Platform Engineer

 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. Soft Skills

 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.

 Strategic Platform Architecture & Design
 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. Data, Messaging & Caching (DML Strategy & Execution)

 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. Automation & Infrastructure Leadership

 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. Security, Governance & Reliability

 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 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. Organizational Leadership & Mentorship

 Serve as a senior technical mentor for Platform Engineers and cross-functional teams, providing guidance on architecture, data operations, and cloud design.
 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. Innovation & Emerging Technologies

 Drive exploration and adoption of emerging technologies — including streaming analytics, AI-driven automation, and next-gen data caching strategies.
 Encourage experimentation and continuous improvement across platform engineering practices.
 Contribute to thought leadership and knowledge sharing across engineering communities.