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.net full stack engineer

net azure architect and technical lead health data platforms

PA Consulting

<div>Company Description 
We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life 
Job Description 
Your day to day
PA Consulting is seeking a dynamic and experienced .NET/Azure Architect and Technical Lead to join our Health Data Platforms team. In this role, you will be responsible for both leading and actively contributing to the design, development, implementation and maintenance of cutting-edge health data solutions on the Azure platform built in .NET. You will guide a talented team of engineers and developers, ensuring the delivery of high-quality, scalable, and secure health data platforms.
Key Responsibilities:<ul><li>
Architectural Leadership: Design and architect robust, scalable, and secure health data solutions on the Azure platform.</li><li>
Technical Guidance: Provide hands-on technical leadership and mentorship to the development team, fostering a collaborative and innovative environment.</li><li>
Project Management: Oversee project timelines, deliverables, and resource allocation to ensure successful project execution.</li><li>
Stakeholder Collaboration: Work closely with clients, stakeholders, and cross-functional teams to understand requirements and deliver solutions that meet business needs.</li><li>
Quality Assurance: Ensure the highest standards of quality and performance in all deliverables through rigorous testing and code reviews.</li><li>
Continuous Improvement: Stay up-to-date with the latest Azure technologies and industry trends, and drive continuous improvement initiatives within the team.</li></ul>
#LI-JS1 
#LI-Hybrid 
Qualifications 
At Least 10 years of experience as a .NET/ Azure Architect and Technical Lead<ul><li>
Experience: Proven experience as a .NET/ Azure Architect and Technical Lead, with a strong background in web and data platforms, ideally in the healthcare sector.</li><li>
Experience of working in the Healthcare industry and with clinical data and regulated environments.</li><li>
Technical Skills: Expertise in building web applications using the latest versions of .NET (ideally using Blazor), and Azure services, including but not limited to Azure App Service, Azure Data Factory, Azure SQL Database, Azure Synapse Analytics. Experience using Azure Bicep for IaC and GitHub and GitHub Actions for source control and CI/CD.</li><li>
HIPAA and PHI Compliance: Experience with HIPAA regulations, HITRUST and handling Protected Health Information (PHI), ensuring all solutions meet stringent privacy and security standards.</li><li>
Clinical Data Registries: Familiarity with clinical data registries, including Qualified Clinical Data Registries (QCDRs), and their role in improving healthcare quality is a plus.</li><li>
Leadership: Demonstrated ability to lead and inspire a technical team, with excellent communication and interpersonal skills.</li><li>
Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions.</li><li>
Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.</li></ul> 

Additional Information 
Benefits package at PA<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul>
In compliance with Colorado&rsquo;s, New York &amp; Massachusetts's Equal Pay Transparency Act, PA is required to provide a reasonable salary range for this role. This salary range is specific to the State of Massachusetts and is commensurate with experience, market data, applicant skills, internal equity and/or degrees/certifications. Salary Range: $ 155,000 - $180,000</div>

.NET/Azure Architect and Technical Lead - Health Data Platforms

<div><div>We believe in the power of ingenuity to build a positive human future.
As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life</div> 
<div><div><div><div><h4 class="jobSectionHeader">Job description</h4>
Your day-to-day 
 
Are you a Full Stack Engineer (.NET) passionate about leveraging your skills to make a meaningful impact on healthcare and patient outcomes?
Do you want to work in a collaborative, Agile environment where you can grow your technical expertise while contributing to impactful projects?
We&rsquo;re looking for a Full Stack Engineer (.NET) to join our team in the development of a clinical data registry platform. This multi-year initiative offers a unique opportunity to build practical skills, gain hands-on experience, and contribute to improving healthcare quality through data-driven insights.
As a Full Stack Engineer (.NET), you&rsquo;ll work alongside experienced engineers, learning to develop clean .NET code, contribute to full-stack applications, and gain exposure to cloud-based deployment and CI/CD processes. 
 
