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Senior Observability Engineer Jobs in Boston, MA

NxT Level

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The Role Our client is hiring a Senior Engineer to take a hands-on technical leadership role in ... Establish standards for data quality, observability, lineage, governance, security, and operational ...

NxT Level

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

The Role Our client is hiring a Senior Engineer to take a hands-on technical leadership role in ... Establish standards for data quality, observability, lineage, governance, security, and operational ...

IonQ

Senior Research Software Engineer

Boston, MA · On-site

$145K - $191K/yr

As a Senior Software Engineer, you'll be part of a cross-functional team whose mission is to lead ... Improve observability across our R&D software stack (logging, metrics, tracing, alerting) so issues ...

Moderna Therapeutics

Senior AI Engineer

Cambridge, MA · On-site

$145.90 - $234.20/hr

Moderna is seeking a Senior AI Engineer in Cambridge, MA / Warsaw, Poland to provide deep technical ... observability, and access governance. * Build and review critical software components, APIs ...

Hyperproof

Senior DevSecOps Engineer

Boston, MA · Remote

$124K - $170K/yr

Senior DevSecOps Engineer (Remote-based role that requires US-citizenship) About us Hyperproof is ... observability systems, and compliance automation that enables developer velocity while maintaining ...

HCL Global Systems Inc

Senior Platform Engineer

Boston, MA · On-site

$117K - $160K/yr

HCL Global Systems Inc is seeking a Senior Platform Engineer to lead the design, automation, and ... observability, and reliability across the full development lifecycle. • Work closely with ...

ASCENSUS

Senior DevOps Engineer

Boston, MA · Hybrid

$141K - $181K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of handson ... Define and enforce observability standards across logs, metrics, and traces * Implement service ...

State Street Corporation

Senior SIEM Data Engineer

Quincy, MA · On-site

$109K - $150K/yr

As a senior engineer, you will also help define onboarding standards, mentor engineers, drive ... Partner with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud ...

Ascensus, LLC.

Senior DevOps Engineer

Newton, MA · On-site

$142K - $183K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of hands-on ... Define and enforce observability standards across logs, metrics, and traces * Implement service ...

ASCENSUS

Senior DevOps Engineer

Newton, MA · Hybrid

$142K - $183K/yr

Section 1: Position Summary We are seeking a Senior DevOps Engineer with 10+ years of handson ... Define and enforce observability standards across logs, metrics, and traces * Implement service ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

As a senior member of our AI engineering team, you'll provide technical leadership, mentor ... AI observability & monitoring * Responsible AI & safety practices Skills & Experience Required:

Nametag

Senior Software Engineer, Reliability

Boston, MA · Remote

$120K - $190K/yr

Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of ... Observability & Incident Response * Evolve our observability stack: logging, distributed tracing ...

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Showing results 21-40

All JobsObservability Engineer JobsSenior Observability Engineer JobsSenior Observability Engineer Jobs in Boston, MA

Senior Observability Engineer information

See Boston, MA salary details

$64.6K

$137.5K

$199.4K

How much do senior observability engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior observability engineer in Boston, MA is $137,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a senior observability engineer?

A Senior Observability Engineer is a seasoned IT professional responsible for designing, implementing, and maintaining systems that monitor and provide insights into the performance, health, and reliability of software applications and infrastructure. They utilize tools for logging, monitoring, tracing, and alerting to ensure that systems are observable and any issues can be quickly detected and resolved. In addition to technical expertise, they often collaborate with development and operations teams to establish best practices, improve incident response, and optimize system performance. Their work is crucial for maintaining uptime, enhancing customer experiences, and supporting the scalability of technology platforms.

How does a senior observability engineer typically collaborate with development and operations teams?

A Senior Observability Engineer works closely with both development and operations teams to ensure robust monitoring, logging, and tracing solutions are in place across all applications and infrastructure. They often participate in architecture discussions to advise on best practices for instrumenting code and systems for observability. By analyzing metrics and alerting patterns, they help teams proactively resolve issues and optimize system performance. This role also involves mentoring engineers on observability tools and fostering a culture of transparency and accountability in incident response.

