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 Architectwith 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.