Cogniify · 2 months ago
Mid-Level Cloud / DevOps Engineer - USA
New York, NY
Full-time
Hybrid
Mid Level
$115K/yr - $154K/yr
3+ years expCogniify is seeking a Mid-Level Cloud/DevOps Engineer to design, build, and operate cloud infrastructure and DevOps workflows on AWS and Azure. In this role, you will manage key infrastructure components, drive CI/CD maturity, and collaborate with development and data teams to ensure reliable and secure cloud operations.
Management Consulting
Responsibilities
Design, provision, and manage production cloud infrastructure on AWS and Azure using Terraform, CloudFormation, CDK, Bicep, or Pulumi
Build and maintain robust CI/CD pipelines for application and infrastructure deployments using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, or Azure DevOps
Deploy and manage containerized workloads on Amazon ECS, EKS, or Azure Kubernetes Service (AKS), including service mesh and auto-scaling configurations
Implement serverless architectures using AWS Lambda, Step Functions, API Gateway, EventBridge, Azure Functions, and Logic Apps
Support and execute cloud migration projects, ensuring scalability, security, and minimal downtime during transitions
Develop and maintain Django-based and Python back-end applications integrated with cloud-native services such as RDS, DynamoDB, ElastiCache, S3, and SQS
Implement infrastructure monitoring, alerting, and observability using CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog, or OpenTelemetry
Automate operational workflows using Python, Bash, Go, or PowerShell and build self-healing infrastructure patterns
Enforce security best practices including IAM, VPC design, WAF, secrets management (Secrets Manager, Vault), encryption, and compliance controls
Optimize cloud costs through reserved instances, savings plans, right-sizing, and FinOps practices
Collaborate with development, data engineering, and ML teams to support application deployments, data pipelines, and AI/ML workloads
Qualification
Required
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
3–5 years of professional experience in cloud engineering, DevOps, or site reliability engineering with production responsibility
Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, VPC, ECS/EKS, CloudFormation, IAM) and/or Azure services (VMs, AKS, App Service, Functions, ARM/Bicep)
Proficiency with infrastructure-as-code tools: Terraform (strongly preferred), CloudFormation, CDK, or Pulumi
Experience building and managing CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or cloud-native pipeline services
Working knowledge of Docker, Kubernetes, and container orchestration in production environments
Strong scripting skills in Python, Bash, or Go for automation and tooling
Solid understanding of networking (VPC, subnets, load balancers, DNS, CDN), security (IAM, RBAC, encryption), and compliance in cloud environments
Experience with monitoring and observability tools: CloudWatch, Prometheus, Grafana, Datadog, or equivalent
Familiarity with Agile methodologies and collaborative development workflows
Preferred
AWS Solutions Architect Associate/Professional, AWS DevOps Engineer Professional, or AZ-104/AZ-400 certification
Experience with Django or FastAPI application deployment on cloud infrastructure
Familiarity with GitOps practices and tools (ArgoCD, Flux)
Experience with database management on cloud platforms: RDS, Aurora, DynamoDB, Azure SQL, Cosmos DB
Exposure to AI/ML infrastructure: SageMaker, Azure ML, Bedrock, GPU instance management, or model serving pipelines
Experience with event-driven architectures using Kafka, SQS/SNS, EventBridge, or Kinesis
Knowledge of FinOps principles and cloud cost optimization strategies
Benefits
Unlimited PTO.
Please ask us about our very generous parental leave, much above industry standards!.
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact.
Medical, Dental and Vision coverage for employees.
Access to Disability & Life insurance.
Mental health and wellbeing support
Annual bonus program
Employer Stock Purchase Program (ESPP)
Yearly Team building experiences
Mentorship and sponsorship opportunities
Manager resources and support
Company
Cogniify
Cogniify helps enterprises move from AI pilots to industrialized impact.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase