distributed systems engineer

Apple

<div>The Applied Machine Learning team in AI and Data Platform org has been at the forefront of accelerating digital transformation through machine learning across Apple's enterprise ecosystem. We build and operate ML, GenAI, Inference and Data Platforms and Services to provide a comprehensive suite of capabilities-serving business-critical needs across Apple&rsquo;s enterprise. We work on interesting and hard challenges related to scale and performance across diverse set of open source and cutting edge technologies. As part of the Site Reliability Engineering (SRE) team, you will design, develop, and maintain core platform components that support the fraud decisioning and solutioning infrastructure. The role involves developing automation and tooling to improve operational efficiency, and you will collaborate closely with engineering teams to ensure high availability, resiliency, and security of critical systems while monitoring and optimizing production platforms for performance and reliability. We are looking for a talented engineer to join our team and bring passion for building and operating large scale platform and distributed systems leveraging cutting edge open source technologies across hybrid cloud environments! 
 
Description 
We are looking for engineers who have strong coding skills and computer science foundation with passion for building resilient and highly performant distributed systems. As a software engineer in AiDP reliability engineering you will work on one or many projects related to GenAI, ML Inference in highly scalable and distributed system. You will:
 
 
<ul><li>Build, enhance, and maintain multi-tenant systems employing diverse technologies.</li></ul> 
<ul><li>Collaborate with multi-functional teams to deliver impactful customer features.</li></ul> 
<ul><li>Lead projects through full lifecycle, from design discussions to release delivery.</li></ul> 
<ul><li>Operate, scale, and optimize high-throughput and highly concurrent services.</li></ul> 
<ul><li>Diagnose, resolve, and prevent production and operational challenges.</li></ul> 
We are looking for enthusiastic engineers passionate about building and maintaining solutioning platform components on cloud and Kubernetes infrastructure. The ideal candidate will go beyond traditional SRE responsibilities by collaborating with stakeholders, understanding the applications hosted on the platform, and designing automation solutions that enhance platform efficiency, reliability, and value.&quot;,&quot;responsibilities&quot;:&quot;The successful candidate will be amenable to working in an exciting, fast paced, dynamic, collaborative environment. The person filling this position must be a hands-on, hardworking, self-motivated developer with strong initiative. You will have a real passion for extraordinary user experiences and an eye for details. 
 
Preferred Qualifications 
Excellent analytical &amp; problem solving skills. 
 
Exposure to Machine Learning and GenAI technologies. 
 
Exposure to datasets management and cost optimisation in cloud. 
 
Exposure to Ray and Ray Serve, for building scalable, distributed, and model-serving platform components. 
 
Minimum Qualifications 
Bachelor&rsquo;s Degree in Computer Science, Computer Engineering or equivalent technical degree 
 
Proficient programming knowledge in Python or Java and ability to read and explain open source codebase. 
 
Good foundation of Operating Systems, Networking and Security Principles 
 
Exposure to DevOps tools such as Ansible and Terraform, with experience integrating platform components into Kubernetes and AWS Cloud environments. 
&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Software Engineer - AiDP Reliability Engineering

VGreenTek

<div>Lead Data Engineer (Hybrid) 
Location - Domlur, Bangalore(4 days from office &amp; 1 day WFH) 
Job Type - Permanent 
Budget - 25 LPA - 27LPA 
Experience - 7+ Years 
 
Skillset Required 
 
 
<ul><li>7+ years of experience in software development, with a strong foundation in distributed</li></ul>
systems, cloud-native architectures, and data platforms. 
<ul><li>Expertise in big data technologies such as Apache Spark and real-time streaming technologies</li></ul>
like Apache Kafka. 
<ul><li>Strong programming skills in Python, Java, C++, SQL etc.</li><li>Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data</li></ul>
services. 
<ul><li>Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.</li><li>Strong understanding of advanced data modeling techniques and modern data warehouses.</li><li>Ability to design scalable, fault-tolerant, and maintainable distributed systems.</li><li>Excellent communication and stakeholder management skills.</li></ul></div>

Lead Data Engineer (Hybrid)

<div>
 
 About xAI
 
 
 
 xAI&rsquo;s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
 
 
 Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
 
 
 We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company&rsquo;s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
 
 
 All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
 
 
 About the Role
 
 We are seeking a skilled and autonomous Software Engineer to join xAI&rsquo;s Applied Safety team, where you will build and maintain advanced systems to ensure compliance with X&rsquo;s Terms of Service and safeguard users from threats like abuse, spam, and fraud. In this role, you will architect scalable, distributed systems to process high-scale event data, drive innovative safety solutions, and collaborate cross-functionally to promote a secure and trusted global digital public square. Ideal candidates are generalists who thrive in fast-paced, 0-to-1 environments, prioritize shipping impactful code, and are passionate about delivering real-world results through engineering excellence.
 
