Enterprise Service Platform Support Engineer

Job Description

Job Description

Enterprise Service Platform Support Engineer
Location Plano TX
Role Overview
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.
Technical Stack
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, DocumentDB, IAM, CloudWatch, S3)
CI/CD
DevOps:
Docker, Kubernetes, Jenkins, Terraform / CloudFormation
Key Responsibilities
Production Support
Incident Management
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).
Cloud
Infrastructure Operations
Support and monitor containerized workloads deployed across
AWS
environments (EKS, ECS, or EC2).
Utilize AWS native monitoring tools ( CloudWatch, 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.
Continuous Improvement
Automation
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.
Qualifications
Experience
Experience:
3 years of experience in production support, SRE, or DevOps 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 NoSQL databases like
MongoDB .
AWS Cloud:
Solid understanding of
AWS
core services, networking (VPC, Route53), and security (IAM).
Soft Skills:
Exceptional problem-solving skills under pressure, clear communication skills, and the ability to explain complex technical issues to non-technical stakeholders.