Solutions Engineer Advisor Sr
Listed on 2026-06-30
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IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
Solution Engineer Sr Advisor
Locations: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
PLEASE NOTE:
This position is not eligible for current or future VISA sponsorship.
The Solution Engineer Sr Advisor is responsible for programming on specific application subsets of the company's application portfolio, participating in all phases of the development and maintenance life cycle, typically for an assigned business unit or corporate department and utilizing various customer technology platforms.
How you will make an Impact- Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business.
- Leads efforts with Web and marketing team to increase the presence of web products.
- Owns the change request process and coordinates with other teams as necessary.
- Develops and owns list of final enhancements.
- Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from which programs will be written.
- Performs technical design reviews and code reviews.
- Ensures unit test is completed and meets the test plan requirements; system testing is completed and the system is implemented according to plan.
- Responsible for delivery of application technology solutions and data information planning effort.
- Coordinates and manages on-call support and owns the system monitoring process.
- Owns the technical development environment and works on the Enterprise team.
- Leads multiple or large projects and facilitates large group JAD sessions for requirements, modeling in several disciplines.
- Leads vendor evaluation and analysis.
Requires a BA/BS degree in Information Technology, Computer Science or related field of study and minimum of 7 years multi platform and/or business and technical applications; or any combination of education and experience, which would provide an equivalent background.
Preferred Skills, Experiences and Competencies- Participation across the full SDLC (development and maintenance).
- Demonstrated experience leading requirements sessions, translating business needs into technical solutions, and delivering enhancements into production.
- Proven ability to perform technical design reviews, code reviews, and ensure test completeness and implementation readiness.
- Experience supporting production applications, including troubleshooting, incident response, monitoring, and on-call coordination.
- Experience working in regulated environments with governance controls, change management, and segregation-of-duties considerations.
- Prior experience coordinating or evaluating vendors and third-party tools.
- Excellent communication and analytical skills.
- Proficient with developing and designing Data pipelines, Data warehouse solution utilizing AWS and Big Data technologies.
- Proficient in AWS Services – S3, Redshift (Lake Formation, RLS, WLM), AWS Glue, AWS Lambda Athena, Hive, EMR, Elastic Search
- Multi-database and/or multi-language strongly preferred – Postgres, MySQL, Aurora, RDS, Redshift
- Experience in AWS Cloud Engineering – CICD pipeline, Cloud formation, Server Scalability
- Experience leveraging AWS AI/ML services such as Amazon Bedrock, Sage Maker, Comprehend, Textract, Rekognition, or equivalent cloud AI platforms.
- Knowledge of AI solution architecture, including model selection, evaluation, deployment, monitoring, and governance.
- Experience integrating AI capabilities into enterprise applications, data platforms, APIs, and business workflows.
- Experience in Spark, PySpark, Scala, Python preferred.
- Experience in Agile software development life cycles preferred.
- Experience in Data visualization using Tableau or equivalent product.
- Experience mentoring others and leading resolution of technical issues strongly preferred.
- Experience leading people, small projects and providing troubleshooting support strongly preferred.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.
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