Senior Principal Engineer Core Data Platform Job at Atlassian (Seattle)

Senior Principal Data Platform Software Engineer

We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a k...

Location

Salary:

239400.00 - 312550.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
Demonstrated experience building and operating data platforms or large‑scale data services in production
Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
Strong programming skills in one or more of: Kotlin, Scala, Java, Python
Experience leading cross‑team technical initiatives and influencing senior stakeholders
Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Job Responsibility

Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Principal Engineer

The Core Engineering Compute Platform team is responsible for powering all of At...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Strong technical expertise and 12+ years experience in designing/building enterprise grade public cloud or platform as a service solutions
Proven experience in a senior engineering leadership role, preferably in a large-scale, distributed systems environment
Deep understanding of cloud computing, Kubernetes, microservices architecture, and container orchestration technologies
Experience building and operating large scale distributed systems using cloud technologies from AWS/Azure/GCP
Focus on business outcomes and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'ship small, ship fast and iterate’ vs ‘building for perfection’
Passion for engineering rigor and operational excellence (design principles and patterns, unit testing, best practices for security and privacy, CI/CD etc)
You will be a role model for operational responsibility and data-driven engineering rigor
Excellent collaboration, communication and leadership skills
Ability to get engineers to follow their lead as well as mentor/coach

Job Responsibility

Collaborate with other core engineering teams and internal customers to help define technical direction and OKRs for the Compute Platform team
Collaborate with cross-functional teams to ensure seamless integration and deliver a seamless compute platform experience
Evaluate and implement new technologies and frameworks to enhance platform capabilities, designed with security, performance, and scalability in mind
Own key OKRs and end-to-end outcomes of critical projects in a globally distributed environment
Develop and execute a strategic vision for the compute platform that aligns with the company’s goals and objectives
Identify opportunities for innovation and improvement in platform services and developer tools
Own engineering and operational excellence for the health of our systems and processes
Proactively drive opportunities for continuous improvements and own key operational metrics
Continually drive developer productivity initiatives to ensure that we unleash the potential of our own team
Help hire and mentor engineers to build an open, innovative and operationally responsible culture

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

New

Senior Principal Architect, Senior Director

At Teradata, we believe that people thrive when empowered with better informatio...

Location

United States , California

Salary:

217300.00 - 325900.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

20+ years of software or systems engineering experience, with 8+ years in a principal, distinguished, or fellow-level architectural role at a software product company or hyperscaler.
Recognized technical authority in at least two of the following domains: cloud-native data platforms, distributed query processing, AI/ML infrastructure, elastic compute architecture, or enterprise integration.
Demonstrated ability to set and communicate a multi-year technical vision that influences both internal engineering decisions and external market positioning.
Proven track record of deploying AI tools, LLM-assisted workflows, and automated engineering practices at an organizational scale—with measurable productivity outcomes.
Outstanding communication skills with experience presenting to Boards of Directors, institutional investors, and enterprise C-suite executives

Job Responsibility

Define and steward Teradata's enterprise-wide technical architecture vision, ensuring coherent design across compute, storage, query processing, AI/ML pipelines, and cloud integration layers.
Lead architectural strategy for Teradata's highest-complexity, highest-risk platform initiatives—including the Artemis data lakehouse, Agentic Platform AI workloads, and MCP Integration framework.
Serve as Teradata's primary external technical voice in industry forums, standards bodies, and with strategic enterprise customers and partners.
Chair the Enterprise Architecture Review Board, establishing architectural principles, evaluating major design proposals, and resolving cross-team technical conflicts.
Develop and operationalize a comprehensive AI productivity framework for the Core Platform engineering org.
Mentor a portfolio of Principal and Senior Staff Architects
Produce landmark technical assets—platform blueprints, architecture whitepapers, technology evaluations
Partner with the CPO and Chief Data Officer to ensure architecture investments align with Teradata's five-year AI platform strategy and business outcomes.
Foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce

What we offer

Healthcare
Life and disability insurance plans
401(k)-retirement savings plan
Time-off programs

Fulltime

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...

