Explore 4 python developer iii jobs from 3 hiring companies in Sumas, WA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

python-developer-iii

Python Developer Iii

Lynden

Bellingham

Ferndale

Peaceful Valley

Anacortes

Mount Vernon

Birch Bay

Everson

Sudden Valley

Sedro-Woolley

Burlington

Nooksack

Blaine

Marietta-Alderwood

Marietta

Geneva

Friday Harbor

Big Lake

Point Roberts

Python Developer Iii Jobs

Workday

Best Buy Canada

Electronic Arts

Hybrid

Remote

Infrastructure & Platform Services builds and runs the technology foundation for EA's games. Our teams deliver the live services and backend infrastructure that are used to ship, scale, and operate secure, reliable game experiences for millions of players worldwide.
As a Software Engineer III, you will report to a Senior Engineering Manager. You will join the Integrated Content team at the center of our User-Generated Experiences (UGX) technology for enriching and distributing player-driven content.
This is a temporary full-time position (12-months).

Responsibilities
You will develop dynamic, responsive, and resilient systems.
You will design and implement automated AI workflows for self service onboarding.
You will implement automated data migration and data back up strategies for system back up and restore.
You will design, implement and maintain complex systems and features end-to-end.
You will implement security best practices including access control for ingestion and search platforms.

Qualifications:
6+ years of professional experience programming back-end services
Expertise in Scala or Java
Proficiency in Python
Experience implementing AI solutions and workflows
Experience delivering and managing high traffic, high performance services
Expertise in Search Platform technologies including OpenSearch or ElasticSearch
Exposure to both imperative and functional programming languages
Experience deploying and maintaining virtual infrastructure on AWS (e.g. EKS, OpenSearch, Terraform), or other cloud providers
Experience building CI/CD Pipelines

Bonus:
Experience working with Flink or similar streaming platform
Experience with AWS migration solutions like Glue, Data Sync or DMS

This is a hybrid remote/in-office role.

Software Engineer III - UGX (temporary)

Software Engineer III

Backend software engineer with 6+ years, proficient in Scala/Java, Python, AWS, OpenSearch/ElasticSearch, CI/CD, and AI workflows.

Network Engineer III Join us as a network engineer III, where you will play a key role in leading, designing, and evolving large-scale enterprise network infrastructure across corporate, retail, and data center environments. This role blends advanced technical expertise, project leadership, and cross-team collaboration.As a network engineer III, you will act as a technical authority, helping guide architectural decisions, improve operational maturity, and support multi-year modernization initiatives as well as supporting our customers operationally. You’ll influence standards, tooling direction, and best practices while empowering the broader team.We practice a remote first working model, leveraging in person interactions at our head office, in beautiful Vancouver, BC, for strategic, collaborative and social purposes.Core Responsibilities<ul><li>Provide advanced support for network operations across a broad spectrum of technologies, including routing, switching, load balancing, security, DNS, Cloud, WiFi, etc</li><li>Shape and support network strategy and modernization by advising stakeholders, contributing to roadmap planning, and delivering scalable, resilient infrastructure initiatives across stores, regional offices, warehouses, and datacenters</li><li>Serve as a trusted technical advisor to stakeholders and product teams, while acting as an escalation point for complex incidents, leading root cause analysis and driving automated, repeatable remediation  </li></ul>Observability &amp; Automation<ul><li>Design, implement, and continuously evolve network monitoring and observability to enable proactive detection, rapid response, and data-driven decision-making.</li><li>Develop actionable dashboards, intelligent alerts, and automated responses, integrating them into Incident and Change Management workflows to improve visibility and stability.</li><li>Identify, design, and implement automation solutions that improve consistency, efficiency, and reliability across the network environment helping to migrate to a more automated framework.k  </li></ul>Leadership &amp; Growth Mindset<ul><li>Demonstrated ability to lead technically, influence decisions, and mentor others</li><li>Comfortable owning outcomes, not just tasks</li><li>Strong communication skills with the ability to lead discussions with technical and non-technical stakeholders  </li></ul>Experience &amp; Expertise<ul><li>5&#43; years supporting large-scale enterprise network environments.</li><li>5&#43; years experience using SolarWinds and(or) creating NetFlow dashboards.</li><li>5&#43; years with Infoblox, Azure, Fortinet, Juniper, Cisco, and F5</li><li>5&#43; years with firewall and security technologies (e.g., IPSEC, GRE, UTM, IDS/IPS)</li><li>4&#43; years with routing and switching technologies (e.g., BGP, OSPF, VPC, VSS, STP, MPLS, Load Balancing)</li><li>4&#43; years experience with Automation tools including Python, Ansible, or GitHub</li></ul>About Best BuyAs Canada&#39;s destination for the coolest tech, Best Buy offers one of the best work environments in the country! Our culture is one of inclusivity and belonging and provides employees an environment where they can bring their whole selves to work.We believe in a fair and inclusive hiring process.  We encourage you to apply if you may not meet all the requirements.Join our amazing team!We are looking for people just like you.Annualized Compensation Range$95,000.00 - $105,000.00This job is eligible for a company performance bonus in addition to the compensation range above. Starting pay offered will consider skills and experience. Your pay can grow as you build your career with us. Suite 102 - 425 West 6th Avenue, Vancouver, BC V5Y 1L3 This posting is for a vacancy.

