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Remote Performance Pipe Jobs in Aurora, IL (NOW HIRING)

Location: Remote position. About the Role: In this opportunity as Manager, Sales you will ... Sales Performance:Total Revenue, Team Quota Achievement, Average Deal Size, Win Rate, Sales Cycle ...

Location: Remote position. About the Role: In this opportunity as Manager, Sales you will ... Sales Performance: Total Revenue, Team Quota Achievement, Average Deal Size, Win Rate, Sales Cycle ...

Remote Performance Pipe information

What are Remote Performance Pipe jobs?

Remote Performance Pipe jobs typically refer to roles in the oil and gas industry where professionals monitor, analyze, and optimize the performance of pipes and pipeline systems from remote locations. These jobs involve using data analytics, specialized software, and remote monitoring technologies to ensure efficient and safe operation of pipelines. Responsibilities may include detecting anomalies, preventing leaks, and recommending maintenance or upgrades. This remote setup allows companies to maintain pipeline integrity without requiring constant on-site presence, improving safety and reducing operational costs.

What are some common challenges faced by Remote Performance Pipe engineers and how can they overcome them?

Remote Performance Pipe engineers often face challenges such as troubleshooting issues without direct access to physical infrastructure, coordinating with on-site teams across time zones, and maintaining communication in a virtual environment. These challenges can be managed by leveraging advanced remote monitoring tools, establishing clear protocols for information sharing, and scheduling regular video conferences to align with field teams. Developing strong documentation and building relationships with on-site personnel also help ensure smooth collaboration and efficient problem-solving.

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

To thrive as a Remote Performance Pipe Engineer, you need a strong background in mechanical or petroleum engineering, with expertise in pipeline systems and remote monitoring technologies. Familiarity with SCADA systems, pipeline simulation software, and relevant industry certifications (such as API or ASME) is typically required. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and address issues proactively from a remote setting. These competencies are crucial for ensuring the safety, efficiency, and reliability of pipeline operations, especially when oversight is conducted remotely.

What is the difference between Remote Performance Pipe vs Remote Data Analyst?

AspectRemote Performance PipeRemote Data Analyst
Required CredentialsPerformance certifications, technical skillsStatistics, data analysis certifications
Work EnvironmentRemote, technical, project-basedRemote, analytical, reporting-focused
Industry UsageOil & gas, pipeline managementBusiness, finance, marketing
Common Search/ComparisonYesYes

Remote Performance Pipe roles focus on pipeline performance monitoring and technical maintenance within the oil and gas industry, requiring technical certifications. Remote Data Analysts analyze data to inform business decisions across various sectors. While both roles are remote and data-driven, they serve different industry needs and require distinct skill sets.

What are popular job titles related to Remote Performance Pipe jobs in Aurora, IL? For Remote Performance Pipe jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Remote Performance Pipe jobs in Aurora, IL look for? The top searched job categories for Remote Performance Pipe jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Remote Performance Pipe jobs? Cities near Aurora, IL with the most Remote Performance Pipe job openings:

Sr/Staff Site Reliability Engineer, Consumer Apps

Attain

Chicago, IL • On-site, Remote

$58.75 - $78/hr

Full-time

Re-posted 14 days ago


Job description

About Attain

Built for consumers and companies, alike

Klover’s engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.

As part of this team, you’ll help design, build, and scale the systems that underpin Klover’s core products and platform. You’ll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover’s products, access their money, and experience transparent, low-fee financial services.

Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You’ll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products—building systems and interfaces that emphasize reliability, privacy, and performance at scale.

Attain Office Hybrid Schedule (where applicable): 

  • Chicago, IL & New York, NY: 4 days in-office; 1 day remote
  • We are also potentially open to discussing a remote arrangement for the right candidate
About the Role

As a Senior/Staff Site Reliability Engineer, you will play a critical role in building out and maintaining the infrastructure that powers all of our systems, as well as all of the supporting tools to ensure that those systems are running smoothly. Automation is the core of this role. We expect you to hunt down manual toil wherever it hides and engineer it out of existence — and to do that with the best tooling available, including AI agents you direct to write, test, and ship infrastructure code.

We treat fluency with modern AI as a first-class SRE skill, along with cloud platform literacy, a strong dedication to observability, and a laser-focus on improving developer experience. You will work closely with nearly every engineering team at Attain, helping to ensure that our systems are operating at peak efficiency, and preparing us to handle the scale of our future growth.

What a typical week might look like
  • Use AI agents as a force multiplier for yourself and others
  • Create, improve, and maintain internal agentic tools and harnesses
  • Add automation to both existing and new systems until manual processes, and the toil that comes with them, simply go away
  • Write Terraform modules for deploying infrastructure resources via our GitLab pipelines
  • Develop Helm charts for deploying services and jobs in our Kubernetes cluster
  • Define metrics, network policies, and routing rules for our Istio service mesh
  • Monitor and maintain our GCP BigQuery, Spanner, and CloudSQL databases
  • Pipe metrics to our Google-managed Prometheus instance and build out Grafana dashboards and alerts to increase visibility on our systems
  • Experiment with GCP offerings, 3rd party vendors, AI tooling, and open-source projects to further automate and secure day-to-day operations
  • Pair with engineering leads to instrument and monitor critical functionality
  • Participate in architecture design and capacity planning discussions to ensure that our systems are scalable, maintainable, reliable, and secure
  • Build, maintain, and improve our CI/CD pipeline
You\'ll be a great fit for the role if
  • You reach for automation before you reach for a runbook, and a manual process is something you want to delete, not document
  • You treat AI agents as power tools and have real opinions about how to drive them — especially when to stop trusting them
  • You are comfortable wearing many hats
  • You have a willingness to learn and teach in a fast-paced, collaborative environment
  • You have a strong desire to automate things
  • You readily provide constructive feedback, and also proactively seek feedback to improve yourself
  • You like to get your hands dirty and tinker with/stress test new technologies
Preferred Qualifications
  • 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
  • Demonstrated fluency directing AI coding agents (e.g. Claude Code, Cursor, or similar) to build, operate, and debug real infrastructure; and robust and experienced judgment on verification of their work
  • A track record of replacing manual operations with durable automation
  • Experience working with the containerization technologies Docker, Kubernetes, and Istio or a similar service mesh technology
  • Experience with SQL database technologies such as MySQL, Google BigQuery, and Google Spanner
  • Experience with stream technologies such as Kafka and Amazon Kinesis
  • Experience with pub sub technologies such as AWS SNS and Google Pub/Sub
  • Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run
  • Experience with infrastructure-as-code tools such as Terraform
  • Experience with observability tools such as Datadog, Prometheus, and Grafana
  • Strong computer science and software engineering fundamentals
  • Experience with SOC2 and PCI Compliance processes and requirements

We are excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail on the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.