Colab Python Jobs in Usa

Our client, a well-known men's and women's apparel company, is looking for an Anaplan Model Builder to join their Miami, FL team!

Key Responsibilities

• Solution Design & Architecture: Act as the subject matter expert (SME) for the Anaplan platform, leading the end-to-end design and architecture of complex, multi-dimensional Anaplan models (including the Data Hub) to support critical business processes such as Merchandise Financial Planning, Assortment Planning, Sales Forecasting, Supply Planning, and Financial Planning & Analysis (FP&A).
• Business Partnership: Collaborate with business stakeholders across all levels to gather, document, and analyze requirements, translating them into scalable and efficient technical designs and user stories.
• Model Building and Development: Design, build, test, and deploy Anaplan models following Anaplan best practices (e.g., DISCO) and architectural standards.
• Data Integration: Oversee and manage data integration strategies (both inbound and outbound) between Anaplan and source systems (e.g., ERP, CRM, data warehouses) using tools like Anaplan Connect or related integration technologies, ensuring data accuracy and timeliness.
• Optimization & Governance: Continuously review, enhance, and optimize existing Anaplan models for performance, maintainability, and scalability. Lead the implementation of Application Lifecycle Management (ALM) and maintain model governance and security.
• Leadership & Training: Provide technical leadership to development teams (internal and/or external) and mentor junior model builders. Develop and deliver training programs to drive end-user adoption and proficiency.
• Documentation: Create and maintain comprehensive documentation, including detailed architectural blueprints, process flows, model schematics, and functional specifications.

Required Qualifications

• Education: Bachelor's degree in Information Technology, Computer Science, Finance, Business Administration, or a related highly analytical field.
• Experience:
• 5+ years of total experience in Enterprise Performance Management (EPM) or Business Intelligence.
• 3+ years of direct, hands-on experience in Anaplan model design, development, and implementation, ideally in a Solution Architect or Lead Developer capacity.
• Certifications: Certified Anaplan Model Builder (Level 2/3) is required; Anaplan Solution Architect or Master Anaplanner certification is highly preferred.
• Functional Knowledge: Strong understanding of retail, apparel, or consumer goods industry business processes, with specific expertise in Merchandise Planning and/or Supply Chain Planning is a significant advantage.
• Technical Skills:
• Expert proficiency in building, maintaining, and optimizing Anaplan models, including deep knowledge of modules, lists, line items, and complex calculations.
• Advanced experience with data integration concepts and tools.
• Proficiency in financial modeling, retail math, and Microsoft Excel.
• Soft Skills: Excellent verbal and written communication, presentation, and stakeholder management skills. Proven ability to lead solution-focused discussions and drive consensus.

Preferred Skills

• Experience with other planning systems (e.g., Oracle EPM).
• Familiarity with Agile development methodologies.
• Knowledge of scripting languages or API integrations (e.g., REST APIs, Python).

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

I hope you're doing well! We have an interesting, brand new Business Systems Analyst / Strategist working for a well-known company in Monrovia, CA. This role works in the company's IT Applications and Development group and will be playing a critical role in translating challenges into data-driven products.

In this role, the individual will be partnering closely with SMEs, business stakeholders, and Engineering teams to design, implement, and operate scalable data products for internal use using the Palantir Foundry platform. Palantir Foundry experience is highly preferred, but we will also consider individuals who have worked in other platforms including Databricks, DataWalk, Snowflake, Alteryx, etc.

This individual will work to integrate Foundry into existing systems and workflows to maintain data integrity, workflows, etc. We are seeking someone with 2 - 5 years of experience in a similar role.

This is a full-time, salaried position working onsite in Monrovia. I look forward to working with you!

