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software development engineer iii / senior software development engineer - full stack Jobs in Seattle

software development engineer iii / senior software development engineer - full stack

software engineer

senior software engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
<br>
IVS is building the future of interactive video and we are seeking a Data Infrastructure Engineer to design, build, and maintain the systems that power our data-driven organization. In this role, you will ensure that our data pipelines, storage, and processing systems are reliable, scalable, and optimized for analytics, machine learning, and business intelligence use cases. You will collaborate with data engineers, analysts, and software teams to create infrastructure that enables efficient and secure access to high-quality data.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, implement, and maintain scalable data infrastructure in AWS cloud</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads.</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting.</li><li>Work closely with data engineering and analytics teams to understand requirements and deliver high-performance solutions.</li><li>Champion best practices for security, compliance, and governance in data infrastructure.</li><li>Identify opportunities to optimize performance and cost of data platforms.</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem.</li></ul><br>
A day in the life<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the team<br>
Our Video Team is the backbone of Twitch. Twitch processes a massive amount of live video channels and distributes them using the largest dedicated live video CDN in the world, delivering over 25Tbps to more than 5MM concurrent viewers. In addition to serving Twitch traffic, our video platform is offered as Amazon Interactive Video Service, an AWS service that allows creation of live video streaming with only a few lines of code. Engineers with our Video Team work across areas including ingest, transcoding, and distribution with the lowest latency high-scale HLS distribution system in the world.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of hands-on infrastructure, troubleshooting, systems administration, networking, DevOps or applications development experience</li><li>Strong hands-on expertise with cloud platforms</li><li>Proficiency in data pipeline tools (e.g., Airflow, dbt, AWS Glue, Flink).</li><li>Experience with data storage technologies (e.g., Redshift, Snowflake, BigQuery, Delta Lake, Iceberg, Parquet).</li><li>Proficiency in GO, SQL, and Python for building and maintaining data systems.</li><li>Solid understanding of distributed systems and performance optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with real-time data streaming and event-driven architectures.</li><li>Strong hands-on expertise with AWS cloud</li><li>Background in observability and monitoring</li><li>Knowledge of data governance, security, and compliance best practices</li><li>Prior experience supporting machine learning or advanced analytics environments.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Software Engineer, Twitch

Paradox

<div><p><b>Your work days are brighter here.
</b></p><p></p><p>We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
</p><p></p><p><b>About the Team
</b></p>Agent Factory is where Workday&rsquo;s next chapter gets built. We&rsquo;re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI&mdash;deeply embedded into Workday&rsquo;s platform&mdash;not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You&rsquo;ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.
<p></p><p><b>About the Role
</b></p><p></p><p>As a Full Stack Software Engineer in Agent Factory, you&rsquo;ll help build the user-facing and platform experiences that bring Workday&rsquo;s AI agents to life. Working within a small, cross-functional pod, you&rsquo;ll design and ship full stack solutions&mdash;from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows. This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world. You&rsquo;ll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production. If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you&rsquo;ll feel right at home here.
</p><p></p><p>Your responsibilities:
</p><ul><li><p>Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
</p></li><li><p>Own services and experiences from development through production&mdash;you build it, you run it
</p></li><li><p>Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
</p></li><li><p>Share knowledge, mentor teammates, and help raise the technical bar across the pod
</p></li></ul><p></p><p><b>About You
</b></p><p></p><p><b>Senior Software Development Engineer - Basic Qualifications:
</b></p><ul><li><p>8+ years of experience in software engineering
</p></li><li><p>5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
</p></li><li><p>5+ years with a Relational DB (PostgreSQL preferred)
</p></li></ul><p></p><p><b>Software Development Engineer III - Basic Qualifications:
</b></p><div><div><div><div><div><div><div><div><div><ul><li><p>5+ years of experience in software engineering
</p></li><li><p>2+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
</p></li><li><p>2+ years of experience with React and Typescript for Front End / Full stack development
</p></li><li><p>2+ years with a Relational DB (PostgreSQL preferred)
</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p><b>Other Qualifications:
</b></p><ul><li><p>Bachelor's degree in a computer related field or equivalent work experience
</p></li><li><p>Experience building and operating SaaS products in cloud environments (AWS preferred)
</p></li><li><p>Familiarity with the tradeoffs and architecture of modern distributed systems
</p></li><li><p>Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
</p></li><li><p>Hands-on experience with containerization technologies (Docker, Kubernetes)
</p></li><li><p>Familiarity with Elasticsearch
</p></li><li><p>Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus
</p></li><li><p>Proven success working within fast-paced, agile environments and cross-functional teams
</p></li><li><p>Strong communication skills, with the ability to collaborate with both technical and non-technical partners
</p></li><li><p>Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
</p></li><li><p>Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement<br>
</p></li></ul><p><br>
<b>Workday Pay Transparency Statement
</b></p><p></p><p>The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .
</p><p></p>Primary Location: USA.WA.Seattle
<p></p>Primary Location Base Pay Range: $161,300 USD - $241,900 USD
<p></p>Additional US Location(s) Base Pay Range: $145,900 USD - $259,200 USD<br>
<p><br>
<br>
<b>Our Approach to Flexible Work<br>
</b><br>
</p><p>With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply <b>spend at least half (50%) of our time each quarter in the office or in the field </b>with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.
</p><p></p><p>Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
</p><p></p><p>Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
</p><p></p><p><b>Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
</b></p><p>At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.<br>
</p><p></p><p>Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.<br>
</p><p></p><p>In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</p></div>

