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Network Observability Jobs in Boston, MA (NOW HIRING)

Boston Dynamics

Staff DevOps Engineer

Waltham, MA · On-site

$118K - $150K/yr

Deep proficiency in observability for distributed systems, specifically diagnosing and resolving performance bottlenecks that span both hybrid cloud and physical network layers. The base pay range ...

Bostondynamics

Staff DevOps Engineer

Waltham, MA · Hybrid

$118K - $150K/yr

Deep proficiency in observability for distributed systems, specifically diagnosing and resolving performance bottlenecks that span both hybrid cloud and physical network layers. The base pay range ...

Sea Machines

Product Security Engineer

Boston, MA · On-site

... observability platforms such as Datadog, including alerting on anomalous network and application behavior • Integrate security gates into CI/CD pipelines (Jenkins), working with development teams ...

Sea Machines

Product Security Engineer

Boston, MA · On-site

... observability platforms such as Datadog, including alerting on anomalous network and application behavior ● Integrate security gates into CI/CD pipelines (Jenkins), working with development teams ...

Akamai

Senior II Site Reliability Engineer

Cambridge, MA · On-site

$62.25 - $82.75/hr

... observability platforms from scratch, and running incident management processes at scale * Demonstrate expertise in Kubernetes and containerization at scale including workload scheduling, networking ...

IonQ

Senior Research Software Engineer

Boston, MA · On-site

$133K - $175K/yr

... networking, computing, and sensing. You will play a pivotal role in shaping our software architecture, driving SDLC best practices, improving system stability and observability, and mentoring a ...

Motion Recruitment

Azure Cloud Engineer

Boston, MA · On-site

$60.75 - $81.25/hr

The team is actively modernizing its platform and investing in new tooling, observability, and ... Solid networking fundamentals (DNS, TLS, VPNs, firewalls, load balancing) * Experience with Git ...

IonQ

Senior Research Software Engineer

Boston, MA

$145K - $191K/yr

... networking, computing, and sensing. You will play a pivotal role in shaping our software architecture, driving SDLC best practices, improving system stability and observability, and mentoring a ...

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All JobsNetwork Observability JobsNetwork Observability Jobs in Boston, MA

Network Observability information

What is network observability?

Network observability refers to the ability to gain deep visibility into all aspects of a computer network’s operations, performance, and health. It involves collecting and analyzing data from various sources such as logs, metrics, and traces to detect issues, optimize performance, and ensure security. Unlike traditional monitoring, observability provides insights into the underlying causes of network problems, enabling faster troubleshooting and proactive management. Network observability tools help organizations maintain reliable, secure, and efficient network infrastructure, which is especially important in complex or large-scale environments.

What is the difference between Network Observability vs Network Monitoring?

AspectNetwork ObservabilityNetwork Monitoring
FocusProvides comprehensive insights into network performance, health, and security through data collection, analysis, and visualization.Tracks network uptime, availability, and basic performance metrics to detect outages or issues.
Tools & SkillsUses advanced analytics, telemetry, and machine learning; requires knowledge of data analysis and network architecture.Utilizes monitoring tools like SNMP, ping, and simple dashboards; requires basic network troubleshooting skills.
PurposeEnables proactive troubleshooting, capacity planning, and security analysis by understanding complex network behaviors.Provides real-time alerts and status updates to quickly identify and resolve network issues.

While both roles focus on network health, Network Observability offers a deeper, data-driven understanding of network behavior, supporting proactive management. Network Monitoring is more about real-time detection of outages and basic performance tracking. Organizations often use both to ensure robust network performance and security.

What are some common challenges faced by professionals in network observability roles, and how can they be addressed?

Professionals in Network Observability often face challenges like managing large volumes of network data, integrating diverse monitoring tools, and quickly identifying the root cause of network issues. Addressing these challenges typically involves automating data collection, leveraging advanced analytics, and fostering close collaboration with network engineers and security teams. Staying updated with the latest observability platforms and best practices can also help streamline workflows and improve network performance monitoring.

What are the key skills and qualifications needed to thrive in network observability, and why are they important?

To excel in Network Observability, you need a strong understanding of networking fundamentals, troubleshooting, and data analysis, often supported by a degree in computer science or a related field. Familiarity with monitoring tools like Wireshark, Datadog, Grafana, and knowledge of protocols such as SNMP and NetFlow, as well as relevant certifications (e.g., Cisco CCNA/CCNP), are typically required. Strong problem-solving, attention to detail, and communication skills help professionals quickly identify issues and work with cross-functional teams. These competencies are essential for ensuring network reliability, performance, and rapid incident response in complex IT environments.
What are popular job titles related to Network Observability jobs in Boston, MA? For Network Observability jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Network Observability jobs in Boston, MA look for? The top searched job categories for Network Observability jobs in Boston, MA are:
Network Observability jobs near you

Staff DevOps Engineer, Software, Product Operations

Lila Sciences

Cambridge, MA • On-site

$192K - $272K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 9 days ago

Job description

Your Impact at LILA
The Staff/Principal DevOps Engineer will drive the design, implementation, and optimization of our infrastructure and delivery platforms. This role bridges platform engineering, site reliability, and DevOps practices, building scalable, automated systems that enable fast, reliable software delivery across cloud and Kubernetes environments. You will collaborate with software engineers, lab scientists, and ML engineers to build infrastructure that powers automated scientific analysis, experiment orchestration, and more.
What You'll Be Building
  • Build Kubernetes-based systems supporting scientific services, ML pipelines, and platform workloads; including production hardening, RBAC, network policies, and Pod Security Standards
  • CI/CD pipelines with GitHub Actions/GitLab CI implementing best practices: build attestations, SBOM generation, dependency scanning, and container image hardening
  • Infrastructure-as-code with Terraform and Helm; policy-as-code guardrails (OPA/Kyverno/Checkov) with drift detection
  • AWS cloud infrastructure: EKS clusters, IAM least privilege, VPC/PrivateLink networking, KMS/Secrets Manager, ECR, S3, and centralized logging/monitoring
  • Platform tooling to streamline deployment, observability, and developer workflows, enabling self-service with secure defaults
  • Reliability engineering: SLOs/SLIs, incident response, capacity planning, and performance optimization throughout the stack
  • Software supply chain practices: artifact signing, registry governance and vulnerability management
  • QA and testing infrastructure: static analysis and code quality gate enforcement in CI pipelines, automated end-to-end and browser-based regression test suites, ephemeral test environments for PR-based validation, and pre-merge quality checks
  • Automation and tooling in Python or Go to improve infrastructure operations and integrate telemetry with observability platforms

What You'll Need to Succeed
  • Expertise in DevOps, SRE, Systems Engineering, or Platform Engineering in large scale cloud environments
  • Expertise in deploying to cloud environments (AWS, GCP, etc) using infrastructure-as-code (Terraform, Helm) and containerization
  • Deep experience with CI/CD systems (GitHub Actions, GitLab CI, or Jenkins) and GitOps practices
  • Strong proficiency in Python/scripting languages for automation and tooling
  • Strong understanding of Kubernetes operations: deployments, networking, storage, observability, and troubleshooting

Bonus Points For
  • SRE practices: observability platforms, chaos engineering, incident management
  • Securing ML/AI pipelines (model registries, training clusters, inference gateways)
  • Experience in regulated/audit-heavy environments (SOC 2, ISO 27001)
  • Supply chain security maturity: SBOMs, image signing, SLSA concepts
  • Administering static analysis platforms (custom quality profiles, security hotspot triage) and scaling browser-based test suites across parallel CI environments
  • Prior startup/high-growth experience balancing velocity with reliability

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$192,000-$272,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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