JPMorgan Lead Software Engineer - Python / DevOps Athens 

Greece, Attica, Athens 

761000777

Job responsibilities

• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Gather, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Build automate framework, product regression packs and test suites
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Automate, integrate, verify and release management of updates into the production environment
• Ensure observability and tuning of the production environment to achieve the lowest latency and highest stability. Working with our application development and infrastructure partners to achieve this.
• Participate and remediation actions of Post Incident Reviews
• Create, maintain and execute upon the results of Plant Hygiene and Metric Reporting

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and proficient applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages, either Python and/or C++
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies
• Exposure to dockers and other container technologies
• Knowledge of Equities Electronic Trading.
• Monitoring & Management of Plant Capacity & Reporting
• Consuming market data feeds and distribution
• Linux: understands the OS architecture, fluent user of the command line,
• Experience of Low Latency Environments and their tuning
• Fix connectivity and exchange protocols