Python Engineer @ Adaptiq
4 weeks ago
- At least 6 years of experience as a Software Engineer, with a proven track record of delivering high-quality software solutions.
- At least 3 years of experience in coding with Python
- At least 2 years of experience with AWS cloud with various services
- Experience with working with containers
- Experience writing code in Agile, CI/CD-based environments
- Experience working in a high-growth startup environment
- Ability to work effectively in a collaborative team environment.
- Excellent communication skills and a proactive approach to learning and development.
Who we are:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product:
Our client develops a pioneering security platform designed specifically for Enterprise AI Copilots and Low-Code development. The solution supports organizations in protecting against security risks, achieving compliance, and enhancing business productivity and enablement.
Since its launch in 2021, top global companies rely on the platform to set up security guardrails, generate prioritized vulnerability reports, and effectively identify and mitigate risks. This is done by continuously monitoring business-led development platforms, offering centralized visibility, vulnerability assessments, and comprehensive governance.
About the Role:
We're looking for a talented and experienced Python Engineer to join our expanding team. The perfect candidate will be passionate about building large-scale, cloud-based solutions. You'll be working in a dynamic, Agile setting, helping to drive the ongoing development and enhancement of the platform.
,[Contributing to feature development and delivering value to users, Ensuring top-notch engineering quality by applying best practices, Developing security solutions for GenAI and Copilots, Collaborating with the team through open discussions, design reviews, and code reviews] Requirements: Python, Elasticsearch, MongoDB, Redis, Kubernetes, OpenShift, Git, Jenkins, Docker, TensorFlow, Spark, pandas, Hadoop, Airflow Tools: . Additionally: Private healthcare, International projects, Flat structure.-
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