UNKNOWN

FEED

Has proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude, or similar) as an integrated part of daily coding workflows — not as a novelty, but as a natural extension of how work gets done. $140,935.00 - $226,905.00 The pay listed in this posting indicates the estimated pay at the time of this posting; however, may vary depending on geographic location, job-related knowledge, skills, and experience.

YEAR

Orion

Senior Staff Software Engineer

ea_via_bold

Identify and root cause systemic issues across the cloud server fleet and drive resolutions to maximize uptime and utilization by leveraging hardware failure data and diagnostic telemetry Write, review, and maintain code for diagnostic and cloud automation tooling that supports quality and efficient delivery of production servers at hyperscale Own and develop diagnostic tooling requirements that enable frontline operations teams to efficiently manage and repair the cloud server fleet Drive the escalation process for Data Center Operations to identify, root cause, and resolve complex cloud tooling and hardware issues affecting fleet health Execute operational validation and verification activities for new cloud product integration into the production environment Collaborate with cross-functional cloud tooling teams to provide an operations-centric perspective on open issues and contribute to their development roadmaps Perform deep data analysis to prioritize cloud automation opportunities for server repair workflows in a large-scale, heterogeneous hardware environment Build cross-functional relationships and influence policies and procedures to improve global cloud data center operations consistency and efficiency Mentor other engineers on evaluating and resolving cloud fleet issues and defining improvements to tools and operational processes Travel up to 25% to support global cloud data center operations and new site deploymentsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of experience in production systems engineering, infrastructure engineering, or system software development for large-scale cloud environments 7+ years of experience with hardware lifecycle management, fleet automation, or cloud data center operations systems spanning compute, storage, or networking infrastructure Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale Experience with the configuration and maintenance of production systems, including web servers, load balancers, relational databases, storage systems, and messaging systems Experience communicating technical designs and cloud infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams Experience designing or operating cloud configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making Experience supporting global, multi-site data center infrastructure deployments, including hardware qualification and regional rollout coordination Familiarity with distributed systems monitoring, alerting, and automated remediation pipelines at hyperscaleMeta builds technologies that help people connect, find communities, and grow businesses. The ideal candidate performs deep data analysis to prioritize server repair automation in a hyperscale cloud environment, drives solutions through code, and collaborates effectively with globally distributed teams through clear written communication.

Meta Platforms Inc

Cloud Production Systems Engineer

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Identify and root cause systemic issues across the server fleet and drive resolutions to maximize uptime and utilization by leveraging hardware failure data and diagnostic telemetry Write, review, and maintain code for diagnostic and automation tooling that supports quality and efficient delivery of production servers at hyperscale Own and develop diagnostic tooling requirements that enable frontline operations teams to efficiently manage and repair the server fleet Drive the escalation process for Data Center Operations to identify, root cause, and resolve complex tooling and hardware issues affecting fleet health Execute operational validation and verification activities for new product integration into the production environment Collaborate with cross-functional tooling teams to provide an operations-centric perspective on open issues and contribute to their development roadmaps Perform deep data analysis to prioritize automation opportunities for server repair workflows in a large-scale, heterogeneous hardware environment Build cross-functional relationships and influence policies and procedures to improve global data center operations consistency and efficiency Mentor other engineers on evaluating and resolving fleet issues and defining improvements to tools and operational processes Travel up to 25% to support global data center operations and new site deploymentsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of experience in production systems engineering, infrastructure engineering, or systems software development for large-scale hardware environments 6+ years of experience with hardware lifecycle management, fleet automation, or data center operations systems spanning compute, storage, or networking infrastructure Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale Experience with configuration and maintenance of production systems including web servers, load balancers, relational databases, storage systems, and messaging systems Experience communicating technical designs and infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making Experience designing or operating configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets Experience supporting global, multi-site data center infrastructure deployments including hardware qualification and regional rollout coordination Familiarity with distributed systems monitoring, alerting, and automated remediation pipelines at hyperscaleMeta builds technologies that help people connect, find communities, and grow businesses. The ideal candidate performs deep data analysis to prioritize server repair automation in a hyperscale environment, drives solutions through code, and collaborates effectively with globally distributed teams through clear written communication.

Global Production Systems Engineer

Albany, NY; Albuquerque, NM; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC. Deep expertise in cloud engineering, including Azure AI services, Kubernetes (AKS), API development, DevOps practices, CI/CD pipelines, Infrastructure-as-Code, and Terraform; proficiency in automation, scripting, and testing using Python, PowerShell, Bash, YAML, and related development and operational tools.

