Data engineering pipelines jobs

Sr. Software Engineer - Platform Engineering

BLUE ORIGIN · Posted Oct 8, 2026

Open

Washington, United States
Full-time · Senior
$198K–$277K per year
12+ years

Sr. Software Engineer - Platform Engineering

BLUE ORIGIN · Posted Oct 8, 2026

Open

Washington, United States
Full-time · Senior
$198K–$277K per year
12+ years

Senior Software & AI Engineer

Abbott · Posted Nov 6, 2026

Open

Sylmar, California, United States
On-site
Full-time · Senior
$90K–$180K per year

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Design, develop, and deploy regulated medical software with cloud-based AI solutions for Abbott's Cardiac Rhythm Management business.

Compensation

$90,000.00 – $180,000.00

Responsibilities

Architect, design, develop, and test highly scalable software systems that support critical clinical decision-making.
Build, deploy, and manage cloud infrastructure within the Microsoft Azure environment.
Develop and maintain data engineering pipelines to support AI model training and validation.
Integrate AI and machine learning models into production-grade software applications.
Collaborate across disciplines to deliver compliant, high-quality software solutions for regulated medical devices.

Requirements

Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related science or engineering discipline
Nice to have: learning new programming languages
Nice to have: continuous learning
Nice to have: adopting new technologies

Skills

software development coding AI tools

Senior Software & AI Engineer

Abbott · Posted Nov 6, 2026

Open

Sylmar, California, United States
On-site
Full-time · Senior
$90K–$180K per year

Apply with RefersoAI Apply on careers page

The Senior Software & AI Engineer focuses on the design, development, and deployment of regulated medical software, focusing on cloud-based processing and artificial intelligence solutions.

Compensation

The base pay for this position is $90,000.00 – $180,000.00

Responsibilities

Architect, design, develop, and test highly scalable software systems that support critical clinical decision-making.
Build, deploy, and manage cloud infrastructure within the Microsoft Azure environment.
Develop and maintain data engineering pipelines to support AI model training and validation.
Integrate AI and machine learning models into production-grade software applications.
Collaborate across disciplines to deliver compliant, high-quality software solutions for regulated medical devices.

Requirements

Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related science or engineering discipline

Skills

software development coding AI tools and technologies software design and architecture

Platform Engineer - DevOps

GreyLabs AI · Posted Nov 3, 2026

Open

Bengaluru, Karnataka, India +1 more
On-site
Full-time · Senior
6–8 years

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Own deployment infrastructure, build observability stack, manage multi-cloud environments across AWS and GCP.

Locations (2)

Bengaluru, Karnataka, India
Mumbai, Maharashtra, India

Responsibilities

Design and maintain infrastructure as code across AWS and GCP
Own the CI/CD pipeline and build deployment automation
Manage multi-cloud cost attribution, capacity planning, and environment parity
Own the observability stack (SigNoz, Prometheus, Grafana)
Define on-call practices, maintain runbooks, lead postmortems

Skills

AWS GCP Terraform Python Go

Sr. Software Engineer - Platform Engineering

Sr. Software Engineer - Platform Engineering

Compensation

Responsibilities

Requirements

Skills

Benefits

Senior Software & AI Engineer

Compensation

Responsibilities

Requirements

Skills

Senior Software & AI Engineer

Compensation

Responsibilities

Requirements

Skills

Platform Engineer - DevOps

Locations (2)

Responsibilities

Skills

Benefits

Benefits