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Contract Reliability Engineer Jobs in Alabama (NOW HIRING)

Reliability Electrician V

Andalusia, AL · On-site

$25 - $32.25/hr

... programming, and improvement initiatives of PLC's, HMI's, VFD's, and controls for plant equipment ... AndersonTuftex,COREtec, Shaw Floors,Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports ...

Genesis10 is currently seeking an Ansible Engineer for a contract position with a Major Financial ... reliability • Collaborate with cross-functional teams to implement automation strategies • ...

Pelham, AL, 35124 Contract: 3 Years Client: Alabama Power Position Overview We are seeking a ... Evaluate system performance and identify opportunities for reliability improvements. * Support ...

Senior (10+ Years) Contract- 1 Year Client- Southern Nuclear Job Summary We are seeking a highly ... reliability. * Participate in design reviews and maintain quality control through engineering ...

Birmingham, AL Employment Type: Full-Time or Contract Experience Level: 5 - 30+ years Company ... reliability improvements based on operational feedback. Qualifications * Bachelor's degree in ...

Develop standards for equipment to improve reliability, inventory control of critical equipment ... Ability to prepare and manage contracts with outside vendors and a working knowledge of ...

Develop standards for equipment to improve reliability, inventory control of critical equipment ... Ability to prepare and manage contracts with outside vendors and a working knowledge of ...

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Contract Reliability Engineer information

See Alabama salary details

$55.3K

$106.9K

$127.8K

How much do contract reliability engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for contract reliability engineer in Alabama is $106,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $116,900.00 per year, depending on experience, location, and employer.

What is a Contract Reliability Engineer job?

A Contract Reliability Engineer is a professional hired on a temporary or project basis to ensure the reliability, availability, and maintainability of systems, equipment, or processes. They analyze failure data, perform root cause analysis, and implement strategies to improve system performance. This role often involves collaborating with maintenance teams, design engineers, and operations personnel to optimize asset life and reduce downtime. Contract roles may vary in duration and scope, depending on the project's needs.

What are the key skills and qualifications needed to thrive in the Contract Reliability Engineer position, and why are they important?

To thrive as a Contract Reliability Engineer, you need a strong background in reliability engineering principles, statistical analysis, and mechanical or electrical systems, often supported by an engineering degree and relevant project experience. Familiarity with reliability software (such as Weibull analysis tools), FMEA, and certifications like Certified Reliability Engineer (CRE) are highly valued. Exceptional communication, problem-solving, and project management skills are important for collaborating with cross-functional teams and clearly conveying technical findings. These abilities are essential for ensuring equipment reliability, minimizing downtime, and delivering measurable value to clients on a contractual basis.

What are the typical projects or responsibilities for a Contract Reliability Engineer?

As a Contract Reliability Engineer, your responsibilities usually revolve around conducting reliability assessments, analyzing failure data, and implementing preventative maintenance strategies for client equipment or systems. You might be tasked with performing root cause analysis, recommending design improvements, and supporting maintenance teams in optimizing asset performance. Projects can vary widely by industry but often involve collaborating with operations, quality, and engineering teams to identify reliability risks and drive continuous improvement. This dynamic role provides the opportunity to work on diverse assignments, enhance problem-solving skills, and make a tangible impact on client operations.

What are the most commonly searched types of Reliability Engineer jobs in Alabama? The most popular types of Reliability Engineer jobs in Alabama are:
What are popular job titles related to Contract Reliability Engineer jobs in Alabama? For Contract Reliability Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Contract Reliability Engineer jobs in Alabama look for? The top searched job categories for Contract Reliability Engineer jobs in Alabama are:
What cities in Alabama are hiring for Contract Reliability Engineer jobs? Cities in Alabama with the most Contract Reliability Engineer job openings:
Senior Elastic Stack Data Integration Engineer - DOD

Senior Elastic Stack Data Integration Engineer - DOD

Innovim

Huntsville, AL

$116K - $154K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago


Job description

Senior Elastic Stack Data Integration Engineer - DOD

INNOVIM is seeking a Senior Elastic Stack Data Integration Engineer supports the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract.

The Senior Elastic Stack Data Integration Engineer will serve as the primary technical authority for designing, building, and maintaining data ingestion pipelines supporting Elastic SIEM. This role focuses on creating scalable, resilient Logstash architectures; developing advanced pipeline logic; normalizing, enriching, and transforming security telemetry; and ensuring reliable delivery of high-fidelity data to Elasticsearch.

Location: Schriever Space Force Base, Colorado Springs, CO or Redstone Arsenal, Huntsville, AL Relocation Assistance: None available at this time Remote/Telework: NO - Not available for this position Clearance Type: DoD Secret Shift: Day shift Position Closes: 6/10/26 Key Responsibilities:

  • Architect, build, and maintain Logstash pipelines to ingest and transform logs from diverse systems, including network devices, servers, cloud services, and security platforms.
  • Implement parsing, grok patterns, JSON transformations, conditional routing, enrichment logic, and ECS mapping.
  • Optimize pipeline performance, resiliency, and scalability (e.g., persistent queues, pipeline workers, memory tuning, load balancing).
  • Ensure all ingested data aligns to ECS (Elastic Common Schema) or internal schema requirements.
  • Implement data enrichment workflows (GeoIP, threat intel lookups, metadata injection).
  • Validate data completeness, integrity, and fidelity across ingestion flows.
  • Maintain and optimize Logstash clusters, including version management, scaling, tuning, and high-availability configurations.
  • Manage integrations with Beats, Elastic Agent, Kafka, syslog endpoints, and custom data collectors.
  • Monitor ingestion throughput, latency, and error rates; implement proactive alerting and troubleshooting processes.
  • Create and maintain technical documentation, including pipeline diagrams, data flow maps, runbooks, and schema references.
  • Establish enterprise standards for parsing, enrichment, normalization, and ingestion patterns.
  • Support internal and external audits by documenting data handling flows and pipeline logic.
  • Work closely with SIEM integration engineers to align pipelines with customer environments and logging requirements.
  • Partner with detection engineering teams to ensure data supports analytic coverage and rule development.
  • Collaborate with infrastructure and platform operations for deployment, scaling, and reliability engineering.

The successful candidate will have:

  • Demonstrated ability to work independently, drive pipeline architecture decisions, and mentor junior engineers.
  • Strong documentation, workflow diagramming, and communication skills.
  • Deep command of Logstash architecture, patterns, and performance optimization.
  • Mastery of parsing, enrichment, normalization, and ECS alignment.
  • Strong understanding of network protocols, logging patterns, and telemetry generation from enterprise systems.
  • Advanced troubleshooting skills across data ingestion, pipeline logic, and Elastic Stack processing layers.
  • Capability to design scalable, HA ingestion workflows with clear operational boundaries.
  • Ability to conduct data modeling, schema design, and transformation mapping.
  • Effective at interfacing with multiple teams, gathering requirements, and aligning pipeline designs with SIEM analytics needs.
  • Focused on reliability, maintainability, and observability across all pipeline components.
  • Strong attention to detail and a disciplined approach to documentation, versioning, and configuration management.

Basic Requirements:

  • Must have 10, or more, years of general (full-time) work experience. May be reduced with completion of advanced education
  • Must have 5, or more, years of experience in log ingestion, data engineering, or SIEM pipeline development.
  • Must have 2, or more, years of experience in a lead or senior role, mentoring and guiding other team members.
  • Must have a strong background in Elastic Stack components (Elasticsearch, Kibana, Beats, Elastic Agent).
  • Must have experience with data ingestion, processing, and enrichment techniques.
  • Must have hands-on experience ingesting, processing, and normalizing diverse log types (Windows events, syslog, firewall logs, cloud telemetry, security tooling).
  • Must be proficient with Linux administration, system-level debugging, and CLI-based operations.
  • Must have a DoD 8570.01-M IAT Level II certification with Continuing Education (CE) - (CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP)
  • Must have an active DoD Secret Security Clearance
  • Must be able to obtain an active DoD Top Secret Security Clearance

Desired Requirements:

  • Be an Elastic Certified Engineer or have relevant Elastic Stack certifications.
  • Have strong experience integrating Kafka, Redis, or other message bus technologies into ingestion workflows.
  • Be proficient with scripting in Python, Bash, or PowerShell for automation and data validation.
  • Have experience designing geo-distributed or multi-cluster ingestion architectures.
  • Have knowledge of threat intelligence ingestion, correlation data enrichment, and advanced ECS mapping.
  • Have experience with CI/CD pipelines, GitOps workflows, or Infrastructure-as-Code (Terraform, Ansible).
  • Be familiar with data quality assurance frameworks and pipeline testing methodologies.
  • Have knowledge of cloud-native logging architectures (AWS Firehose, Azure Event Hub, GCP Logging).

This position is expected to pay $130,000 – $150,000 annually; depending on experience, education, and any certifications that are directly related to the position.

IDS is committed to providing superior work in the fields of science, engineering, data analytics and technology to government agencies. We offer competitive compensation packages, including comprehensive nationwide Medical/Dental/Vision insurance programs, life insurance, matching 401k contribution and Educational/Training support.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.