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data systems software engineer

staff software engineer

Coinbase

<div><div><p>Ready to be pushed beyond what you think you're capable of?</p>
<p>
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform &mdash; and with it, the future global financial system.</p>
<p>
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.</p>
<p>
Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.</p>
<p>
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.</p></div><p>
The gap between &quot;each service works&quot; and &quot;the system is correct&quot; compounds with every product Coinbase ships, every market it enters, every settlement mechanism it builds. Overseer is the platform that closes it &mdash; making cross-service financial correctness a designed property of the infrastructure, not a coordination problem between teams. At staff-level, you'll define what that platform becomes.</p>
<p><b>
What you'll be doing (ie. job duties)</b>:</p>
<ul>
<li>Define and drive the architecture of the correctness layer across Coinbase's fund flows &mdash; from real-time invariant enforcement to AI-powered guardrails.</li>
<li>Own the core platform: the invariant definition framework, real-time detection engine, and the APIs and tooling that partner teams use to onboard and monitor their fund flows.</li>
<li>Lead the AI guardrails workstream: predictive consistency models that catch deviations before settlement, and proactive invariant discovery so coverage keeps pace with AI-accelerated development. The same AI that speeds up shipping should speed up the correctness layer around it.</li>
<li>Set technical direction for the team, make high-stakes architecture decisions, and raise the engineering bar.</li>
<li>Partner cross-functionally with Transfer Service, Ledger, Payments, Risk, and Compliance to define correctness requirements and drive adoption.</li>
<li>Mentor engineers and translate platform vision into executable roadmap.</li>
</ul>
<p><b>What we look for in you (ie. job requirements)</b>:</p>
<ul>
<li>8+ years of software engineering experience.</li>
<li>You've built fault-tolerant, high-reliability distributed systems at scale.</li>
<li>Platform-builder mindset &mdash; you build infrastructure other teams depend on, not features for a single product.</li>
<li>Experience leading cross-functional technical work with significant company-wide impact.</li>
<li>Strong judgment on where to invest: you can distinguish the load-bearing correctness problem from the interesting-but-optional one.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul>
<p><b>Nice to haves</b>:</p>
<ul>
<li>Experience with financial systems, reconciliation, or ledgering at scale.</li>
<li>Streaming data infrastructure (Kafka, Flink, or similar).</li>
<li>You've worked with Golang, Ruby, Docker, Postgres, MongoDB or DynamoDB.</li>
<li>AI applied to predictive consistency or proactive gap discovery in financial or distributed systems.</li>
<li>Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.</li>
<li>You have gone through a rapid growth in your company (from 10 to 100s of engineers)</li>
</ul>
<p>Job #: P76375</p>
<div></div><div><p>
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.</p>
<h3 class="jobSectionHeader"><b>
Commitment to Equal Opportunity</b></h3>
<p>
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.</p>
<p>
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).</p>
<h3 class="jobSectionHeader"><b>
Global Data Privacy Notice for Job Candidates and Applicants</b></h3>
<p>
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.
</p><h3 class="jobSectionHeader"><b>AI Disclosure</b></h3>
<p><i>
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
</i></p><p><i>For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.</i></p>
<p><b><i>
The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment</i></b><i>. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com</i></p></div></div><p></p>

Staff Software Engineer

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; San Francisco, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li><div>8 years of experience in software development.</div></li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.<br>
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li>
<li>2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p><p>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large scale software solutions.<br>
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.<br>
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.<br>
</li>
<li>Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, AI/ML GenAI, Google Cloud

