The Cloud Software Engineer Level 1 Engineer provides cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.
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Python, Java, C, C++, Hbase, Accumulo, Big Table, Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc., Hadoop Distributed File System (HDFS), JSON and/or BSON. Taxonomy, Ontologies, and Big-Data Cloud Scalability (Amazon, Google, Facebook), cluster monitoring tools (e.g. Hobbit, Ganglia), Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow
Qualifications
Basic Qualifications
A Bachelor's Degree in Computer Science or in a related technical field from an accredited college or university is highly desired which will be considered equivalent to two (2) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
Two (2) or more years of directly related experience in software development/engineering; including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
At least 2 years of experience in software development/engineering, including requirements analysis, software development, installation, evaluation, enhancement, maintenance, and problem diagnosis/resolution.
Have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.
Have at least one (1) year of experience developing software with high level languages such as Java, C, C++, et cetera.
Minimum of two (2) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts
An Active TS/SCI clearance with polygraph is required
Additional Desired Qualifications
Preferred, not required, to have one of the following Cloud Developer Certifications:
AWS Certified Developer-Associate
AWS Certified Machine Learning-Associate
AWS Certified Machine Learning-Specialty
AWS Certified Machine Learning-Specialty
AWS DevOps Engineer Professional
Certified Kubernetes Application Developer (CKAD)
Demonstrated experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, and/or Big Table
Demonstrated experience with Map/Reduce and/or Hadoop, Hive, and/or Pig
Demonstrated experience with the Hadoop Distributed File System (HDFS)
Demonstrated experience with Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
Demonstrated experience designing and developing web applications with JavaScript
Demonstrated experience designing and developing automated analytic software, techniques, and algorithms
Demonstrated experience with compute cluster monitoring tools (e.g. Hobbit, Ganglia)
Demonstrated experience with Accumulo internals, to include configuring, tuning, and testing Accumulo in many configurations (>200 node clusters)
Competencies and Skills
Experience with Large Language Models (LLM), Agentic AI, and Retrieval-Augmented Generation (RAG)
Expertise in AWS Cloud Architecture design and development
Proficiency in using AWS SDKs and APIs
Expertise in Infrastructure as Code (IaC) tools like CloudFormation or Terraform
Skilled in Continuous Integration, Deployment, Testing and Monitoring practices
Knowledge and skill in implementing and using observability tools (e.g. Elasticsearch, OpenSearch)
Java programming for distributed systems, with experience in networking and multi-threading
Agile development experience with source code management practices and tools
Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)
Familiarity with microservices software development techniques and container-orchestration (e.g., Kubernetes)
Knowledge of security and compliance best practices
Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.
Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
