Platform Engineer

• Collaborate with engineers across the company to understand and support their development workflows.
• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs.
• Lead complex projects that span teams, with many partners and customers.
• Effectively participate in planning, code reviews, and design discussions.
• Contribute impactful projects to the team’s roadmap.
• Thrive in a fast-paced, collaborative work environment where impact is a result of your efforts and where your contribution is highly visible.
• Drive software engineering best practices both within our team and across engineering.
• Create tooling that encourages and supports these practices.
• Mentoring and up-leveling other engineers on the team.
• Conduct technical interviews with well-calibrated standards and play a crucial role in recruiting activities.
• Be a positive contributor to our team culture.

Senior AI/ML Engineer – Autonomy CI Platform

• Transform legacy workflows into secure, user-friendly digital tools
• Replace outdated tracking tools with secure Power Apps, Power Pages, and Power BI solutions, using Figma prototypes to deliver clean, intuitive user interfaces.
• Streamline financial workflows by configuring automated processes, custom connectors, and Dataverse structures that reliably link disparate agency databases.
• Maintain software stability and seamless release cycles using Azure DevOps or GitHub for version control and deployment within an Agile environment.
• Partner with architects, business analysts, and agency stakeholders to translate complex financial compliance needs into clear technical requirements and design standards.

Power Platform Developer – UI/UX

• Design & develop the next generation distributed ML data platform (Ingestion, Processing, Serving) using GCP and open-source frameworks
• Collaborate with stakeholders (ML & Data Engineers), translate needs & pain points into requirements, build self-serve capabilities and drive adoption
• Deliver technical projects owning major technical decisions and tradeoffs & contribute to the team’s strategic roadmap
• Champion engineering & operational excellence by continuously improving systems and processes
• Actively participate in team’s planning, code reviews and design discussions
• Conduct technical interviews, onboard new and mentor junior engineers

Software Engineer, Data Platform – Autonomous Vehicles

• Experience as a Power Apps developer utilizing “model-driven” design
• Develop client-facing website and forms utilizing PowerApps Portal
• Maintain application baseline in 3 environments (Dev/Stage/PROD)
• Work with the Enterprise Architecture team to perform process modelling and develop data validation processes
• Work with system stakeholders to capture data requirements for each process model
• Ensure application processes stay in sync with business processes
• Participate in Scrum ceremonies, including sprint planning, review, and retrospective meetings
• Assist the Business Analyst in the development and technical evaluation of requirements

Power Platform Developer, Model-driven

• Define and own the Data & BI platform strategy and multi-year roadmap, ensuring platform investments are aligned to the needs of federated AI and analytics teams across Pfizer
• Lead, develop, and grow a team of engineers and platform specialists across Platform Operations, Platform Development, and Data Reliability pods
• Establish and maintain product-minded ownership of the platform portfolio with roadmap priorities driven by user needs
• Own the vendor relationships and licensing strategy for the data and BI platform portfolio, including contract management, performance governance, and technology evaluation
• Partner with the Head of AI Ready Data to ensure platform infrastructure and data governance standards are tightly integrated
• Oversee the design, build, and operation of enterprise data pipelines, warehouse/lakehouse environments, and BI infrastructure at scale
• Define and publish platform SLAs covering availability, data freshness, query performance, and pipeline reliability
• Drive platform cost transparency and FinOps practices ensuring compute and storage costs are visible and continuously optimized
• Ensure all platforms meet Pfizer's enterprise security, privacy, and regulatory compliance requirements
• Serve as the primary platform interface for federated AI and analytics teams across Pfizer, embedding platform support and enabling self-service access
• Report regularly to the Chief AI and Data Officer on platform health, SLA performance, adoption metrics, and investment priorities

Head of Data, BI Platform Engineering

• Own the infrastructure layer for Pfizer's AI ambitions
• Manage the compute, LLM gateway, MLOps machinery, and observability platform
• Architect the AI workloads platform to support various Pfizer domains
• Build a governed, automated deployment pipeline for AI models
• Develop agent orchestration layer and observability infrastructure
• Monitor real-time usage and anomaly detection for AI systems
• Oversee MLOps platform, experiment tracking, model versioning, and deployment pipelines
• Ensure compliance with Trusted AI's governance policies

Head of AI – Agentic Platform Engineering

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Design and develop scalable backend services powering both internal and customer-facing web applications with focus on performance and reliability
• Create intuitive command-line utilities and APIs that integrate seamlessly with our platform ecosystem
• Architect supporting systems including databases, real-time data pipelines, and monitoring solutions
• Partner with UX/UI, Sensors, and other teams to deliver integrated solutions with comprehensive documentation
• Configure advanced monitoring, alerting, and maintain high availability for production services
• Drive architectural improvements, optimize performance, and enhance user experience through iterative refinement
• Guide junior engineers and contribute to technical decision-making processes
• Ensure robust, healthy service operations with proactive maintenance and incident response capabilities

