Senior Backend Software Engineer
Role Overview
Senior Backend Software Engineer shaping the technology roadmap and architecture while developing scalable applications for Meltwater's data and analytics platforms.
The description also mentions work across frontend, backend, databases, and cloud infrastructure, with ReactJS called out in the candidate profile.
Key Skills for This Role
Full Job Posting
Role overview
Senior Backend Software Engineer shaping the technology roadmap and architecture while developing scalable applications for Meltwater's data and analytics platforms.
The description also mentions work across frontend, backend, databases, and cloud infrastructure, with ReactJS called out in the candidate profile.
Responsibilities
- Build Python backend services, APIs, microservices, event-driven systems, and data processing workflows.
- Design for availability, reliability, scalability, performance, and observability.
- Operate services in cloud environments and work with relational, document, and key-value databases.
- Collaborate with product, engineering, data science, and other stakeholders; guide architecture and engineering standards.
- Mentor engineers, review code and designs, troubleshoot production issues, and improve system performance.
Requirements
- 7+ years of professional backend software development experience and expert-level Python proficiency.
- Extensive production experience with large-scale backend systems, REST APIs, microservices, and distributed systems.
- Strong knowledge of scalability, performance, fault tolerance, and reliability.
- Experience with Kafka or RabbitMQ; PostgreSQL, MySQL, MongoDB, and Redis; AWS; Docker and Kubernetes.
- Experience with data pipelines, CI/CD, automated testing, monitoring, and observability.
- Strong debugging, problem-solving, communication, and collaboration skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Preferred experience
- Modern DevOps practices and cloud-native architectures are sought.
- Nice to have: machine learning systems, frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost, and MLOps.
- Nice to have: LLMs, generative AI, RAG, NLP, Spark, Airflow, Ray, vector databases, semantic search, or AI-powered applications.
- Experience in media intelligence, analytics, SaaS, or data platforms and contributions to open-source or engineering communities are listed as nice to have.
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