# This Role:
As StreamNative's Cloud Product Engineer, you will have the opportunity to build and shape a powerful, industry-leading event streaming product from the get-go. The Cloud Product Engineer will be someone that posses unique engineering talent and is excited about the opportunity to join the StreamNative team, build our Pulsar-as-a-service solution, and help transform the future of the streaming messaging industry.
# Responsibilities
- Build, orchestrate, and maintain an enterprise-grade cloud-native streaming data service offering of Apache Pulsar.
- Help deliver the Pulsar-as-a-service offering in our customer’s cloud environment by leveraging container orchestration tools like Kubernetes.
- Collaborate with product and engineering teams to improve products, meet new requirements of product, and continuously improve the quality and competitiveness of products.
- Design and develop an automation platform to standardize cloud-native operations.
# About You
- Excellent problem-solving skills, good communication skills, and teamwork spirit.
- Understand various common network protocol principles and virtualization technologies.
- Experience with containers, cloud-native/microservice architectures.
- Experience with container orchestration technology, e.g. Kubernetes, a strong plus.
- Experience in using automation tools, such as Puppet, Ansible or Terraform.
- Experience with distributed systems, load balancing, and system monitoring.
# The Perks!
- Competitive salary
- Equity in a fast-growing enterprise startup
- Awesome, supportive coworkers with a good sense of humor
- Working with a globally distributed team of passionate developers, hackers and open-source fanatics
- Remote friendly
- Medical, dental, vision insurance
- Flexible paid time off
- Commuter benefits
This position is for developing the core technologies around Apache Pulsar - the cloud-native event streaming system. To learn more about the project, checkout its website: pulsar.apache.org
## What you will get to do
- Develop core technologies around Apache Pulsar and Apache BookKeeper
- Build ecosystems around Apache Pulsar and Apache BookKeeper
- Build developer communities of Apache Pulsar and Apache BookKeeper and publish technical posts
- Develop commercial products on Apache Pulsar and Apache BookKeeper
## About You
- Excellent problem-solving skills, good communication skills, and teamwork spirit;
- Familiar with at least one language of Java/Python/Go/C++, with good programming skills;
- Familiar with the principles and key technologies of distributed systems. Knowledge and practice in distributed message middleware systems (such as Kafka/RabbitMQ) is preferred;
- Experience with big data systems (Hadoop, HDFS, Hive, Spark, Flink, etc.) is preferred;
- Experience with Docker, Kubernetes, Ansible/Terraform, etc. is preferred.
## The Perks!
- Competitive salary
- Equity in a fast-growing enterprise startup
- Opportunity to build and shape a powerful, industry-changing event streaming product from the get-go
- Awesome, supportive coworkers with a good sense of humor
- Working with a globally distributed team of passionate developers, hackers and open-source fanatics
- Remote friendly
- Benefits to keep you happy and healthy
- Medical, dental, vision insurance
- Flexible paid time off
- Commuter benefits
Data stream processing is redefining what`s possible in the world of data-driven applications and services.
Our teams are pushing the boundaries of what can be achieved with data stream processing, allowing our users and customers to gain more insights into their data in real-time.
Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production.
We are looking for passionate software developers that enjoy solving challenging problems and are excited about open source, helping us build world-class data streaming technology.
As a software engineer at
Data stream processing is redefining what’s possible in the world of data-driven applications and services.
Our teams are pushing the boundaries of what can be achieved with data stream processing, allowing our users and customers to gain more insights into their data in real-time.
Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production.
We are looking for strong systems builders that have a deep understanding of the internals of distributed systems, database systems, or performance-critical code in general. As a distributed systems engineer at
As a citizen of the Flink open source community, you will be in direct touch with Flink users and participate in the day-to-day open source work.
We also encourage engineers to talk publicly about their work at conferences, meetups, and
Data stream processing is redefining what’s possible in the world of data-driven applications and services. Apache Flink is one of the systems at the forefront of this development, pushing the boundaries of what can be achieved with data stream processing.
Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production. Flink is also one of the most active and fastest-growing open source projects in the Apache Software Foundation.
You will work with engineering teams inside of our customers to build the best possible stream processing architecture for their use cases. This includes reviewing their architecture, giving guidance on how they design their Flink applications, and helping them take their first steps with our products.
Some of the customer engagements will be carried out remotely via phone and screen share, but the position also includes traveling to customers to help them onsite.
And when you’re not working with our customers, there are plenty of opportunities at
London,UK
Minimum qualifications:
Preferred qualifications:
About the job
gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.
As a Data Analyst, you'll work closely with clients and produce innovative and actionable quantitative models and analyses to address the challenges of marketing effectiveness, return on investment and prediction. The Global Premium Services team is a solution-generating team that helps our Sales teams and advertisers. In addition to troubleshooting on the customer side, we work with Sales, Product, and Engineering teams within Google to develop better tools and services to improve our products based on the evolving needs of our users. As a cross-functional and global team, it's our job to help keep the lights on and the ads relevant.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of solution-oriented trusted advisors support millions of customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
London, UK
Minimum qualifications:
Preferred qualifications:
About the job
As a Head of Engineering in EMEA, you'll lead a technical Cloud team of Managers and Field Engineers. You will work closely with our regional leads to accommodate the demand for skills, provide technical leadership across the region and mentor a growing team.
You'll have the opportunity to thrive while working in small, highly-performing teams and bringing your demonstrated leadership acumen to a team responsible for ensuring the best experience for customers moving to Google Cloud.
The Google Cloud Professional Services team is responsible for introducing Google’s clients to Google Cloud Platform and G Suite, and assisting them from inception to production. We solve the most challenging and complex technical problems - from infrastructure migration, to network optimization, to security best practices and much more. We also work closely with product engineering and support staff to flawlessly lead client deployments, implementations and the integration of custom features.