#LI-JS1</div> 
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Qualifications</h4>
Minimum requirements:<ul><li>
8-10 years of industry working experience</li><li>
Experience or coursework developing full-stack web applications with ASP.NET Framework (.NET 7 preferred).</li><li>
Basic understanding of Entity Framework Core and relational databases (e.g., Azure SQL Database, MSSQL).</li><li>
Familiarity with building and deploying web applications on cloud platforms (AWS, GCP, Azure).</li><li>
Exposure to YAML-based CI/CD pipelines or similar tools (e.g., Azure DevOps, GitHub).</li></ul>
Preferred qualifications:<ul><li>
Interest in or exposure to .NET Blazor for frontend development.</li><li>
Some familiarity with Azure services like Azure Web Apps or Functions.</li><li>
Eagerness to learn Python/PySpark and deepen cloud deployment expertise.</li></ul> 
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader">Additional information</h4>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. 
 
The Salary Range for this role is between $155,000 - $180,000 

 
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time
Benefits<ul><li>
Group medical insurance</li><li>
Health Savings Account with company match</li><li>
Teladoc and informed Nurse line resources</li><li>
Long term care plan</li><li>
Group dental insurance</li></ul><ul><li>
Vision plan</li><li>
401(k) Savings Plan with company profit sharing contribution</li><li>
Commuter and Parking tax-savings benefit</li><li>
15 days paid vacation days with the opportunity to buy five additional days</li><li>
10 paid Holidays plus 10 paid sick days</li></ul><ul><li>
Company and Voluntary income protection benefits</li><li>
Gym and health incentive reimbursement</li><li>
Pet and legal insurance Plans</li><li>
Employee Assistance Plan</li><li>
Annual performance-based bonus</li></ul></div></div></div></div></div>

.NET Full Stack Engineer

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 Verisk
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 We are seeking a talented SDET with a deep passion for delivering quality while working closely with our growing development team. You will have the opportunity to set up new frameworks, create automated test scripts in a CI/CD environment, work with a variety of AWS services and continually optimize our automation processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop test framework/tools to achieve the efficiency and productivity to ensure functionality, reliability, performance and scalability of cloud.
 </li>
 <li>
 Develop automation tools/web application using angular.
 </li>
 <li>
 Research new tools in the market which can apply to our business need.
 </li>
 <li>
 Use a wide range of cutting-edge technology to innovate while testing/developing.
 </li>
 <li>
 Design scalable infrastructure for test execution.
 </li>
 <li>
 Explore new ways to expedite the testing life cycle by bringing in different frameworks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. in Computer Science or equivalent quantitative degree; M.S. degree in Computer Science or equivalent preferred.
 </li>
 <li>
 0-2 years work experience
 </li>
 <li>
 Experience working with AWS infrastructure services.
 </li>
 <li>
 Coding experience with cloud microservices.
 </li>
 <li>
 Professional experience, not academia, architecting systems built with Amazon Web
 </li>
 <li>
 Services, Microservices, Docker images and containers.
 </li>
 <li>
 Experience coding with .Net core.
 </li>
 <li>
 Experience in developing and designing REST API's based web Services.
 </li>
 <li>
 Experience with Angular WEB development.
 </li>
 <li>
 Experience with web technologies: Angular, Node, JavaScript, CSS3, and HTML5.
 </li>
 <li>
 DevOps experience and familiarity with deployment using systems like docker, AWS.
 </li>
 <li>
 Must have experience with SAAS based automation framework development.
 </li>
 <li>
 Nice to have AI/ML exposure.
 
 
 </li>
 </ul>
 
 Preferred Technical Skills
 
 
 
 <ul>
 <li>
 Experience developing automation framework for SAAS based projects.
 </li>
 <li>
 Hands on experience in AWS/Cloud technologies.
 </li>
 <li>
 Hands on experience with Jasmine, Mocha, Protractor automation frameworks for web applications.
 </li>
 <li>
 Experience coding in C# and .Net core.
 </li>
 <li>
 Advanced experience working with any database technologies.
 </li>
 <li>
 Work in DevOps, installing, configuring, and integrating Automation scripts on Continuous Integration tools (CI/CD) like Azure for nightly test suite execution and working knowledge on testing and configuring Amazon Web services (AWS).
 </li>
 <li>
 AWS or Azure Architect certifications are desirable
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
 
 
 At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
 
 
 For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
 
 
 We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 
 
 Verisk Businesses
 
 
 Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
 
 
 Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
 
 
 Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
 
 
 Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
 
 
 Catastrophe and Risk Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
 
 
 Marketing Solutions &mdash; delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
 
 
 Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
 
 
 Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
 
 
 Verisk Analytics is an equal opportunity employer.
 
