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Master Software Engineer Jobs in Connecticut (NOW HIRING)

Sr Software Engineer

Greenwich, CT · On-site

$137K - $181K/yr

Bachelor's or master's degree in Computer Science, or related degree. * Minimum 5 years of ... At least 3 years of Java programming experience. * Python, Perl or similar scripting language ...

Sr Software Engineer

Greenwich, CT · On-site

$137K - $181K/yr

Bachelor's or master's degree in Computer Science, or related degree. * Minimum 5 years of ... At least 3 years of Java programming experience. * Python, Perl or similar scripting language ...

Company Description AG Technologies was founded as a software solutions company in 2008 & has its ... C++,SQL,Oracle Qualifications Master of Computer Science /MIS/ECE/EE Additional Information Further ...

Showing results 41-60

Master Software Engineer information

See Connecticut salary details

$60.4K

$140.3K

$195.5K

How much do master software engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for master software engineer in Connecticut is $140,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What is a master software engineer?

A Master Software Engineer is a senior-level software developer who leads complex projects, architects software solutions, and mentors junior engineers. They possess deep technical expertise in multiple programming languages, frameworks, and system architectures. Additionally, they collaborate with cross-functional teams to drive innovation, improve code quality, and ensure scalability. Their role often involves making critical technical decisions, optimizing performance, and implementing best practices in software development.

What are the typical responsibilities and daily tasks of a master software engineer?

A Master Software Engineer is often responsible for designing and reviewing complex software architecture, developing high-quality code, and ensuring that systems are robust and scalable. They mentor junior developers, set technical standards, and collaborate closely with cross-functional teams such as product managers, QA, and operations. Daily tasks may include leading code reviews, troubleshooting advanced technical issues, and contributing to technical strategy discussions. This role often requires balancing hands-on development work with leadership duties, providing both strategic guidance and practical solutions to engineering challenges.

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

To thrive as a Master Software Engineer, you need advanced programming proficiency, deep software architecture knowledge, and substantial experience in designing scalable systems, typically supported by a relevant degree and years of hands-on development. Familiarity with modern development frameworks, cloud platforms, CI/CD tools, and certifications like AWS Certified Solutions Architect or similar are commonly expected. Leadership, effective communication, mentorship abilities, and strong problem-solving skills set top candidates apart. These competencies enable Master Software Engineers to drive complex projects, build high-performing teams, and deliver innovative solutions in demanding technical environments.

Is it worth doing a master's in software engineering?

A master's in software engineering can enhance technical skills, deepen understanding of software development processes, and improve job prospects for roles like Master Software Engineer. However, it requires significant time and financial investment, and practical experience or certifications like Agile or DevOps can also be valuable for career advancement.

What jobs can I get with a master software engineer?

A Master Software Engineer can qualify for advanced roles such as Software Development Manager, Solutions Architect, Technical Lead, or Senior Software Engineer. These positions often require strong coding skills, experience with programming languages, and knowledge of software design and architecture. Certifications like AWS or Scrum can also enhance job prospects in leadership or specialized technical roles.

What are the most commonly searched types of Master Software Engineer jobs in Connecticut?

The most popular types of Master Software Engineer jobs in Connecticut are:

Infographic showing various Master Software Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $140,337 per year, or $67.5 per hour.

Senior Conversational AI Software Engineer

Prophecy Technologies

Hartford, CT • On-site

$123K - $162K/yr

Full-time

Re-posted 8 days ago


Job description

Role Description
• Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)
• Own end-to-end delivery of complex features - from design through deployment, monitoring, and iteration
• Drive engineering excellence in code quality, testability, performance, scalability, and observability
• Perform deep design and code reviews; raise the technical bar across the team
• Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines
• Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails
• Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions
• Help deploy, operate, and maintain large-scale software in production with strong operational discipline
• Mentor mid-level and senior engineers on advanced technical topics and best practices
• Contribute to the long-term technical strategy alongside Principal Engineers and architects
Required Qualifications
• 8 years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure)
• 8 years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 8 years of experience with APIs, microservices, and modern software patterns
• 3 years of experience working with cross-functional stakeholders on complex requirements
• Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
Preferred Qualifications
• Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation
• Experience developing and supporting voice and text chatbots, including dialog design at scale
• Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations
• Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows
• Strong communication skills, capable of explaining technical concepts to both engineering and business audiences
• Advanced degree (Master''s or PhD) in Computer Science, Engineering, AI, or a related field