Responsibilities
London, UK
Minimum qualifications:
Preferred qualifications:
About the job
Apigee Edge is an advanced API platform that enables enterprises to create, manage, secure and scale APIs. Using Apigee, enterprises can design and deploy API proxies in public and private clouds, secure data in transit with OAuth 2.0, SAML and two-way TLS, protect against traffic spikes by adding dynamic routing, caching and rate-limiting policies to APIs, and measure the success of both API operations and API business with end-to-end analytics.
As part of an entrepreneurial team in this rapidly growing business, you will help businesses of all sizes leverage technology to connect with customers, employees and partners.
As a Technical Solutions Engineer, you'll combine software development, networking and systems administration expertise with an aptitude for technical consulting, troubleshooting and analysis. You'll work across multiple customer-facing teams to improve the product's vision, while also ensuring that global businesses and organizations continue to be successful. You are a technical solutions expert, helping Googlers and customers approach and resolve technology problems and design Google-scale services.
Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And our teams are dedicated to helping our customers and developers see the benefits of our technology come to life.
Responsibilities
Munich, Germany, Europe
AWS EMEA SARL (Germany Branch)
Description
Are you an analytics and data warehousing specialist? Do you have experience of data ingestion, storage, processing and visualization? Do you like to solve the most complex and large-scale data challenges in the world today? Do you want to have an impact in the development and use of new data analytics technologies? Would you like a career that gives you opportunities to help customers and partners use cloud computing to build new solutions, faster, and at lower cost? Do you like to gain the deepest customer and partner insights using cloud computing technologies? Come join us!
Amazon Web Services (AWS) is looking for highly talented hands-on technical experts to collaborate with our customers and partners on key engagements in the data and analytics space. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. These engagements will focus on AWS Services for analytics in regard to data lake solutions on the AWS cloud, and on helping our customers and partners build innovative solutions and businesses that focus on leveraging the value of data. You will work on the complete set of technologies used in a data lake lifecycle: data integration, data storage, metadata management, data lineage and tiering, entitlements, master data management, data movement, data processing, and data visualization.
As a Data Lake Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for helping customers select the technologies that will support their business requirements, and successfully deploy analytics platforms on the AWS cloud. As part of the Data and Analytics Specialist Solutions Architecture team, you will work closely with the other Specialist SAs on Big Data, Databases, Analytics and Artificial Intelligence, as well as the Business Development teams, to enable large-scale customer use cases and drive the adoption of AWS for their data processing platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and developing white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage the AWS platform. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS solutions into customer architectures.
Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large-scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.
If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.
Basic Qualifications
Preferred Qualifications
Washington, Seattle
Description
Amazon Kinesis Data Analytics(KDA) team is looking for Senior Engineers who are passionate to build distributed stream processing engines. We are looking for builders who are enthusiastic about data streaming and excited about contributing to open source.
Real-time data processing from a stream needs substantial investments from customers in writing the application and maintaining the necessary infrastructure. KDA service provides customers with fully managed stream processing platform where customers can develop their applications using SQL or Java. With the service all that customers need to do is provide the application code that needs to be run containing the business logic to process the stream and service takes care of providing building blocks/abstractions such as processing windows, execution semantics, checkpoints and infrastructure capabilities such as elasticity, fail-over etc. eliminating complexity of stream processing.
As a senior member of KDA team you will be working on making improvements to the stream processing engine, Apache Flink to make KDA service the easy place to run stream processing application. Upstream compatibility is a core tenet of KDA service and your changes to improve the engine will be contributed back to open source. As a member of the KDA service you will be working on adding new stream processing operators, improving efficiency and availability of the engine and push the envelope of stream processing.
The ideal candidate has experience working on large-scale systems, enjoys solving complex software problems, and possesses analytical, design and problem-solving skills. While not necessary having an in-depth understanding of data processing technologies such as Apache Flink, Apache Spark, Apache Storm, Hadoop frameworks is a plus. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with other engineers to define your team's roadmap, including identifying design and code changes needed in the underlying open source platforms.
Come join us to make stream processing main stream for our customers.
Preferred Qualifications
Cambridge, England
Description
Come build the future of data streaming with the Amazon Managed Streaming for Kafka (MSK) team!
We are seeking builders for our newly launched Amazon MSK service, a fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data. We are looking for engineers who are enthusiastic about data streaming, and are as passionate about contributing to open source as they are about solving real customers' business needs, at AWS scale.
As a member of the Amazon MSK team, you will be making contributions to the entire stack - the APIs and the workflows that make up the MSK service, the core Kafka platform, and stand-alone tools that make it easier for Kafka community to operate Kafka better. Upstream compatibility is a core tenet of MSK. Your code changes to the Kafka platform will be released back to open source. As a member of a new AWS service that builds on top of a popular open source technology, this is a unique opportunity to work on a team that straddles both worlds – open source and Amazon-internal software. You will design and build new features, make performance improvements, identify and investigate new technologies, prototype solutions, build scalable services, and test and review changes, to deliver an exceptional customer experience.
The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses analytical, design and problem-solving skills. 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 to define your team's roadmap, including identifying design and code changes needed in the underlying open source platforms.
Basic Qualifications
Preferred Qualifications
Austin, Texas
Eventador.io is looking for a Java/Full Stack developer to help build a world-class streaming data platform.
Eventador is a small team taking on big problems, and we're having a lot of fun doing it. Our headquarters is located in wonderful Austin, Texas. All the normal perks - plenty of space, free snacks, free parking on site, plenty of space to work, and an amazing team to work with.
Sound like the kind of environment you'd enjoy? Let us know, we'd love to meet you!
Equity is negotiable.
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