Job responsibilities
- Participates in, design and develop scalable and resilient systems using Python to contribute to continual, iterative improvements for product teams
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Computer Engineering concepts and 5+ years applied experience in Computer Science, Information Technology, Electronic Engineering, or Software Engineering.
- Strong experience in developing enterprise software and proficiency in multiple technologies, preferably AWS, Hadoop, and Python
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Proficiency in automation and continuous delivery methods
- Proficiency with ETL
- Demonstrated proficiency in software applications, big data platform, and technical processes within a data technology and management.
- Creates Strong experience with Infrastructure as Code (IaC) solutions such as Terraform / Ansible
- In-depth knowledge of the financial services industry and their IT systems
- Strong experience in developing enterprise applications using Python.
Preferred qualifications, capabilities and skills
- Experience with container technologies such as Kubernetes, Docker, and AWS EKS
- Proficiency in setting up alerting and monitoring tools like Datadog, Grafana, Splunk, Dynatrace
- Experience in CI/CD pipeline preferably Jenkins & Spinnaker and Version Control tools (BitBucket, GIT)
- Demonstrated knowledge of software applications and technical processes within a public cloud environment
- Strong critical-thinking and problem-solving skills with clear communication.
- Understanding the importance of great documentation with a passion for helping customers.