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Senior Engineering Manager Jobs in Connecticut (NOW HIRING)

The function of the Senior Engineering Technician is to provide assistance to Project Managers and Engineers on projects performing Engineering Technician responsibilities as needed. * Prepares ...

The function of the Senior Engineering Technician is to provide assistance to Project Managers and Engineers on projects performing Engineering Technician responsibilities as needed. * Prepares ...

The function of the Senior Engineering Technician is to provide assistance to Project Managers and Engineers on projects performing Engineering Technician responsibilities as needed. * Prepares ...

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Senior Engineering Manager information

See Connecticut salary details

$60.4K

$129.5K

$188.4K

How much do senior engineering manager jobs pay per year?

As of Aug 3, 2026, the average yearly pay for senior engineering manager in Connecticut is $129,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $155,100.00 per year, depending on experience, location, and employer.

What is a senior engineering manager?

A Senior Engineering Manager is a seasoned leader responsible for overseeing multiple engineering teams or large projects within an organization. They manage engineering managers or team leads, set technical direction, and ensure alignment with business goals. Their duties include mentoring staff, driving process improvements, managing budgets, and collaborating with other departments. Senior Engineering Managers play a key role in hiring, performance evaluations, and fostering a productive engineering culture. They typically have extensive industry experience and strong leadership skills.

What are the key skills and qualifications needed to thrive as a senior engineering manager, and why are they important?

To thrive as a Senior Engineering Manager, you need a robust background in engineering principles, leadership experience, and a relevant degree, often complemented by prior management roles. Familiarity with project management tools (such as Jira or Asana), software development methodologies (like Agile), and technical certifications can be highly beneficial. Exceptional communication, conflict resolution, and mentoring skills set top performers apart in this role. These skills are vital for effectively guiding teams, delivering projects on time, and fostering an innovative and collaborative engineering environment.

What is a senior engineering manager?

Senior engineering managers oversee the project team to ensure each phase is completed accurately, on time, and within budget. They coordinate with the company’s marketing and sales departments to determine what products or services are offered to clients and then develop those offerings to specifications. As a senior engineering manager, you may also need to troubleshoot equipment or software. To become a senior engineering manager, you need a certificate or degree in computer science or a related field, several years of working in software development, and management experience.

What is the difference between Senior Engineering Manager vs Engineering Director?

AspectSenior Engineering ManagerEngineering Director
ResponsibilitiesOversees multiple engineering teams, manages project delivery, and mentors managersSets strategic direction, manages multiple departments, and aligns engineering goals with company objectives
Required CredentialsBachelor's or Master's in Engineering or related field, 8+ years experience, leadership skillsSimilar credentials, often with 10+ years experience, strategic planning skills
Work EnvironmentHands-on team management within engineering teamsHigh-level strategic planning, cross-department coordination
Industry UsageCommon in tech companies, startups, and large enterprisesTypically found in larger organizations with complex structures

While both roles require strong technical backgrounds and leadership skills, Senior Engineering Managers focus more on team management and project execution, whereas Engineering Directors are responsible for strategic planning and organizational alignment across multiple teams.

How does a senior engineering manager typically balance technical leadership with people management responsibilities?

A Senior Engineering Manager often splits their time between guiding technical strategy and supporting their team’s professional development. This involves overseeing complex engineering projects, setting clear technical direction, and ensuring best practices are followed, while also mentoring engineers, conducting performance reviews, and fostering a collaborative team culture. Balancing these areas requires strong delegation, prioritization, and communication skills, as well as regularly collaborating with other departments like Product and Design to align goals. Most organizations expect Senior Engineering Managers to actively contribute to both technical and people-focused initiatives, which can be challenging but is essential for team and project success.
What are popular job titles related to Senior Engineering Manager jobs in Connecticut? For Senior Engineering Manager jobs in Connecticut, the most frequently searched job titles are:
What are popular job titles related to Senior Engineering Manager jobs in CT? For Senior Engineering Manager jobs in CT, the most frequently searched job titles are:
Infographic showing various Senior Engineering Manager job openings in Connecticut as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $129,514 per year, or $62.3 per hour.

Senior Engineering Manager, Enterprise AI

Cloudera

Bridgeport, CT • On-site

Other

PTO

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


Job description

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

At Cloudera, our Data Services Pillar is the heart of data innovation. We don't just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.

Cloudera is looking for a Senior Engineering Manager with a strong technical background to help manage the team(s) located in Santa Clara, California or in North America to help drive the development of Cloudera's next-generation AI and machine learning platform. You will be responsible for managing a team that will design, build, and deliver a platform that not only accelerates machine learning & AI from exploration to production but also enables enterprises to create & deploy Generative AI applications using foundation models with enterprise data at scale.

We look for "The Startup Spark", a desire to create new things, dive in wherever there's a need, eagerness to make an impact as an individual and the willingness to learn new things. You must be self-motivated, innovative, and proactive. The role offers significant opportunities for growth.

Read about the Forrester Wave Report on Cloudera's Machine Learning offerings here.

As a Senior Engineering Manager you will:

  • As a Senior Engineering Manager you would be responsible for working with Product Managers to define what capabilities should be built in the product

  • You will have to work with Product Managers to understand customer use cases and help them use our products effectively

  • You will be responsible for the growth of your reports

  • You should be able to fill in, to address gaps in process / practices followed by the team / organization

  • As a leader you should be able to lead by example

We are excited if you have (Required Experience):

  • 10+ years of experience in building enterprise software and 4+ years of management experience

  • Bsc/Msc in related field or equivalent experience

  • Experience building enterprise AI infrastructure and deploying production generative AI applications & agents leveraging open source foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and/or Generative AI frameworks (LangChain, Guidance, etc.)

  • Strong written and oral communication skills

  • Good understanding of Engineering best practices

  • Experience with containerization frameworks like Kubernetes, Docker

  • Strong Understanding of Distributed Systems and building systems at scale

  • Should be able to drive the architecture/design and provide technical direction & guidance to the team

  • Self-driven and motivated, with a strong sense of ownership and craftsmanship

You may also have:

  • Experience with data science and machine learning tools (R, Python, Tensorflow, Spark, mlflow etc.)

  • Experience with AI/ML orchestration software (Kubeflow, KServe, Knative)

  • Experience with cloud technologies (AWS, GCE, Azure)

  • Experience using Big Data technologies like Spark, Hive etc

Why this role matters:

This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You'll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.

We believe in the power of open source. You'll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You'll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.

This role is not eligible for immigration sponsorship

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

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