Description
Role Overview
We are looking for Engineering Manager or hands-on TLM to lead and actively participate in the development of our distributed data platform and Integrations engineering team while maintaining hands-on technical involvement in architecture and development. This role combines technical leadership with people management, requiring both strong engineering expertise and team leadership skills.
Responsibilities:
- Lead and mentor a team of senior platform engineers working on distributed systems and cloud infrastructure
- Actively participate in technical design and code reviews while contributing to core platform development
- Drive architectural decisions and technology choices for large-scale distributed systems
- Define and implement technical standards, best practices, and development workflows
- Manage sprint planning, technical debt, and project delivery timelines
- Collaborate with product management to define technical roadmaps and delivery schedules
- Foster a culture of engineering excellence, innovation, and continuous improvement
- Oversee system reliability, performance optimization, and scalability initiatives
- Lead hiring efforts to build and scale the platform engineering team
- Interface with other engineering leaders to ensure alignment across teams
Technical Leadership:
- Hands-on involvement in architecture and development of distributed systems
- Guide implementation of microservices using Docker and Kubernetes
- Oversee AWS infrastructure design and optimization
- Direct integration strategies for third-party systems and APIs
- Lead performance optimization initiatives including caching, queuing, and throttling
- Drive adoption of emerging technologies where appropriate
Requirements
- 10+ years of software engineering experience with 3+ years in engineering management
- Strong hands-on experience with distributed systems, cloud infrastructure, and microservices
- Deep understanding of containerization (Docker, Kubernetes) and cloud services (AWS)
- Experience with message queuing systems (SQS), search technologies (SOLR), and API design
- Track record of leading complex technical projects and architectural initiatives
- Proven ability to balance management responsibilities with hands-on technical contribution
- Experience scaling engineering teams and managing senior technical talent
- Strong understanding of agile methodologies and development practices
- Able to demonstrate strong coding proficiency
- Distributed systems architecture
- Cloud infrastructure and AWS services
- API design and integration patterns
- Performance optimization and scaling
- System monitoring and troubleshooting
Pay Transparency
Please note this role is categorized as onsite in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zone. Zones are determined by location. Zone A is in SF Bay Area, CA .
Base annual salary range: $210,000 to 250,000 + discretionary annual bonus up to 20% + preIPO equity (stock options).
Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 1, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office 3X a week.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
#LI-Onsite
Eightfold AI
Artificial Intelligence (AI)
Business Intelligence
Human Resources
Information Technology
Recruiting
SaaS
0 applies
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