Senior Cloud Software Engineer; AWS​/AI full stack

Senior Cloud Software Engineer (AWS/AI) – Full Stack

ECS is seeking a Senior Cloud Software Engineer (with AI/ML) who will work hybrid in our Memphis, TN office or fully remote. The 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.

Location: Memphis, TN (Remote available)

Salary Range: $190,000 - $200,000

• Lead the design, development, and deployment of full‑stack software solutions, including RESTful APIs, modern JavaScript‑based user interfaces, and scalable cloud‑native architectures.
• Architect and implement complex analytical workflows and AI/ML pipelines, integrating models into production systems for AWS services.
• Define and manage data exchange processes between internal and external systems, ensuring secure, high‑throughput communication and interoperability.
• Apply deep expertise in software engineering to troubleshoot and resolve intricate system‑level issues, using best practices in performance tuning, testing, and code reviews.
• Rapidly prototype intelligent applications and analytical tools to support dynamic client initiatives, leveraging infrastructure‑as‑code and Dev Ops automation.
• Evaluate cloud infrastructure and data systems for accuracy, reliability, and cost‑efficiency, optimizing deployments across hybrid environments.
• Communicate complex technical concepts clearly across technical, managerial, and customer audiences, translating requirements into actionable solutions.
• Research and analyze customer needs to deliver tailored, scalable, and secure cloud applications with embedded machine learning capabilities.
• Monitor and manage deployed environments, ensuring operational stability, security, and performance.
• Mentor and train team members, sharing expertise in cloud engineering, software development, and AI/ML integration across organizational boundaries.

• Proven 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 tool chains (NPM, Angular CLI, Maven).
• Practical knowledge of deploying and managing applications on AWS using cloud‑native methodologies.
• Solid understanding of core web technologies including HTML, CSS, and JSON.
• Ability to architect, build, and maintain scalable full‑stack applications in cloud and hybrid environments.
• Experience developing analytical workflows and intelligent data pipelines to support client initiatives.
• Skilled in designing and implementing responsive user interfaces using popular JavaScript frameworks.
• Proficient in building secure, production‑grade RESTful web services and APIs.
• Experience deploying and managing distributed messaging systems, particularly Kafka.
• Capable of monitoring, tuning, and maintaining cloud‑based environments for performance and reliability.
• Strong background in designing systems that collect, store, and process large‑scale data for actionable insights, including AI/ML model integration.
• Comfortable working within agile development teams and contributing to iterative delivery cycles.

• Cloud Platforms: AWS (EC2, Lambda, Sage Maker, EMR, S3, Dynamo
  
  DB, Cloud Formation).
• AI/ML Frameworks:
  Tensor Flow, PyTorch, Scikit‑learn, AWS Sage Maker.
• Front‑End Development:
  React, Angular, Svelte, Type Script, HTML/CSS.
• Back‑End & APIs:
  Java, Node.js, Flask, REST, Graph
  
  QL.
• Containerization & Orchestration:
  Docker, Kubernetes, Rancher.
• Data Engineering & Stores:
  Postgre
  
  SQL, MySQL, Mongo
  
  DB, Redis, Kafka, JSON.
• Operating Systems:
  Linux, Bash scripting.
• Security & Identity:
  Keycloak, SAML, OAuth2, vulnerability mitigation.
• Dev Ops & Automation:
  Git Lab CI/CD, Jenkins, Ansible, AWS CDK, Terraform.
• Project & Source Management:
  Git Hub, Git Lab, Version One.
• Development Methodologies:
  Agile, Scrum, Rapid Prototyping.

• Master’s Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent.
• Eligible to obtain a Public Trust Clearance.
• 12+ years of general…