Network Engineer III

5+ years in large-scale enterprise networks; experience with SolarWinds/NetFlow dashboards, Infoblox/Azure/Fortinet/Juniper/Cisco/F5; firewall/security tech (IPSEC, GRE, UTM, IDS/IPS); routing/switching (BGP, OSPF, MPLS, VPC, VSS, STP); automation (Python, Ansible, GitHub).

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamDo you want to build impactful, AI features and solutions that will be used by millions of end-users? We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us and make it easier and balanced for millions of Workday users! This role is focused on building the systems and tooling required to host and scale agent-based applications powered by LLMs. You will work across the platform stack to create reusable capabilities for agent execution, workflow orchestration, observability, evaluation, reliability, and developer experience. You’ll partner closely with applied AI, product, and infrastructure teams to define how agents are built and operated across the organization. This is an ideal role for someone who enjoys solving hard engineering problems in a fast-evolving technical space and wants to shape the foundation for the next generation of AI applications.About the RoleWe are looking for a Machine Learning Engineer to help design and build our Agent Platform—the core infrastructure that enables teams to develop, deploy, orchestrate, and operate AI agents in production. This role is focused on building the systems and tooling required to host and scale agent-based applications powered by LLMs. You will work across the platform stack to create reusable capabilities for agent execution, workflow orchestration, observability, evaluation, reliability, and developer experience. You’ll partner closely with applied AI, product, and infrastructure teams to define how agents are built and operated across the organization. This is an ideal role for someone who enjoys solving hard engineering problems in a fast-evolving technical space and wants to shape the foundation for the next generation of AI applications.Responsibilities:<ul><li>Design and build the core platform capabilities required to develop, host, and operate AI agents at scale.</li><li>Develop infrastructure and services for agent execution, orchestration, state management, and runtime reliability.</li><li>Build reusable abstractions, frameworks, and workflows in Python to support agent development patterns across teams.</li><li>Design and implement systems for tool use, memory, retrieval, workflow coordination, and human-in-the-loop interactions.</li><li>Build and maintain services deployed on Kubernetes, with a focus on scalability, resiliency, and operational excellence.</li><li>Develop capabilities for evaluation, tracing, observability, debugging, and performance monitoring of agent behavior in production.</li><li>Improve platform performance across latency, throughput, fault tolerance, and cost efficiency.</li><li>Create internal APIs, SDKs, and developer tooling that make it easier for engineering teams to build on the platform.</li><li>Partner with cross-functional teams to productionize new agent use cases and establish common platform patterns and best practices.</li><li>Contribute to technical architecture and help define the roadmap for agent infrastructure and platform evolution.</li></ul>About YouBasic Qualifications (MLE III):<div><div><div><div><div><div><div><div><div><ul><li>3&#43; yrs experience as part of a data science, machine learning software development team or relevant work in a PhD or equivalent program.</li><li>5&#43; years experience in Python and experience building reliable, maintainable production services.</li><li>3&#43; years experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.</li><li>3&#43; years experience designing systems with a focus on scalability, reliability, observability, and maintainability.</li></ul></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div>Basic Qualifications (Sr. MLE):<ul><li>6&#43; years of software engineering experience, including experience building and operating production-grade backend, ML, or platform systems.</li><li>8&#43; years experience in Python and experience building reliable, maintainable production services.</li><li>5&#43; years experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.</li><li>5&#43; years experience designing systems with a focus on scalability, reliability, observability, and maintainability</li></ul>Preferred Qualifications:<ul><li>Experience building or supporting agent platforms, AI infrastructure, or internal developer platforms.</li><li>Experience building and deploying machine learning or LLM-powered applications in production.</li><li>Familiarity with LLM application patterns, including:<ul><li>Tool calling</li><li>Retrieval-augmented generation (RAG)</li><li>Memory and context management</li><li>Multi-step workflows and orchestration</li><li>Human-in-the-loop systems</li></ul></li><li>Experience designing and implementing evaluation frameworks for LLM or agent quality.</li><li>Familiarity with vector databases, model serving, prompt/version management, and experimentation tooling.</li><li>Solid knowledge of Data Science principles and their application in NLP</li><li>Experience running services in Kubernetes-based environments.</li><li>Ability to work across ambiguity, make strong technical tradeoffs, and drive projects from concept to production.</li><li>Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI teams.</li></ul></div></div></div></div></div></div></div></div></div> Workday Pay Transparency StatementWorkday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="http://benefits.workday.com/">click here</a>.Primary Location: CAN.ON.TorontoPrimary Location Base Pay Range: $156,000 CAD - $234,000 CADPrimary CAN Base Pay Range: $156,000 - $234,000 CAD Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform

Machine Learning Engineer

MLE III: 3+ yrs in ML software; 5+ yrs Python; 3+ yrs distributed systems; scalability focus. Sr MLE: 6+ yrs software eng; 8+ yrs Python.

