ZipRecruiter

Log In

1

Network Observability Jobs in Connecticut (NOW HIRING)

GXO Logistics

Principal Cloud Engineer

Greenwich, CT · On-site

$62.50 - $83.75/hr

Engineer and operate production-grade Google Kubernetes Engine (GKE) platforms, including cluster architecture, networking, ingress/egress, autoscaling, observability, and operational runbooks.

Farm Credit East

IT Operations Manager

Enfield, CT · On-site

... network resilience, and optimize cloud adoption. * Govern patching, upgrades, lifecycle management, and configuration standards. * Strengthen monitoring, observability, and proactive incident ...

Farm Credit East

IT Operations Manager

Enfield, CT

... network resilience, and optimize cloud adoption. * Govern patching, upgrades, lifecycle management, and configuration standards. * Strengthen monitoring, observability, and proactive incident ...

Farm Credit East

IT Operations Manager

Enfield, CT · On-site

... network resilience, and optimize cloud adoption. * Govern patching, upgrades, lifecycle management, and configuration standards. * Strengthen monitoring, observability, and proactive incident ...

Synchrony Financial

Reliability Engineer - OnePay

Stamford, CT · On-site

$60.75 - $80.75/hr

Work with peers to enhance observability, including establishing/maintaining dashboards and ... Familiar with network programming concepts and protocols. * Proficiency in DevOps concepts and Site ...

New

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

Our team specializes in large-scale Multi-Content Delivery Network design and operations ... Make best use of our observability systems & advanced analytics to surface issues, drive diagnosis ...

NBCUniversal

Software Engineer

Stamford, CT · Hybrid

Our team specializes in large-scale Multi-Content Delivery Network design and operations ... Make best use of our observability systems & advanced analytics to surface issues, drive diagnosis ...

previous page

Showing results 41-60

All JobsNetwork Observability JobsNetwork Observability Jobs in Connecticut

Network Observability information

What is network observability?

Network observability refers to the ability to gain deep visibility into all aspects of a computer network’s operations, performance, and health. It involves collecting and analyzing data from various sources such as logs, metrics, and traces to detect issues, optimize performance, and ensure security. Unlike traditional monitoring, observability provides insights into the underlying causes of network problems, enabling faster troubleshooting and proactive management. Network observability tools help organizations maintain reliable, secure, and efficient network infrastructure, which is especially important in complex or large-scale environments.

What is the difference between Network Observability vs Network Monitoring?

AspectNetwork ObservabilityNetwork Monitoring
FocusProvides comprehensive insights into network performance, health, and security through data collection, analysis, and visualization.Tracks network uptime, availability, and basic performance metrics to detect outages or issues.
Tools & SkillsUses advanced analytics, telemetry, and machine learning; requires knowledge of data analysis and network architecture.Utilizes monitoring tools like SNMP, ping, and simple dashboards; requires basic network troubleshooting skills.
PurposeEnables proactive troubleshooting, capacity planning, and security analysis by understanding complex network behaviors.Provides real-time alerts and status updates to quickly identify and resolve network issues.

While both roles focus on network health, Network Observability offers a deeper, data-driven understanding of network behavior, supporting proactive management. Network Monitoring is more about real-time detection of outages and basic performance tracking. Organizations often use both to ensure robust network performance and security.

What are some common challenges faced by professionals in network observability roles, and how can they be addressed?

Professionals in Network Observability often face challenges like managing large volumes of network data, integrating diverse monitoring tools, and quickly identifying the root cause of network issues. Addressing these challenges typically involves automating data collection, leveraging advanced analytics, and fostering close collaboration with network engineers and security teams. Staying updated with the latest observability platforms and best practices can also help streamline workflows and improve network performance monitoring.

What are the key skills and qualifications needed to thrive in network observability, and why are they important?

To excel in Network Observability, you need a strong understanding of networking fundamentals, troubleshooting, and data analysis, often supported by a degree in computer science or a related field. Familiarity with monitoring tools like Wireshark, Datadog, Grafana, and knowledge of protocols such as SNMP and NetFlow, as well as relevant certifications (e.g., Cisco CCNA/CCNP), are typically required. Strong problem-solving, attention to detail, and communication skills help professionals quickly identify issues and work with cross-functional teams. These competencies are essential for ensuring network reliability, performance, and rapid incident response in complex IT environments.

What are the most commonly searched types of Network Observability jobs in Connecticut?

The most popular types of Network Observability jobs in Connecticut are:

What are popular job titles related to Network Observability jobs in Connecticut?

For Network Observability jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Network Observability jobs in Connecticut look for?

The top searched job categories for Network Observability jobs in Connecticut are:

