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Reliability Engineer Jobs in Delaware (NOW HIRING)

Berkley

Command Center Manager

Wilmington, DE · On-site

Collaborating with SRE and infrastructure teams to enhance monitoring and tooling * Reporting on KPIs, system availability, and customer satisfaction metrics Qualifications What You Bring * 5+ years ...

Berkley

Command Center Manager

Wilmington, DE

Collaborating with SRE and infrastructure teams to enhance monitoring and tooling * Reporting on KPIs, system availability, and customer satisfaction metrics What You Bring * 5+ years in a leadership ...

Berkley

Command Center Manager

Wilmington, DE

Collaborating with SRE and infrastructure teams to enhance monitoring and tooling * Reporting on KPIs, system availability, and customer satisfaction metrics Qualifications What You Bring * 5+ years ...

Dlapiper

Director, Engineering

Wilmington, DE · On-site

Partner with infrastructure, operations, SRE, and end-user support teams to ensure stable production operations and smooth lifecycle support for delivered capabilities. * Provides leadership to and ...

JPMorganChase

Lead Software Engineer

Wilmington, DE · On-site

This position involves leading technical initiatives, mentoring engineers, and developing innovative software solutions to enhance operational stability and reliability within the organization.

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Showing results 1-20

All JobsReliability Engineer JobsReliability Engineer Jobs in Delaware

Reliability Engineer information

See Delaware salary details

$61.1K

$118.1K

$141.1K

How much do reliability engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for reliability engineer in Delaware is $118,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $129,100.00 per year, depending on experience, location, and employer.

What are some typical challenges Reliability Engineers face when implementing preventive maintenance strategies?

Reliability Engineers often encounter challenges such as balancing preventive maintenance schedules with production demands, ensuring buy-in from operations teams, and accurately predicting equipment failures. They must analyze large sets of historical data to identify trends and root causes, which can be complex in facilities with diverse machinery. Collaboration with maintenance, operations, and engineering teams is essential to develop effective strategies that minimize downtime while optimizing resources.

What does a reliability engineer do?

A reliability engineer is responsible for ensuring that systems, equipment, or products perform consistently and without failure over time. They analyze failure data, develop maintenance strategies, and implement improvements using tools like FMEA and root cause analysis to enhance reliability and reduce downtime.

What are the key skills and qualifications needed to thrive as a Reliability Engineer, and why are they important?

To thrive as a Reliability Engineer, you need a solid background in engineering principles, failure analysis, and reliability modeling, typically with a degree in engineering or a related field. Familiarity with tools such as FMEA, Root Cause Analysis (RCA), reliability-centered maintenance (RCM) software, and certifications like Certified Reliability Engineer (CRE) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure systems are dependable, downtime is minimized, and organizational performance and safety are optimized.

What is the difference between Reliability Engineer vs Maintenance Engineer?

AspectReliability EngineerMaintenance Engineer
CredentialsTypically requires engineering degree, certifications in reliability or asset managementOften requires engineering or technical diploma, certifications in maintenance or equipment repair
Work EnvironmentFocuses on analysis, design, and improvement of systems for reliabilityHands-on maintenance, repair, and troubleshooting of equipment
Industry UsageCommon in manufacturing, energy, aerospace, and industrial sectorsPrevalent in manufacturing, facilities, and industrial plants

Reliability Engineers focus on designing and improving systems to prevent failures, using data analysis and modeling. Maintenance Engineers perform hands-on repairs and upkeep of equipment to ensure operational continuity. While both roles aim to optimize equipment performance, Reliability Engineers work proactively on system reliability, whereas Maintenance Engineers handle reactive and scheduled maintenance tasks.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or senior software engineering roles can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve leadership or executive responsibilities.

Will SRE be replaced by ai?

Reliability Engineers (SREs) focus on maintaining system availability and performance, and AI tools are increasingly used to automate monitoring, incident response, and data analysis. While AI can augment SRE tasks, it is unlikely to fully replace the need for human expertise in designing, managing, and improving complex systems. SREs will continue to adapt by integrating AI technologies into their workflows to enhance reliability efforts.

What Does a Reliability Engineer Do?

As a reliability engineer, your duties are to test and evaluate the manufacturing of products and components and ensure that the procedures are efficient and do not lead to abnormally high maintenance or operational costs. Your other responsibilities are to find solutions to product reliability risks. You may manage risk in a supply chain, develop loss prevention strategies, and track the entire lifecycle of product development, from building prototypes to moving a product into full-scale production. You analyze information from department heads and recommend strategies to reduce risk and ensure that the product works reliably.

What are Reliability Engineers?

Reliability Engineers are professionals responsible for ensuring that systems, equipment, or processes function consistently and efficiently over time. They analyze data, identify potential points of failure, and develop maintenance strategies to improve system reliability and minimize downtime. Their work spans various industries, including manufacturing, energy, and technology, and often involves collaborating with design, operations, and maintenance teams. By implementing reliability-centered maintenance and predictive analysis, they help organizations save costs and increase safety.

What is the role of a reliability engineer?

A reliability engineer is responsible for ensuring that systems, equipment, or products perform consistently and dependably over time. They analyze failure data, develop maintenance strategies, and implement improvements to enhance reliability, often using tools like FMEA and root cause analysis. This role typically requires strong problem-solving skills and knowledge of engineering principles.
More about Reliability Engineer jobs
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Reliability Engineer jobs near you
Infographic showing various Reliability Engineer job openings in Delaware as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,074 per year, or $56.8 per hour.
Software Engineer III-Databricks

Software Engineer III-Databricks

JPMorgan Chase & Co

Wilmington, DE

$55.75 - $75/hr

Full-time

Medical, Retirement

Posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

 
As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 

Job responsibilities

  • Provides technical leadership across design, development, and troubleshooting for complex, multi-domain solutions; establish engineering standards and best practices for the team 
  • Writes secure, high-quality code in Python and/or Java; conducts reviews and mentors engineers to raise code quality and maintainability
  • Builds data pipelines using Databricks ETL
  • Builds and productionizes cloud-based ML pipelines; drive model deployment and operationalization in collaboration with Data Science and SRE/Platform teams 
  • Owns MLOps workflows; coordinates infrastructure and production changes with SRE; ensures resiliency, observability, and security across the ML lifecycle 
  • Applies SDLC tooling and automation to improve delivery velocity and reliability; champion CI/CD and cloud-native best practices 
  • Partners with Product Owners and business stakeholders to translate requirements into scalable solutions aligned to CCB Finance objectives 
  • Fosters a team culture of diversity, opportunity, inclusion, and respect; model proactive learning in AI/ML and emerging technologies 
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience 
  • Hands-on experience in software engineering, system design, application development, testing, and operational stability 
  • Proficiency in Python; strong grounding in secure data practices
  • Hands-on Databricks experience across Delta Lake, Unity Catalog, Workflows, Repos/notebooks, and SQL Warehouses, including cluster configuration and optimization
  • Cloud engineering experience building ML pipelines and deploying models to production with AWS services such as ECS, EMR, Lambda, EC2, SageMaker
  • Experience with PySpark, Kafka, Terraform, and Kubernetes for data processing, streaming, IaC, and container orchestration 
  • Database experience with Oracle and/or Cassandra
  • Familiarity with CI/CD, application resiliency, security best practices, Agile/Scrum methodologies, and SDLC automation tools 
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications, capabilities, and skills

  • Background with machine learning frameworks, MLOps practices, and end-to-end ML lifecycle management (feature pipelines, model registry, monitoring, drift detection) 
  • Experience with the Python ML ecosystem (pandas, NumPy) and platforms such as Databricks for data engineering and model development at scale 
  • Experience with ERWIN for data modeling
  • Familiarity with TensorFlow
  • Familiarity with data modeling and query optimization
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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