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information security engineer

Safe-Guard Products International, LLC

<div><div>Job Posting Title: Information Security Engineer</div><div></div><div> 
Job Description</div>
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Job Title: Information Security Engineer
Location: US-GA-Atlanta (Sandy Springs Hybrid)
FLSA: Exempt 
Safe-Guard Products provides products and solutions to the motor vehicle industry that drive customer retention and protect consumers from the perils of vehicle ownership. We believe in innovation, collaboration and diversity and inclusion. Safe-Guard offers Competitive Benefits and career path.<div></div><div> 
Position Overview:</div><div>
Security Operations is a team that is responsible for incident detection and response (IR), vulnerability management (VM), Data Protection (DP) and security engineering activities. The Security Operations Engineer will be able to handle IR alerts and escalations from multiple sources and is responsible for implementing, maintaining, monitoring and managing security technologies to support SIEM, Endpoint Detection &amp; Response (EDR), Vulnerability Management, Data Protection and others. The engineer delivers these solutions and services in accordance with the organization&rsquo;s architectural designs, best practices, and regulatory or compliance requirements. As risks change, the security engineer is responsible for recommending modifications and enhancements to ensure the organization is evolving with the threat landscape.</div><div>
The engineer reports on findings and provides recommendations for corrective action. Performs vulnerability assessments as assigned utilizing IT security tools and methodologies. Performs assessments of the IT security/risk posture within the IT software and applications. 
 Provides weekly project status reports, including accomplishments and outstanding issues.</div><div></div><div> 
Essential Functions:</div><div><ul><li>
Assist with incident response and system stability issues as they occur. This may include involvement outside of regular work hours, and responsiveness is expected.</li><li>
Leverage approved AI technologies to optimize results in Security Operations.</li><li>
Implement, manage and maintain event and log collection, reporting and compliance requirements.</li><li>
Design and build SIEM dashboards and reporting tools required by technical teams. Help correlate events to support SOC response requirements.</li><li>
Maintain up-to-date level of knowledge related to security threats, vulnerabilities and mitigations set forth to reduce attack surface.</li><li>
Tune the SIEM with threat intelligence sources (e.g., premium, industry-shared, open-source and dark web), and correlate event indicators and threats.</li><li>
Support SOC automation initiatives leveraging playbooks, while also using human analysis as needed.</li><li>
Actively participate in threat hunting tabletop exercises to hone and strengthen skills across the team.</li><li>
Ensure security and technology teams maintain up-to-date configuration documentation for systems and processes.</li><li>
Monitor for vulnerabilities within applications, endpoints, databases, networking, and mobile and cloud services.</li><li>
Collaborate with IT operations to manage internal- and external-facing systems to identify, track and remediate system and application vulnerabilities.</li><li>
Support IT operations&rsquo; responsibility to remediate system and application vulnerabilities.</li><li>
Conduct continuous discovery, vulnerability assessment and remediation status of enterprise-wide assets.</li><li>
Prioritize vulnerability remediation based on criticality, exploit probability, rating and business risk exposure.</li><li>
Document, prioritize, recommend, validate and report on the state of vulnerabilities.</li><li>
Work closely with infrastructure teams to advise and support remediation efforts to close vulnerability exposure to new threats in the wild and verify the organization&rsquo;s security posture against them.</li><li>
Remain current with emerging threats and share knowledge with colleagues to improve security posture.</li><li>
Implement and manage data discovery and classification to understand where sensitive data resides and how it is used.</li><li>
Design, tune and operate DLP and CASB controls to prevent unauthorized data exposure and data exfiltration.</li><li>
Drive DSPM initiatives to identify overexposed, redundant or high-risk data and support data minimization efforts.</li><li>
Monitor and analyze access to sensitive data to reduce excessive or inappropriate access and mitigate insider risk.</li><li>
Support the data governance program, including policy enforcement, standards, exception handling and documentation.</li><li>
Produce clear metrics and insights on data protection posture, risk trends and control effectiveness.</li><li>
Continuously improve data protection controls in alignment with evolving business needs and regulatory requirements.</li><li>
Generate weekly, monthly and/or ad-hoc reports for managers as requested.</li><li>
Perform other duties as assigned.</li></ul></div><div></div><div> 
Skills Requirements:</div><ul><li>
Highly technical and analytical expertise, with a proven background in technology design, implementation and delivery.</li><li>
Experience in cloud computing technologies, including software-, infrastructure and platform-as-a-service, as well as public, private, and hybrid environments.</li><li>
Extensive knowledge of traditional security controls and technologies, such as Security Information and Event Management (SIEM) systems, intrusion detection/prevention systems (IDS/IPS), antivirus and firewalls, endpoint detection and response (EDR), threat intelligence platforms, security automation and orchestration, data protection and application controls.</li><li>
Skilled in meeting vulnerability and penetration testing requirements.</li><li>
Excellence in communicating business risk from cybersecurity issues.</li><li>
Experience managing SIEM systems, vulnerability management, threat intelligence platforms, security automation and orchestration solutions, data loss prevention (DLP) and other network and system monitoring tools.</li><li>
Track record of acting with integrity, taking pride in work, seeking to excel, being curious and adaptable, and communicating effectively.</li></ul><div></div><div> 
Education Requirements</div><div><ul><li>
Bachelor&rsquo;s degree in computer science, information assurance, MIS or related field, or equivalent.</li></ul></div><div></div><div> 
Experience Requirements</div><div><ul><li>
5-7+ years of related experience required.</li></ul></div><div></div><div> 
Certification Requirements</div><div><ul><li>
CISSP (preferred); CISM and/or SANS certification or other related certifications a plus.</li></ul></div><div></div><div> 
Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.</div></div>

Information Security Engineer

Synoptek

<div>Overview:
<div>
Synoptek</div><div>
We think globally, act locally. As a Managed Services Provider, Synoptek provides world-class strategic IT leadership and hyper-efficient IT operational support, enabling our global client-base to grow and transform their businesses. We are excited to have experienced continuous growth and in keeping with that momentum we are seeking to add talent to our team. When you partner with Synoptek, you engage with an ever-growing, ever-evolving IT organization that provides a high-caliber team, results growth, and clarity.</div><div></div><div> 
Field Support Engineer II</div><div>
This is an amazing opportunity to work within one of the fastest growing Managed Services Providers. We are a company with a heart and soul dedicated to the ongoing success and growth of our employees and continued business success of the customers we support. We foster a fun and connected environment with employee benefits extending beyond general compensation and into company sponsored events and an invested culture of learning.</div><div></div><div> 
The Field Support Engineer II is responsible for providing onsite support to Synoptek clients, whether scheduled or on demand. The Field Support Engineer is often considered the &lsquo;face&rsquo; of Synoptek and is expected to build strong, trusted relationships with their assigned clients. Every Engineer is measured on completed tickets, resolution met, CSAT (customer satisfaction) and ticket utilization set forth by their direct manager.</div><div> 
</div><div>Duties and Responsibilities</div><ul><li>
Triage and assign tickets to the appropriate resource</li><li>
Actively listening to and engage with clients</li><li>
Use advanced analytics including backup remediation, root cause analysis for infrastructure related outages, deploying patches and remediating alerts related to patches and more</li><li>
Retrieve passwords from password tool</li><li>
Ensure compliance with Synoptek&rsquo;s document security standards and policies</li><li>
Ensure compliance with the company&rsquo;s code of business ethics, standards, and policies</li><li>
Remain quality conscious via phone and email with both technical and non-technical customers</li><li>
Use analytics including backup remediation, root cause analysis for infrastructure related outages, deploying patches and remediating alerts related to patches and more</li><li>
Evaluate the issue to determine the problem and identify the source and possible solutions using critical thinking skills</li><li>
Draw connections between various aspects of a problem, and propose viable solutions that have been tested</li><li>
Navigate between the amount of time spent on a ticket determining plan of action and escalating the issue to provide excellent customer service</li><li>
After solving an issue, review the troubleshooting to achieve more efficiency in the future</li><li>
This job description is not designed to be a comprehensive list of the duties and responsibilities required of the employee in this position, as duties, responsibilities, and activities may change at any time with or without notice</li></ul><div>
Education</div><ul><li>
High School Diploma or GED required</li><li>
Microsoft role-based certification, A+, Security+, Network+, ITIL Certification or ability to obtain within 6 months of employment</li></ul><div>
Experience</div><ul><li>
Customarily has at least 2 years of customer facing project management and client engagement experience</li><li>
Customarily has at least 2 years of technical experience</li><li>
Experience troubleshooting issues with Windows &amp; Mac Operating Systems, Microsoft Office Suite, remote access, MS terminal services, Citrix XenApp clients and VMware, preferred</li><li>
Experienced in deploying OS installation via scripted, unattended methods, Ghost, Sysprep, and other imaging methods, preferred</li><li>
Experience with Mac Operating Systems, Windows XP/Vista/7/10 and Windows 2003/2008/2012, Citrix XenApp server and client, Exchange 2003/2007/2010, Active Directory, Hardware Firewall/Router (Configuration, maintenance and troubleshooting) and/or VMware ESX 4/5/5.5, preferred</li></ul><div>
Skills/Attributes</div><ul><li>
Synoptek core DNA behaviors:<ul><li>
Clarity: Possesses excellent communication skills, makes a concentrated effort to speak the customers language. Ability to field questions with concise, well-constructed responses</li><li>
OwnIT: Shows integrity, innovation, and accountability in completing daily assignments</li><li>
Results: Solutions focused and driven to resolve conflict quickly and precisely. Proactively looks for opportunities to contribute to the company&rsquo;s business goals</li><li>
Growth: Willing to learn and ask questions. Constantly looking for new ways to improve yourself. Ability to adapt and grow in a fast-paced environment</li><li>
Team: Embraces both customers and colleagues as team members. Ability to be flexible, respectful, engaged and collaborative</li></ul></li><li>
Ability to provide basic end user support in an enterprise environment</li></ul><div>
Working Conditions</div><div>
We live by the motto &lsquo;work hard, play hard&rsquo; and strive to support our employees in both their professional and personal goals. We believe that by hiring the right people, leading process improvement, and leveraging technology, we achieve superior results.</div><div></div><div> 
Work is performed at multiple client sites, which will likely involve commuting to different areas within the assigned region. May be subject to time constraints and tight deadlines. May require occasional travel.</div><div></div><div> 
EEO Statement</div><div>
We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, veteran status, sexual orientation, gender identity, marital status, pregnancy, genetic information, or any other characteristic protected by law and will not be discriminated against on the basis of disability. It is our intention that all qualified applicants are given equal opportunity and that employment decisions be based on job-related factors.</div></div>

Field Support Engineer II

The Home Depot

<div><div>Position Purpose:
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In this role, you will also provide technical leadership on machine learning systems, including model development, production deployment, monitoring, and lifecycle management of ML solutions operating at scale. In addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring. 
Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. You will help define best practices for building reliable, explainable, and maintainable ML systems that integrate seamlessly with broader software platforms. 
As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers. 
Key Responsibilities:<ul><li>
45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations; Attends conferences and learns how to apply new innovations and technologies where appropriate</li><li>
20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives; Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements; Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products; Proactively creates and maintains tools for monitoring and support; Participates in project planning and management across multiple efforts; Develops formal training courses</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 6 years of relevant work experience</li><li>
Strong experience designing, training, evaluating, and deploying machine learning models in production environments, including batch and real-time inference systems</li><li>
Experience with ML lifecycle management, including feature engineering, model versioning, experimentation, validation, and monitoring for data drift and model performance degradation</li><li>
Experience building and operating ML pipelines using cloud-native services, data platforms, and CI/CD practices for reproducible and reliable model deployment</li><li>
Strong understanding of applied statistics, model evaluation metrics, and tradeoffs between model accuracy, interpretability, latency, and operational cost</li><li>
Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience in advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li><li>
Experience in training machine learning models with extremely large datasets</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc. - and experience integrating them into scalable software systems</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Experience in cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Experience in defensive coding practices and patterns for high Availability</li><li>
Experience in A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div> 
Apply End Date: 04/01/2026</div>

Staff Machine Learning Engineer

Metas Solutions

<div>Metas Solutions has an &quot;opening&quot; for a talented Senior Data Engineer based in Atlanta, GA. The ideal candidate must be able to work onsite in the Atlanta metro area and someone who's proficient in Databricks workspaces and Azure infrastructure. In this position, you'll drive the next generation of our analytics products by architecting and delivering end-to-end cloud analytics solutions. In a fully cloud-native environment, you'll partner with product managers, data scientists, software engineers, machine learning (ML) engineers and business analysts to enable and support a platform that powers personalized experiences and operational efficiency. You'll leverage automated model CI/CD, containerized deployments (Docker/Kubernetes), and real-time monitoring to ensure our ML systems are reliable, secure, and scalable.
You will be responsible for the design, implementation, and maintenance of the Databricks workspaces and its associated Azure infrastructure. You will manage and optimize data and machine learning workloads, ensuring a reliable, secure, and scalable platform for business analysts, data engineering and data science teams.
Responsibilities:<ul><li>
Lead the administration and governance framework of the platform regarding the security posture of the enterprise and its key stakeholders</li><li>
Design and implement automated solutions to streamline accounts and workspace administration</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into ML solutions</li><li>
Mentor junior engineers and provide technical leadership in Databricks best practices and techniques</li><li>
Conduct cost and performance analysis of the various computes, and data assets within the platform</li><li>
Stay current with the latest advancements in Databricks SQL, Machine Learning and AI, and integrate new technologies and methods as applicable</li><li>
Engage in knowledge sharing and contribute to building a strong, collaborative team environment</li></ul>
Qualifications:<ul><li>
5+ years of experience with Databricks Account and Workspace Administration, including governance, configuration, and security management</li><li>
Experience with optimizing Databricks environments for cost efficiency, performance, and reliability</li><li>
Experience with developing and maintaining Databricks data pipelines using Autoloader, Delta Live Tables, and Databricks Workflows</li><li>
Experience with implementing MLOps solutions using MLflow 2.0/3.0, Serving Endpoints, and Model Registry in production environments</li><li>
Experience with Databricks SQL tools such as Queries and AI/BI Dashboards</li><li>
Experience with large datasets and distributed computing across cloud platforms (AWS, GCP, Azure), including Azure services like Entra ID, Data Factory, Key Vault, and Purview</li><li>
Knowledge of Unity Catalog Governance Architecture and enterprise data security best practices</li><li>
Possession of strong communication and documentation skills with the ability to clearly convey complex technical concepts to both technical and non-technical audiences</li><li>
Ability to work on-site in Atlanta, Georgia</li><li>
Master's degree in computer science, Computer Engineering, or related programs</li></ul>
Additional Qualifications:<ul><li>
Knowledge of Azure Cloud Networking concepts like VNET Injection</li><li>
Databricks Platform Administrator Certification</li><li>
Microsoft Certified: Azure Administrator Associate</li></ul>
Security Requirements:<ul><li>
Must be US Citizen and with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period</li><li>
Market competitive salary, commensurate with experience and education</li><li>
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities</li></ul>
We are an Equal Opportunity Employer/Veterans/Disabled</div>

Senior Data Engineer

<div>The Sr. Software Engineer on the Network Automation &amp; Traffic Management (NATM) team builds and improves the Go-based backend services that power Vantage and other traffic management platforms at The Home Depot. This work is conducted on Google Cloud Platform (GCP) and focuses on creating reliable, secure, and high-performance APIs that facilitate traffic movement between stores, data centers, and cloud systems.
In this role, you will design and ship backend features, enhance existing services, and help maintain the health of our production systems. You will also mentor other engineers and contribute to technical decisions around architecture, observability, security, and operations.
Key Responsibilities:<ul><li>
50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens</li><li>
20% Learns and Grows - Learns through successful and failed experiments when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people</li><li>
10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions</li></ul>
Direct Manager/Direct Reports:<ul><li>
This position typically reports to the Software Engineer Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul>
Travel Requirements:<ul><li>
No travel required.</li></ul>
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul>
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul>
Minimum Qualifications:<ul><li>
3&ndash;6+ years of software engineering experience, with a strong focus on backend development.</li><li>
2+ years of hands‑on Go (Golang) experience building production services, APIs, or tooling.</li><li>
Strong experience building and operating services on Google Cloud Platform (GCP), including one or more of:<ul><li>
GKE or other container orchestration</li><li>
Cloud Run or GCE</li><li>
Pub/Sub, Cloud SQL, Spanner, Bigtable, or similar managed services</li><li>
Cloud Logging / Cloud Monitoring (or equivalent observability stack)</li></ul></li><li>
Demonstrated experience designing and implementing RESTful or gRPC APIs and integrating with other backend services.</li><li>
Experience building cloud‑native, distributed systems with a focus on resilience, scalability, and performance (e.g., retries, timeouts, circuit breakers, caching, graceful degradation).</li><li>
Proficiency with CI/CD pipelines and automation tools (e.g., Cloud Build, Jenkins, Argo/Spinnaker, or similar), including automated testing and deployments.</li><li>
Strong experience with unit, integration, and performance testing for backend services.</li><li>
Solid understanding of version control practices and workflows (Git preferred).</li><li>
Ability to troubleshoot complex issues in distributed systems using logs, metrics, and traces.</li><li>
Strong communication and collaboration skills; ability to work effectively in a cross‑functional, platform‑oriented team and to mentor junior engineers.</li></ul>
Preferred Qualifications:<ul><li>
Experience building or supporting networking/traffic management/service mesh platforms (e.g., Envoy, API Gateway, mTLS, service discovery, routing policies).</li><li>
Experience with security and identity patterns for services, such as OAuth2/OIDC, mTLS, JWT, SPIFFE/SPIRE, or similar frameworks for service‑to‑service authentication and authorization.</li><li>
Experience working with high‑availability, multi‑region systems and designing for SLOs, error budgets, and incident response.</li><li>
Experience contributing to or maintaining platforms used by other engineering teams (internal developer platforms, shared APIs, or self‑service tools).</li><li>
Familiarity with infrastructure‑as‑code and configuration tooling (e.g., Terraform, Helm, Kustomize).</li><li>
Prior experience in a platform / SRE / infrastructure team supporting other product teams is a plus.</li><li>
Experience with PCF migrations, domain management, or legacy proxy retirement is a plus but not required.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Sr. Software Engineer, NATM (REMOTE)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Incorporated
<h2 class="jobSectionHeader">Job Area:
</h2>Information Technology Group, Information Technology Group &gt; IT Engineering
General Summary:
We have an opportunity in our Global Data Center Operations team for an intelligent and motivated Data Center Engineer who is enthusiastic about data center deployment and site reliability/management. As a member of our team, you will be managing existing and new Qualcomm data centers in Atlanta, Georgia. You will be responsible for the day-to-day operations of our data center and assume a critical role in maintaining overall uptime, performance, and capacity.
Your responsibilities will include site management, Moves/Adds/Changes of systems within the site, and installations/configurations of server, networking, and storage equipment in preparation for administrator tasks. You will also collaborate with our current Atlanta data center lead and San Diego teams for site management, including cabling and site growth planning.
Bring your solid experience and take on mission-critical projects as part of a fast-paced, highly collaborative team. We hold ourselves to high standards and take pride in our work. You should be dedicated to excellence, have a strong sense of personal responsibility, and be self-driven.
This position requires on-site work primarily at our facilities in Atlanta, Georgia.
Responsibilities Include (but are not limited to):
<ul><li>Rack and install servers, storage, networking gear, data center gear, and serial consoles.
</li><li>Perform initial configuration and provisioning for deployment (Console/ILO).
</li><li>Conduct site management and planning for production deployments and growth.
</li><li>Troubleshoot hardware issues and provide detailed reports to management/administrators.
</li><li>Manage local vendors for procurement, installations, and remediation.
</li><li>Oversee RMA/EOL/disposal processes.
</li><li>Maintain accurate inventory of all hardware equipment.
</li><li>Assist with co-location capacity planning and rack/server layouts.
</li><li>Implement best practices for power, cooling, and cabling in data center environments.
</li><li>Track issues and tasks via ticketing system.
</li><li>Participate in 24x7x365 on-call support rotation.
</li><li>Work in structured cabling central patch environments.
</li><li>Apply 10/40/100g patching knowledge.
</li><li>Perform basic fiber troubleshooting and VFL testing.
</li><li>Clean fiber end-faces properly.
</li><li>Utilize Commscope iMvision Database (preferred).
</li><li>Add copper cabling, punch down, and run cables.
</li><li>Read and interpret cabling scopes of work.
</li><li>Manage cable integrators and audit work against SOW.
</li><li>Apply quality assurance fundamentals.
</li><li>Understand fiber MPO and TX/RX principles.
</li><li>Troubleshoot fiber and copper connectivity.
</li><li>Perform basic testing of fiber and copper.
</li><li>Travel as needed.
</li></ul>Principal Duties &amp; Responsibilities
<ul><li>Serve as escalation point from service desk for advanced system/application issues.
</li><li>Troubleshoot and debug network, system, and application issues; escalate as needed.
</li><li>Network with colleagues to gain insight and share ideas.
</li><li>Prioritize tasks and manage setbacks under guidance from senior personnel.
</li><li>Adapt to changes and meet deadlines under pressure.
</li><li>Value contributions from diverse backgrounds and cultures.
</li><li>Communicate project status and obstacles to project lead.
</li><li>Complete moderate technical tasks assigned by senior personnel.
</li><li>Maintain open communication within and outside project teams.
</li><li>Contribute to technical discussions with tech leads and managers.
</li></ul>IT Core Competencies
<ul><li>Accountability: Deliver quality, timely, and cost-effective results.
</li><li>Adaptability: Adjust behavior to changing environments and information.
</li><li>Collaboration: Promote teamwork through shared values and goals.
</li><li>Communication: Effectively exchange information and understand others.
</li><li>Financial Acumen: Use financial insights to drive safe and transparent growth.
</li><li>Influence: Achieve goals through collaboration and leadership.
</li><li>People Development: Foster career growth and development.
</li><li>Strategic Focus: Solve complex challenges using business acumen and research.
</li></ul>Required Competencies
(All competencies below are required upon entry)
<ul><li>Analytical Skills: Identify patterns and trends in moderately complex data.
</li><li>Documentation: Record solutions using standard procedures.
</li><li>Escalation Management: Understand and apply incident escalation protocols.
</li><li>IT Expertise: Basic knowledge of operating systems, enterprise software, hardware, and middleware.
</li><li>IT Support: Respond to end-user requests using IT support tools.
</li><li>Monitoring: Interpret log data to maintain performance and security.
</li><li>Technical Troubleshooting: Apply systematic approaches to resolve technical issues.
</li><li>Workstation Software: Proficient in Windows, OSX, and Microsoft Office Suite (Outlook, Word, Excel).
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems) OR
</li><li>Bachelor&rsquo;s degree in a non-technical field (e.g., Business, Humanities, Marketing) and 1+ years IT-relevant experience OR
</li><li>High School diploma or equivalent and 3+ years IT-relevant experience
</li></ul>Physical Requirements
<ul><li>Transport and install equipment up to 50 lbs.
</li><li>Perform tasks at various heights (standing/sitting).
</li><li>Use computers and test equipment for more than 6 hours/day.
</li><li>Continuous communication with colleagues, customers, and vendors (in-person and remote).
</li></ul>Minimum Qualifications:
<ul><li>3+ years of IT-related work experience with a Bachelor's degree.
</li></ul>OR
 
5+ years of IT-related work experience without a Bachelor&rsquo;s degree.
 
 
Physical Requirements:
 
<ul><li>Frequently transports and installs equipment up to 20 lbs.
</li></ul><div><div><div><div><div><div><div>Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div></div></div></div></div></div></div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation &amp; Benefits :
$41.19 - $61.79
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

Data Center Engineer, Senior

<div>Position Purpose:
The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve. 
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering. 
ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices. 
Key Responsibilities:<ul><li>
65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
1 - 3 years of relevant work experience</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Familiarity with basic statistics and regression algorithms</li><li>
Familiarity with advanced statistics such as bayesian statistics</li><li>
Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Familiarity with a Linux or Unix based environment</li><li>
Familiarity with a CI/CD toolchain</li><li>
Familiarity with REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
1</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Machine Learning Engineer II (Remote)

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