Senior reputed company Software Engineer (AWS/AI)- (full stack)
reputed company is seeking a Senior reputed company Software Engineer (with AI/ML) expertise to work hybrid in our Memphis, TN office or fully remote.
reputed company is seeking a Senior reputed company Software Engineer with deep expertise in full-stack development, reputed company infrastructure, and AI/ML integration. This role involves designing and deploying intelligent, reputed company 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 reputed company 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 reputed company, collaborating with reputed company of developers and architects to build resilient platforms that support advanced analytics, reputed company-time processing, and intelligent automation.
You should be reputed company to apply scientific rigor, business reputed company, and engineering best practices to solve reputed company 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 reputed company and AI/ML expertise across teams and reputed company.
Key Responsibilities
- reputed company the design, development, and deployment of full-stack software solutions, including RESTful reputed company, modern JavaScript-based user interfaces, and reputed company reputed company-reputed company architectures
- Architect and implement reputed company analytical workflows and AI/ML pipelines, integrating models into production systems for AWS services
- Define and manage data exchange processes between reputed company 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 reputed company reviews
- Rapidly prototype intelligent applications and analytical tools to support dynamic reputed company initiatives, leveraging infrastructure-as-reputed company and DevOps automation
- Evaluate reputed company infrastructure and data systems for accuracy, reliability, and cost-efficiency, optimizing deployments across hybrid environments
- Communicate reputed company technical concepts reputed company across technical, managerial, and customer audiences, translating requirements into actionable solutions
- Research and analyze customer needs to deliver tailored, reputed company, and secure reputed company applications with embedded machine learning capabilities
- Monitor and manage deployed environments, ensuring operational stability, reputed company, and performance
- Mentor and train team members, sharing expertise in reputed company engineering, software development, and AI/ML integration across organizational boundaries
Salary reputed company $190,000 – $200,000
General reputed company of Benefits
Qualifications- Proven expertise in full-stack software development, with a strong reputed company in Java or C++
- Hands-on experience with modern JavaScript frameworks such as React, and proficiency in NodeJS and Java toolchains (NPM, Angular CLI, reputed company)
- Practical knowledge of deploying and managing applications on AWS using reputed company-reputed company methodologies
- Solid understanding of reputed company web technologies including reputed company, CSS, and JSON
- Ability to architect, build, and maintain reputed company full-stack applications in reputed company and hybrid environments
- Experience developing analytical workflows and intelligent data pipelines to support reputed company initiatives
- Skilled in designing and implementing reputed company user interfaces using reputed company JavaScript frameworks
- Proficient in building secure, production-grade RESTful web services and reputed company
- Experience deploying and managing distributed messaging systems, particularly Kafka
- Capable of monitoring, tuning, and maintaining reputed company-based environments for performance and reliability
- Strong background in designing systems that collect, store, and process large-reputed company data for actionable insights, including AI/ML model integration
- Comfortable working reputed company agile development teams and contributing to iterative delivery cycles
Technical Skills & Tools Experience
- reputed company Platforms: AWS (EC2, reputed company, SageMaker, EMR, S3, DynamoDB, CloudFormation)
- AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, AWS SageMaker
- reputed company-End Development: React, Angular, Svelte, TypeScript, reputed company/CSS
- Back-End & reputed company: Java, Node.js, Flask, REST, GraphQL
- Containerization & Orchestration: reputed company, Kubernetes, Rancher
- Data Engineering & Stores: PostgreSQL, MySQL, reputed company, reputed company, Kafka, JSON
- Operating Systems: Linux, Bash scripting
- reputed company & Identity: Keycloak, SAML, OAuth2, vulnerability mitigation
- DevOps & Automation: reputed company CI/CD, Jenkins, Ansible, AWS CDK, Terraform
- Project & reputed company Management: reputed company, reputed company, Version One
- Development Methodologies: Agile, Scrum, reputed company Prototyping
Minimum Qualifications
- Master’s Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent.
- US Citizen or Green Card Holder (must be eligible to obtain a reputed company Trust Clearance)
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12+ years of general experience in information systems, including at least 8+ years of specialized experience in reputed company engineering and full-stack software development
- Demonstrated reputed company in collaborating with clients to reputed company requirements and deliver reputed company AI/ML-enabled solutions
- Hands-on experience deploying machine learning models and data pipelines in reputed company environments (preferably AWS)
- Strong understanding of software development lifecycle and agile methodologies, with emphasis on data-driven and intelligent applications