On - board Mission Software Developer at Airbus involved in designing and developing mission software for space platforms. Collaborating with international teams on 5G technology via embedded systems in Toulouse.
About the role
- Hands-on LMTS designing high-throughput data platforms and production ML/analytics services at Salesforce. Collaborating across teams to deliver scalable solutions for complex data challenges.
Responsibilities
- Lead design/implementation of scalable data models and domain contracts; ensure performance, integrity, and governance
- Build and optimize ETL/ELT and streaming workloads (batch + near real time) with strong SLAs on quality, latency, and cost
- Drive platform reliability/observability: SLIs/SLOs, lineage, completeness, freshness, and automated parity tests
- Develop, validate, and deploy statistical/ML models and risk-scoring services that deliver actionable insights
- Productionize models as services/microservices with clear interfaces, feature stores, and monitoring for drift & performance
- Ship secure, well-tested software that integrates pipelines and models into applications, APIs, and microservices
- Expose read-only and action APIs for partner systems; enable dashboards (Tableau/CRMA) for executive and customer reporting
- Provide technical leadership and mentorship; raise the quality bar via design reviews, code reviews, and documentation
- Partner with product, security, and platform teams to translate business problems into pragmatic technical solutions
- Stay current on data/ML/cloud trends; evaluate and introduce tools and patterns that move the needle
Requirements
- Bachelor’s or Master’s in CS, Data Science, Statistics, Engineering, or related quantitative field (or equivalent practical experience)
- 8+ years in data engineering / software engineering operating large-scale, high-throughput, low-latency pipelines
- Expertise with Airflow, Spark, Hadoop, Kafka, Flink (or equivalents)
- Strong proficiency in Python, Scala, or Java; solid SQL and experience with at least one NoSQL store
- Practical understanding of statistical modeling and machine learning with production deployments
- Public cloud experience (AWS/Azure/GCP) and managed data services
- Ability to communicate complex technical concepts clearly to technical and non-technical audiences
- Proven problem solving, attention to detail, and results orientation
- Working knowledge of data privacy regulations (e.g., GDPR, CCPA) and secure data handling
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
Job title
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Experience level
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