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Remote Observability Engineer Jobs in Baltimore, MD

DevOps Engineer

Towson, MD · Remote

$100K - $120K/yr

... remote environment. Nice to Have: * AWS Certifications (e.g., Solutions Architect, DevOps Engineer). * Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry)

Site Reliability Engineer

Columbia, MD · On-site +1

$55.50 - $73.75/hr

Hybrid Columbia MD 3 times per week OR Remote (as applicable to role) Work Authorization ... This role is responsible for implementing observability and automation practices, supporting ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) * Comprehensive ...

Senior Site Reliability Engineer

Baltimore, MD · On-site +1

$160K - $240K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Demonstrable knowledge of Observability tools (New Relic, Splunk, DataDog) * Comprehensive ...

Senior Mobile Engineer

Baltimore, MD · Remote

$140K - $150K/yr

This role is not eligible for relocation, visa sponsorship, or fully remote work.*** What You'll ... Supporting experimentation, feature flagging, observability, and release management. * Creating ...

Senior Software Engineer II

Annapolis, MD · On-site +1

$197K - $232K/yr

Remote Department Engineering Compensation: $197.4K - $232K • Offers Equity At Confluent, we are ... Improve service reliability and operations by defining SLOs/SLAs, strengthening observability, and ...

Senior AI/ML Engineer

Annapolis, MD · On-site +1

$103K - $142K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... Experience with A/B testing and telemetry/observability systems to measure impact and reliability.

Senior Software Engineer

Hanover, MD · Remote

$121K - $160K/yr

We're a remote-first culture with operations in North America, Europe, the Middle East, and APAC ... Experience with observability tools (Prometheus, Grafana, ELK stack, or similar) is helpful.

We're a remote-first culture with operations in North America, Europe, the Middle East, and APAC ... observability, and sane failure modes. * Evaluate open-source and third-party models for fit ...

Software Engineer 3 - 795

Hanover, MD · On-site +1

$78K - $275K/yr

... observability) * Mentor junior engineers and review code for reliability, clarity, and best ... Flexible work arrangements, including remote work options * Flexible Spending Accounts (FSAs)

Software Engineer 3 - 860

Hanover, MD · On-site +1

$78K - $275K/yr

... observability) * Mentor junior engineers and review code for reliability, clarity, and best ... Flexible work arrangements, including remote work options * Flexible Spending Accounts (FSAs)

Software Engineer 3 - 860

Hanover, MD · On-site +1

$78K - $275K/yr

... observability) * Mentor junior engineers and review code for reliability, clarity, and best ... Flexible work arrangements, including remote work options * Flexible Spending Accounts (FSAs)

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Proficient in scripting for automation and observability such as Bash, Python, or similar scripting ...

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Showing results 1-20

Remote Observability Engineer information

See Baltimore, MD salary details

$37.8K

$115.1K

$190.3K

How much do remote observability engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote observability engineer in Baltimore, MD is $115,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What are the typical collaboration patterns for a Remote Observability Engineer working with distributed teams?

Remote Observability Engineers frequently collaborate with software developers, DevOps teams, and IT operations to ensure systems are monitored effectively and issues are detected early. Working remotely, you'll often use communication tools like Slack, Jira, and video conferencing to coordinate incident response, discuss monitoring strategies, and review system health dashboards. Regular sync meetings and asynchronous updates are common, and you'll likely contribute to documentation and knowledge sharing to keep all stakeholders informed. Building strong communication habits is important, as much of the troubleshooting and improvement work hinges on clear coordination with multiple teams.

What are the key skills and qualifications needed to thrive as a Remote Observability Engineer, and why are they important?

To thrive as a Remote Observability Engineer, you need strong expertise in monitoring, logging, and tracing systems, along with a background in computer science or related technical fields. Familiarity with tools like Prometheus, Grafana, ELK Stack, Datadog, and cloud platforms is typically required, as well as relevant certifications such as AWS Certified Cloud Practitioner or Google Cloud Professional DevOps Engineer. Excellent problem-solving abilities, communication skills, and a proactive mindset help you detect and resolve issues before they impact users. These competencies ensure system reliability, enable rapid incident response, and support seamless collaboration in distributed environments.

