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Atlas Container Jobs (NOW HIRING)

Cyber Space Technologies LLC

IAM Engineer

Plano, TX · On-site

... Cloud Platform Atlas 2.0 Control Plane and Vertex AI enablement for a large-scale financial ... Container security - GKE workload identity, service mesh authentication (Istio/Anthos Service Mesh ...

MongoDB

Site Reliability Engineer 3

New York, NY

$62.25 - $82.75/hr

... Atlas platform. As our customers grow and globalize, our services must satisfy demands for low ... Experience managing kubernetes clusters or some other container orchestration infrastructure

Fortegra

IT Security Analyst

Jacksonville, FL · On-site

Lead vulnerability remediation across endpoints, servers, cloud workloads, containers, and SaaS ... Apply AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI Risk Management Framework, ISO ...

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All JobsAtlas Container Jobs

Atlas Container information

See salary details

$28K

$62.3K

$97.5K

How much do atlas container jobs pay per year?

As of Aug 7, 2026, the average yearly pay for atlas container in the United States is $62,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $73,000.00 per year, depending on experience, location, and employer.

What is an Atlas Container?

An Atlas Container job typically involves working in a manufacturing or logistics environment, focusing on the production, assembly, or distribution of containers used for packaging and transportation. Responsibilities may include operating machinery, quality control, inventory management, and ensuring efficient workflow processes. Depending on the specific role, employees may also be involved in design, customization, or sales of container products.

What are the typical daily responsibilities for an Atlas Container?

Employees at Atlas Container are generally responsible for receiving, inspecting, and organizing shipments, managing inventory, and preparing containers for outgoing orders. The role may also include operating forklifts or other warehouse equipment, maintaining accurate records using inventory management systems, and performing regular safety checks. Team members often collaborate closely with shipping, receiving, and logistics staff to ensure deadlines are met and workflow remains smooth. Attention to detail, time management, and adherence to safety protocols are key to excelling in this fast-paced, collaborative environment.

What are the key skills and qualifications needed to thrive in the Atlas Container position, and why are they important?

To thrive in a position at Atlas Container, candidates should have experience with warehouse operations, inventory management, and safe material handling procedures. Familiarity with forklift operation, warehouse management systems (WMS), and industry safety certifications such as OSHA training are highly valued. Strong teamwork, reliability, and effective communication are the soft skills that distinguish top performers in this environment. These abilities ensure that daily operations are efficient, accurate, and conducted safely, supporting both individual and team success.

More about Atlas Container jobs
What are the most commonly searched types of Atlas Container jobs? The most popular types of Atlas Container jobs are:
What states have the most Atlas Container jobs? States with the most job openings for Atlas Container jobs include:
What job categories do people searching Atlas Container jobs look for? The top searched job categories for Atlas Container jobs are:
Atlas Container jobs near you
Infographic showing various Atlas Container job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $62,323 per year, or $30 per hour.

Principal AI Software Engineering Lead

3Core Systems, Inc.

Austin, TX • On-site

$133K - $179K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description


Job Title: Principal AI Software Engineering Lead
Location: Irving, TX, 75038 (Onsite)
Duration: 26 months contract
**Preferred locals to TX.
**Only those lawfully authorized to work in the designated country associated with the position will be considered.
Must Have Skills/Attributes: Cloud, DevOps, Java, Python.
Experience Desired: AI-Assisted Software Engineering & Developer Productivity (7 yrs); Backend/Platform Engineering (7 yrs); Backend/Platform Engineering (7 yrs); Software Architecture & Technical Leadership (7 yrs); Software Architecture & Technical Leadership (7 yrs)
Required Minimum Education: Bachelor's Degree.
Preferred Education: Master's Degree.
JOB DESCRIPTION:
Required Education (Precise):
• Bachelor's degree in Computer Science, Software Engineering, or related field (minimum).
o Master's + 3 years
o Bachelor's + 5+ years
o Associate's + 9 years
• Internships not accepted as experience.
Preferred Education:
• Master's degree in Computer Science or Software Engineering (preferred).
Preferred Certification:
• TOGAF certification (nice-to-have).
Required Skills:
• Cursor, Claude Code, or GitHub Copilot (or similar AI coding tools).
• Java/Spring Boot
• Python
• Distributed systems
• APIs and integration services
• Cloud-native platforms
• Software architecture and engineering best practices
• Prompt engineering
• Agentic development workflows
• Engineering metrics and productivity measurement
• Infrastructure and cloud
• Docker, containers, Kubernetes
• IT security, server/storage
• Security standards
• DevOps
Technical - Desired:
• Specification-driven development.
• Robotics, Physical AI, Simulation, or Digital Twin.
• AWS or Azure.
• Developer experience platforms.
Soft Skills - Required:
• Problem-solving and analytical thinking.
• Agile/Scrum team collaboration.
• Verbal and written communication.
• Cross-functional/distributed team collaboration.
• Ambiguity tolerance.
• Ownership and accountability.
• Technical documentation.
Soft Skills - Desired:
• Mentoring junior engineers.
• Technical leadership and design reviews
• Stakeholder management and vendor collaboration.
• Continuous improvement.
• Global team experience.
Disqualifiers (Red Flags):
• No hands-on backend development.
• Limited API, integration, or distributed systems experience.
• Front-end only experience.
• No Agile/Scrum experience.
• Cannot contribute to cloud-native service development or troubleshooting.
Key Responsibilities:
• Identify cloud capabilities and benchmark industry adaptation.
• Assess Kubernetes fit.
• Review ICS/ACT technologies (Remote Services, Minestar).
• Challenge solutions and drive alternative architecture options.
• Partner with GIS, Security, and other teams on solution design.
• Evaluate and benchmark AI coding platforms.
• Define AI best practices, standards, governance, and adoption frameworks.
• Identify and execute AI pilot initiatives (Atlas, Physical AI, enterprise).
• Design agentic, spec-driven, and autonomous development workflows.
• Measure developer productivity, quality, SDLC efficiency, and outcomes.
• Create reference architectures, implementation patterns, and guidance for AI-native development.
• Integrate AI into development lifecycle with architects, managers, product, and platform teams.
• Assess security, compliance, and governance for AI coding tools.
• Mentor teams on AI tools and modern engineering practices.
• Drive velocity, quality, technical debt reduction, and developer experience improvements.
• Collaborate with vendors, partners, and stakeholders on emerging capabilities and best practices.
• Contribute to engineering strategy, roadmap, technology selection, and long-term AI transformation.
• Individual contributor.
• Collaborate with: Engineering Directors, Managers, Principal Engineers, Architects, Technical Leads.
• Work across: Atlas, Physical AI, Autonomy Services, enterprise engineering.
• Partner with: Product Owners, Product Managers, business stakeholders.
• Partner with: DevOps, Platform Engineering, Cybersecurity, Enterprise Architecture.
• Engage with vendors and AI platform providers.
• Lead workshops, architecture discussions, PoCs, enablement activities.
• Mentor engineers and technical leads.
• Present recommendations, findings, pilot results, roadmaps to senior leadership.

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