lead software engineer

ml engineer

python engineer - assistant vice president Jobs in Irving

pyspark engineer

Infosys

<div>In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
</li><li>Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
</li><li>Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
</li><li>Conduct code reviews, do changes to the codebase and maintain code repositories
</li><li>Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
</li><li>Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
</li><li>Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
</li><li>Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects</li></ul> 

Your contribution to the team: 
<ul><li>A collaborative spirit and excellent communication skills.
</li><li>The ability to handle end to end SDLC phases from requirement gathering to implementation.
</li><li>A knack for translating complex requirements into actionable development tasks.
</li><li>A passion for design and hands-on coding experience
</li><li>A proactive approach to testing, troubleshooting, and refining our applications.
</li><li>The ability to work with cross-functional teams and do software integration.</li></ul></div>

Pyspark Engineer

ASTRELUX IT INC

Job Description:We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.Responsibilities:<ul><li>AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.</li><li>Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.</li><li>Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.</li><li>Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.</li><li>Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.</li><li>Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).</li><li>Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.</li><li>Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.</li><li>Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.</li><li>Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.</li><li>Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul>Qualifications :<ul><li>AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).</li><li>AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:</li><li>Storage: S3 (for data lakes), EC2</li><li>Data Processing: EMR, Glue, Athena, Lambda</li><li>Networking: VPC, Subnets, Routing, Security Groups</li><li>Containerization: EKS</li><li>Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.</li><li>Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.</li><li>Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.</li><li>Programming Languages:</li><li>Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).</li><li>Shell Scripting: Proficient in shell scripting for automation and operational tasks.</li><li>Database &amp; SQL: Strong SQL skills for data querying and manipulation.</li><li>Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.</li></ul>Good to Have Skills<ul><li>Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.</li><li>CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.</li><li>Orchestration: Experience with workflow orchestration tools like Apache Airflow.</li><li>Version Control: Proficient in using Git for source code management.</li><li>Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.</li></ul>Certifications<ul><li>AWS Certified Solutions Architect &ndash; Associate/Professional</li><li>AWS Certified Data Analytics &ndash; Specialty</li><li>AWS Certified Developer &ndash; Associate</li></ul>Pay: $130,000.00 - $140,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: On the road

AWS Data Engineer

LTIMindtree

<div>Role description 
Job Role: GenAI Developer

Job Location: Irving, Texas

Job Description:

1. Engineering &amp; Production-Grade Development (40%)
<ul>
<li>Hands-on Coding: Lead the development of production-ready systems with expert-level proficiency in Python or PySpark.</li>
<li>Solution Engineering: Apply advanced data structures, algorithms, and software design patterns to solve real-world financial services challenges.</li>
<li>Scalability &amp; Performance: Architect high-scale solutions with a big-picture approach, ensuring system latency and infrastructure costs are optimized to drive tangible business value.</li>
<li>Lifecycle Management: Own the transition from MVP to live solutions, managing change control and enterprise-level AI integration.</li>
</ul>
2. Advanced AI Implementation &amp; R&amp;D (40%)
<ul>
<li>Generative AI &amp; RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e.g., GPT-4, Gemini, Vertex AI) alongside local SLMs (e.g., Llama 3, Mixtral).</li>
<li>Agentic Workflows: Build autonomous agents using frameworks such as LangGraph (preferred), CrewAI, or AutoGen to automate complex, multi-step business logic.</li>
<li>MLOps &amp; Governance: Take full ownership of the model lifecycle, including fine-tuning LLMs/SLMs, monitoring model drift, ground truth validation, and ensuring compliance with Model Risk Management (MRM) standards.</li>
<li>UAT Validation: Drive User Acceptance Testing (UAT) focused on specific business outcomes and accuracy benchmarks.</li>
</ul>
3. Leadership &amp; Solution Orchestration (20%)
<ul>
<li>Stakeholder Management: Navigate complex client ecosystems, acting as the primary technical liaison for both C-suite stakeholders and engineering teams.</li>
<li>Strategic Communication: Translate high-level business requirements into sustainable, high-value generative AI solutions.</li>
<li>CoE Liaison: Partner with the BFS AI CoE to bring cutting-edge R&amp;D and incubated solutions, actively participating in multiple client AI solution demos and delivery assurance to global clients.</li>
<li>Team Mentorship: Lead and inspire a high-performing technical team, fostering a positive, solution-oriented mind and an initiative-taking culture.</li>
</ul> 
Skills 
Mandatory Skills : AI/GenAI Research, AI/Generative AI 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $90,000.00 to $125,000.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

GenAI Developer

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Jul 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Data Engineer

Caris Life Sciences

<div>At Caris, we understand that cancer is an ugly word&mdash;a word no one wants to hear, but one that connects us all. That&rsquo;s why we&rsquo;re not just transforming cancer care&mdash;we&rsquo;re changing lives. 
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: &ldquo;What would I do if this patient were my mom?&rdquo; That question drives everything we do. 
But our mission doesn&rsquo;t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare&mdash;driven by innovation, compassion, and purpose. 
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Lead and innovate as a Senior Staff Cloud DevOps Engineer specializing in AWS and Kubernetes to architect, implement, and optimize scalable, secure cloud-native infrastructure. Lead strategic initiatives, drive technical transformations, and provide expertise in cloud migrations, security implementations, and DevOps best practices. Develop and execute on long-term technical roadmaps, mentor junior engineers, and collaborate with executive leadership to align technology solutions with business objectives. Champion a culture of continuous improvement, knowledge sharing, and operational excellence across the organization.
Job Responsibilities<ul><li>
Architect and lead the implementation of large-scale, complex Kubernetes environments on AWS EKS, ensuring enterprise-grade availability, scalability, and security. Design and implement advanced features including multi-cluster management, service mesh architectures, and custom controllers.</li><li>
Drive strategic proof-of-concept (PoC) initiatives for emerging technologies, evaluating their potential impact on the organization's technical landscape and business goals.</li><li>
Lead the development of enterprise-wide standards for Kubernetes cluster lifecycle management, including upgrade strategies, security policies, and performance optimization frameworks.</li><li>
Provide expert-level consultation to cross-functional teams on cloud-native application design, microservices architecture, and container orchestration strategies.</li><li>
Architect and implement comprehensive, multi-layered observability solutions integrating metrics, logs, and traces. Develop predictive monitoring capabilities and establish organization-wide observability standards.</li><li>
Lead the adoption of advanced Infrastructure as Code (IaC) practices and oversee the implementation of sophisticated CI/CD and GitOps-based continuous delivery (e.g., ArgoCD) pipelines, including modular design patterns, reusable components, and automated testing frameworks for efficient application deployment and image management across multiple environments.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li><li>
Develop and execute the organization's cloud security strategy, including the implementation of zero-trust architectures, automated compliance checks, and security-as-code practices. Translate complex regulatory and compliance requirements (e.g., HIPAA, SOC2, SOX) into actionable cloud implementation plans.</li><li>
Spearhead large-scale cloud migration and application modernization initiatives, collaborating with business stakeholders to align technical solutions with organizational objectives.</li><li>
Identify and implement strategic opportunities for process improvements and automation across the DevOps and cloud infrastructure landscape, developing and executing long-term roadmaps to drive continuous enhancement of cloud operations and DevOps practices.</li><li>
Lead critical incident response efforts and participate in on-call rotations to support and improve the reliability of critical cloud infrastructure.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>
9+ years of experience in DevOps or Site Reliability Engineering roles.</li><li>
7+ years of hands-on experience with AWS services and cloud architecture.</li><li>
7+ years of hands-on experience with Kubernetes, including deep expertise in cluster management, troubleshooting, and optimization.</li><li>
Expert-level proficiency in at least one programming language (e.g., Python, Go) with a track record of developing and maintaining production-grade software.</li><li>
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, AWS CDK) and ability to design scalable, modular IaC frameworks.</li><li>
Deep understanding of containerization technologies and orchestration platforms, including security best practices and performance optimization techniques.</li><li>
Proven experience in designing and implementing enterprise-grade CI/CD pipelines and DevOps workflows, preferred with GitLab CI, with hands-on GitLab CI/CD expertise (pipelines, runners, modular templates).</li><li>
Expert-level networking in complex AWS environments; hybrid/multi-cloud experience a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to troubleshoot complex distributed systems and provide innovative solutions.</li><li>
Proven ability to lead PoC initiatives and evaluate new technologies.</li><li>
Demonstrated experience in creating and maintaining technical documentation and knowledge bases.</li><li>
Excellent communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders, including executive leadership.</li><li>
Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.</li><li>
Hands-on experience leveraging AI-assisted development tools (e.g., Claude, Cursor) to accelerate engineering work, including building automations, agents, and reusable skills/workflows that improve team productivity and reduce operational toil.</li><li>
Hands-on experience with GitOps-based continuous delivery using ArgoCD (app-of-apps, sync/health management, Helm/Kustomize deployments to Kubernetes).</li></ul>
Preferred Qualifications<ul><li>
AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional).</li><li>
Kubernetes certifications (e.g., CKA, CKAD, CKS).</li><li>
Experience with multiple cloud platforms (e.g., AWS, GCP) for multi-cloud architectures.</li><li>
Deep expertise in database technologies including design and optimization of distributed database systems including MySQL, PostgreSQL, and Serverless platforms.</li><li>
Proficiency with specific monitoring and observability tools such as DataDog and AWS CloudWatch.</li><li>
Hands-on experience with configuration management tools (e.g., Ansible, Chef, Puppet).</li><li>
Experience in implementing knowledge management systems or tools in a DevOps environment.</li><li>
Contributions to open-source projects or personal projects demonstrating cloud expertise.</li></ul>
Physical Demands<ul><li>
Ability to sit for extended periods while working on a computer.</li></ul>
Training<ul><li>
All job specific safety and compliance training are assigned based on the job functions associated with this employee.</li></ul>
Other<ul><li>
Job may require after-hours response to emergency issues and on-call availability as required</li></ul>
Annual Hiring Range
$170,000 - $220,000
Actual compensation offer to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level. The pay ratio between base pay and target incentive (if applicable) will be finalized at offer. 
Description of Benefits<ul><li>
Highly competitive and inclusive medical, dental and vision coverage options</li><li>
Health Savings Account for medical expenses and dependent care expenses</li><li>
Flexible Spending Account to pay for certain out-of-pocket expenses</li><li>
Paid time off, including: vacation, sick time and holidays</li><li>
401k match and Financial Planning tools</li><li>
LTD and STD insurance coverages, as well as voluntary benefit options</li><li>
Employee Assistance Program</li><li>
Pet Insurance</li><li>
Legal Assistance</li><li>
Tuition Assistance</li></ul>
Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management&rsquo;s assignment of essential functions. Nothing in this job description restricts management&rsquo;s right to assign or reassign duties and responsibilities to this job at any time. 
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.</div>

