Principal Software Engineer, AI Developer Tools Job at Docker (Seattle)

Principal Engineer for Storage Software Development

In the HPE Hybrid Cloud, we lead the innovation agenda and technology roadmap fo...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven track record of delivering V1 products and anchoring multiple releases in storage product development
Demonstrated ability to handhold customers and played role of trusted advisor for their technology decisions
Bachelor's or master's degree in computer science, Information Systems, or equivalent
Typically, 15-20 years' experience
Expertise in multiple software systems design tools and languages
Strong analytical and problem-solving skills
Designing software systems running on multiple platform types
Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
mastery in English and local language

Job Responsibility

Set technology direction for broader engineering team on next generation storage involving multiple technologies such as object, file & AI ready workloads
Ability to detail out multi release delivery content from high level vision for the products
Help leadership and Product Management to understand finer details on contemporary technological trends
Inspire engineering team to question the status quo and make bold moves on technology roadmap and deliverables
Designs enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution
Writes and executes complete testing plans, protocols, and documentation for assigned portion of application
identifies and debugs, and creates solutions for issues with code and integration into application architecture
Leads a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem
Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Product Manager, Gen AI Developer Tools

Anaconda is seeking a talented Principal Product Manager, GenAI Developer Tools ...

Location

United States

Salary:

162500.00 - 282000.00 USD / Year

Anaconda

Expiration Date

July 01, 2026

Requirements

7+ years of product management experience
at least 3 years focused on developer tools, infrastructure, or platform products
deep, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, etc.)
proven expertise in MCP (Model Context Protocol) development, A2A protocol, agentic systems, or similar AI-to-application integration technologies
ability to work closely with engineering teams on API design, system architecture, and implementation trade-offs
experience building and managing strategic technology partnerships, particularly with developer tool companies
track record of driving product adoption in developer communities
excellent written and verbal communication skills
deep understanding of Python ecosystem, package management, and enterprise software development workflows
Bachelor's degree in Computer Science, Engineering, or related field

Job Responsibility

Lead product strategy and roadmap for Anaconda's Agentic Environment & Package Management initiatives, including MCP (Model Context Protocol) server development and AI tool integrations
conduct strategic research with enterprise customers, AI tool vendors, and the open-source community
drive the development and launch of tools and agents that improve the quality of Python vibe-coding
support strategic partnerships with top AI-enabled IDEs (Cursor, VS Code, Windsurf, etc.)
define and execute on integration strategies that make Anaconda indispensable to AI coding workflows
collaborate with engineering teams to build robust APIs, SDKs, and developer tools
work closely with our enterprise customers in regulated industries (finance, healthcare, government) to ensure our AI infrastructure meets their security and compliance requirements
partner with marketing and developer relations to drive adoption among the 50+ million Python developers globally
measure and optimize key metrics including developer adoption, enterprise package downloads, and AI tool integration usage
represent Anaconda at industry conferences, with partners, and in the broader AI/ML community

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
annual bonus potential
equity participation

Fulltime

Principal Frontend Software Engineer - Design Systems & AI

We’re looking for a passionate Principal Engineer (P60) to join the Design Syste...

Location

Australia

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A strong interest in AI, especially in generative approaches for frontend code that adheres to design systems and frontend standards
Systems thinking and experience architecting and maintaining large-scale systems (100+ packages, content, standards, etc.)
Proven Tech Lead experience: You’ve led complex technical initiatives and mentored other engineers
Experience with Javascript (ES6), HTML5, CSS and experience with modern Javascript frameworks (e.g., React, AngularJS, Vue)
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)
Extensive experience with modern testing frameworks (e.g., Jest, Cypress, Mocha, Chai)
Strong comfortability with the JavaScript language and ecosystem
Experience in design system best practices

Job Responsibility

Lead the technical vision and architecture for AI-driven design system solutions, ensuring scalability, reliability, and compliance with Atlassian’s frontend standards
Drive the development of generative AI tools that produce frontend code aligned with our design system and accessibility requirements
Tackle the challenges of maintaining and evolving a system of 100+ packages, including content, standards, and tooling
Mentor and guide engineers across the team, fostering a culture of technical excellence and innovation
Collaborate with cross-functional partners to deliver impactful solutions that elevate the user experience for millions of Atlassian customers

What we offer

health coverage
paid volunteer days
wellness resources

Principal AI Engineer

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innova...

Location

Israel , Netanya/Tel Aviv

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

A bachelor's degree or higher in Computer Science, Data Science, or a related field
Proven experience in software development
Proficiency in LLM-related tools, processes, and frameworks, including OpenAI Models and APIs, Hugging Face Transformers, LangChain, vector databases, and prompt management tools like PromptPerfect/PromptBase and Guardrails
Experience with cloud platforms, such as AWS, Google Cloud, or Azure
Proficiency in Python programming
Experience deploying LLM-based applications in a production environment
Excellent problem-solving and analytical skills
Experience with CI / CD tools
Strong communication skills and the ability to collaborate effectively in a team

Job Responsibility

Recommend and test agentic productivity tools
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions
Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Define meaningful KPIs and closely monitor cost

Principal QA Automation Engineer w/ AI experience

We seek a Principal QA Automation Engineer with a strong background in Cypress, ...

Location

Argentina , Gran Buenos Aires; Capital Federal; Mar del Plata

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience with Cypress for UI and end-to-end automation testing
Expert-level proficiency in TypeScript, JavaScript and Python
Proven experience testing AI-powered or machine learning applications, including AI model validation techniques
Strong understanding of AWS services (e.g., Lambda, S3, SQS, CloudWatch, ECS/EKS) and how to validate applications deployed in cloud environments
Experience with threaded/multi-agent AI tools and how they impact test design and validation
Familiarity with version control (Git), containerization (Docker), and CI/CD pipelines (e.g., GitHub Actions, Jenkins, or CircleCI)
Strong communication, leadership, and mentoring skills

Job Responsibility

Lead the design and implementation of end-to-end test automation frameworks using Cypress with TypeScript
Define quality strategies for applications with AI/ML components, including deterministic and non-deterministic testing approaches
Collaborate with engineering, DevOps, and AI/ML teams to ensure quality across AI-infused features in production environments
Build and scale testing strategies for threaded AI applications running in AWS cloud infrastructure
Integrate automated tests into CI/CD pipelines to support frequent, reliable deployments
Mentor and guide mid- and senior-level QA engineers, setting best practices and driving a culture of quality-first development
Evaluate and introduce new tools, libraries, and frameworks to improve test coverage, performance, and developer experience
Participate in architectural discussions to ensure testability and reliability are baked into software designs from the start
Analyze test results, track quality metrics, and communicate risk and coverage to stakeholders

What we offer

Premium healthcare through OSDE for the employee and their immediate family members
Mendel prepaid card with a monthly allowance for grocery purchases
Monthly reimbursements for Wi-Fi/electricity expenses
Monthly reimbursements for training/English classes
100% covered “Plan Total” membership at Sportclub
Access to a our benefits platform through Bonda
A flexible vacation policy

Fulltime

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

New

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years building production-grade backend systems or developer-facing tools
Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ownership mentality with bias for action and iterative delivery
Comfortable working autonomously across distributed teams and navigating ambiguity

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
Participate in Operations: Take part in on-call rotation for AI developer tools
respond to incidents, debug production issues, and drive continuous improvement of system reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal AI/ML & Innovation Engineer

We are seeking Principal AI/ML & Innovation Engineer who will be leading initiat...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically, 10-15 years’ experience
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Proficient in implementing and deploying various machine learning algorithms, such as decision trees, random forests, support vector machines, and neural networks
Knowledge of popular machine learning frameworks and libraries like TensorFlow, PyTorch, or sci-kit
Strong understanding of GitHub CoPilot, Cursor, N8N, vibe coding, Windsurf, and similar technologies
Experience in Cloud Infrastructure (AWS, Azure, etc)
Knowledge of Open Source, Linux, etc
Understanding of Devops, SRE
Expertise in deep learning techniques, architectures, and frameworks (e.g., convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), etc.)

Job Responsibility

Designing, developing, and deploying advanced machine learning models and algorithms
Leading research initiatives to explore novel approaches and technologies
Designing the architecture of AI systems and ensuring scalability, performance, and reliability
Collaborating with other teams, such as data scientists, software engineers, and product managers
Providing technical leadership and mentorship to junior engineers
Overseeing and guiding multiple design review sessions across different projects
Partnering with the engineering manager and team lead to establish long-term design and implementation strategies
Leading efforts to incorporate feedback loops and continuous improvement processes
Leading meetings, ensuring efficient progress tracking, issue resolution, and team coordination
Creating and delivering high-level presentations and reports to executive stakeholders

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Principal Software Engineer, AI Developer Tools

Docker

Location:
United States , Seattle

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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