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

AspectRemote Observability EngineerSite Reliability Engineer
CredentialsKnowledge of monitoring tools, scripting, cloud platformsSame as Observability Engineer, plus SRE certifications often preferred
Work EnvironmentFocus on monitoring, logging, and tracing systems remotelyBroader scope including system reliability, incident response, and automation
Industry UsagePrimarily in tech, SaaS, cloud servicesWidely in tech, finance, and large-scale online services

The Remote Observability Engineer specializes in monitoring and analyzing system performance remotely, focusing on tools like logs and metrics. In contrast, the Site Reliability Engineer has a broader role, ensuring overall system reliability, automation, and incident management. While both roles require similar technical skills, SREs often have additional responsibilities related to system resilience and scalability.

What is a Remote Observability Engineer?

A Remote Observability Engineer is a professional responsible for designing, implementing, and maintaining systems that monitor the health, performance, and reliability of software applications and infrastructure from a remote location. They use observability tools to collect and analyze logs, metrics, and traces, helping organizations quickly detect and resolve issues. Their work ensures that distributed systems are transparent, reliable, and efficient, often collaborating with development, operations, and security teams. Remote Observability Engineers often work from anywhere, leveraging cloud-based tools and platforms to manage complex IT environments.
What are popular job titles related to Remote Observability Engineer jobs in Baltimore, MD? For Remote Observability Engineer jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Observability Engineer jobs in Baltimore, MD look for? The top searched job categories for Remote Observability Engineer jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Observability Engineer jobs? Cities near Baltimore, MD with the most Remote Observability Engineer job openings:
Infographic showing various Remote Observability Engineer job openings in Baltimore, MD as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $115,127 per year, or $55.3 per hour.

DevOps Engineer

Archesys Inc

Towson, MD • Remote

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Location: This is a remote position.

Residency Requirement: Candidates MUST have lived in the U.S. for at least 3 of the past 5 years and be authorized to work in the U.S. (Citizen, Permanent Resident, or EAD).

Sponsorship: This position does not offer any type of sponsorship. Candidates must already be authorized to work in the U.S. (e.g., Citizen, Permanent Resident, or EAD).

Clearance: Public Trust Clearance (or ability to obtain)

Archesys is a technology firm specializing in innovative cloud solutions and services for clients across various industries. We pride ourselves on cutting-edge technologies, exceptional customer service, and a collaborative work environment.

This is a fully remote, full-time position.

We’re looking for a mid to senior-level DevOps Engineer to strengthen our end-to-end delivery and operational capabilities across CI/CD automation, build and release engineering, container security, AWS cloud enablement, and reliability tooling. This role is also highly hands-on and innovation-driven: you’ll regularly prototype new DevOps and cloud automation approaches, validate them quickly, and turn successful prototypes into reusable standards (shared pipeline modules, secure base artifacts, and repeatable infrastructure/patterns). You’ll integrate quality and security controls using tools like JFrog Artifactory/Xray, SonarQube, GitHub, Grafana, and optionally Datadog/New Relic, while building Python-based automation that reduces toil and improves consistency across environments—including AWS services such as RDS, Glue, and QuickSight.

Key Responsibilities:

DevOps Integration & CI/CD Pipelines:

  • Design, implement, and maintain robust CI/CD pipelines using Jenkins, including Shared libraries/reusable modules to standardize delivery patterns.
  • Build automated workflows for build, test, security scanning, artifact publishing, and deployment, including environment promotion strategies.
  • Integrate CI/CD with GitHub (branching strategy, PR checks, release tagging) and enforce best practices through templates and guardrails.
  • Implement and maintain semantic versioning practices for pipelines, artifacts, and container images to ensure traceability and prevent overwrite.

Containerization & Secure Gold Image Patterns:

  • Build, maintain, and continuously improve Docker base “gold images” (minimal, hardened, patched) used across engineering teams.
  • Apply container best practices: image hygiene, least privilege, dependency pinning, SBOM awareness, and secure defaults.
  • Establish an image lifecycle model (build → scan → sign/promote → deprecate) and automate patching and rebuild workflows.
  • Artifact Management & Supply Chain Security (JFrog)
  • Manage artifact workflows using JFrog Artifactory (repository structure, promotion, retention, access control).
  • Partner with teams to remediate findings efficiently and improve overall supply chain posture over time.
  • Build and maintain automation using Docker Templates for deploying a new version of gold images for existing images.

Cloud Infrastructure Development & Management:

  • Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight.
  • Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows.
  • Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations.
  • Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline .

DevOps Tooling, Quality Gates, and Observability:

  • Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD.
  • Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic.
  • Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks.

