Flink jobs

Commercial pièces détachées - H/F Colombes posted: Posted 30+ Days Ago

Junior Signal Processing Engineer 2 Locations posted: Posted Yesterday

Senior Machine Learning Engineer Warsaw, Masovian Voivodeship, Poland Location: Poland We Are: RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies worldwide. Its proprietary ad-buying engine is the first in the world to be powered entirely by Deep Learning algorithms, enabling advertisers to generate outstanding results and reach their goals at every stage of the funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients. Desired Experience: Expertise in designing and implementing complex IT systems. Ability to develop user-friendly, versatile tools. Proficiency in at least one programming language, such as Python, C++, Java, or Scala, along with expertise in Linux. Strong skills in evaluating and optimizing system performance, from initial design through to production troubleshooting. Deep understanding of algorithms and data structures. Initiative and creativity to improve existing solutions. Ability to work effectively both within and across teams. C1 level in Polish Additional Advantages: Previous experience in the field of Machine Learning is not required, but would be an asset. Solid foundation in mathematics. Experience with GPU programming and Machine Learning frameworks such as Torch, PyTorch, or TensorFlow. Proven experience with distributed systems. Familiarity with Big Data technologies such as Hadoop, Kafka, Storm, Spark, or Flink. Hands-on experience

Senior Software Engineer, Apple Services Engineering Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building elite, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. You will partner with Apple TV and Video teams and work collaboratively to make a significant impact on Apple TV customers. At Apple, data is our first-class citizen and we build the systems that make it extraordinary. We operate at petabyte scale, engineering distributed platforms that power real-time insights, fuel business decisions, and directly shape the experiences behind Apple TV and Sports products. Our work sits at the intersection of massive-scale data infrastructure and cutting-edge AI, and no two days look the same. One day, you're architecting real-time streaming pipelines with Apache Flink, processing millions of events per second with sub-second latency. The next, you're building intelligent AI Agentic workflows and MCP servers that unlock new dimensions of automation and

Workshop Foreman Christchurch Airport posted: Posted 10 Days Ago

Parts Puller Cut Pad 1100 Crystal River, FL posted: Posted 3 Days Ago

Software Development Engineer III Data Bangalore, Karnataka When 5% of Indian households shop with us, it's important to build data-backed, resilient systems to manage millions of orders every day. We've done this - with zero downtime! 😎 Sounds impossible? Well, that's the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. We've taken steps to inculcate a strong 'Founder's Mindset' across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. Tech Culture We have a unique tech culture where engineers are seen as problem solvers. The engineering org is divided into multiple pods and each pod is aligned to a particular business theme. It is a culture driven by logical debates & arguments rather than authority. At Meesho, you get to solve hard technical problems at scale as well as have a significant impact on the lives of millions of entrepreneurs. You are expected to contribute to the Solutioning of product problems as well as challenge existing solutions. Meesho's user base has grown 4x in the last 1 year and we have more than 50 million downloads of our app. Here are a few projects we have completed last year to scale oursystems for this growth: ● We have developed API gateway aggregators using frameworks like Hystrix

PRoT Engineer - Wireline 2 Locations posted: Posted 30+ Days Ago

Director, Data Platform Engineering San Francisco, CA USA Your Impact at LILA Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience. Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. What You'll Be Building - Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage

Software Engineer, Machine Learning Platform San Francisco, CA, USA About the role Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You'll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning. This role focuses on building robust foundations that allow ML teams to move quickly while maintaining reliability, governance, and cost efficiency. The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Design, build, and operate scalable ML infrastructure on AWS - Develop distributed training and batch processing systems using Ray - Build and maintain infrastructure-as-code using Terraform - Support and evolve the feature store and feature pipelines - Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies) - Improve CI/CD workflows for ML models and platform components - Enhance observability, reliability, and cost visibility across ML workloads - Partner closely with Data Science and ML Engineering teams to improve developer

Aircraft Sprayer Broughton posted: Posted 3 Days Ago

Software Dev Engineer, Cradle (Accuro) Detroit, Michigan, USA Build exabyte-scale data processing engines with leading-edge technology. If you want to work with Spark, Java, Scala, Python, Flink, Beam, and AWS services (EMR, EKS, Kinesis, DynamoDB, SQS) - processing and transforming data across Amazon's data lakes - this is the role for you. About the Team The BDT team builds the platform that connects millions of businesses to hundreds of millions of customers across Amazon's global marketplaces. We enable native SQL, machine learning, and functional transformations using Apache Spark - executing batch, ML, and streaming workloads over schema'd data in S3, and writing curated datasets to front-end caches (DynamoDB, Redis, ElasticSearch). Our platform lets customers transition seamlessly between Streaming, Batch, Cache, and Analytics to meet demand at Amazon scale. We are a team that relentlessly innovates, keeps customers at the center, and delivers results with velocity while continuously raising the bar. What We're Looking For • Background in distributed systems development • Solid technical ability and passion for building at scale • Good communication skills and a bias for action Motivation to deliver results in a fast-paced, high-impact environment Key job responsibilities • Design & Delivery - Lead the design and delivery of major features and re-architecture of significant technology components • Quality & Operational Excellence - Ensure software maintains a high bar for quality, security, architecture, and operational excellence • Problem Solving - Identify root causes of widespread issues - including those limiting innovation and delivery velocity - across systems

