distributed systems engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Advertising Technology team builds the technology infrastructure to manage billions of advertising queries every day. The result is better quality advertising for publishers and more relevant ads for customers. In this organization you'll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading companies.<br>
<br>
Amazon Publisher Services (APS) helps publishers of all sizes and on all channels better monetize their content through effective advertising. APS unites publishers with advertisers across devices and media channels. We work with Amazon teams across the globe to solve complex problems for our customers. The end results are Amazon products that let publishers focus on what they do best - publishing.<br>
<br>
APS is revolutionizing live sports advertising with high-performance ad technology and real-time optimization across the world's biggest sporting events. We're building the next generation of infrastructure for live sports&mdash;tackling millisecond-critical decisioning at Amazon scale while delivering effective monetization for publishers and relevant ads for viewers.<br>
<br>
As a Software Development Engineer, you will design and build the systems that power real-time ad decisioning for live sports at massive scale. You will work on low-latency, high-throughput services that handle millions of concurrent viewers during the world's biggest sporting events. Your work will directly impact how ads are selected, served, and optimized in real time, delivering relevant experiences to viewers while maximizing publisher revenue.<br>
<br>
This role involves building distributed systems that operate under strict latency constraints, developing server-side ad insertion infrastructure, implementing programmatic auction mechanics, and creating real-time bidding pipelines that process billions of requests. You will collaborate with product managers, data scientists, and fellow engineers to solve complex technical challenges at the intersection of advertising technology and live streaming.<br>
<br>
A successful candidate is passionate about building high-performance systems, thrives on solving hard distributed systems problems, and takes ownership of their work from design through production. You write clean, maintainable code, think critically about system reliability and scalability, and enjoy working in a fast-paced environment where your contributions have direct customer impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and maintain low-latency, high-availability services for real-time ad decisioning during live sports events</li><li>Implement and improve programmatic auction and real-time bidding systems operating under strict SLA requirements</li><li>Write high-quality, well-tested code and participate in code reviews to maintain engineering excellence</li><li>Contribute to system design discussions, technical documentation, and architectural decisions</li><li>Monitor, troubleshoot, and resolve production issues, participating in on-call rotations</li><li>Collaborate with cross-functional teams including product management, data engineering, and demand-side platform teams</li><li>Identify opportunities to improve system performance, reliability, and operational efficiency</li></ul><br>
About the team<br>
Amazon Publisher Services (APS) helps publishers of all sizes and on all channels better monetize their content through effective advertising. APS unites publishers with advertisers across devices and media channels. We work with Amazon teams across the globe to solve complex problems for our customers. Our work spans product development, technology innovation, and cross-functional collaboration as we shape the future of advertising at Amazon.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ 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><li>Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems</li><li>Experience in managing or implementing system health, performance monitoring, capacity planning, or process improvement and automation</li><li>Experience with CI/CD pipelines build processes</li></ul>
- - Experience with streaming media, video infrastructure, or ad technology<br>
- - Understanding of programmatic advertising concepts (RTB, auction mechanics, SSAI)<br>
<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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Amazon Publisher Services

