663 Android App Developer jobs in Wethersfield, CT

DoorDash

Wethersfield, CT

18+ years old
Any car, scooter, or bicycle (in select cities)
Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia
Consistent access to a smartphone
Driver's license number
21+ to deliver alcohol
Social security number (only in the US)

TCC, Verizon Authorized Retailer

Cromwell, CT 06416

Requires frequent standing and the ability to stand, sit, walk, and bend for extended periods of time.
Ability to travel approximately 10%, based on the needs of the business.
This position requires the ability to work in multiple locations.
Reliable transportation.
Ability to lift 10 pounds as needed.
Legally authorized to work in the U.S.
At least a high school diploma.
Ability to work guaranteed full-time hours.
Ability to work a flexible schedule including nights, weekends, and holidays.

Uber

Southwick, MA 01077

A valid U.S. driver's license and vehicle insurance
21 years old or older
A 4-door vehicle
At least one year of driving experience in the U.S. (3 years if you're under 23 years old)

ESPN Careers

Bristol, CT 06010

MassMutual

Hartford, CT 06106

Disney Entertainment and ESPN Product & Technology Careers

Bristol, CT 06010

Stryker Corporation

Hartford, CT 06106

Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Hands‑on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
Applicants must be authorized to work in the United States as a condition of employment.
Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit‑learn, TensorFlow, PyTorch) into production workflows.
4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure‑as‑code (e.g., Terraform, CloudFormation, CDK).
Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).
Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.