BMC Software
Overview
Lead DevOps / Platform Engineer – Kafka & OpenSearch
– Kafka & OpenSearch Location: North America Job Type: Full-Time, Individual Contributor Level: Lead This role can be based remotely in United States Hybrid: possible Job Description and Requirements: We are an award-winning, equal opportunity, culturally diverse, fun place to be. We focus on delivering SaaS excellence and enabling customers to become an Autonomous Digital Enterprise. Our SaaS Ops team looks for a DevOps Tech Lead to design, develop, and implement complex applications using modern technologies. Ask about our benefits by reading further. Our Commitment to You BMC’s culture is built around its people. We have 6000+ brilliant minds working globally. You’ll be known for your authentic self. If you’re excited about BMC and this team, we encourage you to apply. We strive for equal opportunity employment and provide accommodations on request. Key Responsibilities
Kafka & OpenSearch Platform Ownership Architect, deploy, and operate highly available Kafka clusters for large-scale, low-latency event streaming Manage OpenSearch clusters for log analytics, observability, and enterprise search workloads Establish patterns for scaling, data retention, replication, and disaster recovery across distributed environments Optimize performance, monitoring, and cost-efficiency of Kafka and OpenSearch platforms Infrastructure as Code (IaC) & Automation Lead adoption of Terraform, Ansible, Jenkins, and GitOps for Kafka and OpenSearch Automate provisioning, scaling, patching, and upgrades across hybrid cloud and on-prem environments Define secure, reusable deployment patterns CI/CD & Data Pipelines Design CI/CD workflows for streaming data pipelines and search services Automate schema management, connector deployments, and data ingestion for Kafka and OpenSearch Enable rapid, safe delivery of streaming and analytics solutions Containerization & Orchestration Deploy and manage Kafka, OpenSearch, and supporting services on Kubernetes Optimize orchestration for stateful workloads with Helm and operators Ensure high performance, resilience, and elasticity for multi-tenant clusters Observability & Reliability Build observability frameworks for Kafka and OpenSearch Implement logging, metrics, and alerting to detect and mitigate issues Partner with SRE and platform teams to ensure uptime SLAs Security & Compliance Enforce RBAC, encryption, and compliance for sensitive data streams and indices Automate vulnerability patching, auditing, and certificate management Continuous Improvement & Leadership Drive initiatives to reduce overhead, lower costs, and improve reliability Mentor engineers on best practices for distributed data services Align DevOps strategies with business outcomes Band/Role Definition Lead-level engineering role requiring deep expertise in distributed systems and DevOps automation Education and Experience Bachelor’s degree (or equivalent) in Computer Science, Engineering, Information Systems, or related field 8+ years of DevOps, Platform, or SRE experience with distributed data services OR 6+ years with advanced degree Hands-on experience with Terraform, Ansible, Kubernetes, and CI/CD automation Strong background in database DevOps, data operations, or cloud database automation Certifications Kafka certifications (Confluent or equivalent) Cloud: AWS/Azure/GCP/OCI DevOps or Database certifications IaC & Automation: Terraform, Ansible certifications Containerization: Docker Certified Associate, CKA DevOps: DevOps Institute certifications Skills & Competencies Distributed systems expertise with Kafka, OpenSearch, and large-scale data platforms Proficiency in Terraform, Ansible, CI/CD tooling, Kubernetes, and database automation GitOps, multi-cloud and on-prem deployments Programming/scripting: Python, Bash Cross-functional leadership and collaboration Problem solving for scaling, reliability, and cost Experience with PostgreSQL, Oracle, SQL Server, or modern data platforms Data pipelines for large-scale operations Business acumen: align automation with cost savings Communication and adaptability Mentoring Provides technical mentorship in DevOps and database automation practices. Candidates must have US citizenship and the ability to obtain a security clearance. Salary & Benefits The annual base salary range is provided as a guide and depends on experience and location. Current range: $129,375 - $215,625. This range is one component of the total compensation package, which may include a variable plan and country-specific benefits. Equal Opportunity BMC is an equal opportunity employer. If you need a reasonable accommodation, visit the accommodation request page. The company maintains a policy of not requesting payment for employment opportunities.
