STEM OPT Devops Lead Jobs
DevOps Lead roles sit squarely within STEM-designated CIP codes, making them eligible for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify and sign a Form I-983 training plan before your extension begins. A STEM degree in computer science, information systems, or a related field is required to qualify.
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Duties:
- Design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
- Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
- Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
- Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
- Optimize prompt engineering pipelines for external entity extraction, improving accuracy and reducing manual validation efforts.
- Develop LLM-enhanced retrieval-augmented generation systems, integrating structured data such as tables and images into financial document processing workflows.
- Lead model evaluation and enhancement efforts by applying both supervised and unsupervised techniques, ensuring high precision in financial data reconciliations and entity validation.
- Design and implement NLP-powered reconciliation frameworks to streamline financial break resolution processes.
- Deploy explainable AI techniques for LLM-based decision-making processes in financial applications, ensuring regulatory compliance and transparency.
- Implement scalable and generic ML frameworks leveraging search-based architectures to optimize reconciliation and regulatory processes.
- Develop and deploy enhanced OCR models to improve entity recognition and document parsing while preserving structural integrity.
Qualifications
Minimum education and experience required: Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Data Science, or related field of study plus 3 years of experience in the job offered or as Applied AI/ML Associate, Software Engineer, or related occupation.
Skills Required: This position requires experience with the following:
- Performing data manipulation, structuring, design flow, and query optimization using SQL and Python;
- Processing large data sets with PySpark and SQL to perform Exploratory Data Analysis for model improvements, feature engineering, and the analyses;
- Explaining performance of models based on statistical characteristics;
- Running the procedures for the P-value approach to hypothesis testing;
- Estimating the distribution of sample statistics using sampling techniques such as bootstrapping;
- Developing and applying advanced machine learning techniques including ARIMA, SARIMA, Regression techniques, Classification methods, Ensemble Methods, Clustering, Dimensionality Reduction, and NLP, including TF-IDF, embeddings, and fuzzy matching, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Naive Bayes, K-Nearest Neighbors, and Neural Network, and comparing results to select the best model;
- Evaluating and interpreting models using tools such as Shapley Analysis;
- Programming in Python and SQL utilizing frameworks and libraries including Scikit-Learn, and PyTorch or TensorFlow;
- Developing pipelines for data manipulation and feature engineering using big data technologies including Apache Spark and tools including Jupyter Lab and Tableau;
- Shell and Bash scripting, for operating systems including Windows and Linux, and version control systems such as GitHub or Bitbucket;
- Designing and developing neural network models such as RNN, LSTM, or CNN using frameworks such as Keras, Tensorflow, or Pytorch.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time.
Salary: $185,900 - $260,000 per year.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Job Description
Duties:
- Design, deploy, and manage prompt-based models on LLMs for various NLP tasks in the financial services domain.
- Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
- Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
- Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
- Optimize prompt engineering pipelines for external entity extraction, improving accuracy and reducing manual validation efforts.
- Develop LLM-enhanced retrieval-augmented generation systems, integrating structured data such as tables and images into financial document processing workflows.
- Lead model evaluation and enhancement efforts by applying both supervised and unsupervised techniques, ensuring high precision in financial data reconciliations and entity validation.
- Design and implement NLP-powered reconciliation frameworks to streamline financial break resolution processes.
- Deploy explainable AI techniques for LLM-based decision-making processes in financial applications, ensuring regulatory compliance and transparency.
- Implement scalable and generic ML frameworks leveraging search-based architectures to optimize reconciliation and regulatory processes.
- Develop and deploy enhanced OCR models to improve entity recognition and document parsing while preserving structural integrity.
Qualifications
Minimum education and experience required: Master's degree in Computer Engineering, Electrical Engineering, Computer Science, Data Science, or related field of study plus 3 years of experience in the job offered or as Applied AI/ML Associate, Software Engineer, or related occupation.
