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Site 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 ...

Kemper

SVP, Chief Technology Officer (CTO)

Dover, DE · On-site +1

Site Reliability Engineering (SRE) * Enterprise observability and monitoring * Identity and shared platform services * FinOps and cloud optimization Build highly automated, resilient, secure, and ...

Dlapiper

Director, Engineering

Wilmington, DE

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

... and site reliability best practices with the ability to implement these practices within an ... engineering workflows with strong validation habits and awareness of data sensitivity. • Ability ...

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

As a Lead Engineer at JPMorgan Chase within the Enterprise technology, Corporate technology team ... and site reliability best practices with the ability to implement these practices within an ...

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All JobsSite Reliability Engineer JobsSite Reliability Engineer Jobs in Delaware

Site Reliability Engineer information

See Delaware salary details

$10

$63

$91

How much do site reliability engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for site reliability engineer in Delaware is $63.80, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $72.88 per hour, depending on experience, location, and employer.

Is a site reliability engineer a stressful job?

A site reliability engineer (SRE) role can be stressful due to the responsibility of maintaining system uptime, handling incidents, and ensuring reliability under tight deadlines. The job often involves on-call duties, troubleshooting complex issues, and working with automation tools, which can contribute to work-related stress but also offers opportunities for skill development and problem-solving.

What is a site reliability engineer?

A site reliability engineer specializes in site reliability engineering, or SRE, a specific branch of operations first pioneered by Google. You are responsible for ensuring that when a website decides to scale a particular feature for various users to access, it does not break the underlying software or website functions. This means you need to use analytical problem-solving skills to determine how to make specific features on a new software release work on top of existing source code.

What are the key skills and qualifications needed to thrive as a site reliability engineer?

To thrive as a Site Reliability Engineer, you need a strong background in computer science, systems administration, and software engineering, often supported by a degree in a technical field. Familiarity with cloud platforms (like AWS or GCP), container orchestration (such as Kubernetes), infrastructure as code (Terraform or Ansible), and monitoring tools (Prometheus, Grafana) is typically expected. Strong problem-solving skills, effective communication, and a proactive mindset help SREs excel at incident management and cross-functional collaboration. These skills are crucial for maintaining system reliability, minimizing downtime, and driving continuous improvement in complex technical environments.

What are some of the most common challenges site reliability engineers face when balancing system reliability with rapid software delivery?

Site Reliability Engineers (SREs) often navigate the challenge of maintaining highly reliable systems while supporting fast-paced software releases. This involves managing incidents, automating processes to reduce manual toil, and working closely with development teams to embed reliability into the software development lifecycle. SREs must carefully prioritize their efforts between proactive improvements and urgent, reactive fire-fighting. Effective communication and collaboration with both operations and development teams are crucial to ensuring service uptime without slowing down innovation.

What is the difference between Site Reliability Engineer vs DevOps Engineer?

AspectSite Reliability EngineerDevOps Engineer
CredentialsTypically requires a computer science degree, certifications like AWS, Google Cloud, or KubernetesSimilar credentials, often with cloud certifications and scripting skills
Work EnvironmentFocuses on maintaining and improving system reliability, often in large-scale production environmentsWorks on automation, CI/CD pipelines, and deployment processes across development and operations teams
Industry UsageCommon in tech, cloud services, and large-scale enterprise companiesWidely used in software development, cloud, and IT organizations

Both roles require strong technical skills and cloud knowledge, but SREs focus more on system reliability and uptime, while DevOps engineers emphasize automation and deployment processes. They often collaborate but have distinct primary responsibilities.

What is a site reliability engineer?

A Site Reliability Engineer (SRE) is a professional who applies software engineering principles to infrastructure and operations problems. Their primary goal is to create scalable and highly reliable software systems, often bridging the gap between development and IT operations. SREs automate tasks, monitor system health, respond to incidents, and work to improve system reliability and performance. They also help define service level objectives (SLOs) and ensure systems meet customer expectations for uptime and availability.
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Site Reliability Engineer jobs near you
Infographic showing various Site Reliability Engineer job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $132,697 per year, or $63.8 per hour.

Software Engineer III - Databricks

JP Morgan Chase

Wilmington, DE • On-site

$55.75 - $75/hr

Full-time

Medical, Retirement

Posted 28 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 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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