Senior Data Engineer (AI/ML & Azure) at Kake

Confirmed open

Kake is hiring a senior data engineer (ai/ml & azure) focused on AI/ML data engineering on Azure.

Kake

Location: Remote
Advertised region: Worldwide
Work arrangement: remote
Technologies: Python, Azure

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Role overview

The Senior Data Engineer (AI/ML & Azure) opening at Kake is centered on Design, build and operate production systems for AI/ML data engineering on Azure. The employer also lists Collaborate with customers and engineering stakeholders on reliable delivery. and Improve performance, testing, automation, documentation and observability. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Kake is hiring a senior data engineer (ai/ml & azure) focused on AI/ML data engineering on Azure. The named technologies include Python, Azure.

The posting identifies Relevant senior experience in backend, data, AI/ML, DevOps or platform engineering. and Strong systems thinking, debugging and communication skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Worldwide. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Kake before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Design, build and operate production systems for AI/ML data engineering on Azure.
Collaborate with customers and engineering stakeholders on reliable delivery.
Improve performance, testing, automation, documentation and observability.
Translate complex requirements into maintainable software and data platforms.

Qualifications

Solid understanding of data pipelines, data transformation, and modern data architectures.
Strong understanding of AI/ML concepts and workflows .
Excellent written and verbal communication skills in English.
Ability to work independently in a remote, fast-paced environment.
US Timezone Overlap: 6-7h with PST.
Strong client-facing presence and ability to communicate complex technical concepts clearly.
An AI-forward mindset and genuine interest in applying emerging AI technologies to data engineering problems.

Technology in this role

Python: The named technologies include Python, .
Azure: The Senior Data Engineer (AI/ML & Azure) opening at Kake is centered on Design, build and operate production systems for AI/ML data engineering on .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Senior Data Engineer (AI/ML & Azure) position at Kake is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The Senior Data Engineer (AI/ML & Azure) opening at Kake is centered on Design, build and operate production systems for AI/ML data engineering on Azure. The employer also lists Collaborate with customers and…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Design, build and operate production systems for AI/ML data engineering on Azure.”; “Collaborate with customers and engineering stakeholders on reliable delivery.”; “Improve performance, testing, automation, documentation and observability.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Solid understanding of data pipelines, data transformation, and modern data architectures.”; “Strong understanding of AI/ML concepts and workflows .”; “Excellent written and verbal communication skills in English.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the.

Benefits

Worldwide work arrangement as stated in the official posting.
Opportunity to work on software, data and cloud engineering projects.

About Kake

Kake describes itself as a remote-first community of experienced software engineers that helps client teams add individual engineers or full engineering groups. Its model combines technical vetting and human selection with AI-supported processes; Kake engineers work as dedicated members of client teams rather than as a separate outsourced delivery queue.

The company recruits across frontend, backend, mobile, quality engineering, data and DevOps. Its public hiring pages emphasize end-to-end ownership, collaboration with product and design, and engineering judgment. The exact client, product, team structure and employment terms can vary by opening, so candidates should verify those specifics in the individual listing.

Employer website

How to apply

Review the original posting and apply through the employer’s careers page.

View source and apply

Source checked: 2026-11-08

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