Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 95 days ago

Staff Engineer, Developer Experience & Engineering Enablement

DKatalis10 open roles

Where
Jakarta, Indonesia
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowStaff Engineer, Developer Experience & Engineering EnablementDKatalis · Jakarta, Indonesia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on DKatalis's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 95 days ago

The posting

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.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against DKatalis's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on DKatalis's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    DKatalis's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.