Data Scientist jobs in Indonesia

Senior Software Engineer will be an integral part of our Engineering teams in EMEA.

This role is based remotely as a full‑time employee in the UK, Ireland, Estonia, Israel, Netherlands, Sweden. We are also open to contractors in Eastern Europe and Portugal.

DoiT is a global technology company that works with cloud‑driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well‑architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award‑winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

We are looking for a Senior Software Engineer who is comfortable operating at the intersection of large‑scale data systems and modern backend development. This role blends data pipeline engineering, distributed system design, and multi‑cloud expertise to help us evolve our DoiT Cloud Intelligence (DCI) product.

You’ll work on building and scaling backend services, integrating billing and usage data across cloud providers, and ensuring our systems are reliable, performant, and cost‑efficient. Beyond data, you’ll also play a key role in core platform engineering: designing APIs, building tools, and contributing to the services that power our product suite.

• Design, build, and scale backend services in Go and TypeScript that integrate deeply with large‑scale data pipelines.
• Work closely with the billing data team on analysis, optimization, recalculation, and delivery of accurate cloud billing data.
• Collaborate with engineering teams to improve data pipelines and integrate them into product‑facing services.
• Contribute to platform code and infrastructure that supports billing calculations and cloud analytics.
• Implement monitoring, observability, and reliability practices for both backend services and data systems.
• Drive best practices around backend architecture, data processing, and system design in multi‑cloud environments (AWS and GCP).

• 5+ years of experience as a backend engineer, with exposure to large‑scale data systems in production.
• Strong programming skills in Go and/or TypeScript (Python definitely a plus).
• Proven experience designing and maintaining scalable APIs and services.
• Proficiency in SQL and experience with analytical databases (e.g., BigQuery, ClickHouse, Redshift, Snowflake).
• Deep understanding of cloud infrastructure (AWS and GCP preferred).
• Knowledge of AWS billing and cost optimization is a strong plus.
• Comfortable collaborating across product and engineering teams.
• Excellent communication skills in English, both written and verbal.
• Self‑motivated, adaptable, and effective in a fast‑moving environment.
• A great sense of humor and enjoys having fun at work.

• BA/BS degree or equivalent practical experience.
• Experience with performance tuning and cost optimization for large‑scale data systems.
• Familiarity with Kubernetes and modern DevOps practices.

• Unlimited PTO
• Flexible Working Options
• Health Insurance
• Employee Stock Option Plan
• Professional Development Stipend

DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

At DoiT International, our unwavering dedication to cultivating a diverse and inclusive workplace remains paramount. In line with this commitment, we are presently engaged in the collection of gender data to assess and fortify our diversity and inclusion programs.

It is imperative to emphasize that the information collected is meticulously segregated from your employment records and holds no bearing on any employment‑related determinations. We wish to underscore that your privacy is rigorously safeguarded as DoiT International processes gender data in an aggregate and de‑identified manner. Be assured that under no circumstances will this information be divulged or disseminated externally in a manner that compromises anonymity.

While the provision of this information is entirely voluntary, we extend an invitation for you to consider self‑identifying. Such voluntary contributions substantiate and fortify DoiT's steadfast commitment to fostering diversity and inclusion within our organizational fabric.