Overview
On Site
Full Time
Accepts corp to corp applications
Contract - W2
Skills
Site Reliability Engineering
Job Details
We are actively looking for SRE professionals with strong expertise in Site Reliability Engineering, DevOps, and Messaging Systems.
Role Senior-Level SRE & DevOps Role
Location: St. Louis, MO (ONSITE)
Visa: H1B/USC
Job Discription:
Preferred Experience: Banking or Fintech domain Strong DevOps culture and automation focus
SRE MQ + DevOps Must have automation mindset Strong in MQ, Linux, CI/CD (Jenkins), and scripting (Shell, Python) L7 - Kafka Admin + DevOps
Here are skill set requirement for STL position -
- L7 SRE Skills See attachment
- Should come from Developer background
- L7 MQ + DEVOPs Automation mindset. Should be able to do automation. Skills are mentioned in the attachment
- MQ, Linux, CI/CD Jenkins, Scripting (Shell scripts, Python)
- L7 Kafka Admin + DEVOPs. Automation mindset. Should be able to do automation. Skills are mentioned in the attachment
- MQ, Linux, CI/CD Jenkins, Scripting (Shell scripts, Python)
-
Proficiency in languages like Python, Go, Java, or Bash for automation scripts, tools, and integrations. Involves writing clean, maintainable code, debugging, API interactions, version control (e.g., Git), and unit testing.
In-depth knowledge of Linux/Unix. Includes managing processes, file systems, permissions, kernel tuning, shell scripting, server configuration, updates, and security.
Expertise in cloud platforms (AWS, Google Cloud Platform, Azure) and tools like Terraform or CloudFormation for infrastructure as code (IaC). Includes managing virtual machines, serverless architectures, and container orchestration (e.g., Kubernetes, ECS) for scalability and high availability.
Understanding of TCP/IP, HTTP, DNS, load balancing, VPNs, and firewalls. Includes configuring network services and troubleshooting with tools like Wireshark or traceroute.
Proficiency in tools like Splunk, Dynatrace, Prometheus, Grafana, Datadog, Jaeger/Zipkin for logs, metrics, and tracing. Involves defining Service Level Indicators (SLIs), setting Service Level Objectives (SLOs), and creating dashboards for system health insights.
Experience with CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions. Includes automating build, test, and deployment processes, as well as rollback mechanisms for reliability.
Skills in diagnosing and resolving production issues using logs, metrics, and debugging tools. Includes incident management (e.g., PagerDuty), root cause analysis (RCA), and blameless postmortems.
Familiarity with securing infrastructure, managing secrets (e.g., Vault), zero-trust principles, and compliance standards (e.g., SOC 2, GDPR). Includes vulnerability management and secure configuration.
Expertise in managing and operating Apache Kafka, NATS and MQ. Includes configuring topics (Kafka) or subjects (NATS), ensuring high availability, scaling clusters, monitoring performance metrics (e.g., consumer lag, throughput), and troubleshooting issues like message loss or latency. Involves understanding partitioning (Kafka) and pub/sub patterns (NATS) for event streaming and messaging.
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience with 4/5 years of hands on experience
In-depth knowledge of Linux/Unix. Includes managing processes, file systems, permissions, kernel tuning, shell scripting, server configuration, updates, and security.
Expertise in cloud platforms (AWS, Google Cloud Platform, Azure) and tools like Terraform or CloudFormation for infrastructure as code (IaC). Includes managing virtual machines, serverless architectures, and container orchestration (e.g., Kubernetes, ECS) for scalability and high availability.
Understanding of TCP/IP, HTTP, DNS, load balancing, VPNs, and firewalls. Includes configuring network services and troubleshooting with tools like Wireshark or traceroute.
Proficiency in tools like Splunk, Dynatrace, Prometheus, Grafana, Datadog, Jaeger/Zipkin for logs, metrics, and tracing. Involves defining Service Level Indicators (SLIs), setting Service Level Objectives (SLOs), and creating dashboards for system health insights.
Experience with CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions. Includes automating build, test, and deployment processes, as well as rollback mechanisms for reliability.
Skills in diagnosing and resolving production issues using logs, metrics, and debugging tools. Includes incident management (e.g., PagerDuty), root cause analysis (RCA), and blameless postmortems.
Familiarity with securing infrastructure, managing secrets (e.g., Vault), zero-trust principles, and compliance standards (e.g., SOC 2, GDPR). Includes vulnerability management and secure configuration.
Expertise in managing and operating Apache Kafka, NATS and MQ. Includes configuring topics (Kafka) or subjects (NATS), ensuring high availability, scaling clusters, monitoring performance metrics (e.g., consumer lag, throughput), and troubleshooting issues like message loss or latency. Involves understanding partitioning (Kafka) and pub/sub patterns (NATS) for event streaming and messaging.
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent practical experience with 4/5 years of hands on experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.