{"id":3908740,"url":"https://alion.io/job/biogensys-cloud-engineer","title":"Cloud Engineer","company":{"id":2943431,"name":"Biogensys","domain":"biogensys.com","url":"https://alion.io/company/biogensys","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Raleigh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":true},{"name":"Kanban","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-06T17:38:05Z","employer_posted_date":null,"last_verified_at":"2026-11-06T17:38:05Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job DescriptionWe are seeking a Mid-Level Cloud Engineer to design, develop, and deploy scalable cloud-native and serverless applications across AWS and Azure. The role focuses on backend development, generative AI integration, cloud databases, and secure cloud infrastructure.\nKey ResponsibilitiesDevelop and deploy serverless applications using AWS Lambda.\nDesign and manage hybrid cloud architectures across AWS and Azure.\nIntegrate generative AI models using Amazon Bedrock or SageMaker.\nManage AWS RDS, DynamoDB, and S3 services.\nImplement customer communication workflows using Amazon Connect.\nConfigure CloudFront for content delivery and performance optimization.\nManage cloud security, IAM roles, API Gateway, keys, and secrets.\nFollow infrastructure-as-code practices and Agile development methodologies.\nRequired SkillsHands-on experience with AWS cloud development; Azure knowledge is a plus.\nStrong experience with AWS Lambda, RDS, S3, and DynamoDB.\nKnowledge of Amazon Bedrock or SageMaker for generative AI integration.\nExperience with Amazon Connect and CloudFront.\nUnderstanding of IAM and Azure AD/Entra ID.\nProficiency in Python, Node.js, SQL, or other backend programming languages.\nKnowledge of infrastructure-as-code and Agile methodologies (Scrum/Kanban/SAFe).\nStrong analytical, organizational, and problem-solving skills.\nAbout Us:\nWe are specialized in recruiting and deliver the best professional talent of industry and we are committed to deliver best experience for our clients and job seekers. With over two decades of experience in the recruitment industry, we proudly help you to find the next job that matches your professional skills. Our team understands your needs or requirement before starting the recruitment, that enables to find the high quality of talent with high success rate of talent delivery, keeps us continue to be the best in the industry. By responding to this job posting, you are consenting to receive text/SMS messages from us. 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