
Senior Backend Systems Developer
14 hours ago
As a key member of our team, you will be responsible for designing and developing highly available, scalable, and fault-tolerant systems. Your technical leadership skills will enable you to lead a team of focused engineers and apply your expertise towards solving complex architecture and implementation challenges.
">- We are looking for a skilled System Engineer to join our team.
- Key Responsibilities:
- - Design and develop high availability, scalability, and fault tolerance into our systems.
- - Lead a team of engineers to achieve stable performance under load with predictable SLA.
- - Manage the product development lifecycle and support the created product throughout the entire release cycle.
- - Work with clusters, routers, and grids.
- - Participate in improving development processes and improve the effectiveness of teamwork.
- - Explore advanced technologies while solving complex problems.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field is required.
- 12+ years in an engineering software development role building backend services and APIs.
- Strong experience leading the design and implementation of robust and highly available and scalable systems/web services using object-oriented methodology, design patterns, SOA, microservices architecture, container technologies, container management/orchestration systems such as Kubernetes, Mesos, etc.
- Proven track record in delivery of event-driven, highly available, scalable, resilient enterprise-grade commercial cloud services.
- Proficiency in developing Java applications.
- Advanced knowledge of Java Core, Collections, Multithreading and Java Memory Model, and Garbage collection.
- Deep understanding of microservices architecture paradigm, event-driven system design, distributed systems, and eventual consistency principles.
- Experience developing REST services: REST manifesto, stateful/stateless services, load balancing strategies.
- Strong RDBMS skills: writing advanced queries, designing table structure/indexes/triggers, query optimization/query plan analysis.
- Strong analytical and problem-solving skills with a solid understanding of data structure, algorithms, and their applications.
- Hands-on experience deploying applications using Kubernetes.
- Experience working with Kafka or other messaging queues.
- Experience with Contact Center solutions is a plus.
- Experience with AWS-native technologies (S3 DynamoDB, Athena, EC2) is a plus.
- Experience with data stream processing technologies and frameworks (Apache Flink, Apache Spark) is a plus.
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