 Responsibilities
 <ul>
 <li>
 Develop and maintain backend and data systems to support high-scale event processing for abuse detection, spam remediation, child safety, and related safety tooling.
 </li>
 <li>
 Architect scalable distributed systems capable of processing thousands of events per second to mitigate platform threats.
 </li>
 <li>
 Collaborate with engineering, product, and operations teams to address complex safety challenges and drive impactful solutions.
 </li>
 <li>
 Write clean, efficient code primarily in Scala and Go, utilizing Map-Reduce frameworks like Scalding and scripting in Python.
 </li>
 <li>
 Exercise autonomy in designing new systems and iterating on existing ones to achieve step-wise improvements in safety and performance.
 </li>
 <li>
 Potentially lead technical initiatives in critical areas such as payments risk or abuse mitigation.
 </li>
 </ul>
 Required Qualifications
 <ul>
 <li>
 5+ years in software engineering roles, with a focus on backend or data systems
 </li>
 <li>
 Proven experience building and operating scalable software services
 </li>
 <li>
 Strong generalist skills, with familiarity in distributed systems
 </li>
 <li>
 Enjoyment of 0-to-1 environments, where you trail blaze novel engineering solutions
 </li>
 </ul>
 Preferred Qualifications
 <ul>
 <li>
 Familiarity with safety or security challenges in large-scale platforms, such as abuse detection or fraud prevention.
 </li>
 <li>
 Proven ability to lead technical initiatives or drive cross-functional collaboration in dynamic settings.
 </li>
 <li>
 A proactive mindset, with a focus on shipping impactful features over minor tweaks.
 </li>
 <li>
 A sense of adaptability and a touch of humor to thrive in a fast-paced, startup-like environment.
 </li>
 </ul>
 Annual Salary Range
 
 $200,000 - $350,000 USD
 
 Benefits
 
 Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.
 
 
 
 xAI is an equal opportunity employer.
 
 
 
 California Consumer Privacy Act (CCPA) Notice
 
</div>

Software Engineer, Safety

Mobile Programming India Pvt Ltd

Job Title: Principal / Staff Backend Engineer Company: FYND Location: Bangalore (WFO) Experience: 8+ Years Salary: Up to 18 LPAJob Description:Mobile Programming is seeking a senior engineering leader to architect, design, and deliver large-scale distributed backend systems.Responsibilities:<ul><li>Lead system and architecture design</li><li>Build high-scalability backend microservices</li><li>Mentor engineering teams</li><li>Manage cloud deployments and distributed systems</li><li>Conduct code &amp; design reviews</li></ul>Required Skills:<ul><li>Java</li><li>Spring Boot</li><li>Microservices</li><li>Kafka</li><li>MongoDB</li><li>Postgres</li><li>Redis</li><li>GCP</li></ul>What We&rsquo;re Looking For:<ul><li>Strong leadership and communication</li><li>Hands-on coding + architecture experience</li><li>Ability to design scalable distributed systems</li></ul>Job Types: Full-time, PermanentPay: &#8377;1,000,000.00 - &#8377;1,800,000.00 per yearExperience:<ul><li>gRPC: 2 years (Required)</li><li>PostgreSQL: 2 years (Required)</li><li>Node.js: 5 years (Required)</li></ul>Work Location: In person

Principal / Staff Backend Engineer

Oracle

<div><div>Senior Member of Technical Staff (Software Developer 3) - Oracle Cloud Infrastructure (OCI)
 
Platform - Commercial Systems
 The Oracle Cloud Infrastructure (OCI) team gives you the chance to build and operate
 
massive-scale, integrated cloud services in a broadly distributed, multi-tenant environment.
 
We&rsquo;re committed to delivering best-in-class cloud products for customers tackling some of the
 
world&rsquo;s toughest challenges. If you&rsquo;re a hands-on engineer who loves solving hard problems in
 
highly available, distributed systems and virtualized infrastructure, you&rsquo;ll have outsized
 
technical and business impact here&mdash;designing and building innovative systems that power
 
mission-critical applications.
 The OCI Platform &ndash; Commercial Systems organization owns services spanning Customer Sign-up,
 
Subscription &amp; Tenancy Management, Metering, Pricing, Cost Management, and integrations with
 
Billing/Contract Management. We also provide foundational platform services to set up and
 
configure accounts, organize resources for efficiency, and control resource consumption across
 
large-scale cloud implementations.
 Our Senior engineers contribute to the team&rsquo;s technical direction while working independently
 
on well-scoped tasks and partnering closely with senior engineers. You&rsquo;ve helped develop and run
 
scalable services, balancing speed and quality through iterative delivery. You promote
 
operational excellence and an ownership mindset, and you use data to inform proposals and justify
 
changes, building alignment within your squad and with partner teams.
 We&rsquo;re seeking a Senior Engineer with working knowledge of cloud platforms and hands-on
 
development, plus foundational design experience in large-scale distributed systems. 
Qualifications
BS/MS in Computer Science or related technical field involving coding, or equivalent practical experience.
 