Senior Engineer – Risk Platform

• Architect and drive the evolution of Kubernetes platform strategy across cloud and on-premises environments supporting mission-critical workloads at scale.
• Lead the design and implementation of platform capabilities that improve reliability, security, scalability, and developer productivity for hundreds of engineering teams.
• Partner with engineering, security, and product leaders to define multi-year platform roadmaps and drive execution of company-critical initiatives.
• Provide technical leadership during major incidents, architecture reviews, platform transformations, and strategic infrastructure investments.
• Mentor senior engineers and help raise the engineering bar through technical leadership, design reviews, operational excellence, and architectural guidance.

Principal Engineer – Platform Engineering

• Contribute to maintaining, updating, and expanding existing AI intelligence layer encompassing Snowflake Cortex, AWS Bedrock
• Architect, design, and code shared libraries that abstract complex business logic
• Collaborate with product managers, architects, and other engineers
• Contribute to developing and documenting both internal and external standards and best practices
• Ensure high operational efficiency and quality of the AI projects
• Engage with and understand our customers
• Maintain detailed documentation of your work

Lead Product Software Engineer – Data Foundation Platform

• Build and evolve the data pipelines that fetch, aggregate, and transform KPI data from BigQuery across multiple geographies and granularities
• Extend and maintain the statistical estimation library — implement new estimators, improve standard error methods, and optimize performance for large panel datasets
• Improve the Metaflow-based analysis orchestration system that schedules and executes thousands of daily experiment analyses on Kubernetes
• Design for reliability: build monitoring, alerting, and self-healing patterns for pipelines that run autonomously every day
• Collaborate closely with applied scientists to translate research prototypes into production-grade code with proper testing, error handling, and observability
• Work with product engineers to ensure analysis results are published correctly and flow cleanly into the customer-facing API and frontend
• Use AI development tools as part of your daily workflow to accelerate delivery and explore solutions
• Participate in on-call rotation and own the operational health of the science platform systems

Software Engineer – Science Platform

• Build and maintain security controls for AWS and Kubernetes (EKS) environments, including guardrails, container security scanning, and infrastructure-as-code (Terraform) security
• Support IAM initiatives by helping to design and maintain access controls, role-based access control (RBAC) models, and identity governance workflows
• Design, deploy, and maintain internal security services and platforms that other engineering teams rely on
• Act as a security partner to engineering teams, helping them make secure architecture decisions without blocking innovation
• Work across functions—partnering with AppSec, Threat Detection, and GRC—to identify and reduce risk across the entire stack
• Participate in on-call rotation for platform security incidents

Senior Platform Security Engineer

• We are seeking a Power Platform Developer and an Innovation Specialist to support a modernization effort for Document Process Automation for a federal TSA client.
• This role is responsible for designing and building the document management architecture, automated processes and workflows.
• Build and maintain Power Automate workflows for inbox-driven task identification, action item routing, multi-step approvals, and exception handling.
• Automate document detection, ingestion, and periodic summarization into SharePoint to support centralized knowledge management.
• Design and configure SharePoint as a centralized repository for document retention, meeting records, briefs, and institutional knowledge.
• Build Microsoft Forms-based or Canvas App-based intake tools for standardized capture and routing of meeting requests and action items.
• Design and build Canvas Apps providing tailored, intuitive user experiences with guided workflows and embedded automation in lieu of standard form-based tools.
• Connect Canvas Apps to Dataverse, SharePoint, and third-party data sources via connectors and custom APIs.
• Implement RBAC, row-level security, and table permissions.
• Configure AI Builder, Copilot Studio, or Azure AI capabilities to support predictive task modeling, document summarization, and AI-assisted meeting documentation if needed.
• Support integration of Power BI dashboards for executive visibility into operational metrics and sprint progress.
• Modernize manual, email-based, and document-driven front office processes through targeted automation.
• Participate in sprint planning, backlog grooming, daily standups, milestone reviews, and retrospectives within an agile delivery cadence.
• Collaborate with the Business Systems Analyst to translate business requirements and current-state process documentation into sprint-ready development tasks.
• Ensure all solutions operate within the TSA's approved technology environment, minimizing security, accreditation, and sustainment risk.

Senior Power Platform Developer

• Own Platform's company-level objectives and the engineering plan that delivers them
• Translate company priorities and product-engineering needs into a platform roadmap, in a way that flows both up and down
• Be responsible for build-vs-buy and architecture-level trade-offs across infrastructure, data, developer experience, and AI tooling; own the technical roadmap and how it balances against the needs of your customers
• Represent Platform and collaborate with cross-functional leadership partners and in engineering-wide leadership conversations
• Coach EMs to a higher bar with clear feedback, growth plans, and direct support
• Drive AI-native development in line with ClassDojo’s engineering practices
• Take accountability for SLAs/SLOs and incident response across the platform surface
• Support and drive architecture and systems design decisions across infrastructure, data, DevEx, and AI tooling; ensure systems are reliable, maintainable, and operationally ready
• Partner with Security, Ops, Data, and other functions as the platform requires.

Engineering Leader – Platform Engineering

• Provide engineering and sustainment support across the full SPE platform portfolio — including EDR, DLP, data encryption, email security, CSPM, and SIEM — ensuring platforms are highly available, performant, and cost-effective.
• Partner with IT, infrastructure, and application teams to maintain seamless security platform integrations across Nordstrom’s hybrid on-prem, cloud, and retail store environments.
• Monitor and maintain platform health metrics — including EDR, Qualys, and Tanium agent coverage — and contribute to Monthly Business/Program Reviews (MBR/MPR) reporting.
• Manage security platform migrations, upgrades, and configuration changes with minimal business disruption; develop and execute detailed test plans for platform changes.
• Participate in an on-call rotation for platform-related incidents and support Threat Intel, CSIRT/SOC teams during security events requiring platform investigation or response.
• Design, develop, and maintain automation tooling and CI/CD pipelines that improve platform deployment, configuration management, and operational efficiency.
• Write and maintain engineering-level documentation including architecture decisions, runbooks, deployment guides, and test plans.
• Contribute to the development of in-house tooling using Python, Bash, and NodeJS to automate repetitive operational tasks and reduce manual toil across the platform portfolio.
• Apply infrastructure-as-code practices (Terraform) and containerization (Docker, Kubernetes) where applicable to platform deployment and management.
• Leverage AI tooling — including GitHub Copilot and Claude — to accelerate engineering workflows and improve team productivity.
• Partner with Threat Intel & Detection Engineering, SOC and CSIRT teams to ensure platform configurations align with active detection and incident response requirements.
• Collaborate with GRC teams to ensure security platforms meet compliance requirements across NIST CSF, PCI DSS, SOC 1/2, and related frameworks.
• Communicate clearly and effectively with technical and non-technical stakeholders across engineering, IT, and business teams.
• Mentor junior engineers in both technical skills and engineering best practices; contribute to a culture of knowledge sharing and continuous improvement.

Security Platform Engineer, Level 2

• Collaborate with business and technical stakeholders to gather, analyze, and refine requirements for workflows, applications, and dashboards.
• Create wireframes, mockups, and interactive prototypes to visualize and validate user interfaces and user journeys before build-out.
• Design intuitive, aesthetically pleasing, and accessible user interfaces that enhance usability and adoption across a diverse user base.
• Conduct user research, usability testing, and feedback sessions to iteratively improve designs and ensure solutions effectively meet mission and business needs.
• Design and develop custom applications using Power Apps, including Canvas Apps and/or Model-Driven Apps, to digitize and optimize business processes.
• Build and maintain automated workflows and business processes using Power Automate, integrating approvals, notifications, data transformations, and system integrations.
• Leverage Microsoft Dataverse to create robust, scalable relational data models that support complex business rules and relationships.
• Integrate Power Platform solutions with other Microsoft services (e.g., SharePoint, Teams, Dynamics 365, Azure services) and third-party applications using connectors, custom APIs, and web services.
• Develop Power BI dashboards and reports that deliver actionable insights and visually compelling data visualizations for leadership and operational users.
• Ensure reports and analytics are accurate, performant, and aligned with security, data governance, and reporting standards.
• Implement custom logic and UI enhancements using JavaScript, HTML, and CSS where appropriate to extend Power Platform capabilities.
• Apply best practices for solution architecture, security, performance, and lifecycle management, including environment strategies (dev/test/prod), ALM, and configuration management.
• Collaborate with cross-functional IT and development teams to ensure solutions are secure, maintainable, and well-documented.
• Contribute to the definition and refinement of standards, patterns, and reusable components for Power Platform and UX design across the organization.
• Other duties as assigned.

• Design, build, and operate the ML deployment platform that automates the path from trained model to on-vehicle inference.
• Drive cross-organization model deployments to the autonomous vehicle stack, partnering with model development teams to take high-value models from training to production on-vehicle.
• Build agentic tools that diagnose and fix deployment-blocking issues, automating workflows currently performed manually by engineers.
• Build the developer experience that ML model development teams use day to day: tooling, dashboards, automation, and observability.
• Drive shift-left validation that surfaces deployment risk (compile, runtime, parity, latency) early in the model development cycle.
• Build platform tools that integrate the work of our sister teams (kernels, compiler, reduced precision and parity) so their optimization wins land directly in the deployment workflow.
• Partner with the team's Performance pillar and model development teams across the AV organization.

Senior ML Inference Engineer – Platform

• Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems
• rapid debugging and response to user-reported issues via telephone, email or conference calls on the DGX Platform (hardware and software) stack including but not limited to resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors.
• ability to apply industry standard AI Tools to efficiently share debugging results, create internal/external knowledge base articles & analyze customer issues thereby helping to develop, re-define and document standard methodologies to provide to internal teams (Support/R&D) for support process and improvements.
• participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc.

Senior HPC Support Engineer – Compute and GPU Platform

• Be the tech-lead and architect for Haus's data ingestion and normalization platform — ad network APIs (Google, Meta, TikTok, Amazon, etc.), Fivetran connectors, and customer warehouses (Snowflake, BigQuery) — balancing throughput, cost, and reliability.
• Design and lead implementation of high-leverage systems: schema evolution, data contracts, DQ frameworks, idempotent backfills, lineage, time-travel, data reproducibility and pipeline observability.
• Drive architectural decisions in our GCP / BigQuery / dbt stack — build vs. buy, what to standardize, what to deprecate — and write the design docs that align Engineering, DS, and Product teams.
• Raise the engineering bar through code review, design review, and mentorship; level up Senior engineers and unblock the team on the hardest problems.
• Partner with data science to translate fuzzy modeling and research needs into pipeline contracts and SLAs that downstream teams can trust.
• Own incident response and post-mortems for critical pipeline failures; turn one-off fires into systemic fixes.
• Drive design and implementation of AI (Agentic) workflows for data quality and analytics
• Influence the broader engineering org's data strategy.

Staff Engineer – Data Platform

• Administer and scale Jira, Confluence, Jira Service Management (JSM), and Crowd to support daily enterprise operations across multiple enclaves.
• Design, configure, and optimize workflows, fields, screens, schemes, dashboards, reports, templates, and permission models to support mission-specific and enterprise-wide use cases.
• Manage and govern Atlassian Marketplace apps, including installation, configuration, upgrades, license management, troubleshooting, and performance validation.
• Oversee access and identity management across Atlassian platforms, including configuration of Crowd, Microsoft Entra ID (Azure AD), and SSO/SAML integrations in alignment with security and identity policies.
• Own day-to-day platform operations, including upgrades, patches, configuration changes, deployments, backups, log management, and monitoring.
• Implement and tune monitoring, alerting, and logging to proactively identify and resolve performance, stability, and capacity issues.
• Partner with infrastructure and security teams to validate high availability, disaster recovery, and backup/restore strategies for Atlassian environments.
• Triage and resolve support tickets, ranging from standard access requests to complex configuration and workflow changes.
• Provide tier 2/3 support for Jira, Confluence, JSM, and Crowd-related incidents and service requests.
• Develop and maintain knowledge articles, how-to guides, and training materials that enable self-service and reduce ticket volume.
• Engage directly with mission teams to understand requirements and translate them into scalable, supportable tool configurations.
• Support federal compliance needs, including FISMA/ATO-related documentation, audit support, and configuration baselines in accordance with security and governance requirements.
• Ensure Atlassian configurations, integrations, and plugins adhere to security controls, least privilege, data protection, and logging requirements.
• Contribute to and enforce standards, patterns, guardrails, and best practices for Atlassian usage across the enterprise.
• Collaborate with Agile, DevSecOps, and mission delivery teams to configure Atlassian tools that align with Agile/SAFe frameworks, ceremonies, and reporting structures.
• Identify opportunities to enhance automation, workflow efficiency, and user experience across Jira, Confluence, and JSM.
• Participate in roadmap planning for Atlassian platforms, including feature evaluation, capacity planning, and migration or modernization initiatives.

Platform Engineer jobs in Washington

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Senior AI/ML Engineer – Autonomy CI Platform

Power Platform Developer – UI/UX

Software Engineer, Data Platform – Autonomous Vehicles

Power Platform Developer, Model-driven

Head of Data, BI Platform Engineering

Head of AI – Agentic Platform Engineering

Staff Software Engineer – Platform

Senior Engineer – Risk Platform

Principal Engineer – Platform Engineering

Lead Product Software Engineer – Data Foundation Platform

Software Engineer – Science Platform

Senior Platform Security Engineer

Senior Power Platform Developer

Engineering Leader – Platform Engineering

Security Platform Engineer, Level 2

Senior Power Platform Developer

Senior ML Inference Engineer – Platform

Senior HPC Support Engineer – Compute and GPU Platform

Staff Engineer – Data Platform

Atlassian Platform Engineer