דרושים » תוכנה » Senior Software Engineer - DataEngine

We are looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a Senior Software Engineer -Platform to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a Senior Software Engineer -Protocols to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

We are looking for a Senior Software Engineer -Data Path to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
About the Team
We are seeking a highly skilled Senior Data Engineer to join our company's ML Data Group and help drive the development and optimization of our cutting-edge data infrastructure. As a key member of the company's ML Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer at our company's ML you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

At our company, were reinventing DevOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production -- a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey? our company is seeking a Senior Software Engineer to join a new initiative within a newly formed group, taking part in the design and implementation of an innovative solution in the world of software development management. With a roadmap brimming with innovations, we are on the lookout for a Senior Golang Software Engineer to contribute to this new and exciting venture. This role is ideal for someone who thrives in a dynamic environment, is passionate about delivering high-quality code, and is adept at working in a startup-like environment within an industry-leading company.
As a Senior Software Engineer at our company you will
Contribute to the architecture and development of a new SaaS product using cloud-native approaches
Write high-quality, testable, and efficient code for software development management
Initiate and promote new ideas for continuous product functionality improvement, emphasizing the use of micro-service architecture approaches.

we are seeking a passionate Senior Platform Engineering Developer to help build the next generation of our Internal Platform for Engineering. If youre driven by the challenge of designing and developing cutting-edge infrastructure and tools, this is the opportunity for you. As a Platform Engineer at our company, you will be responsible for designing, developing, and managing an internal multi-cloud platform tailored for engineers. You will collaborate closely with product managers, developers, DevOps, and other engineering teams to build platform features and capabilities that enhance deployment processes, observability, monitoring, security, and cost optimization, all while ensuring the scalability, availability and stability of our company's SaaS.
As a Senior Platform Engineering Developer at our company, you will...
Take part in designing, developing, and extending the capabilities of our company internal platform and SaaS, ensuring they meet the evolving needs of engineering teams and our company customers
Develop scalable cloud-native solutions that leverage AWS, Azure, GCP, and Kubernetes, empowering teams with efficient and reliable infrastructure. Collaborate with product managers to align platform development with business objectives, ensuring the platform delivers maximum value to our company's SaaS customers
Continuously improve developer productivity by creating self-service tooling, minimizing manual interventions, and integrating cloud and Kubernetes services
Work with diverse and cutting-edge technologies, including Kubernetes, k8s Operators, ArgoCD, Prometheus, OpenTelemetry, Kafka, MongoDB, Falco, etcd, Helm, Istio, Crossplane, and Kyverno, while developing expertise in these areas.

our company, an early stage and well funded startup, is now looking for an experienced Backend developer to join a growing and dynamic R&D team. we are revolutionizing the way shipping companies operatereplacing outdated manual work with smart, AI-powered tools that bring them into the future of global trade. We offer an AI-based pricing optimization and shipment automation web platform designed to eliminate inefficiencies regarding freight pricing, placement, and shipping in general.
At our company, we put smart technology at the heart of everything we do. Our R&D teams push, embrace, and actively encourage the use of coding assistants and AI-driven development to transform the shipping industry. Were always improving how we workadopting modern development practices that help us move faster, write better code, and collaborate more effectively. This is your chance to join early, make a real impact, and grow with a team thats shaping the future of global logistics.
As a Backend Developer at our company, youll be building powerful features that push the boundaries of what technology can do in global trade. You'll work alongside a talented and diverse team of engineers, product minds, QA specialists, and domain expertseach bringing deep knowledge and fresh perspectives. In this role, youll take full ownership of complex backend systems, designing and developing robust server-side architecture from start to finish. We value independence, accountability, and the drive to turn ambitious ideas into production-ready reality.
Roles & Responsibilities:
Write scalable server-side code using Python.
Work in AWS cloud environment
Implement and maintain RESTful APIs for seamless communication between FE and BE.
Work with rational/nosql/objectstores such as MongoDB, PostgreSQL, Neptune, s3 to store and retrieve data
Write clean, readable, quality and testable code writing.
Test and debug applications to ensure high quality and performance.
Review pull requests to ensure high quality and maintainable solutions.
Seeing through a project from conception to delivery.
Follow-up on new evolutions of technology and take initiative to understand how the development will look tomorrow and help us get there.

At our company, were reinventing DevOps and MLOps to help the worlds greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust our company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. Wouldn't it be amazing if you could join us in our journey?
Are you a platform engineer who thrives on designing and building scalable, high-quality services and infrastructure?Do you want to work on cutting-edge services while shaping the backbone of an ML platform? If so, wed love to have you join our company's ML our MLOps group.
As a Senior Platform Engineer, you will play a critical role in architecting and developing cloud based core services and infrastructure with a strong emphasis on clean code, performance, observability, monitoring, and security. This role also includes developing core Go/Java libraries, cross-cutting services like authentication and authorization, Kubernetes deployments, billing etc.You will collaborate closely with engineering teams, DevOps, architects, and product managers to ensure a scalable, stable, and high-performing system.
As a Platform Engineer at our company's ML you will...
Write clean, maintainable, and efficient code following best practices.
Design and develop robust backend services with scalability, performance, and security in mind.
Conduct high-quality code reviews and architecture discussions, ensuring best practices are followed.
Take full ownership of projects - from ideation and design to production deployment and maintenance.
Collaborate with cross-functional teams to define, design, and ship new features.
Stay current with industry trends, technologies, and best practices in software development and cybersecurity.
Be involved in multiple aspects of an ML platform - from data sources to inference pipelines.

At our company, we are building an AI-First company, leveraging cutting-edge technology to revolutionize climate intelligence.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're looking for a Senior DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.
As a Senior DevOps Engineer at our company, You'll:
Develop and adopt AI-powered tools to make Development and Operations processes more efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain Production availability by participating in DevOps on-call shifts.