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Lead DevOps / Platform Engineer – Kafka & OpenSearch
– Kafka & OpenSearch Location: North America Job Type: Full-Time, Individual Contributor Level: Lead This role can be based remotely in United States Hybrid: possible Job Description and Requirements: We are an award-winning, equal opportunity, culturally diverse, fun place to be. We focus on delivering SaaS excellence and enabling customers to become an Autonomous Digital Enterprise. Our SaaS Ops team looks for a DevOps Tech Lead to design, develop, and implement complex applications using modern technologies. Ask about our benefits by reading further. Our Commitment to You BMC’s culture is built around its people. We have 6000+ brilliant minds working globally. You’ll be known for your authentic self. If you’re excited about BMC and this team, we encourage you to apply. We strive for equal opportunity employment and provide accommodations on request. Key Responsibilities
Kafka & OpenSearch Platform Ownership Architect, deploy, and operate highly available Kafka clusters for large-scale, low-latency event streaming Manage OpenSearch clusters for log analytics, observability, and enterprise search workloads Establish patterns for scaling, data retention, replication, and disaster recovery across distributed environments Optimize performance, monitoring, and cost-efficiency of Kafka and OpenSearch platforms Infrastructure as Code (IaC) & Automation Lead adoption of Terraform, Ansible, Jenkins, and GitOps for Kafka and OpenSearch Automate provisioning, scaling, patching, and upgrades across hybrid cloud and on-prem environments Define secure, reusable deployment patterns CI/CD & Data Pipelines Design CI/CD workflows for streaming data pipelines and search services Automate schema management, connector deployments, and data ingestion for Kafka and OpenSearch Enable rapid, safe delivery of streaming and analytics solutions Containerization & Orchestration Deploy and manage Kafka, OpenSearch, and supporting services on Kubernetes Optimize orchestration for stateful workloads with Helm and operators Ensure high performance, resilience, and elasticity for multi-tenant clusters Observability & Reliability Build observability frameworks for Kafka and OpenSearch Implement logging, metrics, and alerting to detect and mitigate issues Partner with SRE and platform teams to ensure uptime SLAs Security & Compliance Enforce RBAC, encryption, and compliance for sensitive data streams and indices Automate vulnerability patching, auditing, and certificate management Continuous Improvement & Leadership Drive initiatives to reduce overhead, lower costs, and improve reliability Mentor engineers on best practices for distributed data services Align DevOps strategies with business outcomes Band/Role Definition Lead-level engineering role requiring deep expertise in distributed systems and DevOps automation Education and Experience Bachelor’s degree (or equivalent) in Computer Science, Engineering, Information Systems, or related field 8+ years of DevOps, Platform, or SRE experience with distributed data services OR 6+ years with advanced degree Hands-on experience with Terraform, Ansible, Kubernetes, and CI/CD automation Strong background in database DevOps, data operations, or cloud database automation Certifications Kafka certifications (Confluent or equivalent) Cloud: AWS/Azure/GCP/OCI DevOps or Database certifications IaC & Automation: Terraform, Ansible certifications Containerization: Docker Certified Associate, CKA DevOps: DevOps Institute certifications Skills & Competencies Distributed systems expertise with Kafka, OpenSearch, and large-scale data platforms Proficiency in Terraform, Ansible, CI/CD tooling, Kubernetes, and database automation GitOps, multi-cloud and on-prem deployments Programming/scripting: Python, Bash Cross-functional leadership and collaboration Problem solving for scaling, reliability, and cost Experience with PostgreSQL, Oracle, SQL Server, or modern data platforms Data pipelines for large-scale operations Business acumen: align automation with cost savings Communication and adaptability Mentoring Provides technical mentorship in DevOps and database automation practices. Candidates must have US citizenship and the ability to obtain a security clearance. Salary & Benefits The annual base salary range is provided as a guide and depends on experience and location. Current range: $129,375 - $215,625. This range is one component of the total compensation package, which may include a variable plan and country-specific benefits. Equal Opportunity BMC is an equal opportunity employer. If you need a reasonable accommodation, visit the accommodation request page. The company maintains a policy of not requesting payment for employment opportunities.
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