Software Engineer, I

Analyzes, develops, designs, and maintains software for the organization's products and systems. Performs system integration of software and hardware to maintain throughput and program consistency. Develops, validates, and tests: structures and user documentation. Work may be reviewed for accuracy and overall adequacy. Follows established processes and directions.

• Understanding of scripting, Automation and AI tools.
• Should have automation knowledge of generating meaningful metrics, reports of build and build machine usage.
• Introduce cloud best practices for deploying Zebra Analytics solution in Google Cloud Infrastructure.
• Develop and maintain CI/CD pipelines with DevOps team. Automate and maintain Google Cloud infrastructure and the deployment of environments and applications.
• Build an effective Site Reliability (SRE) infrastructure for proactive performance risk mitigation.
• Assist troubleshooting issues encountered in data ingestion pipelines.
• Deploy and manage data pipeline infrastructure with automation.
• Design, implement and maintain security standards for deployment procedures and best practices experience.
• Support the administration of multiple Big Data applications.
• Automate deployments and rollbacks in production.
• Research implementation and maintenance of new and existing tools.
• Develop world class deployment systems using existing technologies.
• Assist team members to troubleshoot infrastructure, security, and development problems.
• Develop and deliver real-time data integration projects.
• Dives in and solve complex technical problems and design issues.
• Exercises judgment in selecting methods and techniques for obtaining solutions
• Receives little instruction on day-to-day work and general instructions on new assignments
• Works as a part of scrum team in co-ordination with other team members to deliver functionality in a short release cycle.

* Strong background in Linux/Unix Administration and Cloud Infrastructure
* Experience with scripting languages and using them in automation (primarily Bash and Python, others are a plus)* Experience building and maintaining production systems on GCP using GCS buckets, Ephemeral VMs, Auto Scaling, VPC, etc. and familiarity interacting with the GCP APIs/CLIs* Experience with Monitoring tool sets and custom alerting, log analysis* Experience with running code review, build scheduling, release orchestration and artifact management applications like Gerrit, Jenkins, Artifactory and CloudBees CI/CD, load balancers and similar technologies in production environment* Experience with databases (MySQL, MariaDB, MongoDB, PostgreSQL, Cassandra, Solr)* In depth knowledge about networking and security protocols and best practices (TCP/IP, IPSec,   TCPdump)* Experience with automation/configuration management tools Chef, Puppet or an equivalent* Experience with container technologies* Work with team contributing to design and architecture* Understanding of source control systems and experience with source code management tools like Git (nice to have)* Conduct Performance Testing to ensure system reliability, capacity and scalability.* Experience working with Agile methodologies* Collaborate with team members from Development, QA and Support* Experience with Continuous Integration and Continuous Delivery* Work with Release Manager and development teams to deploy software releases* Ability to quickly triage problems, identify root causes, and drive issue resolution

Experience -6 months to 1 Year .