E01-L03 Reliability Engineer IV
Quick Summary
Start Date: Immediate JHNA, CTSi, and EXPANSIA have come together to form a Defense Technology platform named Aether Aerospace focused on delivering high-impact technologies,
As a Reliability Engineer IV, you will be responsible for the availability, performance, monitoring, and incident response, among other things, of the cloud platforms and services. Ensure that everything that goes to production complies with a set of general requirements like diagrams, dependencies of other services, monitoring and logging plans, backups and possible high availability setups. Manages uncaught exceptions, hardware degradation, networking problems, high usage of resources, or slow responses that could happen at any time. Uses metrics such as mean time to recover (MTTR) and mean time to failure (MTTF). Considered an emerging authority, who applies extensive technical expertise. Develops technical solutions to complex problems. Exercises considerable latitude in determining objectives and approaches to assignment.
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Evaluate and analyze products, components, materials, and equipment to predict failures and improve reliability
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Review product designs, material specifications, and manufacturing processes to assess dependability and recommend improvements
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Create prototypes and conduct product tests to gather and analyze reliability data
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Interpret test results using statistical distributions and reliability models to recommend design changes
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Recommend modifications to product designs, manufacturing processes, and quality controls to enhance reliability
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Monitor production equipment diagnostics and review maintenance records to predict and prevent downtime
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Document findings, conduct root cause analysis, and implement corrective actions to maintain product and equipment reliability
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Collaborate with engineering and development teams to design and implement process and product improvements
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Determine maintenance requirements and schedules for products and equipment
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Review subcontractors’ proposals for reliability programs and provide evaluations for decision-making
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Assess engineering specifications and drawings, proposing design modifications to improve reliability while meeting cost and performance targets
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Observe testing at supplier, plant, or field locations to evaluate reliability factors, including causes of unit failures
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Monitor failure data generated by customer usage to determine potential requirements for product improvements
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Provide technical support to operational strategies that optimize processes, enhance productivity, and ensure quality across all program functions
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Ensure 100% of planned hours are worked and recorded
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Identify and escalate opportunities for growth within the work area to leadership
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Participate in growth initiatives as requested
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Ensure all contractual deliverables are met or exceeded to customer satisfaction
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Complete personal PDP and attend Staff Meeting and Storytime (with camera on)
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Build productive and positive professional relationships with clients within the program
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Execute all contract requirements in accordance with contract-specific LCAT and requirements
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Perform other related duties as assigned
Clearance: Active Secret Clearance
Education and Years of Experience: Bachelor's degree with 8 years of experience, or a Master’s degree with 6 years of experience
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Recognized as an emerging authority in reliability engineering with expertise in solving complex technical challenges
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Ability to develop and implement reliability solutions while exercising significant autonomy in decision-making
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Strong analytical skills for interpreting test data, conducting root cause analysis, and optimizing reliability models
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Effective problem-solving and leadership skills to drive reliability initiatives and process improvements
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Proficiency in reliability modeling, failure mode analysis, and predictive maintenance methodologies
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DoD 8570 / 8140 IAT Level II certification
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At least one cloud certification
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Experience leading reliability programs in manufacturing, aerospace, defense, or similar industries
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Familiarity with statistical analysis tools and software for reliability modeling and data analysis
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Hands-on experience with predictive maintenance techniques, performance testing, and diagnostics tools
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Knowledge of industry reliability standards, compliance requirements, and best practices
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Background in quality management systems (QMS), Six Sigma, and other process improvement methodologies
Location & Eligibility
Listing Details
- Posted
- April 7, 2026
- First seen
- April 8, 2026
- Last seen
- April 27, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- April 27, 2026
Signal breakdown
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