Manager, Engineering
Manager, Engineering
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Job Description
Common accountabilities:
- Manages a team of Staff employees and has accountability for their performance and results. Sets performance objectives conducts
performance reviews and recommends pay actions.
- Defines a vision for the team in line with the department strategy and operational challenges and translates it into a concrete action plan.
Works with a high level of autonomy with some guidance from Senior Manager.
- Acts as a reference across multiple areas anticipating solutions to complex problems.
- Optimizes efficiency based on knowledge and experience with the policies procedures and business plan.
Specific accountabilities:
Accountability / Business acumen
- Define and share the technical/functional team roadmap and vision according to the department/division/company objectives
- Report on team activities
- Be accountable for the performance and results of a unit within own discipline or function
- Develop plans and priorities to address resource and operational challenges
- Suggest alternatives / improvements / new techniques in processes flows operational models and plans
- Moderate budgetary impact on business
Decisions are guided by policies procedures and business plan; receive guidance from senior manager
Technical excellence
- Timely manage the investigation and resolution of production support issues and customer inquiries
- Collaborate with other software development architecture solutions and QA teams to ensure that software systems are designed for
testability stability scalability and performance.
Communication
Ensure timely and appropriate communication to team members regarding company/organization information
Technical Skill:
Overall 10-12 years of industry experience in the development and operation of Big Data Infra & Application.
4-5 years of experience working in distributed Azure cloud-based environments
Good understanding of working with Big Data Tech stacks: Apache Hadoop Kafka Spark Hive Flume Sqoop
PostGres resource managers/orchestrator Kubernetes Oozie airflow etc
Good understating on Cloud platforms ecosystem and automated configuration frameworks & tools experience like Data
mesh Databricks Synapse etc
Have a solid grasp of scalability stability and security challenges of a customer-centric cloud-based application
Container and virtualization technologies experience.
Continuous integration and delivery pipelines principles experience.
Experience in infrastructure and log monitoring using tools like Graphana Prometeus Nagios Zambia ELK and Splunk etc.
General understanding of network layers (TCP/IP load balancing...) is a plus.
Experience in working with High level Programming languages like Python Scala R is a plus.
Remote Work :
No
Employment Type
Remote