Location

United States , Boston

Salary:

121300.00 - 177900.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
Comfortable going deep into data, metrics, and model behavior—not just the UX layer
Excellent communicator who can make complex AI topics clear to diverse audiences
Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Job Responsibility

Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
Design workflows that incorporate human review and escalation where needed

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

Fulltime

Principal Software Engineer

At Automata, we're on a mission to transform how scientists work by making autom...

Location

United Kingdom , London

Salary:

130000.00 - 170000.00 GBP / Year

Automata

Expiration Date

Until further notice

Requirements

12–18 years of professional software engineering experience, with deep backend and some platform focus
Strong expertise in Golang
comfortable reasoning about Python-based systems
Experience building products end-to-end, ideally including at least one built from scratch and scaled
Strong system design and distributed systems experience
Exposure to Kubernetes, containerisation, CI/CD, IaC, security, and modern delivery practices
Experience influencing and leading senior technical people
Prior CTO (at a startup), Principal Engineer, or equivalent senior technical leadership experience is a strong plus

Job Responsibility

Own architecture and technical direction
Define, evolve, and own the end-to-end technical architecture across our core platform and new products
Act as the final technical decision-maker on architecture, core technologies, and engineering approaches
Design systems that are scalable, resilient, secure, and adaptable as the business grows
Translate product vision and customer needs into clear technical strategy and executable roadmaps
Stay hands-on: contribute to critical designs, core platform modules, prototypes, and apply your coding skills where it matters most
Lead and multiply senior engineers
Lead, mentor, and influence Staff and Senior Staff Engineers (6 direct, ~16 indirect reports)
Help staff engineers lead their squads effectively, making better technical and organisational decisions
Structure teams and responsibilities to improve pace, ownership, and clarity

What we offer

Vitality Health Insurance
Eye Care
Salary Sacrifice - EV
Salary Sacrifice - Bike & Tech
Wellbeing & Support
Wellbeing & Development Allowance
Spill & Employee Assistance Programme
Additional Leave
Pension Scheme
Group Life & Critical Illness cover

Fulltime

Principal Engineering Manager, Core Platform & AI Systems

We are looking for a Principal Engineering Manager, Core Platform & AI Systems t...

Location

United States , Seattle

Salary:

208000.00 - 313000.00 USD / Year

Highspot

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience with 4+ years in engineering leadership roles
Experience managing senior/principal engineers, ideally across multiple functional areas
Strong technical background in cloud-native distributed systems, platform engineering, or AI/ML infrastructure
Proven track record of scaling SaaS platforms and leading teams responsible for mission-critical backend systems
Experience working closely with cross-functional teams such as Product, Infrastructure, AI/ML, and Security
Deep understanding of reliability, operational excellence, and cost optimization in cloud environments (AWS, Azure, GCP)
Excellent communication, collaboration, and executive stakeholder management skills
Passion for developing people and building strong, healthy engineering teams

Job Responsibility

Lead and grow the Core Platform & AI Systems team
Drive the technical roadmap for the platform, ensuring scalability, performance, availability, and cost-efficiency
Partner closely with product engineering teams to deliver platform capabilities that unlock business features while simplifying the developer experience
Collaborate with Data Science, ML, and AI teams to provide robust ML Ops and AI infrastructure that enables rapid experimentation and production-grade AI deployments
Own platform-wide reliability and operational health, continuously investing in observability, incident management, and system resilience
Contribute to architectural decisions that shape the long-term direction of Highspot’s SaaS platform
Attract, retain, and develop top engineering talent, building a high-performing and inclusive team culture
Communicate effectively with senior leadership, providing visibility into roadmap progress, technical trade-offs, and organizational needs

What we offer

Comprehensive medical, dental, vision, disability, and life benefits
Health Savings Account (HSA) with employer contribution
401(k) Matching with immediate vesting on employer match
Flexible PTO
8 paid holidays and 5 paid days for Annual Holiday Week
Quarterly Recharge Fridays (paid days off for mental health recharge)
18 weeks paid parental leave
Access to Coaches and Therapists through Modern Health
2 volunteer days per year
Commuting benefits

Fulltime

Senior/Staff Engineering Director

The College Board is seeking a Senior/Staff Engineering Director to lead the Cor...

