Senior Software DevOps Engineer - Investment Banking Data Analytics Group Senior Software DevOps Engineer - Investment  …

J.P.Morgan
in London, United Kingdom
Permanent, Full time
Last application, 14 Apr 21
Competitive
J.P.Morgan
in London, United Kingdom
Permanent, Full time
Last application, 14 Apr 21
Competitive
The CIB Data Analytics Technology group partners with a team of Data Scientists that work with lines of business to implement modern analytical techniques to solve business problems. As a Senior Software Engineer, you will help build a meaningful engineering discipline, combining data, software and

The CIB Data Analytics Technology group partners with a team of Data Scientists that work with lines of business to implement modern analytical techniques to solve business problems. As a Senior Software Engineer, you will help build a meaningful engineering discipline, combining data, software and systems in order to engineer and maintain data science and AI solutions. Much of our support and software development focuses on building AI and machine learning capabilities in the firm, utilizing internal infrastructure and cloud platforms.

Responsibilities:

  • Build large-scale batch, ETL and real-time data pipelines using cloud and on-premises data technologies, such as Redshift, Athena, DBT, Apache Airflow and Apache Kafka
  • Run proofs of concept to compare vendor products, and integrate 3rd party solutions for production use in the firm
  • Guide and coach junior team members
  • Prioritize solving customer requests and issue reports, participate in support coverage

Requirements:

  • BS/BA degree or equivalent experience in computer science or engineering
  • Advanced knowledge of application, data and infrastructure architecture disciplines
  • Experience with at least one major RDBMS or NoSQL storage engine
  • Expert level skills in Python, its standard library and its package ecosystem (i.e. Pytest, Tox, Pandas, Requests, Pylint, Boto3, Jinja)
  • Experience with CI/CD systems (e.g. Jenkins), and automation/DevOps best practices
  • Clear and effective verbal and written communication skills and ability to communicate seamlessly across tech and data scientist teams
  • Ability to work in large, collaborative teams to achieve organizational goals, passionate about building an innovative culture

Desired Additional Experience:

  • Containers and cloud proficiency including Docker, Kubernetes, AWS, GCP
  • Knowledge of workflow orchestration tools such as Apache Airflow
  • Experience with AI/ML technologies


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