Uber

<div><b>About the Role
</b><br>
<br>
Uber's Data Platform is the heart of the company's critical decision-making and AI-driven intelligence. We are evolving from traditional data processing toward a <b>Next-Generation Data Intelligence Platform </b>-a unified, elastic fabric that collapses the silos between batch, streaming, and multimodal data.
<br>
<br>
As a <b>Senior Staff Engineer </b>, you will be the architect behind Uber's <b>Elastic Compute </b>, <b>Unified Semantic Layer </b>, and <b>Self-Evolving Knowledge Platform </b>. You will lead the transition from legacy on-premise systems to a <b>Modern, Cloud-Native Ecosystem </b>, designing solutions that handle exabytes of data. Whether it's optimizing <b>Transactional Distributed Storage </b>, or operationalizing <b>Agentic Data Intelligence </b>, your work will define the industry standard for high-performance infrastructure.
<br>
<br>
What You Will Do
<ul><li>Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale.
</li><li>Revolutionize Storage &amp; Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities.
</li><li>Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows.
</li><li>Lead Storage Modernization: Evolve our massive-scale persistence layers-including Docstore (Transactional Distributed Storage) and Distributed MySQL-to increase resiliency and reduce operational overhead.
</li><li>Open Source &amp; Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto).
</li></ul>Basic Qualifications -
<ul><li>14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems.
</li><li>Mastery of Storage Internals: Extensive storage experience is a must. You have deep expertise in:
<ul><li>Batch &amp; Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management.
</li><li>Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures.
</li><li>Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB).
</li><li>NoSQL &amp; Cache: Cassandra, Redis, and high-throughput Key-Value stores.
</li></ul></li><li>Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms.
</li><li>Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing.
</li><li>Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus.
</li></ul><b>- </b><b>Preferred Qualifications -
</b><ul><li>Infrastructure at Scale: Experience designing AI infrastructure, including RAG (Retrieval-Augmented Generation) systems and high-bandwidth data loading for GPUs.
</li><li>Distributed Relational Mastery: Hands-on experience with Sharded/Distributed MySQL (Vitess) and managing large-scale tabular data.
</li><li>Multi-Cloud Vision: Demonstrated ability to build portable data solutions across OCI and GCP, optimizing for resource efficiency and intelligent scheduling.
</li><li>SLA-Driven Reliability: Expertise in building observability, data freshness, and quality frameworks for Tier-0 mission-critical services.
</li>Strategic Influence: Proven ability to lead platform modernization, mentor Staff-level engineers, and influence long-term technical strategy across multiple organizations.<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Staff Software Engineer: Data & Storage Platform

Human Computer Lab

<div><p>We are at the perfect time where robotics will take massive leaps, and we want to be the pioneers in how robots can come into our daily lives. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.</p><p><br>
You will be responsible for building the software and machine learning systems that power robot perception, intelligence, and behavior. You will work closely with robotics engineers to develop and deploy ML models, build real-time software systems, and integrate machine learning with robotic hardware &mdash; turning research and simulation into reliable, production-ready robotics software.</p><p></p><p><b><br>
In this role, you will:</b></p><ul><li><p>
Develop software systems for robotic platforms that power robot perception, intelligence, and behavior</p></li><li><p>
Build machine learning models for tasks such as computer vision, audio processing, and interaction understanding</p></li><li><p>
Design and implement pipelines for training and deploying machine learning models</p></li><li><p>
Integrate ML systems with robotic hardware and embedded systems</p></li><li><p>
Improve robot perception, responsiveness, and behavioral intelligence</p></li><li><p>
Collaborate with robotics engineers to build integrated robotic systems</p></li></ul><p></p><p><b>
You may be a good fit if you:</b></p><ul><li><p>
Have strong programming skills in Python and/or C++ and understanding of algorithms and software engineering fundamentals.</p></li><li><p>
Have experience with machine learning frameworks</p></li><li><p>
Have Experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI</p></li><li><p>
Have Experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)</p></li></ul><ul><li><p>
Are comfortable jumping into unfamiliar systems and can create order through chaos.</p></li><li><p>
Care about users and feel ownership over outcomes, even for systems you don't own.</p></li><li><p>
Think holistically about the entire system and approach complex problems with creative, outside-the-box solutions.</p></li></ul><p></p><p><b>
We are looking for people who:</b></p><ul><li><p>
Absolutely love and are passionate about building intelligent physical systems.</p></li><li><p>
Move quickly and can do rapid iteration cycles.</p></li><li><p>
Take ownership over the systems they design and build, and are curious, resourceful, and motivated to solve difficult problems.</p></li><li><p>
Work well in small, collaborative teams.</p></li><li><p>
Consider not just what immediately works, but how the consumer will engage with the robot.</p></li></ul><p></p><p><b>
Job Details</b></p><p>
Location: San Francisco, California</p><p>
Position Type: Full-time</p><p>
Work Arrangement: In-person or hybrid depending on role needs</p><p></p><h2 class="jobSectionHeader"><b><br>
Our Culture</b></h2><p>
At Human Computer Lab, our mission is to reshape human attachment to technology. We are a fast-paced team that focuses on execution, turning all the ideas and thoughts into reality in front of us!</p><p></p><p>
The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable.</p></div>

