{"id":2610808,"url":"https://alion.io/job/copilotiq-devops-engineer-est-only","title":"DevOps Engineer (EST only)","company":{"id":2165723,"name":"Copilotiq","domain":"copilotiq.com","url":"https://alion.io/company/copilotiq","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS WAF","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Loki","optional":false},{"name":"Open Policy Agent","optional":false},{"name":"Prometheus","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon ECS","optional":true},{"name":"AWS CDK","optional":true},{"name":"Embeddings","optional":true},{"name":"HIPAA","optional":true},{"name":"Java","optional":true},{"name":"LLM","optional":true},{"name":"OWASP Top 10","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-09T01:48:19Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-15T18:13:05Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"At the forefront of health tech innovation, CopilotIQ +Biofourmis is transforming in-home care with the industry's first AI-driven platform that supports individuals through every stage of their health journey-from pre-surgical optimization to acute, post-acute and chronic care. We are helping people live healthier, longer lives by bringing personalized, proactive care directly into their homes. With CopilotIQ's commitment to enhancing the lives of seniors with chronic conditions and Biofourmis' advanced data-driven insights and virtual care solutions, we're setting a new standard in accessible healthcare. If you're passionate about driving real change in healthcare, join the CopilotIQ+Biofourmis Team!\nWhat is the DevOps Engineer role?\nCopilotIQ is looking for a DevOps Engineer (Individual Contributor, Full-Time remote position working EST hours). Your primary responsibility will be to design and develop infrastructure solutions that ensure scalability, high availability, and cost-efficiency for our cloud-based services. Your work will directly impact the deployment, monitoring, and security of our critical healthcare software infrastructure. \nThis is an incredible role for someone looking to get into one of the most exciting companies in healthcare technology with a strong mission that has quantifiable improvements on patients' outcomes! Your work will directly impact people's lives!\nWhat you'll be doing:\nBuild and manage our cloud infrastructure for scalability, high availability and cost-efficiency; \nDesign and implement Infrastructure-as-Code (IaC) driven deployments for cloud-native services, enabling fully automated continuous deployments across Staging, Test, and Production environments.\nProven experience in AWS microservices and serverless deployments;\nBuild and maintain efficient CI/CD pipelines (Jenkins, ArgoCD, Github Actions)\nOwn monitoring and alerting flows, ensure general observability metrics and maintainability of all our critical services;\nImplement disaster recovery and backup/restore strategies;\nStrengthen the AWS infrastructure security by managing AWS WAF, KMS keys, Secrets Manager, SSL/TLS certificates, IAM, CloudTrail logs and more;\nHeavily contribute to system reliability, including being on-call.\nWhat you'll bring:\nBachelor's degree in Computer Science or related field;\n3-5 years combined Software Engineering/DevOps experience, with at least 2 years in DevOps focused on running and maintaining cloud-deployed SaaS application;\nYou are a mission driven strong collaborator that has product passion and deeply cares for growth, learning and adding meaningful impact through your efficient technical work;\nSelf-motivated with a proactive, \"go-getter\" mentality;\nDemonstrates and applies broad knowledge of software engineering concepts, practices, and procedures for product and solution development and deployment at scale;\nExperience with user authentication and authorization technologies and general security practices (definitely a plus, familiarity with any of JWT, Oauth, Open Policy Agent, IAM Roles);\nDocumentation of Cloud infrastructure and associated processes.\nTechnologies Required:\nSolid fundamentals of networking and container technologies, especially as related to Docker and Kubernetes - working knowledge of major Internet protocols such as HTTP, DNS, TCP and IP routing;\nSolid foundation in AWS services and best practices, including EKS, EC2, Lambda, API Gateway, S3, DynamoDB, RDS, Route 53, and CloudWatch;\nSolid Expertise with at least one of the IaC tools (e.g. Cloudformation, Terraform, CDK);\nExperience with Datadog or Prometheus/Grafana (ELK/Loki a plus).\nBonus Points for:\nAWS CDK, Cloud Development Kit (TypeScript/Java/Python) and AWS Solutions Constructs;\nExperience deploying and maintaining ML/AI workloads in production (batch + real-time inference) and experience supporting LLM-based systems (prompt pipelines, RAG, embeddings, etc.). 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