Golang Open Systems AG Jobs Paying 50,000 USD a Year
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10 of 612 Open Systems AG Jobs paying at least
50,000 USD per year • Sort by
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Go SDK Engineer Okta San Francisco, United States / Remote (United States) $100,000 to $220,000 a year
December 2020
2 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
Okta's Developer Experience team is looking for an experienced engineer with a love for the Go language, and a desire to work on open source SDKs that will delight our developer community. In this role you will have influence over our Go community strategy, which has a large base of developers working in the Dev Ops arena. Developers building on Okta want tools, written in Go, to facilitate their roll out of applications that leverage Okta as the underlying identity platform.
We currently offer a Go Management SDK, and a Terraform provider. In this role you will have ownership over these SDKs, as well as future SDKs that we create.
Okta's identity platform allows developers at companies of all sizes to integrate modern authentication features and workflows into their own applications. The Developer Experience team is responsible for sharing the love with those developers by identifying common use cases and creating tools and SDKs that make their lives easier, while helping them understand our product and the protocols that we support.
In this role you will be working on the leading edge of our Open Source Software (OSS) program and will gain invaluable experience with library design and development, as well as interacting with a community of engaged developers who use your work on a daily basis. Your code will see production scale usage at many companies, being embedded directly into applications and services that enable internet scale applications with large numbers of end users. This role provides the opportunity to design right, code right, and test right, and deepen your knowledge of the Go ecosystem.
We are a polyglot team and while we are looking for a lover of Go, we also value a generalist mindset and co-learning across stacks. We work closely as a team to design solutions that work across languages and environments.
Design and build software development kits (SDKs), written in Go, for developers using the Okta APIs within their web applications and CI/CD workflows.
Interact with developers through GitHub on our open-source repositories, responding to issues and reviewing pull requests
Participate in software design and code review for all libraries that the team creates
Implement holistic testing strategies to assert we're delivering a good developer experience, including unit, integration, and end-to-end tests
Write documentation and how-to content for the libraries that you create
Minimum Skills:
4+ years working as a full-stack web developer (you've written production code, been exposed to backend and frontend problems, have experience deploying your applications, and can empathize with developers across the stack.)
Intermediate to advanced knowledge of the Go language
Experience with unit and end-to-end testing
Experience working with a product-oriented, agile culture
Bonus Skills:
Hands-on experience with CI/CD tools such as Ansible, Chef, Puppet, Terraform
Expertise in other languages, such as Java and Python
Experience interacting with other developers on GitHub (e.g. opening issues, contributing to issues, contributing pull requests)
Experience building libraries or tools that are used by other developers, either internally within your company or externally on pubic repositories
Senior Software Engineer Grail London, United Kingdom £80,000 to £110,000 a year
September 2020
15 Applicants This Week
More Than 6 Months Old
Job Description
Software Engineers
GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit www.grail.com.
GRAIL UK is looking for experienced software engineers, senior software engineers, and staff software engineers to join the team in London. The engineering team is responsible for supporting the collaborative efforts between GRAIL and its research partners (NHS/UCL). You will work as part of a cross-functional team to design, develop and run systems that power the safe execution of clinical workflows and the collection of relevant data. Your work will support cancer research and the development of GRAILs multi-cancer early detection blood test.
You Will:
Use your experience developing front-end applications and backend systems to build software that supports cancer research
Work as part of a cross-functional team to overcome real-world problems that sometimes can’t be solved with software alone.
Build and operate the infrastructure and tooling that runs the systems and powers the team.
Work with GRAIL engineers in the United States on core platforms.
Take responsibility for the systems managed by the team and support the operational concerns of our research partners.
Your Background Includes:
You have a Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, Bioinformatics or similar technical field.
You have relevant work experience designing, developing, testing and maintaining software.
You have worked with cloud platforms such as AWS, GCP, or Microsoft Azure.
You are experienced in general-purpose programming languages such as Go, Python, Java, Javascript, etc, but understand that ultimately these are tools to solve problems.
You are passionate about software engineering, as well as software engineering teams.
You have excellent logical reasoning and analytical skills, with a preference for simple solutions.
You are a strong written and verbal communicator and can adapt your communication style and the level of detail to your audience.
