DevOps Lead - Cloud Infrastructure

Responsibilities :

• Align with key Client initiatives
• Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
• Connect with VP and Director level clients on a regular basis.
• Travel to client locations
• Ability to understand business requirements and tie them to technology solutions
• Strategically support Technical Initiatives
• Design, manage & deploy highly scalable and fault-tolerant distributed components using Bigdata technologies.
• Ability to evaluate and choose technology stacks that best fit client data strategy and constraints
• Drive Automation and massive deployments
• Ability to drive good engineering practices from bottom up
• Develop industry leading CI / CD, monitoring and support practices inside the team
• Develop scripts to automate devOps processes to reduce team effort
• Work with the team to develop automation and resolve issues
• Support TB scale pipelines
• Perform root cause analysis for production errors
• Support developers in day-to-day devOps operations
• Excellent experience in Application support, integration development and data :
• 8 - 12 years track record of relevant work experience and a computer Science or a related technical discipline is required
• Proven track record of building and shipping large-scale engineering products and / or knowledge of cloud infrastructure such as Azure / AWS preferred
• Experience in Shell, Python, or any scripting language
• Experience in managing Linux systems, build and release tools like Jenkins
• Effective communication skills (both written and verbal)
• Ability to collaborate with a diverse set of engineers, data scientists and product managers
• Comfort in a fast-paced start-up Qualification :
• Support experience in BigData domain
• Architecting, implementing, and maintaining Big Data solutions
• Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc)
• Experience in container technologies like Docker, Kubernetes & configuration management To Look At - Linux, AWS, Build & Release Tools, Scripting - Shell & Python, Docker, Kubernetes, Configuration Management and Databases, Hadoop, spark, ELK (Elastic Search, Logstash, Kibana), big data system such as (Influx DB or Elasticsearch or Cassandra), Ansible, Chef,

ref : hirist.tech)