Senior Staff DevOps Engineer

<div>About this role:
Wells Fargo is seeking a Lead Python Software Engineer in the Secured Network Services organization with a goal to deliver automation solutions that enable a software driven Infrastructure environment. If you're passionate about automation, cloud-native technologies, and building scalable systems, this is your opportunity to make a real impact in a large-scale enterprise environment. 
In this role, you will:<ul><li>
Create API‑driven integrations between network platforms and internal systems.</li><li>
Develop and maintain automation frameworks that improve reliability and reduce operational toil.</li><li>
Translate manual operational procedures into codified, repeatable automation.</li><li>
Ensure automation artifacts follow best practices for performance, maintainability, and security.</li><li>
Collaborate with network engineering and platform teams to align automation with broader architectural strategies.</li><li>
Lead the automation of product deployments, customer journeys, and creation of APIs for our products and services</li><li>
Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., GitHub Copilot and approved code‑centric agents)</li><li>
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting</li><li>
Apply strong technical judgment when validating and integrating AI‑assisted outputs into solutions</li><li>
Understand and account for model limitations, security risks, and operational considerations</li><li>
Apply AI responsibly in development and production environments</li><li>
Ensure AI usage aligns with security, compliance, privacy, and ethical standards</li></ul> 
Required Qualifications:<ul><li>
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
3+ years python development experience</li></ul>
Desired Qualifications:<ul><li>
Proficiency in Python for building automation tooling, integrations, and workflow orchestration</li><li>
Experience with langchain/langraph, google ADK/A2A, AG-UI, and other common opensource libraries for developing AI workflows.</li><li>
Experience with openai api spec and building interfaces into enterprise models</li><li>
Experience with MCP, Djando, graphQL, PSQL, no SQL, REACT, fast API, oAuth,</li><li>
Experience with Multi agent orchestration</li><li>
Demonstrated ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning</li><li>
Hands-on experience with source control like GitHub.</li><li>
Experience working in large‑scale, enterprise environments with change control and structured processes.</li><li>
Extensive expertise in Microservices, RESTful API and event driven architectures.</li><li>
Hands‑on experience with Ansible, including developing reusable playbooks, roles, and modules for network automation.</li><li>
Proficiency in dealing with Legacy infrastructure along with cloud infrastructure (OpenShift, Cloud Foundry, Kubernetes)</li><li>
Working knowledge of Unix, Linux, Mongo DB, Postman</li></ul> 
Job Expectations:<ul><li>
Ability to work on-site at approved location</li><li>
This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li><li>
Relocation assistance is not available for this position</li></ul>
Posting End Date:
26 Jun 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Software Engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Multiple positions. Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Programming in Java, Python, or R; CI/CD, Jenkins, GIT, Java, or Python; JSON, HTML, or CSS; Agile methodologies; REST, SOAP, or Web Service APIs; JIRA or Confluence; Software testing, quality assurance, and troubleshooting; Domain support for healthcare or retail organization; Software development lifecycle; Web and mobile applications development; and Writing application code and deploying to production. Pay Range: $114379.00/year to $185400.00/year.
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Sr. Data Engineer

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