Relativity

<div>
 <em>
  <strong>
   Posting Type
   <br/>
   <br/>
  </strong>
 </em>
 Hybrid/Remote
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 WHO WE ARE
 <br/>
 <br/>
 Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
 <br/>
 <br/>
 The world&rsquo;s largest law firms, corporations, and government agencies rely on Relativity&rsquo;s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we&rsquo;re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 At Relativity, engineers don&rsquo;t just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
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 <br/>
 aiR Services Team
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 The aiR Services team builds the shared backend platform that powers Relativity&rsquo;s generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
 <br/>
 <br/>
 If you&rsquo;re excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.
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 <strong>
  Job Description And Requirements
  <br/>
  <br/>
 </strong>
 ABOUT THE ROLE
 <br/>
 <br/>
 As a Software Engineer, you will build and operate backend services that power Relativity&rsquo;s generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.
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 <br/>
 This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.
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 <strong>
  What You&rsquo;ll Do
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 <ul>
  <li>
   Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  </li>
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   Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  </li>
  <li>
   Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  </li>
  <li>
   Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  </li>
  <li>
   Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  </li>
  <li>
   Participate in pair programming to improve software quality and share design and implementation knowledge
  </li>
  <li>
   Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required
  <br/>
  <br/>
 </strong>
 WHAT WE&rsquo;RE LOOKING FOR
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 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science or a related field, or equivalent practical experience
  </li>
  <li>
   Experience building backend services using languages such as C#, Python, or similar
  </li>
  <li>
   Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  </li>
  <li>
   Strong foundational knowledge of distributed systems, scalability, and backend service design
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understanding of DevOps principles and experience with tools such as GitHub Actions
  </li>
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   Experience working with large language model (LLM) APIs or generative AI systems
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  <li>
   Experience designing and building scalable systems in Azure or other cloud platforms
  </li>
  <li>
   Experience with Kubernetes, serverless technologies, and cloud-native architectures
  </li>
  <li>
   Familiarity with domain-driven design and event-driven architecture
  </li>
  <li>
   Experience with AI-driven development practices or AI-assisted coding tools
  </li>
  <li>
   Awareness of emerging technology trends and their practical application in engineering
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   <br/>
  </li>
 </ul>
 WHY WE COULD BE A GREAT FIT
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 Impactful AI Platform
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 <ul>
  <li>
   Build foundational systems that power Relativity&rsquo;s generative AI capabilities and enable products across the aiR Suite.
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   <br/>
  </li>
 </ul>
 Distributed Systems at Scale
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 <ul>
  <li>
   Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.
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   <br/>
  </li>
 </ul>
 Cutting-Edge Technology
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 <ul>
  <li>
   Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.
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   <br/>
  </li>
 </ul>
 Growth Opportunity
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 <ul>
  <li>
   Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.
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  </li>
 </ul>
 Collaborative Culture
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  <li>
   Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.
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  </li>
 </ul>
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  Compensation And Benefits
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  <li>
   Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Relativity is committed to competitive, fair, and equitable compensation practices.
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 </strong>
 This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
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 The expected salary range for this role is between following values:
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 $79,000 and $119,000
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 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
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  Required Skills
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 Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting
</div>


Software Engineer

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience in software development for core system-level software such as databases, operating systems, or kernels.</li>
<li>5 years of programming experience in C, C++ or Java.</li>
<li>3 years of experience building and developing large-scale infrastructure or distributed systems.</li>
<li>3 years of experience with distributed computing.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>Experience with database internals (e.g., PostgreSQL, GraphQL, OLTP databases), transactional systems, compilers, or data storage.</li>
<li>Experience with AI Algorithms.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
As a Software Engineer focusing on semantic search for AlloyDB, you'll have the opportunity to contribute to AI/GenAI features within an innovative, Google open-source PostgreSQL-based database product. You'll play a key role in building new database features that integrate advanced semantic search capabilities.</p><div></div><div><br>
You'll be instrumental in designing, developing, and implementing semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.</div><div></div><div><br>
You'll be involved in bringing novel innovations to the core database engine, including areas like query processing, indexing, and vector embedding. Your work will directly impact our enterprise customers, empowering them to leverage the power of semantic search within their AlloyDB applications.</div><p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</p>
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
<br>
<br>
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits<br>
<br>
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, and implement semantic search capabilities within AlloyDB, focusing on delivering robust, scalable, and high-performance features.</li>
<li>Collaborate with engineers across various teams to understand requirements and build effective semantic search solutions.</li>
<li>Take ownership of specific components and contribute to the team's technical discussions, continuously learning and applying best practices.</li>
<li>Build new database features that integrate advanced semantic search capabilities.</li>
<li>Contribute to key technical projects and work within a fast-moving, innovative environment.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AlloyDB Semantic Search