Cloud Infrastructure Development & Management:

  • Build automation and operational patterns across AWS services, including RDS, Glue, and QuickSight.
  • Develop and maintain Python tooling to automate cloud operations, validations, deployments, and reporting workflows.
  • Improve platform reliability and repeatability through automated provisioning patterns and standardized configurations.
  • Build and deploy AWS resources using Terraform, and deployment using CI/CD pipeline .

DevOps Tooling, Quality Gates, and Observability:

  • Integrate and operationalize SonarQube quality gates (coverage thresholds, code smells, vulnerability checks) within CI/CD.
  • Support and extend observability integrations with Grafana (dashboards/alerts, operational visibility), and optionally Datadog/New Relic.
  • Collaborate with engineering and SRE stakeholders to reduce toil, improve incident readiness, and standardize runbooks.

Security & Compliance:

  • Implement and manage security controls, ensuring system integrity and compliance with industry standards and organizational policies.
  • Work closely with the security team to monitor for vulnerabilities and implement necessary patches and updates.
  • Support compliance initiatives by adhering to established IT policies and guidelines.

Collaboration & Documentation:

  • Collaborate with cross-functional teams to develop cohesive and innovative solutions.
  • Create and maintain comprehensive documentation outlining system architecture, procedures, and best practices.
  • Document procedures, configurations, and specifications, ensuring that knowledge is effectively shared across the team.
  • Contribute to the maintenance of a knowledge base to facilitate continuous learning and team development.
  • Collaborate closely with cross-functional teams to understand their needs and develop solutions accordingly.
  • Participate in knowledge-sharing sessions to enhance team skills and expertise.
  • Assist in the creation and maintenance of technical documentation, including system designs, configurations, and procedures.

Professional Development:

  • Continuously learn and keep up to date with emerging technologies and best practices in the cloud and DevOps space.
  • Take part in internal and external training to develop the necessary skills and knowledge for career growth.


Qualifications:

Educational Background & Experience:

  • Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent practical experience.
  • 4–8+ years’ experience in DevOps / Platform Engineering / CI/CD / Cloud Engineering (mid to senior level).
  • Strong hands-on expertise in Jenkins, including Jenkins Shared Libraries and reusable pipeline modules.
  • Strong knowledge of Docker and container fundamentals (container OS concepts, layering, caching, base image strategies).
  • Hands-on experience with JFrog Artifactory and JFrog Xray (policies, scanning, governance, promotion workflows).
  • Infrastructure as Code experience (Terraform / CloudFormation / Ansible).
  • Strong understanding of semantic versioning and release management discipline.
  • Solid experience with AWS and familiarity with RDS, Glue, and QuickSight.
  • Proficiency in Python for automation, tooling, and integrations.
  • Experience with DevOps tools such as GitHub, SonarQube, and Grafana.
  • Strong communication skills; comfortable collaborating in a fully remote environment.

Nice to Have:

  • AWS Certifications (e.g., Solutions Architect, DevOps Engineer).
  • Experience with other observability tools (e.g., Datadog, New Relic, OpenTelemetry).
  • Contributions to open-source projects related to Grafana or observability.
  • Kubernetes/ECS/EKS experience (helpful but not required).
  • Experience in compliance-driven environments (e.g., secure baselines, audit evidence, change control).

Personal Attributes:

  • Excellent problem-solving abilities and analytical thinking.
  • Strong communication skills with the ability to articulate complex technical concepts clearly.
  • A collaborative mindset, able to work effectively in team environments and contribute to knowledge sharing and best practices.


Additional Requirements:
  • A willingness to continually learn and adapt to the evolving technology landscape.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.

All work must be conducted within the U.S., excluding U.S. territories. Some federal contracts require U.S. citizenship to be eligible for employment.

You must be legally authorized to work in the U.S. now and in the future without sponsorship.

As the US Government is our clientele, you may be required to obtain a public trust or security clearance.

Some of our available roles are on federal contracts that require a degree or additional years of experience as a substitute.

What We Offer:

  • Competitive salary and benefits package, including health, dental, and vision insurance, retirement plan, and generous paid time off.
  • Opportunity to work with a talented team of professionals on exciting and innovative projects.
  • Flexible work arrangements, including remote work options.
  • Continuous learning and development opportunities, including access to training resources and professional development programs.
  • A collaborative, inclusive work environment that values diversity and encourages growth.


Join us at Archesys and be part of a team dedicated to delivering cutting-edge solutions for clients in the public sector. Your expertise and passion for technology will help us continue to innovate and grow. We look forward to welcoming you to our team and supporting your success as an DevOps Engineer.

Archesys participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Archesys is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from all qualified candidates, regardless of race, color, religion, sex.