distributed systems engineer

Cloudflare

<div><div><div>About Us</div>
<div>
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a &quot;normalized&quot; problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.
</div></div>
Locations Available: Austin (US)

About Role

We are looking for experienced and highly motivated engineers to join our DATA Org and help build the future of data at Cloudflare. Our organisation is responsible for the entire data lifecycle - from ingestion and processing to storage and retrieval - powering the critical logs and analytics that provide our customers with real-time visibility into the health and performance of their online properties.

Our mission is to empower customers to leverage their data to drive better outcomes for their business. We build and maintain a suite of high-performance, scalable systems that handle more than a billion events in a second. As an engineer in our organisation, you will have the opportunity to work on complex distributed systems challenges across different parts of our data stack.

Our Data Organisation is strategically composed of several key teams, each focusing on a distinct aspect of our comprehensive data platform:
<ul>
<li>Data Delivery / Data Pipeline: This team is responsible for the design, development, and operation of our distributed data delivery pipeline. This system is a high-throughput, low-latency powerhouse, primarily written in Go, and is tasked with ingesting, processing, and intelligently routing massive volumes of data originating from across Cloudflare's vast global network to multiple core destinations. This involves handling diverse data types and ensuring reliable, timely delivery to various downstream systems.</li></ul> 

<ul>
<li>Analytical Database Platform: Engineers on this team contribute to and evolve our core analytical platform, which is powered by ClickHouse. This team is dedicated to building and maintaining a high-performance, scalable database platform meticulously optimised for the immense analytical workloads generated by all of Cloudflare's products and services. This includes ensuring data integrity, query optimisation, and continuous platform scalability to meet ever-growing demands.</li></ul> 

<ul>
<li>Data Retrieval (Customer-Facing Products): This department is focused on building and continuously improving our customer-facing products, making data not only accessible but also genuinely actionable for our users. This department comprises two main groups:</li>
<li><ul><li>Analytics and Alerts: Members of this group are at the forefront of developing our public APIs such as the GraphQL Analytics API, providing customers and internal Cloudflare teams with flexible access to their data. They will also work on our alerting platform, empowering users to configure and receive near real-time alerts based on the critical logs and metrics observed by our robust data platform. This includes designing intuitive alerting mechanisms and ensuring the reliability of notification systems.</li>
<li>Logs and Audit Logs: This specialised team is dedicated to building a robust and easy-to-use logging platform that powers reliable data delivery and seamless integrations with customer destinations. The team's mission is to make it simple for customers to access, manage, and use their log data &mdash; ensuring that critical datasets, including comprehensive audit logs, are delivered securely and efficiently to their preferred storage and analysis platforms. The work spans developing intuitive connectors, ensuring data integrity, optimising delivery pipelines, and upholding strict standards for compliance, performance, and usability.</li>
</ul></li></ul><h3 class="jobSectionHeader">Responsibilities</h3>

This role is focusing on the Analytics and Alerts group. As a Software Engineer you will focus on the following areas:
<ul>
<li>Develop and enhance our customer-facing APIs focusing on performance, reliability, and an intuitive user experience.</li>
<li>Design, build, and maintain our near real-time alerting platform, from data processing and anomaly detection to reliable notification delivery.</li>
<li>Optimise the performance of complex analytical queries that power our APIs and dashboards, working closely with the database platform team.</li>
<li>Create intuitive and powerful tools that allow customers to explore their data and configure meaningful alerts based on logs and metrics.</li>
<li>Scale our API and alerting infrastructure to support a growing number of internal and external use cases.</li>
<li>Collaborate with front-end engineers and product managers to define API contracts and deliver a seamless data experience for our users.</li>
<li>Ensure the operational health of our APIs and alerting systems by developing comprehensive monitoring, and participating in an on-call rotation (with the flexibility to be on-call outside of standard working hours as needed).</li>
</ul><h3 class="jobSectionHeader">Key Qualifications</h3>
<ul><li>3+ years of experience working in software development covering distributed systems and scalable APIs.</li>
<li>Strong programming skills (Go is preferable), with a deep understanding of software development best practices for building performant, customer-facing services.</li>
<li>Hands-on experience with modern observability stacks, including Prometheus, Grafana, and a strong understanding of handling high-cardinality metrics at scale.</li>
<li>Strong knowledge of SQL, including extensive experience with complex query optimisation.</li>
<li>A solid foundation in computer science, including algorithms, data structures, distributed systems, and concurrency.</li>
<li>Strong analytical and problem-solving skills, with a willingness to debug, troubleshoot, and learn about complex problems at high scale.</li>
<li>Ability to work collaboratively in a team environment and communicate effectively with other teams across Cloudflare.</li>
<li>Experience developing and scaling APIs, particularly GraphQL, is a strong plus.</li>
<li>Experience with data streaming technologies (e.g., Kafka, Flink) for real-time processing is a plus.</li>
<li>Experience with Infrastructure as Code tools like SALT or Terraform is a plus.</li>
<li>Experience with Linux container technologies, such as Docker and Kubernetes, is a plus.</li>
</ul>
If you're passionate about building scalable and performant data platforms using cutting-edge technologies and want to work with a world-class team of engineers, then we want to hear from you! Join us in our mission to help build a better internet for everyone!<div>
What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers-at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.</div></div>

