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Smurfit Westrock

<div>CAREER OPPORTUNITY:
Drive technical initiatives across Operational Technology (OT) networks focused on reliability, cybersecurity, connectivity, and data acquisition. Lead and support projects that improve process visibility, reduce downtime, optimize performance, and enhance profitability. Provide hands-on technical support to operations and maintenance teams to help the mills achieve goals and objectives.
HOW YOU WILL IMPACT SMURFIT WESTROCK:<ul><li>
Troubleshooting &amp; Enablement: Diagnose OT network, firewall, and connectivity issues.</li><li>
Project Execution: Plan, design, and implement OT infrastructure projects including network segmentation, secure remote access, DMZ architecture, and data center buildouts (rack/stack, power, cooling, cabling, failover).</li><li>
Cybersecurity &amp; Compliance: Configure and maintain OT firewalls, VLANs, ACLs, IDS/IPS, and endpoint protections to safeguard mill assets; support vulnerability management, patching windows, and incident response.</li><li>
Data Acquisition &amp; Integration: Implement robust, secure data collection from PLCs/DCS/Historian using OPC UA/DA, Modbus, EtherNet/IP, Profibus/Profinet, MQTT, and other standard industrial protocols; maintain tag governance and asset models.</li><li>
IoT Enablement: Deploy and manage industrial IoT gateways/sensors, normalize telemetry, and ensure reliable data pipelines to on‑prem historians and cloud services.</li><li>
Platform &amp; Compute: Administer and optimize VMware and Hyper‑V environments; provision and maintain Windows/Linux VMs for OT applications, historians, and middleware.</li><li>
Cloud &amp; Data Services: Build secure data flows to AWS (e.g., IoT Core, Kinesis, S3, Lambda, Glue) for analytics and reporting; implement authentication, encryption, and network controls.</li><li>
Documentation &amp; Tracking: Administratively track trials, network changes, firewall rule sets, and data flows; maintain architecture diagrams, runbooks, and change logs.</li><li>
Operational Excellence: Perform daily checks on critical OT systems (latency, throughput, packet loss, historian backfill, certificate health) and act on leading indicators.</li><li>
Safety &amp; Housekeeping: Promote daily safety communications and maintain clean, well-labeled cabinets, panels, racks, and cable management aligned with mill standards.</li><li>
Customer Focus: Assist in resolving internal &ldquo;customer&rdquo; issues (operations, quality, maintenance) with corrective actions and proactive monitoring; maintain clear communication.</li><li>
Continuous Improvement: Organize and implement trials and changes to improve data quality, network resilience, and system uptime; quantify benefits (MTBF/MTTR, data completeness, cost avoidance).</li></ul>
WHAT YOU WILL NEED TO SUCCEED:<ul><li>
Education: Bachelor&rsquo;s degree in Electrical Engineering, Computer Engineering, Computer Science, Industrial Engineering&mdash;or equivalent technical discipline.</li><li>
Experience:<ul><li>
Minimum 5 years of experience in OT/industrial networking, systems engineering, or controls/automation, with relevant work experience or military service considered.</li><li>
Hands-on with L2/L3 networking (switching/routing), VLANs, trunking, STP, QoS, NAT, VPNs, and segmentation (ISA/IEC 62443 concepts a plus).</li><li>
Experience configuring and managing firewalls (e.g., Palo Alto, Fortinet, Cisco, Check Point) and implementing rule hygiene and logging.</li><li>
Practical cybersecurity skills in OT environments: least privilege, secure remote access, jump hosts, certificate management (PKI), asset inventory, and patch management.</li><li>
Demonstrated proficiency with OPC UA/DA, Modbus/TCP, EtherNet/IP, MQTT, and integrating PLC/DCS tags to historians/SCADA/analytics.</li><li>
Experience with VMware and/or Hyper‑V for virtualization; Windows Server and Linux administration.</li><li>
Familiarity with AWS services and secure data integration patterns for industrial telemetry.</li><li>
Data center fundamentals: rack design, structured cabling, labeling, redundancy, power, cooling, and monitoring.</li><li>
Strong understanding of Distributed Control Systems (DCS) and Programmable Logic Controllers (PLC) architecture, configuration, and communication protocols.</li><li>
Familiarity with design and implementation of industrial network topologies such as FTE, DLR, REP, and PRP.</li><li>
Experience troubleshooting control system connectivity issues and integrating data from PLC/DCS into historians and cloud platforms.</li><li>
Knowledge of vendor-specific platforms (e.g., ABB, Emerson, Honeywell, Rockwell/Allen-Bradley, Siemens) is a plus.</li></ul></li><li>
Nice to Have:<ul><li>
Pulp &amp; paper mill or heavy industrial background.</li><li>
Experience with PI/AVEVA (OSIsoft), Ignition, FactoryTalk, or similar platforms.</li><li>
Exposure to network monitoring tools (NetFlow, SNMP, syslog), and SIEM integration.</li><li>
Scripting/automation (PowerShell, Python) for configuration management and data workflows.</li><li>
Certifications: CCNA/CCNP, NSE, PCNSA, GICSP, CISSP, AWS Cloud Practitioner/Associate.</li></ul></li></ul>
WESTROCK VALUES<ul><li>
Integrity &ndash; We are honest, ethical and do the right thing.</li><li>
Respect &ndash; We treat one another with respect and earn the respect of others through our actions.</li><li>
Accountability &ndash; We are responsible for our work, to our team and for contributing to the success of our company.</li><li>
Excellence &ndash; We strive to perform at the highest levels &ndash; for ourselves and for our customers, investors and communities.</li></ul>
Keywords: OT network, OT cybersecurity, firewalls, VLAN, segmentation, ISA/IEC 62443, DMZ, secure remote access, OPC UA, OPC DA, Modbus, EtherNet/IP, MQTT, SCADA, historian, IoT gateways, AWS, Kinesis, S3, Lambda, VMware, Hyper‑V, Windows Server, Linux, data center buildout, routing, switching, QoS, VPN, IDS/IPS, packet capture, PI, Ignition, FactoryTalk, PLC, DCS, pulp &amp; paper, mill operations, reliability, uptime, performance optimization.
Equal Opportunity Statement: 
 Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by state or federal law.</div>

