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MSH · 2 days ago

Senior Full Stack Cloud Engineer

United States

Contract

Remote

Senior Level, Lead/Staff

8+ years exp

MSH is seeking a Senior Full Stack Cloud Engineer who can design and implement secure, end-to-end cloud solutions. The role involves leading technical initiatives, mentoring development teams, and utilizing AWS expertise to build sophisticated cloud and IoT solutions.

Management Consulting

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Design and implement secure & scalable cloud-native architectures (Microservices, Serverless, Container) using comprehensive AWS stack

Build end-to-end IoT solutions from device connectivity through data analytics

Develop real-time streaming data pipelines from hardware devices and sensors

Design and implement time-series database solutions and data engineering frameworks

Create robust proof-of-concepts (POCs) from ground-up using AWS services

Implement and optimize big data solutions using Amazon Kinesis, Glue, EMR, Redshift, and Timestream

Design data lakes and warehouses for massive IoT data ingestion and analysis

Build real-time analytics dashboards and reporting frameworks

Optimize query performance and data processing workflows to match business needs

Develop data governance and security frameworks aligning with enterprise guidelines

Lead implementation of AI-driven solutions for smart grid applications

Develop predictive analytics and anomaly detection systems for grid operations working with Data Scientists

Deploy, optimize and integrate Generative AI, machine learning, deep learning, and natural language processing models for high value use cases

Prototype AI solutions using AWS AI/ML services (SageMaker, Bedrock, etc.)

Guide and mentor junior developers and team members

Lead technical design reviews and architecture decisions

Drive best practices for cloud development and DevOps methodologies

Collaborate with cross-functional teams to translate business requirements into technical solutions

Champion bias-for-action culture while maintaining high technical standards

Qualification

AWS expertiseIoT experienceAI/ML implementationData engineeringProgramming languagesDevOps practicesTime-series databasesBig data technologiesContainerizationCybersecurity knowledgeCommunication skillsLeadership skillsCollaboration skills

Required

Bachelor's degree in Computer Science, Electrical Engineering, or related technical field; Master's preferred

Minimum 8-10 years of full-stack software development experience

At least 5 years of hands-on AWS cloud platform experience with developing solutions using multiple services

Minimum 3 years leading technical teams or mentoring developers

Expert-level knowledge of AWS cloud services ecosystem (EC2, Lambda, IoT Core, Kinesis, S3, DynamoDB, Redshift, Glue, RDS, Bedrock etc.)

Proven experience with real-time streaming data processing and analytics

Hands-on expertise with time-series databases (Amazon Timestream, InfluxDB, or similar)

Strong background in data engineering and ETL/ELT pipeline development

Proficiency in multiple programming languages (Python, Java, C#, Go, JavaScript/TypeScript)

Solid understanding of DevOps practices with hands-on experience using SonarQube(or similar) to drive code quality and developer productivity

Demonstrated experience implementing AI-driven solutions in production environments

Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition)

Proven track record with big data technologies (Amazon EMR, Redshift, Spark, Hadoop)

Experience deploying machine learning models, deep learning algorithms

Deep hands-on IoT knowledge including device connectivity, protocols, and data ingestion

Experience with IoT platforms and edge computing solutions

Understanding of industrial communication protocols (MQTT, OPC-UA, Modbus, DNP3)

Proficiency in containerization and orchestration (Docker, Kubernetes, ECS)

Preferred

Experience in energy industry, utility operations, or industrial companies

Understanding of industrial IoT applications in critical infrastructure

AWS certifications (Solutions Architect Professional, ML Specialty, IoT Specialty)

Experience with infrastructure as code (Terraform, CloudFormation, CDK)

Knowledge of edge AI and distributed computing architectures

Strong background in cybersecurity for IoT and cloud environments

Experience with digital twin implementations and simulation platforms

Experience leveraging AI-powered development tools (GitHub Copilot, or similar) to enhance code generation, debugging, and development velocity

Track record of spearheading innovative technology initiatives

Experience leading cross-functional technical projects

Strong presentation skills

Proven ability to balance rapid prototyping with production-ready solutions

Excellent written and verbal communication skills

Ability to explain complex technical concepts to non-technical stakeholders

Experience working in agile/scrum methodologies

Strong cross-functional collaboration skills

Company

MSH

Scale your team with high-quality, vetted professionals.

Founded in 2011

Ft. Lauderdale, FL, US

201-500 employees

http://talentmsh.com

H1B Sponsorship

MSH has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

2025 (1)