distributed systems engineer

Apple

The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple&rsquo;s unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads. 
 
You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple&rsquo;s intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale. 
 
Description 
 
Apple Ray integrates deeply with Apple&rsquo;s data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure. 
 
You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple&rsquo;s ML workloads. You&rsquo;ll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane. 
 
This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Build scalable distributed systems and platform components using Ray that power Apple&rsquo;s data+ML workflows. 
 
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines. 
 
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale. 
 
Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features. 
 
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs. 
 
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability. 
 
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads. 
 
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools. 
 
Preferred Qualifications 
 
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO). 
 
Background in optimizing GPU workloads or performance benchmarking. 
 
Experience with model orchestration systems or ML platforms. 
 
Contributions to open-source ML or distributed systems projects. 
 
Familiarity with large-scale data systems such as Spark, Flink, or similar. 
 
Minimum Qualifications 
 
6+ years building distributed systems, high-scale backend services, or compute runtimes. 
 
Solid background in ML workflows, model training, model serving, or data pipeline development. 
 
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java). 
 
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training. 
 
Understanding of parallelism strategies, model scaling, or distributed training concepts. 
 
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems. 
 
Strong debugging skills across distributed and ML-centric runtime environments. 
 
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams. 
 
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering experience. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior / Staff ML Engineer, Apple Ray, Apple Data Platform

Snowflake

<div>
 Snowflake is about empowering enterprises to achieve their full potential &mdash; and people too. With a culture that&rsquo;s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology &mdash; and careers &mdash; to the next level.
 
 
 We&rsquo;re hiring talented Software Engineers to join the Snowflake Database Engineering team! In this role you will work directly with our team to evolve our elastic, large scale, high-performance data processing system. We need smart engineers who can pick up and understand complex technical areas quickly &ndash; and who are enthusiastic about building new technologies!
 
 
 
 AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:
 
 
 
 <ul>
 <li>
 Design, develop, and support a petabyte-scale cloud database that is highly parallel and fault-tolerant.
 </li>
 <li>
 Build high-quality and highly reliable software to meet the needs of some of the largest companies on the planet.
 </li>
 <li>
 Analyze and understand performance and scalability bottlenecks in the system and solve them.
 </li>
 <li>
 Pinpoint problems, instrument relevant components as needed, and ultimately implement solutions.
 </li>
 <li>
 Design and implement novel query optimization or distributed data processing algorithms which allow Snowflake to provide industry leading data warehousing capabilities.
 </li>
 <li>
 Design and implement the new service architecture required to enable the Snowflake Data Cloud
 </li>
 <li>
 Develop tools for improving our customers' insights into their workloads.
 
 
 
 </li>
 </ul>
 
 OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
 
 
 
 <ul>
 <li>
 2+ years industry experience working on commercial or open-source software.
 </li>
 <li>
 Fluency in Java or C++.
 </li>
 <li>
 Familiarity with development in a Linux environment.
 </li>
 <li>
 Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems.
 </li>
 <li>
 Systems programming skills including multi-threading, concurrency, etc.
 </li>
 <li>
 Experience with implementation testing, debugging and documentation.
 </li>
 <li>
 Bachelor&rsquo;s degree or foreign equivalent in Computer Science, Software Engineering or related field; Masters or PhD preferred.
 </li>
 <li>
 Ability to work on-site in our Menlo Park / Bellevue / Berlin office.
 
 
 
 </li>
 </ul>
 
 BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
 
 
 
 <ul>
 <li>
 SQL or other database technologies including internal design and implementation.
 </li>
 <li>
 Query optimization, query execution, compiler design and implementation.
 </li>
 <li>
 Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc.
 </li>
 <li>
 Experience with MySQL, PostgreSQL internals
 </li>
 <li>
 Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark.
 </li>
 <li>
 Large scale distributed systems, transactions and consistency models.
 </li>
 <li>
 Experience in database replication technology
 </li>
 <li>
 Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, etc.
 
 
 
 </li>
 </ul>
 
 Every Snowflake employee is expected to follow the company&rsquo;s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company&rsquo;s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
 
 
 
 Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
 
 
 How do you want to make your impact?
 
 
 For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
 
 
 The following represents the expected range of compensation for this role:
 
 
 <ul>
 <li>
 The estimated base salary range for this role is $160,000 - $230,000.
 </li>
 <li>
 Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.
 
 
 
 </li>
 </ul>
 The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
 
 
 To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
</div>

Software Engineer - Database Engineering

Our team is dedicated to solving the high-quality training data problem at the scale required to train advanced Foundation Models. We believe that the advanced model performance (including reasoning, coding, and agentic planning) fundamentally depends on a data-centric approach to Machine Learning. Our objective is to engineer a large-scale system that acquires, processes, and curates the data required to advance the state of the art in Artificial Intelligence. 
 
We are seeking a Senior Research Engineer who possesses a deep understanding of distributed systems and a strong intuition for Machine Learning. You will join a culture that values engineering craftsmanship, privacy, and rigorous scientific inquiry, utilizing advanced cloud technologies to build the data systems that powers our most capable models. 
 
Description 
 
This position operates at the convergence of Software Engineering and Machine Learning Research. Unlike traditional backend roles, this position requires you to design systems where the outcome is the statistical distribution and quality of data itself. You will work alongside Research Scientists to transform theoretical observations into concrete, scalable engineering solutions. Your core focus will be the architecture of our Data Acquisition, Processing, and Repository Management systems for Large Model training. You will lead technical efforts to enable active, quality-driven data curation, including filtering, deduping, synthetic data generation and data mixing, ensuring our models are trained on the highest-quality information available.&quot;,&quot;responsibilities&quot;:&quot;Architect Scalable Ingestion Systems: Design and implement high-throughput distributed systems to ingest petabytes of text and multimodal data from diverse sources, including web crawls and third-party partnerships. 
 
Repository Optimization: Manage the lifecycle of large-scale datasets across data storage and high-performance file systems. Optimize data formats for efficient random access and sequential scanning during model training. 
 
Data Governance &amp; Privacy: Engineer robust data governance and privacy solutions for the training data, in collaboration with compliance and legal teams, to ensure adherence to stringent regulatory standards. 
 
High-Performance Processing Pipelines: Build and maintain distributed data processing workflows using advanced frameworks on cloud infrastructure (e.g., GCP, AWS). 
 
Algorithmic Data Curation: Implement sophisticated data filtering and selection logic to remove low-quality content. Develop semantic deduplication at scale to prevent model memorization and improve training efficiency. 
 
Decontamination Removal: Design automated systems to detect and remove benchmark leakage, ensuring that evaluation datasets remain strictly isolated from training corpora. 
 
Infrastructure for Scaling Laws: Collaborate with researchers to enable data ablations and scaling experiments. Build tools to support systematic data mixture optimization and empirically data studies. 
 
Preferred Qualifications 
 
Research Collaboration: Experience working within or closely with ML research organizations (e.g., as a Research Engineer), with an ability to translate research results into engineering implementations. 
 
Domain Knowledge: Familiarity with lifecycle of modern LLM training, end-to-end workflows, and underlying system architecture. 
 
Complex Data Types: Experience in processing complex data modalities beyond plain text, such as source code repositories, images, videos, and audios. 
 
Minimum Qualifications 
 
Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or Mathematics. 
 
Technical Expertise: 4+ years of software engineering experience with a specific focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering. 
 
Language Proficiency: Expert fluency in Python, and strong competence in system languages such as C++. 
 
Cloud Architecture: Extensive experience architecting solutions on major public cloud platforms (e.g. GCP) to build scalable data systems (e.g. with Apache Beam, GCS) 
 
Performance Engineering: Deep experience profiling and optimizing high-throughput data systems. Demonstrated ability to debug distributed bottlenecks (e.g., stragglers, I/O saturation), optimize data formats and provide efficient data storage solutions. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Research Engineer, Training Data Infrastructure in Foundation Models

