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DevOps Engineer
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-07-31
Listing for:
Tential Solutions
Full Time
position Listed on 2026-07-31
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, IT Infrastructure
Job Description & How to Apply Below
Dev Ops/Infrastructure Engineer
The Dev Ops/Infrastructure Engineer builds and maintains cloud infrastructure and deployment pipelines for a generative AI platform. This role is responsible for environment provisioning, container orchestration, CI/CD automation, and infrastructure scaling to support a microservice-based architecture. The Dev Ops/Infrastructure Engineer takes a broad perspective to infrastructure problems and exercises independent judgment in selecting techniques and evaluation criteria to obtain results.
Key Responsibilities- Provision and manage AWS cloud environments across development, staging, and production tiers
- Deploy and operate containerized services and tool servers within a microservice architecture
- Manage container orchestration with blue-green and canary deployment strategies
- Support infrastructure for platform dependencies including search engines, caching layers, and relational databases
- Exercise independent judgment in evaluating and selecting infrastructure approaches and tooling
- Build and manage infrastructure on AWS, leveraging services such as ECS, ECR, IAM, VPC, S3, and Cloud Watch
- Maintain and extend CI/CD pipelines using shared library patterns for service builds, testing, and deployment across a microservice fleet
- Collaborate with developers on container optimization, startup configuration, and environment management
- Identify gaps between system components and designs and deliver solutions that enable team autonomy
- Develop actionable insights from analyzing infrastructure trends and Dev Ops best practices, communicating recommendations to management
- Implement infrastructure monitoring, alerting, and scaling strategies for AI workloads and supporting services
- Ensure platform reliability through capacity planning, performance testing, and incident response processes
- Optimize resource utilization and cost across the cloud environment
- Implement and maintain automated infrastructure testing including smoke tests, health checks, and deployment verification
- Design and execute load testing and performance benchmarking for platform services and AI workloads
- Ensure CI/CD pipelines enforce quality gates including linting, security scanning, and test execution before deployment
- Validate infrastructure-as-code changes through automated testing and peer review processes
- Guide team members in infrastructure best practices, deployment patterns, and operational procedures
- Partner within and across teams to meet shared goals and priorities around platform stability and delivery velocity
- Champion collaborative resolution of infrastructure issues and contribute to internal process improvement initiatives
- Assist with adherence to technology policies and comply with all security controls
- Implement secure coding practices, particularly in handling personally identifiable information (PII) and sensitive regulatory data
- Participate in threat modeling and security discussions for API and infrastructure components
- Understand and apply FINRA’s security standards and best practices for regulated financial environments
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