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DevOps Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
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
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
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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