Kamiwaza AI

<div><h1 class="jobSectionHeader">MTS &ndash; Senior Software Engineer</h1>
This role is based in Colorado. Remote candidates may be considered if they currently reside in the United States and can collaborate within U.S. business hours.<h2 class="jobSectionHeader">
Role Overview</h2>
Kamiwaza is seeking a Senior Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers.
In this role, you will design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. You will play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production.
This role is ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Architect and develop high-performance, reliable systems for GenAI model serving, data orchestration, and distributed computing</li><li>
Build and scale infrastructure for embeddings, retrieval systems, data catalogs, and evaluation workflows</li><li>
Design and maintain secure, scalable APIs with a strong emphasis on developer experience</li><li>
Enhance deployment pipelines, observability tooling, and operational best practices to ensure platform resilience</li><li>
Collaborate cross-functionally to evaluate emerging GenAI research, benchmarks, and techniques &mdash; bringing the most impactful innovations into production</li><li>
Contribute to platform-level decisions around cluster management, orchestration, and service reliability</li></ul><h2 class="jobSectionHeader">
Minimum Requirements</h2><ul><li>
5+ years of professional software engineering experience building and scaling complex platforms or distributed systems</li><li>
Strong proficiency in Python, including designing, developing, and debugging production-grade services</li><li>
Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements</li><li>
Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals</li><li>
Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions</li><li>
Excellent collaboration and communication skills with a strong sense of ownership and accountability</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
BS or MS in Computer Science, Software Engineering, or a related field</li><li>
Open source contributions related to GenAI, distributed systems, or data orchestration</li><li>
Experience with cloud networking (DNS, VPC configuration, infrastructure security)</li><li>
Strong quantitative background (math, physics, ML, or related fields)</li><li>
Experience using GenAI tools to augment development workflows</li><li>
Familiarity with enterprise software development lifecycles from architecture through post-deployment support</li></ul><h2 class="jobSectionHeader">
Why Join Us?</h2>
Purpose &amp; Impact: Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. 
Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. 
Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. 
High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. 
Competitive Compensation &amp; Equity: Own a piece of our high-potential, well-funded startup. 
Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support.<h2 class="jobSectionHeader">
Who We Are</h2>
We're a small, driven team building a platform that makes GenAI deployment feel like magic.
Our approach: curious, humble, but relentless. 
We're fun, kind, and exceptional&mdash;serious about making an impact but never taking ourselves too seriously. 
We operate with high urgency but think for the long term&mdash;action creates clarity.<h2 class="jobSectionHeader">
How to Apply</h2>
Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai. Include GitHub (or equivalent) code samples, a system design you&rsquo;re proud of, and any evaluation or benchmark work that demonstrates your technical rigor.
P.S. If you use GenAI to craft your application, we&rsquo;ll probably find out &mdash; and we&rsquo;d love to learn more about how you did it!
Compensation: 
This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual&rsquo;s experience, impact, and location.</div>

MTS - Senior Software Engineer

<div><h1 class="jobSectionHeader">MTS &ndash; Senior Software Engineer</h1>
This role is based in Colorado. Remote candidates may be considered if they currently reside in the United States and can collaborate within U.S. business hours.<h2 class="jobSectionHeader">
Role Overview</h2>
Kamiwaza is seeking a Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers.
In this role, you will design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. You will play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production.
This role is ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Architect and develop high-performance, reliable systems for GenAI model serving, data orchestration, and distributed computing</li><li>
Build and scale infrastructure for embeddings, retrieval systems, data catalogs, and evaluation workflows</li><li>
Design and maintain secure, scalable APIs with a strong emphasis on developer experience</li><li>
Enhance deployment pipelines, observability tooling, and operational best practices to ensure platform resilience</li><li>
Collaborate cross-functionally to evaluate emerging GenAI research, benchmarks, and techniques &mdash; bringing the most impactful innovations into production</li><li>
Contribute to platform-level decisions around cluster management, orchestration, and service reliability</li></ul><h2 class="jobSectionHeader">
Minimum Requirements</h2><ul><li>
3+ years of professional software engineering experience building and scaling complex platforms or distributed systems</li><li>
Strong proficiency in Python, including designing, developing, and debugging production-grade services</li><li>
Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements</li><li>
Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals</li><li>
Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions</li><li>
Excellent collaboration and communication skills with a strong sense of ownership and accountability</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
BS or MS in Computer Science, Software Engineering, or a related field</li><li>
Open source contributions related to GenAI, distributed systems, or data orchestration</li><li>
Experience with cloud networking (DNS, VPC configuration, infrastructure security)</li><li>
Strong quantitative background (math, physics, ML, or related fields)</li><li>
Experience using GenAI tools to augment development workflows</li><li>
Familiarity with enterprise software development lifecycles from architecture through post-deployment support</li></ul><h2 class="jobSectionHeader">
Why Join Us?</h2>
Purpose &amp; Impact: Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. 
Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. 
Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. 
High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. 
Competitive Compensation &amp; Equity: Own a piece of our high-potential, well-funded startup. 
Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support.<h2 class="jobSectionHeader">
Who We Are</h2>
We're a small, driven team building a platform that makes GenAI deployment feel like magic.
Our approach: curious, humble, but relentless. 
We're fun, kind, and exceptional&mdash;serious about making an impact but never taking ourselves too seriously. 
We operate with high urgency but think for the long term&mdash;action creates clarity.<h2 class="jobSectionHeader">
How to Apply</h2>
Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai. Include GitHub (or equivalent) code samples, a system design you&rsquo;re proud of, and any evaluation or benchmark work that demonstrates your technical rigor.
P.S. If you use GenAI to craft your application, we&rsquo;ll probably find out &mdash; and we&rsquo;d love to learn more about how you did it!
Compensation: 
This role offers a base salary between $100,000 and $200,000, plus equity and benefits. Actual compensation will reflect an individual&rsquo;s experience, impact, and location.</div>

