Senior Software Engineer Kafka Engineer

Position Description:

About CGI: At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 100000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at .
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans.
CGI is an equal opportunity addition CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Position Title: Senior Kafka Engineer

Job Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai
Years of Exp: 4years of relevant experience is must
Work Mode: Hybrid (3 days WFO is must)
Notice Period: Immediate to 15days
Njoyn id: J0126-1777
Shift Timings: Night Shifts (Night 8 Pm to 4 AM)

Position Description
We are seeking a highly skilled advanced Confluent Kafka Engineer with deep systems-level expertise in designing operating and governing large-scale distributed streaming platforms across on-prem and cloud environments. You will work closely with application teams architects and DevOps to ensure reliable secure and scalable messaging services across the organization.

Your future duties and responsibilities:

. Mastery of Apache Kafka and the Confluent ecosystem including topic/partition architecture producerconsumer semantics exactly-once processing Kafka Connect Kafka Streams ksqlDB Schema Registry REST Proxy and end-to-end stream governance.
. Proven experience operating Kafka on-prem and in cloud environments (Azure and GCP) with strong understanding of high availability fault tolerance and disaster recovery design patterns
. Deep hands-on expertise with Confluent Replicator and Cluster Linking including cross-cluster data replication latency trade-offs failure handling and multi-region architectures
. Strong experience in Kafka cluster provisioning lifecycle management upgrades and capacity planning in complex enterprise environments
. Advanced experience with Confluent for Kubernetes (CFK) including CRD-level configuration JVM tuning pod-level resource isolation storage and network optimization
. High proficiency in Kubernetes Terraform and observability including Kafka-specific monitoring alerting and performance diagnostics
. Strong DevOps and CI/CD understanding for automating Kafka infrastructure connectors and streaming applications
. High expertise in security and access provisioning including LDAP integration RBAC models and automated entitlement scripts
. Experience integrating Kafka with enterprise platforms such as MuleSoft Databricks SAP MFT/IFT systems and microservices
. Proficiency in Python and Bash with strong Linux systems knowledge
. Demonstrated capability in cluster cost optimization performance tuning and resource efficiency at scale
. Experience with monitoring tools (e.g. Dynatrace. Prometheus Grafana).

Platform Ownership & Leadership
. Acts as L3 support owner for the Kafka platform leading deep-dive troubleshooting RCA and production incident resolution
. Strong experience documenting and operating platforms using Confluence including standards runbooks and architectural guidelines
. Ability to drive architectural and design decisions define long-term Kafka strategy and influence platform evolution across teams
. Operates with a distributed-systems mindset anticipating failure modes and trade-offs
. Treats Kafka as a mission-critical data platform not middleware
. Comfortable owning complex multi-cluster production-critical streaming ecosystems
. Excellent problem-solving and analytical skills.
. Strong communication and collaboration abilities.
. Ability to work independently and in a team-oriented environment.

Required qualifications to be successful in this role:

Required Qualification: BE/ (or equivalent)


Note: Freshers and candidates with less than 4 years of experience will not be considered. Please apply only if the job description and experience criteria are met.

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Skills:

• Apache Kafka
• Kubernetes
• Terraform

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.