Technical Staff - Software / ML Engineer

Adobe

Our Company
<br><br>
Changing the world through digital experiences is what Adobe is all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen.
<br>We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
<br><br>
The Opportunity
<br><br>
We're seeking an outstanding Web or Full stack engineer for Adobe's Firefly Boards team in Firefly, a Generative AI org. You will be part of a team of engineers working closely with other engineering teams on building, scaling, and securing the Firefly Boards product. You will contribute to building innovative user experiences for creative solutions by using the power of multi-modal LLMs from Adobe and its partners.
<br>Firefly Boards is an AI-powered mood-boarding and ideation app that provides a non-linear infinite canvas. It enables a new generation of creatives to embrace generative AI and those who find the linear workflows of legacy software restrictive. Images and videos can be imported or generated using AI models and edited, remixed, iterated on, and organized flexibly, making it easier for artists to visualize and develop ideas on their own or in collaboration.
<br><br>
Ideal Qualifications
<br><br>
Bachelor’s Degree or equivalent experience in Computer Science
<br><br>
5+ years of product experience developing applications (web apps preferred)
<br><br>
Experience with JavaScript/TypeScript, CSS and HTML
<br><br>
Experience with Declarative User Interface (UI) libraries (such as React.JS, Lit , Vue.js)
<br><br>
Experience creating web apps
<br><br>
Experience driving sophisticated software architecture, design and development.
<br><br>
Experience creating and maintaining testable code
<br><br>
Dedication to writing clean code and creating re-usable components
<br><br>
Passion for learning, sharing of new ideas , and creative thinking to provide innovative solutions to challenges
<br><br>
Preferred Qualifications
<br><br>
Experience building Image, video and/or multimedia apps
<br><br>
Experience with creating user experiences for LLMs
<br><br>
Experience with development tools such as Jenkins, GitHub, lint, etc.
<br><br>
Experience with improving performance and stability of the apps
<br><br>
Experience with Accessibility ( A11y )
<br><br>
Experience with Localization
<br><br>
Experience working in an Agile development environment
<br><br>
#Firefly Boards
<br><br>
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $153,600 -- $28 4 , 0 00 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
At Adobe , for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP ).
<br>In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
<br><br>
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies not recruit or hire each other’s employees.
<br><br>
About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
<br><br>
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
<br><br>
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
<br><br>
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
<br><br>
<b>Expected Pay Range:</b> Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $173,500 -- $331,050 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
<br><br>
In California, the pay range for this position is $228,600 - $331,050
<br><br>
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
<br><br>
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
<br><br>
<b>State-Specific Notices:</b><br>
<b>California :</b><br>
Fair Chance Ordinances
<br>Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
<br><br>
<b>Colorado:</b><br>
Application Window Notice
<br><br>
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
<br><br>
<b>Massachusetts:</b><br>
Massachusetts Legal Notice
<br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Sr Staff Software Development Engineer _ Firefly Boards

Airwallex

<div><div><div><b>About Airwallex</b></div><p>
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide &ndash; including Brex, Rippling, Navan, Qantas, SHEIN and many more &ndash; with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.</p><p>
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you&rsquo;re ready to do the most ambitious work of your career, join us.</p><p></p><p><b>
Attributes We Value</b></p><p>
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you&rsquo;re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.</p><p>
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you &ldquo;get stuff done&rdquo; end-to-end. You use AI to work smarter and solve problems faster. Here, you&rsquo;ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let&rsquo;s build what&rsquo;s next.</p><p></p><p><b>
Staff Data Platform Engineer (Real-time Data Platform) Knowledge Platform Team</b></p><p><b>
Hiring Location: San Francisco</b></p><p></p><p>
Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world&rsquo;s most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform.</p><p></p><p>
Established in 2015 in Melbourne, we aim to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America.</p><p></p><p><b>
Who We Are? Team Introductions:</b></p><p>
The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models.</p><p></p><p>
In 2026, our team&rsquo;s overarching mission is to evolve our full data ecosystem&mdash;encompassing both platform and models&mdash;into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making.</p><p></p><p><b>
Who You Are? Role Overview:</b></p><p>
As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. You will play a pivotal role in influencing data-driven and AI-powered decision-making processes. A key aspect of your role will also include building a high-performing team that excels in a fast-paced environment. Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence.</p><p></p><p><b>
Responsibilities：</b></p><ul><li><div>
Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions.</div></li><li><div>
Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading in solving complex problems hands-on.</div></li><li><div>
Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation.</div></li><li><div>
Mentor the data platform team, nurturing both technical and professional development.</div></li></ul><p></p><p><b>
Minimum Requirements:</b></p><ul><li><div>
A minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field.</div></li><li><div>
Proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning.</div></li><li><div>
Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes.</div></li><li><div>
Demonstrated ability to balance execution and velocity with in-depth research, statistical understanding, and scalable design.</div></li><li><div>
Track record of mentoring and investing in the development of scientists, engineers, and peers.</div></li><li><div>
Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security.</div></li><li><div>
Proficiency in building, deploying, and maintaining reliable multi-geographical data pipelines at scale.</div></li><li><div>
Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc.</div></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><div>
Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture.</div></li><li><div>
Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.</div></li><li><div>
Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide).</div></li><li><div>
Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design.</div></li><li><div>
Experience thriving in a complex environment.</div></li></ul><p></p><p>
At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you&rsquo;ll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative.</p><p></p><p><b>
Applicant Safety Policy: Fraud and Third-Party Recruiters</b></p><p><i>
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @</i><i>airwallex.com</i><i> email address. Please apply only through </i><i>careers.airwallex.com</i><i> or our official LinkedIn page.</i></p><p><i>
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.</i></p><p></p><p><b>
Equal opportunity</b></p><p>
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don&rsquo;t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.</p></div></div><p></p>