Principal OT Engineer

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location - Alpharetta GA (Day One Onsite - Hybrid)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Interview Process</h2>
</div><div><ul><li>1 Capgemini Interview &amp; 2 Client Interviews (2nd Client Interview would be FTF discussion)</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Migrate &amp; consolidate - Move projects from Bitbucket Server into product-aligned GitHub mono-repos across multiple teams and stacks (Node.js/TypeScript, Java, Python).</li>
<li>Own the monorepo workflow: Build and maintain unified tooling with Nx, Lerna, and pnpm workspaces - affected-graph builds, task caching, and project scaffolding.</li>
<li>Modernize builds: Standardize Java builds (Maven, with Gradle migration where it pays off) integrated with JFrog Artifactory and our Train deployment system.</li>
<li>Design CI/CD: Build GitHub Actions pipelines - reusable workflows, matrix builds, caching, and supply-chain controls (SBOM, dependency and secret scanning) - partnering with the squads that own shared CI/CD infrastructure.</li>
<li>Automate code hygiene: Drive Dependabot updates, scheduled/manual maintenance workflows, agentic triage-and-patch automation, and large-scale refactoring (OpenRewrite/Moderne), enforcing conventional-commit and automated-release standards.</li>
<li>Advance AI-assisted DevEx: Extend GitHub Copilot, custom agents, reusable prompts/instructions, and MCP tooling to automate migration, review, and repetitive engineering work; add linters, static analysis, and codegen.</li>
<li>Make systems observable: Implement logging, tracing, and alerting (OpenTelemetry, Prometheus, Grafana) for visibility and performance insight.</li>
<li>Share knowledge: Document and champion the team's tooling, processes, and practices with development partners.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Skills</h2>
</div><div><ul><li>Total 7+ years of Python &amp; Type script / Java Script development experience</li>
<li>Scripting: Strong skills in Python, Bash, Groovy, or JavaScript/TypeScript.</li>
<li>7+ years in DevOps, platform, or application engineering (JavaScript/TypeScript).</li>
<li>AI-assisted development: Mid-level or stronger hands-on use of AI coding tools and agentic workflows (GitHub Copilot, Copilot/Claude agents, prompt engineering, MCP) on real delivery work.</li>
<li>CI/CD &amp; automation: Proven experience designing and maintaining pipelines (GitHub Actions preferred).</li>
<li>Build &amp; package systems: Multi-language tooling (pnpm/npm, Maven/Gradle, uv/pip) and monorepo conventions (Nx, Lerna, pnpm workspaces, or equivalents).</li>
<li>Platform fundamentals: Linux, advanced Git (GitHub and Bitbucket), containers with Podma (rootless/daemonless) and Docker-compatible workflows, plus Kubernetes/orchestration.</li>
<li>Strong analytical and problem-solving ability, excellent written/verbal English, and a self-motivated team player who adapts quickly</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Life At Capgemini</h2>
</div><div>Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<ul><li>Flexible work</li>
<li>Healthcare including dental, vision, mental health, and well-being programs</li>
<li>Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li>
<li>Paid time off and paid holidays</li>
<li>Paid parental leave</li>
<li>Family building benefits like adoption assistance, surrogacy, and cryopreservation</li>
<li>Social well-being benefits like subsidized back-up child/elder care and tutoring</li>
<li>Mentoring, coaching and learning programs</li>
<li>Employee Resource Groups</li>
<li>Disaster Relief</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Disclaimer</h2>
</div><div>Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

