Principal Software Engineer - Central AI Job at Atlassian (Mountain View)

Senior Principal Product Manager, Confluence AI

As a Senior Principal Product Manager on the AI team for our Confluence product,...

Location

United States , San Francisco

Salary:

183200.00 - 294400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

10+ years of experience in product management, with a focus on AI, machine learning, or related technologies
Proven track record of successfully leading cross-functional teams to deliver complex software projects and successfully iterating on functionality through experimentation
Strong understanding of AI and machine learning concepts, with experience in applying these technologies to real-world products and solutions
Excellent communication and interpersonal skills, with the ability to convey complex ideas to both technical and non-technical stakeholders
Demonstrated ability to thrive in fast-paced environments with high levels of ambiguity, where priorities may shift rapidly and flexibility is essential for success

Job Responsibility

Own the vision and roadmap for AI within Confluence
Act as an AI leader across Atlassian, shaping the overall product strategy and thinking of AI from your vantage point within Confluence
Lead a direct cross-functional team of ~60 engineers, designers, data scientists, and other discipline leads to deliver high-quality AI functionality and features to end users
Collaborate closely with internal Confluence teams to support the integration of AI capabilities into their feature development process, ensuring alignment with AI program goals and coherence of experiences
Work closely with partner teams, including central platform teams, to align on vision, strategy, and execution plans for AI initiatives across Atlassian products
Define key results (KRs) and metrics to measure the success and impact of AI features, and use data-driven insights to iterate and improve
Meet regularly with customers to gather feedback and requirements, and to obtain a deep understanding of customer pain points
Stay informed about industry trends, emerging technologies, and competitive landscape related to AI and machine learning, and leverage this knowledge to drive innovation within Confluence
Act as a subject matter expert on AI technologies and methodologies, providing guidance and mentorship to team members and stakeholders
Communicate effectively with stakeholders at all levels of the organization, including executive leadership

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...

Location

United States , Redmond, WA

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience
8+ years in technical engineering roles building large-scale services
8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
Proven ability to design, build, and ship agentic AI features or frameworks
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
understanding of AI safety evaluation methodologies including adversarial testing and red-teaming

Job Responsibility

Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement
Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios
Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions

Fulltime

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
8+ years in technical engineering roles building large-scale services
6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
Proven ability to design, build, and ship agentic AI features or frameworks
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses

Job Responsibility

Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement
Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios
Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions
Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers

Fulltime

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

New

Senior Principal Software Engineer, Infrastructure

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

Location

United States , Seattle

Salary:

251000.00 - 352000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience with demonstrated expertise across multiple platform domains (identity, billing, data, infrastructure)
Proven track record architecting and delivering large-scale distributed systems serving millions of users and thousands of enterprise customers
Deep expertise in at least two of: identity/access management systems, billing/monetization platforms, data platforms, or cloud infrastructure
Broad working knowledge across all platform domains with ability to make sound architectural decisions spanning multiple areas
Expert-level understanding of API design, service architecture, and system integration patterns at scale
Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure patterns (Kubernetes, service mesh, infrastructure-as-code)
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Track record of establishing strategic technical plans that directly enabled business outcomes (revenue growth, cost reduction, market expansion)
Experience translating business strategy into technical architecture and roadmaps
Demonstrated ability to identify and prioritize investments that provide maximum platform leverage

Job Responsibility

Define and own the multi-year technical vision for Docker's foundational platform, encompassing accounts, billing, data, enterprise governance, and infrastructure
Establish strategic plans and objectives for major platform initiatives, making architectural decisions that ensure effective achievement of Docker's business objectives
Contribute to and drive the strategic vision in collaboration with the VP of Engineering, translating organizational strategy into technical roadmaps that span multiple teams and years
Identify and prioritize platform investments that provide maximum leverage—capabilities built once that enable rapid iteration across all Docker products
Develop architectural principles and standards that guide technical decisions across the Bridge organization and influence product engineering teams
Anticipate future business needs and ensure platform architecture provides the flexibility to support Docker's evolving commercial models
Lead large cross-company programs that require coordination across Desktop, Hub, AI, Security, Cloud, and Platform teams
Architect the unified platform interfaces ("Control Planes") that enable product teams to answer canonical questions like "Can this user access this feature?" or "How much has this organization consumed?" without understanding underlying complexity
Drive convergence of fragmented systems across Docker—replacing product-specific implementations with shared platform capabilities for authentication, authorization, billing, and observability
Establish technical contracts between platform and product teams that enable independent velocity while ensuring consistency and 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 Software Engineer - Copilot Identity

Consumer Copilot Security is at the core of Microsoft’s mission to deliver trust...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Experience integrating with Microsoft Account, and familiarity with consumer identity features.
Cross‑platform delivery: Shipped identity flows and SDKs across multiple consumer client platforms (Windows, macOS, iOS, Android, web).
Governance & lifecycle: Familiarity with consumer identity lifecycle management and privacy controls.
Privacy/Compliance: Experience embedding privacy‑by‑design and meeting consumer compliance expectations for Copilot-class workloads.
Leadership: Track record mentoring senior engineers and driving adoption of platform standards across many product teams.

