Jobs in the United States

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Added 1 min ago
S
Senior SIEM Data Engineer
SSB&T
Quincy, MA
- $120,000 to $202,500 USD / year
…platforms. You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, complete, searchable, governed,…
Added 10 mins ago
Software Engineer II - Full Stack
CharterUP
Austin, TX
Production Experience: Familiarity with cloud platforms such as AWS, automated testing, and troubleshooting applications in production.
Added 11 mins ago
CF
Senior Data Engineer
CMG Financial
United States
- $130,000 to $165,000 USD / year
As a Senior Data Engineer you will be a hands-on builder on that platform. You will own pipelines and platform components end to end, from source to consumer, and treat access control, data…
Added 12 mins ago
Lead Software Engineer - Java
New Relic
Portland, OR · OR
We're hiring a Lead Software Engineer for our team within New Relic's Data Platform, responsible for managing ingest into NRDB - New Relic's purpose-built telemetry datastore that ingests,…
Added 13 mins ago
FG
Senior Software Engineer
Ford Global
Livonia, MI
- $147,077 to $174,536.04 USD / year
…related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation. 5 years of experience with each of the following skills is required: 1.…
Added 20 mins ago
Systems Architect 2 - Cloud Data Engineer (Databricks)
U.S. Bank National Association
Cincinnati, OH
Proven experience with Oracle-to-Databricks, legacy-to-cloud, or cloud data platform migrations.
Added 30 mins ago
Infrastructure Engineer (6842) (Up to $25k Sign-on)
MetroStar
Reston, VA
As a Infrastructure Engineer, you’ll play a critical role in designing, operating, and improving shared cloud and DevOps platform services used by multiple customer mission teams. This role…
Added 30 mins ago
DevOps Engineer (6842) (Up to $25k Sign-on)
MetroStar
Reston, VA
As a DevOps Engineer, you’ll play a critical role in designing, operating, and improving shared cloud and DevOps platform services used by multiple customer mission teams. This role…
Added 32 mins ago
Forward Deployed AI Engineer
Skanska USA
Durham, NC
2+ years of infrastructure experience with Azure or a similar cloud platform
Added 33 mins ago
Virtualization Platform Engineer
LLNL
Livermore, CA
We have an opening for a Virtualization Platform Engineer to design, implement, and manage the virtualization infrastructure that supports enterprise applications and services for the…
Added 35 mins ago
SS
Senior SIEM Data Engineer
State Street
Quincy, MA
- $120,000 to $202,500 USD / year
…platforms. You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, complete, searchable, governed,…
Added 41 mins ago
AI Engineer
STV Incorporated
NY · Boston Congress St, MA
This role is ideal for an early-career engineer who is passionate about emerging AI technologies, enjoys solving complex problems, and wants to gain real-world experience delivering…
Added 42 mins ago
A
Software Developer (Ignition/MES)
Actalent
Carrollton, TX
- $60 to $87 USD / hour
I'm currently hiring for a Software Engineer that has development experience in Ignition
Added 43 mins ago
Data Engineer 4, Real-time Data Platform
Capital One
Plano, TX
4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud)
Added 43 mins ago
Full-stack Software Engineer 5, Data Insights Platform (Global Payment Network)
Capital One
Plano, TX · McLean, VA
At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Added 43 mins ago
Configuration Engineer (Hybrid) - 30857
Huntington Ingalls Industries
San Antonio, TX
Experience in cloud based technologies. (AWS, Azure)
Added 44 mins ago
Databricks Engineer
CGI Technologies and Solutions, Inc.
Houston, TX
. Experience working on at least one major cloud platform (Azure, AWS, or GCP).
Added 51 mins ago
Senior Staff Platform Engineer
Veeam Software
Remote, United States
You’ll play a critical role in building and operating the foundation of our modern data protection platform, helping define the future of our cloud architecture, disaster recovery…
Added 53 mins ago
Staff Product Security Engineer
ServiceTitan, Inc.
Remote, United States
…delivers software. We are looking for a Staff Product Security Engineer to embed with one of our engineering portfolios and own its security outcomes end to end, across application security…
Added 58 mins ago
TI
Site Reliability Engineer
Trimble Inc.
Westminster, CO
- $91,100 to $125,200 USD / year
Site Reliability Engineer - Cloud Infrastructure (FedRAMP & AWS)
Added 1 hour ago
UG
Associate Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
1+ years of experience analyzing data using cloud-based tools (e.g., AWS Athena)
Added 1 hour ago
Staff DevOps Engineer
Witness AI
Mountain View, CA
High-impact individual contributor role at the intersection of cloud infrastructure, developer experience, AI-augmented tooling, and platform security. You will own architecture and…
Added 1 hour ago
Head of DevOps
Witness AI
Mountain View, CA
WitnessAI is the unified AI security and governance platform enterprises trust to govern and protect all AI activity. We provide complete, network-level visibility into every interaction…
Added 1 hour ago
O
Principal Platform Software Engineer
Oracle
Nashville, TN
- $104,500 to $234,600 USD / year
Oracle Cloud Infrastructure (OCI) is building a next-generation artifact management platform for internal libraries and build artifacts. This platform is a critical part of OCI’s build,…
Added 1 hour ago
T
Senior Software Engineer, Backend
Takt
Reston, VA
- $150,000 to $180,000 USD / year
We’re hiring a senior backend engineer to design and build the distributed systems at the core of the Takt platform. Warehouses produce large, fast-moving datasets from labor systems,…

