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Tech Stack
Tools & technologiesAWSAzureCloud.NETPython
About the role
Key responsibilities & impact- Lead, mentor, and manage a distributed engineering team across US and international time zones, fostering a culture of collaboration, accountability, and continuous improvement.
- Partner closely with the CEO and Product Manager to translate business goals into clear, executable technical plans and sprint deliverables.
- Own the full software development lifecycle — from planning and architecture to deployment and post-launch optimization.
- Define and enforce coding standards, best practices, and architectural guidelines across the team to ensure high-quality, maintainable code.
- Plan and manage sprint cycles using JIRA, coordinating task allocation, tracking progress, and removing blockers to keep delivery on schedule.
- Oversee the team's use of GitHub for version control, code reviews, and CI/CD workflows, ensuring clean branching strategies and robust review processes.
- Ensure all production systems are performant, reliable, and resource-efficient — actively monitoring and optimizing for cost, speed, and scalability.
- Lead and contribute to the development, fine-tuning, and deployment of Generative AI models, working hands-on with LLMs and ML pipelines.
- Continuously evaluate and adopt emerging technologies, frameworks, and AI advancements to keep auxi.ai's platform modern and competitive.
- Coordinate cross-functional dependencies between engineering, product, and business stakeholders to ensure smooth execution.
- Drive a culture of technical excellence, knowledge sharing, and innovation within the engineering organization.
Requirements
What you’ll need- 7+ years of software engineering experience, with at least 3 years in an engineering management or tech lead role.
- Proven experience working in fast-paced, high-growth startup or technology environments.
- Strong proficiency in C# / .NET and Python; ability to review code and provide meaningful technical guidance in both languages.
- Hands-on experience with cloud platforms — Microsoft Azure or AWS (or both); familiarity with cloud-native architectures, services, and cost optimization.
- Experience with Generative AI, including working with LLMs, model training, fine-tuning, and deploying AI-powered features in production.
- Demonstrated ability to manage and lead distributed, international teams effectively across time zones and cultures.
- Expertise in Agile/Scrum methodologies; hands-on experience managing sprints and backlogs in JIRA.
- Strong command of GitHub workflows including branching strategies, pull request reviews, and CI/CD pipeline management.
- Track record of building and maintaining highly performant, resource-efficient production systems.
- A proactive mindset toward technology adoption — you stay current with the latest tools, frameworks, and AI research and bring those insights to the team.
- Exceptional communication and stakeholder management skills; able to translate technical concepts to non-technical leadership.
Benefits
Comp & perks- Health benefits
- Professional development budget and access to the latest AI tools and research
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
C#.NETPythonGenerative AILLMscloud-native architecturesCI/CDAgileScrumcost optimization
Soft Skills
leadershipmentoringcollaborationaccountabilitycontinuous improvementcommunicationstakeholder managementinnovationtechnical excellencecross-functional coordination