There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - TX - Austin
Function: Technology
Title: Operations Engineer - 2026011
Onsite/Remote: Onsite Position
Your Responsibilities
As an Operations Engineer for John Deere in Austin, TX, you will:
Design and implement new features/code to improve the performance and capabilities of the software application;
Participate in discussions/decisions regarding future software engineering direction and evaluation, prioritization, and elimination of technical debt;
Support, evaluate, and continuously improve technology and business processes to maintain alignment with business plans;
Provide expertise to address complex and crucial technical problems concerning the software application's functioning;
Develop and maintain strategic relationships within and other departments and functional operations and interacts with business contacts;
Participate in on-call rotation.
Up to 20% domestic travel required to meet with the rest of the team for team meetings and other activities. Must live within normal commuting distance of the worksite. 75% remote work allowed.
What Skills You Need
2 years of experience in develop Python and TypeScript scripts to process manufacturing and financial datasets for cost analysis, forecasting and reporting. Integrate with AWS services to collect usage metrics, schedule and automate batch jobs, and generate operational notifications
2 years of experience in design and optimize data pipelines using PySpark and Databricks to process high-volume billing datasets. Implement delta lake schema design, create complex data transformation queries, perform partition optimization, and orchestrate pipelines, while implementing cloud cost dashboards and an automated stakeholder notification system to reduce infrastructure spend
2 years of experience in architecting secure and scalable CI/CD pipelines using both GitHub Actions and Terraform for all Infra as Code deployments. Implement version-controlled infrastructure and environment configuration management
2 years of experience in develop and maintain dashboards and advanced search queries in Elasticsearch and Datadog to support real-time monitoring of production applications and infrastructure. Configure log ingestion, build visualizations and alerts, and implement anomaly detection and synthetic monitoring to proactively identify system and performance issues
1 year of hands-on experience with Elasticsearch supporting and maintaining clusters, nodes and indexes. Experience with index creation, shard allocation, index life cycle management and performance tuning. Design index mappings and optimize queries to improve search performance, storage efficiency, and reliability of large-scale log and metrics data
1 year of experience in install, Configure and Manage Elasticsearch clusters and nodes. Monitor Elasticsearch performance and availability used Kibana or Grafana. Implement security policies for authentication and authorization. Troubleshoot and resolve issues related to cluster health and node health
2 years of experience in migrate legacy scripts and manual workflows to automated cloud-based processes. Develop integrations with internal and external APIs to retrieve and process operational and financial data for reporting pipelines
1 year of experience in configure and maintain cloud networking in AWS and Azure to create stable and scalable infrastructure, including but not limited to VPC, subnets, protocols and encryption. Experience in troubleshooting networking issues and connectivity
Education/Experience
Bachelor's degree in Engineering, Science or Technology or related field plus 2 years related experience.
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangements
Highly competitive base pay and performance bonuses
Savings & Retirement benefits (401K and Defined Contribution)
Healthcare benefits with a generous company contribution in the Health Savings Account
Adoption assistance
Employee Assistance Programs
Tuition assistance
Fitness subsidies and on-site gyms at specific Deere locations
Charitable contribution match
Employee Purchase Plan & numerous discount programs for personal use
$114,754 - $124,754 per year + Benefits
Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL
Please apply on-line at www.JohnDeere.com/USJobs and search for Job Posting Number 2026011
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