Workday, Inc.

Software Development Engineer - Document Intelligence

CA, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team This is a very exciting opening in the AI Platform team in our Document Intelligence team. We believe if you do what you love, you’ll love what you do. There’s a lot to love at Workday. We are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong. Over 65% of the Fortune 500 are Workday customers.

The Document Intelligence team builds AI/ML-powered solutions to extract actionable insights from unstructured documents. We design scalable document processing pipelines that can ingest and interpret large volumes of data with minimal manual intervention. Our work includes advanced document parsing using NLP, computer vision, and large language models (LLMs), along with in-house model training for entity resolution. We integrate seamlessly with business workflows for areas like financials, spend management, and more. By continuously evolving our models to handle new document types and edge cases, we help automate and accelerate critical business processes across the organization. Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges. About the Role

As a Software Development Engineer for the Document Intelligence team, you will be a key contributor to the team, working closely with senior engineers and ML researchers to build and deploy robust, scalable AI platforms. You will play a vital role in turning innovative ML concepts into production-ready solutions, with a focus on agentic AI capabilities such as planning, reasoning, and action execution frameworks.

Your Primary Focus:

Implement AI Platforms: Develop and maintain sophisticated AI platform capabilities, focusing on patterns like tool calling, multi-agent architectures, and human-in-the-loop integrations. You will write clean, performant code that ensures these systems are resilient in production.
Build ML Infrastructure: Develop and deploy secure, RESTful web services using Python and Kubernetes. You will contribute to the development of multi-tenant runtime architectures that enable fast inference and scale to millions of users.
Collaborative Engineering: Participate in design reviews and code quality initiatives. You will apply software development best practices to ensure our codebase remains maintainable, testable, and efficient.

You Will Also:

Translate Requirements: Work with cross-functional teams to turn product requirements into functional technical designs.
Apply MLOps Standards: Utilize industry-standard practices, including automation, observability, and CI/CD, to deliver high-quality ML solutions.
Continuous Learning: Stay current with evolving AI/ML technologies and contribute to the team’s collective knowledge.

About You

Basic Qualification:

5+ years experience in software development engineering including designing, developing, and deploying software solutions.
2+ years of experience in Python, with a consistent track record of shipping production code and systems.
2+ of experience building scalable data pipelines and working with large-scale datasets.
2+ years of validated experience deploying production services to cloud platforms (e.g., AWS, Azure, GCP) and using containerization technologies (e.g., Docker, Kubernetes) for MLOps.
Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience.

Other Qualification:

Solid ability in Algorithmic Thinking to design and implement efficient solutions for agentic system development.
Expertise in the engineering, deployment, and MLOps of advanced machine learning solutions (e.g., generative models, LLMs, RAG, and AI agents), coupled with a strong understanding of scalable distributed systems, performance optimization, database technologies (e.g., PostgreSQL, Redis), and robust API development.
Validated algorithmic thinking and a track proven history designing, implementing, and analyzing efficient algorithms for complex problems.
Demonstrated ability to build flexible, reusable, and well-documented software components, with comprehensive experience in code testing strategies (unit, integration, end-to-end) in a continuous deployment environment. Strong sense of ownership and a proven ability to deliver high-quality, finished products efficiently.
Excellent communication and collaboration skills, emphasizing team collaboration, knowledge-sharing, and delivering customer impact.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $148,000 USD - $222,000 USD

Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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More about this job

Skills

Software development
Workday
ML
Natural language processing
Business processes
Python
Kubernetes
Product comprehension
CI/CD
AWS
Microsoft Azure
Google Cloud
Docker
Computer science
Machine learning
PostgreSQL
Redis
API development
Communication skills
Collaboration

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