Distributed Systems Engineer - Data Platform - Analytics and Alerts

Snowflake

<div>
 At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
 
 
 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

Quantcast

<div><div>At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize&mdash;it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?</div><div></div><div> 
We are seeking a Software Engineer to join our Big Data Services team. This role focuses on building, maintaining, and optimizing large-scale data processing systems while supporting the needs of our data science and engineering teams. 
 
You will work closely with engineers, data scientists, and researchers to ensure a reliable, scalable, and efficient data infrastructure that powers advanced analytics and modeling workflows. The primary focus of the team is driving and developing systems and services that enable Quantcast to scale its distributed storage and compute platform. The ideal candidate has a passion for large-scale distributed systems (e.g., HDFS and Spark).</div>
<h3 class="jobSectionHeader">What you'll do:</h3><ul>
<li>Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks</li>
<li>Debug and resolve issues in distributed environments, including data inconsistencies and job failures</li>
<li>Maintain and enhance the services that support the distributed storage and compute platform</li>
<li>Assist in deploying and maintaining production systems, including CI/CD workflows</li>
<li>Work to make our platform more elastic and fault-tolerant</li>
<li>Provide technical input into roadmaps for the team</li>
<li>Write clean, maintainable, and well-tested code</li>
</ul><h3 class="jobSectionHeader">Who you are:</h3><ul>
<li>BS in computer science or equivalent experience</li>
<li>1-3 years of professional software engineering experience (internships included)</li>
<li>You must be work-authorized in the United States without the need for employer sponsorship.</li>
<li>This is a hybrid role based in our San Francisco. To ensure a manageable commute for in-office days, candidates must reside within a 60-mile radius of San Francisco, CA. No relocation candidates at this time.</li>
<li>Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar.</li>
<li>Familiarity with containerization tools (e.g., Docker and Kubernetes)</li>
<li>Experience with workflow orchestration tools (e.g., Airflow) is a plus</li>
<li>Proficient in Java and/or Python programming languages</li>
<li>Linux system administration/automation experience</li>
<li>Strong problem-solving and debugging skills</li>
<li>Organized, detail-oriented personality</li>
</ul><h3 class="jobSectionHeader">What you'll learn in this role:</h3><div>
<ul><li>Hands-on experience with large-scale distributed systems in production.</li>
<li>Exposure to real-world data science and modeling workflows.</li>
<li>Best practices in building scalable and reliable data infrastructure.</li>
<li>Collaboration across engineering and modeling teams.</li>
</ul></div><div>The salary range for this position is $144,900 - $168,400 USD</div>
<div></div>
<div>#LI-AC1</div><div></div><div> 
At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.</div></div><div></div>

Software Engineer (Big Data)

ConsultNet Technology Services and Solutions

<div>
 
 
 
 
 
 Title
 
 : Big Data Engineer
 
 
 
 
 Location
 
 
 :
 
 
 
 Rockville, MD or McLean. VA
 
 
 
 
 Target Start Date
 
 
 :
 
 
 
 ASAP
 
 
 
 
 Type
 
 : contract
 
 
 
 
 
 
 Pay
 
 Rate
 
 
 
 :
 
 
 
 DOE
 
 
 
 
 
 
 We are seeking an experienced Big Data Engineer to design, build, and optimize large-scale data processing systems. This role partners closely with engineering, data, and business teams to deliver scalable, high-performance data solutions across modern cloud environments.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 
 Design, develop, and maintain scalable data pipelines using technologies such as Spark, Hadoop, Python, and Scala
 
 
 </li>
 <li>
 
 
 Architect and deploy big data workloads using Amazon EMR on EKS (Kubernetes)
 
 
 </li>
 <li>
 
 
 Build and manage Kubernetes-based infrastructure for distributed data processing
 
 
 </li>
 <li>
 
 
 Implement data ingestion, transformation, and storage solutions for large-scale datasets
 
 
 </li>
 <li>
 
 
 Optimize pipelines for performance, scalability, and reliability
 
 
 </li>
 <li>
 
 
 Monitor, troubleshoot, and resolve production data issues
 
 
 </li>
 <li>
 
 
 Develop and execute automated testing frameworks (unit, integration, E2E)
 
 
 </li>
 <li>
 
 
 Collaborate with data scientists, analysts, and cross-functional teams to support data-driven initiatives
 
 
 </li>
 <li>
 
 
 Continuously evaluate and adopt emerging technologies and best practices
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Big Data &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 
 
 Strong experience with Spark, Hadoop, Hive, Trino
 
 
 </li>
 <li>
 
 
 Expertise handling large-scale (petabyte-level) datasets
 
 
 </li>
 <li>
 
 
 Deep understanding of performance challenges (e.g., data skew, resource constraints)
 
 
 </li>
 </ul>
 
 
 
 Kubernetes &amp; Containerization
 
 
 
 <ul>
 <li>
 
 
 Hands-on experience with Kubernetes (EKS) including pods, services, deployments
 
 
 </li>
 <li>
 
 
 Experience running Spark on Kubernetes (EMR on EKS)
 
 
 </li>
 <li>
 
 
 Knowledge of Helm, YAML manifests, autoscaling, and cluster troubleshooting
 
 
 </li>
 </ul>
 
 
 
 Cloud (AWS)
 
 
 
 <ul>
 <li>
 
 
 Experience with S3, EMR, Glue, Lambda, Athena
 
 
 </li>
 <li>
 
 
 Strong understanding of EKS architecture, IAM roles (IRSA), networking, and monitoring (CloudWatch/CloudTrail)
 
 
 </li>
 <li>
 
 
 Familiarity with serverless architectures (Lambda, Fargate)
 
 
 </li>
 </ul>
 
 
 
 Programming
 
 
 
 <ul>
 <li>
 
 
 Proficiency in Python or Scala
 
 
 </li>
 <li>
 
 
 Strong understanding of data structures, concurrency, and performance optimization
 
 
 </li>
 </ul>
 
 
 
 SQL
 
 
 
 <ul>
 <li>
 
 
 Advanced SQL skills including window functions, joins, aggregations, and query optimization
 
 
 </li>
 </ul>
 
 
 AI &amp; Modern Development Practices
 
 
 <ul>
 <li>
 
 
 Experience with AI-assisted development tools (e.g., ChatGPT, GitHub Copilot)
 
 
 </li>
 <li>
 
 
 Prompt engineering and AI-driven workflow optimization
 
 
 </li>
 <li>
 
 
 Ability to incorporate AI insights into engineering practices and team productivity
 
 
 </li>
 </ul>
 
 
 Preferred / Nice-to-Have
 
 
 <ul>
 <li>
 
 
 CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
 
 
 </li>
 <li>
 
 
 Infrastructure as Code (Terraform, CloudFormation)
 
 
 </li>
 <li>
 
 
 Docker and container optimization
 
 
 </li>
 <li>
 
 
 Observability tools (Prometheus, Grafana, ELK)
 
 
 </li>
 <li>
 
 
 Service mesh technologies (Istio, Linkerd)
 
 
 </li>
 <li>
 
 
 AWS or Kubernetes certifications
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 
 Bachelor's degree in Computer Science or related field (Master's preferred)
 
 
 </li>
 <li>
 
 
 5+ years of experience in big data engineering or related roles
 
 
 </li>
 <li>
 
 
 Strong background in distributed systems, cloud platforms, and data architecture
 
 
 </li>
 <li>
 
 
 Excellent communication and collaboration skills
 
 
 </li>
 <li>
 
 
 Ability to operate effectively in a fast-paced environment
 
 
 </li>
 </ul>
 
 
 What Success Looks Like
 
 
 <ul>
 <li>
 
 
 Reliable, scalable data pipelines powering business insights
 
 
 </li>
 <li>
 
 
 Strong partnership across engineering and business teams
 
 
 </li>
 <li>
 
 
 Continuous improvement of data platforms and development workflows
 
 
 </li>
 <li>
 
 
 Effective use of automation and AI to enhance productivity and outcomes
 
 
 </li>
 </ul>
 
 
 
 
 
 Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid.
 
