Senior Embedded Software Engineer - AWS IoT & Edge Deployment Specialist at Capgemini Portugal

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS IoT Services, Industrial Protocols, Device Integration, AWS Security Best Practices, Data Collection Pipelines, Machine Learning Workflows, SageMaker, CloudWatch, CloudTrail, Documentation Skills, Collaboration, Telemetry Flow, OTA Updates, Configuration Management, Observability, Logging

Industry

IT Services and IT Consulting

Description

Job Description Client is seeking an experienced AWS IoT and Edge Deployment Specialist to support the buildout of our smart manufacturing platform. This role is critical to the implementation of our future production environment, which integrates on-premises industrial equipment with AWS cloud and edge services. The ideal candidate has deep knowledge of AWS IoT Greengrass ecosystem, industrial device integration, security best practices, and how telemetry data supports machine learning workflows using SageMaker. Key Responsibilities • Lead the deployment and configuration of AWS IoT Greengrass and related edge services on industrial hardware • Design and implement secure data collection pipelines from factory devices (e.g., OPC-UA, Modbus) using IoT SiteWise, Greengrass components, and custom connectors • Support OTA (over-the-air) updates, configuration management, and remote debugging strategies • Design end-to-end observability and logging for edge and cloud-connected assets using CloudWatch, CloudTrail, and custom metrics • Ensure edge and cloud interactions meet security and compliance best practices (IAM roles, device certificates, encryption, auditability) • Collaborate with ML and data teams to enable edge-to-cloud telemetry flow for model training in SageMaker and inference deployment to edge • Help define and apply standards for data formats, labeling, versioning, and metadata tagging from edge sensors • Support validation and field testing efforts during deployment cycles across diverse factory environments • Contribute to documentation and runbooks to support maintainability and scalability of the edge-cloud architecture Required Qualifications • 3+ years of experience with AWS IoT services (Greengrass, IoT Core, SiteWise, IoT Jobs, IoT Device Defender) • Strong understanding of industrial protocols (OPC-UA, MQTT) and device integration patterns • Working knowledge of AWS security best practices for IoT, including certificates, policy management, and secure OTA • Experience building data collection or telemetry pipelines for downstream ML use cases (e.g., predictive maintenance, anomaly detection) • Familiarity with AWS services such as S3, Timestream, SageMaker, and CloudWatch • Excellent communication and documentation skills, with ability to work across DevOps, ML, and plant engineering teams Nice to Have • AWS Certified Solutions Architect or AWS Certified Machine Learning – Specialty • Familiarity with Docker, container orchestration on edge (via Greengrass), and OTA pipelines • Experience with manufacturing compliance standards • Knowledge of data governance and lifecycle management for sensor data • Understanding of cloud-to-edge feedback loops (e.g., inference triggers, alerts, autonomous control actions) 3+ years of experience with AWS IoT services (Greengrass, IoT Core, SiteWise, IoT Jobs, IoT Device Defender) • Strong understanding of industrial protocols (OPC-UA, MQTT) and device integration patterns Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | www.capgemini.com Disclaimer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Responsibilities

Lead the deployment and configuration of AWS IoT Greengrass and related edge services on industrial hardware. Collaborate with ML and data teams to enable edge-to-cloud telemetry flow for model training in SageMaker and inference deployment to edge.