813 It Operations Network Engineer jobs in Conyers,GA

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Senior System Safety Engineer

Anduril Industries

Atlanta, GA 30349

~ 39 min OnsiteHealth Insurance

Minimum of 8 years of industry experience as a System Safety Engineer or equivalent engineering background
B.S. degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware and software systems in the defense or aerospace industry, with a preference for Weapon Systems, Aircraft, UAS, Maritime, Space, or Rotorcraft
Extensive knowledge of MIL-STD-882E and other relevant safety standards
Experience setting up a System Safety Engineering framework for a product or program, including early-stage Design for Safety and Hazard Analysis experience
Strong background in safety analysis techniques including FTA, FHA, SCFTA, and FMECA
Experience with requirements decomposition for Safety
Failure investigation/analysis experience with a proven track record of solving problems and preventing reoccurrence
Design Review experience (PDR, CDR, MRR) and confident presentation skills across all levels of leadership
Strong analytical/problem-solving skills and excellent communication skills with the ability to collaborate cross-functionally
Eligibility to obtain and maintain a U.S. security clearance

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Manager, Platform Engineering

Cargill

Lithonia, GA 30038

New, Posted 4 hours ago

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Sr. Project Engineer - Industrial Construction

MasTec Industrial

Atlanta, GA 30349

$130,000-$160,000/yr

Urgently Hiring

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Junior Electrical Engineer – Sustainment

Trenton Systems

Lawrenceville, GA 30043

Onsite

Degree in Electrical or Computer Engineering or related field
1+ years' experience in an electronics design and manufacturing environment
Exposure to CAD or ECAD tools
Basic understanding of electrical systems, circuits, and electronic components
Familiarity with electrical schematics and testing equipment (e.g., multimeter, oscilloscope)
Strong problem-solving and analytical skills, with a deep understanding of process optimization techniques.
Excellent communication skills and the ability to work well in team settings and with all levels in the organization
Strong attention to detail and commitment to safety and quality standards.
Excellent project management skills
Experience working within an ERP system
Ability to manage multiple activities and identify priorities based on inputs
Ability to read an Engineering BOM
Strong Microsoft Office skills in Word, Excel, SharePoint, etc.

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Reliability Engineer

Anduril Industries

Atlanta, GA 30349

~ 39 min OnsiteHealth Insurance

Minimum of 5 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer
B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware & software systems in the defense or aerospace industry
Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629
Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis
Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis
Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance
Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence
Design Review Experience (PDR, CDR, MRR) and confidence in presentation skills across all levels of leadership
Eligibility to obtain/maintain a U.S. Secret clearance, as required

SmartExplore AI is experimental.

New, Posted 1 day ago

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System Engineer 2 [211060]

Aquent Talent

Atlanta, GA 30349

$42/hr

Hybrid~ 39 minFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a technical field such as electrical engineering, network engineering, computer science, or related field experience.
2-4 years of experience in a systems engineering, site engineering, or technical support role.
Proven experience setting up and troubleshooting wired and wireless networks.
Prior experience working on construction projects supporting electrical systems, networks, or building management systems.
Demonstrated understanding of construction site safety practices.
Ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Strong collaborative skills to plan and execute key deliverables with teammates.
Willingness to travel occasionally to project sites for onsite support.
Crucially, candidates must possess hands-on test equipment or hardware experience; those with only software/programming experience will not be eligible.

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New, Posted 1 hour ago

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Senior Associate, Privileged Access Management Delivery Engineer

KPMG

Atlanta, GA 30349

~ 39 min OnsiteHealth InsuranceRetirement Benefit

Minimum three years of recent professional experience in Identity & Access Management, Privileged Access Management, or cybersecurity
Bachelor's degree from an accredited college or university
Hands on experience with Privileged Access Management delivery and engineering, with specific experience using CyberArk On-Prem and SaaS solutions
Familiarity with infrastructure administration (such as Windows, Linux, Databases), networking basics, and IT architecture principles
Experience supporting PAM integrations within cloud platforms such as Azure, AWS, or GCP
Proficiency with scripting, automation integrations, infrastructure-as-code, and configuration management
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity
Ability to travel as required

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Senior Software Engineer / Architect - Search Engine Internals (Full-Text & Hybrid Retrieval)

Oracle

Atlanta, GA 30309

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Machine Learning Lead Engineer

Cox Automotive

Stone Mountain, GA 30083

~ 34 min OnsitePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
Commitment to continuous learning in AI-augmented data science and responsible AI use.