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On Call Biosensor Scientist Jobs (NOW HIRING)

... on-call rotation health, and workload balance across concurrent platform initiatives. • Own the ... Lingo's biosensor data pipelines. • Partner with Security and Cybersecurity teams to ensure ...

... and scientists. THE OPPORTUNITY At Lingo, we're building a groundbreaking health platform that ... Manage team capacity, on-call rotation health, and workload balance across concurrent platform ...

... and scientists. THE OPPORTUNITY At Lingo, we're building a groundbreaking health platform that ... Manage team capacity, on-call rotation health, and workload balance across concurrent platform ...

Senior Platform Engineer

Alameda, CA

$118K - $162K/yr

At Lingo, we're building a groundbreaking health platform that combines continuous biosensor data ... Qualifications: * Bachelor's degree in computer science, Systems Engineering, or a related ...

Senior Platform Engineer

Alameda, CA · On-site

$118K - $162K/yr

At Lingo, we're building a groundbreaking health platform that combines continuous biosensor data ... Qualifications: * Bachelor's degree in computer science, Systems Engineering, or a related ...

Senior Platform Engineer

Alameda, CA · On-site

$118K - $162K/yr

At Lingo, we're building a groundbreaking health platform that combines continuous biosensor data ... Qualifications: * Bachelor's degree in computer science, Systems Engineering, or a related ...

Senior Platform Engineer

Alameda, CA · On-site

$90K - $180K/yr

At Lingo, we're building a groundbreaking health platform that combines continuous biosensor data ... Qualifications: * Bachelor's degree in computer science, Systems Engineering, or a related ...

On Call Biosensor Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do on call biosensor scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for on call biosensor scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Biosensor Scientist jobs? The most popular types of Biosensor Scientist jobs are:
Infographic showing various On Call Biosensor Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 80% Full Time, 13% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Senior Manager, Platform Engineering

Abbott

Alameda, CA • On-site

Full-time

Re-posted 9 days ago


Abbott rating

7.8

Company rating: 7.8 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

180th of 537 rated manufacturers


Job description

Job Summary:
Abbott is a global healthcare leader that helps people live more fully at all stages of life. They are seeking a Senior Manager, Platform Engineering to lead and mentor a team of engineers responsible for the reliability and performance of a consumer health platform. This role involves managing cloud infrastructure, DevOps practices, and ensuring operational excellence within the team.
Responsibilities:
• Lead, mentor, and grow a team of platform, DevOps, and SRE engineers to own a 24/7 consumer health platform.
• Build a team culture that prizes operational rigor, continuous improvement, and shared ownership of platform health—where engineers take pride in uptime and treat every incident as a learning opportunity.
• Manage team capacity, on-call rotation health, and workload balance across concurrent platform initiatives.
• Own the design, provisioning, scaling, and evolution of Lingo’s cloud infrastructure on Azure, ensuring it can support the demands of a globally distributed consumer biosensing platform.
• Define and enforce cloud architecture standards, guardrails, and best practices, including infrastructure-as-code, environment management, and cost optimization across cloud and PaaS services.
• Develop and maintain best practices for cloud data services, including SQL, NoSQL, data lakes, and Blob Storage, supporting Lingo’s biosensor data pipelines.
• Partner with Security and Cybersecurity teams to ensure continuous hardening of cloud infrastructure, maintaining compliance with PCI, PHI, HIPAA, GDPR, and other applicable privacy and governance standards.
• Build and maintain a comprehensive 24/7 monitoring, alerting, and incident response capability, ensuring the team can detect, diagnose, and resolve issues rapidly across all production environments.
• Lead incident management and post-incident review culture, ensuring learnings are systematically captured and acted upon to reduce repeat failures.
• Manage and continuously improve Level 1 and Level 2 incident resolution processes, on-call rotation structures, and escalation paths.
• Own backup, disaster recovery, and business continuity planning for Lingo’s production systems.
• Lead the DevOps function, owning CI/CD pipeline infrastructure, deployment automation, and the tooling that enables Lingo’s engineering teams to ship reliably and frequently.
• Implement and evolve end-to-end observability, including distributed tracing, logging, and metrics, to provide engineering teams the visibility they need to build and operate high-quality software.
• Represent platform engineering in technology leadership discussions, contributing a platform and reliability perspective to roadmap and architecture decisions.
Qualifications:
Required:
• Bachelor’s degree in software engineering or a related field, or equivalent practical experience.
• 12+ years of experience in cloud infrastructure, DevOps, or platform engineering, with strong hands-on depth in at least two of the three disciplines : Platform Engineering, DevOps, and SRE.
• 3+ years of engineering management experience with direct line management responsibility, including hiring, performance management, and career development of engineers.
• Hands-on technical experience to engage meaningfully in architecture discussions, infrastructure design reviews, and incident analysis alongside your team.
• Deep experience with Azure cloud services, including infrastructure provisioning, scaling, security, and cost management at production scale.
• Proven experience establishing and running 24/7 monitoring, alerting, and on-call operations for consumer-facing or high-availability platforms.
• Strong understanding of SRE principles : SLOs, SLIs, error budgets, incident management, and post-incident review practices.
• Experience with infrastructure-as-code tooling (e.g., Terraform or equivalent) and modern CI/CD pipeline management.
• Strong communication skills, with the ability to convey complex platform and reliability concepts to non-technical stakeholders and represent the platform function in senior leadership forums.
Preferred:
• Experience building and maintaining infrastructure compliant with PCI, PHI, HIPAA, GDPR, or other applicable privacy and governance frameworks.
• Experience managing platform engineering teams supporting IoT, biosensor, or real-time consumer health data pipelines.
• Familiarity with cloud security, identity management, and zero-trust security models at scale.
• Experience with observability tooling such as New Relic, Sentry, PagerDuty, Datadog, or equivalent for end-to-end platform monitoring.
• Experience with AIOps practices, and tooling, including AI driven anomaly detection, predictive alerting and automated incident triage to enhance platform observability and reduce mean time to resolution.
• Familiarity with MLOps platforms and infrastructure such as model serving, pipeline orchestration and experience in partnering with Data science and AI/ML teams to operationalize models reliably in production.
• Background in data infrastructure including SQL, NoSQL, data lakes, and Blob Storage in a cloud-native context.
Company:
Abbott is a healthcare company that produces diagnostic kits, medical devices, nutritional products, and branded generic medicines. Founded in 1888, the company is headquartered in Illinois City, USA, with a team of 10001+ employees. The company is currently Late Stage.

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