- Stream Processing
- Event Driven
- Real Time
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- Stream Processing
- Event Driven
- Real Time
Global Virtual Conference 2020
October 19-20
Training
Training
October 21-22
Conference
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Data stream processing is redefining what’s possible in the world of data-driven applications and services. Ververica with its Platform product and its major contributions to open-source Apache Flink is at the forefront of this development.
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.
Ververica was founded in 2014 by the original creators of the Apache Flink project, and we’re building the next-generation platform for real-time data applications.
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 Ververica, you will take a dual role: being involved in both the open source Apache Flink project, as well as Ververica products. You should be comfortable with taking responsibility for designs and features, and be able to work both self-supervised and in cross-functional teams. 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 via blog posts.
What you’ll do all day…
Please be informed that by applying for the job offer you hereby agree that Ververica would use your personal data in the recruitment process. The legal basis for processing your application data is Article 6 par. 1 lit. b) GDPR. Your rights in respect of data protection can be found in Chapter 3 of GDPR, and you have the right to contact a supervisory authority. Further, you may contact our data protection officer via dataprotection@ververica.com
Data stream processing is redefining what’s possible in the world of data-driven applications and services. Ververica with its Platform product and its major contributions to open-source Apache Flink is at the forefront of this development.
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.
Ververica was founded in 2014 by the original creators of the Apache Flink project, and we’re building the next-generation platform for real-time data applications.
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 Ververica, you will take a dual role: being involved in both the open source Apache Flink project, as well as Ververica products. You should be comfortable with taking responsibility for designs and features, and be able to work both self-supervised and in cross-functional teams. 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 via blog posts.
Data stream processing is redefining what’s possible in the world of data-driven applications and services. Ververica with its Platform product and its major contributions to open-source Apache Flink is at the forefront of this development.
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.
Ververica was founded in 2014 by the original creators of the Apache Flink project, and we’re building the next-generation platform for real-time data applications.
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 Ververica, you will take a dual role: being involved in both the open source Apache Flink project, as well as Ververica products. You should be comfortable with taking responsibility for designs and features, and be able to work both self-supervised and in cross-functional teams. 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 via blog posts.
Job ID: 1201171
Come change the way world processes streaming data
The Amazon Web Services (AWS) Kinesis Data Analytics (KDA) team is looking for Engineers to work on Apache Flink framework who are looking to learn and 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 leveraging Apache Flink framework 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.
Work/Life Balance
Our team is family-oriented and values work-life balance. Most days, our entire team is co-located in the Seattle office, but we’re also flexible when people occasionally need to work from home. We generally keep core in-office hours from 10am to 4pm. About half of us come in earlier and the other half of us stay later.
On-Call Responsibility
This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that don’t get paged for the same issue again.
As a member of KDA team you will be:
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 experience with data processing technologies such as Apache Flink, Apache Spark, Apache Storm, Hadoop frameworks is a plus.
Come join us to make stream processing main stream for our customers.
Amazon is closely following the 2019 Novel Coronavirus Disease (COVID-19), and implementing processes that promote the safety of our employees, candidates, customers and communities. Learn more about how we're addressing the evolving situation.
Job ID: 1271048
Come build the future of data streaming with the Amazon Managed Streaming for Kafka (MSK) team!
We are seeking an engineering leader to lead the Cambridge team of the 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 an engineering manager who is enthusiastic about data streaming, and is as passionate about contributing to open source as they are about solving real customers' business needs, at AWS scale.
We are looking for an experienced team leader who is known for delivering results. We expect you to work with other engineering and product leaders in AWS to build a charter for your team, hire and grow your team, own feature planning, and help run operations for the overall service. You will drive priorities for the overall service roadmap, balancing between contributions to the underlying open source platform, changes to Amazon-Internal components and the operational health of the service.
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. They have a strong background in streaming data technologies such as Apache Kafka or Amazon Kinesis. They have experience making or driving open source contributions.
Amazon is an equal opportunity employer – minority / women / disability / veteran / gender identity / sexual orientation / age.
Job ID: 1095281
Come build the future of data streaming with the Amazon Managed Streaming for Kafka (MSK) team!
We are seeking an engineering leader to manage one of the engineering teams in the 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 an engineering manager who is enthusiastic about data streaming, and using open source technologies to solve real customers' business needs, at AWS scale.
Building a High-Performing & Inclusive Team Culture
You should be passionate about attracting & developing a world-class team that welcomes, celebrates, and leverages a diverse set of backgrounds and skill-sets to deliver results. Driving results through others is your primary responsibility, and doing so in a way that builds on our inclusive culture is key to our long term success.
Work/Life Balance
MSK values work-life balance. Most days, our entire team is co-located in the Seattle office, but we’re also flexible when people occasionally need to work from home. We generally keep core in-office hours from 10am to 4pm. About half of us come in earlier and the other half of us stay later. We are builder-operators of our services at AWS and have a modest on-call rotation where you’ll participate once every 2-3 months.
Energizing and Interesting Technical Problems
You will be working on enabling your team to build and operate an open source data streaming platform, Apache Kafka, to make MSK the de facto service to run data streaming applications. Up-stream changes are a key investment in this space, so this is a truly unique role where you’ll get to partner closely with a vibrant open source community to define the features and roadmap. It’s humbling and energizing to integrate the latest open-source technologies with AWS scale.
Mentorship & Career Growth
We’re committed to the growth and development of every member of MSK, and that includes our development managers. You will have the opportunity to contribute to the culture and direction of the entire Data Streaming organization and deliver site-wide initiatives that will improve the life of all of our teams.
MSK is a growth environment - we’re hiring and scaling rapidly to meet the needs of our customers. You’ll have the opportunity to grow your scope of influence naturally as we scale and will have get to hire & develop other leaders along the way.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Engineering Boulder, Colorado San Francisco, California Washington, D.C. Austin, Texas Seattle, Washington San Jose, California
Role:
Splunk has a rich history of unearthing and analyzing customer data to solve their business problems from any angle. As customers scaled, they realized they needed a tool to analyze that data in real time, bring that data together from disparate sources, and transform the data before it becomes searchable.
Splunk’s Data Stream Processor (DSP) allows our customers to continuously collect high-velocity, high-volume data from diverse sources and distribute insights to multiple destinations in milliseconds, using a scaleable, performant, high throughput streaming engine built on top of Flink, both on-premise and in the cloud.
Splunk’s DSP team is looking for Engineers who are excited about data streaming at scale, and contributing to open source projects.
As a member of the DSP core platform team, you will be
Basic Qualifications:
Preferred Qualifications:
What we offer:
Thank you for your interest in Splunk!
http://splk.it/flinkjobs
Engineering London, United Kingdom
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As a System Test Engineer, you will be working on Splunk product system tests, especially on GDI area. GDI is Getting Data In and it’s the most important foundation layer of Splunk to do the data analysis work. The tests you will conduct include but not limited to Large-Scale end to end user scenarios test, kinds of non-functional *-ability test like stability test (aka. Fault injection/chaos test), upgrade/migration test, reliability test, scalability test and etc. You will also need to develop and maintain related tools and test framework.
You will work in a dynamic team of architects and System Engineers with the responsibility to ensure that we deliver high-quality solutions to meet the business needs of Splunk customers. Working experience in the native cloud software delivery environment is a huge plus.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Thank you for your interest in Splunk!
http://splk.it/flinkjobs
Engineering San Francisco, California San Jose, California
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As the Senior Software Development Manager for our Applied Science team you will be responsible for ensuring our new ML algorithms, ML services, and experimentation infrastructure meets all technical and quality standards. Our mathematical models and ML infrastructure underpin Splunk’s core products and you will work with Product Management, and other technical teams within Splunk, to incorporate new requirements related to this advanced ML Platform.
You will lead a team of ML researchers and engineers, who are experts within their own specialty, as we tackle a spectrum of problems across optimization, inference, forecasting, time series modeling, and log mining. You will be working in a multi-office, multi-location development environment, and so prior experience working with local and remote teams or groups will be a big plus.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Thank you for your interest in Splunk!
http://splk.it/flinkjobs
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