Work location: Permanent WFH
Working days: 5 days a week
Experience: 7+ years with Java and related framework and 1+ years of experience with AWS.
Job description
- This is a senior-level role in which the selected candidate will be working on a set of containerized micro-services serving high transaction volume (over 50k req/second) and will utilize AWS cloud-native services such as Lambda, Kinesis, S3, Athena, RDS, DynamoDB to achieve high scale and resilience
- You will architect, write technical specs, code, troubleshoot, and support scalable services in a high volume and low latency environment.
- Our tech stack includes Java 11, Spring Boot, AWS RDS, AWS DynamoDB, AWS S3, Kinesis, Lambda, ElastiCache, EMR. Infrastructure components include Kubernetes, Prometheus/Grafana, TeamCity, SonarQube, JFrog Artifactory, TeamCity, Gradle.
- This position closely works with data engineers and provides exposure to various big data technologies, platforms.
- Lot of work will be focused on scaling and performance optimization. Use of advance software engineering concepts such as multithreading, event driven architecture, design patterns, observability, containerization (Kubernetes), serverless systems
Responsibilities
- Analyse user and system requirements
- Design, develop and deploy backend services with a focus on high availability, low latency and scalability
- Familiar with how to build production ready services including observability
- Build and operate infrastructure, toolset and deployment pipelines
- End-to-end delivery including design, development and unit/functional testing of API(s) and services
- Collaborate closely with other engineers and become a valued member of an autonomous, cross- functional team
- Participate in preparing TDD/Design documents to illustrate software solutions
- Writing efficient code based on feature specifications
Skill set
- Experience building Java based microservices architecture and any popular Java frameworks like Spring Boot. Experience with containerisation and container orchestration (Docker and Kubernetes preferred) in a cloud environment (AWS preferred)
- Familiarity with Object-Oriented Design (OOD)
- Good knowledge of SQL, No-SQL
- Experience with test-driven development
- Strong Analytical, troubleshooting, and problem-solving skills
- Experience building and supporting services that can scale for high-volume production traffic
- Strong grasp of concepts such as multithreading, event driven architecture, design patterns, observability, containerization (Kubernetes), serverless systems