Infrastructure Engineer

Shree Narayani Networking Solutions•Jersey City, NJ

12d•Hybrid

About The Position

The Infrastructure Engineer designs and delivers infrastructure tools and services that support business strategies while adhering to architectural governance, standards, and policies. As part of a platform engineering team, the role helps build and evolve a self-service AWS platform for internal technology teams to deploy and operate services securely, consistently, and efficiently in a regulated financial environment. The engineer contributes reusable infrastructure services, Terraform modules, and automated delivery pipelines that form a cohesive platform offering. The role also develops templates, golden paths, playbooks, and automation for implementation, and continuously improves platform reliability, scalability, security, and developer experience.

Requirements

Significant experience writing HashiCorp Terraform configurations and modules.
Experience using Terraform Enterprise (TFE) for resource provisioning.
Experience with DevOps and GitOps models involving infrastructure as code, configuration as code, and policy as code.
Proficiency translating designs into fully developed Terraform code.
Strong knowledge of AWS and the cloud adoption framework.
Solid understanding of cloud networking concepts, including subnets, routing, load balancing, firewalls, and cloud security.
Experience building highly available IaaS and PaaS solutions in enterprise-scale environments.
Understanding of landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Framework principles.
Experience with container-related technologies and CI/CD tools, including Jenkins, pipelines, and container repositories.
Experience with programming and infrastructure automation tools such as Terraform, Ansible, Java, and Python.
Experience with cloud logging, monitoring, and observability tools.
Proficiency in at least one scripting language, such as Bash or Python.
Strong analytical, problem-solving, and organizational skills.
Excellent communication and collaboration skills, including the ability to work in a global team.
Minimum of a 7-year degree in Computer Science or a related discipline.
At least 5 years of Cloud Automation Engineer work experience.

Nice To Haves

Experience in the financial services industry.
Experience with various public cloud service providers.
Experience on technology and infrastructure teams.
Experience in Linux/UNIX system administration.
Experience with container technologies such as Kubernetes, OpenShift, and Docker.

Responsibilities

Translate business and platform requirements into technical definitions, reference architectures, Terraform modules, and reusable platform patterns aligned with enterprise standards and policies.
Design, build, and maintain Terraform infrastructure as code for scalable, consistent, and compliant AWS provisioning, including modules, versioning, and environment strategies.
Contribute to a self-service AWS platform by creating standardized golden paths and templates for safe, efficient infrastructure deployment.
Develop and maintain GitHub Actions automation and CI/CD pipelines, including validation, security scanning, and controlled infrastructure deployments.
Embed security-by-design principles into platform services, including IAM best practices, encryption standards, and secure network architectures.
Support governance and guardrails to meet internal security, risk, and regulatory requirements in financial services.
Develop software and automation to eliminate manual processes and improve platform usability, reliability, and operational efficiency.
Evaluate third-party tools and AWS services for alignment with platform standards, security requirements, and long-term strategy.
Collaborate with Technical Analysts, Infrastructure Engineers, and application teams to integrate solutions with the platform and meet engineering standards.
Contribute to defining and evaluating functional and non-functional platform requirements, including security, scalability, performance, and resilience.
Use AI/ML services to accelerate platform development, improve developer experience, and enable intelligent tooling and workflows.
Develop and maintain Python-based automation and tooling, including AWS Lambda-based workflows, to support platform capabilities and reduce manual operational effort.
Contribute to event-driven and serverless platform components using AWS services.
Support secure, scalable network architectures that align with cloud security and regulatory requirements.
Serve as a subject matter contributor in AWS, Terraform, and platform engineering practices, supporting internal teams adopting platform capabilities.
Contribute to observability and operational excellence through monitoring, alerting, and continuous improvement of platform reliability and resilience.
Promote an inclusive and healthy working environment and help resolve organizational impediments and blockers.