Colab Python Version Jobs Salary Jobs in Usa

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

Role Overview

We are seeking a highly experienced Senior AI Architect to lead the design and implementation of enterprise-scale Agentic AI systems and multi-agent orchestration platforms. This role requires deep expertise in LLM-based architectures, distributed systems, and cloud-native infrastructure.

As a technical authority, you will guide enterprise clients through their Agentic AI transformation, from evaluating AI frameworks and communication protocols to deploying scalable, production-ready AI automation solutions.

You will work at the forefront of GenAI platform engineering, designing architectures that power intelligent automation, enterprise knowledge systems, and AI-driven workflows.

Key Responsibilities

Agentic AI Architecture & Design

• Design and implement end-to-end multi-agent orchestration systems for enterprise automation and decision intelligence.
• Define agent design patterns, including agent roles, delegation frameworks, task decomposition, and orchestration strategies.
• Architect scalable agent ecosystems with lifecycle management, monitoring, fallback mechanisms, and human-in-the-loop capabilities.
• Evaluate and implement inter-agent communication protocols such as MCP, A2A, REST, gRPC, JSON-RPC, and event-driven messaging.

GenAI & Foundation Model Integration

• Select and integrate LLMs and foundation models (OpenAI, Anthropic, Gemini, Mistral, Llama, etc.) based on task requirements.
• Develop advanced prompt engineering and context management strategies, including:
• Few-shot prompting
• Chain-of-thought reasoning
• Retrieval-Augmented Generation (RAG)
• Structured output pipelines
• Implement tool and function calling patterns enabling agents to interact with enterprise APIs, databases, and services.
• Optimize context window management, token budgets, and dynamic context injection for scalable production systems.

State Management & Agent Memory

• Architect stateful AI systems with short-term, long-term, and episodic memory layers.
• Implement persistence strategies using:
• Vector databases
• Key-value stores
• Graph databases
• Relational systems
• Design auditable and idempotent execution patterns suitable for enterprise governance and compliance requirements.

Microservices & Platform Engineering

• Build AI platforms using loosely coupled microservices with scalable APIs and observability built in.
• Deploy AI systems using container orchestration platforms such as Kubernetes (EKS, AKS, or GKE).
• Establish CI/CD pipelines for AI workloads including model versioning, prompt versioning, and deployment strategies.
• Promote Infrastructure-as-Code (IaC) using tools like Terraform and GitOps deployment practices.

Enterprise Client Engagement

• Partner with enterprise stakeholders to assess AI readiness and automation opportunities.
• Translate complex business requirements into scalable AI system architectures.
• Provide guidance on build vs. buy decisions for AI frameworks and vendor tools.
• Produce architecture documentation, reference designs, and implementation playbooks.

Required Qualifications

• 8+ years of experience in software engineering or platform architecture.
• 3+ years of experience designing AI/ML systems or GenAI platforms.
• Hands-on experience building multi-agent or agentic AI orchestration systems in production.
• Strong experience with agent frameworks such as:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
• Expertise integrating LLMs, embeddings, tool/function calling, and RAG pipelines.
• Deep knowledge of microservices architecture, distributed systems, and API design.
• Experience with container orchestration (Kubernetes preferred) and cloud platforms such as GCP, AWS, or Azure.
• Strong programming skills in Python, with additional experience in TypeScript, Go, or Java preferred.

Preferred Qualifications

• Experience working with enterprise clients or consulting environments.
• Knowledge of AI governance, responsible AI, and compliance frameworks.
• Familiarity with model fine-tuning, RLHF, or adapter-based model customization.
• Experience with AI observability tools such as LangSmith, Arize AI, or OpenTelemetry.
• Experience working with vector databases (Pinecone, Weaviate, Qdrant, pgvector).
• Contributions to open-source AI or agentic system projects.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems in air and space that impact people’s lives around the world today, and for generations to come. Our work preserves freedom, democracy, and advances human discovery and our understanding of the universe. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have a lot of fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.