 
 Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
 
 
 All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
 
 
 https://www.verisk.com/company/careers/
 
 
 Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
 
 
</div>

SDET

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
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.
In this role, you will:<ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.
Required Qualifications<ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul>
Preferred Qualifications<ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul>
Education<ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00
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. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Senior Data Engineer

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA<h2 class="jobSectionHeader">
Reports to: Head of Architecture4Insight, Data Foundry</h2>
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.<h2 class="jobSectionHeader">
About Data Foundry:</h2>
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.<h2 class="jobSectionHeader">
Position Summary:</h2>
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>
Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li><li>
Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li><li>
Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li><li>
Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li><li>
Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li><li>
Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li><li>
Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li><li>
Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li><li>
Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li></ul><h2 class="jobSectionHeader">
Basic Requirements:</h2><ul><li>
MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li><li>
6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li></ul><h2 class="jobSectionHeader">
Additional Preferences:</h2><ul><li>
Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li><li>
Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li><li>
Strong software engineering skills with experience in multiple programming languages and modern development practices.</li><li>
Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li><li>
Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li><li>
Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li><li>
Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li><li>
Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li><li>
Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li><li>
Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li><li>
Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li><li>
Track record of founding or building platforms from ground up, not just maintaining existing systems.</li><li>
Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li><li>
Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li><li>
Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li></ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$193,500 - $283,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Director - Cloud Platforms & Agent Infrastructure

Information Technology Senior Management Forum

<div><div>Posted Date
2/25/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Location: San Diego, CA; San Francisco, CA; Louisville, CO; Indianapolis, IN; Boston, MA
Reports to: Head of Architecture4Insight, Data Foundry
Overview:
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Lilly Small Molecule Discovery is an organization purpose-built to create molecules that make life better for people. We focus on using cutting edge science to unlock new approaches that can treat people suffering from diseases with poor treatment options. We continually challenge ourselves to deliver molecules that can provide breakthrough efficacy with the highest possible safety margins. We are dedicated to optimizing our mindset, technology, and processes for faster, more nimble execution. Our success is built on a culture that empowers innovative problem solving through open collaboration and individual accountability.
Discovery Technology and Platforms is a newly established function within this organization. Its mission is to accelerate molecule discovery by building highly optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and intentionally investing in novel technologies and capabilities.
About Data Foundry:
Data Foundry is a multidisciplinary team dedicated to enabling and accelerating molecule discovery through scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). Together, these pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities at scale.
Position Summary:
The Senior Director, Cloud Platforms &amp; Agent Infrastructure will lead technical architecture and platform engineering for Data Foundry's cloud-native infrastructure. Reporting to the Head of Architecture4Insight, you will build scalable, secure, and agent-ready systems that enable both human scientists and autonomous AI agents to accelerate molecule discovery.
You will architect and operate the computational infrastructure, APIs, and workflow automation systems that power real-time data access, analytical method deployment, and agent-driven experimentation &mdash; partnering closely with the Frontier AI group to ensure autonomous agents can reliably access data, invoke methods, and control laboratory systems at scale. As the enabling foundation across all Data Foundry pillars, this role provides Methods4Insight with production-ready platforms for deploying analytical methods as agent-callable APIs; integrates with Automation &amp; Scale4Insight for real-time data capture from laboratory instruments; and partners with Preparedness4Insight to embed governance, metadata standards, and FAIR principles directly into platform design.
The ideal candidate brings proven experience building cloud-native platforms in life sciences, deep expertise in modern software architecture and DevOps, and a track record of translating scientific requirements into scalable technical solutions. Experience with AI agent workflows or MCP server infrastructure is highly valued.
Responsibilities:
<ul><li>Lead the design and operation of Data Foundry&rsquo;s cloud-native infrastructure (AWS, Azure, and/or GCP), including infrastructure-as-code, containerization, orchestration, and self-service platforms that empower discovery scientists to deploy tools and run analyses at scale.</li>
<li>Partner closely with the Frontier AI group to build agent-ready infrastructure&mdash;including APIs with structured error handling, versioning, and audit trails; Model Context Protocol (MCP) servers; and real-time data streaming architectures&mdash;that enable autonomous AI agents to access data, invoke analytical methods, and control laboratory systems.</li>
<li>Ensure Architecture4Insight serves as the enabling technical foundation across all Data Foundry pillars: deploying Methods4Insight&rsquo;s analytical models as production APIs, integrating Scale4Insight&rsquo;s real-time instrument data streams, and embedding Preparedness4Insight&rsquo;s governance and metadata standards into platform design.</li>
<li>Design and implement workflow orchestration systems (Prefect, Airflow, Nextflow, WDL) that automate data pipelines, enable closed-loop experimentation, and provide reusable workflow templates for scientists.</li>
<li>Build data access and integration layers providing unified interfaces to diverse data sources (LIMS, ELNs, instruments, databases), with caching, indexing, and query optimization for interactive analytics and agent queries.</li>
<li>Lead platform engineering to build shared services, CI/CD automation, API gateways, and microservices architectures used across Data Foundry, establishing software engineering best practices and modern development standards.</li>
<li>Collaborate with Tech@Lilly Product Engineering to define pathways for transitioning prototypes to enterprise-managed production systems, establish SLAs, and represent Data Foundry in enterprise architecture forums.</li>
<li>Build, mentor, and help develop a high-performing platform engineering team of architects, software engineers, and DevOps specialists, fostering a culture of technical excellence and continuous learning.</li>
<li>Develop a multi-year roadmap for cloud platforms and infrastructure aligned with Data Foundry strategy, monitoring emerging technologies and establishing KPIs for platform performance, cost efficiency, and scientist satisfaction.</li>
</ul>
Basic Requirements:
<ul><li>MS/Ph.D. in Computer Science, Bioinformatics, Computational Biology, or related field, OR M.S. with equivalent experience in platform engineering and scientific software.</li>
<li>6+ years of experience in cloud platform architecture, scientific software engineering, or research informatics, with at least 3 years in pharmaceutical, biotechnology, or life sciences industry.</li>
</ul>
Additional Preferences:
<ul><li>Proven track record leading platform engineering or infrastructure teams (6&ndash;10+ professionals) delivering production systems.</li>
<li>Deep expertise in cloud-native architecture on AWS, Azure, or GCP including infrastructure-as-code, containerization, orchestration, and security.</li>
<li>Strong software engineering skills with experience in multiple programming languages and modern development practices.</li>
<li>Experience building APIs, microservices, and integration layers for complex scientific or technical systems.</li>
<li>Demonstrated ability to translate scientific requirements into technical architecture and scalable platform solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to scientists, collaborate with IT organizations, and influence stakeholders.</li>
<li>Experience with AI agent infrastructure, autonomous system platforms, or building APIs that AI/ML systems invoke programmatically.</li>
<li>Hands-on experience with Model Context Protocol (MCP) servers, LangChain, or similar frameworks for AI agent tool integration.</li>
<li>Deep understanding of workflow orchestration tools (Nextflow, Prefect, Airflow, WDL, Snakemake) and experience building automated scientific pipelines.</li>
<li>Experience with genomics, proteomics, or bioinformatics platforms and understanding of scientific data characteristics.</li>
<li>Familiarity with LIMS, ELN systems, and laboratory automation data integration patterns.</li>
<li>Track record of founding or building platforms from ground up, not just maintaining existing systems.</li>
<li>Experience with data governance, semantic modeling, ontologies, and metadata frameworks in scientific contexts.</li>
<li>Strong mentorship capabilities with passion for developing engineering talent and building collaborative teams.</li>
<li>Entrepreneurial mindset with ability to operate in ambiguous, fast-paced research environments.</li>
</ul>
Additional Information:
Physical Demands/Travel:
The physical demands of this job are consistent with an office environment. This position will require travel (~15&ndash;20%) to collaborate with teams across multiple Lilly sites and occasional external conferences.
Work Environment:
This position&rsquo;s work environment is primarily in an office with computational resources, with regular interaction with laboratory environments to understand data generation and system integration requirements.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$193,500 - $283,800
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
193,500.00 - 283,800.00 Annual</div></div><div></div>

