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Network Observability Jobs in Connecticut (NOW HIRING)

DevOps Engineer

Norwalk, CT · On-site

$53 - $72.50/hr

Make observability actually catch things: CloudWatch alarms, Synthetics canaries, VPC flow logs ... You can reason about IAM trust policies, VPC networking, and cross-account access without a diagram.

Sr. Software Engineer

Stamford, CT

$130K - $172K/yr

Our team specializes in large-scale Multi-Content Delivery Network design and operations ... Leverage observability tooling (metrics, logs, traces) and performance analytics to detect issues ...

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 ...

DevOps Engineer

Norwalk, CT · On-site

$120 - $160/hr

Make observability actually catch things: CloudWatch alarms, Synthetics canaries, VPC flow logs ... You can reason about IAM trust policies, VPC networking, and cross-account access without a diagram.

Sr. Software Engineer

Stamford, CT · On-site

$130K - $172K/yr

Our team specializes in large-scale Multi-Content Delivery Network design and operations ... Leverage observability tooling (metrics, logs, traces) and performance analytics to detect issues ...

Showing results 41-60

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 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 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 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.

Is network observability a good career?

Network observability is a growing field that involves monitoring and analyzing network performance using tools like telemetry, logs, and metrics. It requires skills in networking, scripting, and understanding of network infrastructure, making it a valuable and in-demand career path with opportunities for advancement. The role often involves working with cloud environments and automation tools, and certifications such as Cisco or Cisco DevNet can enhance job prospects.

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:

CCaaS x AI, Manager, Technical Transformation

Deloitte

Stamford, CT • On-site

$123K - $124K/yr

Full-time

Re-posted 11 days ago


Key responsibilities

  • Lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions.

  • Design scalable AWS-based solutions and translate client requirements into technical architectures and integration designs.

  • Partner with stakeholders to resolve technical decisions, manage delivery risks, and support proposals and estimates.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Technical Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a Technical Manager, you will lead the architecture, engineering, and delivery of cloud-based contact center and Generative AI solutions. You will work across business, functional, and technical stakeholders to design secure, scalable solutions using AWS and cross-platform CCaaS capabilities-from technical strategy and architecture through build, testing, deployment, and production support.

  • Lead technical delivery for CCaaS and Contact Center AI transformations, guiding teams from solution design and architecture through implementation, testing, deployment, and production support.
  • Design scalable AWS-based solutions using Amazon Connect, Lex, Bedrock, Lambda, API Gateway, S3, DynamoDB, and CloudWatch, incorporating Generative AI patterns such as RAG, agent/tool calling, knowledge grounding, and guardrails.
  • Translate client requirements into technical architectures, integration designs, delivery plans, testing strategies, and secure cloud solutions spanning CCaaS, CRM, WFM, analytics, knowledge management, and enterprise platforms.
  • Partner with client executives, architects, engineers, and operations leaders to resolve technical decisions, manage delivery risks, support proposals and estimates, and mentor Deloitte practitioners.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in technology consulting, software engineering, cloud architecture, or enterprise solution delivery, including 4+ years designing, building, deploying, and supporting AWS solutions in production.
  • Experience designing and implementing cloud-based contact center solutions using platforms such as Amazon Connect, Genesys, NICE CxONE, or Five9, including Generative AI capabilities such as LLMs, RAG, agent/tool calling, conversational AI, or automation.
  • Experience with AWS integration and cloud-native architectures, APIs, event-driven solutions, data flows, enterprise security controls, CI/CD, automated testing, source control, Agile/Scrum, and SDLC governance.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,00 to $241,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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