Senior Java Backend Engineer (AI-Native Backend / MCP Engineer, KL Based)
Quick Summary
About WhiteCoat WhiteCoat is a Singapore-headquartered omnichannel provider of integrated health and wellness services that serves as the first and single touchpoint for all care needs in Southeast Asia.
WhiteCoat is a Singapore-headquartered omnichannel provider of integrated health and wellness services that serves as the first and single touchpoint for all care needs in Southeast Asia.
Since launching in 2018, WhiteCoat’s digital platform powers a wide range of services including tele- and in-person consultations, as well as medication fulfilment and diagnostic testing, across primary, specialist and allied care. With a focus on the B2B space, WhiteCoat has forged strategic partnerships with the region’s leading insurers, corporates and care providers, to provide accessible and affordable high-quality care to its users.
The Group currently has offices in Singapore, Indonesia, Malaysia and Vietnam. For more information on WhiteCoat, please visit https://whitecoat.global.
Responsibilities
~1 min readWe are looking for a strong Java Backend Engineer who can build and operate WhiteCoat’s backend services in a Codex-first, AI-native engineering environment.
This person should have solid backend fundamentals and be able to build MCPs, API connectors, and agent-accessible tooling that allow AI agents to support requirements analysis, development, testing, monitoring, and incident investigation safely.
Develop, maintain, and improve Java / Spring-based backend services and APIs.
Build reliable, secure, maintainable backend features supporting mobile, Doctor Portal, CMS, operations, payment, claims, medication, and partner workflows.
Use Codex and AI coding agents to accelerate development, refactoring, test generation, documentation, bug investigation, and release preparation.
Summon and coordinate multi-agent workflows for backend design review, API analysis, database investigation, production issue diagnosis, and release review.
Build MCP servers, internal API connectors, and tool adapters that allow AI agents to safely access approved systems such as Jira, logs, monitoring data, documentation, runbooks, GitHub, databases, and operational tools.
Design MCP/tool access with clear permissioning, audit logs, least-privilege access, PII controls, and failure handling.
Support production issue investigation using logs, metrics, traces, database checks, monitoring tools, and release evidence.
Improve backend reliability, performance, observability, error handling, deployment safety, and operational supportability.
Work with Product, QA, Mobile, DevOps, Data, IS, and Support to diagnose and resolve issues quickly.
Participate in code reviews, technical design, release planning, regression testing, post-release monitoring, and incident reviews.
Contribute to documentation, runbooks, incident notes, reusable prompts, and reusable agent workflows.
What We Offer
~1 min readIf you believe you have what it takes for this role, click ‘Apply’ and join us on our journey to make a positive impact on the lives of people through innovative healthcare solutions!
Location & Eligibility
Listing Details
- First seen
- May 14, 2026
- Last seen
- May 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 14, 2026
Signal breakdown
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