</div></div><div><div><h2 class="jobSectionHeader">Salary Transparency</h2>
</div><div>The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
 
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
 
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
ctively to drive business outcomes.
</div></div></div>The base compensation range for this role in the posted location is:$80420 to $106050
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Python Developer

<div>
 
 
 
 
 Welcome to Warner Bros. Discovery&hellip; the stuff dreams are made of.
 
 
 
 
 
 
 
 
 
 Who We Are&hellip;
 
 
 
 
 
 When we say, &ldquo;the stuff dreams are made of,&rdquo; we&rsquo;re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD&rsquo;s vast portfolio of iconic content and beloved brands, are the
 
 storytellers
 
 bringing our characters to life, the
 
 creators
 
 bringing them to your living rooms and the
 
 dreamers
 
 creating what&rsquo;s next&hellip;
 
 
 
 
 
 
 From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
 
 
 
 
 
 We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
 
 
 
 
 
 To see what it&rsquo;s like to work at&nbsp;CNN, follow @WBDLife on&nbsp;
 
 Instagram
 
 &nbsp;and&nbsp;
 
 X
 
 !
 
 
 
 
 
 
 We are CNN. THE WORLD'S MOST ESSENTIAL AND ENGAGING SOURCE OF DIGITAL NEWS.
 
 
 We are in the midst of rapid transformation and need our next generation of innovators, makers, and dreamers who will lead and drive our growth. We aim to make the world a better, more connected place.
 
 
 
 
 About CNN Digital
 
 &nbsp;
 
 
 CNN Digital is a global leader in news and information, reaching millions of users daily across web, mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism, technology, and user experience, building systems that help people discover and engage with the news that matters to them.&nbsp;
 
 
 
 Your New Role&hellip;
 
 
 
 CNN is seeking a
 
 Machine Learning Engineer I
 
 to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital platforms. You will work on&nbsp;production&nbsp;ML systems with measurable product impact, collaborating with cross-functional teams of engineers, data scientists, product managers, and editorial staff.&nbsp;
 
 
 
 Your Role Accountabilities&hellip;
 
 
 <ul>
 <li>
 
 Build and deploy full-lifecycle machine learning systems in Python for CNN digital products, including personalization, search, recommendations, and content understanding
 
 </li>
 <li>
 
 Develop and maintain production ML pipelines, including feature engineering, model training, evaluation, and serving infrastructure
 
 </li>
 <li>
 
 Implement rigorous experimentation and A/B testing frameworks to validate model performance and product impact
 
 </li>
 <li>
 
 Optimize ML systems for real-time, web-scale performance serving millions of users
 
 </li>
 <li>
 
 Partner with platform and infrastructure teams to ensure ML systems meet reliability, scalability, and performance standards
 
 </li>
 <li>
 
 Contribute to code reviews, documentation, and team knowledge sharing
 
 </li>
 </ul>
 
 
 Qualifications &amp; Experience&hellip;
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field
 
 </li>
 <li>
 
 1+ years of professional experience building and deploying machine learning systems in production environments
 
 </li>
 <li>
 
 Strong Python programming skills and experience with machine learning frameworks (e.g., scikit-learn or similar)
 
 </li>
 <li>
 
 Experience across the full ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment
 
 </li>
 <li>
 
 Solid understanding of software engineering best practices, including version control, testing, and CI/CD
 
 </li>
 <li>
 
 Ability to collaborate effectively with cross-functional partners
 
 </li>
 <li>
 
 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders
 
 </li>
 </ul>
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 
 Experience working on large-scale consumer internet products (e.g., social, streaming, e-commerce, media)
 
 </li>
 <li>
 
 Hands-on experience with recommendation systems, search, NLP, or information retrieval
 
 </li>
 <li>
 
 Familiarity with data pipelines, feature stores, or embedding infrastructure
 
 </li>
 <li>
 
 Experience with experimentation platforms, A/B testing, and experimentation analysis
 
 </li>
 <li>
 
 Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes)
 