Software Development Engineer III / Senior Software Development Engineer - Full Stack

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.<br>
<br>
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.<br>
<br>
We are looking for a Sr Software Development Engineer to help us evolve the tools, services and frameworks we provide. We seek that rare combination of a solid coding background, a proven track record of applying technologies at scale, and a willingness to challenge the status quo and raise the bar on every service and feature we build.<br>
<br>
Key job responsibilities<br>
Deliver Results and Bias for action matter. Own, build, develop and lead the technical components of a business critical initiative to design, develop, launch and maintain advertising solution(s) and service(s) that enables advertisers with simplified AI-powered advertising offerings.<br>
<br>
We are looking for a someone excited about this technical strategy of engineering and science teams by working closely with a Principal Engineer and Scientists.<br>
<br>
You will also help mentor SDEs.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr Software Dev Engineer, Amazon Advertising

Uber

<div><b>About the Role</b>
<br>
<br>
We are seeking a talented and experienced Sr Software Engineer to join our Threat Defense and Response team and help drive the next generation of AI-powered cyber defense capabilities. This role will focus on advancing our ability to identify, research, investigate, and respond to evolving threats across cyber defense.<br>
<br>
As cyber threats grow in speed and sophistication, this role will be instrumental in architecting and scaling security solutions that combine advanced engineering with AI. You will collaborate with cross-functional engineering, ML, and security teams, build automation that amplifies human defenders, and shape Uber's cyber defense strategy.<br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
- What the Candidate Will Do -<br>
<ul><li>
Design and develop scalable, reliable, and high-performance software platform and services for Uber's cyber defense
</li><li>Drive development of AI agents that support cyber defense workflows including threat intelligence, hunting, research, and more.</li><li>
Collaborate with cross-functional cybersecurity experts to translate requirements into automated, production-ready capabilities.</li><li>
Collaborate with cross-functional software engineering teams to build end-to-end cyber defense solutions.</li><li>
Contribute to strategy by defining what good&quot; looks like across cyber defense domains and guiding the team toward measurable outcomes.</li><li>
Deliver high-quality, secure code and mentor junior engineers in engineering best practices.</li></ul><br>
- Basic Qualifications -<br>
<ul><li>
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field</li><li>
5+ years of experience in software engineering, with a focus on building and scaling systems</li><li>
Proficiency in at least one of the following programming languages: C++, Java, Go, or Python</li><li>
Strong experience in backend software architecture design</li><li>
Experience in building and evaluating AI agents/agentic workflows end-to-end</li><li>
Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerized platforms (Docker, Kubernetes)</li></ul><br>
- Preferred Qualifications -<br>
<ul><li>
Master's or PhD degree in Computer Science, Engineering, Cybersecurity, or a related field
</li><li>Experience with AI/ML technologies and frameworks and incorporating them into production systems</li><li>
Knowledge of cybersecurity concepts, principles, tools, and best practices. Hands-on experience in a cybersecurity domain (e.g. threat intelligence, threat hunting, threat modeling, vulnerability management, detection engineering, incident response) would be a plus</li><li>
Proven track record of leading complex software projects from inception to delivery</li><li>
Strong problem-solving skills and a passion for innovation</li></ul><br>
<br>
<br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Software Engineer, AI and Backend

