalability are important considerations.
- Hands-on experience with AI-assisted or agentic software development workflows, including LLM tooling, AI coding assistants, multi-agent systems, or similar technologies.
- Strong system design and architectural judgment, with the ability to make pragmatic technical trade-offs rather than over-engineering solutions.
- Demonstrated senior-level engineering judgment, initiative, and ability to operate independently without requiring constant direction.
- Strong communication skills and the ability to explain technical decisions, challenge ideas constructively, and collaborate effectively with experienced engineers.
- A genuine team-first mindset, with a willingness to contribute across products and technologies rather than remaining confined to a narrow specialization.
- Comfort working in a fully distributed environment, collaborating asynchronously with colleagues across different time zones.
- Ability to adapt to evolving technologies, development practices, and AI-enabled engineering workflows.
Benefits
- Fully remote position based in the United States.
- Inclusive and collaborative working environment where diverse perspectives are valued.
- Comprehensive health, vision, and dental insurance.
- Benefits available from the first day of employment.
- Generous paid time off and company-paid holidays, including flexible floating holidays.
- 100% 401(k) employer match up to 6%.
- Paid parental leave.
- Wellness support and access to mental health resources.
- Opportunities to work with modern AI-assisted development tools and emerging engineering practices.
- The opportunity to contribute to a significant platform modernization initiative and influence technical standards across a multi-product engineering environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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