 </li>
 <li>
 
 Interest in generative AI applications and/or the media and news industry
 
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 
 
 Languages:
 
 Python (required), SQL
 
 </li>
 <li>
 
 
 ML Frameworks:
 
 scikit-learn or similar
 
 </li>
 <li>
 
 
 Tools:
 
 Git, MLflow or similar MLOps tools
 
 </li>
 <li>
 
 
 Data:
 
 Experience working with large datasets, distributed processing, and feature engineering
 
 </li>
 <li>
 
 
 Deployment:
 
 REST APIs, model serving, monitoring, and observability
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 How We Get Things Done&hellip;
 
 
 
 
 
 
 
 This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 www.wbd.com/guiding-principles/
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
 
 
 
 
 
 
 
 Championing Inclusion at WBD
 
 
 
 Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
 
 
 
 
 
 
 If you&rsquo;re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
 
 accessibility page
 
 for instructions to submit your request.
 
 
 
 
 
 
 In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery&rsquo;s total compensation package for employees. Pay Range: $99,400.00 - $184,600.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
 
 
 
 
 
 
 
 
</div>

Machine Learning Engineer I

robo

Pay: $20.00 - $23.00 per hourPosition OverviewThis is a travel position. Travel to customer site required. The Field Service Engineer/Robotics Operations Coordinator ensures smooth day-to-day functioning of Robotics system in live customer operations. This role focuses on rectifying bot errors in the field, coordinating with remote team and customers, and ensuring accurate reporting of issues while maintaining operational continuity.Responsibilities:1. Field Error Rectification<ul><li>Respond to and rectify bot errors in real-time while the bot is running in the field.</li><li>Monitor, document, and resolve operational issues detected in the field and GM Tower system in coordination with the remote team.</li></ul>2. Escalation &amp; Coordination<ul><li>Escalate recurring or unresolved issues to the Maintenance team.</li><li>Move bots requiring hardware repair to the maintenance cage and update the database.</li><li>Raise JIRA/ServiceDesk tickets as and when required and track them down to closure.</li></ul>3. Floor Barcode Management<ul><li>Inspect floor barcodes during routine field rounds.</li><li>Replace damaged/missing barcodes and update them in tower wherever replaced.</li></ul>4. Customer &amp; System Support<ul><li>Act as the first point of contact for operational troubleshooting.</li><li>Support continuous improvement initiatives by providing field feedback to Maintenance and remote hardware support team.</li></ul>Skills &amp; Qualifications:<ul><li>Diploma / Certification in Mechanical, Electrical, or Industrial Engineering (or equivalent technical field).</li><li>Experience in field support, operations, or automation/robotics preferred.</li><li>Strong problem-solving and quick decision-making skills in live operations.</li><li>Familiarity with warehouse automation systems and barcode management is a plus.</li><li>Basic IT/system knowledge for database updates.</li><li>Excellent communication and customer-handling skills.</li><li>Ability to work in rotating shifts, including weekends and nights.</li><li>Good attitude &amp; willingness to learn and grow.</li></ul>Pay: $20.00 - $23.00 per hourWork Location: In person

Robotics Field Service Technician

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Independently manage complex project lifecycles across organizations and geographies, delivering on objectives and targets as project owner.
 </li>
 <li>
 Participate in engineering reviews, providing tangible impact on system solutions, architecture, and facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders, and vendors to set priorities, establish milestones, and drive schedules. Proactively identify dependencies, problem-solve, and mitigate risks.
 </li>
 <li>
 Lead execution of systems and automated equipment designs per established standards. Perform installation, throughput, and safety qualifications. Optimize systems and resolve technical deficiencies.
 </li>
 <li>
 Facilitate effective meetings with clear objectives and appropriate stakeholders. Document discussions, decisions, and action items to ensure alignment.
 </li>
 <li>
 Communicate project status, risk analysis, and mitigation plans promptly and accurately. Provide clear, concise summaries to leadership.
 </li>
 <li>
 Articulate system and equipment designs, including layouts, specifications, and capabilities to internal customers and partners.
 </li>
 <li>
 Manage change orders, purchase orders, and invoice approvals efficiently.
 </li>
 <li>
 Build strong relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that enhance team efficiency and deliver cost-effective solutions.
 </li>
 <li>
 Travel up to 80% domestically, with variable intensity including extended trips up to three weeks.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 </li>
 <li>
 1+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
 
