1

Contractual Observability Engineer Jobs in Virginia

... contractual obligations, or company policies. Any such changes will be communicated in advance ... AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code ...

Linux Systems Engineer

Springfield, VA · On-site

$159K - $216K/yr

Support the development of dashboards using observability solutions using tools such as Grafana and ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

Observability & Incident Response • Drive distributed tracing adoption using OpenTelemetry with ... contractual SLA/SLO obligations. • Certifications: CKA/CKAD, Azure Administrator/Architect, ITIL ...

New

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

Develop monitoring and observability components for LLM-based applications, including metrics ... limited to geographic location, contractual requirements, education, knowledge, skills ...

LLMOps Engineer

Mclean, VA · On-site

$115K - $145K/yr

Develop monitoring and observability components for LLM-based applications, including metrics ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Develop monitoring and observability components for LLM-based applications, including metrics ... limited to geographic location, contractual requirements, education, knowledge, skills ...

VDI EUC Engineer

Newington, VA · On-site

$148K - $201K/yr

Utilize monitoring and observability tools to proactively identify and resolve infrastructure ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

Systems Engineer - TS/SCI w/ Poly

Herndon, VA · On-site +1

$162K - $219K/yr

Monitoring/observability tools (Prometheus, Grafana, Splunk, ELK, CloudWatch) * Ability to produce ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

VDI EUC Engineer

Newington, VA · On-site

$83K - $113K/yr

Utilize monitoring and observability tools to proactively identify and resolve infrastructure ... Rather, salary will be set based on experience, geographic location and possibly contractual ...

AI Developer

Mclean, VA

$140K - $190K/yr

Observability and logging experience for LLM pipelines - LangSmith, Arize, or equivalent ... limited to geographic location, contractual requirements, education, knowledge, skills ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Observability and logging experience for LLM pipelines - LangSmith, Arize, or equivalent ... limited to geographic location, contractual requirements, education, knowledge, skills ...

AI Developer

Mclean, VA

$140K - $190K/yr

Observability and logging experience for LLM pipelines -- LangSmith, Arize, or equivalent ... limited to geographic location, contractual requirements, education, knowledge, skills ...

Negotiate pricing and contractual terms as required to close the sale * Accurately forecast ... or developer-centric infrastructure company. * Familiarity with observability (logs, metrics ...

Contractual Observability Engineer information

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

AspectContractual Observability EngineerSite Reliability Engineer
Primary FocusImplementing observability tools, monitoring, and logging systemsEnsuring system reliability, scalability, and performance
Skills & CertificationsMonitoring tools, scripting, cloud platformsSystems engineering, automation, incident management
Work EnvironmentDevOps teams, cloud environments, monitoring platformsOperations teams, production systems, automation tools
Industry UsageTech companies, SaaS providers, cloud servicesLarge-scale tech firms, internet services, cloud providers

While both roles involve technical expertise in cloud and systems, a Contractual Observability Engineer primarily focuses on implementing and maintaining observability tools, whereas a Site Reliability Engineer emphasizes system reliability and performance. Understanding these differences helps organizations assign the right responsibilities and skills to each role.

What are the most commonly searched types of Observability Engineer jobs in Virginia? The most popular types of Observability Engineer jobs in Virginia are:
What are popular job titles related to Contractual Observability Engineer jobs in Virginia? For Contractual Observability Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Contractual Observability Engineer jobs in Virginia look for? The top searched job categories for Contractual Observability Engineer jobs in Virginia are:
What cities in Virginia are hiring for Contractual Observability Engineer jobs? Cities in Virginia with the most Contractual Observability Engineer job openings:
AI Engineer

AI Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 28 days ago


Job description

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients. Through our VITAL Innovation Lab, we invest heavily in research and development to anticipate mission needs and deliver cutting edge solutions.
This position is currently remote; however, in accordance with federal contract requirements and company policy, there may be future changes to work location expectations. Candidates should be prepared for the possibility of a return to the office, either partially or fully, based on client directives, contractual obligations, or company policies. Any such changes will be communicated in advance.
Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
The AI Engineers will design and deliver production AI systems across our commercial platform
work and our federal modernization programs. This is a hands-on builder role on a small, senior team. Engineers
own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment. You will be expected to make sound technical calls under federal compliance, security, and procurement constraints.
Requirements:
  • Education: Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master's is a bonus.
  • Experience: 1-3years of professional experience building and shipping ML or NLP systems, including focus on LLM based or GenerativeAI solutions.
  • Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React).
  • Hands-on integration of LLMs into real applications - streaming, tool / function calling, token accounting, and failure handling - across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI.
  • Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails.
  • Solid relational data modeling on PostgreSQL with an async ORM and migration tooling.
  • AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideallyTerraform.
  • Practical understanding of OAuth / OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design.
  • Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication.

Preferred Skills
  • Federal program exposure: NIST 800-53, FedRAMP, FISMA, ATO process, or agency-specific data-handling requirements.
  • Experience with Keycloak or another OIDC provider, RLS-based multi-tenancy, or zero-trust application design.
  • Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.
  • Document AI / OCR pipelines and modernization of legacy enterprise workflows.
  • Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience.
  • Supply-chain hardening: SBOMs, dependency scanning, signed builds, threat modeling.