Cloud Software Engineer

GRVTY

Annapolis, Northern (MD, KY)

Hybrid

USD 170,000 - 200,000

Full time

35 hours ago

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Benefits offered by this job

Healthcare benefits

Retirement plan

Paid time off

Job summary

GRVTY seeks a Cloud Software Engineer to join a top project in Annapolis Junction, MD. The role focuses on developing, maintaining, and enhancing large-scale Big-Data Cloud systems with Java, Kubernetes, and distributed computing techniques.

You will work on back-end processing, indexing, IR, and cloud migration efforts, while reviewing software components for quality and security. Active clearance is required, with potential for growth within a federal contracting environment.

Qualifications

Active TS/SCI with Poly clearance is required.
12 years software engineering experience in programs of similar scope.
Bachelor's degree in CS or related field; MS may substitute 2 yrs experience.
Cloud and distributed computing with Big-Data technologies.

Responsibilities

Develop, maintain, and enhance Big-Data Cloud systems per requirements.
Contribute to all stages of backend processing, indexing, and testing.
Review and test components; document results and fix defects.
Architect and design cloud solutions with hardware/software trade-offs.
Lead or guide teams; ensure delivery within software processes.
Advise on use of COTS/GOTS and secure cloud practices.

Skills

TS/SCI with Poly clearance

Cloud Computing

Information Retrieval

Distributed Computing

Java

Object Oriented Design

UNIX/LINUX

Education

Bachelor's degree in Computer Science or related discipline

Master in Computer Science or related discipline (optional substitution)

12 years software engineering experience

Tools

Kubernetes

Helm Charts

NiFi

Grafana

InfluxDB

Elasticsearch

Redis

MySQL

Apache Superset

RabbitMQ

Kafka

Ansible

Terraform

WebSockets

Job description

GRVTY is seeking a Cloud Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Annapolis Junction, MD. The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

What You Must Have

Active TS/SCI with Polygraph Clearance
Micro-services architecture: Kubernetes, Helm Charts, Micro-Services deployment patterns, Service-mesh, Multi-site applications, Load Balancing topologies, Cloud Migration
Tech-Stack Familiarity Architecture: nifi, Testing frameworks (JEST), Grafana, InfluxDb, Elasticsearch, Redis, mysql, Apache Superset, RabbitMQ/Kafka/Message Fabrics, Ansible/Salt, Terraform (for lane development), Web-Sockets, JBLOCKS, CASPORT, Neo4j,Agency Security Labels(CAMKEY, LAC, COI, etc.)
Twelve (12) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required. Bachelors degree in Computer Science or related discipline from an accredited college or university is required; four (4) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
The following Cloud related experiences are required:
Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
One (1) year of experience with implementing complex MapReduce analytics.
One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
One (1) year of experience in architecting Cloud Computing solutions
One (1) year of experience in debugging problems with Cloud based Distributed Computing Frameworks
One (1) year of experience in managing multi-node Cloud based installation
Experience in Computer Network Operations:
Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
Experience in Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s)
Experience in Information Technology:
Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
Cloud and Distributed Computing Technologies: at least one or a combination of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB
Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
Aspect Oriented Design and Development
Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
UNIX/LINUX, CentOS
Experience in SIGINT: 1. Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) 2. Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
Experience with Other: 1. CentOS, Linux/RedHat, 2. Configuration management tools such as Subversion, ClearQuest, or Razor.
Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval
Implement complex workflows that manage Cloud MapReduce analytics
Implement code that interacts with Cloud Distributed Coordination Frameworks
Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project
Make recommendations for improving documentation and software development process standards
Serve as a subject matter expert for Cloud Computing and corresponding technologies including Hadoop assisting the software development team in designing, developing and testing Cloud Computing Systems
Debug problems with Cloud based Distributed Computing Frameworks
Manage multi-node Cloud based installation
Delegate programming and testing responsibilities to one or more teams and monitor their performance
Select the software development process in coordination with the customer and system engineering
Recommend new technologies and processes for complex cloud software projects
Ensure quality control of all developed and modified software
Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data
Make recommendations for improving documentation and software development process standards

Pay Range:

At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.