Textile Engineer NY - New York City posted: Posted 30+ Days Ago

Senior Software Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is the preeminent data platform for multimodal AI use cases. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We're looking for a Senior Software Engineer to help expand the reach of Lance and LanceDB within the broader data infrastructure ecosystem. You'll work at the intersection of high-performance computing, big data, and open-source systems. You will contribute scale and performance improvements, integrations with the wider data and AI ecosystem, simplifying distributed operations, and usability and maintainability enhancements. YOU'LL BE RESPONSIBLE FOR - Designing and maintaining efficient distributed Lance dataset operations - Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino - Working on table formats, data encodings, and various aspects of the Lance format in Rust - Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems - Operating and improving internal data processing infrastructure - Promoting the Lance format in open-source communities and at Big Data conferences REQUIREMENTS - 10+ years of experience building high-performance databases, big data systems, or large-scale data services - Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino,

Foundry Senior Engineer

Software Development Engineer, Amazon Data Firehose East Palo Alto, California, USA Come build the future of data streaming with the Amazon Data Firehose (ADF) team! Amazon Data Firehose is a fully managed service for capturing, transforming, and delivering streaming data to destinations like Amazon S3, S3 Tables, Redshift, Splunk, and OpenSearch Service. It automatically scales to handle incoming data, requires no application to be written, and can perform transformations before delivery, such as format conversion or dynamic partitioning. Firehose works with billions of events and petabytes of data each day in support of many thousands of customers running mission-critical real-time applications. We are looking for a Software Development Engineer for the Amazon Data Firehose Team. The team owns all aspects of the Firehose service, including requirements, architecture, design & development, quality assurance, deployment and operations. As an engineer in this team, you will learn the ins and outs of building a highly available, scalable, distributed and secure system that uses all the modern cloud computing paradigms, techniques and tools. The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses skills to innovate, design and solve problems at scale. Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with senior leaders

Meet Seagate Meet Seagate

Senior Data Platform Engineer Berlin, Germany As part of the Platform tribe, you will help build a self-service, AI-Ready Data Platform. The Data Platform team supports our next big bets: Data, AI, and real-time analytics. We are a team focused on building scalable, reliable infrastructure to enable our global data community. What you'll do - Build and maintain best-in-class data infrastructure for critical processes. - Develop features that strengthen self-service, including for ETL and orchestration. - Optimise processes to use compute more efficiently and reduce cost. - Automate operations so the platform stays highly available. - Contribute to the design and implementation of new services. You'll be a strong fit if you - Have experience with infrastructure as code and containerisation (e.g. Terraform, Helm, Docker, Kubernetes). - Have used modern query engines (e.g. Snowflake, Databricks, BigQuery, Trino). - Have worked with modern data orchestration tools (e.g. Airflow, Dagster). - Are proficient in at least one of our main languages: Python or Go. - Bring a pragmatic, team-first mindset. - Are self-motivated, work well independently, and can balance stakeholder needs. Nice to have - Experience building and operating performant API layers. - Experience with dbt for transform, test, and documentation workflows. - Query optimization at scale. - Real-time streaming (e.g. Kafka, Flink, StarRocks, Pinot, Druid, ClickHouse). - Experience with systems at petabyte scale. - Experience implementing AI-enabled systems (e.g. agentic SRE, AI automation). About SumUp We believe in the everyday hero. Small business owners are at the heart of all we

Data Analyst Lead – Outplayed Overwolf's lair Data Analyst Lead - Outplayed

Field Service Engineer 2 Locations posted: Posted Today

Senior Data Developer - Streaming Montreal, Toronto MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We are seeking a Senior Data Developer with a strong background in event streaming to join our growing team. You will help build and maintain the data streaming platform that directly powers the MaintainX product and enables internal analytics, while developing streaming platform capabilities and tooling used by engineering teams daily. You will own the data platform's CDC-streaming service, including runtime, reliability, capabilities, deployment, governance, and developer tooling. What you'll do: - Build and operate the end-to-end CDC streaming platform (Debezium, Kafka, Flink) that produce near-real-time data products - Own the streaming infrastructure (Kafka, Flink) using Terraform and Atmos IaC, including multi-region deployments - Build and maintain CI/CD pipelines for the CDC-streaming platform - Define and enforce pipeline reliability standards - Instrument and maintain end-to-end observability for the streaming pipeline - Build self-service tooling and runbooks for onboarding new CDC sources, including automation scripts, snapshot reconciliation checks, and operational documentation - Collaborate with engineering teams to expand the CDC footprint, support new streaming data use cases, and evolve

Software Engineer, Apple Services Engineering Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like the stimulation and challenges of building elite, extraordinary scalable systems that power App Store, Apple Music, Apple TV+, Apple Fitness+, Apple Arcade and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. You will partner with Apple TV and Video teams and work collaboratively to make a significant impact on Apple TV customers. At Apple, data is our first-class citizen and we build the systems that make it extraordinary. We operate at petabyte scale, engineering distributed platforms that power real-time insights, fuel business decisions, and directly shape the experiences behind Apple TV and Sports products. Our work sits at the intersection of massive-scale data infrastructure and cutting-edge AI, and no two days look the same. One day, you're architecting real-time streaming pipelines with Apache Flink, processing millions of events per second with sub-second latency. The next, you're building intelligent AI Agentic workflows and MCP servers that unlock new dimensions of automation and decision-making.

Masker / Coater II St. Petersburg/Tampa, FL posted: Posted Yesterday

Budget Analsyt US - MD, Rockville posted: Posted 15 Days Ago