Job Title
SRE Lead (Tech Lead) – AI-Powered Marketing SaaS
Location
Tokyo, Japan
Workplace Type
Hybrid (Remote work available up to 2 days per week)
Company Overview
A rapidly growing technology company developing AI-powered marketing and sales enablement SaaS solutions is seeking an experienced SRE Lead (Tech Lead) to drive platform reliability, scalability, and engineering excellence. The organization is currently undergoing significant growth, leveraging proprietary AI technologies to transform enterprise sales and marketing operations while expanding its presence in the enterprise SaaS market.
About the Role
The company is looking for a highly experienced Site Reliability Engineering leader to provide technical leadership for a fast-growing SaaS platform. This role will be responsible for improving system reliability, scalability, operational excellence, and engineering maturity while mentoring engineers and helping establish world-class SRE and DevOps practices.
The position focuses on technical leadership rather than people management, allowing the successful candidate to concentrate on architecture, reliability engineering, technical decision-making, and team development.
Key Responsibilities
Define, monitor, and improve service reliability through SLI, SLO, and error budget management
Lead incident response activities and conduct root cause analysis
Design and enhance monitoring, observability, logging, and alerting frameworks
Perform capacity planning and infrastructure cost optimization
Identify, prioritize, and reduce technical debt across systems and platforms
Improve CI/CD pipelines to enable safer and faster software delivery
Establish and promote SRE and on-call operational best practices across engineering teams
Support and mentor junior engineers through technical guidance, documentation, and knowledge sharing
Participate in architecture reviews and technical design discussions
Ensure enterprise-grade requirements including scalability, security, and performance are met
Collaborate with Product Managers, Engineering leaders, and business stakeholders to align technical initiatives with business objectives
Drive technical decision-making and contribute to long-term platform strategy
Technology Environment
Backend: Python, FastAPI
Frontend: React, Next.js, TypeScript
Mobile: Swift, Kotlin
Cloud Infrastructure: AWS (ECS, Lambda)
Containerization: Docker
Databases: MySQL, MongoDB, BigQuery, OpenSearch, Redis
CI/CD: GitHub Actions, CodeBuild
Testing: Playwright, Jest, Storybook, Chromatic
Architecture: DDD, Clean Architecture
Development Tools: GitHub, Jira, Confluence, Slack, Google Workspace
AI Development Tools: Claude, AI coding assistants, code review automation platforms
Required Qualifications
5+ years of experience developing enterprise SaaS products
2+ years of mentoring or technical leadership experience as a senior engineer or lead engineer
Experience designing and operating highly available and secure systems
Experience supporting large-scale services or mission-critical environments
Strong knowledge of SQL and NoSQL database technologies, including performance optimization
Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent)
Japanese language proficiency equivalent to JLPT N3 level or above
Preferred Qualifications
Experience defining and operating SLA, SLI, and SLO frameworks
Experience building customer-facing reporting or dashboard solutions
Experience designing log aggregation and analytics platforms
Experience operating multi-region or multi-tenant environments
Experience collaborating closely with business stakeholders and non-technical teams
Ideal Candidate Profile
Passionate about solving complex technical and operational challenges
Enjoys mentoring and supporting the growth of engineering teams
Comfortable working in fast-growing and evolving environments
Demonstrates strong ownership and initiative in building processes and engineering culture
Able to collaborate effectively across engineering, product, and business functions
Balances technical excellence with business impact and customer outcomes
Benefits & Professional Development
Company-supported access to modern AI-powered engineering tools
Annual book allowance for professional development
Regular engineering knowledge-sharing sessions and technical presentations
Opportunities to contribute to engineering communities and technical learning initiatives
Choice of Windows or Mac development environment
Exposure to large-scale AI-powered SaaS platform development
Opportunity to help shape engineering standards, architecture, and organizational growth during a significant expansion phase