Java Developer Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Provide L2 support in incident, request, change and problem management related to server and DB operations in Windows and Unix operating systems. Provide L2 support covering 24/7 and participate in Major incidents. Ensure SLA for incidents and service requests are met with high quality of work. Ensure KPIs, such as breach case target, MTTR and escalation target is met. Install and upgrade firmware for hardware and operating systems, apply patches and implement changes when required. Diagnose and troubleshoot OS/hardware errors ensuring high availability of MFG systems. Monitor server performance proactively and perform analysis of cases to prevent recurring issues. Review and enhance server monitoring when required. Develop processes and operation procedures related to server operations. Create and manage reports, visualizations, and dashboards related to windows/unix operations. Perform capacity planning and participate in Disaster Recovery drill. Work with Subject Matter experts (Level 3) for improvement projects to ensure security, availability, performance, interoperability and reliability of Micron’s core computing resources. Requirement: Bachelor’s or Master’s degree Computer Science, Electrical & Electronics/Computer/Software Engineering, Information Systems or related fields. Aca

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: W e are currently unable to provide visa sponsorship for this position (including H-1B, OPT, or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St). About the Role: We're seeking a Senior Software Engineer to join our Post-Booking team, someone who doesn't just build, but raises the quality bar across our entire ecosystem. You'll be instrumental in shaping the consumer experience following the initial booking process. Your work will focus on building new features to improve the customer experience through high-performance Node.js services and AI-driven enhancements, as well as critical replatforming work to modernize our microservice infrastructure. Key Responsibil

About the role 우리의 플랫폼에 대한 강력한 기술적 지지와 고객의 요구사항을 기반으로 MongoDB가 성장할 수 있도록 돕는 기술에 열정을 가진 인재들을 저희의 프리세일즈 조직에 모십니다. MongoDB 프리세일즈 솔루션 아키텍트는 고객 및 사용자들이 MongoDB 데이터 플랫폼을 활용해 신뢰할 수 있고 확장 가능한 시스템을 설계하고 구축할 수 있도록 안내합니다. 이 팀은 숙련된 기술 영업 전문가, 소프트웨어 아키텍트, 기업가, 그리고 개발자로 구성되어 있으며, 고객의 성공을 직접적으로 책임지고 있습니다. 여기에는 소프트웨어 설계, 배포, 운영 등이 포함됩니다. 이 직무는 영업 전문가들과 긴밀히 협력하며, MongoDB 솔루션을 활용해 고객의 비즈니스 문제를 해결하고, 계약 성사 및 비즈니스 개발에 중요한 역할을 합니다. 스타트업부터 세계 최대 규모의 엔터프라이즈 IT 조직에 이르기까지 다양한 사용자들에게 신뢰받는 조언자가 되어주실 분을 찾고 있습니다. 우리의 하이브리드 업무 방침에 따라 대한민국 서울 오피스로 출퇴근이 가능하신 분을 모시고자 합니다. As an ideal candidate, you will have 12년 이상의 고객 대면 역할 관련 경험 (3년 이상의 엔터프라이즈 소프트웨어 프리세일즈 경험 우대) 3년 이상의 Python, Node.js, SQL과 같은 현대적인 스크립팅 언어 또는 C/C++, Java, C# 등 인기 있는 프로그래밍 언어를 전문적으로 다룬 경험 클라우드 및 온프레미스에서 확장 가능한 고가용성 분산 시스템 설계 경험 기존 애플리케이션의 복잡한 아키텍처를 검토하고 기술 활용을 통해 개선 방안을 제시한 경험 뛰어난 발표 및 커뮤니케이션 능력, 그리고 기술 및 비즈니스 리더십과 명확하고 설득력 있게 소통할 수 있는 능력 영업 팀과의 전략적 협업 및 다방면적 고객 전략 수립 능력 최대 25%의 출장이 가능하신 분 학사 학위 또는 이에 상응하는 경력 You may also have 데이터베이스 판매 및 주요 클라우드 공급자와의 애플리케이션 배포 경험 데이터베이스 프로그래밍 및 데이터 모델 경험 데이터 엔지니어링 또는 AI/ML 프로젝트 참여 경험 기존 시스템을 현대적이고 확장 가능하며 효율적인 기술 스택으로 전환한 경험 MEDDPICC/Command of the Message와 같은 인기 있는 세일즈 방법론/프레임워크 이해 MongoDB 및 클라우드 공급자 자격증 보유 What you do at MongoDB 이 직무는 상황이나 데이터를 심도 있게 분석해야 하는 복잡한 기회를 다룹니다. 설계 및 아키텍처: 대규모 소프트웨어 프로젝트를 위해 확장 가능하고 성능이 뛰어난 애플리케이션, 시스템, 인프라 설계 고객 조언 및 가치 전달: MongoDB의 아키텍처 패턴과 최적화 전략을 고객에게 안내하고, 관련 이해관계자에게 비즈니스 가치를 명확히 전달 영업 협업: 기술적 발견, 데모, 가치 검증, 프레젠테이션 등 영업 과정에서의 기술적 부분 담당 수요 창출: 산업 행사 및 고객 기반 마케팅 이벤트에 참여하여 기술적 이니셔티브를 통한 수요 창출 고객 성공: 강력한 고객 관계 구축, 고객 챔피언 육성, 성공 및 만족 보장 혁신 및 개선: 필드 피드백을 제품 팀에 전달하는 등 MongoDB 솔루션 및 프로세스 혁신 및 개선 교육 및 개발: MongoDB 제품군 및 산업 동향에 대한 지속적인 학습과 자기 개발 What you will learn MongoDB 제품군 핵심 데이터베이스 서버: MongoDB 핵심 데이터베이스의 기본 및 고급 기능 숙달 Atlas 및 고급 서비스: Atlas(완전 관리형 클라우드 데이터베이스 서비스), Atlas 스트림 처리, Atlas 데이터 레이크, Atlas 전체 텍스트 검색, Atlas 벡터 검색 및 차트에 대한 전문성 확보 Relational Migrator: 관계형 데이터베이스의 원활한 마이그레이션 툴 시장 관련 기술 하이퍼스케일러 생태계: 하이퍼스케일러 플랫폼의 클라우드 서비스를 활용하여 복잡한 시스템 설계 전문성 확보 보완 기술: Apache Kafka

