1

Master Software Engineer Jobs in New Jersey (NOW HIRING)

Minimum 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Computer Science, Software Engineering, Mathematics, or related field * Demonstrated full-stack ...

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

Minimum 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Computer Science, Software Engineering, Mathematics, or related field * Demonstrated full-stack ...

Full-Stack Software Engineer

Red Bank, NJ · On-site

$104K - $166K/yr

Minimum 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Computer Science, Software Engineering, Mathematics, or related field * Demonstrated full-stack ...

Showing results 41-60

Master Software Engineer information

See New Jersey salary details

$64.5K

$149.8K

$208.6K

How much do master software engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for master software engineer in New Jersey is $149,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $175,600.00 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 New Jersey?

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

Infographic showing various Master Software Engineer job openings in New Jersey as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $149,771 per year, or $72 per hour.

$144.20 - $288.40/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Lead the technical direction of a real-time, multi-service clinical platform on GCP and build critical, performance-sensitive components.

  • Design, operate, and support scalable LLM pipelines, including prompt engineering, structured outputs, retrieval, OCR-based document understanding, and hallucination mitigation.

  • Architect distributed, event-driven, streaming services that support sub-second clinician experiences, ensuring high performance, fault tolerance, and adherence to strict SLOs.


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

We are hiring a Principal Software Engineer - a deeply hands‑on technical leader who thrives on solving complex problems, writing production code, and elevating the engineers around them. You will serve as the senior engineering voice across a portfolio of mission‑critical clinical decision‑support applications. These systems combine low‑latency distributed architectures with advanced LLM, OCR, and ML pipelines running on Google Cloud. This is not an "architect‑from‑the‑sidelines" role. You will actively design systems, write critical code, ship to production, support live environments, and mentor engineers across UI, backend, and ML. Success in this role is measured by the quality, performance, reliability, and clinical impact of what you deliver—not by presentations.

What You’ll Do
  • Own architecture and execution — Lead the technical direction of a real‑time, multi‑service clinical platform on GCP, while personally building the most critical and performance‑sensitive components.
  • Build production‑grade LLM systems — Design and operate scalable LLM pipelines (e.g., Claude, Gemini, GPT‑4‑class) including prompt engineering, structured outputs, evaluation frameworks, retrieval/vector search, OCR‑based document understanding, grounding, guardrails, and hallucination mitigation.
  • Deliver real‑time, high‑performance systems — Architect distributed, event‑driven, streaming services that support sub‑second clinician experiences under heavy load, with strict SLOs and strong fault tolerance.
  • Operationalize machine learning — Lead deployment and lifecycle management of models on Vertex AI, including feature pipelines, model registries, drift detection, A/B and shadow testing, and CI/CD‑integrated quality controls.
  • Design for scalability and change — Build flexible APIs, microservices, and data contracts that support rapid iteration, backed by strong testing, observability, and progressive delivery practices.
  • Raise the engineering bar — Drive high‑quality code reviews, establish standards across testing, CI/CD, security, and observability, and mentor engineers across full‑stack and ML disciplines.
  • Own outcomes end‑to‑end — Translate ambiguous clinical and business needs into delivered solutions, monitor real‑world performance, and continuously iterate based on data.
  • Partner across disciplines — Collaborate with Data Science, Product, Clinical SMEs, AI Governance, and Security teams to ensure solutions meet enterprise standards for compliance, privacy, and safety.
Required Qualifications
  • 10+ years of software engineering experience with a strong record of delivering production systems at scale
  • 5+ years as a hands‑on Staff or Principal‑level engineer (actively coding, not removed from implementation)
  • Expert proficiency in Python including performance tuning, concurrency, and system optimization
  • 5+ years building real‑time distributed systems (event‑driven, streaming, Pub‑Sub) with clear latency and reliability requirements
  • 5+ years working in a major public cloud (GCP preferred: Vertex AI, GKE, Cloud Run, Pub/Sub, BigQuery, IAM, etc.)
  • Deep experience with microservices architecture, API design (REST), and resilient systems (retries, backpressure, tracing)
  • 3+ years building and operating production ML systems (MLOps, monitoring, retraining, deployment pipelines)
  • 3+ years developing LLM‑powered applications in production, including prompt design, RAG/vector search, evaluation frameworks, and performance optimization
  • Experience building modern UI components with React or Angular
  • Strong computer science fundamentals, including distributed systems, algorithms, and concurrency
Preferred Qualifications
  • Experience operating LLM systems in regulated environments (PII/PHI, governance, security, auditability)
  • Familiarity with vector databases (e.g., Vertex Vector Search, Pinecone, Weaviate, pgvector) and advanced retrieval techniques
  • Experience designing evaluation frameworks for LLM systems (gold datasets, regression testing, LLM‑as‑judge)
  • Strong background in CI/CD, SRE practices, and SLO‑driven engineering
  • Experience with healthcare data standards (FHIR, HL7) and compliance frameworks (HIPAA, HITRUST)
  • Strong communication skills, with the ability to explain complex systems to both technical and non‑technical audiences
  • Proven track record of mentoring engineers into senior and staff roles
Education
  • Bachelor's degree in Computer Science or a related field (or equivalent experience)
  • Master's or PhD in Computer Science, Machine Learning, or a related discipline is a plus
Pay Range

The typical pay range for this role is: $144,200.00 - $288,400.00. This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Benefits

Great benefits for great people. We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 10/02/2026.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

#J-18808-Ljbffr