Senior Cloud Software Engineer (AWS/AI)
Occupations:
Software DevelopersComputer Systems Engineers/ArchitectsComputer Systems AnalystsComputer Occupations, All OtherWeb DevelopersIndustries:
Software PublishersComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesWeb Search Portals, Libraries, Archives, and Other Information ServicesComputer Systems Design and Related ServicesBusiness Support ServicesJob DescriptionEverforth ECS is seeking a Senior Cloud Software Engineer (with AI/ML) expertise to work hybrid in our Memphis, TN office or fully remote.ECS is seeking a Senior Cloud Software Engineer with deep expertise in full-stack development, cloud infrastructure, and AI/ML integration. This role involves designing and deploying intelligent, scalable solutions in AWS environments, with a strong emphasis on modernizing analytical workflows and embedding machine learning capabilities into mission-critical systems.The ideal candidate is a versatile technologist who thrives in fast-paced environments, rapidly adapts to emerging tools and platforms, and consistently delivers innovative, data-driven solutions. You’ll play a key role in transitioning legacy services to the cloud, collaborating with a team of developers and architects to build resilient platforms that support advanced analytics, real-time processing, and intelligent automation.You should be able to apply scientific rigor, business insight, and engineering best practices to solve complex customer challenges. This includes evaluating data accuracy, deploying ML models, and building systems that extract actionable insights. You’re an expert in computer science, engineering, or business, and capable of mentoring others while sharing your cloud and AI/ML expertise across teams and contracts.Key ResponsibilitiesLead the design, development, and deployment of full-stack software solutions, including RESTful APIs, modern JavaScript-based user interfaces, and scalable cloud-native architecturesArchitect and implement complex analytical workflows and AI/ML pipelines, integrating models into production systems for AWS servicesDefine and manage data exchange processes between internal and external systems, ensuring secure, high-throughput communication and interoperabilityApply deep expertise in software engineering to troubleshoot and resolve intricate system-level issues, using best practices in performance tuning, testing, and code reviewsRapidly prototype intelligent applications and analytical tools to support dynamic client initiatives, leveraging infrastructure-as-code and DevOps automationEvaluate cloud infrastructure and data systems for accuracy, reliability, and cost-efficiency, optimizing deployments across hybrid environmentsCommunicate complex technical concepts clearly across technical, managerial, and customer audiences, translating requirements into actionable solutionsResearch and analyze customer needs to deliver tailored, scalable, and secure cloud applications with embedded machine learning capabilitiesMonitor and manage deployed environments, ensuring operational stability, security, and performanceMentor and train team members, sharing expertise in cloud engineering, software development, and AI/ML integration across organizational boundariesSalary Range $150,000General Description Of BenefitsRequired SkillsProven expertise in full-stack software development, with a strong foundation in Java or C++Hands-on experience with modern JavaScript frameworks such as React, and proficiency in NodeJS and Java toolchains (NPM, Angular CLI, Maven)Practical knowledge of deploying and managing applications on AWS using cloud-native methodologiesSolid understanding of core web technologies including HTML, CSS, and JSONAbility to architect, build, and maintain scalable full-stack applications in cloud and hybrid environmentsExperience developing analytical workflows and intelligent data pipelines to support client initiativesSkilled in designing and implementing responsive user interfaces using popular JavaScript frameworksProficient in building secure, production-grade RESTful web services and APIsExperience deploying and managing distributed messaging systems, particularly KafkaCapable of monitoring, tuning, and maintaining cloud-based environments for performance and reliabilityStrong background in designing systems that collect, store, and process large-scale data for actionable insights, including AI/ML model integrationComfortable working within agile development teams and contributing to iterative delivery cyclesTechnical Skills & Tools ExperienceCloud Platforms: AWS (EC2, Lambda, SageMaker, EMR, S3, DynamoDB, CloudFormation)AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, AWS SageMakerFront-End Development: React, Angular, Svelte, TypeScript, HTML/CSSBack-End & APIs: Java, Node.js, Flask, REST, GraphQLContainerization & Orchestration: Docker, Kubernetes, RancherData Engineering & Stores: PostgreSQL, MySQL, MongoDB, Redis, Kafka, JSONOperating Systems: Linux, Bash scriptingSecurity & Identity: Keycloak, SAML, OAuth2, vulnerability mitigationDevOps & Automation: GitLab CI/CD, Jenkins, Ansible, AWS CDK, TerraformProject & Source Management: GitHub, GitLab, Version OneDevelopment Methodologies: Agile, Scrum, Rapid PrototypingMinimum QualificationsMaster’s Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent.US Citizen or Green Card Holder (must be eligible to obtain a Public Trust Clearance)12+ years of general experience in information systems, including at least 8+ years of specialized experience in cloud engineering and full-stack software development Demonstrated success in collaborating with clients to gather requirements and deliver scalable AI/ML-enabled solutionsHands-on experience deploying machine learning models and data pipelines in cloud environments (preferably AWS)Strong understanding of software development lifecycle and agile methodologies, with emphasis on data-driven and intelligent applicationsDesired Skills#EverforthECS1ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.We ValueAttracting and developing top talent and high-performing teamsFostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!