 
 For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact.
 
 
 Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at
 
 
 
 
 
 www.consultnet.com
 
 
 
 
 
 .
 
 
 
 
 
 
 
 We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
 
 
 
</div>

Big Data Engineer

Uber

<div>About the Role
 
 
Uber is looking for a strong backend and AI Software Engineer II to join the Data Security &amp; Governance engineering team within the Privacy, Security &amp; Risk org. This team builds distributed backend and AI-powered systems that operate at Uber scale, enabling engineering teams to safely adopt and innovate with ML and GenAI technologies. In this role, you will work on foundational platforms that protect Uber's data and AI ecosystem. You'll collaborate with senior engineers to design and build reliable, scalable systems, while gaining hands-on experience with production-grade distributed systems and AI-powered detection platforms. 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do - 
<ul><li>
As a Software Engineer II at Uber, you'll be working on code that's closest to the business.</li><li>
You will build user-facing products, handle and store thousands of transactions per second, and develop intelligent Privacy (Data Deletion) and Security(Access Control) strategies that scale.</li><li>
You will work on design, development and maintenance of services, frameworks, and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.</li><li>
You are passionate and pragmatic technologists who are able to design scalable systems while delivering efficient code.</li><li>
The privacy landscape is constantly evolving, and with the adoption of ML/AI backed by extensive heterogeneous data, security &amp; privacy threats are inevitably broadened.</li><li>
With your deep and comprehensive expertise across major technology stacks, you will design, implement and scale industry-leading privacy solutions for the entire company.</li></ul> 
- Basic Qualifications - 
<ul><li>
4 years of professional industry experience and BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.</li><li>
Proficiency in at least one of Go, Java, Python, or C++.</li><li>
Solid understanding of algorithms, data structures, and software engineering fundamentals.</li><li>
At least five years of software engineering experience</li><li>
Experience building or contributing to production backend or AI systems.</li><li>
Experience with GenAI, Model Context Protocol</li></ul> 
- Preferred Qualifications - 
<ul><li>
Experience developing backend or distributed systems such as microservices, APIs, or data-processing services.</li><li>
Familiarity with distributed systems concepts, including reliability, scalability, and performance trade-offs.</li><li>
Exposure to ML or AI systems, including model inference, data pipelines, or ML-enabled features.</li><li>
Interest or experience applying ML/AI techniques to security, privacy, or risk-related problems (e.g., data classification, PII detection, policy enforcement).</li><li>
Experience with system monitoring, observability, and production operations.</li></ul> 
For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. 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>

Software Engineer II - Back-end & ML/AI Infra

Pluralis Research

<div>
 
 Overview
 
 
 
 Pluralis Research is pioneering Protocol Learning&mdash;a fully decentralised way to train and deploy AI models that opens this layer to individuals rather than well resourced corporates. By pooling compute from many participants, incentivising their efforts, and preventing any single party from controlling a model&rsquo;s full weights, we&rsquo;re creating a genuinely open, collaborative path to frontier-scale AI.
 
 
 We&rsquo;re looking for an
 
 ML Training Platform Engineer
 
 to architect, build, and scale the foundational infrastructure powering our decentralized ML training platform. You will own core systems spanning infrastructure orchestration, distributed compute, and services integration, enabling continuous experimentation and large-scale model training.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Multi-Cloud Infrastructure: Design resource management systems provisioning and orchestrating compute across AWS, GCP, and Azure using infrastructure-as-code (Pulumi/Terraform). Handle dynamic scaling, state synchronization, and concurrent operations across hundreds of heterogeneous nodes.
 </li>
 <li>
 Distributed Training Systems: Architect fault-tolerant infrastructure for distributed ML. GPU clusters, NVIDIA runtime, S3 checkpointing, Large dataset management and streaming, health monitoring, and resilient retry strategies.
 </li>
 <li>
 Real-World Networking: Build systems that simulate and handle real-world network conditions &mdash; bandwidth shaping, latency injection, packet loss &mdash; while managing dynamic node churn and ensuring efficient data flow across workers with heterogeneous connectivity, because our training happens on consumer nodes and non co-located infrastructure, not in a datacenter.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 Ideally, you&rsquo;ll have 5+ years of work experience with deep experience in:
 
