Software Engineer
- Firma
- Revalue
- Lokacija
- Remote
- Objavljeno
- 08.10.2026
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Platform Intelligence
·
Indonesia
·
Fully Remote
Software Engineer
**Candidates must reside in Indonesia and have existing authorisation to work there**
About Us
Revalue is a carbon credit development platform focused on one of the planet’s most critical but complex challenges - seeing nature regenerated at a planetary scale.
Our mission is to design the most cutting-edge and trusted nature credits for our planet.
We are bringing together a world-class team - forestry experts, ecologists, applied AI scientists, software engineers, geospatial analysts, commercial specialists, economists, and more - to create the unique DNA required to reimagine nature credits.
About the role
We are looking for a Software Engineer to join our Engineering team within Platform Intelligence.
Platform Intelligence develops the data infrastructure, machine learning, geospatial pipelines, and technical systems behind Revalue's nature and carbon intelligence products. We turn scientific and analytical work into repeatable, reliable outputs: ingesting and validating Earth observation datasets, producing the analyses and baselines that underpin our carbon methodologies, designing monitoring systems, and running the cloud platform underneath.
This role is about moving from analytical and ML prototypes to production-grade systems. You will work closely with engineers, data scientists, and analysts to build data pipelines, productionise models, and improve reproducibility, making workflows maintainable, observable, and usable by others.
Some of the most important work is deciding what to build, how to model it, and where to draw boundaries. You will work with domain experts to make those decisions rather than simply implementing predefined specifications.
It is a hands-on role at the boundary between software engineering, data science, geospatial engineering, and cloud infrastructure. You will not be expected to lead scientific model development, but you will make sure the models run reliably in production.
Who we are looking for
Please note: Candidates must have existing authorisation to work in Indonesia.
A strong mid-level or senior individual contributor who can own delivery independently and turn complex technical workflows into stable production systems.
Key skills:
• Strong software engineering background. Design, interface, contract, data and domain modeling.
• Scientific programming background in any domain: geospatial, remote sensing, ML, signal/audio/vision, quant, simulation, bioinformatics. We care more about the pattern of experience rather than the specific domain: translating messy, abstract, real-world structures into correct data representations and transformations.
• Comfortable across stacks and tools: generalist disposition, able to pick up new languages/frameworks as our needs shift.
• Familiar with modern SWE practices and product-engineering: discovery, scoping, iterative and incremental delivery, comfortable operating in ambiguity.
Hard skills:
• Good engineering practice: testing, code review, CI/CD, modular design, documentation.
• Experience productionising analytical, data science, or ML workflows: turning exploratory code into reliable systems, with a working understanding of batch processing, reproducibility, monitoring, and deployment.
• Day-to-day work is in scientific Python. However, we weigh fundamentals and data aptitude above prior Python experience: if you have done this kind of work in C++, Scala, … , that counts.
• Cloud engineering experience, ideally on GCP and AWS, including designing and operating cloud-based data systems.
• A pragmatic mindset: knowing when to build carefully, when to simplify, and when to avoid unnecessary complexity.
Soft skills:
• Comfortable with high-visibility, shared-ownership, collaborative work: pairing on decisions, small trunk-based commits, and real-time feedback on work in progress.
• Comfortable running discovery sessions with domain experts before building.
• Strong communication, including presenting technical solutions to colleagues and non-technical stakeholders.
• Advanced proficiency in written and spoken English.
Nice to have:
Experience in any of these would be valuable, though we do not expect all of them: