DecisionPoint Corporation Logo

DecisionPoint Corporation

Senior Disaster Recovery Engineer

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Designs and maintains enterprise disaster recovery architectures across cloud, application, network, and database environments. Leads DR readiness, site validation, replication, failover and failback planning, testing, runbook development, RTO/RPO validation, risk assessments, and executive reporting. Collaborates with cloud, cybersecurity, engineering, and database teams to ensure resilient architectures comply with federal and DoD requirements, including RMF controls and IL5 security standards.
The summary above was generated by AI
Overview

DecisionPoint seeks a Senior Disaster Recovery Engineer to design, implement, and maintain enterprise Disaster Recovery (DR) architectures in support of a large federal and DoD-aligned IT program. This role ensures resilience, recoverability, and operational continuity across cloud-hosted environments, applications, networks, and mission-critical databases. 

The Senior Disaster Recovery Engineer is responsible for DR strategy execution, DR site readiness, failover modeling, runbook development, and coordination with engineering, cloud, cybersecurity, and database teams. This position plays a key role in achieving mission continuity and ensuring alignment with federal and DoD DR requirements. 

This position is fully remote. 

Duties & Responsibilities

The Senior Disaster Recovery Engineer will: 

  • Design, architect, and maintain Disaster Recovery solutions for cloud, application, network, and database environments. 
  • Lead DR readiness activities, including validation of secondary sites, replication models, and failover configurations. 
  • Develop and maintain detailed DR runbooks, procedures, and technical documentation. 
  • Coordinate DR failover planning, including tabletop exercises, simulation testing, and execution of failback strategies. 
  • Support Recovery Time Objective (RTO) and Recovery Point Objective (RPO) validation across all systems. 
  • Work closely with cloud engineering teams to design resilient architectures leveraging cloud-native DR capabilities. 
  • Coordinate with database administrators to ensure backup integrity, replication accuracy, and HA/DR compliance. 
  • Collaborate with cybersecurity teams to ensure DR approaches align with RMF controls and IL5 security requirements. 
  • Perform DR risk assessments, identify gaps, and recommend mitigation plans. 
  • Provide DR status reporting, readiness summaries, and executive briefings. 
  • Support continuous improvement efforts for DR architectures, tools, and testing strategies. 
Qualifications

Clearance Requirement 

Must hold an active Top Secret clearance, supported by a Tier 5 background investigation. 


Education (Required) 

Bachelor’s degree in Information Technology, Computer Science, Cloud Engineering, or a related field. 


Experience (Required) 

  • Minimum 10 years of experience in disaster recovery engineering, systems engineering, cloud infrastructure, or enterprise IT operations. 
  • Experience designing DR architectures for cloud, application, networking, and database systems. 
  • Experience coordinating failover/failback procedures and DR testing activities. 
  • Experience collaborating with engineering, security, and database teams on DR readiness. 
  • Experience supporting DR efforts in federal or DoD environments preferred. 

Technical Knowledge (Required) 

  • Strong knowledge of DR frameworks, HA/DR design patterns, and system resiliency strategies. 
  • Experience with cloud-native DR tools, replication, snapshots, backups, and multi-region architecture. 
  • Understanding of IL5 security requirements, RMF controls, and DoD continuity expectations. 
  • Proficiency with system monitoring, logging, and performance analysis tools. 
  • Knowledge of network dependencies, load balancing, and failover routing. 

Technical Knowledge (Preferred) 

  • Experience with automation, scripting, or orchestration tools to support DR workflows. 
  • Familiarity with CI/CD pipelines, Infrastructure as Code (IaC), and DevSecOps environments. 
  • Experience supporting DR environments using AWS, Azure, or hybrid cloud. 

Certifications 

Required: 

  • CompTIA Security+ 
  • ITIL v4 Foundation 

Preferred: 

  • AWS, Azure, or cloud architecture certifications 
  • Disaster recovery or business continuity certifications 

Skills 

  • Strong problem solving and analytical abilities for complex DR scenarios. 
  • Excellent communication skills for cross-team coordination and executive reporting. 
  • Strong documentation skills for creating detailed runbooks and DR procedures. 
  • Ability to lead DR testing activities and manage technical readiness efforts. 
  • Attention to detail and commitment to enterprise resilience. 

Our Equal Employment Opportunity Policy
  • EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws.
  • Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
  • Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Similar Jobs

6 Minutes Ago
Remote or Hybrid
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads an engineering team developing autonomous vehicle evaluation platforms, metrics, workflows, dashboards, and analysis tools for simulation and on-road testing. Sets technical direction, guides statistical and machine learning evaluation methods, oversees performance analysis across perception, prediction, and planning, and supports release gating and risk assessment. Responsibilities include hiring, coaching, architectural decisions, cross-functional collaboration, code quality, observability, and translating system-level results into actionable engineering and leadership insights.
Top Skills: C++LlmsNumpyPandasPythonPyTorchRosScipySQLVlms
6 Minutes Ago
Remote or Hybrid
251K-385K Annually
Senior level
251K-385K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the safety strategy, validation methodology, and safety case for Level 3–4 autonomous driving systems. Define ODDs, behavior evaluation criteria, safety metrics, sufficiency criteria, and launch targets. Assess AV performance using simulation, closed-course, and public-road data, applying SOTIF, ISO 5083, and AVSC practices. Provide technical leadership across AI/ML, software validation, simulation, metrics, and vehicle program teams while influencing executives and cross-functional stakeholders.
Top Skills: Ai PlatformAmazon S3AvscAWSAzure Data LakeAzure Machine LearningBedrockBigQueryClusteringDatabricksDataflowDecision TreesDeep LearningDockerGenerative AiGitGoogle Cloud PlatformIso 21448Iso 5083JavaJIRAKubernetesLangchainLarge Language ModelsAzureMlflowNatural Language ProcessingNumpyPandasPower BIPysparkPythonPyTorchRRandom ForestReinforcement LearningRetrieval-Augmented GenerationSagemakerScikit-LearnSQLSvmTableauTensorFlowXgboost
6 Minutes Ago
Remote or Hybrid
Entry level
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead end-to-end machine learning development for autonomous driving, including data curation, foundation-model pre-training, post-training, fine-tuning, alignment, and deployment. Build scalable pipelines using real and synthetic datasets, apply imitation and reinforcement learning, improve model safety and reliability, collaborate across teams, lead technical initiatives, and mentor ML engineers.
Top Skills: SparkNumpyPandasPythonPyTorch

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account