Cloud Reliability Engineer

5 days ago

Mumbai, Maharashtra, India Session AI Full time
Job Description

We are seeking a skilled Cloud Reliability Engineer to join our Site Reliability Engineering Group at Session AI. As a key member of our team, you will be responsible for ensuring the seamless operation of our Cloud platform, with a focus on availability, performance, and stability.

The ideal candidate will have over five years of experience managing cloud-based Big Data solutions, with a strong commitment to resolving operational challenges through automation and sophisticated software tools.

Key Responsibilities:

  • Design and implement solutions to enhance the availability, performance, and stability of our systems, services, and products.
  • Develop, automate, and maintain infrastructure as code for provisioning environments in AWS, Azure, and GCP.
  • Deploy modern automated solutions to enable automatic scaling of the core platform and features in the cloud.
  • Apply cybersecurity best practices to safeguard our production infrastructure.
  • Collaborate on DevOps automation, continuous integration, test automation, and continuous delivery for the Session AI platform and its new features.
  • Manage data engineering tasks to ensure accurate and efficient data integration into our platform and outbound systems.
  • Utilize expertise in DevOps best practices, shell scripting, Python, Java, and other programming languages, while continually exploring new technologies for automation solutions.
  • Design and implement monitoring tools for service health, including fault detection, alerting, and recovery systems.
  • Oversee business continuity and disaster recovery operations.
  • Create and maintain operational documentation, focusing on reducing operational costs and enhancing procedures.
  • Demonstrate a continuous learning attitude with a commitment to exploring emerging technologies.

Preferred Skills:

  • Experience with cloud platforms like AWS, Azure, and GCP, including their management consoles and CLI.
  • Proficiency in building and maintaining infrastructure on:
    • AWS using services such as EC2, S3, ELB, VPC, CloudFront, Glue, Athena, etc.
    • Azure using services such as Azure VMs, Blob Storage, Azure Functions, Virtual Networks, Azure Active Directory, Azure SQL Database, etc.
    • GCP using services such as Compute Engine, Cloud Storage, Cloud Functions, VPC, Cloud IAM, BigQuery, etc.
  • Expertise in Linux system administration and performance tuning.
  • Strong programming skills in Python, Bash, and NodeJS.
  • In-depth knowledge of container technologies like Docker and Kubernetes.
  • Experience with real-time, big data platforms including architectures like HDFS/Hbase, Zookeeper, and Kafka.
  • Familiarity with central logging systems such as ELK (Elasticsearch, LogStash, Kibana).
  • Competence in implementing monitoring solutions using tools like Grafana, Telegraf, and Influx.

Benefits

  • Comparable salary package and stock options
  • Opportunity for continuous learning
  • Fully sponsored EAP services
  • Excellent work culture
  • Opportunity to be an integral part of our growth story and grow with our company
  • Health insurance for employees and dependents
  • Flexible work hours
  • Remote-friendly company

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