Posted:3 weeks ago|
Platform:
On-site
Full Time
Senior Software Engineer is responsible for leading the development and delivery of feature sets according to the product road map.
The Sr. Software Engineer works closely with the product owners, architects and other engineers to come up with the optimal low level implementations, which is in line with HUBs internal standards and reference architecture guidelines. You will also mentor other engineers in the team to write the highest quality code, while being the
Remember, this is a greenfield project - the only legacy that exists will be the one you create!
· Implementing and delivering the products’ feature set with the highest quality, limiting technical debt where possible
· Understanding the pros and cons of complex architecture patterns and translating these into technical implementations
· Maintaining a high level of User Story hygiene including estimation and status updates
· Keeping up to date with the latest technology trends and releases
· Mentoring other Engineers and doing code reviews
· Participating in hiring activities across the firm
· Delivering in scenarios where you may not agree with every design decision
· Being curious – never be afraid to ask questions
Must have:
· 5+ years writing core Java in any environment (Large Enterprise, SME, or Start-up), including modern Java like Streams, Lambda Expressions and Functional Programming.
· Experience building high volume, distributed systems
· Experience with Spring Boot, RESTful APIs and AVRO/gRPC
· Familiarity with event driven technologies (Kafka, Event Buses, etc…)
· Experience working with CI/CD pipelines with one of: Jenkins, GitLab CI, GitHub Actions, Azure DevOps Pipelines
· Familiarity with at least one major public cloud provider (AWS, Azure or GCP)
· Comfortable working in an Agile environment where iterative development and regular demos are the norm
· A natural problem solver
Nice to have:
· Familiarity with a multitude of microservice architecture patterns (Sidecar, Ambassador, Anti-corruption layer, Gateway Routing, BFF etc…)
· Experience with big data & real time analytics particularly with distributed datasets and large volumes in a Data Warehouse
· Experience with container orchestration tools such as Kubernetes as well as docker
· Experience with stream processing technologies (Spark, Flink, etc...)
· Familiar with Web 3.0 concepts, Distributed ledger technologies, etc.
· Asset management domain experience, for e.g. post trade, reference data, etc.
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