Machine Learning Engineer Back Berlin, Germany €60,000 to €80,000 a year
July 2020
1 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
Back is a young software company from Berlin with the mission to enable companies to focus on what they do best. We’re building a collaboration and automation platform to untangle repetitive questions and workflows around the workplace.
You will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.
This position is based in our growing HQ in Berlin.
🔨 What you will do
You will take ownership of automation features from the beginning - understanding the problem - to the end - deploying the model on production -.
You will setup the environment to speed up our machine learning development.
You will implement and tune state-of-the-art ML models to get the best results given the available data.
You will effectively communicate and document your approach, progress, results and challenges with the team.
You will help us grow the machine learning team: enforce best practices, interview candidate, etc.
👩🔬 Who are we looking for
You can quickly grasp the business context of the problem and using your knowledge of how the model is going to be used, you can choose the right evaluation metric.
You can dig deep into the data to choose the right dataset split and identify pitfalls arising from non-iid samples.
You can combining both your practical and theoretical ML knowledge to set the right priorities when choosing which idea or approach to try next.
You find the simplest solution to solve complex problems programmatically.
You find joy in delivering features to your customer rather than doing academic research.
You like to work in a team and challenge your choices with your peers.
🦾 What challenges will you face
You'll work on complex NLP problems touching multiple domains: multiple language understanding and feature extraction.
You'll work on unbalanced datasets, not all our customers are the same size.
Our customers have different processes, different vocabulary. You will face dual-domain adaptation problems.
The good news: our application generates labeled data and we capture all the signals of our users' interactions, so you'll focus on training models, not labelling data. Yeah!
🏅Our engineering values
Radical honesty
We discuss problems and mistakes in the open, with the team, to share our knowledge, opinion, and find the best solutions to make sure they do not happen again.
We discuss behavioral or personal problems in private, only with the people being involved.
Our discussions focus on the problem, not on people. People are rarely the problem and we always assume good faith.
Radical transparency
We do not hide anything inside and outside the team. We voluntarily and constantly share our successes, our mistakes, and our progress.
Radical open-mindedness
We share our knowledge and experience to find the best solutions as a team, never to be right or the smartest in the room.
We share our opinion only when we have the willingness to change it.
Radical pragmatism
We design strategic solutions with a growth mindset. We seek for solutions driving progress at the fastest pace and lowest cost to create progressive long-lasting impact.
We refuse dogma. We make the best decision for ourselves, in our context.
Customer-first
We consider success as having a high customer impact and satisfaction.
Each decision we make must have sooner or later a positive impact on our customers.
We privilege customer satisfaction over our comfort.
We refuse to compromise the quality of our product and customer experience.
Camaraderie
There is no place for competition or ego.
We thrive at helping each other and sharing knowledge to contribute to everyone’s growth.
🚀 Why Back?
You’ll join a company that believes in a strong engineering culture. We use modern technologies, best practices, within a team of smart people who want to change the way people work.
You’ll have the opportunity to build great infrastructure. You can be as creative as you want as long as it creates a better product.
You'll work on a modern and robust stack: Go, gRPC, Protobuf, Python, GraphQL, Typescript and React.
You will team up with the founders to create a great product with your signature on it.
We love open-source and will support you in the process of contributing to libraries we use or open-sourcing some of our work.
You’ll join a company at an early stage and you will receive an attractive package containing salary and shares.
You'll join an amazing team who loves food. Want to know who could be your future colleagues? Have a look here.
At Netflix, we strive to bring joy to people across the world through amazing stories. As we grow internationally, we are continually enhancing our cloud-based infrastructure to improve our performance, scalability, and reliability.
The SRE team's goal is to ensure customer joy by successfully managing risk and minimizing impact across Netflix. We do this through cross-functional engagement with other engineering teams, managing issues when they happen, as well as promoting reliability and resilience practices throughout the organization.