KPMG International Cooperative

Associate Director, AI Application Engineer

Actively solicit feedback from teams, and use that feedback to improve operational effectiveness as infrastructure scales Provide serviceability feedback on production hardware resulting in more efficient repair activities Move to MINIMUM_QUALIFICATION sectionBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience BS or BA in electrical, mechanical, or computer engineering, or equivalent hardware-engineering-related experience 10+ years of experience with server hardware systems in an internet operations environment, or on a development team in design or test validation Experience triaging and debugging hardware platforms Familiarity or experience in NPI server platform development Familiarity with Linux or Unix Operating systems Experience training and mentoring technicians and/or engineers Demonstrated technical skills and experience creating documentation for users of all levels Communication experience and interpersonal skills, with the experience communicating and partnering effectively within all levels of the organization Experience with building relationships with customers and vendors Expert at leveraging large volumes of data to improve decision making processes in the hardware functional domain (understanding the metrics and statistics) Experience in data center system and process automation Experience in large scale data center hardware deployments and building scaling infrastructure BS or BA in electrical, mechanical, or computer engineering Experience supporting server hardware in a public cloud, hosted, or colocation environment, including working through a cloud provider's repair and escalation process Experience diagnosing hardware issues with limited physical access and partial telemetry Experience engaging technically with hardware vendors or service providers, including evidence based escalation and service level discussions Bash, PHP, Python, or Perl scripting experience Experience in integration testing and operation of compute, storage, and accelerator (GPU) platforms, bringing operational perspective to each stage of H/W development life cycle through end of life in productionMeta builds technologies that help people connect, find communities, and grow businesses. Serve as subject matter expert for compute, storage, and accelerator (GPU) platforms in Meta's production data centers and on capacity Meta consumes from cloud providers, anticipating and diagnosing issues for the operations teams, and escalating as appropriate to hardware design and NPI teams Act as the deep escalation point for cloud hardware issues, taking handoffs from the cloud triage teams and driving hardware and software investigation through to resolution Identify systemic hardware issues within a single cloud provider and across cloud providers, separating cloud provider specific behavior from platform behavior already characterized in Meta's own fleet Represent Meta's reliability, diagnosability, and serviceability expectations to cloud providers, compiling the technical evidence those conversations depend on Carry findings from the cloud environment back into Meta's own platform work, and apply what is already known about Meta's platforms to accelerate diagnosis in the cloud Provide end to end lifecycle support (operational test through end of life decommissioning) of hardware platforms and new technologies in the data centers Drive complex technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling Analyze health of the global fleet of servers to proactively identify systemic issues, and take appropriate action to quickly mitigate impact Work closely with HW Engineering, Release to Production, and Systems Integration teams to take new server and storage platforms into mass production in the data centers Identify risks early in new hardware programs and contribute the test methods needed to characterize the product and assure end customer needs are met Act as product owner for specific server and/or storage platforms.

Cloud Production Platform Engineer

Albany, NY; Albuquerque, NM; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; Shreveport, LA; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC. Qualifications: Minimum three years of recent experience of platform administration experience focusing on Azure Databricks which includes Unity catalog, Lakebase Postgres, Databricks Apps and Genie Agent; Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF).

Senior Engineer, ADL Platform Admin

Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC. Collaborate with developers, platform engineers, and security teams to improve reliability, performance, and observability.

HOUR

Diverse Lynx, LLC

Devops Engineer

The role will be responsible for the infrastructure and operations of the organizations data storage solutions, third-party integrations data provisioning services and overall ETL/ELT code-based solutions and tooling that process data. Akumin is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems nationwide to deliver advanced diagnostic imaging and exceptional patient care close to home.

Akumin Inc

Senior Data Engineer

You will provide technical leadership that goes beyond solution delivery, influencing architecture, mentoring engineers, and driving the adoption of advanced automation and AI capabilities across the organization. Architect secure integrations between large language models and enterprise data sources through APIs, connectors, Microsoft Graph, and governed knowledge repositories.

Conagra Brands Inc

Senior Automation Enablement Engineer

Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 5+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.

Agile Defense

Data Engineer

You'll own the end-to-end delivery of AI-powered features, from architecture to production - working alongside product managers, designers, and engineers to move fast and build things that matter. Experience designing and maintaining data pipelines and data architectures that support AI, analytics, and machine learning workloads.

