Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
- Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
- Assess and document business impacts during incidents and manage escalations to stake holders as needed
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and proficient applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s) (e.g., Java, Python, Bash, and understanding of frameworks - Spring)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Strong experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such Geneos, Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- AWS exposure (understanding and working experience in AWS applications, and understanding of resiliency, scalability, observability, monitoring, etc.)
- Ability to identify and solve problems related to complex data structures and algorithms
- Troubleshoot common networking technologies and issues