Role Description First, you will work with the latest Keysight products and technologies. - You will be a part of a young and passionate team with strong senior software engineers. - Participate in the analysis, design, development, and maintenance of cross-platform software components. - Interact with project management, leads, testers, and other developers to understand features. - Plan the schedule, design and implement solutions, optimize, and perform development testing and bug-fixing. - Deliver high-quality releases on time. Qualifications - Good knowledge of C/C++ programming languages. - Good knowledge of Linux user space programming. - Good knowledge of multithreading programming. - Good knowledge of cross-platform programming best practices. - Good OOP knowledge. - Good algorithms/data structures knowledge. - Ability to quickly learn and grasp new technologies. - Desire and ability to work in a highly collaborative, team-oriented environment. - Good verbal and written communication skills. - Proven to be performance-driven and having a proactive attitude. Requirements - Knowledge of Linux containers / Kubernetes is a plus. - Golang is a plus. - C#, Java knowledge is a plus. - Scripting knowledge is a plus (bash, python). - Windows programming knowledge is a plus. - STL and Boost 3rd party libraries knowledge is a plus. Company Description Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities Peraton is seeking a Software Engineer (Senior) to support the MODES III program supporting Military Community and Family Policy (MC&FP). In this role, the selected candidate will be responsible for leading the design and delivery of complex, secure, cloud-native applications and microservices in AWS GovCloud supporting mission workflows like E-EFMP. This position is remote and requires an active Secret clearance. JOB DESCRIPTION - Responsible for leading the design and delivery of complex, secure, cloud-native applications and microservices in AWS GovCloud supporting mission workflows like E-EFMP. - Architects secure APIs and data ingestion pipelines to cloud data lakes conforming to DoD CC SRG and Zero Trust principles. - Drives enterprise-level performance and resilience through containerization, autoscaling, observability, and high-availability configurations across multi-AZ deployments. - Leads DevSecOps integration, designing CI/CD pipelines with security gates (SAST/DAST), automated rollback strategies, and code integrity controls. - Provides technical leadership for database architecture and production incident response; defines RTO/RPO targets and validates via Disaster Recovery exercises. - Familiar with: AWS (EKS, Lambda, RDS), Docker/Kubernetes, Terraform, SAST/DAST tools, and Oracle RAC. Qualifications REQUIRED QUALIFICATIONS - Active Secret clearance required. - Experience / Education: a minimum of 14 years w/o a degree or 12 years with AS/AA - Certifications: This role requires a demonstration of capability within the Cyberspace IT workforce. Successful applicants must satisfy Foundational Qualification standards via an approved industry certification (e.g., A+ or Network+) or documented equivalent military/educational training as defined in the DoD 8140 Qualification Matrix. PREFERRED QUALIFICATIONS - Eligible for Top Secret/SCI clearance. - Prior experience working in DoD or Federal government IT environments. - AWS certifications (e.g., AWS Solutions Architect, AWS Security Specialty) or equivalent cloud certifications. - Experience with cloud-native data pipelines, analytics platforms, or data lake architectures. - Hands-on experience with Kubernetes, container orchestration, and microservices architectures. - CompTIA Security+ Worklocation: remote with the ability to travel to NCR if needed Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Responsibilities Peraton is seeking a Software Engineer (Senior) to support the MODES III program supporting Military Community and Family Policy (MC&FP). In this role, the selected candidate will be responsible for architecting, leading, and delivering complex, secure, cloud native applications and microservices (AWS GovCloud IL2/IL4/IL5), ensuring scalability, resilience, and RMF/ATO alignment. This position is remote and requires an active Secret clearance. Responsibilities - Responsible for architecting, leading, and delivering complex, secure, cloud native applications and microservices (AWS GovCloud IL2/IL4/IL5), ensuring scalability, resilience, and RMF/ATO alignment. - Designs enterprise API contracts, secure data ingestion pipelines to the data lake, containerized deployments (K8s/EKS), autoscaling and observability, and HA patterns for production services. - Drives DevSecOps practices: CI/CD with security gates (SAST/DAST), automated deployment/rollback, IaC (Terraform/CloudFormation), and production runbooks. - Leads database architecture and backup/DR design, defines RTO/RPO, conducts DR exercises, and directs production incident response and post incident reviews. - Provides technical leadership to cross functional teams (UX, analytics, security), defines telemetry and web health KPIs for dashboards, and authors RMF/ATO artifacts and eMASS inputs. - Familiar with: AWS (EKS, Lambda, RDS), Docker/Kubernetes, Terraform, SAST/DAST tools, and Oracle RAC. Qualifications REQUIRED QUALIFICATIONS - Clearance Requirement: Active Secret clearance required. - Experience: 10+ years relevant experience with BS/BA or 12+ years with AS/AA or 14 years w/o a degree or 8 years Experience with MS/MA or 6 years with PHD - Certifications: This role requires a demonstration of capability within the Cyberspace IT workforce. Successful applicants must satisfy Foundational Qualification standards via an approved industry certification (e.g., A+ or Network+) or documented equivalent military/educational training as defined in the DoD 8140 Qualification Matrix. PREFERRED QUALIFICATIONS - Eligible for Top Secret/SCI clearance. - AWS certifications (e.g., AWS Solutions Architect, AWS Security Specialty) or equivalent cloud certifications. - Experience with cloud-native data pipelines, analytics platforms, or data lake architectures. - Familiarity with NIST RMF, ATO processes, and DoD security compliance frameworks. - Hands-on experience with Kubernetes, container orchestration, and microservices architectures. - CompTIA Security+ Worklocation: Remote with the ability to travel to the NCR Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. 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. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company. As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects. A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives. Project Description We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development Technologies - Python - Git, CI/CD practices for ML and data pipelines - AWS and/or Azure - PyTorch, TensorFlow - MLflow - LLMs and NLP tasks - Generative AI concepts - LangChain/LangGraph, LlamaIndex - Qdrant, Pinecone, Weaviate, FAISS or similar - RNNs, Transformers - Dataset labeling, annotation tools (e.g., Label Studio, CVAT) - Prometheus, Grafana, DataDog, OpenTelemetry - YOLO, SDD - Segmentation models - Image Classification What You'll Do - Lead the design, development, and deployment of scalable ML services; - Architect and implement AI/ML solutions, ensuring model quality, governance, and security; - Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP); - Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements; - Mentor and guide junior engineers, promoting best practices in ML engineering; - Develop and maintain documentation, ML models, and technical standards; - Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments; - Stay up-to-date with emerging trends and technologies in AI/ML field; Job Requirements - Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; - 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs; - Strong proficiency in Python; - Experience with cloud data platforms (AWS and/or Azure); - Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering; - Experience with data governance, security, and compliance in cloud environments; - Excellent problem-solving, communication, and leadership skills; - English: Upper Intermediate level or higher; What Do We Offer The global benefits package includes: - Technical and non-technical training for professional and personal growth; - Internal conferences and meetups to learn from industry experts; - Support and mentorship from an experienced employee to help you professional grow and development; - Internal startup incubator; - Health insurance; - English courses; - Sports activities to promote a healthy lifestyle; - Flexible work options, including remote and hybrid opportunities; - Referral program for bringing in new talent; - Work anniversary program and additional vacation days.