Network Observability jobs near you

Principal Cloud Engineer

GXO Logistics

Greenwich, CT • On-site

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

GXO Logistics rating

7.1

Company rating: 7.1 out of 10

Based on 240 frontline employees who took The Breakroom Quiz

203rd of 362 rated logistics

Job description

Logistics at full potential.
At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.
Principal Cloud Engineer
Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Cloud Engineer, Google Cloud, you will serve as one of GXO's senior technical leaders responsible for building, implementing, and scaling our Google Cloud Platform. This is a deeply hands-on engineering role focused on delivering secure, production-ready cloud infrastructure, platform automation, Kubernetes, networking, and enterprise AI platform capabilities. Working alongside architects, security teams, and engineering partners, you'll transform cloud strategy into scalable, resilient, and operational solutions that power GXO's next generation of enterprise platforms.
If you're looking for an opportunity to build the cloud foundation for enterprise AI while shaping the future of Google Cloud engineering at global scale, join us at GXO.
Pay, benefits and more
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
What you'll do on a typical day
  • Build and scale GXO's Google Cloud Platform foundation, including organization hierarchy, landing zones, Shared VPC, IAM, Workload Identity Federation, Secret Manager, Cloud KMS/CMEK, Identity-Aware Proxy (IAP), and Cloud Logging and Monitoring.
  • Develop reusable Terraform modules, project factory patterns, secure-by-default configurations, and standardized deployment patterns across multiple environments.
  • Engineer and operate production-grade Google Kubernetes Engine (GKE) platforms, including cluster architecture, networking, ingress/egress, autoscaling, observability, and operational runbooks.
  • Translate enterprise architecture into secure, scalable, production-ready cloud implementations.
  • Build Infrastructure as Code (IaC) standards through reusable Terraform modules, GitOps workflows, CI/CD pipelines, policy guardrails, and platform automation.
  • Develop and maintain CI/CD pipelines using Cloud Build, GitHub Actions, Artifact Registry, and related cloud-native tooling.
  • Automate cloud platform operations, integrate Google Cloud APIs, and reduce operational overhead through engineering best practices.
  • Engineer enterprise networking capabilities including Shared VPC, Private Service Connect, VPC Service Controls, Cloud NAT, firewall policies, segmentation, Cloud Interconnect, and High Availability VPN.
  • Partner with Information Security to implement zero-trust cloud security including least privilege access, Workload Identity Federation, Binary Authorization, encryption, secrets management, audit logging, and data protection controls.
  • Integrate Security Command Center, CSPM tooling, automated compliance, monitoring, alerting, tracing, and reliability engineering practices into the cloud platform.
  • Build self-service platform capabilities that enable product, data, and AI engineering teams to rapidly consume cloud services while maintaining enterprise governance.
  • Embed FinOps practices including cost attribution, budgeting, rightsizing, committed use planning, tagging standards, and cloud cost optimization.
  • Engineer the Google Cloud foundation supporting GXO's Enterprise AI Platform, including GKE-based runtimes, AI gateways, model services, agent runtimes, MCP servers, Agent Registry, and governed Snowflake integrations.
  • Partner with Data Engineering, Security, and Enterprise Architecture to deliver secure AI infrastructure supporting inference, agent execution, identity passthrough, and end-to-end traceability.
  • Serve as a senior hands-on engineer by writing Terraform, reviewing pull requests, troubleshooting complex cloud issues, mentoring engineers, and raising engineering standards across the organization.

What you need to succeed at GXO
At a minimum, you'll need
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent work experience.
  • Google Cloud Professional Cloud Architect certification.
  • 10-15+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or distributed systems.
  • 5-7+ years of hands-on experience designing, building, and operating enterprise-scale Google Cloud environments.
  • Demonstrated experience building and scaling enterprise cloud platforms rather than solely operating existing environments.
  • Deep expertise in Google Cloud resource hierarchy, organization policies, IAM, Workload Identity Federation, networking, Shared VPC, Cloud KMS/CMEK, Identity-Aware Proxy (IAP), logging, monitoring, and secure cloud operations.
  • Extensive hands-on experience with Google Kubernetes Engine (GKE), Kubernetes networking, autoscaling, Cloud Run, ingress/egress, and production operations.
  • Strong experience implementing Infrastructure as Code using Terraform, GitOps, CI/CD pipelines, Artifact Registry, and policy-as-code.
  • Proven expertise implementing zero-trust cloud security including least privilege access, Binary Authorization, encryption, secrets management, audit logging, and secure operational controls.
  • Experience implementing enterprise observability, reliability engineering, and FinOps practices for cloud platforms.
  • Experience building reusable platform engineering capabilities and self-service cloud infrastructure.
  • Experience supporting enterprise AI, analytics, machine learning, or large language model (LLM) platforms on Google Cloud.
  • Strong written and verbal communication skills with experience documenting engineering standards, technical designs, and operational runbooks.
  • Demonstrated ability to mentor engineers while collaborating effectively with architects, security teams, infrastructure teams, and technology partners.
  • Ability to operate effectively with minimal supervision in a fast-paced, global enterprise environment.

It'd be great if you also have
  • Google Cloud Professional Security Engineer certification.
  • Google Cloud Professional DevOps Engineer certification.
  • Google Cloud Professional Machine Learning Engineer certification.
  • Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
  • HashiCorp Terraform Associate certification.
  • Experience supporting AI platforms utilizing Vertex AI, Gemini Enterprise Agent Platform, LiteLLM, MCP, AI gateways, agent runtimes, or comparable technologies.
  • Experience integrating Google Cloud workloads with Snowflake using OAuth, RBAC, masking policies, row-level security, and governed data access.
  • Experience implementing enterprise FinOps practices for large-scale cloud environments.
  • Experience building secure multi-tenant cloud platforms and reusable engineering frameworks.
  • Demonstrated success collaborating across enterprise architecture, cloud engineering, security, and infrastructure organizations while contributing to shared engineering standards and best practices.

We engineer faster, smarter, leaner supply chains.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

What GXO Logistics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

GXO Logistics logo

About GXO Logistics

Sourced by ZipRecruiter

GXO Logistics, located in Greenwich, CT, US, is a global leader in the logistics industry. Specializing in innovative supply chain management, it operates across various sectors including e-commerce, food and beverage, technology, and retail. The company has cemented a notable reputation for providing top-notch outsourcing solutions that equip businesses to respond to market changes quickly and efficiently. Originally part of XPO Logistics, GXO, officially separated and spun off as a unique corporation in 2021, taking with it decades of expertise and a robust client roster. Their mission is to propel businesses forward with cutting-edge logistics and transportation solutions while adhering to their core values of safety always, customer-centric, and inclusive.

Industry

Transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US

Year founded

2021

View All GXO Logistics Jobs

Apply