Cloud Engineer

Job#: 3018051

Job Description:

Essential Functions & Responsibilities

Cloud & IoT Solutions Implementation (50%)

• 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

Big Data & Analytics Platform Development (25%)

• 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

AI/ML Implementation & Innovation (15%)

• 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.)

Technical Leadership & Mentoring (10%)

• 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

Required Qualifications

Education & Experience:

• 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

Core Technical Skills:

• 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

AI/ML & Big Data Expertise:

• 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

IoT & Systems Integration:

• 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 Qualifications

Industry-Specific Experience:

• Experience in energy industry, utility operations, or industrial companies
• Understanding of industrial IoT applications in critical infrastructure

Advanced Technical Skills:

• 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

Leadership & Innovation:

• 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

Collaboration & Communication:

• 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

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or 844-463-6178.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.