MTS - Software Engineer

Teradata

<div>Our Company
At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What You&rsquo;ll Do
We are seeking a Senior Staff Software Engineer with deep cloud platform expertise to lead architecture and technical direction for next generation provisioning and orchestration systems powering Teradata compute across public cloud environments.
This role focuses on defining cross platform architecture, driving technical strategy, and guiding multiple engineering teams building large scale cloud infrastructure systems.
As a Senior Staff Engineer, you will influence platform architecture across teams, drive long term engineering direction, and partner with engineering leadership to shape the future of Teradata&rsquo;s cloud platform capabilities.
Responsibilities:
<ul><li>Define and lead architecture for core cloud platform capabilities supporting provisioning, lifecycle management, and runtime operations of distributed compute infrastructure</li>
<li>Drive cross platform architecture strategy across AWS, Azure, and Google Cloud environments</li>
<li>Provide technical leadership across multiple engineering teams building platform services and infrastructure systems</li>
<li>Define long term architecture roadmaps for cloud platform capabilities including provisioning systems, orchestration frameworks, and infrastructure automation</li>
<li>Establish architecture patterns, engineering standards, and best practices for scalable cloud platform systems</li>
<li>Lead design and review of large-scale distributed systems supporting multi cloud deployments</li>
<li>Partner with platform, networking, security, and cloud infrastructure teams to design reliable and secure cloud architectures</li>
<li>Drive improvements in scalability, reliability, operational efficiency, and developer productivity across the platform</li>
<li>Mentor senior and staff engineers and help raise the technical bar across the engineering organization</li>
<li>Collaborate with product and engineering leadership to align architecture decisions with long term platform strategy</li>
</ul>Who You&rsquo;ll Work With
This position is for a Senior Staff Software Engineer in the Platform Services team within the Vantage Core Platform Software organization.
The team builds core cloud platform services that power provisioning, lifecycle management, and runtime operations of Teradata compute infrastructure across public cloud environments.
Our platform enables Teradata deployments across AWS, Azure, and Google Cloud, and focuses on building highly reliable, scalable, and automated infrastructure services used by multiple engineering teams and enterprise customers.
Key areas of focus include:
<ul><li>Cloud native provisioning and lifecycle automation for distributed compute environments</li>
<li>Platform services for orchestration, scaling, and configuration management across public cloud platforms</li>
<li>Serverless and event driven automation frameworks for infrastructure workflows</li>
<li>Secure and reliable connectivity enablement for cloud deployed compute systems</li>
</ul>What Makes You a Qualified Candidate
(Non-negotiable qualifications)
<ul><li>Bachelor of Science degree in Computer Science or Computer Engineering with 12+ years of work experience</li>
<li>Advanced degree in Computer Science, Computer Engineering, or related discipline with 10+ years of work experience</li>
</ul><ul><li>Deep hands-on experience building and operating systems on at least one major public cloud platform such as AWS, Azure, or Google Cloud</li>
<li>Strong programming expertise in Python or similar languages used for infrastructure and platform engineering</li>
<li>Extensive experience designing large scale cloud native platforms or distributed infrastructure systems</li>
<li>Experience defining architecture used across multiple engineering teams or platform capabilities</li>
<li>Strong understanding of multi cloud architecture, cloud networking, IAM, service quotas, and multi region deployments</li>
<li>Experience designing infrastructure automation and provisioning systems using cloud APIs, SDKs, and Infrastructure as Code tools</li>
<li>Experience building event driven or serverless platform architectures</li>
<li>Strong experience designing highly scalable distributed systems</li>
<li>Proven ability to influence architecture decisions across teams and drive engineering alignment</li>
<li>Strong troubleshooting and problem-solving skills</li>
</ul>What You&rsquo;ll Bring
(Preferred qualifications)
<ul><li>Experience designing multi cloud platforms or cross cloud infrastructure services</li>
<li>Experience building internal developer platforms or shared infrastructure used across large organizations</li>
<li>Experience working with Kubernetes based platforms or container orchestration systems</li>
<li>Experience building large scale provisioning or orchestration systems</li>
</ul>#LI-PG1</div>