Smart Working Solutions

<div><div><p><b>About Smart Working</b><br>
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn&rsquo;t just another remote opportunity - it&rsquo;s about finding where you truly belong, no matter where you are. From day one, you&rsquo;re welcomed into a genuine community that values your growth and well-being.<br>
<br>
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you&rsquo;re empowered to grow personally and professionally.<br>
<br>
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.</p>
<p><b>
About the Role</b><br>
We are hiring a highly experienced Anti-Bot Engineer to design, build, and operate large-scale, resilient web scraping systems that extract high-quality data from heavily protected and constantly evolving web environments.</p>
<p>
This is a senior-level, hands-on engineering role focused on building production-grade systems that operate at scale under adversarial conditions (anti-bot systems, dynamic rendering, frequent structural changes, and high-volume data extraction).<br>
You will be responsible for architecting and maintaining scraping infrastructure that must remain reliable, observable, and adaptable in real time. The role requires deep technical maturity, strong systems thinking, and the ability to operate independently in complex, ambiguous environments.</p>
<p>
This position is best suited to engineers who have already built and operated large-scale distributed systems in production for several years and are comfortable owning mission-critical data pipelines end-to-end.</p>
</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Design, build, and maintain large-scale Python-based scraping systems targeting highly protected websites (including Google-like environments).</li>
<li>Architect resilient extraction systems capable of handling dynamic, JavaScript-heavy pages using browser automation and hybrid approaches.</li>
<li>Continuously adapt systems to frequent changes in page structures, request flows, and anti-bot mechanisms.</li>
<li>Build robust, production-grade data extraction pipelines with strong emphasis on accuracy, observability, and fault tolerance.</li>
<li>Implement advanced strategies such as proxy rotation, fingerprinting, session management, and request routing to ensure stability at scale.</li>
<li>Monitor system health, proactively detect anomalies, and debug complex production failures across distributed systems.</li>
<li>Optimise scraping infrastructure for performance, cost efficiency, and reliability at scale.</li>
<li>Collaborate with data engineering and product teams to ensure scraped data is structured, validated, and trusted.</li>
<li>Operate and improve systems running continuously in cloud environments.</li>
<li>Document system architecture, scraping logic, and operational procedures for long-term maintainability.</li>
<li>Contribute to improving resilience, automation, and adaptability in adversarial environments.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>7+ years of professional software engineering experience, with a strong focus on backend systems, data engineering, or distributed systems.</li>
<li>Proven experience building and operating large-scale production web scraping systems.</li>
<li>Deep hands-on experience scraping Google or similarly complex, heavily protected / anti-bot environments.</li>
<li>Strong expertise in Python (or comparable production languages such as Go, Rust, or JavaScript).</li>
<li>Strong understanding of HTTP internals: headers, cookies, TLS, redirects, sessions, and browser networking behaviour.</li>
<li>Experience with browser automation frameworks such as Playwright, Selenium, Puppeteer, or equivalent.</li>
<li>Strong knowledge of HTML parsing, DOM traversal, and high-performance data extraction techniques.</li>
<li>Proven experience handling anti-bot systems, including rate limiting, CAPTCHAs, IP rotation, and fingerprinting.</li>
<li>Experience designing asynchronous and concurrent systems for high-throughput workloads.</li>
<li>Strong debugging skills across distributed, failure-prone production systems.</li>
<li>Experience running cloud-based systems at scale with strong operational ownership.</li>
<li>Comfortable working in highly adversarial and fast-changing technical environments.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3><ul>
<li>Experience with Docker and Kubernetes in production environments.</li>
<li>Exposure to distributed task queues or large-scale job orchestration systems.</li>
<li>Experience with monitoring, anomaly detection, or data quality validation systems.</li>
<li>Background in search intelligence, advertising tech, or competitive intelligence platforms.</li>
<li>Experience building systems that operate against high-defence web environments at scale.</li>
<li>Familiarity with observability tooling and production-grade system monitoring.</li>
<li>Exposure to AI-assisted development workflows or agentic coding tools.</li>
</ul><h3 class="jobSectionHeader"><b>Benefits</b></h3><ul>
<li>Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) \u007C 1:00 PM - 10:30 PM IST (Winter)</li>
<li>No Weekend Work: Real work-life balance, not just words</li>
<li>Day 1 Benefits: Laptop and full medical insurance provided</li>
<li>Support That Matters: Mentorship, community, and forums where ideas are shared</li>
<li>True Belonging: A long-term career where your contributions are valued</li>
</ul><div>
<p>At Smart Working, you&rsquo;ll never be just another remote hire.</p>
<p>
Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.</p>
<p>
If that sounds like your kind of place, we&rsquo;d love to hear your story.</p>
</div>
<p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Anti-Bot Engineer (Remote, Full-Time), PK [HR177]

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7883 distributed systems engineer jobs Near Me

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Anti-Bot Engineer (Remote, Full-Time), PK [HR177]