Location

United States of America

Salary:

170000.00 - 200000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, including significant experience leading leaders (Engineering Managers, Senior Engineers, or equivalent)
Proven experience setting technical direction and overseeing the delivery of large-scale, cloud-based applications and platforms, preferably using AWS and modern web technologies
A strong background in software architecture and system design
Demonstrated success building, mentoring, and retaining diverse, high-performing engineering teams at scale
Experience operating at the intersection of technology and business
Exceptional communication skills
Strong operational mindset, including experience managing budgets, vendor relationships, delivery risk, and long-term technical health
A leadership style grounded in trust, inclusion, and accountability
Ability to travel 3–5 times per year to NYC or Reston, VA
Authorization to work in the United States

Job Responsibility

Provide senior technical leadership for a defined area of the Core Assessment Platforms
Guide Engineering Managers, Principal and Staff Engineers in evaluating solution options, making architectural tradeoffs, and managing technical risk and debt
Identify and prioritize near-term technical improvements
Establish and uphold shared engineering standards
Serve as an escalation point for complex, cross-team technical decisions
Stay informed on relevant technologies
Lead multiple engineering teams through experienced Engineering Managers
Partner with Engineering Managers to ensure teams are appropriately staffed
Foster a culture of trust, accountability, and continuous improvement
Actively support diversity, equity, and inclusion

What we offer

A meaningful career
A supportive team
A comprehensive package
Fair and competitive compensation
Salary adjustment by location
Open, transparent conversations about compensation and benefits

Fulltime

New

Principal, Data Scientist

Location

India , Chennai

Salary:

Not provided

Workday

Expiration Date

Until further notice

Requirements

12+ years of experience spanning data science, software engineering, and data platform architecture in large-scale, multi-tenant SaaS environments, with a strong foundation in distributed systems and enterprise platforms
Proven track record of architecting, implementing, and operating data-driven platforms across multiple (3–4+) enterprise products
Hands-on expertise in building and scaling high-throughput data ingestion and processing systems, with demonstrated ability to solve for concurrency, latency, and cost efficiency
Strong proficiency in at least one core programming language (Python preferred), used for data pipelines, modeling, experimentation, and production ML systems
Demonstrated ability to operate effectively in a globally distributed team, collaborating across time zones and cultures with product, engineering, and customer-facing stakeholders
Comfortable navigating high ambiguity, exercising autonomy, and setting technical direction in fast-moving, enterprise environments
Solid grounding in big data and distributed query technologies (such as Apache Spark, Hive) for large-scale analysis and feature engineering
Hands-on experience applying AI/ML techniques to observability and operational data, including anomaly detection, root cause analysis, predictive alerting, and system behavior modeling

Job Responsibility

Lead the data science strategy for global deployment and adoption initiatives, driving faster, safer, and more predictable customer onboarding
Architect and deliver advanced analytical, statistical, and machine learning solutions that optimize data migration, configuration validation, risk detection, and adoption outcomes across customer environments
Partner with global stakeholders - including product, engineering, customer success, and implementation teams - to embed data-driven decisioning directly into deployment tooling and workflows
Define success metrics and experimentation frameworks, establishing the leading indicators for customer adoption, time-to-value, and deployment quality across regions and industries
Influence product roadmaps by translating complex data insights into actionable strategic recommendations for senior leadership and stakeholders

Fulltime

Senior Principal Engineer Core Data Platform

Atlassian

Location:
United States , Seattle ▼
San Francisco
Mountain View

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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