Devops Architect

Job Title: Devops Architect

Location: Remote in US.

Pay rate: As per industry standards.

Client – Financial Services company, Name is still not provided.

Key Skills: Devops, Terraform, Ansible, Confluent Kafka

Note : Contract to hire role… they would be hired by end customer after 6 months

We are seeking a highly skilled DevOps Architect with expertise in Confluent Kafka ,AWS , andmodern automation frameworks . The ideal candidate will lead the design, deployment, and optimization of large-scale, distributed event-streaming environments across on-premise and cloud infrastructures.

Key Responsibilities

• Design, deploy, and configure Confluent Kafka clusters, topics, partitions, replication strategies, and security configurations across on-prem and cloud environments (including Confluent Cloud ).
• Automate provisioning, deployment, scaling, and maintenance using tools such as Terraform ,Chef ,Ansible ,CloudFormation ,Jenkins , and other CI/CD technologies .
• Build automated, self-service capabilities for topic creation, schema governance, ACLs, and resource provisioning to streamline engineering workflows.
• Use Chef, Ansible , or similar tools to automate system configurations, application deployments, and middleware setups.
• Build and maintain CI/CD pipelines integrating Kafka components and infrastructure changes using Jenkins, Git, and other DevOps toolchains.
• Perform root-cause analysis, optimize throughput, tune brokers/producers/consumers, and manage high-severity production incidents.
• Provide architectural leadership for event-driven solutions, real-time data processing, and streaming ecosystems across cloud and hybrid environments.

Skill set requirement:

• 10+ years of experience in DevOps, Cloud Engineering , or Platform Engineering roles.
• Hands-on expertise with Confluent Kafka (Cloud and On-Prem).
• Advanced knowledge of AWS (VPC, IAM, Networking, Security, EKS nice to have).
• Strong proficiency in Terraform.
• Strong CI/CD experience with Jenkins, Git, and automated deployment pipelines.
• Experience managing and monitoring large-scale distributed systems.
• Strong understanding of event-driven architecture, data streaming patterns, and real-time integration.
• Excellent communication and leadership skills with the ability to collaborate across teams.