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Mid Level Software Engineer Jobs in Manchester, CT

= We are seeking a Mid to Senior SDET to own and evolve our test infrastructure, enabling our ... for API-level, backend service, and end-to-end scenarios - Validate complex multi-turn ...

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Mid Level Software Engineer information

See Manchester, CT salary details

$64.1K

$149K

$207.6K

How much do mid level software engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mid level software engineer in Manchester, CT is $148,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $174,700.00 per year, depending on experience, location, and employer.

What is a mid level software engineer?

A Mid Level Software Engineer is a professional with a few years of experience who develops, tests, and maintains software applications. They work independently on tasks, contribute to code reviews, and collaborate with teams to design and implement solutions. Mid-level engineers are expected to write clean, efficient code, troubleshoot issues, and improve system performance. They may also mentor junior developers and participate in architectural discussions. Typically, they have strong problem-solving skills and proficiency in programming languages relevant to their role.

What typical responsibilities can I expect as a mid level software engineer?

As a Mid Level Software Engineer, you will be involved in designing, coding, testing, and maintaining software applications, often working on both new and existing projects. You’ll collaborate with other engineers, product managers, and QA teams to deliver features that meet business requirements, while also participating in code reviews and contributing to architectural decisions. Your responsibilities may also include troubleshooting bugs, refining development processes, and occasionally mentoring junior engineers. This role typically offers a blend of technical challenge, teamwork, and opportunities for continued skill development.

What are the key skills and qualifications needed to thrive in the mid level software engineer position, and why are they important?

To thrive as a Mid Level Software Engineer, you need a solid understanding of software development principles, programming languages such as Java, Python, or C#, and a bachelor’s degree in computer science or a related field. Experience with version control systems like Git, familiarity with agile methodologies, and sometimes certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate are advantageous. Strong problem-solving skills, teamwork, and effective communication are standout soft skills in this position. These combined skills enable engineers to deliver high-quality code, collaborate efficiently within development teams, and adapt to evolving project requirements.

Is 25 too late to become a mid level software engineer?

Age is not a barrier to becoming a mid level software engineer; many professionals transition into software development in their mid-20s or later. Success depends on acquiring relevant skills, such as programming languages and software development tools, and gaining practical experience through projects or internships.
What are the most commonly searched types of Software Engineer jobs in Manchester, CT? The most popular types of Software Engineer jobs in Manchester, CT are:
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What cities near Manchester, CT are hiring for Mid Level Software Engineer jobs? Cities near Manchester, CT with the most Mid Level Software Engineer job openings:
Infographic showing various Mid Level Software Engineer job openings in Manchester, CT as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $148,998 per year, or $71.6 per hour.

Other

Posted 20 days ago


Job description

Job description

 =

We are seeking a Mid to Senior SDET to own and evolve our test infrastructure, enabling our engineering team to ship quality features at velocity. You will design test harnesses, establish testing best practices, and ensure our platform—including AI Agent capabilities—is thoroughly validated across API, backend, and full-stack scenarios.

This is not a QA role. You are an engineer with a testing focus, embedded with developers, contributing to sprint work, test strategy, and platform reliability.

Key Responsibilities

- Understand how all elements of the system software ecosystem work together and develop QA approaches and tools that fit the overall strategy

- Collaborate with Product, Architecture, and Engineering teams to define test strategy, coverage goals, and acceptance criteria

- Develop test strategies and create appropriate test harnesses for Conversational AI systems across Voice and Chat channels

- Identify testing gaps and recommend solutions

- Design, build, and maintain reusable test harnesses and frameworks that eliminate decision paralysis for engineers

- Provide clear patterns for: test framework selection, test data setup, and test implementation

- Create comprehensive examples and documentation so developers can write tests without reinventing solutions

- Provide test infrastructure to enable engineering teams to test and own quality of the services

- Support testing across Java/Node.js backends, APIs, and Conversational AI platforms

- Develop specialized test strategies for conversational AI workflows and agent interactions

- Build test harnesses for API-level, backend service, and end-to-end scenarios

- Validate complex multi-turn conversations, intent recognition, and orchestration logic

- Develop and automate Voice and Chat test plans

- Be a stakeholder of the release to ensure defects are fixed per SLA and end customer experience is protected and improved

- Monitor and report on test execution and quality metrics

- Validate that platform changes maintain or improve customer experience

- Educate and train engineers on test harnesses, frameworks, and best practices

- Mentor team members on test-driven development and automation patterns

- Make testing accessible—remove friction from the testing process

- When harness work is complete, contribute to automated test implementation and general development items

- Pair with developers on complex testing scenarios

- Help close any testing gaps across the team

Required Qualifications

- 5+ years total software engineering experience with 3+ years focused on test automation/SDET work

- A deep understanding of automation testing and ability to lead engineers in writing automation scripts/programs that aid automated testing

- Strong proficiency in at least one backend language: **Java, Node.js with object-oriented design experience

- API testing expertise: REST, request/response validation, mocking, contract testing.

- Test framework experience: JUnit, Jest, or equivalent; experience building custom frameworks a plus

- Tools and Test Platforms - SOAPUI, Postman, Bruno, Playwright, Selenium, Cucumber, Hammer and Cyara.

- Voice and Chat test automation expertise and familiarity with test methodologies for conversational systems.

- CI/CD pipeline knowledge: GitHub Actions, comfortable with automation in pipelines

- Test data management: Experience designing and maintaining test data strategies

- Full-stack testing: Comfortable testing across APIs, backends, and frontend layers

- Strong communication: Ability to document patterns, mentor others, and articulate testing strategy

- Familiarity with software technologies, methodologies, and applied software engineering practices such as Object-Oriented Design (OOD) and cloud software development

- Experience with testing LLM/AI responses, using such approaches as LLM-as-a-judge, etc

- On-site availability (required in Hartford CT or Wellesley MA)

Preferred Qualifications

- Deep hands-on technical expertise in automation, developing test frameworks, tools, and APIs

- Experience with conversational AI platforms

- Experience with contract testing or API mocking tools

- Knowledge of performance/load testing frameworks

- Understanding or experience testing AI agents