Minerva Engineering, LLC Cloud Development And Operations Engineer Skill Level 1 in Hanover, Maryland

Minerva Engineering has a reputation for providing high quality engineering services to a broad range of government agencies. Our customer-centric approach ensures that we exceed our customer's expectations for performance, schedule maintenance and cost risk management. It's our employees that make the difference. We have fully funded and immediate positions on our prime contracts!

We have a great opportunity for a Cloud Engineer!

Cloud Development And Operations Engineer Skill Level 1 The Cloud DevOps team will build, tune and manage servers and services, which run on 4,000+ node operational clusters to support search and big data analytics for thousands of Analysts. The DevOps team combines software development, networking and large-scale systems engineering to build and run fault tolerant software services and compute infrastructures. In this environment, a big data cluster is a highly connected operational platform built from thousands of commodity servers running Linux, Hadoop and Apache Accumulo that are optimized and continually improved.

The Level 1 Cloud Development And Operations Engineer shall possess the following capabilities:

  • Development of Map/Reduce jobs processing >100 GB of data, troubleshooting multiple parallel processes, tuning multiple parallel processes operating within specified constraints and resources
  • Development, deployment, debugging, and tuning of applications atop a multi-tenant Accumulo environment, to include managing performance trade-offs for configuration options of Accumulo, based on workload and specified performance requirements
  • Developing and implementing network design of compute cluster environments, to include IP address schemes, routing, firewalls, load balancing, ethernet channel (bonding), and troubleshooting of network hardware and software applications and issues
  • Development of Map/Reduce jobs processing >100 GB of data, troubleshooting multiple parallel processes, tuning multiple parallel processes operating within specified constraints and resources
  • Development, deployment, debugging, and tuning of applications atop a multi-tenant Accumulo environment, to include managing performance trade-offs for configuration options of Accumulo, based on workload and specified performance requirements
  • Development of Map/Reduce jobs processing >100 GB of data, troubleshooting multiple parallel processes, tuning multiple parallel processes operating within specified constraints and resources
  • Development, deployment, debugging, and tuning of applications atop a multi-tenant Accumulo environment, to include managing performance trade-offs for configuration options of Accumulo, based on workload and specified performance requirements
  • Developing and implementing network design of compute cluster environments, to include IP address schemes, routing, firewalls, load balancing, ethernet channel (bonding), and troubleshooting of network hardware and software applications and issues
  • Developing, debugging, and tuning of data-driven applications and deployment of large-scale data-driven applications

Qualifications:

  • Bachelor's degree in computer science or related discipline
  • Within the last eight (8) years, a minimum of five (5) years experience deploying, managing, and troubleshooting system issues with one or more of the following: Apache Hadoop, Cloudera Distribution of Hadoop (CDH), and/or Hortonworks Hadoop Distribution (HDP) –
  • Within the last eight (8) years, a minimum of five (5) years experience developing applications for and working with Apache Accumulo
  • Within the last five (5) years, a minimum of two (2) years experience developing software within a Linux environment -
  • Within the last five (5) years, a minimum of two (2) years experience programming with Java and deploying applications developed with Java - Demonstrated understanding of distributed data structures and probabilistic data structures, to include the development and implementation of algorithms within and for the same Domain Area(s) Specialized Requirements: Unless otherwise specified in the description field Three (3) years of demonstrated experience is required for the domain items described below: Domain Area Domain Description Information Technology

Desired qualifications

  • Demonstrated experience developing applications to run on moderate to large (200 - >1200 node) Hadoop clusters;
  • Demonstrated experience configuring, monitoring, and tuning Hadoop 2 clusters;
  • Demonstrated experience recovering from hardware failures that affect Hadoop NameNode processing and file structures

Clearance Requirement- TS/SCI with a polygraph

Please contact me with any questions:

Email: diane_lardy@minervaengineering.com

Phone: (w) 410-691-0560 x3139

Location: Hanover, MD

Job #: 9614569

Date Posted: 07-18-2017