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This role is based in San Francisco Bay Area (Hybrid). Check the full description for remote or hybrid options.

The listed salary range for this position is $230,000 - $250,000. Final compensation may vary based on experience, qualifications, and location.

This position was posted 11 days ago. We recommend applying promptly as positions can fill quickly.

Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal.
We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. By joining Findem, you will have the unique opportunity to help define what the future of HR looks like for every business.
We are looking for a seasoned Senior Staff Software Engineer to architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. You'll provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

Architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices.
Provide technical leadership and mentorship.
Optimize system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.

BS/MS or higher in Computer Science or a closely related technical field.
Minimum 8-10 years of progressive experience in software engineering focused on backend and infrastructure.
Proven technical leadership experience driving large-scale microservices implementations.
Extensive experience optimizing backend systems performance, scalability, and reliability.
Significant track record implementing infrastructure solutions leveraging Docker, MongoDB, TypeScript, and generative AI.
Expert-level proficiency in designing and building infrastructure with TypeScript, MongoDB, Docker, and modern cloud technologies.
Extensive knowledge of microservices architecture, container orchestration, and RESTful API development.
Demonstrated expertise with performance engineering, reliability, scalability strategies, and generative AI.
Deep understanding of Agile methodologies, CI/CD pipelines, observability, and monitoring tools.
Outstanding leadership, problem-solving, and architectural decision-making capabilities.