Outcomes
Improve our incident management lifecycle to identify, mitigate, and learn from reliability risks
Increase our reliability through establishing guidance and methods of improvement
Form and maintain relationships with internal and external partners
Develop deeper insights and analysis into the quality of experience for our customers
We Value
Curiosity about how complex sociotechnical systems successfully operate at scale when failure is inevitable
People who see influence as their preferred tool for cultivating relationships
Collaboration and continuous improvement
A desire to learn and readiness to teach
Iteration as the path forward
Our Work
Drive incidents to resolution by coordinating with multiple engineering teams
Identify sources of instability in large-scale distributed systems and drive operational excellence
Analyze complex systems from a reliability and resilience perspective
Engage with product teams to diagnose operational surprises and carry forward improvements
Improve reliability and drive down the burden of toil with tooling and automation
Nice to Have
Experience with global, continuous delivery methods
Development with Python, Go, Java, or JavaScript/Node.js
Involvement with incident management and response
Knowledge of cloud platforms like AWS and microservices architecture
Blockchain Developer Spacemesh Remote $100,000 to $120,000 a year
April 2020
1 Applicants This Week
More Than 6 Months Old
Job Description
Spacemesh is a fairly mined cryptocurrency which is permissionless, trustless, secure and race-free. Spacemesh is built and distributed as a full open source project and all software work done for Spacemesh is contributed to the world as a commons under a permissive software license.
We are looking for a strong software developer who is passionate about the blockchain space, enjoys designing and writing software, who'd like to join the Spacemesh core dev team and work full time on the core Spacemesh software platform. Join us at the forefront of the next major tech disruption - programmable Internet money via decentralized consensus on computations.
We work in a flat, open organization where each team member is responsible to his peers for the quality and the delivery of major platform components, participates as an equal in all software design discussions and works closely with the Spacemesh researches and the open source community.
This is a full-time position is WFH / remote.
Responsibilities
Own the design, implementation and maintenance of one or more core software components of the Spacemesh cryptocurrency.
Work closely with other core developers on the team and with our research team on the design of Spacemesh software components.
Must haves
Good command of the GO programming language.
B.Sc. in Computer Science.
Good spoken English communications skills.
2 years of prior work experience (not necessarily in the blockchain space)
Fast learner, able to quickly learn the applicable complex and new technologies.
Possess a combination of exceptional algorithmic/theoretic CS skills, strong hands-on system programming skills and the mentality and capability to start writing production-quality code in GO programming language quickly.
Nice to haves
Familiarity with blockchain tech.
Participation in open source projects.
Experienced with designing and developing network protocols.
M.Sc. in Computer Science or equivalent.
Familiarity with applied cryptography.
Think you are a good fit and excited to hear more? We'd love to hear from you. Please send your resume to core-dev@spacemesh.io
GRT is carefully searching for new Systems/DevOps candidates for a high profile, global commerce engagement.
GRT’s search for this new person is focused with all of our past success factors in mind. We are looking for a solid foundation of technology understanding and work/school experience; we are also equally interested in promising communication skills, and growth potential of any candidate.
Skills & Requirements
Required Background
Computer Science and/or Engineering related academic study
Minimum of 3-4 years on the job, industry based work experience. (academic period work applicable)
Self motivated individual/leader looking for challenging work material in a dynamic team environment. Strong communication skills a must with abilities to interact with both technical and non-techical client personnel.
Preferred Skills (some subset of the following concepts as applies to different roles):
Experience in golang.
Experience with CDNs
Experience with scripting languages (Perl, Python, Ruby) within UNIX and Linux environments.
Experience with build systems (Docker, Jenkins, Ant, Maven, etc)
Strong background in Unix (e.g., Linux) and Mac OSX environments
Chef Server & Automation Platform
SQL and Relational DB Knowledge (MySQL, Oracle, etc.)
Building and maintaining continuous integration systems.
Developing internal tools and workflows for large dev teams.
Systems integration with third party and in-house systems
Node.js exposure and development expertise is a plus.
At source{d} we are building the technology stack for the next generation of Machine Learning powered developer tools. We are an open-core company built around our Open Source projects. We have raised over ten million USD so far, and we are currently growing our team.
This position is open to those wishing to work remotely between the San Francisco and Moscow Timezones as well as those who want to work from our Madrid Office.
Role
This position is for a Lead Engineer in the Infrastructure team. The team has currently 3 members.
The Infrastructure team manages multiple clusters:
Pipeline clusters, built on bare metal servers at a hosting provider. It has more than 1000 threads, more than 6TB of RAM and 500TB of storage, and it is backed by CoreOS and Kubernetes. It has two main goals: on the one hand, it stores all the available public code in a distributed filesystem and on the other hand, it runs intensive computation jobs over the stored data on top of Apache Spark.
