What are the responsibilities and job description for the Staff Software Engineer (Back End) position at Kixie?
At Kixie, we’re on a mission to empower sales professionals with a powerful, all-in-one sales engagement platform. Our solution seamlessly integrates with CRMs to streamline workflows, increase efficiency, and drive better results. With features like automated outreach, real-time insights, and robust reporting, Kixie helps sales teams connect, communicate, and close deals faster than ever.
Behind our cutting-edge product are the individuals who drive it forward. We pride ourselves on fostering a collaborative, innovative, and supportive environment, where every team member’s contribution is an impact to our success! If you're someone who thrives on challenges, finds joy in solving meaningful problems, and seeks to help shape the future of sales engagement - Kixie is the place for you!
\n- Architect, develop, and maintain highly scalable, secure, and resilient back-end systems and APIs.
- Build and optimize database architectures to ensure data integrity and high performance.
- Collaborate with cross-functional teams, including product managers, front-end engineers, and DevOps, to deliver seamless end-to-end solutions.
- Design, implement, and maintain event-driven architectures and asynchronous systems.
- Debug and resolve production issues, ensuring system reliability and uptime.
- Mentor junior team members, conduct code reviews, and foster a culture of technical excellence.
- Stay current with industry trends, evaluating and implementing new technologies to improve system performance and developer productivity.
- 8 years of experience in back-end development, with a strong focus on building scalable systems.
- Expertise in Node.js, with a solid understanding of modern backend architecture and best practices.
- 3 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 3 years of experience designing, training, and evaluating machine learning models.
- Experience using generative AI, to solve real-world issues
- Proven experience designing and building RESTful and GraphQL APIs.
- Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and best practices for database performance and scalability.
- Experience working with AWS cloud services and serverless architectures.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Proficient in DevOps practices, including CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and monitoring/alerting tools.
- Strong understanding of software design patterns, algorithms, and system architecture.
- Excellent problem-solving skills, with the ability to troubleshoot and debug complex systems.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Comprehensive medical, dental, and vision insurance
- Unlimited paid time off (PTO), sick leaves, and paid holidays
- Complimentary parking in our secure garage
- Opportunities for career development and continuous learning
- A collaborative, dynamic, and supportive team environment
- Pet friendly office!
Salary : $175,000 - $300,000
