avp, team lead, cyber-physical systems (cps) security & resiliency (power sector)

administrative assistant - association for clinical pastoral education (acpe)

nurse practitioner

product manager

ai engineer

avp, team lead, cyber-physical systems (cps) security & resiliency (power sector) Jobs in Atlanta

bpmn consultant

senior npd engineer

The Home Depot

<div>Position Purpose:
The Senior New Product Development (NPD) Engineer is a business partner to merchandising team managing and supporting private brands engineering projects. The engineer will partner with internal teams to complete benchmarking, product requirement development, and resolution of product performance concerns for assigned product categories. The engineer will also utilize Bill of Materials as well as internal tools and data to understand raw material, manufacturing, labor, logistics, business and all total cost involved in manufacturing and shipping product. The engineer is responsible for conducting engineering evaluations to determine component and complete product assembly costs for Home Depot Products. Having good business acumen and financial knowledge of key terms will aid the engineer in relating the information to the Merchant community in a constructive and collaborative manner. The engineer works in a team environment as an individual contributor. 
Key Responsibilities:<ul><li>
50% Engineering project management including benchmarking, product requirement development, and test protocol development</li><li>
30% Conduct financial and value based calculations, summarize the findings for the business in presentation quality format and communicate findings to key stakeholders</li><li>
10% Complete resolution of product performance concerns</li><li>
10% Provide general product Engineering guidance and knowledge or evaluations as required to deliver short term business goals</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Position Reports to Engineering Manager</li><li>
Position has no direct reports.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most all of the time is spent sitting in the same position or standing/walking or there is some requirement to lift or handle material or equipment of moderate weight (8-20 pounds).</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>
Mechanical or Electrical Engineering or equivalent in a field of study related to the job</li><li>
Masters of Business Administration</li><li>
Product costing experience</li><li>
Extensive understanding of Bills of Materials</li><li>
Knowledge of Merchandising Financial terms</li><li>
Knowledge of INCO shipping terms</li><li>
Experience working in a manufacturing and/or product development environment including design for reduced Manufacturing and Assembly costs</li><li>
Experience working with OEM suppliers through the product development cycle</li><li>
Experience working with vertically integrated manufacturers</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities 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>
5</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>
Excellent communication skills</li><li>
Ability to work in cross-functional team environment</li><li>
Business acumen and understanding of Merchandising</li><li>
Ability to use standard hand tools and lab equipment such as technical measuring equipment, power tools and pneumatic tools.</li><li>
Proficient with Microsoft Excel and PowerPoint</li><li>
Ability to use costing software such as Boothroyd Dewhurst DFM/DFMA</li><li>
Demonstrated manufacturing knowledge in areas such as plastics, metals, glass, wood, textiles and Printed Circuit boards</li></ul></div>

Senior NPD Engineer

<div>Position Purpose:<div>
The Cybersecurity Principal Engineer, AI Identity (Non‑Human Identity) is a senior, hands‑on technical leader within The Home Depot Cybersecurity Architecture &amp; Innovation team. This role provides enterprise‑wide thought leadership and architectural direction for Identity and Access Management (IAM) with a specialized focus on AI, agentic AI, and Non‑Human Identity (NHI).
The Principal Engineer serves as a recognized company and industry expert, combining deep IAM expertise with a broad understanding of cybersecurity, cloud, and modern enterprise technologies. The role operates in a horizontal capacity, supporting and guiding multiple cybersecurity and technology functions through solution design, evaluation, prototyping, documentation, and operationalization.
This position plays a critical role in shaping Home Depot&rsquo;s AI identity strategy and maturity, defining the foundational IAM architecture and technology enablement stack required to securely support AI workloads, services, and autonomous agents. The Principal Engineer partners closely with cybersecurity, engineering, architecture, and operations teams to ensure identity solutions are scalable, secure, and aligned to both current and future‑state enterprise architecture.</div> 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Aligns - Review, analyze, identify, and provide solutions to mitigate potential security control gaps enterprise wide; Collaborate across teams to reduce vulnerabilities, risks, and incident management; Partner with engineers, technology, and business partners to implement and maintain a secure environment</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Distinguished Engineer</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>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><div><ul><li>
Extensive enterprise experience in Identity and Access Management (IAM), including identity provisioning, authentication, and authorization.</li><li>
Hands‑on experience with Non‑Human Identity (NHI), such as service accounts, workload identities, or machine identities</li><li>
Proven ability to independently evaluate, design, and prototype complex security or identity solutions</li><li>
Experience working within large, highly integrated enterprise technology environments</li><li>
Strong understanding of core cybersecurity concepts, including authentication/authorization, encryption, segmentation, and secure system design</li><li>
Broad technical knowledge across cloud, compute, networking, databases, and application development</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or equivalent) and cloud‑native identity patterns</li><li>
Proficiency in at least one programming or scripting language used for prototyping, automation, or integration</li><li>
Ability to produce clear technical documentation, including architecture artifacts and design decisions</li><li>
Strong collaboration skills and the ability to provide technical guidance across cross‑functional teams</li></ul></div> 
Preferred Qualifications:<div><ul><li>
Demonstrated experience applying IAM concepts to AI, agentic AI, and emerging AI technology patterns</li><li>
Experience designing or supporting identity strategies for AI workloads, services, or autonomous agents</li><li>
Proven experience developing holistic reference architectures, roadmaps, and future‑state designs</li><li>
Familiarity with Zero Trust principles and modern identity‑centric security architectures</li><li>
Experience guiding engineering and operations teams through operationalization and technology handoff</li><li>
Knowledge of industry cybersecurity frameworks and standards (e.g., NIST or similar)</li><li>
Experience conducting technology evaluations, proofs of concept, and capability assessments</li><li>
Ability to represent IAM or security architecture in cross‑functional design and innovation forums</li><li>
Demonstrated success operating independently in fast‑moving, evolving technology initiatives</li></ul></div> 
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>
10</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>
Decision Quality</li><li>
Plans and Aligns</li><li>
Develops Talent</li><li>
Manages Conflict</li></ul></div>

Cybersecurity Principal, AI Identity (REMOTE)

<div>Position Purpose:
The Staff Data Engineer is a senior technical leader responsible for designing, building, and operating enterprise-scale data platforms and data products within the Enterprise Data Warehouse (EDW). This includes foundational data domains, semantic layers and downstream analytics consumers. This engineer will help define architectural standards, drive platform modernization, and mentor other engineers while remaining hands-on in complex backend data engineering efforts. The role emphasizes scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem. 
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 a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances</li><li>
10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations</li><li>
20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Software Engineer Manager or Sr. Manager</li><li>
This position typically 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>
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>
5+ years of experience in backend data engineering or analytics platform engineering</li><li>
Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred)</li><li>
Advanced SQL expertise and strong working knowledge of Python</li><li>
Proven experience designing enterprise-grade data models, including curated/ADS datasets</li><li>
Experience building and supporting semantic layers (AtScale preferred, but not required)</li><li>
Experience with universal or shared semantic modeling across multiple domains or products</li><li>
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow</li><li>
Strong understanding of performance tuning and cost optimization techniques in large data environments</li><li>
Experience designing systems for high availability, resilience, and scalability</li><li>
Ability to work across teams and influence architectural decisions without direct authority</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities 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>

Staff Software Engineer - Enterprise Data Warehouse (Remote)

<div>Position Purpose:
The Software Engineer II - EDW is responsible for building and maintaining the data pipelines and structures that power our enterprise analytics. Working within the EDW ecosystem, you will develop curated datasets, maintain semantic layer logic, and ensure the reliability of data products. You will work alongside senior engineers to implement architectural standards, helping to transform raw data into actionable insights while focusing on data integrity, performance, and scalability. 
Key Responsibilities:<ul><li>
60% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software 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 destructive testing 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>
20% Learning - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems</li><li>
20% Plans and Aligns - Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically repots to 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>
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&ndash;3 years of experience in data engineering or a backend-heavy technical role.</li><li>
Proficiency in SQL &amp; Python for complex data transformation and automation.</li><li>
Hands-on experience with Cloud Data Warehouses (BigQuery preferred).</li><li>
Experience in Data Modeling, specifically building curated or ADS (Analytical Data Store) layers.</li><li>
Exposure to Orchestration &amp; CI/CD tools such as Airflow, Jenkins, and Git.</li><li>
Experience in Data Validation, including unit testing and root cause analysis for pipeline failures.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities 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>
2</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>

Software Engineer II - Enterprise Data Warehouse (Remote)

IHG Hotels & Resorts

<div>The AI Engineer will build, test, and maintain the models, agentic solutions and infrastructure that power our AI solutions.
The ideal candidate has a solid foundation in software development, a passionate interest in AI, and a relentless curiosity to learn. The AI Engineer is an experienced individual contributor within a project team.
Your Day to Day<ul><li>
Contribute to the development of AI/ML models and agentic applications by writing, testing, and documenting code under the guidance of senior team members.
</li><li>Assist in preparing and processing data for model training and evaluation. Help build and maintain data pipelines to support our AI services.
</li><li>Participate in the testing and validation of AI models to ensure they are accurate and performant. Assist in monitoring and maintaining deployed applications.
</li><li>Work closely with other engineers, data scientists, and product managers in an agile environment to deliver on team goals.
</li><li>Actively learn from senior members of the team, participate in code reviews, and continuously develop your skills in AI, machine learning, and software engineering.
</li><li>Uphold high standards for code quality, testing, and documentation. Champion software engineering best practices within the team. Deliver code that is secure, reliable and supportable.
</li><li>Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity. Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient. Effectively use AI code assistants to deliver code.
</li><li>Ensure application diagrams and documentation stay current and relevant.
</li><li>Adherence to agile development methodologies.</li></ul>
What You Will Bring<ul><li>
Education
<ul><li><div>Bachelors in a relevant field of work or an equivalent combination of education and work-related experience.
</div></li></ul></li><li>Experience
<ul><li><div>Typically, a minimum of 5+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines, technologies, or processes related to the position.
</div></li><li><div>Some professional or academic experience in software development, preferably using Python.
</div></li><li><div>Demonstrated interest in AI and machine learning through coursework, personal projects, or internships.
</div></li><li><div>Solid understanding of core computer science principles and software engineering fundamentals.
</div></li><li><div>A collaborative mindset and strong communication skills.
</div></li><li><div>Experience working with large datasets and complex data pipelines.
</div></li><li><div>Ability to work effectively in a collaborative, agile team environment.
</div></li><li><div>An innate curiosity and a portfolio or history that demonstrates a commitment to continually learning new technologies as they evolve.</div></li></ul></li></ul>
<ul><li>Technical Skill &amp; Knowledge
</li></ul><ul><li><div>Strong programming skills in Python.
</div><ul><li><div>Foundational knowledge of machine learning concepts and algorithms. Familiarity with common libraries like Scikit-learn, Pandas, or NumPy is a plus.
</div></li><li><div>Interest in learning deep learning frameworks such as TensorFlow or PyTorch.
</div></li><li><div>Good analytical and problem-solving skills with keen attention to detail.
</div></li><li><div>Familiarity with Git and version control workflows.
</div></li><li><div>Theoretical understanding of machine learning, deep learning, and natural language processing (NLP).
</div></li><li><div>Hands-on experience with at least one major cloud provider (GCP, AWS, Azure) and their associated AI/ML services.
</div></li><li><div>Experience with both SQL and NoSQL databases, and proficiency with data processing technologies like Spark is a plus.
</div></li><li><div>Understanding of microservices architecture, API design (e.g., REST, gRPC), and containerization technologies (e.g., Docker, Kubernetes).</div><div>
</div></li></ul></li></ul><div></div>Travel - 10%
Location - Our hybrid work structure is an expectation of three (3) days a week in office. This expectation may be adjusted to evolve with the changing needs of the business.
The salary range for this role is $119,000 to $145,000. This role is also eligible for bonus pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401K, and other benefits to employees. 
 
#LI-ZY1
<div><div><div>At IHG Hotels &amp; Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You&rsquo;ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there&rsquo;s Room for You at IHG. 
</div><div></div> 
<div>Over recent years, we&rsquo;ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests &amp; owners love. 
</div><div></div> 
<div>We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That&rsquo;s why here at IHG, we give our colleagues flexibility and balance &ndash; working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that&rsquo;s why leaders work with teams to determine how and when they collaborate. 
</div><div></div> 
<div>We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference. 
</div><div></div> 
<div>Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels &amp; Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives.
</div>
</div></div><div></div>Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.
Important information:
<ul>
<li>The salary range listed is the lowest to highest pay scale we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee&rsquo;s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs.</li>
<li>No amount of pay is considered to be wages or compensation until it is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remain in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</li>
<li>If you require reasonable accommodation during the application process, please click here.</li>
<li>IHG does not accept applications, inquiries, or unsolicited CVs/resumes from staffing or recruiting agencies. Please click here for our agency policy.</li>
<li>If you are a resident of or applying to a job opening in the State of Washington, please click here to read about applicable benefits.</li></ul></div>

AI Engineer

<div><div>Position Purpose:
The Senior Software Engineer for Site Reliability Engineering (Store Systems Enablement) builds and operates the internal platforms that keep Home Depot's store systems observable, reliable, and automated. This is a platform engineering role: you will design, develop, and maintain the tools that hundreds of development and reliability teams depend on, not just use them.
The team owns and operates a portfolio of reliability platforms, including a custom-built synthetic testing system that runs inside physical Home Depot stores, operational automation infrastructure serving dozens of teams, and the full observability stack (logging, tracing, and profiling) for Store Systems. You will write code, deploy infrastructure, tune distributed systems, and reduce operational toil through automation, including AI-assisted workflows.
Key focus areas include:<ul><li>
Platform Development: Build and extend internal reliability tools using Kubernetes, Terraform, and modern infrastructure-as-code patterns on Google Cloud Platform.</li><li>
Observability Operations: Deploy, configure, and maintain production logging, tracing, and profiling systems. Own the SLO/CUJ platform that enables multi-window, multi-burn-rate alerting and automated tracking dashboards for RE teams across Store Systems.</li><li>
Toil Reduction &amp; Automation: Identify repetitive operational work and engineer it away. Build self-service capabilities, Copilot skills, and automation pipelines so teams can operate independently.</li><li>
SLO &amp; CUJ Enablement: Maintain and extend the platform that powers SLO and Critical User Journey definition across the organization. Educate RE teams on what good SLOs and CUJs look like, assist with onboarding, and build automation and documentation so teams can self-serve. You will have strong opinions on the right way to measure reliability and the tooling to back them up.</li><li>
Synthetic Monitoring: Extend our in-store synthetic testing platform: onboard teams, enable them to write and deploy their own tests, and evolve the platform's orchestration, alerting, and self-service capabilities.</li><li>
Incident Response &amp; Resilience: Participate in on-call rotation for observability infrastructure. Lead and contribute to blameless post-mortems. Design and execute destructive tests to validate platform resilience.</li></ul>
You will work on a small, high-impact team where the work is varied: some weeks you're writing Terraform and Helm charts, others you're debugging Loki query performance or building a Copilot skill to automate a support workflow. You will be expected to own problems end-to-end, from investigation through implementation to production deployment.<div> 
Key Responsibilities:</div><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 experiment 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 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>
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>
3-5 years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering</li><li>
Hands-on experience with Google Cloud Platform (GCP), including GKE, GCS, BigQuery, Cloud Pub/Sub, Cloud Logging, IAM, and Workload Identity. Experience with other major cloud providers (AWS, Azure) is also valuable.</li><li>
Strong Kubernetes experience: deploying and managing workloads on GKE or similar managed Kubernetes services, writing and debugging Helm charts, managing namespaces, RBAC, service accounts, and troubleshooting issues</li><li>
Experience with infrastructure-as-code tools, particularly Terraform for cloud resource management. Familiarity with cdk8s (CDK for Kubernetes) or similar programmatic IaC tools is a plus.</li><li>
Proficiency in one or more of: Go, Python, JavaScript/TypeScript, YAML. You don't need all of them, but you should be comfortable reading Go, writing YAML and HCL, and scripting in Python or JavaScript.</li><li>
Experience with observability platforms: deploying, configuring, or operating log aggregation, distributed tracing, metrics, dashboarding, or continuous profiling</li><li>
Practical understanding of SLOs, SLIs, and error budgets. Experience defining Service Level Objectives, instrumenting services for SLI measurement, and configuring burn-rate alerting is highly preferred.</li><li>
Experience with synthetic monitoring or performance testing frameworks (k6, Playwright, Selenium, Locust, or similar). Bonus if you've built or operated a synthetic testing platform rather than just consumed one.</li><li>
Familiarity with incident management and on-call practices: Blameless post-mortems, runbook development, and incident communication</li><li>
Experience with CI/CD pipelines using GitHub Actions, Spinnaker, ArgoCD, or similar. Understanding of deployment strategies (blue/green, canary, rolling).</li><li>
Experience with automation to reduce operational toil: building self-service tooling, writing scripts or bots to handle repetitive tasks, or developing internal developer platforms</li><li>
Familiarity with AI-assisted development tools (GitHub Copilot, LLM-based automation, MCP servers) is a plus. We are actively building AI skills and automation into our workflows.</li><li>
Experience writing clear technical documentation, runbooks, and onboarding guides</li><li>
Comfort working on a small team with broad ownership: you will context-switch between writing code, debugging production systems, and onboarding partner teams</li></ul><ul><li>
Minimum Education:</li><li>
The knowledge, skills and abilities 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> 
Apply End Date: 06/18/2026</div>

Senior Software Engineer - Site Reliability Engineering (Remote)

NATIONMIND LLC

<div><div><div>About NationMind LLC: 
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for Embedded Engineer to join our growing team. 
 
Role: Embedded Engineer 
Location: Atlanta, GA 
Fulltime 
 
Required Minimum Qualifications 
Degree in Electrical Engineering, Computer Engineering, Physics, or related field 
Familiar with software development concepts such as source control, agile development, and good coding practices 
Experience developing on embedded platforms 
Experience with use of C, C++, and Python 
Experience using GIT and Confluence</div></div></div>

Embedded Engineer

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