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Senior Java Engineer Jobs in New Haven, CT (NOW HIRING)

Principal Software Engineer

Danbury, CT ยท On-site

$137K - $184K/yr

... senior leadership, while also interfacing with manufacturing, customer support, and external ... Experience with Java, C#, .NET, ASP.net * Knowledge of web-based service architecture and ...

Principal Software Engineer

Danbury, CT ยท On-site

$137K - $184K/yr

... senior management * BS or MS Degree in Computer Science or related discipline Desired ... Experience with Java, C#, .NET, ASP.net * Knowledge of web based service architecture and ...

Showing results 21-40

Senior Java Engineer information

See New Haven, CT salary details

$11

$63

$86

How much do senior java engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for senior java engineer in New Haven, CT is $63.18, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $70.58 per hour, depending on experience, location, and employer.

What is a senior Java engineer?

Senior Java Engineers are experienced software developers who specialize in designing, developing, and maintaining applications using the Java programming language. They often lead development teams, architect solutions, and ensure that software meets both technical and business requirements. Their responsibilities also include code reviews, mentoring junior developers, and optimizing application performance. Typically, they have several years of experience and a deep understanding of Java frameworks and best practices.

What are the key skills and qualifications needed to thrive as a senior Java engineer?

To thrive as a Senior Java Engineer, you need advanced proficiency in Java programming, strong knowledge of software design patterns, and a degree in computer science or related field. Experience with frameworks like Spring, Hibernate, build tools such as Maven or Gradle, and familiarity with cloud platforms and CI/CD systems are typically required. Excellent problem-solving abilities, leadership, and effective communication help you guide teams and collaborate with stakeholders. These skills are crucial for delivering robust, scalable software solutions and mentoring junior engineers in complex development environments.

What are some common challenges senior Java engineers face when working on large-scale enterprise applications?

Senior Java Engineers often encounter challenges such as managing complex codebases, ensuring application scalability, and maintaining high performance under heavy loads. They are also responsible for implementing robust security practices and integrating new technologies without disrupting existing systems. Effective collaboration with cross-functional teams and mentoring junior developers are crucial aspects of the role, as these responsibilities help maintain code quality and project momentum.

What is the difference between Senior Java Engineer vs Java Developer?

AspectSenior Java EngineerJava Developer
Required CredentialsBachelor's in Computer Science, Java certifications (e.g., Oracle Certified Professional)Bachelor's in Computer Science or related field, Java certifications optional
Work EnvironmentDesigning, developing, and maintaining complex Java applications, often in team leadership rolesDeveloping Java applications, focusing on coding and implementation
Industry UsageUsed across finance, tech, and enterprise sectors for large-scale projectsCommonly employed in software development firms, startups, and tech companies

While both roles involve Java programming, Senior Java Engineers typically handle complex system design, mentorship, and project leadership, whereas Java Developers focus more on coding and implementing features. The senior role often requires more experience and certifications, with a broader scope of responsibilities.

What are popular job titles related to Senior Java Engineer jobs in New Haven, CT?

For Senior Java Engineer jobs in New Haven, CT, the most frequently searched job titles are:

What cities near New Haven, CT are hiring for Senior Java Engineer jobs?

Cities near New Haven, CT with the most Senior Java Engineer job openings:

Infographic showing various Senior Java Engineer job openings in New Haven, CT as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $131,422 per year, or $63.2 per hour.

Senior Performance Engineer ID84179

Monroe, CT โ€ข On-site

AgileEngine
Software Developmentย โ€ขย 201 - 500 employees

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Performance Engineer to own and lead an enterprise-wide Performance Engineering function as a horizontal shared service across a global QSR digital ecosystem including web, mobile, kiosk, POS, loyalty, and payments systems. You will design and execute load, stress, and endurance tests using JMeter, k6, or similar tools, integrate automated performance validation into Azure DevOps CI/CD pipelines, partner with SRE and DevOps teams on chaos engineering experiments, and leverage AI-assisted workflows for performance planning and results triage.
WHAT YOU WILL DO
- Own the enterprise Performance Engineering charter as a horizontal shared service, establishing engagement models and SDLC performance-readiness standards.
- Design, script, execute, and report performance tests (load, stress, endurance, scalability) across high-volume ordering, kiosk, POS, loyalty, and payment flows.
- Identify and resolve bottlenecks across application, database, messaging, and infrastructure layers using observability signals (e.g., Dynatrace).
- Embed automated performance validation into CI/CD pipelines (e.g., Azure DevOps) with baseline and threshold gating.
- Partner with SRE/DevOps teams to define reliability targets and run controlled chaos-engineering experiments (fault/latency injection, dependency degradation).
- Define performance-readiness criteria, provide evidence-based go/no-go release recommendations, and assist with production performance-incident resolution.
- Integrate AI-assisted workflows into performance planning, test-design acceleration, and results triage while maintaining AI-consumable artifacts and safety guardrails.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of experience in performance engineering or non-functional testing at enterprise scale.
- Hands-on expertise with performance testing tools (e.g., JMeter, k6, LoadRunner, NeoLoad, or OctoPerf).
- Experience with enterprise observability and cloud monitoring platforms (e.g., Dynatrace).
- Demonstrated experience integrating automated performance validation into CI/CD pipelines (e.g., Azure DevOps).
- Scripting and automation proficiency in Java, JavaScript, or Python.
- Hands-on engineering experience in cloud environments (AWS or Azure).
- Hands-on experience using AI-assisted engineering tools, including reviewing and validating AI-generated output.
- Strong communication and stakeholder leadership skills with the ability to translate technical findings into clear business impact.
- Upper-intermediate English level.
NICE TO HAVES
- Direct experience partnering with SRE/DevOps practices on chaos engineering (fault/latency injection and dependency degradation testing).
- Prior experience supporting digital platforms within quick-service-restaurant (QSR), retail, or high-volume transactional ordering ecosystems.
- Experience maintaining AI-consumable artifacts (NFRs, workload models, baselines, thresholds) and defining AI guardrails.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location