Essential Responsibilities

• Partner with business stakeholders and Forward Deployed Engineering teams to build impactful data products
• Is Admin for the platform and oversees the support of critical workflows operations
• Oversee solution design, product implementation, and end-to-end program execution
• Collaborate with IT and Forward Deployed Engineering teams to integrate Foundry into existing systems and workflows to maintain data integrity and workflows.
• Design and build customized workflows that address specific business needs

Qualifications

• Bachelor’s degree preferred
• Minimum of 2-5 years of experience as a Palantir or in a comparable forward-deployed, client-facing technical role
• Minimum 2-3 years building data products and workflows
• Minimum 2-3 years Palantir Foundry experience, including use case design and implementation
• Experience administering Palantir Foundry instance strongly preferred.
• Strong proficiency in data engineering and data analysis tools such as Python, Spark, and SQL. Additional Data Science experience strongly preferred
• Exceptional communication skills with a proven ability to manage and influence diverse stakeholders
• Demonstrated ability to understand critical user questions, identify pain points, and optimize product usage
• Proven track record of collaborating effectively with engineering teams to deliver complex, cross-functional projects
• Exceptional problem-solving skills, with strong creativity, analytical thinking, and attention to detail

"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."

Summary of Position (Job Purpose)

This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. As the company undergoes major transformation, insights derived from data will play a critical role.

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands‑on. This leader will help transform how Family Dollar leverages internal & external data and ensure structured & unstructured data can be securely and efficiently utilized across the organization. You will collaborate closely with business users, data product owners, platform teams, enterprise architecture, data management, and business intelligence team to build high‑performing, scalable, and maintainable data capabilities using current and emerging cloud technologies.

This role is responsible for the design and execution of data engineering initiatives in partnership with the Director of Data Analytics & Reporting. The candidate must be highly collaborative, organized, and effective at communication and problem‑solving. Leadership experience managing individual contributors, contractors, and vendors is essential

Principal Duties and Responsibilities

• Build, lead, and manage the Data Engineering team, driving rapid delivery of data solutions that enhance analytics and insights capabilities.
• Manage 3–5 individual contributors as well as contract and vendor resources.
• Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.
• Make recommendations for enterprise‑wide data, data onboarding, and self‑service analytics roadmap and architecture.
• Design data pipelines and data models optimized for BigQuery performance, cost control, and reliability
• Provide technical direction and solution guidance to ensure projects enable effective data availability and meet business requirements.
• Serve as an escalation point for issues or roadblocks impacting delivery timelines.
• Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail.
• Deliver solutions in a fast‑paced, dynamic, and agile environment.
• Initiate proof‑of‑concepts (POCs) and prototypes to validate recommendations and test new approaches.
• Act as the subject‑matter expert on data acquisition, ingestion, and information delivery.
• Lead the creation of standards for data quality, lineage, governance, observability, and CI/CD processes across the data engineering organization
• Collaborate with data product owners to define, prioritize, and execute the data engineering roadmap aligned with business objectives
• Coach and mentor engineers, fostering a culture of technical excellence and continuous improvement

Minimum Requirements/Qualifications

• Bachelor’s degree or higher.
• 5+ years of experience working with large‑scale, enterprise data sets.
• 2+ years managing full‑time employees, contract partners, or vendor resources.
• Strong curiosity and a passion for identifying new ways to leverage data to creates business value.
• Proven experience delivering end‑to‑end data solutions, with emphasis on enabling self‑service analytics across diverse user groups.
• Experience working with end users to gather requirements and translate them into technical solutions from concept through implementation.
• Self‑starter capable of independently delivering outcomes with minimal oversight.
• Hands‑on experience working with structured and unstructured data and modern data technologies—including GCP, BigQuery, Dataflow, Python, etc.
• Experience delivering data as a product as plus
• Retail, supply chain, or e‑commerce experience is a plus but not required.

Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.

ABOUT US

IICOMBINED, beginning with the global fashion eyewear brand GENTLE MONSTER in 2011 and expanding to TAMBURINS and NUDAKE, seeks to explore innovative ideas to challenge reality through the creation of beautiful and unpredictable outcomes that have yet to be seen. IICOMBINED continues to take on new challenges by establishing its own view of the world.

IICOMBINED means expressing ourselves through combining IMAGINATION and INTERPRETATION of the world.

GENTLE MONSTER is a global fashion eyewear brand that offers an unforeseen and startling brand experience. With more than 70 direct stores in 13 countries as of June 2024, GENTLE MONSTER leads the global eyewear trend through differentiated branding with new product releases, experimental and sophisticated spaces, and campaigns.

TAMBURINS is a fragrance brand exploring undefined territories of beauty. Through a combination of storytelling inspired by scattered scenes from around the world and sophisticated and delicate perfumery techniques, the brand captures the true depth of scent. TAMBURINS fosters emotional communication beyond a simple experience by reinterpreting contents through the realms of objects, painting and performance in exhibition-style stores.

