Enterprise Service Platform Support Engineer
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2026-10-25
Listing for:
ExemplarITS
Full Time
position Listed on 2026-10-25
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, AWS
Job Description & How to Apply Below
Location:
Plano, TX (onsite)
Duration:
Long term Contract (12+ Months)
We are seeking a highly skilled Platform Support Engineer to ensure the reliability, performance, and scalability of our core Enterprise Service Platform. In this role, you will be the backbone of our production environment, monitoring complex distributed architectures, troubleshooting high-throughput data pipelines, and resolving critical infrastructure issues. You will bridge the gap between development and operations, ensuring our 24/7 enterprise services run seamlessly.
TechnicalStack
- Languages & Frameworks:
Java (8/11+), Spring Boot, RESTful APIs. - Streaming & Messaging:
Apache Kafka (Topics, Consumer Groups, Connect, Cluster Management). - Databases:
MongoDB (Sharding, Indexing, Replication, Aggregations). - Cloud Platform: AWS (EC2, EKS/ECS, MSK, Document DB, IAM, Cloud Watch, S3).
- CI/CD & Dev Ops:
Docker, Kubernetes, Jenkins, Terraform / Cloud Formation.
- Monitor, troubleshoot, and resolve Level 2 and Level 3 incidents for enterprise-scale Java and Spring Boot microservices.
- Manage and maintain high-throughput Apache Kafka clusters, optimizing consumer group lags, partitions, and message retention.
- Diagnose and resolve MongoDB performance issues, including slow queries, indexing strategies, and replication lag.
- Participate in a 24/7 on-call rotation to ensure platform uptime and meet strict Service Level Agreements (SLAs).
- Support and monitor containerized workloads deployed across AWS environments (EKS, ECS, or EC2).
- Utilize AWS native monitoring tools (Cloud Watch, X-Ray) and APM tools (e.g., Datadog, Dynatrace, New Relic) to proactively identify platform bottlenecks.
- Implement and manage infrastructure alerts to detect anomalies before they impact end-users.
- Build and maintain automation scripts (Python, Bash) to automate repetitive operational tasks and self-healing mechanisms.
- Write detailed Root Cause Analysis (RCA) reports for major incidents and collaborate with engineering teams to deploy permanent bug fixes.
- Maintain up-to-date runbooks, deployment documentation, and architectural diagrams.
- Experience:
3+ years of experience in production support, SRE, or Dev Ops roles supporting enterprise distributed platforms. - Java Expertise:
Strong ability to read and debug Java code, analyze thread dumps, heap dumps, and memory leaks. - Data & Messaging:
Hands-on experience managing and troubleshooting distributed systems like Kafka and No
SQL databases like MongoDB. - AWS Cloud:
Solid understanding of AWS core services, networking (VPC, Route
53), and security (IAM).
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