Senior Associate Director, Software Engineering

• Working closely with the Data Product team as a Technical Product Owner and drive the Securities Services (SSv) Data Strategy
• working as a Technical Lead in projects to directly guide/influence team members of data/backend/advanced analytical/cloud specialists in the architecture/solution design, low-level implementation design, development, testing, release and support of SSv Data & Digital products
• share knowledge and enforce engineering best practices in the daily work
• providing hands-on technical expertise to identify technical challenges in various strategic projects
• explore and exploit new techniques or tools to refactor, improve and simplify the capabilities of SSv Data platform
• providing people leadership to engineers
• manage their performance and objectives
• provide the necessary coaching to constantly improve the team's technical and soft skills and run a highly engaged and motivated team
• contributing to the group wide technology initiatives like Digital Acceleration Programme, TRCB, Operation Resilience, AI/ML adoption etc.
• accountable for ensuring compliance of the products and services with mandatory and regulatory requirements, control objectives in the risk and control framework
• accountable for operational stability, integrity, availability, service resilience, service sustainability and recovery time objectives are met for all the solutions in the SSv Data Platforms

• Degree in Computer Science or other related discipline and minimum 10 years' working experience in the fields related to data engineering, cloud and machine learning/AI
• proven experience of hands on people leadership skills and managing multi-cultural teams globally
• proficient in the common open source technologies such as Spark, Flink, Starburst/Trino, duckdb, dbt, HBase, ElasticSearch, Kafka, Airflow, Iceberg, parquet etc.
• proficient in GCP data related products, such as BigQuery, GCS, Composer, BigTable, Dataflow etc. and having knowledge of DataProc, Percolator, Spanner etc.
• knowledge and experience about the common data governance practices and products such as Dataplex, OpenMetadata, Altas etc.
• proficient in Java and Spring ecosystem such as SpringBoot, SpringMVC, SpringCloud, Python and FastAPI, Redis, MySQL/PostgreSQL, GCP related products such as VPC, GCE, CloudRun Service/Job, GKE, PubSub etc.
• in-depth knowledge and experience with machine learning/AI techniques and algorithms
• experience with NLP such as Rasa NLU, embedding techniques, RAG, promptings, involvement in search engine or recommendation system
• experience with DevOps with techniques such as Jenkins, Terraform, Packer etc.

Experience with NLP such as Rasa NLU, embedding techniques, RAG, promptings, involvement in search engine or recommendation system

• Continuous professional development
• flexible working
• opportunities to grow
• inclusive and diverse environment