Skills Required: This position requires experience with the following:
- Performing data manipulation, structuring, design flow, and query optimization using SQL and Python;
- Processing large data sets with PySpark and SQL to perform Exploratory Data Analysis for model improvements, feature engineering, and the analyses;
- Explaining performance of models based on statistical characteristics;
- Running the procedures for the P-value approach to hypothesis testing;
- Estimating the distribution of sample statistics using sampling techniques such as bootstrapping;
- Developing and applying advanced machine learning techniques including ARIMA, SARIMA, Regression techniques, Classification methods, Ensemble Methods, Clustering, Dimensionality Reduction, and NLP, including TF-IDF, embeddings, and fuzzy matching, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Naive Bayes, K-Nearest Neighbors, and Neural Network, and comparing results to select the best model;
- Evaluating and interpreting models using tools such as Shapley Analysis;
- Programming in Python and SQL utilizing frameworks and libraries including Scikit-Learn, and PyTorch or TensorFlow;
- Developing pipelines for data manipulation and feature engineering using big data technologies including Apache Spark and tools including Jupyter Lab and Tableau;
- Shell and Bash scripting, for operating systems including Windows and Linux, and version control systems such as GitHub or Bitbucket;
- Designing and developing neural network models such as RNN, LSTM, or CNN using frameworks such as Keras, Tensorflow, or Pytorch.
Job Location: 3223 Hanover St, Palo Alto, CA 94304.
Full-Time.
Salary: $185,900 - $260,000 per year.
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See all 41+ STEM OPT Devops Lead Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in Devops Lead
Verify your degree CIP code matches
Cross-check your degree's Classification of Instructional Programs code against the official STEM OPT designated degree list before applying. Computer science, information systems, and software engineering codes all qualify, but a general business or IT management degree may not.
Confirm E-Verify enrollment before accepting offers
Ask your recruiter for the E-Verify company ID number or look up the employer directly through E-Verify's employer search. A company that isn't enrolled cannot legally hire you on STEM OPT, so confirm this before investing time in late-stage interviews.
Frame your infrastructure leadership experience precisely
DevOps Lead postings often require documented team leadership alongside technical skills. On your resume, quantify the number of engineers you led and the CI/CD pipelines or cloud migrations you owned, since USCIS reviews the I-983 training plan against your actual responsibilities.
Use Migrate Mate to target employers with STEM OPT track records
Search DevOps Lead openings on Migrate Mate, which filters for employers with verified E-Verify enrollment and OPT hiring history. This cuts the research time of manually vetting employers who can actually extend your authorization.
Negotiate your I-983 training plan before your start date
Push for a signed Form I-983 that maps your DevOps Lead duties to specific learning objectives before your first day. Your DSO can't recommend the STEM OPT extension to USCIS without a completed plan, and a vague job description creates processing delays.
File your STEM OPT extension at least 90 days early
USCIS allows you to apply up to 90 days before your initial OPT expires. Filing early gives your DSO time to issue the updated I-20 and protects your cap-gap eligibility if an H-1B visa is filed on your behalf during your extension period.
Frequently Asked Questions
Does a DevOps Lead role qualify for the STEM OPT extension?
Yes, provided your underlying degree carries a qualifying STEM CIP code and the job duties align with that field. DevOps Lead positions typically fall under software engineering, computer science, or information systems degree categories. Your DSO will verify the CIP code match when issuing the updated I-20 for your extension. You can confirm your degree's CIP code using the DHS STEM OPT designated degree program list.
Does my employer need to be enrolled in E-Verify to hire me as a DevOps Lead on STEM OPT?
Yes, E-Verify enrollment is a strict legal requirement for STEM OPT employment, not just a preference. The employer must be actively enrolled before your extension start date. You can confirm enrollment by asking your HR contact for the E-Verify company ID or checking directly through E-Verify's employer search tool. Working for a non-enrolled employer voids your STEM OPT authorization entirely.
What should my Form I-983 training plan include for a DevOps Lead position?
The I-983 must detail the specific skills you'll develop, how your DevOps Lead duties connect to your STEM degree, and how the employer will supervise and evaluate your progress. For this role, that means documenting CI/CD pipeline management, cloud infrastructure oversight, and team leadership responsibilities. Your DSO reviews the plan before recommending the extension to USCIS, so vague descriptions will cause delays.
How does cap-gap protection work if I'm on STEM OPT and my employer files an H-1B petition?
If your employer files a timely H-1B petition before your STEM OPT expires, cap-gap protection extends your work authorization automatically through September 30 of the relevant fiscal year. You can continue working as a DevOps Lead without interruption during this period. USCIS provides guidance on cap-gap eligibility, and your DSO should update your I-20 to reflect the extended status.
Where can I find DevOps Lead jobs with employers that are already set up to hire STEM OPT students?
Migrate Mate lists DevOps Lead roles filtered for employers with E-Verify enrollment and a history of hiring OPT and STEM OPT candidates. This removes the guesswork of researching each company individually. Targeting employers already familiar with the I-983 training plan requirement reduces offer-to-start delays and lowers the risk of authorization complications after you've accepted an offer.