Northrop Grumman has an opening for a Principal or Senior Principal DevOps Engineer to join our team of qualified, diverse individuals. This position can be located in Roy, UT, Bellevue, NE, or Huntsville, AL.

As an DevOps Engineer, you will

• Develop scripts, workflows, and playbooks for storage provisioning, automation, and backup integration.

• Design, build, maintain and own SDP‑compliant CI/CD pipelines, ensuring they incorporate security checks, automated patching, and governance requirements.

• Develop containers with Podman and orchestrate deployments on Kubernetes (or similar platforms).

• Create and maintain IaC using Ansible (or comparable tools) to provision and configure cloud resources, containers, and networking components.

• Write automation scripts and playbooks in Python, Go, Bash, or other languages for building images, running SAST scans, and automating repetitive tasks.

• Develop and evolve build, deployment, and release processes, including versioning, artifact storage, and promotion across environments.

Basic Qualifications

• Must have an active U.S. Government DoD Secret security clearance at time of application, current and within scope, with an ability to obtain and maintain Special Access Program (SAP) approval as determined by the company to meet its business need

• Hold or have the ability to obtain Security + CE (or other DoD 8570/8140 certification)

• Level 3 (T3): 5 Years with Bachelors in Science from an accredited university; 3 Years with Masters; 1 Year with PhD or

  4 additional years of relevant experience in lieu of a degree.

• Level 4 (T4): 8 Years with Bachelors in Science from an accredited university; 6 Years with Masters; 4 Years with PhD or

  4 additional years of relevant experience in lieu of a degree.

• Experience with developing CI/CD workflows and utilizing tools such as Nexus, Maven, Jira, GitLab, and Release Management

• Hands-on experience with Infrastructure as Code tools (e.g., Puppet, Chef, Ansible.)

• Programming and scripting experience in a UNIX environment (GoLang, C++, Perl, Python, Bash, Ruby, Shell, Scripts)

Preferred Qualifications

• Experience with Kubernetes, Docker, and/or other cloud orchestration tools and technologies

• Experience with Podman, Buildah, Skopeo and/or other container tools and technologies

• Experience with CI/CD best practices, automated builds and tests, quality gates, software quality, and CI tools, i.e., Jenkins

• Experience with configuration management tools, i.e., Git, GitHub,

• GitLab, Bitbucket, others Familiarity with branching strategies, gated commits, source-controlled management, etc. Familiarity with the principle of DevSecOps

• Familiarity with Atlassian Tool Suite Jira, Confluence Familiarity with using a Nexus Repository

• Familiarity with security coding standard best practices, static and dynamic scanning tools, i.e., SonarQube, Fortify, Coverity, PCLint, Anchore, Nexus Lifecycle, etc.

• Familiarity with Agile Development

• 
  
• Design, develop, and maintain scalable data pipelines using Snowflake as the core data warehouse platform
  
• Build and optimize data ingestion processes for both batch file-based loads and real-time streaming data from various sources
  
• Implement data transformation logic using Snowflake SQL, stored procedures, and Python integration Collaborate with data architects and analysts to understand business requirements and translate them into technical solutions
  
• Monitor and troubleshoot data pipeline performance, ensuring high availability and data quality
  
• Develop and maintain documentation for data processes, data models, and system architecture
  
• Work closely with DevOps teams to implement CI/CD practices for data pipeline deployments
  

• 
  
• Bachelor's degree in Computer Science, Information Systems, or related technical field
  
• Minimum 4+ years of experience in data engineering or related roles
  
• Proven track record of delivering production-ready data solutions at scale
  
• Experience with version control systems (Git) and collaborative development practices
  

• 
  
• Snowflake certifications (SnowPro Core or Advanced certifications)
  
• Experience with Infrastructure as Code tools (Terraform, CloudFormation)
  
• Knowledge of containerization technologies (Docker, Kubernetes)
  
• Familiarity with data visualization tools and business intelligence platforms
  
• Experience with data quality frameworks and monitoring tools
  

At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you'll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

As a Software Development Engineer, you will represent Embedded Quality in the Software organization. You will have a direct impact on the business, advancing the platform for both internal and external customers. You'll be exposed to a large variety of the foundational pieces of the Sonos system - music playback, device-to-device interaction, partner services, and much more. In addition, you'll be tasked with creating a development pipeline with quality at its core. You will be expected to understand the features being built and automate testing of those features. In addition, you will work with a team of industry-leading innovators across many different disciplines such as hardware, product management and user experience. If you love music, solving challenging problems and delivering high-quality products, we want to talk with you!

