Staff Engineer - Cross Border

• Define technical direction: Shape the architecture of cross-border backend systems supporting international customers purchasing from Japanese marketplace sellers.

• Lead cross-team system design: Coordinate architecture across the entire purchasing journey, including discovery and search, product details, pricing, landed costs, checkout, payments, and post-purchase experiences.

• Establish clear service boundaries: Define robust API contracts and Backend-for-Frontend (BFF) patterns that support iOS, Android, and web applications.

• Build scalable backend services: Design, develop, test, and maintain reliable Go services while remaining hands-on with complex technical challenges and critical implementation work.

• Enable global platform scalability: Develop systems that support multiple regions through a consistent global platform, avoiding unnecessary country-specific fragmentation.

• Own production reliability: Establish standards for observability, safe deployments, incident response, and continuous operational improvement across marketplace services, partner integrations, payment systems, and third-party providers.

• Accelerate engineering delivery: Help two to four engineering teams overcome complex design challenges, simplify platform architecture, and improve delivery speed and quality.

• Advance AI-assisted engineering: Integrate coding agents, AI-assisted code reviews, automated testing, debugging, and operational automation into the software development lifecycle.

• Drive cross-functional alignment: Collaborate with product managers and engineers across India and Japan to turn ambiguous business and technical challenges into actionable engineering plans.

• Mentor technical leaders: Coach senior engineers, strengthen architectural decision-making, and help engineering teams use AI agents effectively while maintaining high standards of software quality and reliability.

Requirements

• Professional experience: 10–12 years of software engineering experience, including demonstrated leadership of complex backend initiatives spanning multiple teams.

• Backend engineering expertise: Strong experience with Go or the ability to become productive in Go quickly, including API design, implementation, and testing.

• Distributed systems: Deep knowledge of designing, building, and operating distributed systems in cloud-native environments, particularly Google Cloud Platform (GCP) and Kubernetes.

• System architecture: Excellent system design, data modeling, production debugging, and architectural decision-making skills.

• Production reliability: Experience operating customer-facing systems at approximately 99.95% availability, with a strong understanding of observability, incident management, and reliability engineering.

• Customer-facing product delivery: A proven record of delivering large-scale, customer-visible product capabilities rather than focusing exclusively on internal services.

• Technical leadership: Ability to influence architecture and engineering standards across multiple teams without relying on formal authority.

• AI-enabled development: Practical experience applying AI or large language models (LLMs) to improve engineering productivity through coding agents, AI-assisted reviews, testing, debugging, or similar workflows.

• Communication and collaboration: Strong written and verbal communication skills, including the ability to explain architectural decisions, technical trade-offs, and risks to technical and non-technical stakeholders.

• Cross-border commerce knowledge: Experience with international e-commerce, payments, multi-currency transactions, or multi-region systems is an advantage.

• Search and data platforms: Familiarity with search, personalization, Elasticsearch, event streams, or machine learning pipelines is desirable.

• Client and API architecture: Experience with BFF patterns and familiarity with React or mobile application clients is beneficial.

• External integrations: Experience integrating third-party partners and external APIs at scale is an advantage.

• Platform engineering: A track record of simplifying technology stacks, improving shared platforms, or driving platformization initiatives is valuable.

• AI tooling development: Experience developing AI agents or AI-powered developer tools is a plus.

• Learning mindset: Willingness to learn the Japanese marketplace domain, internal platforms, and cross-border requirements involving duties, taxes, logistics, and regional regulations.

• Leadership approach: A collaborative, proactive mindset that balances bold architectural thinking with practical execution, shared ownership, and a commitment to engineering excellence.

Benefits

• Employment type: Full-time position.

• Work arrangement: Hybrid working model based in Bengaluru, India.

• Weekly flexibility: The stated working arrangement includes two days per week in the office and three days working remotely.

• In-person collaboration: Team members are encouraged to work from the Bengaluru office, particularly during the initial office setup phase, to strengthen collaboration and organizational development.

• Professional impact: Opportunity to influence the architecture of a global e-commerce platform and contribute to expansion into additional international markets.

• Technical ownership: A hands-on staff-level engineering role with significant influence over system design, platform reliability, and cross-team engineering standards.

• AI-driven innovation: Opportunity to help define how engineers and autonomous AI agents collaborate across software design, development, testing, deployment, and operations.

• Mentorship and leadership: Scope to develop senior engineers and strengthen technical leadership across distributed engineering teams in India and Japan.

• Salary and additional benefits: Compensation, healthcare coverage, bonuses, equity, paid leave, and other benefits are not specified in the available job description and should be confirmed during the hiring process.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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