Senior Software Engineer – Data Ingestion & Extraction (m/f/d)

Jackalope Digital LLC; München; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work

Flexible hours

30 vacation days

Workation in EU

Wellpass gym

Udemy access

Zusammenfassung

Certivity is seeking a Senior Software Engineer to join our Data team in Munich. You will design and build services that extract structured data from regulatory documents and create tooling to verify data as it enters our systems.

You will ship production systems end-to-end and collaborate with an AI-assisted coding workflow. You will work with Python, deploy containerized apps on AWS/Azure/GCP, and contribute to architecture in a fast-paced, hybrid office environment.

Qualifikationen

• 5+ years of professional software development experience.
• Strong skills in Python.
• AI-native: comfortable and effective pairing with AI tools to write code.
• Hands-on experience with data extraction at scale.
• Senior-level experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
• Proficiency with Git, CLI tools, and containerized deployments (Docker).
• Clear communicator who thrives in a collaborative, fast-paced environment.

Aufgaben

• Build and scale services that extract structured data from regulatory documents.
• Design and maintain tooling to ensure data correctness across ingestion pipelines.
• Deploy and operate containerized apps in cloud environments (AWS, Azure, or GCP).
• Pair with AI coding tools as part of your regular development workflow.
• Contribute to technical architecture and help shape the engineering culture.

Kenntnisse

Python

Data extraction

AI-native

Git

CLI tools

Collaboration

Tools

Docker

AWS

Google Cloud

Azure

Jobbeschreibung

About the Job

At Certivity, we are looking for a Senior Software Engineer (m/f/d) to join our Data team. You will design and build the services that extract structured data from regulatory documents, and the tooling that verifies this data is correct once it's in our systems. This is a chance to work on complex engineering challenges with massive real-world impact. You will work alongside a sharp, collaborative team and ship production systems end-to-end. If you are comfortable pairing with AI tools to write code and want to build systems that ingest, verify, and deliver data at scale, this role might be the right one for you.

What you will do

• Build and scale services that extract structured data from regulatory documents.
• Design and maintain tooling to ensure data correctness across ingestion pipelines.
• Deploy and operate containerized apps in cloud environments (AWS, Azure, or GCP).
• Pair with AI coding tools as part of your regular development workflow.
• Contribute to technical architecture and help shape the engineering culture.

Your profile

• 5+ years of professional software development experience.
• Strong skills in Python.
• "AI-native": comfortable and effective pairing with AI tools to write code.
• Hands-on experience with data extraction at scale.
• Senior-level experience with at least one major cloud provider (AWS, Google Cloud, or Azure).
• Proficiency with Git, CLI tools, and containerized deployments (Docker).
• Clear communicator who thrives in a collaborative, fast-paced environment.
• Comfortable working hybrid in our Munich office.

Nice to Have:

• Experience with regulatory or compliance data.
• Experience with ML pipelines or Large Language Models (LLMs).
• Full-stack skills (React, Angular, or Vue).

Why us?

• A vibrant in-office culturein Munich with the option for up to 60 % work from home.
• Flexibleworking hours.
• 30 vacation days per year (including 4 "company rest days" over christmas).
• 30 daysof "workation" per year, within the EU and selected countries.
• Highautonomyand flat hierarchies.
• EGYM Wellpassfor unlimited access to fitness courses and gyms.
• Udemy access for educational videos.

Closing

Certivity is an equal opportunities employer. We are committed to equal employment opportunities regardless of race, religion, sexual orientation, age, marital status, disability, or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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