Verinext

<div><p>We are seeking a Senior Cloud &amp; Infrastructure Automation Engineer with deep expertise in Terraform, Microsoft Azure, and Databricks to design, automate, and evolve cloud infrastructure and data platforms. This role sits at the intersection of cloud infrastructure, identity-driven provisioning, and data integration, and requires both hands-on execution and the ability to influence better technical approaches across the organization.</p><p></p><p>
The ideal candidate brings strong engineering fundamentals, modern automation practices, and the flexibility to help shape how infrastructure and data platforms are provisioned, integrated, and delivered at scale.<br>
<br>
This is a contract opportunity with one of Verinext's clients. Candidates must be comfortable working West Coast hours.
</p><p><b>Requirements</b></p><p><b>
Azure Cloud Engineering</b></p><ul>
<li>
Architect, deploy, and manage enterprise-grade Azure infrastructure and services</li>
<li>Implement and optimize Azure networking, security, identity, and governance components</li>
<li>Partner with architecture and platform teams to improve cloud design patterns and operational models</li>
</ul><p><b>
Infrastructure as Code &amp; Automation (Terraform)</b></p><ul>
<li>
Design and maintain Infrastructure as Code (IaC) using Terraform for repeatable, scalable deployments</li>
<li>Build and enhance CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent) to automate infrastructure provisioning and changes</li>
<li>Introduce and evaluate alternative automation approaches to improve speed, reliability, and maintainability</li>
</ul><p><b>
Data Platform Integration (Databricks)</b></p><ul>
<li>
Support provisioning and integration of Databricks environments within Azure</li>
<li>Enable secure and reliable data movement in and out of Databricks</li>
<li>Collaborate with data engineering teams to align infrastructure automation with analytics and data platform needs</li></ul><p><br>
<b>Additional Responsibilities</b></p><ul>
<li>
Support cloud provisioning workflows integrated with <b>SailPoint</b>, enabling identity-driven access and automation</li>
<li>Track and report delivery progress and project work using <b>Jira</b>
</li><li>Participate in agile ceremonies, technical design reviews, and cross-team planning</li>
<li>Document infrastructure standards, automation workflows, and best practices</li></ul><p><br>
<b>Required Skills &amp; Experience</b></p><ul>
<li>
Senior-level experience with Terraform in production Azure environments</li>
<li>Strong hands-on experience with Microsoft Azure, including compute, networking, security, and identity</li>
<li>Experience supporting or integrating Databricks within Azure-based platforms</li>
<li>Proven experience building and maintaining CI/CD pipelines for infrastructure and platform deployments</li>
<li>Experience working with Jira for project tracking and delivery reporting</li>
<li>Ability to think beyond standard implementations and propose improved or alternative technical solutions</li></ul><p><br>
<b>Nice-to-Have Skills</b></p><ul>
<li>
Experience with SailPoint identity provisioning and access workflows</li>
<li>Experience with Boomi for integration and data orchestration</li>
<li>Exposure to JD Edwards (JDEdwards) environments or ERP integrations</li>
<li>Familiarity with DevSecOps and cloud security automation practices</li></ul><p><br>
<b>Soft Skills &amp; Attributes</b></p><ul>
<li>
Strong problem-solving and analytical skills</li>
<li>Comfortable working across cloud, identity, data, and application teams</li>
<li>Clear communicator with both technical and non-technical stakeholders</li>
<li>Adaptable, collaborative, and continuously improvement-focused</li></ul><p></p><p><b><br>
Benefits</b></p><ul>
<li>
Health Care Plan (Medical, Dental &amp; Vision)</li>
<li>Retirement Plan (401k, IRA)</li></ul></div>