Rachel Solutions

The Enterprise AI Shift Starts HereYou will lead the structured rollout of GitHub Copilot across complex, legacy-heavy enterprise systems. This is a hands-on leadership role focused on embedding AI-assisted development into real production environments built on Java, .NET, C/C++, and scripting stacks.The Organization Behind the MissionA global IT services and consulting firm supporting large-scale digital transformation for enterprise clients. Operating through an agile delivery model, the company is known for engineering depth, AI-driven modernization, and long-standing enterprise partnerships.Who This Role Is Built For<ul><li>Candidates who are comfortable working in a short-term, 6-month contract capacity</li><li>Experienced professionals who are looking to step into focused, high-impact contract or consultancy-style work</li><li>Senior technical leaders experienced in enterprise legacy systems</li><li>Engineers who understand Java, .NET, and C/C++ at production scale</li><li>Practitioners who have implemented GitHub Copilot and managed custom agent development</li><li>Leaders comfortable driving cross-functional change across engineering teams</li><li>Technologists who want direct involvement in end-to-end AI tooling initiatives</li><li>Professionals prepared for regular onsite engagement</li></ul>This role is hands-on and execution focused, with clear expectations around ownership, structure, and follow-through from planning through delivery.What You&rsquo;ll Drive<ul><li>Evaluate development ecosystems and define high-impact Copilot adoption pathways</li><li>Lead quarterly Copilot deployments and oversee custom agent build cycles</li><li>Architect implementation strategies across legacy environments</li><li>Align engineering, architecture, and leadership stakeholders around rollout plans</li><li>Define measurable KPIs to track adoption effectiveness</li><li>Design and scale training initiatives to accelerate enterprise usage</li></ul>Expertise You&rsquo;ll Leverage in This Role<ul><li>8+ years of technical leadership experience</li><li>Deep hands-on expertise in Java, .NET, and C/C++ enterprise systems</li><li>Demonstrated GitHub Copilot rollout and custom agent implementation experience</li><li>Strong program ownership across cross-functional teams</li><li>7+ years applying Generative AI within business environments</li></ul>How Work Happens<ul><li>High-accountability, outcome-driven environment</li><li>Direct collaboration between engineering and executive stakeholders</li><li>Clear performance metrics tied to AI adoption impact</li><li>Focus on modernizing development workflows inside established enterprise systems</li></ul>Contract Duration: 6 Months Total Positions: 1 Relocation Assistance: No Visa Sponsorship: No Experience Level: Mid-Senior (7+ years) Education: Bachelor&rsquo;s degree preferred Compensation: $50&ndash;$55/hour (~$2,000&ndash;$2,200/week)This position is being represented by an independent recruiting partner on behalf of a confidential client. To be considered, please apply through Indeed. Qualified candidates will be contacted for an initial screening discussion before submission to the client. Your resume will not be shared without your prior consent. Client details will be disclosed to shortlisted candidates during the interview process. Candidates must be authorized to work in the U.S. without current or future sponsorship. The client is an equal opportunity employer and considers all qualified applicants in accordance with applicable employment laws.Pay: $50.00 - $55.00 per hourExpected hours: 40 per weekApplication Question(s):<ul><li>Technical Leadership</li></ul>Describe your experience leading technical teams in enterprise IT environments. What size teams or projects have you managed?<ul><li>Legacy System Expertise</li></ul>Explain your experience working with Java, .NET, or C/C++ in complex, legacy systems. Include examples of projects you contributed to or led.<ul><li>GitHub Copilot / AI Implementation</li></ul>Share an example of a project where you implemented GitHub Copilot or developed custom AI agents. What was your role and what impact did it have?<ul><li>Generative AI Application</li></ul>How have you applied Generative AI technologies in a business or production context? Include tools, frameworks, or outcomes where possible.<ul><li>Project Delivery</li></ul>Describe a time when you led a full project lifecycle involving cross-functional teams. How did you manage change, timelines, and deliverables?<ul><li>Contract Work Preference</li></ul>This role is a 6-month contract. Explain your experience or comfort level working on short-term, high-impact assignments.Work Location: In person

GitHub Copilot Lead

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