 
 <ul>
 <li>
 Infrastructure &amp; Platform Engineering: Production experience with infrastructure-as-code (Pulumi/Terraform/CloudFormation) managing multi-cloud deployments, lifecycle orchestration, self-healing systems, Docker/Kubernetes (EKS), GPU workloads, and heterogeneous clusters at scale.
 </li>
 <li>
 Distributed Systems &amp; ML Infrastructure: Deep understanding of distributed training workflows, checkpointing, data sharding, model versioning, long-running job orchestration, decentralized networking (P2P, NAT traversal, traffic shaping), and real-world bandwidth constraints.
 </li>
 <li>
 Systems Programming &amp; Reliability: Strong Python engineering (asyncio, concurrency, retry logic, cloud SDKs, CLI tooling) with hands-on experience in observability, SRE practices, monitoring (Prometheus/Grafana), performance profiling, and incident response.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Experience in a startup environment with an emphasis on micro-services orchestration or big tech background
 </li>
 <li>
 Deep understanding of multi-cloud infra &amp; distributed training systems
 </li>
 <li>
 A team player with high attention to detail
 </li>
 <li>
 A strong passion to join
 
 
 </li>
 </ul>
 
 Backed by
 
 
 Union Square Ventures
 
 
 and other tier-1 investors, we&rsquo;re a world-class, deeply technical team of ML researchers. Pluralis is unapologetically ideological. We view the world as a better place if we are able to implement what we are attempting, and Protocol Learning as the only plausible approach to preventing a handful of massive corporations monopolising model development, access and release, and achieving massive economic capture. If this resonates, please apply.
 
 
 
</div>

Machine Learning Engineer - ML Training Platform

Seated

<div>This role is on-site, 5 days a week, working from our Flatiron office in NYC.
About Seated
Seated is the first dynamic pricing platform for restaurants. We help fill their empty seats while providing consumers incredible rewards to top brands and unique experiences. We are quickly expanding our offerings to cities across the country and are looking for talented and ambitious people to embark on the journey with us!
Role Overview 
We're fast-paced, innovative, and metric-driven, with a team passionate about delighting our customers. We're looking for a mid-level Software Development Engineer with a strong foundation in backend systems and distributed architectures. You'll help build and scale the systems that power Seated's growing platform.
You'll translate business needs into live features and partner directly with business owners who recognize the value of technology. You'll have a strong voice in product design and ownership across coding, QA, and production support.
Responsibilities<ul><li>
Design, build, and maintain scalable backend systems that power our core platform services</li><li>
Partner with business stakeholders to translate requirements into well‑implemented, deterministic workflows and services</li><li>
Build reliable, fault‑tolerant distributed systems with strong coding, testing, observability, performance, and reliability practices
</li><li>Contribute to technical design for high‑performance, service‑oriented architectures</li><li>
Scale backend services and microservices for high throughput and low latencey</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s in Computer Science or Engineering; 3+ years of experience shipping production payment/fintech systems</li><li>
Strong understanding of backend architecture and distributed systems design</li><li>
Ability to quickly learn new payment technologies and apply them to real‑world solutions and product design</li><li>
Proficiency in Java and the Spring Boot framework; or equivalent expertise in a similar object‑oriented language.</li><li>
Experience building high‑availability systems, including low‑latency APIs and distributed RESTful/gRPC services; practiced in backward compatibility, deterministic behavior, and idempotency</li></ul>
Preferred Experience<ul><li>
Solid knowledge of distributed databases and scalable, fault‑tolerant caching</li><li>
Experience with AI agents and prompt engineering; able to build web features using agentic workflows and modern frontend frameworks</li><li>
Cloud experience (AWS or GCP), containerization (Docker); familiarity with AWS services such as ECS, RDS, and Kinesis, plus observability tools like Datadog</li><li>
Preferred: Experience with workflow orchestration engines (Temporal, Cadence, or AWS Step Functions)</li></ul> 

Benefits 
<ul><li>
$160K - $180K + stock options</li><li>
401k with company match</li><li>
Medical, dental, and vision coverage</li><li>
FSA, dependent care, and commuter benefits</li><li>
Paid parental leave and unlimited PTO</li><li>
TeleDoc, One Medical, Talkspace, and WellHub access</li><li>
Citi Bike membership</li><li>
$100 monthly Seated dining credit</li></ul></div>

Software Development Engineer II

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