Sr Platform Engineer

Location:

Frisco, TX (Onsite)

• – Expert-level knowledge of hybrid and multi-cloud infrastructure (AWS, Azure, on- prem).
• – Extensive experience architecting large-scale distributed systems, focusing on performance, resilience, and scalability.
• – Deep expertise in DML operations across relational (Postgres, Oracle) and No
  
  SQL (Cassandra) databases.
• – Advanced proficiency with Kafka and event streaming architectures, including schema registry management, replication, and consumer group design.
• – Mastery of caching architectures — including distributed caching, multi-tier designs, and cache invalidation strategies.
• – Strong command of Infrastructure-as-Code and automation frameworks (Terraform, Ansible, Cloud Formation).
• – Advanced scripting and orchestration using Python, Bash, or Power Shell.
• – In-depth understanding of observability, reliability, and data-driven automation at scale.
• – Solid grounding in networking, identity, and cloud security principles.

• – Proven leadership and influence across diverse engineering and architecture teams.
• – Strategic mindset with the ability to align technical direction with organizational business goals.
• – Exceptional communication and storytelling skills — able to bridge technical and executive audiences.
• – Strong mentoring ability and commitment to developing engineering talent.
• – Operates with autonomy, foresight, and innovation in highly dynamic technical environments.

• – Architect and evolve hybrid and cloud platform architecture to support high performance, resiliency, and scalability.
• – Define platform modernization and migration strategies aligned with organizational goals and cloud transformation initiatives.
• – Influence architecture across teams — driving adoption of microservices, event- driven integrations, and containerized workloads.
• – Establish standards for Infrastructure-as-Code, observability, and platform automation that enable secure and reliable delivery.

• – Define and lead the organizational strategy for DML operations across Postgres, Oracle, and Cassandra environments, ensuring efficient and secure data manipulation at scale.
• – Oversee the design, implementation, and optimization of DML logic, queries, and data pipelines, in alignment with Enterprise DDL governance and standards.
• – Architect Kafka-based event streaming systems that support high-throughput, real-time data movement and platform-level integrations.
• – Drive the adoption of event-driven design patterns for asynchronous communication and decoupled service architecture.
• – Define distributed caching strategies and frameworks (Redis, Memcached, or equivalent) to reduce latency, improve throughput, and optimize resource utilization.
• – Establish DML and data access best practices that balance performance, consistency, and reliability.

• – Lead enterprise-wide automation initiatives using Terraform, Ansible, or similar frameworks for consistent, repeatable infrastructure provisioning.
• – Oversee integration of data operations into CI/CD pipelines, ensuring robust testing, version control, and change governance.
• – Develop self-service frameworks and automation patterns that improve developer autonomy and reduce operational overhead.

• – Define and enforce platform security and governance standards for data access, messaging, and caching systems.
• – Collaborate with security teams to integrate compliance, encryption, and access controls into platform data operations.
• – Drive observability and reliability standards for data-intensive…