Milestone Systems is a leading provider of data-driven video technology software. Our portfolio comprises XProtect video management software and over 14000 supported devices. Every new device we add to the Milestone ecosystem increases our footprint in the video technology industry.
With our unique video technology software, you help people make wiser and more responsible decisions – in and beyond security. Whether you advance our software, inspire new integrations, or elevate our customers, you are part of a growth company recognized by the industry. We have a unique people-first approach to everything we do, and it’s not just empty words. Being part of a fun, friendly, and flexible environment, you’ll find that working here almost feels like home away from home.
About the team:
The Media Metadata team will be responsible for capturing, structuring, and querying media analytics events and metadata, enabling the Product Experience teams to deliver cutting-edge features.
We are now looking for a Senior Software Engineer – Data to join the team in Sofia, Bulgaria (hybrid mode of work – a combination of in-office and working from home).
Responsibilities:
Be part of an Agile scrum team and participate in daily meetings, code, or architectural reviews
Design and develop new functionalities for the product, using technology stacks based on Golang, Docker, and Python (integration tests).
Develop APIs to expose data and functionality to frontend applications
Work with and utilize your solid knowledge of containerization, network protocols, Linux/Unix, CI/CD tools, and technology like GitHub Actions
Accounts for the high quality of the product – write unit and integration tests.
Accounts for the performance, reliability, usability, and serviceability of the feature
Understanding of the overall product architecture is reflected in one’s designs and implementations
Collaborate with cross-functional teams
Share knowledge and experience with the team.
Provides technical guidance
Taking ownership of your learning journey to grow as a professional.
How you can match:
5+ years of professional experience as a software engineer working with data.
Strong knowledge and experience with different databases – document-based, relational.
Experience in optimizing data storage and retrieval processes for performance and scalability
Experience in creating efficient data models and schemas to support analytics and operations
Complete understanding of the SDLC process and microservice architectures.
Excellent verbal and written communication English skills. English is the working language.
Experience with stacks based on Golang, Docker, Python, and API design is considered an advantage.
Knowledge of containerization, network protocols, Linux/Unix, CI/CD tools, and technology like GitHubActions is considered an advantage.
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