Lead Software Engineer
Pragmatike
Location: San Francisco, California - On-site
Compensation: $180,000-$300,000 USD
Start Date: ASAP
Languages: Fluent English required
Type: Full-time Tech Stack: TypeScript, Python, Go About the Opportunity Pragmatike is recruiting on behalf of a fast-growing technology company building sophisticated software systems and infrastructure at scale. We are seeking a Lead Software Engineer to lead engineering initiatives while remaining deeply hands-on. This role combines technical leadership, architecture, mentorship, and direct software development. What You'll Do
Compensation: $180,000-$300,000 USD
Start Date: ASAP
Languages: Fluent English required
Type: Full-time Tech Stack: TypeScript, Python, Go About the Opportunity Pragmatike is recruiting on behalf of a fast-growing technology company building sophisticated software systems and infrastructure at scale. We are seeking a Lead Software Engineer to lead engineering initiatives while remaining deeply hands-on. This role combines technical leadership, architecture, mentorship, and direct software development. What You'll Do
- Lead engineering projects from architecture through production.
- Design and build systems using TypeScript, Python, and Go.
- Make technical decisions across product and platform initiatives.
- Break down ambiguous problems into executable engineering plans.
- Lead code reviews and establish engineering standards.
- Mentor and develop senior engineers.
- Collaborate with Product and Engineering leadership.
- Improve reliability, scalability, and engineering velocity.
- Remain hands-on with critical technical implementation.
- 8+ years of software engineering experience.
- Strong hands-on programming experience with TypeScript, Python, and/or Go.
- Proven technical leadership experience.
- Strong system design and architecture skills.
- Experience mentoring engineers.
- Excellent communication and cross-functional collaboration.
- Strong ownership and execution.
- Willingness to work on-site in San Francisco .
- Kubernetes and cloud.
- Distributed systems.
- AI/ML infrastructure.
- Startup or scale-up experience.
- Experience building teams or technical functions.
Vacancy posted more than 2 months ago
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