Sr Platform Engineer (Client: ???) [Location: Frisco, TX (Onsite all 5 days a week)]

 Location: Frisco, TX (Onsite all 5 days a week)

Job Description:

·        Strong proficiency in Linux and Windows Server administration within hybrid environments.

·        Hands-on experience with AWS and Azure services, including compute, networking, and IAM.

Strong experience in the telecom billing domain.

Advanced scripting skills in Python, Bash, or PowerShell to automate platform operations.

·        Expertise in Infrastructure-as-Code (IaC) with Terraform, Ansible, or CloudFormation.

·        Experience building and maintaining CI/CD pipelines (GitLab CI/CD, Jenkins, or similar).

·        Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

·        Working knowledge of DML operations in relational (Postgres, Oracle) and NoSQL (Cassandra)     databases.

·        Understanding of Kafka event streaming concepts, including producers, consumers, and topic management.

·        Familiarity with caching mechanisms such as Redis or Memcached for improving data access     performance.

·        Working knowledge of virtualization platforms such as VMware or Hyper-V.

·        Deep understanding of networking fundamentals, DNS, security principles, and zero-trust models.

·        Experience with monitoring and observability tools (Prometheus, Grafana, ELK, CloudWatch, Azure Monitor). Soft Skills

·        Strong analytical and problem-solving abilities with a bias for action and automation.

·        Communicates complex technical concepts effectively to both technical and non- technical audiences.

·        Collaborates seamlessly in Agile, cross-functional environments.

·        Demonstrates ownership, accountability, and adaptability in dynamic, fast-paced settings.

Job Responsibilities:

·        Platform Operations& Support: Own day-to-day operations of hybrid infrastructure supporting Client’s platform services.

·        Ensure uptime, performance, and security across on-prem, AWS, and Azure environments

·        Troubleshoot complex infrastructure, configuration, and deployment issues impacting platform reliability.

·        Lead patching, updates, and configuration management with minimal oversight.

·        Participate in on-call rotation and drive improvements in incident response and postmortem practices.

·        Automation & Infrastructure-as-Code:

·        Design, develop, and maintain automation using Python, Bash, or PowerShell to increase operational efficiency.

·        Implement and manage Infrastructure-as-Code (IaC) using Terraform, Ansible, or equivalent frameworks.

·        Build and maintain CI/CD pipelines for platform infrastructure and environment deployments (GitLabCI/CD, Jenkins).

·        Establish documentation standards and reusable modules for consistent automation delivery.

·        Hybrid Cloud Environment Engineering:

·        Architect, provision, and maintain compute, networking, and storage services across AWS, Azure, andon-prem environments.

·        Engineer hybrid connectivity solutions and optimize data flow between data centers and cloud resources.

·        Manage shared platform services such as container registries, configuration management, and identity systems.

·        Partner with DevOps, SRE, and application teams to deliver stable, scalable platform environments.

·        Data, Messaging & Caching (DML Operations):

·        Execute and optimize DML operations within Postgres, Oracle, and Cassandra environments under existing organizational DDL structures.

·        Develop and maintain integrations with Kafka for event-driven data pipelines, message publishing, and asynchronous workloads.

·        Implement caching strategies (Redis, in-memory caches) to reduce query latency and improve application performance.

·        Support database performance tuning, data ingestion, and transformation activities aligned with enterprise governance standards.

·        Monitoring, Observability & Reliability:

·        Develop and manage observability solutions leveraging Prometheus, Grafana, CloudWatch, Azure Monitor, or ELK.

·        Implement proactive monitoring, log analysis, and metrics-based alerting for early issue detection.

·        Lead efforts in automation for self-healing, scaling, and performance tuning.  Collaborate with SREs to improve mean time to resolution (MTTR) and overall platform reliability.

·        Collaboration, Leadership & Continuous Improvement:

·        Contribute to Agile delivery teams, collaborating with developers and architects to deliver infrastructure enhancements.

·        Mentor junior engineers, providing technical guidance in automation, monitoring, and hybrid design.

·        Advocate for DevOps and automation best practices across engineering teams.