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Commerce Platform organization at Instacart is seeking an experienced Staff Software Engineer to lead foundational platform initiatives on the Orders Platform team. The Orders platform is the orchestration layer for commerce at Instacart, coordinating the end-to-end lifecycle of every order across customers, shoppers, retailers, payments, fulfillment systems, and partner integrations at scale. In this role, you will help define and drive the architectural strategy for systems that support hundreds of millions of transactions each year. You will work on the reliability, correctness, scalability, and auditability of order workflows across diverse use cases and fulfillment models, while unlocking new experiences for customers, shoppers, retailers, and partners. The Orders Platform team sits at the center of Instacart’s commerce stack, which means this rol

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available. We have a number of open roles within the Data Platform team, each with a different focus area; read on to see if you'll be a good fit as a Data Engineering Platform Engineer. This role sits between our platform and the analysts, data scientists, and d

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Responsibilities Low-Latency Architecture: Design, provision, and maintain ultra-low latency AWS and hybrid network topologies, including VPCs, exchange gateways, and regional deployment expansions. Performance Tuning: Optimize Linux OS kernels and compute performance using CPU isolation (isolcpus), AWS Cluster Placement Groups, and enhanced networking (ENA/ENI). Infrastructure as Code: Drive infrastructure automation, provisioning, and configuration management using Terraform and Ansible. Platform Scaling: Architect infrastructure to support expanding Exchange Market Making (EMM), Project Market Making (PMM), and TradFi exchange convergences. Observability & Reliability: Build telemetry and monitoring pipelines using Grafana Cloud and Alloy to ensure continuous visibility into platform performance. Technical Leadership: Guide the technical roadmap, mentor junior engineers, and act as an escalation lead for critical system incidents. Key Qualifications 5+ years of experience in Infrastructure Engineering, Systems Engineering, or SRE, with a focus on low-latency electronic trading environments . Deep Linux Internals Expertise: Advanced experience with kernel-level performance tuning, memory management, and network I/O optimization (isolcpus, network profiling, ring

Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed. We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer. Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity What’s In It For U Work Where You Thrive: Find a hybrid work environment that allows you to enjoy great work life balance, stay connected and collaborative Generous Time Off : Our leadership believes in taking the time you need when you need it. Day One Health Benefits + Employer-Matched Retirement Savings : You might think these are table stakes, but we know these matter to you. More Than Just Core Values : Our values are fundamental in how we attract, train, and retain top talent. Award-Winning Onboarding Program : We set you up from the get-go to make a significant impact from Day One and follow you through your entire first year. Real Career Growth

