Site Reliability Engineer II

Posted 17 Days Ago
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Mumbai, Maharashtra
Senior level
Information Technology • Marketing Tech
The Role
The Site Reliability Engineer II will enhance system performance, stability, and availability while managing infrastructure automation and data engineering tasks across cloud platforms.
Summary Generated by Built In

Description

Are you ready to make your mark with a true industry disruptor? ZineOne, a subsidiary of , the pioneer of in-session marketing, is looking to add talented team members to help us grow into the premier revenue tool for e-commerce. We work with some of the leading brands nationwide and we innovate how brands connect with and convert customers.

Job Description

This position offers a hands-on, technical opportunity as a vital member of the Site Reliability Engineering Group. Our SRE team is dedicated to ensuring that our Cloud platform operates seamlessly, efficiently, and reliably at scale. The ideal candidate will bring 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.

Candidates must uphold a high standard of excellence and possess robust communication skills, both written and verbal. A strong customer focus and deep technical expertise in areas such as Linux, automation, application performance, databases, load balancers, networks, and storage systems are essential.

Key Responsibilities:

As a Session AI SRE, you will:

  • Design and implement solutions that 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 that 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

Top Skills

AWS
Azure
Bash
Docker
Elk
GCP
Grafana
Hbase
Hdfs
Influx
Java
Kafka
Kubernetes
Linux
Node.js
Python
Telegraf
Zookeeper
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The Company
151 Employees
On-site Workplace
Year Founded: 2014

What We Do

Session AI is the pioneer of In-Session Marketing, the critical capability that leading online retailers need to convert site visitors in a privacy-first world. Using patented machine learning, Session AI predicts purchase intent in five clicks, enabling online retailers to provide each visitor with the right offer in real-time without the need for personally identifiable information or third-party cookies. Learn more about the future of ecommerce marketing at www.sessionai.com

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