Engineering Manager

Key Skills

Ansible, Apache Cassandra, Apache Hadoop, AWS, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Database, DevOps, Docker, Effective communication skills, Elasticsearch, Google Cloud Platform (GCP), HDFS, Kibana, Kubernetes-K8s, Linux Operating system, MapReduce, Product Management, Project management, Puppet, Python Programming, Shell Scripting language, SPARK Programming

Job Description

Responsibilities:

Align Sigmoid 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 management.
• Design roster and escalation matrix for team

Provide technical leadership and manage it day to day basis

• Guiding devOps in day-to-day design, automation & support tasks
• Play a key role in hiring technical talents to build the future of Sigmoid.
• Conduct training for technology stack for developers in house and outside

Culture

• Must be a strategic thinker with the ability to think unconventional / out:of:box.
• Analytical and data driven orientation.
• Raw intellect, talent and energy are critical.
• Entrepreneurial and Agile: understands the demands of a private, high growth company.
• Ability to be both a leader and hands on doer.

Qualifications:-

• 10+ 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 GCP/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 environment

Preferred 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 systems

Skills 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, Puppet