What You'll Do

• Develop and improve the team's automated CI/CD release pipeline, with quality as its foundation.

• Develop automated tests for new software features, especially around partners and control API

• Monitor, debug, and fix breakages within our automated pipeline.

• Add and democratize new forms of data and metrics to allow the team to make decisions on where to focus and improve our tests.

• Be an active participant and engaged part of your Scrum team - you are the voice of both quality and the customer during the development process.

• Review requirements, behavior specifications, and design documents to begin test development early and uncover issues prior to implementation.

• Investigate log, track, and triage bugs to determine root cause and establish prioritization.

• Advocate Software Quality within Sonos

What You'll Need

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria.

Basic Qualifications

• Bachelor's Degree in Computer Science, Software Engineering or equivalent experience

• 1-5 years of experience in automation, preferably with embedded systems

• Demonstrated proficiency writing code for automation with one or more of the following: Python, Javascript, C/C++

• Experience with version control such as Git, Perforce, etc

• Knowledge on data instrumentation and telemetry for Software Quality

• This role requires commuting distance to our main engineering office in Boston. Qualified candidates must be able to be in our office at least once a week. (#LI-Hybrid)

Preferred Qualifications

• Experience with REST and/or Websocket based APIs

• Experience with CI/CD build and release pipelines: Github Actions, Jenkins, Azure Pipelines, etc

• Experience with the following technologies:

  • Embedded, Restful API and Cloud automation testing tools in a B2B model

  • OpenAPI Specifications, Data Telemetry and Code Instrumentation

  • Test Automation Frameworks in Python

  • JIRA

  • Kubernetes and Docker containerization

  • Linux as a development platform

  • Tableau, Kibana, DataDog and other system reliability and quality tracking tools

Visa Sponsorship: Sonos is unable to sponsor or take over sponsorship of an employment visa for this role at this time. We ask that applicants be authorized to work for any US employer, both now and in the future.

Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.

The base pay range for this role based off geographic location is:

The specific pay offered will depend on the candidate's geographic location, as well as qualifications and experience. We apply geographic pay differentials based on the cost of labor in the market. Employees in high-cost locations may be compensated at the upper end of the range, while those in medium or low cost markets may be compensated at the lower end of the range. Your recruiter can provide more details about the specific salary range for your location during the hiring process.

Please note that compensation details listed in US job postings reflect the base salary only, and do not include bonus, equity, or benefits.

We also offer a comprehensive benefits program with choice and flexibility in mind to help support the health, wealth, and overall well-being of our employees. Regular full time employees in the US are eligible for benefits on day one, including:

• Medical, Dental, and Vision Insurance

• A 401(k) plan with company matching and immediate vesting

• An Open Time Off policy (OTO) so you have maximum opportunity to disconnect and recharge, with no tenure-based vacation accruals required

• 80 hours of sick time upon hire, refreshed annually

• Up to 12 paid holidays per calendar year

• Sonos offers a generous paid leave program for new parents or to care for a family member with a serious health condition, as well as short- and long-term disability for your own medical condition

• Company-paid Disability, Life, and AD&D Insurance

• Voluntary benefits, including Voluntary Life, AD&D, Accident, and Pet Insurance

• Mental health benefits to support your holistic well-being

• A generous employee discount program & Sonos Radio HD - on us!