What is the difference between Senior Observability Engineer vs Site Reliability Engineer?

AspectSenior Observability EngineerSite Reliability Engineer
CredentialsExperience with monitoring tools, scripting, cloud platformsSame as Senior Observability Engineer, often with SRE certifications
Work EnvironmentFocus on monitoring, logging, and tracing systemsFocus on system reliability, automation, and incident response
Industry UsageUsed in tech companies emphasizing system observabilityCommon in large-scale tech and cloud services
Search/Comparison IntentOften compared for monitoring rolesCompared for reliability and system stability roles

While both roles require expertise in cloud platforms and scripting, the Senior Observability Engineer primarily focuses on designing and maintaining monitoring, logging, and tracing systems to ensure system visibility. In contrast, a Site Reliability Engineer emphasizes system reliability, automation, and incident management to maintain service uptime. Both roles are vital in tech environments but serve different core functions related to system health and stability.

What are the key skills and qualifications needed to thrive as a senior observability engineer, and why are they important?

To thrive as a Senior Observability Engineer, you need expertise in monitoring, logging, and tracing systems, with a solid background in computer science or a related field. Familiarity with tools like Prometheus, Grafana, ELK stack, and cloud platforms, as well as certifications such as AWS Certified DevOps Engineer, are typically required. Strong problem-solving, collaboration, and communication skills are critical for effectively diagnosing and resolving complex infrastructure issues. These skills ensure reliable system performance, rapid incident response, and continuous improvement of the technology environment.
What are the most commonly searched types of Observability Engineer jobs in Boston, MA? The most popular types of Observability Engineer jobs in Boston, MA are:
What are popular job titles related to Senior Observability Engineer jobs in Boston, MA? For Senior Observability Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Observability Engineer jobs in Boston, MA look for? The top searched job categories for Senior Observability Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Observability Engineer jobs? Cities near Boston, MA with the most Senior Observability Engineer job openings:
Senior Observability Engineer jobs near you
Infographic showing various Senior Observability Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $137,492 per year, or $66.1 per hour.

Director, Engineering - Cloud Observability

Datadog

Boston, MA • On-site

$296K - $370K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 23 days ago

Datadog rating

9.6

Company rating: 9.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 485 rated business services

Job description

Datadog's Cloud Observability group is one of the core data retrieval and processing groups powering our foundational product, Infrastructure Monitoring. The group's scope includes integration with all major hyperscalers (AWS, Azure, GCP, OCI), as well as both regional and GPU-specific cloud providers. As Director, you will own engineering for all clouds, generating more than 10 million metric points per second, managing ~40 engineers through a team of Engineering Managers. You'll partner with Senior Directors and product leadership to shape the roadmap, not just execute against it, managing the growth of one of Datadog's foundational teams.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You'll Do:
  • Own engineering for all of Cloud Observability
  • Manage ~40 engineers through a layer of Engineering Managers; this is a manager-of-managers role
  • Shape the roadmap alongside product leadership rather than simply executing against it - push back on, iterate on, and help author the strategy for your area
  • Drive AI adoption across the engineering org, from tooling and workflows to product features and team practices
  • Navigate cross-team dependencies across the Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring.
  • Build and retain engineering talent in NYC, Boston, and Paris, mentor Engineering Managers toward Director readiness, and participate in the on-call rotation

Who You Are:
  • You have directly managed Engineering Managers, not just individual contributors
  • You have deep experience with one or more cloud providers, ideally with experience operating large-scale systems in the cloud.
  • You have a solid understanding of cloud economics, as well as how to balance performance and cost in cloud computing environments.
  • You integrate AI deeply into how you lead and how your teams build, treating AI-first thinking as core engineering practice rather than a feature bolted onto the product
  • You have a track record of shaping product decisions, not just executing against a spec
  • You have worked with large-scale, event-driven or data-intensive backend systems - ingestion pipelines, high-throughput APIs, or time-series/event data at scale
  • You are comfortable operating in English in a cross-Atlantic org, and are based in New York, Boston, or Paris.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$296,000-$370,000 USD
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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