Machine Learning research cluster, built on bare metal servers at our Madrid office. It is backed by CoreOS and Kubernetes too and it has GPUs available on every server to run deep learning algorithms.
Multiple Google Kubernetes Engine clusters for public-facing services. All clusters are managed with Terraform, Kubernetes and Helm.
The team also maintains several services such as databases, queues, continuous integration, monitoring, logging, etc.
At source{d}, we care about Open Source, which is why we as the infrastructure team we contribute to projects such as Terraform & CoreOS and create our own. We maintain the official Terraform provider for Helm (terraform-provider-helm).
We are looking for someone with a background in Linux, networking and containers, passion for automation and experience working at scale. Finally, knowledge of at least one backend/scripting language who cares about best development practices.
Golang Engineer Seldon London, United Kingdom £40,000 to £60,000 a year
October 2019
1 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
Seldon is looking for a Golang Developer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core and Alibi. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
Your role at Seldon would be:
Design and build scalable ML solutions on top of the open source and enterprise Seldon products
Deliver end-to-end technical expertise throughout the lifecycle of enterprise client-facing projects
Required skills:
A degree or higher level academic background in a scientific or engineering subject.
Strong computer science and system architecture foundations.
Familiarity with linux based development.
Experience architecting/applying technology to solive real world challenges.
Senior Software Engineer Helix San Diego / San Mateo, United States $155,000 to $205,000 a year
October 2019
4 Applicants This Week
More Than 6 Months Old
Job Description
It’s our mission to empower every person to improve their life through DNA. We believe DNA will be digitally accessible to each person so that it can be used—at any time—to improve health outcomes and accelerate research.
Helix powers life-changing population health programs. Our world-class clinical laboratory platform and proprietary Exome+ assay enable health systems to integrate genomic information into routine clinical care and enhance the accessibility of personalized healthcare. Additionally, Helix stores and protects participants’ DNA information, so that as the science evolves, health systems, patients and researchers are able to continuously benefit from a lifetime of DNA insights.
Our big vision comes with big responsibility. That’s why we’re building a diverse team of experts in the field of genetics, engineering, design, business development, and beyond to help bring actionable insights to our customers.
What’s important to us:
Curiosity — we are all passionate about the possibilities enabled by having access to your own genome
Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products
Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture
Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments
As a Senior Software Engineer, you will:
Design and build high quality enterprise grade software solutions for genomics lab and data pipeline applications.
Collaborate with product managers, bioinformaticians, scientists, regulatory, and other engineers.
Synthesize requirements and author new engineering designs.
Build for reliability and scale across users and health systems.
Advance engineering best practices.
Mentor other engineers to reinforce a culture of learning and teaching.
Required:
A passion for improving people’s lives through access to better information about their DNA
5+ years development experience in one of the following: Go, Python, or a similar language
A proven track record of building software solutions for managing and processing large datasets
Strong written and verbal communication skills
Familiarity with developing software on cloud platforms — AWS, GCP, Azure
Affinity for an engineering culture that emphasizes Agile, DevOps, and continuous delivery
Pluses:
Familiarity with full-stack development
Familiarity with regulated software systems and entities
BS+ in Computer Science; coursework in genetics or bioinformatics
What Helix can offer you:
Competitive compensation, including meaningful equity
401(k) with employer matching
Health insurance, including medical, dental, and vision
Platform Engineer Watchtower AI San Francisco, United States $120,000 to $200,000 a year
September 2019
1 Applicants This Week
More Than 6 Months Old
Job Description
As an early Platform Engineer at Watchtower, you’ll enable us to deliver our platform reliably, securely, and at massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale.
Responsibilities:
Building highly-available and secure authentication and API services
Maintaining and evolving mission-critical internal databases and services
Optimizing and operating high volume auto-scaling streaming data services
Instrumenting streaming data services for visibility into utilization per customer
Qualifications:
Expertise in one or more systems/high-level programming language (e.g. Go, Rust, Python, Java, C++) and the eagerness to learn more.
Eagerness to wear multiple hats in a startup environment
Experience running scalable (thousands of RPS) and reliable (five 9’s) systems.
Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability.
Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. Cassandra, CockroachDB, Spanner)
Ability to decompose complex business problems and lead a team in solving them
Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper
Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website www.watchtower.ai or by reaching out via email at careers@watchtower.ai.