Roles & Responsibilities:

•    Develop and deploy high quality software solutions with comprehensive test coverage without supervision.
•    Analyse business objectives and identify functional and non-functional requirements.
•    Design and implement technical solutions for functional and non-functional requirements.
•    Provide accurate estimates for the development effort for new features.
•    Continuously improve and improvise to find the best solutions for business
•    Provide mentoring and technical assistance to other members of the team.
•    Work well with different team members whilst practicing knowledge sharing and T-shaping
•    Apply and promote industry best patterns and practices with focus on test automation.
•    Take ownership of initiatives and assets and follow up to provide highest quality of customer service
•    Contribute to the strategic engineering goals within own team / platform 

Essential Skills:

•     Experience: 16+ years of industry experience in enterprise-level engineering, preferably in in high-volume transaction processing, API-oriented platforms.
•    Familiarity with API specification, design, registration and tooling (eg OpenAPI, Kong)
•    Expertise in event-driven architectures (Kafka, MQ) and orchestration (Apache Camel, Temporal, Mulesoft)
•    Experience in distributed, low latency environments.
•    Language orientation: Experience on C#, .NET Framework Core, essential. SOAP/REST APIs, Microservices and containerisation a plus. Node, Python and scripting knowledge useful
•    Soft skills: Excellent communication skills. Working experience with Agile methodologies.
•    Cloud: Experience on cloud migrations and deployment, with preference for AWS Cloud
•    Artificial Intelligence: Experience in AI technologies, particularly around tooling enhancements will be valued.
•    CI/CD: Familiarity with usage and configuration of fully automated pipelines is useful. This includes GitHub Actions, Artifactory and CloudFormation
•    DevOps: Familiarity with DevOps-managed environments. Specifically, around observability tools (Splunk, Grafana, Promethius, PagerDuty)
•    Test Automation: Unit/Integration/Acceptance/Performance testing experience in API.
•    Security: Defence in depth, including identity management, encryption and public cloud security obligations
•    Databases: Relational databases (e.g. Postgres / Oracle), as well as data warehousing and No-SQL databases (MongoDB).