Responsibilities:
- As a Senior DevOps engineer, you will be in charge of planning and deploying production servers on AWS, deploying services and managing Kubernetes clusters, monitoring our infrastructure, and supporting our development teams.
- Develop, automate, and enhance applications built on AWS
- Lead discussions with developers, driving technical/architectural decisions relating to DevOps/AWS best practices
- Deploy Infrastructure as code (IAC) to improve the availability, scalability, and efficiency of platforms
- Develop and enrich our platforms by leveraging open source software.
- Design and implement low-latency networking products.
- Ensure the availability, performance, scalability and security of production systems.
- Build automated tests, monitoring and alerting mechanisms to help assure quality and stability of various services.
- System troubleshooting and problem-solving across the platform.
- Suggest and implement best practices and architecture improvements.
- Utilize best in class code automation strategies.
- Contribute to better cost management through efficient utilization of compute and storage resources.
- Document processes and maintain software development records.
Qualification:
- 5+ years of experience with AWS Cloud Services in a 24x7 uptime environment
- Good knowledge of Linux and shell scripting
- Basic understanding of relational database management systems (PostgreSQL)
- Experience with deployment and orchestration technologies such as Terraform, CloudFormation, Ansible, Gitlab, Jenkins (or similar platforms).
- Intensive knowledge of most core DevOps concepts and tools spanning source control, CI/CD, Infrastructure as Code, monitoring, alerting, and logging
- Extensive proficiency with Java, Python, Scala, and SQL; this includes all aspects from development through to production (build tools, deployment tools, deployment methods, configuration strategies, etc)
- Deep knowledge of AWS Cloud Computing (scalability and optimization)
- Knowledge of orchestration frameworks (e.g. Airflow) and containerization (e.g. Docker, Kubernetes)
- Experience with Big Data (Hive, Spark, Trino, etc.) is a plus
- Experience with system monitoring tools, analyze and resolve complex infrastructure and application deployment issues
- Experience in SQL and relational database management systems
- A bachelor’s degree in computer science or related fields, or equivalent work experience
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