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Kafka Engineer

  • Montreal, QC, Canada

$100,000 to $110,000 CAD / year · Full-time

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Job details

Pay
$100,000 to $110,000 CAD / year
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people’s stories across our workforce and implemented through equitable workplace policies and processes.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Roles & Responsibilities

  • Design, develop, deploy, and maintain scalable messaging and streaming solutions using Apache Kafka.
  • Configure, monitor, and optimize Kafka clusters and related ecosystem components.
  • Develop automation solutions and support tools using Python and Unix Shell scripting.
  • Implement monitoring and observability solutions using Grafana, Prometheus, and related tools.
  • Collaborate with globally distributed Agile teams to deliver large-scale enterprise applications.
  • Analyze, troubleshoot, and resolve production issues across Kafka infrastructure and applications.
  • Perform performance tuning, capacity planning, and reliability improvements.
  • Work closely with application development teams to integrate Kafka-based messaging solutions.
  • Participate in code reviews, technical discussions, and architectural decisions.
  • Create and maintain technical documentation, operational runbooks, and support procedures.
  • Contribute to continuous improvement initiatives across platforms and processes.

Preferred Skills

  • Experience with MongoDB.
  • Understanding of AI/ML concepts and their integration within enterprise systems.
  • Knowledge of cloud-native messaging architectures.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Exposure to containerization technologies such as Docker and Kubernetes would be advantageous.

Salary Range - CA$ 100,000 - CA$ 120,000 Per annum

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

More about this job

Responsibilities

Design, deploy, maintain, and optimize scalable Apache Kafka messaging and streaming solutions, including cluster monitoring, automation, performance tuning, and production support. Collaborate with distributed Agile teams and application developers on integrations, architecture, documentation, and continuous improvement.

Requirements

The role calls for expertise in Apache Kafka and related infrastructure, along with Python and Unix shell scripting, monitoring tools such as Grafana and Prometheus, and experience troubleshooting and improving production systems. Preferred qualifications include MongoDB, AI/ML concepts, cloud-native messaging, CI/CD and DevOps practices, and Docker or Kubernetes exposure; no education requirement is stated.

Skills

  • Apache Kafka
  • Python
  • Unix Shell Scripting
  • Grafana
  • Prometheus
  • MongoDB
  • AI/ML
  • Cloud-Native Messaging
  • CI/CD
  • DevOps
  • Docker
  • Kubernetes
  • Performance Tuning
  • Capacity Planning
  • Production Troubleshooting
  • Agile

Visa sponsorship

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Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics

Keywords

  • Apache Kafka
  • Messaging
  • Streaming
  • Kafka Clusters
  • Python
  • Unix Shell Scripting
  • Grafana
  • Prometheus
  • Monitoring
  • Observability
  • MongoDB
  • AI/ML
  • Cloud-Native Architectures
  • CI/CD
  • DevOps
  • Docker
  • Kubernetes
  • Agile
  • Enterprise Applications
  • Production Support
  • Performance Tuning
  • Capacity Planning
  • Reliability
  • Technical Documentation
  • Operational Runbooks

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