
Software Mind ir tehnoloģiju uzņēmums, kas organizācijām nodrošina programmatūras izstrādes un digitālās transformācijas pakalpojumus mākslīgā intelekta, SaaS un telekomunikāciju jomā. Uzņēmuma pakalpojumi ietver pielāgotu programmatūru, mobilās lietotnes, mākoņdatošanas konsultācijas un uz mākslīgo intelektu vērstus risinājumus, kas izstrādāti, ņemot vērā klientu vajadzības tādās nozarēs kā finanšu pakalpojumi, telekomunikācijas, biotehnoloģijas un plašsaziņas līdzekļi. Software Mind ar vairāk nekā 1 000 darbiniekiem atbalsta globālajos tirgos strādājošu uzņēmumu tehnoloģiju iniciatīvas un digitālo izaugsmi.
Senior Python Backend Engineer
Build Python, Azure, and Databricks data platforms for a leading insurance company. Process vulnerability intelligence to help businesses reduce cyber risk.
Apraksts
- Develop and maintain Python backend services and REST APIs.
- Create scalable systems to ingest, process, and transform large datasets.
- Use Microsoft Azure for containerized workloads, batch processing, PostgreSQL, and event-driven systems.
- Help shape cloud-native architecture, CI/CD pipelines, and Infrastructure as Code.
- Apply Databricks and modern data-processing methods.
- Partner with engineers on system design, data models, and platform enhancements.
- Raise software quality through code reviews, automated tests, and mentoring junior developers.
- Use AI-assisted tools to support coding, testing, technical analysis, and faster problem-solving.
- Develop a proprietary platform that detects vulnerabilities and helps a leading UK insurance company reduce cyber risk.
Prasības
- Bring at least five years of commercial Python development experience, primarily in backend engineering.
- Have strong experience developing backend applications and REST APIs.
- Know SQL well and have used PostgreSQL or another relational database.
- Have practical experience with AWS and/or Azure, Docker, and CI/CD pipelines.
- Have built data-intensive applications, data pipelines, or systems that process large datasets.
- Understand software engineering best practices, testing, and clean code.
- Have experience with Databricks or another modern data platform.
- Be familiar with event-driven architectures, asynchronous processing, and distributed systems.
- Have hands-on experience with Azure services such as Azure Container Apps or Batch Processing.
- Have used Infrastructure as Code tools such as Terraform.
- Have experience with Azure DevOps and deployment automation.
- Have practical experience using AI-assisted software development tools.
Priekšrocības
- Flexible, remote work arrangements.
- International projects with leading global clients.
- Travel opportunities connected to international projects.
- A non-corporate working environment.
- Access to language classes.
- Opportunities to take part in knowledge-sharing initiatives.
- Access to private healthcare and life insurance.
- Access to a Multisport card.