 
 USA, AZ, PHOENIX - 60,700.00 - 85,000.00 USD annually
 
 
 USA, AZ, Phoenix - 60,700.00 - 85,000.00 USD annually
 
 
 USA, CA, Gilroy - 70,400.00 - 93,500.00 USD annually
 
 
 USA, CA, LOS ANGELES - 70,400.00 - 84,900.00 USD annually
 
 
 USA, CA, Los Angeles - 70,400.00 - 84,900.00 USD annually
 
 
 USA, CA, SAN FRANCISCO - 70,400.00 - 93,500.00 USD annually
 
 
 USA, CA, San Francisco - 70,400.00 - 93,500.00 USD annually
 
 
 USA, GA, ATLANTA - 60,700.00 - 85,000.00 USD annually
 
 
 USA, GA, Atlanta - 60,700.00 - 85,000.00 USD annually
 
 
 USA, GA, Atlanta - 70,400.00 - 84,900.00 USD annually
 
 
 USA, MA, BOSTON - 60,700.00 - 85,000.00 USD annually
 
 
 USA, MA, Boston - 60,700.00 - 85,000.00 USD annually
 
 
 USA, TN, NASHVILLE - 54,600.00 - 76,500.00 USD annually
 
 
 USA, TN, Nashville - 54,600.00 - 76,500.00 USD annually
 
 
 USA, TX, AUSTIN - 60,700.00 - 85,000.00 USD annually
 
 
 USA, TX, Austin - 60,700.00 - 85,000.00 USD annually
 
 
 USA, TX, HOUSTON - 60,700.00 - 85,000.00 USD annually
 
 
 USA, TX, Houston - 60,700.00 - 85,000.00 USD annually
 
 
 USA, VA, ARLINGTON - 60,700.00 - 85,000.00 USD annually
 
 
 USA, VA, Arlington - 60,700.00 - 85,000.00 USD annually
 
 
 USA, WA, SEATTLE - 80,200.00 - 85,000.00 USD annually
 
 
 USA, WA, Seattle - 80,200.00 - 85,000.00 USD annually
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A10385593
</div>

Operations Engineer, Operations Engineering

The Home Depot

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 40% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Drives strategic technical decisions and influences architecture to build highly scalable, performant, and resilient systems Designs and implements solutions incorporating AI/ML capabilities to improve automation, forecasting, and business outcomes Builds and enhances systems supporting retail pricing, promotions, and optimization, ensuring accuracy, scalability, and performance Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies, including AI/ML platforms and tools, for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 20% Support &amp; Enablement: Fields questions from business, engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team, especially for complex system and pricing-related issues 30% People: Provides leadership, mentoring, and coaching to Software Engineers Actively develops team capabilities in modern engineering practices, AI/ML adoption, and system design Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices and data-driven decision-making Guides team members in strategic thinking, alignment, analysis, and execution tasks within and across product teams Builds a culture of continuous learning, innovation, and engineering excellence focused on scalable systems Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Stays current with advancements in AI/ML, retail pricing technologies, and large-scale distributed systems Direct Manager/Direct Reports: Reports to the Software Engineer Sr. Manager Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience Mastery of a modern programming language (preferably java &amp; Python) Experience productionizing statistical models, AI/ML systems, and Generative AI solutions at enterprise scale Experience working with or integrating AI/ML models and data-driven systems Experience with retail pricing systems, promotions, or price optimization platforms Mastery of a modern web application framework such as Ruby on Rails, Spring MVC, and Node.js Mastery of writing SQL queries against a relational database and No SQL databases Experience championing AI agents to improve developer productivity, accelerate delivery, and enhance team effectiveness. Experience managing large-scale solution delivery in highly matrixed and cross-functional environments. Mastery of modern product development processes and pipelines Proficient in effective troubleshooting and issue resolution techniques Proficient in effective system monitoring and log analysis techniques Capable of understanding complicated systems quickly Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting Experience managing and growing team members in a professional setting Experience balancing workloads across teams Experience managing vendor relationships Experience with translating high level strategy to tactical execution Experience building and scaling distributed, high-availability systems Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: No additional years of experience Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business, retail pricing, and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations

Software Engineer Manager (Remote)

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 30% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support &amp; Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience <ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines <ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance <ul><li>Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes</li><li>Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases</li></ul>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores <ul><li>Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms</li><li>Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques</li><li>Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred</li><li>Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality</li><li>Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness</li><li>Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues</li><li>Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions</li><li>Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals</li><li>Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity</li><li>Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment</li><li>Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes</li><li>Experience managing vendor relationships, third-party platforms, or external technology partners when needed</li></ul>Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: 5 years of experience data and ML space Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Apply End Date: 06/23/2026

Software Engineer Manager, AI/ML Platforms

Explore 41+ Automation engineer in Atlanta this July. Find roles across top companies and apply now to boost your career.