4+ years of software development experience.
 
Strong coding skills in Java, or similar OO language.
 
Proven experience delivering features/services across the full SDLC.
 
Working knowledge of large-scale, distributed services; familiarity with cloud concepts is a plus.
 
Experience operating production services (on-call/incident response exposure preferred).
 
Systematic problem-solving, clear communication, strong sense of ownership and drive.
 
Foundational design experience&mdash;able to contribute to component designs and reviews (not required to be an architecture expert).
 
Excellent written and verbal communication; able to present complex ideas clearly and concisely.
 
Comfortable working in a collaborative, agile environment.</div></div>
 <div>As a member of the software engineering division, you will assist in defining,designing and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.</div>

Java Full-Stack Developer 3 with Distributed Design experience

AMIGO

<div><h1 class="jobSectionHeader">About Amigo</h1>
Amigo builds AI agents for healthcare. For managed service customers, we are responsible for maintaining and uplifting agent performance, ensuring clinical safety and continuous improvement of patient outcomes.
Our agents operate autonomously within bounded clinical domains. Clear inclusions, exclusions, and handoff protocols. The scope of autonomous operation expands over time as we validate performance across patient populations.
Backend systems serve millions of patient conversations across multiple regions. The work includes real-time inference, multi-LLM orchestration, EHR integrations with legacy healthcare systems, and security for regulated environments.
Series A from leading investors. Clinical validation and evidence generation in partnership with leading academic medical institutions.<h1 class="jobSectionHeader">
About this role</h1>
As a Staff Software Engineer (Backend) at Amigo, you'll own the technical direction of the backend systems that power our agent platform at scale. You'll architect high-performance services handling millions of conversations, drive engineering standards, and make critical decisions on system design for real-time inference, LLM orchestration, and healthcare integrations.
You'll mentor engineers, shape technical culture, and ensure we maintain elite engineering standards as the team grows. These systems handle sensitive patient data and support clinical workflows&mdash;correctness and reliability are non-negotiable.<h1 class="jobSectionHeader">
What you'll do</h1><ul><li>
Own technical architecture for backend systems including real-time inference, multi-LLM orchestration, and conversation handling</li><li>
Drive engineering standards for code quality, testing, observability, and incident response</li><li>
Architect high-performance services that handle concurrent requests at scale with predictable latency</li><li>
Design integration patterns for EHR systems and legacy healthcare infrastructure</li><li>
Own the approach to distributed systems challenges: consensus, replication, fault tolerance</li><li>
Make build vs. buy decisions and evaluate technical tradeoffs across the backend stack</li><li>
Design APIs and service-oriented architectures that power the agent platform</li><li>
Architect secure data handling for sensitive healthcare information with proper access controls</li><li>
Own monitoring, logging, and observability architecture for backend services</li><li>
Mentor engineers and establish patterns that raise the bar for the entire team</li><li>
Collaborate with platform, infrastructure, and agent teams to ensure system-wide coherence</li><li>
Define reliability targets and drive operational excellence across backend systems</li></ul><h1 class="jobSectionHeader">
What we're looking for</h1><ul><li>
7+ years of production backend engineering experience, with significant time at elite engineering organizations</li><li>
Expert-level experience with backend development in Python, Go, or similar languages</li><li>
Proven track record designing distributed systems that scale&mdash;you've built and operated high-traffic production services</li><li>
Deep experience with concurrency programming, including threads, async operations, and parallelism</li><li>
Strong understanding of distributed systems concepts (consensus, replication, partitioning) and when to apply them</li><li>
Experience with message queuing systems, event streaming, and async communication patterns at scale</li><li>
History of establishing engineering standards and mentoring engineers</li><li>
Extremely high standards for code quality, reliability, and operational excellence</li><li>
Both execution-oriented and defensive-minded: you ship fast while anticipating failure modes</li><li>
Deep knowledge of database systems, both SQL and NoSQL, and their scaling characteristics</li><li>
Excellent written and verbal communication across engineering and executive stakeholders</li></ul><h1 class="jobSectionHeader">
Nice to have</h1><ul><li>
Experience with healthcare systems, EHR integrations, or HIPAA compliance at scale</li><li>
Background with real-time inference systems or LLM orchestration</li><li>
Experience with high-throughput, low-latency system design</li><li>
Track record building and scaling engineering teams</li><li>
Understanding of observability and monitoring in distributed environments</li></ul><h1 class="jobSectionHeader">
Benefits</h1><h2 class="jobSectionHeader">
Health &amp; Wellness</h2><ul><li>
Comprehensive health, dental, and vision insurance</li><li>
Mental health support and wellness coaching</li><li>
Flexible wellness stipend for fitness, therapy, or personal growth</li><li>
Daily catered lunch and dinner</li></ul><h2 class="jobSectionHeader">
Growth &amp; Development</h2><ul><li>
Annual learning budget for courses, books, or conferences</li><li>
Conference attendance budget for professional development</li><li>
Development setup of your choice</li><li>
Academic collaboration opportunities</li></ul>
Compensation Range: $220K - $260K</div>

Staff Software Engineer (Backend)

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Senior Data Engineer
&#61558; Job Overview 
&#61656; The Senior Software Engineer will do the design, development, and delivery of advanced big data solutions within the Hadoop ecosystem.
&#61656; 
This role involves architecting and implementing scalable data processing frameworks, ensuring high performance and reliability across distributed systems.
&#61656; 
The engineer will research and evaluate emerging technologies to optimize data workflows and meet evolving business needs.
&#61656; 
Additionally, the position requires hands-on expertise in Cloudera distribution and related tools, ensuring seamless orchestration and integration of data pipelines.
&#61656; 
The Senior Software Engineer will also be responsible for maintaining operational excellence, meeting SLA requirements, and mentoring team members to drive technical innovation and best practices. 
&#61558; Role 
&#61656; Contribute individually to the design, development, and implementation of large-scale data engineering solutions within the Hadoop ecosystem, ensuring high performance, scalability, and reliability. 
&#61656; Drive end-to-end technical delivery for projects involving Cloudera distribution, Apache Ozone, Apache Iceberg, Apache Airflow, Apache NiFi, and Apache Spark. 
&#61656; Collaborate with cross-functional teams to define architecture, technical standards, and best practices for big data platforms and workflows. 
&#61656; Perform rigorous performance benchmarking and optimization for newly developed distributed frameworks, ensuring efficient parallel processing and scalable storage solutions across large datasets. 
&#61656; Research and evaluate emerging technologies in distributed data storage, orchestration, and processing frameworks to optimize data pipelines and improve operational efficiency. 
&#61656; Develop strategic technical plans and create architecture proposals addressing solution gaps and business requirements. 
&#61656; Provide technical leadership in planning, design, and implementation phases, ensuring compliance with security, quality, and performance standards. 
&#61656; Ensure adherence to SLAs, manage production incidents, and drive root cause analysis and remediation for complex issues. 
&#61656; Conduct Proof of Concepts (PoCs) for new technologies and contribute to technology roadmaps for the organization. 
 
&#61558; Education 
 
&#61656; Bachelor's degree in Information Systems, Information Technology, Computer Science or Engineering or equivalent experience.
&#61558; 
 
Knowledge / Experience: 
&#61656; 6+ years of experience in related field, including 4-5 years of experience in delivering secure solutions in Financial Services Sector is preferred.
&#61656; 
Advanced knowledge and understanding of Software Engineering Concepts and Methodologies is required.
&#61656; 
Demonstrate MC Core Competencies.
&#61558; 
 
About You 
&#61656; High-energy, detail-oriented, and proactive, with the ability to work independently under pressure while driving results with initiative and self-motivation. 
&#61656; Strong aptitude for quickly learning and implementing new big data technologies, frameworks, and tools, and performing Proof of Concepts (PoCs) to identify optimal solutions. 
&#61656; 6+ years of overall experience in software engineering with 5+ years of hands-on experience in Hadoop ecosystem projects, including Cloudera distribution. 
&#61656; Proven expertise in building distributed data pipelines and frameworks using Apache Spark (Scala/Python/Java) for massive parallel processing. 
&#61656; Hands-on experience with Apache Ozone and Apache Iceberg for distributed storage and table formats. 
&#61656; Skilled in designing and managing orchestration workflows using Apache Airflow and Apache NiFi for complex data integration scenarios. 
&#61656; Strong analytical and problem-solving skills for debugging production issues, performing root cause analysis, and implementing mitigation plans. 
&#61656; Excellent communication skills&mdash;both verbal and written&mdash;with strong collaboration and organizational abilities to work in diverse, geographically distributed teams. 
&#61656; Ability to multitask across multiple projects, provide technical leadership, and mentor junior team members. 
&#61656; Flexible and adaptable to evolving technologies and business needs, with a passion for innovation in big data solutions.
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Senior Data Engineer

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