Your work days are brighter here.We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you&#39;re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.About the TeamThis is a very exciting opening in the AI Platform team in our Agent Optimization &amp; Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500. Our mission is two-fold: 1. Agent Optimization &amp; Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite. 2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution. Why Join Us? 1. The Data &amp; Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets. 2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally. 3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration. We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.About the RoleWe are seeking pragmatic ML and Senior ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users. If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.In this role, you would:<ul><li>Architect Agentic AI: Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.</li><li>Drive Meta-ML &amp; Optimization: Develop algorithms for automated node-level optimization within agent graphs, identifying the best LLM and prompt configurations for every workflow step. Build recommender systems for engineering teams to drive optimal evaluation for their agents.</li><li>Advance Information Retrieval: Build hybrid, agentic search systems and semantic parsing products (Text-to-SQL/Python) utilizing vector search, reasoning, and fine-tuning for structured output.</li><li>Scale Evaluation &amp; Observability: Engineer cloud-based pipelines (Kubeflow) and A/B testing frameworks for rigorous offline/online evaluation, failure attribution, and safety monitoring.</li><li>Lead the ML Lifecycle: Own the end-to-end MLOps process—from exploration and prompt engineering to scalable production deployment—ensuring high-quality, reliable performance.</li><li>Define Strategic Roadmaps: Independently identify ML opportunities, propose high-impact solutions to leadership, and integrate industry best practices across the organization.</li><li>Collaborate with Autonomy: Work cross-functionally with PMs and Engineers to deliver &#34;AI-first&#34; products, enjoying full ownership of your work within a supportive, growth-oriented culture.</li></ul>About YouBasic Qualifications (MLE III)<ul><li>Deep Technical ML Capability: 3&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Basic Qualifications (Senior MLE)<ul><li>Deep Technical ML Leadership: 6&#43; years of experience researching, developing and deploying production-grade ML systems, including expertise in deep learning, NLP,  Information Retrieval, and recommender systems using frameworks like PyTorch or TensorFlow.</li><li>Generative AI &amp; Agentic Systems: Proven track record of building and evaluating LLM-powered products, including expertise in RAG architectures, agentic frameworks (e.g., LangChain/LangGraph), and long-context LLM applications (e.g., Text-to-SQL).</li><li>Engineering Excellence: Expert-level Python skills with a focus on modular library design, asynchronous patterns, and scalable system architecture (state management/error handling) for non-deterministic AI outputs.</li><li>Production MLOps: Hands-on experience with the full ML lifecycle, including model fine-tuning (PEFT), evaluation frameworks (e.g., DeepEval/RAGAS), and cloud-native deployment (Docker/K8s, AWS/GCP).</li></ul>Other Qualifications<ul><li>Academic Foundation: Advanced degree (Master’s or Ph.D.) in a quantitative field or a strong portfolio of peer-reviewed research publications.</li><li>Optimization &amp; Advanced Techniques: Proficiency in techniques like DSPy, Reinforcement Learning, imitation learning, graph neural networks, multi-modal models, and large-scale data processing (PySpark, SQL).</li><li>Experimental Rigor: A &#34;test-everything&#34; mindset with experience in A/B testing, Knowledge Graphs, and &#34;Golden Dataset&#34; curation for model benchmarking.</li><li>Data Pipelines: Proficiency in large-scale data processing (PySpark, SQL).</li><li>Collaborative Leadership: Demonstrated ability to lead cross-functional teams, mentor junior engineers, and solve ambiguous problems with high autonomy.</li></ul>#LI-JH1 Workday Pay Transparency StatementThe annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please <a target="_blank" href="https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates">click here</a>.Primary Location: CAN.ON.Toronto  Primary Location Base Pay Range: $156,000 CAD - $234,000 CAD  Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USDAdditional Considerations: If performed in Colorado, the pay range for this job is $171,600 - $257,400 USD based on min and max pay range for that role if performed in CO.<div><div><div><div><div><div><div>The application deadline for this role is the same as the posting end date stated as below:  </div></div></div></div></div></div></div>04/10/2026 Our Approach to Flexible Work  With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you&#39;ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &#34;home office&#34; roles also have the opportunity to come together in our offices for important moments that matter.Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email <a target="_blank" href="mailto:accommodations&#64;workday.com">accommodations&#64;workday.com</a>.Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.   Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.  In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

3+ years ML systems; NLP, IR, recommender; Python, PyTorch/TensorFlow; MLOps, Docker/K8s; PEFT, cloud deployment; 6+ years for senior track; Master’s/PhD preferred.

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