NUDAKE is an F&B brand recreating dessert culture with its ‘Make New Fantasy’ ethos. We transport consumers to a new fantasy by creating unprecedented cakes by combining fashion and art. By experimenting and producing contents that deviates from established processes and rules, NUDAKE touches consumers beyond the ordinary F&B experience.

_______________________________________________________________________

Job Description:

We are seeking a data-driven growth marketer with a specialization in paid media to enhance our E-commerce team. Applicants should have at least one year of experience in paid media, including media planning and buying, and possess exceptional analytical skills. This role involves leading our paid search and media campaigns through platforms like Facebook Ads Manager, Google Ads, and TikTok Ads Manager. A passion for mathematics and strategic thinking is essential, as you will be continually refining our performance marketing strategies to boost our brand presence. Proficiency in Excel is critical, as it will be used extensively for managing and analyzing campaign data to inform strategic decisions. 

 Responsibilities/Duties:

Paid Social Implementation and monitor:

• Responsible for campaign setup, ad set, and ad implementation across paid social platforms such as Facebook Ads Manager and TikTok Ads Manager. 
• Perform audience research and optimize audiences for prospecting and retargeting; manage budget allocation, campaign structure, audience targeting, and content usage. 
• Conduct A/B testing to enhance ad performance by experimenting with different variations. 
• Monitor Facebook Ads Commerce Center, focusing on inventory updates, catalog set management, data feed, and troubleshooting. 

Paid Search Agency Collaboration: 

• Coordinate with a paid search agency to provide insights on product trends, monitor performance metrics from ongoing campaigns daily; develop strategic plans for budget allocation, campaign/ad group/ad structure, content usage, and bid strategy. 
• Conduct regular search term optimization, refine keyword lists, and update bestseller keywords, aligning sales trends, bestsellers, and inventory. 
• Adjust ad extensions, including images, sitelinks, callouts, and structured snippets, while optimizing quality scores by adjusting ad copies and landing URLs to ensure relevance and boost scores. 
• Conduct A/B testing to enhance ad performance by experimenting with different variations. 

Data Analysis & Performance Reporting:

• Strong quantitative and analytical skills with the ability to use data to optimize day-to-day campaign performance and conduct A/B testing to identify the most effective campaign elements
• Advanced-level Microsoft Excel skills, including pivot tables, VLOOKUP, complex formulas, and data modeling to derive actionable insights and generate comprehensive performance reports
• Build and configure dashboards in Looker Studio (formerly Google Data Studio)
• Conduct daily, weekly, and monthly performance tracking across Google Ads Manager, Meta Ads Manager, TikTok Ads Manager, and GA4, linking paid media performance directly to ecommerce sales outcomes
• Preferred experience with SQL, Python, and working with large datasets

Cross-Platform Strategy, Budget Pacing & Forecasting:

• Develop and maintain cohesive advertising strategies across Google Ads, Meta, and TikTok to optimize budget allocation and maximize ROI
• Consistently forecast and manage daily, weekly, and monthly budget pacing with micro-level detail, aligned with the Ecommerce Department Lead and Finance Department
• Evaluate and integrate affiliate marketing, email marketing, and SMS marketing opportunities into the broader digital strategy

Qualifications:

• Must have completed a 4-year BA/BS degree in a related field such as Data Science, Marketing, Economics, Business Administration, Statistics, etc. 
• 6 months to 2 years of paid media experience with strategy, execution, and analysis across platforms like Meta, TikTok, & Google Ads Manager, preferably within the luxury industry. 
• Must have proficiency in GA4/Google Analytics 4  
• Professional background from a top-tier marketing agency, e-commerce consumer brand, or paid marketing platform/tool provider. 
• Must be proficient at Excel for performance analysis (pivot tables, formula building, etc) 
• Passion for eCommerce and ongoing learning with a deep understanding of the digital marketing ecosystem and how media buying fits into the larger picture of digital marketing.) 
• Experience working with performance marketing metrics and platform reporting. 
• Strong analytical ability and problem-solving skills. Able to use data to optimize day-to-day performance. 
• Strong organizational skills and project management ability 
• Excellent command of written and verbal communication. 
• Adaptable and able to thrive in a fast-paced environment. 
• Local Applicants Only

Job Type: Full-Time, ON-SITE (not remote)

Pay Range: $75,000 - $81,000 per year

Benefits:

Dental Insurance

Health Insurance

Vision Insurance

Life Insurance

"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."

The IT QA Manager is responsible for overseeing all aspects of application and system quality assurance. This role ensures that software, systems, and infrastructure meet organizational standards, regulatory requirements, and customer expectations.

The QA Manager will collaborate closely with Solution Delivery Leaders, Business Stakeholders, Project Managers, and Development Leads to ensure successful solution implementations.

This role will lead both functional and non-functional testing efforts aligned with implementation requirements.

Principal Duties and Responsibilities

Duties and Responsibilities

• Develop and enforce QA policies, procedures, and standards.
• Lead the design and execution of test plans, including functional, integration, regression, and user acceptance testing (UAT).
• Manage defect tracking, root cause analysis, and resolution processes.
• Oversee QA team performance, training, and professional development.
• Collaborate with development, DevOps, and business teams to align QA efforts with project goals.
• Conduct audits and generate quality reports and metrics.
• Stay current with emerging QA tools, technologies, and best practices.

Minimum Requirements/Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.
• 8+ years of experience as a QA Manager, with expertise in quality management, schedule oversight, complex problem-solving, and performance optimization.
• 5+ years of experience developing executive-level documentation and QA performance metrics.
• Proven track record of building and managing high-performing QA teams, preferably within the retail domain.
• Extensive experience in test environment management, test data management, and test strategy development.
• Proficient in managing QA teams across Agile, Waterfall, and Hybrid project methodologies.
• Hands-on experience with a wide range of QA tools, systems, and software.
• Demonstrated success in managing distributed teams across onsite, offshore, and nearshore locations.
• Strong understanding of both manual and automated testing, including regression, integration, performance, and user acceptance testing (UAT).
• Deep experience in risk-based testing (RBT), performance testing, and test automation.
• Advocate for reusable components—both process and technical.
• Expertise in testing APIs, Web UI, SaaS, and desktop applications.
• Familiarity with JavaScript-based Web UI automation frameworks.
• Experience with scripting languages such as Java, JavaScript, or Python.
• Solid understanding of DevOps practices and implementing QA automation within CI/CD pipelines.
• Proven ability to deliver initiatives on time and within budget.

Desired Qualifications

• Familiarity with Section 508 compliance standards and accessibility testing.
• Professional certifications such as PMP, ITIL, Six Sigma, CCMP, or CISA.
• Experience with test automation tools including Rest Assured, Selenium, TestNG, JUnit, and Cucumber.
• Expertise in developing and maintaining Java-based automation frameworks and custom QA tools.
• Proficiency in performance testing tools such as JMeter, LoadRunner, or NeoLoad.
• Possession of external technical certifications, preferably cloud-based (e.g., Azure, or Google Cloud).

Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.

The Analyst II, Technical Support and Reporting is critical to the company delivering that iconic customer experience by providing data analysis business intelligence and data to support to operational strategies.

What you will do

• Conduct root cause analysis, solving basic to complex data challenges
• Leverage a variety of systems and databases to retrieve data
• Become a subject matter expert in system data and leverage that knowledge to identify critical data elements, translating those into key business metrics
• Maintain existing business reporting and monitoring dashboards for all areas of CAF to support the business in driving execution and managing performance
• Assist in the design and development of enhancements to reports and dashboards to transform the way CAF interacts with data
• Learn and utilize different tools, processes, and services, and work with mentors and peers to developed advanced technical and analytical skills
• Provide front line support on system’s data related questions or issues

Optimize operational efficiency with data

Our company’s success is motivated by our customer-centric, data-informed approach to problem solving, with an unparalleled focus on a company culture that supports our associates and our community. As an Analyst II, Technical Support and Reporting, you will have a direct hand in this effort by evaluating business needs and independently translating insights into meaningful business solutions through a combination of business knowledge and data analysis skills. It takes a tenacious enthusiasm for problem-solving, combined with an inherent passion for doing what’s right, to balance the needs of the business and our customers in these endeavors. You will be entrusted to work independently, in an environment that is collaborative, fast-paced, teamwork-centric, and ever-evolving.

Qualifications and Requirements

• Bachelor’s Degree preferred, in an analytical or technical major
• 1-3 years of experience in an analytical or technical role
• Excellent verbal, written, and interpersonal skills
• Experience required in SQL and DBMS technology; Snowflake preferred; Teradata, Microsoft SQL Server, Oracle, or other major data application acceptable
• Experience preferred in:
• SSRS/PowerBI
• Tableau
• Python
• GitHub or other version control software

Work Location And Arrangement: This role will be based out of Atlanta, GA CarMax Auto Finance Office (Kennesaw, GA). Associates will work onsite 5 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

• Enhance KPOP test infrastructure and test coverage.
• Develop and improve operational dashboards.
• Feature development and bug fixing.
• Build and maintain CI/CD pipelines.
• Collaborate effectively with team members and stakeholders.

• Proficiency in at least one high-level programming language (Python, Rust, Java).
• Experience with AWS services and good scripting capabilities.
• Proficiency in applying Data Structures and Algorithms to solve complex problems.

We are seeking a highly analytical and strategic individual to serve as the primary quantitative leader for our Digital Marketing organization. As the Senior Marketing Science Analyst, you will build and own the growth analytics function, setting the foundation for how we measure, model, and make decisions across the entire digital business - building the predictive models (Retention/Churn, CLV) and incrementality frameworks (MMM/Geo-Lift/DDA) that dictate how we spend our next million dollars. As a direct report to the VP, you are not just a reporter of performance—you are a strategist who uses advanced mathematics to engineer growth and operationalize insights across every digital touchpoint.

This is a high-impact, performance-based role designed to move beyond standard reporting. While we have established baseline infrastructure, you are expected to take our capabilities to the next level—building the predictive and causal models that directly engineer profitable growth. You will serve as the "analytical architect," responsible for unlocking deep customer insights, increasing the validity and speed of our KPIs, and translating complex data into clear, actionable strategies for the VP and broader marketing team. This individual will effectively exhibit JD Finish Line’s core values of Customer, People, Winning, Community, and Financial Responsibility in everything they do by performing the following main duties:

Growth & Performance Architecture

• Strategic Partnership: Act as the primary analytical partner for paid and retention channel owners to optimize performance and unlock channel-level efficiencies.
• Full-Funnel Ownership: Build and own the marketing analytics function, establishing how we measure the core drivers of the business and the impact of our actions on those drivers.
• Advanced Attribution: Transition the organization from baseline models to sophisticated Multi-Touch Attribution (MTA) and Market Mix Modeling (MMM) to drive profitable acquisition.
• Incrementality Testing: Design and lead "Scientific Lift" studies (e.g. Geo-tests) to measure the true causal impact of Meta, Google, and Brand campaigns.
• Market Mix Modeling (MMM): Maintain the statistical model that advises the VP on quarterly budget shifts between Paid, Owned, and Earned media.
• Full-Funnel Attribution: Manage the transition from basic last-click reporting to a multi-touch, data-driven attribution (DDA) model.

Customer Science & Program Development

• Model Development: Lead the development of programs that target customers across the full lifecycle using advanced statistical modeling, machine learning, and propensity scoring.
• Predictive Insights: Build and maintain predictive models (Churn, CLV, Next-Best-Action) that allow the CRM/retention team to automate 1-to-1 personalization.
• Data Harmonization: Collect, harmonize, and review data across disparate sources (Commerce Tools, Looker/Big Query, Meta, GA4, Braze) to ensure a unified view of the customer.

Strategic Partnership & Team Enablement

• Paid Media/Acquisition: Provide the Paid Media team with data-driven insights on bid optimization, budget allocation, and target audiences derived from MMM, MTA and CLV forecasts to lower blended Customer Acquisition Cost (CAC) while scaling volume.
• CRM/Retention: Collaborate closely with the CRM/Lifecycle team to operationalize models by feeding predictive scores directly into segmentation and personalization engines (e.g., Braze) to maximize conversion and retention rates.
• Executive Insight: Serve as the strategic analytical consultant to leadership, translating complex mathematical findings into clear, concise, and actionable business recommendations for investment decisions.
• Data Strategy: Partner with Data Engineering and IT teams to architect and ensure the integrity, governance, and flow of data from raw sources (E-commerce platform, Ad Platforms, appsflyer, etc) into the cloud data warehouse for modeling purposes.

Experimentation & Rigorous Analysis

• Scientific Testing: Design and execute rigorous experiments (A/B, Multivariate, and Geo-Lift) to isolate the true causal impact of marketing initiatives.
• Visual Storytelling: Formulate key insights, charts, and reports for high-level presentations to the VP and executive leadership, turning complex coefficients into business narratives.
• KPI Visibility: Increase the transparency and accuracy of core business metrics, ensuring the team is making decisions based on "valid" and "real-time" data.

Requirements

• Education: B.S. or M.S. in a quantitative field (Statistics, Economics, Mathematics, or Data Science).
• Professional Experience: 4-8 years in Marketing Analytics or Data Science, with at least 3 years in a high-volume Retail/E-commerce environment.
• Strategic Acumen: Proven ability to translate complex data into business strategy and present to executive-level stakeholders. Experience working independently on analytical tasks, building, and optimizing ‘big data’ pipelines, architectures, and data sets
• Experience developing and delivering exec-level presentations using insights derived from analytics
• Strong working knowledge of Microsoft PowerPoint and Excel
• Coding & Data Science: Expert proficiency in SQL and Python
• Web Analytics & BI: Expert experience with Google Analytics 4 (GA4) and a major BI/Visualization platform (preferably Looker).
• Marketing: Direct working experience with the data output of a major CRM/E-commerce platform (e.g., Commercetools, Braze, etc).
• Visualization: Mastery of Looker to build executive-level dashboards.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Sit for more than 6 hours per shift
• Use hands to finger, handle and feel
• Reach with hands and arms
• Talk and/or hear
• Stand for up to 2 hours at a time regularly
• Walk or move from one location to another regularly
• Periodically may need to climb, balance, stoop, kneel, or crouch
• Lift and/or move up to 10 pounds regularly and up to 50 pounds occasionally
• Punctuality and regular attendance consistent with the company’s policies are required for the position.
• Average workweek is 40 hours, which can vary depending on business need.
• The work environment for this position is a moderately noisy office setting.

#LI-DNI

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

Title: Security Network Engineer

Direct Hire Opportunity

No Sponsorship

Hybrid - 4 Days onsite

We are looking for an experienced Security Network Engineer with deep practical expertise in security architecture to help shape, deploy, and maintain secure network and cloud infrastructures across the enterprise. This position blends actively functional duties and technical implementation across departments.

Requirements:

• 5+ years of professional experience in cybersecurity roles.
• Proven track record of hands-on security architecture and design work.
• Advanced knowledge of enterprise-grade firewalls, with Palo Alto Networks as a preferred platform.
• Solid grasp of core networking concepts including TCP/IP, routing protocols, switching, and effective network segmentation techniques.
• Practical experience securing cloud environments, particularly AWS and/or Azure.
• Familiarity with SIEM technologies and vulnerability management processes.
• Scripting or automation skills (e.g., Python, PowerShell, Terraform) are highly desirable.
• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent practical experience.
• Relevant certifications are a strong plus (though not mandatory): CISSP, PCNSE, CCNP/CCIE Security, CCSP, or Azure Security Certification
• Experience with acquisitions is a plus

Responsibilities:

• Develop and deploy comprehensive security architectures for both on-premises networks and cloud platforms.
• Champion and execute Zero Trust strategies, including advanced network segmentation and granular access controls.
• Design, configure, and oversee next-generation firewall solutions (strong preference for Palo Alto Networks experience).
• Harden hybrid and multi-cloud setups, with focus on AWS and/or Azure environments.
• Perform threat modeling, risk evaluations, and detailed security assessments to support new projects and changes.
• Provide advanced (Tier 3) incident response support, including in-depth root cause investigations.
• Proactively enhance the organization's overall security maturity through ongoing improvements.
• Assist in creating, maintaining, and delivering security awareness, training, and educational programs for leadership, technical teams, and end users.
• Oversee and maintain endpoint security solutions, web/content filtering, firewall rulesets, intrusion detection/prevention systems (IDS/IPS), SIEM tools, and vulnerability scanning platforms.

Comprehensive Benefits Provided