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The Senior Technical Lead role involves leading engineering activities and design decisions for a cross-asset calculation system using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, and distributed infrastructures. It focuses on public cloud onboarding, platform scalability, and financial risk calculations.
Job Responsibility:
Steering platform onboarding into AWS and Google Cloud, while collaborating with Citi HPC team and AWS/Google partners
Challenging proposed and provided solutions in terms of performance, robustness and cost effectiveness
Making decisions regarding technical direction of platform, including evaluating new technologies and executing proof-of-concept implementations, with good understanding of various limitations
Identifying and defining necessary system enhancements to improve current processes and architecture
Hands-on coding of fixes, features, and improvements
Investigating reported or observed platform issues
Reviewing pull-requests from other team members and giving robust critique/feedback
Identifying and proposing teamwork enhancements
Reviewing requests for new features, balancing user requirements with defending the platform from complexity and low-value features
Collaborating with key partners across the firm for extending the platform, such as: the infrastructure provider group
quant group
upstream and downstream systems
Mentoring/coaching junior developers on coding/architecture approaches and best practices
Requirements:
Expert knowledge of distributed systems including event-driven architecture
at-least-once messaging
CAP Theorem
horizontal and vertical scaling strategies
massively distributed architectures
Expert knowledge of Java, JVM, memory management, garbage collection
Thorough understanding of multithreaded environment challenges
Expert knowledge of Spring, SpringBoot framework and associated technologies
Expert knowledge of test frameworks, such as Junit, Mockito, writing easily-testable code
Expertise in Java debugging, including remote debugging of services deployed to K8s
Expert knowledge of Kubernetes and associated technologies such as KEDA, Karpenter, ClusterAutoscaler, CoreDNS
Expert knowledge of SQL and/or NoSQL database technologies
Expert knowledge of various messaging protocols and technologies such as REST, HTTP/S, AMQP, WebSocket
Expert knowledge of Confluent Kafka
Experience and good understanding of core technologies provided by GCP/AWS, such as S3, FSX, EKS, SQS, SNS, Kinesis, AmazonMQ, DynamoDB, GKE, CloudStorage, PubSub, Filestore
Knowledge of modern observability technologies such as ELK, Splunk, Prometheus, Grafana, Micrometer
'What-if' thinking, while designing or reviewing solutions, to foresee or catch potential problems as early in the development process, as only possible
Nice to have:
Good knowledge of Python, Groovy, Bash
C++ basic knowledge/experience
Good knowledge of PubSub model
Good knowledge of Finance, especially large-scale risk calculation
Good knowledge of representing complex calculations as graphs of instructions which can be horizontally distributed
What we offer:
Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance-related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources
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