Azure 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.

• 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.

• 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 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.

• 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.

• 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.

For applications and inquiries, contact:View email address on click.appcast.io