Staff Fullstack Engineer - Data Products
New
IndiaFull-TimeStaff
Salary not disclosed
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Job Details
- Required Skills
- Node.jsRubySnowflakeGoBigQueryDatabricks
Requirements
- Proven experience owning and delivering product or platform systems at a staff engineering level across multiple teams.
- Strong fullstack development experience with proficiency in Go, Ruby, and Node.js.
- Deep expertise in at least one area such as reporting platforms, data systems, graph technologies, or warehouse integrations.
- Hands-on experience building production-grade data ingestion pipelines, system integrations, or data access platforms.
- Experience designing and operating multi-tenant systems across SaaS and self-managed environments.
- Strong technical judgment with the ability to make trade-offs, create clarity, and move early-stage initiatives forward.
- Excellent written communication skills, including experience creating architecture documents and technical proposals.
- Ability to collaborate effectively across product, engineering, and platform teams in an asynchronous environment.
- A proactive mindset with the ability to adapt skills from adjacent areas such as platform engineering, data engineering, or product development.
Responsibilities
- Architect and build systems that ingest, model, and synchronize internal and external data into a near-real-time knowledge graph.
- Design integrations with external platforms such as project management, observability, customer support, and enterprise service systems.
- Develop data access solutions that allow customers to consume platform data through modern analytics technologies and cloud data warehouses.
- Build and maintain APIs and data delivery capabilities, including observability data outputs.
- Define operational readiness standards and ensure reliability across SaaS, dedicated, and self-managed deployments.
- Translate complex product challenges into practical technical strategies, architecture proposals, and iterative delivery plans.
- Collaborate with backend, AI, infrastructure, product, and design teams to remove blockers and accelerate execution.
- Mentor engineers through technical guidance, architecture discussions, design reviews, pairing sessions, and code reviews.
- Drive engineering excellence by promoting scalable, maintainable, and high-quality software development practices.
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