1

Associate Reliability Engineer Jobs in Boston, MA

Senior Data Engineer

Woburn, MA · Hybrid

$115K - $157K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... reliability requirements. * Ensure data pipelines comply with security policies and regulatory ...

Senior Data Engineer

Woburn, MA · Hybrid

$115K - $157K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week ... reliability requirements. * Ensure data pipelines comply with security policies and regulatory ...

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

AI Engineer

Wakefield, MA

$110K - $150K/yr

Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control ... Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect ...

GMP Inventory Engineer

Boston, MA

$18.50 - $22.75/hr

... Reliability Engineering team. • Ability to maneuver and operate an electric lift used for stocking shelves Preferred Qualifications: • 1-3 years of relevant work experience in the Biotech or ...

Showing results 41-60

Associate Reliability Engineer information

See Boston, MA salary details

$66.3K

$128.2K

$153.2K

How much do associate reliability engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for associate reliability engineer in Boston, MA is $128,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $140,100.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by an associate reliability engineer in their first year, and how can they overcome them?

In their first year, Associate Reliability Engineers often encounter challenges such as learning to analyze failure data, understanding complex systems, and effectively using reliability modeling tools. Adapting to fast-paced project timelines while ensuring accuracy in root cause analysis is also common. To overcome these, new engineers should actively seek mentorship, participate in cross-functional meetings, and take advantage of training on reliability software and methodologies. Building strong communication skills and collaborating closely with experienced engineers and technicians will also help accelerate their learning curve.

What is the difference between Associate Reliability Engineer vs Reliability Engineer?

AspectAssociate Reliability EngineerReliability Engineer
CredentialsBachelor's degree in engineering or related field; certifications like Six Sigma or Reliability Engineering certificationsBachelor's or master's degree; often holds certifications such as Certified Reliability Engineer (CRE)
Work EnvironmentEntry-level, supporting reliability projects, data analysis, and testing in manufacturing or industrial settingsMore advanced responsibilities, leading reliability programs, and implementing maintenance strategies
Employer & Industry UsageCommon in manufacturing, aerospace, and energy sectors as an entry-level roleUsed across similar industries for experienced professionals managing reliability initiatives

The main difference is that Associate Reliability Engineers are entry-level professionals supporting reliability tasks, while Reliability Engineers have more experience and take on leadership roles in reliability programs. Both roles require relevant technical credentials and are vital in maintaining equipment performance and safety.

What are the key skills and qualifications needed to thrive as an associate reliability engineer, and why are they important?

To thrive as an Associate Reliability Engineer, you need a solid background in engineering principles, data analysis, and problem-solving, typically supported by a degree in engineering or a related field. Familiarity with reliability analysis tools (such as Weibull analysis software), maintenance management systems, and reliability-centered maintenance (RCM) methodologies is common. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with cross-functional teams and translate technical findings. These skills and qualities are vital to minimize equipment failures, improve system performance, and ensure operational efficiency.

What does an associate reliability engineer do?

An Associate Reliability Engineer is responsible for supporting the analysis, testing, and improvement of systems or products to ensure their reliability and performance over time. They often work with senior engineers to identify potential failure points, conduct reliability tests, and help implement solutions that increase product lifespan and reduce maintenance costs. Their role may involve data analysis, reporting, and collaboration with design, manufacturing, and quality assurance teams. This position is typically an entry-level engineering role that helps build foundational knowledge in reliability engineering principles.
What are the most commonly searched types of Reliability Engineer jobs in Boston, MA? The most popular types of Reliability Engineer jobs in Boston, MA are:
What are popular job titles related to Associate Reliability Engineer jobs in Boston, MA? For Associate Reliability Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Associate Reliability Engineer jobs in Boston, MA look for? The top searched job categories for Associate Reliability Engineer jobs in Boston, MA are:

Associate, Quantitative DevOps Engineer

HarbourVest

Boston, MA • Hybrid

$57.25 - $78.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago


Job description

Job Description Summary

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.

In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.

We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.

HarbourVest is an equal opportunity employer.

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.


We are seeking a highly skilledAssociate, Quantitative DevOps Engineerto join ourQuantitative Investment Scienceorganization. This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments.

The successful candidate will collaborate with quantitative researchers, data and application engineers, vendors, and IT partners. They will develop, deploy, and support robust CI/CD pipelines and cloud-based environments. You will play a critical role in supporting the full application and data lifecycle-from development through production-within ourAzure-based Investment Data Analytics Platform. Your contributions will directly enhance development efficiency, system reliability, and operational excellence across the organization.

The ideal candidate is someone who:
  • Experience supporting technology applications or digital products using DevOps and process automation methods, preferably in data-focused or research-based environments.

  • Demonstrated experience implementing and administeringGit-based repositories, including branching and version control standards.

  • Proven expertise inCI/CD pipeline development and deployment automation, including the use of approval gates.

  • Strong scripting capabilities inBash, Python, and/or PowerShell.

  • Working knowledge ofSnowflakeand data platform ecosystems.

  • Experience managing cloud infrastructure usinginfrastructure-as- codemethodologies, ideally withinMicrosoft Azure.

  • Proficiency withcontainerization technologiessuch as Docker or Podman.

  • Strong background in configuration management, security, and operational rigor.

  • Proven track record to supportproduction environments, manage incidents, diagnose sophisticated issues, and coordinate resolution efforts.

  • Demonstrated success delivering results on fast-paced, complicated projects.

  • Excellent verbal and written communication skills, with the ability to engage effectively with technical and non-technical collaborators at all levels.

What you will do:
  • Build, implement, and maintain continuous integration and delivery workflows to support automated build, test, approval, and deployment processes across development, test, and production environments.

  • ProvideDevOps and process automation expertiseto improve the efficiency, scalability, and reliability of data-centric and analytical applications.

  • Support the ongoing maintenance, stability, and performance of aMicrosoft Azurecloud.

  • Administer and enforceGit-based source control, including branching strategies, versioning standards, and code promotion practices.

  • Develop and maintaininfrastructure-as-code (IaC)solutions for managing cloud storage, compute, and networking resources.

  • Leveragecontainerization technologies(Docker or Podman) to standardize application deployments.

  • Apply strong configuration management and security guidelines, ensuring alignment with enterprise standards.

  • Provideproduction support, including issue triage, root cause analysis, prioritization, and coordination with analysts and engineers for timely resolution.

  • Collaborate closely with data engineers, researchers, product, and platform engineering to support high-complexity, important initiatives.

  • Contribute to the continuous improvement of DevOps standards, tools, and operational processes.

What you bring:
  • High energy and collaborative work style

  • Proficient in using scripting languages to develop quick prototypes and proof-of-concepts

  • A track record of completed high-intensity, high-complexity projects

  • Experience with business intelligence tools such as Tableau, Power BI, or equivalent

  • Skilled in implementing and managing DevOps practices, CI/CD pipelines

Education Preferred:
  • Bachelor of Arts (B.A) degree or equivalent experience

  • Bachelor of Science (B.S) credential or equivalent experience

Experience:
  • 6 Years of DevOps experience in cloud based, software delivery

  • Experience working within thefinancial services or investment management industry

#LI-Hybrid

Base Salary Range

$135,000.00 - $145,000.00

This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.