Senior DevOps Data Engineer

At our Client's Group their Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Client's Group businesses. This allows their businesses to make better decisions by using data and analytics to understand their customers, operations, and markets. The ACoE is an essential part of client Group's digital transformation strategy. The unit is helping Client Group to become a more data-driven organization and to make better decisions by using data and analytics.

The Senior DevOps Data Engineer is a core member of the DevOps platform or enablement team who builds, maintains and rolls out CI/CD pipelines as service to the autonomous team to enable them deliver software better and quicker for the Client's group. The role involves the design, development, implementation and maintenance of continuous deployment solutions and products, and coaching the software engineers on DevOps, automation and cloud adoption.

In this role, you will:

• Create and maintain fully automated CI/CD pipelines for code deployment, integration of test automation, code quality, telemetry and orchestration for automated build and release of software.
• Configure, tailor and build pipelines to support continuous integration and delivery for products and technologies that will help optimize for performance, scalability and supportability by working in enablement team of Agile release trains.
• Actively guide teams on container deployment & orchestration, manages, improves and monitors cloud infrastructure including cloud shared services/landing zones.
• Build and deploy Docker containers to break up monolithic app into microservices, improving developer workflow, increasing scalability, and optimizing speed.
• Design effective monitoring, alerting and log aggregation to identify and respond to issues proactively to improve reliability of solutions, well versed with key container orchestration technologies and containerisation principles and works guided by Senior technical engineer on infrastructure cloud migration, virtualisation, performance analysis, log storage systems and new functionality enablement, in a multi-cloud environment
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions
• Work with senior technical engineers in the technical design process by contributing in the analysis of technical application requirements.
• Troubleshoot issues, fixes defects that are moderate to high complexity and carry-out testing independently.
• Shadows Senior Technical Engineer/ Principal Engineer to design and architect components and collaborate with members of the cross functional team to identify areas of inefficiency and propose solutions.
• Apply Site reliability principles to ensure availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning and act as a bridge between development and operations by applying a engineering mind-set to system administration.

Requirements

Key Responsibilities

•Create and maintain automated CI/CD pipelines for software deployment

•Configure pipelines for continuous integration and delivery

•Guide teams on container deployment and orchestration

•Build and deploy Docker containers for microservices

•Design monitoring and alerting systems for reliability

•Analyze technical application requirements with senior engineers

•Troubleshoot and fix moderate to high complexity defects

•Collaborate with cross-functional teams to identify inefficiencies

•Apply site reliability principles for performance and availability

•Coach software engineers on DevOps and automation practices

Qualifications

•Bachelor's degree in Computer Science or related field

•Minimum 5 years of experience in DevOps or Data Engineering

•Certifications in cloud technologies preferred

•Experience with Agile development practices

•Strong analytical and problem-solving skills

•Familiarity with software development lifecycle

•Experience in a multi-cloud environment

•Knowledge of site reliability engineering principles

Benefits

• Private Health Insurance
• Paid Time Off
• Performance Bonus