Cloud Support Engineer

Encore Talent Solutions; Cincinnati (OH); On-site; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Platform Engineer to design and implement technology solutions that enhance business strategies. This role involves managing Kafka clusters, ensuring data security, and collaborating with cross-functional teams to optimize workflows. The ideal candidate will have extensive experience in platform engineering, particularly with Kafka and AWS, and possess strong problem-solving and communication skills. Join a dynamic team that values innovation and offers opportunities for professional growth in a collaborative environment.

Benefits

Professional growth opportunities

Collaborative team environment

Qualifications

• 8+ years in platform engineering with hands-on Kafka cluster management.
• Proficient in Amazon MSK and cloud platforms, preferably AWS.

Responsibilities

• Design, deploy, and maintain Kafka clusters for high availability.
• Develop automation scripts to streamline data processing tasks.

Skills

Kafka Management

Amazon MSK

Data Classification

Python

Bash

Cloud Platforms

Problem-Solving

Communication

Tools

Lenses

AWS S3

RDS

Job description

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Encore Talent Solutions provided pay range

This range is provided by Encore Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00/hr - $80.00/hr

Direct message the job poster from Encore Talent Solutions

Encore Talent Solutions is a trusted professional services firm dedicated to helping organizations achieve their goals by providing exceptional talent solutions. We partner closely with our clients to understand their unique culture and operational needs, delivering proactive support during times of growth, transition, and change. Our mission is to connect top talent with meaningful opportunities to drive business success.

Job Description

The Platform Engineer will evaluate, design, and implement technology solutions that advance technology strategies within a specific line of business. As the application owner for third-party, purchased software (Kafka/MSK,and Lenses), the incumbent will collaborate closely with vendors to stay informed about upcoming changes, ensure alignment with the technology roadmap, and maintain business continuity and effectiveness. This role requires a deep understanding of the bank’s systems, configurations, and evolving business needs. If aligned to an Agile squad, the engineer may also partner with Product Owners to define user stories that drive effective technology solutions.

Key Responsibilities

Architect and Manage Kafka Clusters:

Design, deploy, and maintain Kafka clusters using Amazon MSK to ensure high availability, scalability, and performance.

Monitor and Optimize Kafka Performance:

Leverage Lenses to monitor Kafka clusters, identify bottlenecks, and implement performance improvements.

Data Classification and Security:

Implement and manage BigID solutions for data classification across AWS S3 buckets, RDS instances, and on-premises databases, ensuring compliance with data governance and security policies.

Cross-Functional Collaboration:

Work closely with data engineers, software developers, and security teams to integrate and optimize data workflows.

Automation:

Develop and maintain automation scripts (e.g., Python, Bash) to streamline data processing and platform management tasks.

Troubleshooting and Issue Resolution:

Provide expert-level support and troubleshooting for complex platform issues, ensuring minimal downtime and maximum reliability.

Research and implement best practices, staying current with emerging technologies in data management, cloud infrastructure, and platform engineering.

Required Qualifications:

Minimum of 8 years in platform engineering or a related field, with significant hands-on experience managing Kafka clusters.

Technical Skills:

Proficient in Amazon MSK, and Lenses.

Hands-on experience with cloud platforms, preferably AWS.

Preferred Qualifications

Problem-Solving:

Excellent analytical and problem-solving skills, with a proactive mindset to identify and address technical challenges.

Communication:

Strong verbal and written communication skills, capable of conveying complex technical concepts to non-technical stakeholders.

Teamwork:

Ability to thrive in a collaborative, fast-paced Agile environment.

• Travel: No
• Collaborative team environment with opportunities for professional growth.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Banking

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