Sr Staff Cloud Engineer

<div><div>At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.</div><div> 
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.</div><div></div><div>
Job Title: Software Engineer III &ndash; AI Security &amp; Intelligent Systems</div><div>
Role Overview 
We&rsquo;re looking for a talented mid-level engineer to design, build, and enhance tooling and intelligent systems that support safe, resilient AI workflows. You&rsquo;ll contribute to platforms that empower teams to embed safe logic, enforce secure behavior, and maintain operational quality across distributed systems using advanced chunking, agent orchestration, and trustworthy code pipelines. You will work with engineers across product, security, and infrastructure to deliver solutions that raise the bar on reliability and safety in intelligent software delivery.</div><div>
What You&rsquo;ll Do</div><ul><li>Design and implement components for AI-enhanced tooling that monitors, evaluates, and improves software behavior with an emphasis on safety and resilience across distributed systems.</li><li>Build and maintain systems that leverage semantic chunking, language model agents, and automated reasoning to support developer workflows with contextual awareness and guidance.</li><li>Collaborate with cross-functional teams &mdash; product, security, SRE &mdash; to translate high-level needs into technical designs and robust implementations.</li><li>Contribute to safe AI practices by defining interfaces and logic that help prevent and detect unsafe code constructs or misconfigurations without relying on simple pattern matching.</li><li>Partner with DevOps and CI/CD engineers to integrate quality feedback loops, instrumentation, and runtime guards into build, deploy, and release pipelines.</li><li>Participate in design reviews, code reviews, and retrospectives that drive continuous improvement of our AI-infused systems.</li><li>Investigate issues in distributed environments, propose solutions, and deliver fixes that enhance maintainability, performance, and safety.</li><li>Help define best practices for code health, observability, and monitoring in intelligent pipelines.</li></ul><div>
Who You Are</div><ul><li>5&ndash;8 years of software engineering experience with a solid foundation in languages such as Python, Go, or TypeScript.</li><li>Strong understanding of distributed system design, asynchronous workflows, and microservices architectures.</li><li>Experience or strong interest in AI/ML concepts, especially in applying models to assist developer tooling or runtime analysis.</li><li>Familiarity with modern cloud environments (AWS, GCP, Azure) and container orchestration (e.g., Kubernetes).</li><li>Comfortable working with APIs, message buses, and streaming data (e.g., Kafka, Pub/Sub).</li><li>Practical knowledge of secure development practices, runtime policy enforcement, and defensible system design without being limited to &ldquo;scan and flag&rdquo; strategies.</li><li>Experience integrating or building systems that use semantic chunking or structural representations of code/data is a plus.</li><li>Excellent collaborator who communicates clearly and contributes to team success.</li></ul><div>
Nice to Have</div><ul><li>Hands-on experience with LLMs, agent frameworks, or developing smart assistants that operate in software contexts.</li><li>Background in building developer productivity tools or platform services.</li><li>Understanding of formal methods, symbolic analysis, or safety-constrained execution environments.</li><li>Experience with observability tooling (metrics, logs, traces) and runtime dashboards that support operator understanding.</li></ul><div></div><div>
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.</div><div></div><div>
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).</div><div></div><div>
Equal Employment Opportunity</div><div></div><div>
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting <div>accommodations@f5.com</div>.</div></div>

Software Engineer III

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