Orion Advisor Solutions

FULL_TIME

Must be a U.S. citizen and possess an active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility, along with eligibility for Nuclear Command and Control – Extremely Sensitive Information (NC2‑ESI), North Atlantic Treaty Organization (NATO), and Special Access Required (SAR) programs on day one, and must maintain all required clearances and program eligibilities throughout employment. Responsibilities: The Senior Data Engineer / Integration Specialist serves as the senior technical analyst responsible for data engineering, data integration, and enterprise‑scale data solutions that enable Command, Control, and Communications (C3) and Nuclear Command, Control, and Communications (NC3) modernization and strategic deterrence missions.

Systems Planning and Analysis, Inc. (SPA) provides top-level decision makers with timely and objective assessments that integrate the technical, operational, programmatic, policy, and business aspects of national security issues. SPA is headquartered in Alexandria, with offices throughout Metro DC, and San Diego, CA. SPA has been recognized with awards including Government Contractor of the Year by the Greater Washington Government Contractor Awards, as a Best Places to Work by the Washington and San Diego Business Journals for several years, a Top Workplace by the Washington Post, and as one of DC's Healthiest Employers.

Systems Planning and Analysis

Senior Data Engineer (Offutt AFB)

[AW]-iCims

Senior AI Engineer

This role owns deployment pipelines, configuration management, and infrastructure-as-code, turning error-prone manual steps into tested, repeatable, and reversible processes across DMSi's AWS and Progress OpenEdge environments. The Operations Automation Engineer builds and maintains the automation that lets DMSi Cloud Engineering deploy, configure, and recover systems without manual, repetitive work standing in the way.

Distribution Management Systems Inc

Operations Automation Engineer

With some guidance, implement tools and automation to provide self-service capabilities to the organization for building, configuring, maintaining, and monitoring cloud-based infrastructure and cloud platform services (Infrastructure as Code and Configuration as Code). Collaborate with peer organizations, product delivery teams, and support organizations to provide guidance on technical matters in a clear, concise, and easily understood manner.

First National Bank of Omaha

Cloud Engineer (OMAHA- onsite)

This role designs scalable data pipelines, optimizes data flow, and ensures high-quality, accessible data for the AI models and analytics systems our investigative platforms depend on. Partner with AI Engineers, Data Scientists, and software engineering teams to prepare datasets, support model development, and align data architecture with platform requirements.

Pen-Link, Ltd.

Now, we’re expanding a critical new line of business for a customer, and we need someone to lead the charge on building secure, automated, and high-performance pipelines that developers want to use. You won’t just be “helping secure things”, you’ll be designing and owning the infrastructure, processes, and mindset that bring DevSecOps to life in a real, operational environment.

Aviture

DevSecOps Engineer

Workable

Reporting to the Director of Information Technology, you will embed with cross-functional business teams across supply chain, trade, manufacturing, and finance to deliver data solutions within Palantir Foundry. Build and support Workshop applications, artificial intelligence powered workflows, and operational data products that enable business users to make informed decisions.

Conagra Brands, Inc.

Forward Deployed Engineer, Palantir

Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.

CACI International Inc.

Devsecops Engineer

PART_TIME

The ideal candidate is someone who can comfortably move between writing complex SQL, developing compelling Tableau dashboards, working with data warehouses, partnering with business leaders, and managing the roadmap for business intelligence products . You will have the opportunity to work with teams throughout the organization, influence how business intelligence solutions are delivered, and help establish trusted, accessible data products that employees can use to better serve our members.

Pipeline Engineer Jobs in Nebraska

Senior Staff Software Engineer Orion

Cloud Production Systems Engineer Meta Platforms Inc

Global Production Systems Engineer Meta Platforms Inc

Associate Director, AI Application Engineer KPMG International Cooperative

Cloud Production Platform Engineer Meta Platforms Inc

Senior Engineer, ADL Platform Admin KPMG International Cooperative

Devops Engineer Diverse Lynx, LLC

Senior Data Engineer Akumin Inc

Senior Automation Enablement Engineer Conagra Brands Inc

Data Engineer Agile Defense

Senior Staff Software Engineer Orion Advisor Solutions

Senior Data Engineer (Offutt AFB) Systems Planning and Analysis

Senior AI Engineer Orion Advisor Solutions

Operations Automation Engineer Distribution Management Systems Inc

Cloud Engineer (OMAHA- onsite) First National Bank of Omaha

Data Engineer Pen-Link, Ltd.

DevSecOps Engineer Aviture

Forward Deployed Engineer, Palantir Conagra Brands, Inc.

Devsecops Engineer CACI International Inc.

Analytics Engineer Centris Federal Credit Union

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