Tential
Role Overview
Kafka/DevOps Engineer Location:
Owings Mills, MD (Hybrid –
2 days onsite per week ) Seeking a
hands-on Kafka/DevOps Engineer
with strong
infrastructure engineering and automation experience
to support the buildout and ongoing operations of a new enterprise-scale Kafka platform. Candidate must be highly skilled in automation, monitoring, and troubleshooting, with the ability to design and manage Kafka on
Confluent Cloud
and AWS. This is not an architect/strategist role – they want someone who can
roll up their sleeves
and engineer solutions while helping mature the platform. Key Responsibilities
Develop and maintain enterprise-scale Kafka infrastructure (Confluent Cloud). Hands-on experience with
Kafka ACL management
and security realms. Automate platform operations using Python, Go, Terraform, and other scripting tools. Build APIs, automation pipelines, and custom dashboards. Monitor and react to alerts for Kafka and supporting infrastructure. Participate in a rotating
on-call schedule (every 6 weeks) . Collaborate with a 4-person Kafka team and wider engineering group (~10 total). Must-Have Skills
Kafka Engineering:
2-3 years (enterprise scale, Confluent Cloud, ACLs, security). Automation / Infrastructure-as-Code:
2-3 years (Python, Go, Terraform, scripting). AWS Cloud:
5+ years (experience operating Kafka in AWS environments). Hands-on infrastructure engineering background (not just application development). Strong troubleshooting and monitoring experience for Kafka operations. Ability to work independently and deliver automation solutions. Nice-to-Have Skills
Golang (growing use in the environment). Java development (alongside Python). Kubernetes knowledge. Experience building custom dashboards and monitoring frameworks. Candidate Profile
Strong, hands-on engineer with a bias for automation. Comfortable being part of a Kafka on-call rotation. Solid communicator who can collaborate with engineering peers but also operate independently. Excited to build and improve new platform capabilities, not just maintain legacy systems.
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Kafka/DevOps Engineer Location:
Owings Mills, MD (Hybrid –
2 days onsite per week ) Seeking a
hands-on Kafka/DevOps Engineer
with strong
infrastructure engineering and automation experience
to support the buildout and ongoing operations of a new enterprise-scale Kafka platform. Candidate must be highly skilled in automation, monitoring, and troubleshooting, with the ability to design and manage Kafka on
Confluent Cloud
and AWS. This is not an architect/strategist role – they want someone who can
roll up their sleeves
and engineer solutions while helping mature the platform. Key Responsibilities
Develop and maintain enterprise-scale Kafka infrastructure (Confluent Cloud). Hands-on experience with
Kafka ACL management
and security realms. Automate platform operations using Python, Go, Terraform, and other scripting tools. Build APIs, automation pipelines, and custom dashboards. Monitor and react to alerts for Kafka and supporting infrastructure. Participate in a rotating
on-call schedule (every 6 weeks) . Collaborate with a 4-person Kafka team and wider engineering group (~10 total). Must-Have Skills
Kafka Engineering:
2-3 years (enterprise scale, Confluent Cloud, ACLs, security). Automation / Infrastructure-as-Code:
2-3 years (Python, Go, Terraform, scripting). AWS Cloud:
5+ years (experience operating Kafka in AWS environments). Hands-on infrastructure engineering background (not just application development). Strong troubleshooting and monitoring experience for Kafka operations. Ability to work independently and deliver automation solutions. Nice-to-Have Skills
Golang (growing use in the environment). Java development (alongside Python). Kubernetes knowledge. Experience building custom dashboards and monitoring frameworks. Candidate Profile
Strong, hands-on engineer with a bias for automation. Comfortable being part of a Kafka on-call rotation. Solid communicator who can collaborate with engineering peers but also operate independently. Excited to build and improve new platform capabilities, not just maintain legacy systems.
#J-18808-Ljbffr