Sr Platform Engineer
Highbrow LLC
Sr Platform Engineer (Client: T-Mobile) [Location: Frisco, TX (Onsite)] Location: Frisco, TX (Onsite) Job Description – 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 NoSQL (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, CloudFormation).
- Advanced scripting and orchestration using Python, Bash, or PowerShell.
- In-depth understanding of observability, reliability, and data-driven automation at scale.
- Solid grounding in networking, identity, and cloud security principles.
- 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.
- 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.
- 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.
- 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.
- Collaborate with security teams to integrate compliance, encryption, and access controls into platform data operations.
- Drive observability and reliability standards for data-intensive systems — ensuring performance, fault tolerance, and cross-region resiliency.
- Lead large-scale incident reviews, root-cause analysis, and resilience engineering initiatives for platform-wide stability.
- Partner with product, security, and enterprise architecture leaders to align technical strategy with business outcomes.
- Influence investment and roadmap decisions for platform modernization and automation initiatives.
- Represent platform engineering in organizational architecture councils and leadership forums.
- Encourage experimentation and continuous improvement across platform engineering practices.
- Contribute to thought leadership and knowledge sharing across engineering communities.
Vacancy posted 2 days ago
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