Staff Data Platform Engineer

Lawrence Berkeley National Laboratory

<div></div><div><p>Lawrence Berkeley National Laboratory is hiring a Data Systems Software Engineer within the Scientific Data division. In this exciting role, you will work with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both domestically and abroad, on a wide array of software development and data science issues serving the broader SciData mission.</p><p></p><p><br>
We&rsquo;re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!</p><p></p><p><i><br>
Why join Berkeley Lab?</i></p><p></p><p><br>
We invest in our employees by offering a total rewards package you can count on:</p><ul><li><div>
Exceptional health and retirement benefits, including pension or 401K-style plans</div></li><li><div>
A culture where you&rsquo;ll belong - we are invested in our teams!</div></li><li><div>
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.</div></li><li><div>
Parental bonding leave (for both mothers and fathers)</div></li><li><p>
Pet insurance</p></li></ul><p></p><p><br>
You will:</p><ul><li><p>
Apply modern data management practices and tools to scientific data challenges, using current best-practices in database architectures, storage formats, query languages, and metadata standards.</p></li><li><div>
Build software tools to perform complex data engineering, analysis, and curation tasks for both long- and short-term needs using best-in-class algorithms, methodologies, and/or practices.</div></li><li><div>
Apply and follow current and effective cybersecurity practices for systems administration, data management, software development, and communications.</div></li><li><div>
Use and adapt AI (and ML) tools and practices for both the software development lifecycle and as part of delivered functionality to meet both current and future requirements of scientific teams and projects.</div></li><li><div>
Collaborate and communicate effectively within cross-functional teams including domain scientists, facility staff, and computer scientists and engineers.</div></li><li><div>
Apply state of the art software engineering techniques and principles:</div><ul><li><div>
Create tests and software documentation (both developer and user-focused).</div></li><li><div>
Optimize, debug, and maintain software once it is deployed into production.</div></li><li><div>
Employ software development lifecycle, devops and release management practices.</div></li><li><div>
Collaborate with other developers through modern tools and practices.</div></li></ul></li><li><div>
Network with senior internal and external personnel in their own area of expertise.</div></li><li><div>
Work on and resolve problems of diverse scope where analysis of data requires evaluation of identifiable factors.</div></li><li><p>
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.</p></li></ul><p></p><div><br>
In addition, the Computer Systems Engineer Level 3 will:</div><ul><li><div>
Coordinate and/or lead software engineering and science teams with defining requirements and features for software systems.</div></li><li><div>
Architect and implement division-wide or cross-project data management tools, methods, or strategies to optimize data integrity, access, and scale.</div></li><li><div>
 Lead the design and development of major software systems or components, setting the technical direction and ensuring the integration of best-in-class algorithms and methodologies across multiple projects.</div></li><li><div>
Strategically evaluate, pioneer, and integrate novel AI/ML tools and agentic computing practices to deliver transformative capabilities, addressing complex, future-looking scientific requirements.</div></li><li><div>
Champion and evolve the group's software engineering standards, including testing, documentation, deployment, and operations.</div></li><li><div>
Mentor junior staff and developers, and proactively establish and nurture strategic partnerships with internal and external research teams to advance collaborative project goals.</div></li><li><div>
Establish and maintain relationships with stakeholders in the external scientific computing community.</div></li><li><div>
Present to audiences within and outside the lab.</div></li><li><div>
Work at a higher level of independence when completing assignments.</div></li><li><div>
Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.</div></li><li><div>
Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.</div></li><li><div>
Determine methods and procedures on new assignments and may coordinate activities of other personnel.</div></li><li><p>
Network with key contacts outside your own area of expertise.</p></li></ul><p></p><div><br>
Requirements:</div><div>
Computer Systems Engineer Level 2:</div><ul><li><div>
Bachelor's degree and 5 years of related experience, or 3 years and a Master's degree, or three years and a PhD degree, or an equivalent combination of education and work experience.</div></li><li><div>
Familiarity with command-line and system administration tools in UNIX-based operating systems like Linux or MacOS.</div></li><li><div>
Proficiency in Python.</div></li><li><div>