Senior Cloud & Automation Engineer

Atlassian

<div>Overview:
<p><b>
Working at Atlassian</b></p><p>
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.</p><p></p>
Responsibilities:
<ul><li><p><b>
Search Quality Definition &amp; Evaluation</b></p><ul><li><p>
Define and track core retrieval metrics (Hit@K, Precision, Recall) to objectively measure the effectiveness of the search tool across different internal datasets.</p></li><li><p>
Collaborate with domain experts to curate &quot;Golden Datasets&quot; (Ground Truth) to benchmark passage ranking and chunking strategies against real-world agent queries.</p></li><li><p>
Develop automated regression suites that flag degradation in retrieval quality before code reaches production.</p></li></ul></li><li><p><b>
Latency Optimization &amp; High-Scale Engineering</b></p><ul><li><p>
Optimize the retrieval path to ensure low-latency responses, critical for multi-step agent chains where search creates compounding delays.</p></li></ul></li><li><p><b>
Operational Excellence &amp; Quality &quot;Dissat&quot; Response</b></p><ul><li><p>
Serve as the primary on-call engineer for &quot;Search Dissatisfaction&quot; (Dissat), investigating instances where agents failed tasks due to poor information retrieval.</p></li><li><p>
Perform root cause analysis on bad queries to determine if the fix requires re-indexing, better chunking logic, or updated embedding models.</p></li><li><p>
Monitor system health and search saturation, proactively scaling infrastructure to handle bursty workloads from concurrent agents.</p></li></ul></li></ul><p></p>
Qualifications:
<p><b>
Compensation</b></p><p>
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:</p>
<p>This role may also be eligible for benefits, bonuses, commissions, and equity.</p>
<p>Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p>
<p></p><p><b>Benefits &amp; Perks</b></p><p>
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <b>go.atlassian.com/perksandbenefits</b><b>.</b></p><p><b>
About Atlassian</b></p><p>
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.</p><p>
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.</p><p>
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.</p><p>
To learn more about our culture and hiring process, visit <b>go.atlassian.com/crh</b><b>.</b></p></div>

Senior Machine Learning Engineer

Workday

<div><div>Your work days are brighter here.</div><div></div><div>
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.</div><div></div><div>
About the Team</div>
Agent Factory is where Workday&rsquo;s next chapter gets built. We&rsquo;re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI&mdash;deeply embedded into Workday&rsquo;s platform&mdash;not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You&rsquo;ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.<div></div><div>
About the Role</div><div></div><div>
As a Senior/Principal Machine Learning Engineer in Agent Factory, you&rsquo;ll design and build the core ML systems behind Workday&rsquo;s next generation of AI agents. Working within a small, senior, cross-functional pod, you&rsquo;ll own how models, agent logic, and orchestration layers come together in production&mdash;across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement. You&rsquo;ll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You&rsquo;ll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built to operate at global scale.</div><div></div><div>
About You</div><div></div><div>
Principal Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
10+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
4+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
6+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
3+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
6+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Senior Machine Learning Engineer - Basic Qualifications</div><ul><li><div>
7+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation</div></li><li><div>
3+ years of professional experience in machine learning and deep learning frameworks &amp; toolkits such as Pytorch, TensorFlow</div></li><li><div>
4+ years of professional experience in building services to host machine learning models in production at scale</div></li><li><div>
2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases</div></li><li><div>
4+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement</div></li><li><div>
Bachelor&rsquo;s (Master&rsquo;s or PhD preferred) degree in engineering, computer science, physics, math or equivalent</div></li></ul><div></div><div>
Other Qualifications:</div><ul><li><div>
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation</div></li><li><div>
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases</div></li><li><div>
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams</div></li><li><div>
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders</div></li><li><div>
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.</div></li></ul><div><br>
Workday Pay Transparency Statement</div><div></div><div>
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please <div>click here</div>.</div><div></div>
Primary Location: USA.WA.Seattle<div></div>
Primary Location Base Pay Range: $215,000 USD - $322,600 USD<div></div>
Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USD<div><br>
Our Approach to Flexible Work</div><div><br>
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.</div><div></div><div>
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.</div><div></div><div>
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!</div><div>
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.</div><div></div><div><br>
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.</div><div></div><div><br>
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div></div>

Senior/Principal Machine Learning Engineer

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