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Qualifications: of the Senior Elastic Platform Engineer Include: 8+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, Systems Engineering, or related technical disciplines. Responsibilities: of the Senior Elastic Platform Engineer Include: Design, deploy, and maintain enterprise Elastic Stack environments, including Elasticsearch, Kibana, Logstash, Beats, and Elastic Agents.

Zp Group Llc

Senior Elastic Platform Engineer

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Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Job Responsibilities: Kubernetes platform operations and evolution: Cluster lifecycle management via Cluster API, fleet-wide upgrades, bare metal provisioning, CNI networking, storage, autoscaling, and disaster recovery planning.

YEAR

DV Trading LLC

Senior DevOps Engineer

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.

Meta Platforms Inc

Global Production Systems Engineer

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.

Cloud Production Systems Engineer

The Fortinet Security Fabric platform delivers broad, integrated, and automated protections across the entire digital attack surface, securing critical devices, data, applications, and connections from the data center to the cloud to the home office. SLED Market Mastery: Proven track record supporting State, Local, and Education (SLED) accounts, with a deep understanding of public sector procurement cycles, regulatory compliance, and government-specific RFP processes.

Fortinet Inc

Sales Engineer, SLED

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

Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. 9 years of experience working with customer-side web technologies (e.g., HTTP, HTML, JavaScript, XML, TypeScript) and database technologies (e.g., SQL, NoSQL).

Google LLC

Staff Customer and Partner Solutions Engineer, gTech

As the Compute Engineer at BAM, you will: Build fault tolerant, distributed systems that enable BAM's investment and research teams to work reliably and efficiently around the clock. The actual base pay is dependent upon several factors, including, but not limited to, relevant experience, business needs and market demands.

Balyasny Asset Management LP

Compute Engineer

This role is highly execution-focused and hands-on, owning the technical bring-up of Industrial PCs (IPCs), PLCs, industrial networks, and field devices during installation and commissioning phases. The Controls Integration Engineer is responsible for the on-site deployment, integration, and commissioning of automated material handling equipment such as sorters, conveyor systems, and Automated work cells.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Controls Integration Engineer, One MHS | Systems Integration and Flow

Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Contribute to internal AI-assisted tooling: use AI thoughtfully (verify outputs, protect secrets and customer data), and help improve safe, tool-based agents that use internal APIs and observability data.

HOUR

DevOps Engineer Intern - Summer 2027

Qualifications & Skills: 1-3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!). This flexible coverage model allows you to make a critical impact during peak trading hours while enjoying off days during quieter parts of the week.

DRW Trading Group

Trade Systems Engineer

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Ideally you will have a degree or equivalent related work experience in the following: Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, or related field. As a Engineer, Software for John Deere Research & Development Center located in East Moline, IL, you will: Develop Gen5 display software using C++ and Qt/QML in an embedded Linux environment.

John Deere

Engineer, Software

This person will help manage and support current and future database and storage environments and initiatives, and proactively evaluate physical and logical design and architecture of the systems to keep up with the dynamic and growing business needs of DRW. DRW is seeking a Senior Database Engineer with focus in PostgreSQL and Oracle who will be responsible for implementation, support and maintenance of mission critical database environments.

Senior Database Engineer - Postgres

2+ years of experience managing and troubleshooting Linux-based Demonstrated knowledge of network communications, including use of multicast networking Experience applying operational best practices in Dev and UAT settings. Competence in a broad range of technologies, spanning cloud platforms, containerization, monitoring/alerting systems, and distributed messaging platforms (e.g., AWS, Kubernetes, Docker, Splunk, Prometheus, Grafana, RabbitMQ).

Systems Support Engineer (Uat & Development)

We are seeking a Client Platforms Security Engineer to work with the members of the security team to ensure that our client platform infrastructure, virtual or physical, is properly protected. DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.

Client Platforms Security Engineer

The IAM team is responsible for the security, compliance, availability, and user experience of these services; you'll execute implementations, participate in and influence design decisions, and ensure integrations across on‑prem and cloud environments meet SLAs and control requirements. This dedicated group collaborates with stakeholders to advance agentic identity, enhanced authentication and authorization controls, and other emerging identity and security innovations, with potential expansion into customer identity and access management (CIAM).

Staff IAM Engineer

Proficient with containerization and Kubernetes in Linux environments, including Kubernetes architecture, workloads, networking, managed services, security configuration assessment, vulnerability remediation, and automated guardrails using infrastructure-as-code and policy-as-code. We are seeking a Cloud Security Engineer to work with various business units across the firm to empower our technologists to deliver secure cloud infrastructure and cloud integrated solutions.

Cloud Security Engineer

Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes: Gain a strong understanding of traders' risk management tools and provide support for related traders' needs. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job.

Trading Operations Engineer

Networking and Infrastructure Integration: And automate network configurations, security groups, VPNs, load balancers, and firewalls within cloud and hybrid environments to ensure secure, resilient connectivity. Build and Evolve CI/CD Pipelines: Develop and maintain automated Continuous Integration / Continuous Delivery (CI/CD) pipelines for rapid, secure, and error free deployments with no disruption in service to mission partners.

Netrist Solutions

Mid Level DevSecOps Engineer

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Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. The engineer works closely with infrastructure, application, security, vulnerability management, and change management teams to resolve patching issues, remediate vulnerabilities, improve compliance, and increase automation across the patching lifecycle.

Linux Engineer Jobs in Illinois

Senior Elastic Platform Engineer Zp Group Llc

Senior DevOps Engineer DV Trading LLC

Global Production Systems Engineer Meta Platforms Inc

Cloud Production Systems Engineer Meta Platforms Inc

Sales Engineer, SLED Fortinet Inc

Cloud Production Platform Engineer Meta Platforms Inc

Staff Customer and Partner Solutions Engineer, gTech Google LLC

Compute Engineer Balyasny Asset Management LP

Controls Integration Engineer, One MHS | Systems Integration and Flow Amazon.com Inc

DevOps Engineer Intern - Summer 2027 DV Trading LLC

Trade Systems Engineer DRW Trading Group

Engineer, Software John Deere

Senior Database Engineer - Postgres DRW Trading Group

Systems Support Engineer (Uat & Development) DRW Trading Group

Client Platforms Security Engineer DRW Trading Group

Staff IAM Engineer DRW Trading Group

Cloud Security Engineer DRW Trading Group

Trading Operations Engineer DRW Trading Group

Mid Level DevSecOps Engineer Netrist Solutions

Systems Engineer Humana Inc

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