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AWS Cloud / GoLang Software Engineering Consultant
- Merrimack, New Hampshire, United States
- Merrimack, New Hampshire, United States
Über
Our client seeks a customer-focused Software Engineer to help build and operate containerized services as well as authentication and authorization platforms. The role requires hands‑on collaboration with core engineering teams, leveraging CI/CD, cloud, and networking fundamentals to support high availability and scalable systems. You will contribute to service-based architectures and operational excellence through observability and automation. Your work will support reliable web security and access control for enterprise environments as you join a highly critical engineering team responsible for administering and operating enterprise-scale cloud platforms that support external‑facing web and mobile applications in the financial services industry.
This team plays a foundational role in ensuring the availability, performance, and security of large‑scale authentication, authorization, and traffic‑routing platforms that must operate reliably in demanding, always‑on environments.
You will work within a core engineering group focused on AWS cloud infrastructure, networking, and edge technologies, partnering closely with application and platform teams to keep mission‑critical systems running without interruption.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $65.00 to $70.00/hr. w2
JN -052026-106953
Responsibilities
Design, configure, and troubleshoot networking solutions in AWS, supporting highly available and scalable applications
Support and maintain cloud and on‑prem networking architectures, including security controls and perimeter defenses
Implement and manage traffic routing, CDN, and edge technologies, with strong preference for experience using Akamai
Operate and improve CI/CD pipelines, with hands‑on exposure to tools such as Jenkins
Monitor system health using observability tools such as Splunk and/or Datadog, and respond to incidents to maintain uptime
Partner with application and platform engineering teams to support containerized and service‑based architectures
Participate in troubleshooting efforts to identify root causes and prevent future outages
Contribute to operational best practices, documentation, and continuous improvement initiatives
Support production cloud and network environments for externally facing enterprise applications
Troubleshoot network connectivity, routing, and performance issues across AWS and hybrid environments
Monitor logs, metrics, and alerts to proactively identify risks and performance degradation
Collaborate with senior engineers on platform enhancements and automation efforts
Support secure architectures aligned with enterprise security standards
Work in a fast‑paced, iterative environment supporting systems where uptime is critical
Experience Requirements
5+ years of professional experience in cloud, networking, or infrastructure engineering roles
Hands‑on experience with AWS networking, including VPCs, routing, security groups, and related services
Strong understanding of networking and security concepts, including perimeter security and DMZ‑style environments
Experience supporting or operating enterprise‑grade, externally facing platforms
Practical experience with observability tools (Splunk and/or Datadog)
Experience working with CI/CD pipelines, particularly Jenkins
Nice to Have
Experience with Go (Golang)
Exposure to containerized or microservices‑based architectures
Familiarity with CDN, edge, or traffic management platforms beyond Akamai
Experience supporting high‑availability systems in regulated or large‑scale enterprise environments
Familiarity with cloud platforms such as AWS, or experience developing and running applications in cloud environments (preferred).
Exposure to traffic routing, CDN, or edge technologies such as Akamai (preferred).
Exposure to monitoring, logging, or observability tools such as Datadog or Splunk (preferred).
Education Requirements Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience will be prioritized in the hiring process
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Sprachkenntnisse
- English
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