The Cloud Software Engineer Level 2 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.
Key Technologies and Skills
Cloud Expertise: Deep experience in AWS Cloud Architecture, SDKs, APIs, and cloud services integration
AI/ML Integration: Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks
IaC & DevOps: Hands-on with CloudFormation or Terraform, and modern CI/CD pipelines
Programming Proficiency: Strong in Java for distributed systems with a solid grasp of networking, multi-threading, and concurrency
Containers & Orchestration: Knowledge of Kubernetes and microservices architecture
Security-Minded: Working knowledge of cloud security principles and compliance best practices
Scripting & Systems: Competent in Linux environments with scripting skills in Python, Ruby, Perl, or similar
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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
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Qualifications
Basic Qualifications
A Bachelor's Degree in Computer Science or in a related technical field is highly desired which will be considered equivalent to two (2) years of experience.
Five (5) 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
Must have, or be willing to obtain prior to start, one of the following Cloud Developer Certifications:
AWS Certified Developer-Associate
AWS Certified Machine Learning-Associate
AWS Certified Machine Learning-Specialty
AWS DevOps Engineer Professional
Certified Kubernetes Application Developer (CKAD)
A minimum of five (5) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
A minimum of four (4) years of experience developing software with high level languages such as Java, C, C++
Demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Acumulo, Big Table, etc.
Demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
Demonstrated work experience with the Hadoop Distributed File System (HDFS)
Demonstrated work experience with Serialization such as JSON and/or BSON
Demonstrated work experience developing Restful services
At least three (3) years of experience developing software for UNIX/Linux (Redhat versions 3-5) operating systems.
Demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.
Demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
At least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.
Demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
In addition, the candidate will have demonstrated experience, work or college level courses, in at least two (2) of the desired characteristics:
Experience deploying applications in a cloud environment.
Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
Experience designing and developing automated analytic software, techniques, and algorithms.
Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
Experience with linguistics (grammar, morphology, concepts).
Experience developing and deploying analytics that discover and exploit social networks.
Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
Experience developing and deploying analytics within a heterogeneous schema environment.
An Active TS/SCI clearance with polygraph is required
Desired Qualifications
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 $146,000 - $234,000. 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.