Proficiency in multiple general-purpose and/or domain specific programming languages such as JavaScript, Typescript, C/C++, Java, MATLAB, R, etc.</div></li><li><div>
Familiarity with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as &quot;data lakehouse&quot; architectures.</div></li><li><div>
Experience and expertise with AI tools and frameworks, including those for agentic workflows.</div></li><li><div>
Familiarity and some experience with AI and related technologies to develop, document, test, and deploy software</div></li><li><div>
Excellent English written and oral communication.</div></li><li><div>
Strong interpersonal skills for working in a diverse team environment.</div></li><li><p>
Ability to obtain security clearance sufficient to interact with CUI and/or Classified information.</p></li></ul><p></p><div><br>
In Addition, Computer Systems Engineer Level 3:</div><ul><li><p>
Bachelor&rsquo;s degree and 8 years of related experience, or 6 years and a Master&rsquo;s degree, or three years and a PhD degree, or an equivalent combination of education and work experience.</p></li><li><div>
Demonstrated experience with the entire software development process, from requirements through design, to implementation, release and deployment.</div></li><li><div>
Experience and expertise with current major data storage, data management, and data analysis methodologies, tools, and frameworks, such as &quot;data lakehouse&quot; architectures</div></li><li><p>
Experience with AI tools and frameworks, including those for agentic workflows.</p></li></ul><p></p><p><br>
Desired skills/knowledge:</p><ul><li><p>
Experience and expertise with cybersecurity theory and practice.</p></li><li><div>
Domain expertise in chemical engineering, chemistry, physics, or a related field.</div></li><li><div>
Deep understanding of the software development lifecycle.</div></li><li><div>
Understanding of HPC and large-scale systems.</div></li><li><div>
Familiarity with orchestration platforms (kubernetes), OS systems and tools, parallel programming, databases, data management, resource management.</div></li><li><div>
Ability to troubleshoot and solve problems of diverse scope where analysis of data requires evaluation of identifiable factors.</div></li><li><p>
Ability to network with senior internal and external personnel in their own area of expertise.</p></li></ul><p></p><div><br>
In Addition, Computer Systems Engineer Level 3:</div><ul><li><p>
Experience with software project management and system administration.</p></li><li><div>
Experience leading cross-functional teams.</div></li><li><div>
Experience serving as a subject matter expert in cybersecurity practices for scientific computing, conducting security reviews, and establishing organizational standards for secure software development and data handling.</div></li><li><div>
Experience identifying and securing new collaborative opportunities and resources.</div></li><li><div>
Demonstrated ability to work effectively as part of a cross-disciplinary team.</div></li><li><div>
Ability to resolve complex issues in creative and effective ways.</div></li><li><div>
Ability to exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.</div></li><li><p>
Ability to network and collaborate with key contacts outside their own area of expertise.</p></li></ul><div></div><p><br>
Additional information:</p><ul><li><div>
Application Date: Priority consideration will be given to candidates who apply by May 1, 2026. Applications will be accepted until the job posting is removed.</div></li><li><div>
Appointment Type: This is a full-time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.</div></li><li><div>
Two openings for this position</div></li><li><div>
Salary Information:</div><ul><li><div>
The expected annual salary for the Computer Systems Engineer Level 2 position is $132,000 - $161,000, which fits into the full salary of $117,132- $197,676 depending upon the candidate&rsquo;s skills, knowledge, and abilities. This includes education, certifications, and years of experience.</div></li><li><div>
 The expected annual salary for the Computer Systems Engineer Level 3 position is $157,000 - $192,000, which fits into the full salary of $139,440- $235,308 depending upon the candidate&rsquo;s skills, knowledge, and abilities. This includes education, certifications, and years of experience.</div></li></ul></li></ul><ul><li><div>
Background Check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.</div></li><li><div>
Work Modality: Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.</div></li><li><div>
Work Authorization: The selected incumbent for this position is required to be a U.S. Citizen at time of hire.</div></li><li><p>
Multi-level Posting: This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.</p></li></ul><p></p><p><br>
Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov</p><div></div><p><br>
Equal Employment Opportunity Employer:</p><p>
The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.</p><div></div><p><br>
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</p></div><div></div>

Data Systems Software Engineer

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