Sr. Staff Full Stack Software Engineer – Infrastructure Platforms
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BrandwatchSoftware Engineering
Budapest, Hungary; Sofia, BulgariaFull-TimeStaff
Salary68,000 - 76,000 EUR per year
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Job Details
- Experience
- Typically 10+ years of professional software engineering experience
- Required Skills
- DockerPythonSQLETLFull Stack DevelopmentJavaKubernetesC#Go
Requirements
- Extensive experience as a Staff or Senior Full Stack Software Engineer working on complex, production systems.
- Proven ability to operate independently in ambiguous problem spaces.
- Strong backend engineering experience, including API design and data-intensive services.
- Experience building data-driven applications involving ingestion, transformation, and analysis.
- Proficiency in one or more backend languages such as C#, Python, Go, or Java.
- Strong SQL skills and experience with relational databases.
- Hands-on experience with Docker and containerized application delivery.
- Solid understanding of distributed systems fundamentals and cloud-native application design.
- Experience working with CI/CD pipelines and modern software development workflows.
- Excellent technical judgment, communication skills, and ability to influence without authority.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Typically 10+ years of professional software engineering experience.
Responsibilities
- Architect, build, and own full-stack software platforms supporting enterprise infrastructure and operations teams.
- Lead the technical design of systems that ingest, process, analyze, and expose infrastructure and operational data at scale.
- Develop backend services and APIs for data collection, enrichment, and querying.
- Build and maintain web interfaces with advanced search, filtering, and usability tailored for technical users.
- Design and implement ETL and data processing pipelines for structured and semi-structured data sources.
- Ensure applications are fully containerized and production-ready using Docker and Kubernetes-based deployment models.
- Act as a technical authority on system design, performance, reliability, and maintainability.
- Collaborate with platform, infrastructure, security, and product stakeholders to shape solutions.
- Set and uphold engineering best practices around testing, code quality, documentation, and operational readiness.
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