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer you will own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You will lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact will extend beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This role is based in our London office. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and growth across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion,

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’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 — 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. WHAT WE OFFER Paid, full-time internships Post-internship career opportunities (full-time or part-time) Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class security experts on challenging, high-impact projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Treated as a full member of the Snowflake team: company meetings and activities, flexible hours, casual dress code, swag, and much more Warsaw office perks: catered lunches, access to recreational games, happy hours, company outings, and more WHAT WE EXPECT Must be actively enrolled in an accredited college/university program during the internship period Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field Required coursework: algorithms, data structures, and operating systems Recommended coursework: information security, cryptography, cloud computing, database systems, or distributed systems Duration: 4 months + recommended Strong programming skills in Python or Java Solid knowledge of data structures and algorithms; familiarity with

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Network Engineer serves as a technical leader in the design, implementation, and optimization of our enterprise and cloud network infrastructure. This role partners closely with Technology leadership, engineers, and end users to deliver secure, scalable, and high-performing network solutions with a strong focus on AWS and Google Cloud Platform (GCP). Responsibilities: Define cloud network requirements, establish architecture, and create detailed designs and standards that meet business goals. Manage and support LAN/WAN implementations and configurations, including routing, switching, firewalls, wireless, voice, and video solutions. Provide leadership in managing network infrastructure and related support organizations, including MSPs, cloud providers, and communications vendors. Perform root-cause analysis and problem resolution; provide recommendations, build consensus, and execute solutions. Recommend appropriate courses of action to network infrastructure engineers, NOC, MSPs, and IT management on technical and operational issues Essential skills and/or Certifications: Bachelor’s Degree in Computer Science, Information Systems, or other related field Minimum 8 years of experience in network engineering Expert knowledge of enterprise-level cloud architecture with a focus on network design and implementation (AWS and GCP, with a focus on GCP). Networking certifi

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. Database Observability is a critical pillar of New Relic's platform strategy. We are looking for an experienced Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products. Your team will own the entire lifecycle of critical telemetry data flows from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents. You will lead a team that includes senior and Lead-level engineers with deep domain expertise in distributed systems and AI. Your primary value will come from setting strategic technical direction, enabling their best work, and fostering a high-accountability culture while partnering closely with Product and Design to deliver features that directly drive New Relic's Database Observability. What you'll do Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows. Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingesti

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Celonis Context Model provides a real-time digital twin of enterprise operations, serving as the bridge between enterprise systems and AI. It captures how business actually flows across systems, giving organizations and AI agents the context needed to optimize complex workflows in real time. As an engineer on the Context Model Core team, you will shape the foundation powering the future of Enterprise AI and Process Intelligence. The Role: We are looking for a Full Stack Engineer to build the core capabilities to power the Celonis Context Model. In this role, you will build the next generation of user-facing tools and robust backend services that define how the world’s largest enterprises understand their data. You will tackle full-stack engineering challenges end-to-end: from designing scalable microservices in Java (Spring Boot) to building rich, interactive UI components in Angular and TypeScript . You’ll work closely with product and design to turn abstract data modeling into fast, reliable and joyful user experiences. Your work at Celonis will directly impact companies and people around the globe as they improve their processes to save money, reduce waste, improve automation and generally become more efficien

1KOMMA5° At 1KOMMA5° , we pursue a clear vision: Living on wind and sunlight forever for free . To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it? We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia. Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow. Learn more about our Product & Tech team! Deine Position Own technical direction across Heartbeat AI's engineering domain (Mobile Apps, Energy Data, IoT Platform, and beyond), keeping architecture aligned with product direction Accountable for consistent execution of technical decisions within your domain, setting clear direction and holding the team accountable for implementation Set the technical bar for the team, stepping into the hardest problems yourself rather than just directing others Translate business and product requirements into technical solutions Mentor and challenge engineers within Heartbeat AI to accelerate their growth Build a high-performing engineering culture within the Heartbeat AI team Embed security and reliability as direct customer value Architect our systems and APIs so AI agents operate as first-class users with machine-readable contracts and structured errors that let agents self-correct Drive Heartbeat AI's shift to agentic engineering, reshaping how the team works so agents execute safely while humans stay

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain: