Staff Engineer, Developer Experience & Engineering Enablement

Dkatalis; Jakarta Pusat; On-site; IDR 600,000,000 - 1,000,000,000; Full time

Job summary

DKatalis, a fintech company with APAC offices, is seeking a Staff Engineer to elevate developer experience and engineering enablement. You will design and build a next‑gen software development ecosystem with AI-powered tooling, automation, and self-service capabilities for global product teams.

You will balance hands-on engineering with cross‑functional leadership, mentoring across teams while embedding AI capabilities into delivery workflows and Kubernetes-based runtimes.

Qualifications

• Proven ability to design and ship production AI/LLM-enabled systems.
• Strong background in cloud-native backend development and Kubernetes.
• Experience building internal developer tooling and tooling standards.
• Familiarity with DevEx patterns and workflow orchestration is a plus.

Responsibilities

• Build AI-assisted tooling across the development lifecycle and self-service platforms.
• Drive SDLC automation, CI/CD, and operational tooling at scale.
• Integrate advanced frameworks (RAG, LLM tooling, MCP) across GitLab, GitHub, and Slack.
• Provide technical leadership and mentor engineers across teams.

Skills

AI development

Software architecture

DevEx / Developer Experience

Cloud & Kubernetes

Leadership

Tools

GitLab

GitHub

Slack (ChatOps)

LangSmith

Langfuse

Arize

Phoenix

MCP

Job description

Staff Engineer, Developer Experience & Engineering Enablement

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC

About the role

We are looking for a Staff Engineer passionate about elevating developer experience (DevEx), engineering productivity, and software delivery workflows at scale.

In this role, you will lead the effort to design and build our next-generation software development ecosystem, pioneering the future of delivery by weaving practical AI capabilities directly into our development lifecycle. You will focus on creating internal tooling, automations, and self-service capabilities that empower global product teams to accelerate delivery and reduce operational friction. As a Staff Engineer, you will balance deep hands-on execution with cross-functional leadership, partnering closely with infrastructure and engineering teams to build highly automated, intelligent, and scalable workflows across the organization.

Role and Responsibilities:

• Build AI-Assisted Tooling: Architect, scale, and embed advanced AI-driven tools into daily workflows, including Contextual Engineering Assistants, automated code review agents, and intelligent incident response systems.
• Drive SDLC Automation: Build intelligent tooling across the SDLC to streamline code reviews, operational support, CI/CD pipelines, and developer self-service functions.
• Integrate Advanced Frameworks: Pragmatically orchestrate software patterns using Retrieval Augmented Generation (RAG), LLM tooling integrations, and the Model Context Protocol (MCP) ecosystem across GitLab, GitHub, and Slack (ChatOps).
• Technical Leadership: Establish tooling engineering standards, champion robust Kubernetes runtime architectures, and act as a force multiplier by mentoring engineers across teams.

Requirements:

• Practical AI Experience (Required): Proven track record of successfully implementing, shipping, and scaling production-grade applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agentic frameworks (e.g., MCP). This includes hands-on experience establishing evaluation, testing, and observability guardrails using modern LLM tooling (such as LangSmith, Phoenix, Braintrust, Langfuse, or Arize).
• Core Engineering Foundation: 10+ years of professional software engineering experience building distributed, cloud-native backend systems. Production proficiency in at least one backend language (Go, Java/Kotlin, or TypeScript/Node.js) alongside strong tooling capabilities (Python).
• Cloud & Automation Mastery: Deep understanding of software architecture, event-driven design, CI/CD pipelines, observability, and managing systems natively on Kubernetes.
• Developer Experience Application (Strong Plus): Direct experience or strong familiarity with Developer Experience (DevEx) design patterns, internal developer portals, or workflow orchestration engines (e.g., Temporal) is highly preferred.
• Systems Thinking & Influence: Demonstrated ability to simplify complex engineering processes, influence technical strategy across diverse teams, and successfully roll out enterprise-wide internal tooling.