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Python Kubernetes Software Engineer Data Jobs in Ramona, CA

Senior Software Engineer, Data Engineering

San Diego, CA · On-site

$130K - $171K/yr

... using Python and cloud-native architectures. • Develop reusable frameworks, SDKs, APIs, and ... Kubernetes-first architecture on AWS. • Build cloud-native streaming services and event pipelines ...

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... Kubernetes in AWS. You will work across the full stack - from React/TypeScript frontends to ... NET and Python backend services - and collaborate closely with teammates and cross-functional ...

Experience developing backend services or APIs using Node.js, Python, Java, Go, or similar ... Kubernetes. * Strong understanding of software engineering fundamentals, data structures, and ...

Experience developing backend services or APIs using Node.js, Python, Java, Go, or similar ... Kubernetes. * Strong understanding of software engineering fundamentals, data structures, and ...

Experience developing backend services or APIs using Node.js, Python, Java, Go, or similar ... Kubernetes. * Strong understanding of software engineering fundamentals, data structures, and ...

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Python Kubernetes Software Engineer Data information

What cities near Ramona, CA are hiring for Python Kubernetes Software Engineer Data jobs? Cities near Ramona, CA with the most Python Kubernetes Software Engineer Data job openings:
Senior Software Engineer, Data Engineering

Senior Software Engineer, Data Engineering

Resmed

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Posted 2 days ago


ResMed rating

7.4

Company rating: 7.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

133rd of 192 rated software companies


Job description

Job Summary:
ResMed is a global leader in connected devices and digital health, dedicated to creating innovative solutions that transform lives. They are seeking a Senior Software Engineer to join their Global Data Platform Engineering team to design, build, and operate scalable self-service platform capabilities that support analytics and engineering productivity.
Responsibilities:
• Design, build, and maintain scalable self-service data platform capabilities supporting ingestion, orchestration, transformation, and data delivery workflows.
• Develop modern frontend applications and platform experiences using React and TypeScript.
• Build backend platform services and APIs using Python and cloud-native architectures.
• Develop reusable frameworks, SDKs, APIs, and platform tooling that improve developer productivity and enable self-service capabilities.
• Lead the evolution of the platform toward a cloud-native, Kubernetes-first architecture on AWS.
• Build cloud-native streaming services and event pipelines leveraging Kafka.
• Provision and manage infrastructure using Terraform and Infrastructure-as-Code best practices.
• Implement CI/CD automation, deployment pipelines, observability, and operational best practices.
• Ensure platform reliability, scalability, security, and performance across production environments.
• Collaborate closely with product managers, data engineers, analytics engineers, ML engineers, and application teams to deliver high-impact platform capabilities.
• Facilitate technical design discussions and mentor engineers across frontend, backend, and platform engineering best practices.
• Contribute to shared standards, reusable patterns, and engineering excellence across the broader platform organization.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience.
• 8+ years of professional software or platform engineering experience building production-grade applications, platform services, or distributed systems.
• Strong frontend development experience using: React, TypeScript/JavaScript, Modern frontend architecture and component design patterns.
• Strong backend development experience using Python and API-driven service development.
• Hands-on experience with AWS cloud services.
• Deep hands-on experience with enterprise-scale relational and NoSQL databases, including Snowflake, DynamoDB, PostgreSQL, MySQL, SQL Server, and MongoDB, with strong understanding of performance, scalability, and data modeling principles.
• Strong experience with Kubernetes, Docker, and containerized application development.
• Experience provisioning and managing cloud infrastructure using Terraform and Infrastructure-as-Code principles.
• Strong understanding of distributed systems, microservices architecture, and event-driven design patterns.
• Experience implementing CI/CD pipelines using tools such as GitHub Actions, or similar platforms.
• Experience implementing observability and monitoring using tools such as Datadog, Grafana, Prometheus, OpenTelemetry, or CloudWatch.
• Strong collaboration and communication skills with experience working across cross-functional engineering organizations.
Preferred:
• Experience building or operating enterprise-scale data platforms.
• Experience with orchestration frameworks such as Airflow or Dagster.
• Familiarity with streaming and event-driven systems using Kafka, Flink, or Kinesis.
• Experience with modern data platform technologies such as Spark, Databricks, Snowflake, or Delta Lake.
• Experience leveraging AI-assisted development lifecycle (AI-DLC) tools and practices to improve engineering productivity and software quality.
• Familiarity with metadata management, governance, lineage, and data catalog concepts.
• Experience with platform security, multi-tenancy, and enterprise-scale operational patterns.
• Prior experience working in healthcare, regulated environments, or large-scale enterprise systems.
Company:
ResMed provides medical devices to treat and manage sleep apnea and pulmonary diseases. Founded in 1989, the company is headquartered in Sydney, AUS, with a team of 5001-10000 employees. The company is currently Late Stage.

What ResMed employees say

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Hours and flexibility

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