SCI w Poly

Peraton•Laurel, MD

23h•$135,000 - $216,000•Onsite

About The Position

Peraton is seeking a talented and skilled Cloud Software Engineer to join our Cyber Intelligence team in Laurel, MD. As part of a collaborative, high-impact integrated product development team, you’ll work on next-generation cyber and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud infrastructure. This is your chance to help shape innovative services that make a real difference. The Cloud Software Engineer Level 3 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.

Requirements

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. A Master's degree in a Technical Field will be considered equivalent to four (4) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification
Minimum eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
Eight (8) 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
Minimum six (6) 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 five (5) 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.
Experience deploying applications in a cloud environment.
Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
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)
An Active TS/SCI clearance with polygraph is required

Nice To Haves

Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks
Hands-on with CloudFormation or Terraform, and modern CI/CD pipelines
Knowledge of Kubernetes and microservices architecture
Working knowledge of cloud security principles and compliance best practices
Competent in Linux environments with scripting skills in Python, Ruby, Perl, or similar
Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
Experience designing and developing automated analytic software, techniques, and algorithms.
Experience developing and deploying: analytics that include foreign language processing; analytic processes that incorporate/integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.
Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
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.
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

Responsibilities

Requirements analysis
Software development
Installation
Integration
Evaluation
Enhancement
Sustainment
Testing
Validation
Issue diagnosis/resolution
Cloud software research
Cloud software development
Cloud software engineering services
AI/ML integration
Working on next-generation cyber and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud infrastructure