Job Responsibility

Identity strategy & architecture: Define the end‑to‑end identity vision for consumer Copilot and MAI, covering user/account models, sign‑in, session management, token issuance/validation, service‑to‑service auth, and cross‑device experiences.
Cross‑surface platform leadership: Drive common authentication/SSO patterns and SDKs for Windows, Edge, web, iOS, and Android
ensure seamless UX and consistent security controls across consumer surfaces and modalities.
Collaborate with product, engineering, security, privacy, and identity teams across Copilot, MAI and IDNA to drive improvements in authentication, identity, and security. Influence technical direction and best practices across a large, distributed system, ensuring alignment and adoption of key initiatives.
Establish, monitor, and continuously improve key authentication metrics across Copilot and MAI. Collaborate with engineering, product, and identity teams to align on a unified ground truth and leverage dashboards for ongoing measurement and root cause analysis
Align with central Microsoft Account roadmaps, influence platform capabilities, and land them in Copilot and MAI consumer scenarios at scale.
Define and document authentication patterns and requirements for AI-powered, agentic flows. Ensure these patterns address novel risks, support secure delegation, and enable safe orchestration of actions across devices and services.
Hands‑on engineering: Ship secure, well‑tested, maintainable code and frameworks that other teams can adopt quickly.
Product mindset: Balance customer experience with consumer-grade security, privacy, and compliance expectations for Copilot.
Work closely with globally distributed teams, managing effective communication, coordination, and project delivery across multiple time zones. Foster strong cross-regional partnerships to drive identity and authentication improvements at scale.

Fulltime

New

Principal Software Program Manager - Quantum

At Microsoft Quantum, we aim to empower science and scientists to solve the worl...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
3+ years of experience managing cross-functional and/or cross-team projects
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under U.S. export control regulations, potentially under the International Traffic in Arms Regulations or the Export Administration Regulations. As a condition of employment, the successful candidate will be required to provide proof of citizenship, U.S. permanent residency or other protected status under 8 U.S.C. § 1324b(a)(3) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, citizenship will be verified via a valid passport
Experience with AI-driven productivity tools

Job Responsibility

Strategy Decisions: drive alignment and clarity of architectural decisions ensuring a well-designed and enduring quantum error correction execution pipeline for our stack
Roadmap & Execution: Plan, lead, and execute against aggressive timelines for the end-to-end quantum error correction workflow, including code exploration and selection, coarse and fine grain modeling and ultimately productization
Driver Software Life Cycle: Manage the full software development lifecycle from design and coding to verification, calibration routines, and integration
Cross-Functional Collaboration: Act as the central interface across quantum teams to ensure alignment, clarity, and timely delivery across multiple stakeholders
Risk Mitigation: Anticipate technical and schedule blockers related to latency, hardware instability, or software bugs and propose migration strategies
Documentation & Standards: Ensure high-quality technical documentation, API specifications, and code standards are maintained
Program Management Excellence: Manage large-scale, cross-functional initiatives spanning software engineering, research, and product strategy. Lead product reviews and demonstrations
Other: Embody our culture and values

Fulltime

Principal Technical Program Manager

The CO+I AI Delivery team is focused on delivering various platform services to ...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
3+ years of experience managing cross-functional and/or cross-team projects
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Proven experience leading complex, cross‑team technical programs with significant infrastructure or platform components
Strong technical foundation in one or more of the following: Cloud infrastructure and distributed systems, Large‑scale datacentre delivery projects, Hardware‑software integrations (compute, networking, storage, power, cooling)
Demonstrated ability to manage execution in ambiguous, fast‑moving environments
Excellent written and verbal communication skills, with experience presenting to senior leadership
Experience delivering or scaling AI, HPC, or GPU‑based platforms in production environments
Familiarity with data center operations, hardware lifecycle management, or global deployment programs

Job Responsibility

Program Ownership & Execution: Own end‑to‑end technical programs focused on accelerating AI deployment timelines
Drive execution across multiple parallel workstreams
Establish clear success metrics and mechanisms
Document appropriately all artifacts
Cross‑Functional Leadership: Partner deeply with hardware engineering, software engineering, infrastructure, networking, data center operations, and supply chain teams
Act as the central point of coordination
Influence decision‑making with data, technical insight, and strong executive communication
Technical Rigor: Develop deep working knowledge of AI deployment architectures
Identify technical risks early and drive mitigation strategies
Translate complex technical concepts into clear, actionable plans

Fulltime

Principal Software Engineer - Central AI

Atlassian

Location:
United States , Mountain View ▼
San Francisco
Austin
New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 23, 2025

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