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Notice to U.S. Job Applicants: Sonos is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Sonos is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a Senior Backend Engineer with expertise in Python, you will collaborate with a small team of remote engineers to enhance our flagship customer-facing product. You should possess a deep understanding of fundamental engineering principles and have practical experience in web development, automated testing, version control, continuous deployment, infrastructure management, and agile planning.

This role is ideal for someone who's ready to go beyond shipping features, who acts as a force multiplier for the team by helping to shape architecture, elevate technical quality, and support the Engineering Manager in mentorship and planning. You won't be responsible for direct people management, but you'll be a go-to partner in helping the team grow, unblock, and thrive.

What you'll do:

• 
  
• Own and deliver key product features from design through deployment, working closely with design, product, and other stakeholders.
  
• Mentor and support engineers, offering guidance and helping to reinforce high engineering standards across the team.
  
• Collaborate closely with design, product, and cross-functional stakeholders to deliver a user-friendly and engaging product for our customers.
  
• Ship high-performing and resilient APIs that adhere to industry standards and are delightful to use.
  
• Step into a technical lead role on projects as needed, coordinating across functions and guiding execution without formal authority.
  
• Maintain a high standard of quality across our codebase by advocating for cleanliness, readability, speed, testability, and documentation.
  
• Champion software quality, emphasizing readability, reliability, testability, and documentation.
  

What we're looking for:

• 
  
• Experience working with Python backends (ideally Django).
  
• Exceptional remote communication skills. Especially in writing.
  
• The ability to work autonomously in a startup environment; you thrive under pressure and are comfortable adapting to rapidly evolving plans.
  
• Proven production experience working with a relational database (we use MySQL). Bonus points for experience working with other types of datastores or backing services.
  
• A rigorous approach to software quality. You like to write tests.
  
• A knack for learning new technologies, strong problem-solving skills, and an openness to creative solutions.
  
• A genuine passion for crafting reliable web applications. You get it right the first time.
  
• Computer Science degree or equivalent.
  
• Nice-to-Haves:
  
  • 
    
  • Adtech Experience.
    
  • Specific Domain Experience in CTV.
    
  • Familiarity with AWS services, experience working in a microservice architecture or with containerization technologies.
    
  • Previous involvement in a production environment with a customer-facing reporting and analytics system.
    
  • Experience working with other types of datastores or backing services, like Redis.
    
  
  
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

We areseekingan experienced and forward-thinkingSolution Architect - Data Engineeringto lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have deep expertise withPython and SQL, experience with data warehouses (Snowflake or something similar), a strong command ofengineering best practices(includinglinters and code formatters, project organization, and managing environments), and practical experience buildingCI/CD pipelinesto ensure robust, automated delivery of data pipelines and services.

• 
  
• Architect Scalable Data Solutions
  Design and implement end-to-end data engineering architectures that are scalable, maintainable, and performant across batch and real-time processing systems.
  

• 
  
• Engineering Leadership
  Lead by example with high-quality Python code,utilizinglinters (e.g.,pylint,flake8,black) and enforcing code cleanliness, readability, and best practices across teams.
  

• 
  
• CI/CD Pipeline Development
  Build, manage, and optimize CI/CD pipelines using tools such asGitHub Actions,GitLab CI,CircleCI, orJenkinsto automate testing, code quality checks, and deployment of data engineering components.
  

• 
  
• Data Governance & Quality
  Establish data validation, logging, and monitoring strategies to ensure data integrity and reliability at scale.
  

• 
  
• Collaborate Cross-Functionally
  Work closely with data scientists, software engineers, DevOps, and business stakeholders to translate requirements into technical solutions and ensure alignment with overall enterprise architecture.
  

• 
  
• Mentorship & Code Reviews
  Provide guidance to junior developers, lead technical reviews, and enforce clean coding standards throughout the data engineering team.
  

• 
  
• 7+ years of experience in software or data engineering, with 3+ years in an architectural or technical leadership role.
  

• 
  
• Expert-levelproficiencyinPython and SQL, with a deep understanding of best practices, performance tuning, and maintainable code patterns.
  

• 
  
• Proven experience withlinters,formatters, and other static analysis tools to ensure code quality and compliance.
  

• 
  
• Hands-on experience designing and implementingCI/CD pipelinesfor data pipelines, APIs, and other backend services.
  

• 
  
• Solid knowledge of modern data platforms and technologies (e.g., Spark, Airflow,dbt, Kafka, Snowflake,BigQuery, etc.).
  

• 
  
• Strong understanding of software engineering practices such as version control, testing, and continuous integration.
  

• 
  
• Experience working in cloud environments (AWS, GCP, or Azure).
  
• Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
  
• Understanding of security, compliance, and governance in data pipelines.
  
• Excellent communication and documentation skills.
  
• Strong leadership presence with the ability to mentor and influence teams.
  
• Problem-solver with a focus on delivering value and simplicity through technology.
  

We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family.The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee's/applicant's skill set, level of experience, and qualifications.

It is the policy of our company to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions.

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Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking an Experienced Embedded Software Engineerto support ourPrecision Engagement Systems located in Saint Charles, MO.The Precision Engagement Systems organization is a strong and growing business that produces a variety of precision-guided weapons, which are employed around the world to support the defense of the United States and more than 30 U.S. allied countries.

Our leadership team is committed to attracting and developing top talent to support critical Direct Attack (DA) and Cruise Missile Systems (CMS) missions. Aligned with customer objectives, we deliver tailored software solutions through our exceptional workforce. In Saint Charles, MO, we support Direct Attack weapons (JDAM, SDB, MOP, HAAWC and derivatives) and Cruise Missiles (SLAM-ER, Harpoon legacy and development weapons) deployed on a range of military aircraft and select ground platforms.

Join Us. Build the Future.

We are seeking talented experienced software engineers to work with a multi-discipline engineering team to design and develop software solutions for these platforms. Engineers on this team work in all phases of the software development lifecycle.We are actively building the team to achieve a growing work scope that includes implementing real-time embedded software applications, creating models and simulations, deploying DevOps methodologies and development environments, developing support applications, and maintaining software configurations and processes for an Agile development lifecycle.

Why Boeing:

• Work on systems that matter—delivering mission-critical capabilities with global impact.
• A culture that supports technical excellence, mentorship, and professional growth.
• The resources and partnerships to take on ambitious engineering challenges and see ideas through to deployment.
• A comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, industry leading 401k matching, very generous tuition assistance for earning advanced degrees, and paid medical leave programs. For more information, click here.

Why St. Charles, MO:

• On-site cafeteria offering hot meals and grab-and-go options.
• Active Employee Resource Groups (ERGs) providing networking, mentorship, and community engagement.
• Campus walking path and outdoor spaces for breaks, walking meetings, and wellness activities.
• Fitness and wellness programs, local commuter resources, and community events.

Position Responsibilities:

• Collaborate with a multi-discipline engineering team to create and implement Operational Flight Program software solutions
• Contribute in all phases of the software development lifecycle in an Agile development environment
• Develop solutions using Ada, C#, and Python
• Test your software and assist system level testing to verify correct software functionality
• Analyze problem reports and troubleshooting software defects
• Develop leadership skills and experience
• Opportunity to work directly with United States Air Force and Navy customers

Basic Qualifications (Required Skills/ Experience):

• 3+ years of experience in real-time embedded software development
• 3+ years of experience in developing software using Object Oriented principles
• 3+ years of experience working in a team environment

Preferred Qualifications:

• Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, computer science, computer engineering, software engineering or equivalent experiencestrongly preferred
• Active U.S. secret clearance
• Experience with Ada, Python, or C#
• Experience working in an Agile software development environment
• Experience with Git or a similar version control system
• Experience developing and tracing software requirements

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Relocation:

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

CodeVue Coding Challenge:

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range for Experienced Level (Level 3): $119,000 - $161,000

Applications for this position will be accepted until Mar. 27, 2026

Export Control Requirements:

This is not an Export Control position.

Relocation

This position offers relocation based on candidate eligibility.

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer: