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Chainlink Labs


closed
🌏 Worldwide
 
πŸ’° $100k - $200k

dev

 

smart contracts

 

golang

 
This job post is closed and the position is probably filled. Please do not apply.
**All roles with Chainlink Labs are globally remote based. We encourage you to apply regardless of your location.**\n\nAs a Solutions Engineer, you will lead integrations with upcoming blockchains into the Chainlink platform, working directly, and building relationships with the founding engineers while learning about each new innovative blockchain platform. Today, most blockchains are their own ecosystems, but this is about to change: cross-blockchain connectivity is set to be the next growth opportunity, with network effects compounding when leveraging the strengths of each blockchain. You will be the driving force for owning this initiative and will make a large impact on the growth of a critical piece of blockchain infrastructure.\n\n**Your Impact**\n\n* Interface with leadership, customers, users, and the community to implement seamless integrations to allow for the exponential growth of the network\n* Lead cutting edge blockchain platform integrations\n* Manage the technical aspects of integrating Chainlink with blockchains\n* Build token bridges between blockchains utilizing the Chainlink network\n* Work closely with node operators to connect their Chainlink nodes to other blockchains\n* Develop best practices and documentation to scale integrations\n\n**Requirements**\n\n* 2+ years of professional experience working in a product-driven environment\n* Experience in Golang or Rust; otherwise experience in JS, Ruby, Python, C++, C, or Solidity and a willingness to learn\n* Resourceful developer and fast learner continually striving to discover more environments\n* Ability to write and communicate effectively\n* Eagerness to work openly and collaboratively with a diverse team\n* Experience in blockchain and other Web 3.0 technologies\n* Comfort and/or experience working as a remote employee as a part of a distributed team\n\n**Our Stack**\n\nGolang, TypeScript, Solidity, Postgres, Terraform, AWS\n\n**About Us**\n\nChainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the [Chainlink 2.0 whitepaper](https://research.chain.link/whitepaper-v2.pdf). Chainlink is trusted by hundreds of organizationsβ€”from global enterprises to projects at the forefront of the blockchain economyβ€”to deliver definitive truth via secure, reliable data. \n\nThis role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).\n\nWe are a fully distributed team and have the tools and benefits to support you in your remote work environment.\n\nChainlink Labs is an Equal Opportunity Employer. \n\n#Salary and compensation\n$100,000 — $200,000/year\n\n\n#Location\n🌏 Worldwide


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Chainlink Labs

 This job is getting a pretty high amount of applications right now (12% of viewers clicked Apply)

closed
🌏 Worldwide
 
πŸ’° $100k - $200k

smart contracts

 

dev

 

golang

 
This job post is closed and the position is probably filled. Please do not apply.
**All roles with Chainlink Labs are globally remote based. We encourage you to apply regardless of your location.**\n\nIn this quality assurance role, you will oversee the design, development, and implementation of our test automation framework. You will have a large impact as we grow the Chainlink eco-system and ensure we continue to ship the highest quality product. As a key stakeholder, you will be able to influence how we will scale our product in a testable environment and guide decisions that will have an impact on the future and success of a cutting edge product. \n\n**Your Impact**\n\n* Lead the implementation and adoption of a test automation framework, improved release process, and overall testing plans\n* Oversee and develop test cases, plans, and testing procedures\n* Create automated tests for new and existing functionality\n* Develop test plans and perform multiple types of black-box, white-box, and grey-box testing including functional, system, end to end, load testing, performance testing, data integrity, smoke, regression, and ad hoc testing\n* Submit comprehensive defects using our bug tracking system\n* Regress and verify defects as needed, record test results, and provide metrics\n* Test software applications at all points in the life cycle on multiple environments\n\n**Requirements**\n\n* 2+ years proven work experience in Software Engineering, Test, Quality Assurance, or Deployment\n* BS degree or equivalent work experience in Computer Science or related field\n* Strong experience with modern languages such as JavaScript, TypeScript, Golang, etc.\n* Strong experience with open-source test frameworks, including CypressJS or Selenium/WebDriver\n* Strong experience with build automation technologies like Jenkins, CircleCI, GitHub Actions, etc. \n* Experience with AWS, Docker, or Terraform a definite plus\n* Experience with Agile-Scrum and other Agile methodologies\n* Experience with load testing tools\n* Excellent analytical skills to work with developers for troubleshooting and peer review\n* Effective written and verbal communications skills\n* The ideal candidate will be comfortable with shaping testing culture and socializing best practices\n\n**Our Stack**\n\nGolang, TypeScript, Solidity, Postgres, Terraform, AWS\n\n**About Us**\n\nChainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the [Chainlink 2.0 whitepaper](https://research.chain.link/whitepaper-v2.pdf). Chainlink is trusted by hundreds of organizationsβ€”from global enterprises to projects at the forefront of the blockchain economyβ€”to deliver definitive truth via secure, reliable data. \n\nThis role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).\n\nWe are a fully distributed team and have the tools and benefits to support you in your remote work environment.\n\nChainlink Labs is an Equal Opportunity Employer.\n \n\n#Salary and compensation\n$100,000 — $200,000/year\n\n\n#Location\n🌏 Worldwide


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Shopify


verified closed
United States, Canada

staff software developer

 

data platform engineering

 

data engineering

 

spark

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nShopify is the leading omni-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes. \n\n**Job Description**\n\nOur Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:\n\n* The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.\n* The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future? \n* The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.\n* The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.\n\n**Qualifications**\n\n* An experienced technical leader with a proven track record of delivering impactful results.\n* Technical engineering background in one or more areas in the next section.\n* Experience with technical mentoring, coaching, and improving the technical output of the people around you.\n* Exceptional communication skills and ability to translate technical concepts into easy to understand language for our stakeholders. \n* Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.\n\n**A Staff Data Developer would typically have 6-10 years of experience in one or more of the following areas:**\n\n* Experience with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)\n* Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL)\n* Experience with cloud infrastructure (Google Cloud, Kubernetes, Terraform\n* Experience with security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)\n* Experience deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)\n* Experience building full-stack applications (Ruby/Rails, React, TypeScript)\n* Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)\n* Modern Big-Data storage technologies (Iceberg, Hudi, Delta)\n\n**Additional information**\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.\n\n#Location\nUnited States, Canada


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Shopify

 This job is getting a pretty high amount of applications right now (11% of viewers clicked Apply)

verified closed
Canada, United States

senior data engineer

 

data engineering

 

data platform engineering

 

spark

This job post is closed and the position is probably filled. Please do not apply.
**Company Description**\n\nShopify is the leading omni-channel commerce platform. Merchants use Shopify to design, set up, and manage their stores across multiple sales channels, including mobile, web, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides merchants with a powerful back-office and a single view of their business, from payments to shipping. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes. \n\n**Job Description**\n\nOur Data Platform Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for over a million merchants. We’re hiring high-impact developers across teams:\n\n* The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security + quality of our datasets.\n* The Analytics group builds products that leverage the Engine primitives to deliver simple and useful products that power scalable transformation of data at Shopify in batch, or streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future? \n* The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.\n* The Reliability group operates the data platform efficiently in a consistent and reliable manner. They build tools for other teams at Data Platform to leverage to encourage consistency and they champion reliability across the platform.\n\n**Qualifications**\n\nWhile our teams value specialized skills, they've also got a lot in common. We're looking for a(n): \n\n* High-energy self-starter with experience and passion for data and big data scale processing. You enjoy working in fast-paced environments and love making an impact. \n* Exceptional communicator with the ability to translate technical concepts into easy to understand language for our stakeholders. \n* Excitement for working with a remote team; you value collaborating on problems, asking questions, delivering feedback, and supporting others in their goals whether they are in your vicinity or entire cities apart.\n* Solid software engineer: experienced in building and maintaining systems at scale.\n\n**A Senior Data Developer at Shopify typically has 4-6 years of experience in one or more of the following areas:**\n\n* Working with the internals of a distributed compute engine (Spark, Presto, DBT, or Flink/Beam)\n* Query optimization, resource allocation and management, and data lake performance (Presto, SQL) \n* Cloud infrastructure (Google Cloud, Kubernetes, Terraform)\n* Security products and methods (Apache Ranger, Apache Knox, OAuth, IAM, Kerberos)\n* Deploying and scaling ML solutions using open-source frameworks (MLFlow, TFX, H2O, etc.)\n* Building full-stack applications (Ruby/Rails, React, TypeScript)\n* Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.)\n* Modern Big-Data storage technologies (Iceberg, Hudi, Delta)\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.\n\n\n\n#Location\nCanada, United States


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# How do you apply?\n\nThis job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
This job post is closed and the position is probably filled. Please do not apply.
# We're building the Data Platform of the Future\nJoin us if you want to rethink the way organizations interact with data. We are a **developer-first company**, committed to building around open protocols and delivering the best experience possible for data consumers and publishers.\n\nSplitgraph is a **seed-stage, venture-funded startup hiring its initial team**. The two co-founders are looking to grow the team to five or six people. This is an opportunity to make a big impact on an agile team while working closely with the\nfounders.\n\nSplitgraph is a **remote-first organization**. The founders are based in the UK, and the company is incorporated in both USA and UK. Candidates are welcome to apply from any geography. We want to work with the most talented, thoughtful and productive engineers in the world.\n# Open Positions\n**Data Engineers welcome!** The job titles have "Software Engineer" in them, but at Splitgraph there's a lot of overlap \nbetween data and software engineering. We welcome candidates from all engineering backgrounds.\n\n[Senior Software Engineer - Backend (mainly Python)](https://www.notion.so/splitgraph/Senior-Software-Engineer-Backend-2a2f9e278ba347069bf2566950857250)\n\n[Senior Software Engineer - Frontend (mainly TypeScript)](https://www.notion.so/splitgraph/Senior-Software-Engineer-Frontend-6342cd76b0df483a9fd2ab6818070456)\n\nβ†’ [**Apply to Job**](https://4o99daw6ffu.typeform.com/to/ePkNQiDp) ← (same form for both positions)\n\n# What is Splitgraph?\n## **Open Source Toolkit**\n\n[Our open-source product, sgr,](https://www.github.com/splitgraph/splitgraph) is a tool for building, versioning and querying reproducible datasets. It's inspired by Docker and Git, so it feels familiar. And it's powered by PostgreSQL, so it works seamlessly with existing tools in the Postgres ecosystem. Use Splitgraph to package your data into self-contained\ndata images that you can share with other Splitgraph instances.\n\n## **Splitgraph Cloud**\n\nSplitgraph Cloud is a platform for data cataloging, integration and governance. The user can upload data, connect live databases, or "push" versioned snapshots to it. We give them a unified SQL interface to query that data, a catalog to discover and share it, and tools to build/push/pull it.\n\n# Learn More About Us\n\n- Listen to our interview on the [Software Engineering Daily podcast](https://softwareengineeringdaily.com/2020/11/06/splitgraph-data-catalog-and-proxy-with-miles-richardson/)\n\n- Watch our co-founder Artjoms present [Splitgraph at the Bay Area ClickHouse meetup](https://www.youtube.com/watch?v=44CDs7hJTho)\n\n- Read our HN/Reddit posts ([one](https://news.ycombinator.com/item?id=24233948) [two](https://news.ycombinator.com/item?id=23769420) [three](https://news.ycombinator.com/item?id=23627066) [four](https://old.reddit.com/r/datasets/comments/icty0r/we_made_40k_open_government_datasets_queryable/))\n\n- [Read our blog](https://www.splitgraph.com/blog)\n\n- Read the slides from our early (2018) presentations: ["Docker for Data"](https://www.slideshare.net/splitgraph/splitgraph-docker-for-data-119112722), [AHL Meetup](https://www.slideshare.net/splitgraph/splitgraph-ahl-talk)\n\n- [Follow us on Twitter](https://ww.twitter.com/splitgraph)\n\n- [Find us on GitHub](https://www.github.com/splitgraph)\n\n- [Chat with us in our community Discord](https://discord.gg/eFEFRKm)\n\n- Explore the [public data catalog](https://www.splitgraph.com/explore) where we index 40k+ datasets\n\n# How We Work: What's our stack look like?\n\nWe prioritize developer experience and productivity. We resent repetition and inefficiency, and we never hesitate to automate the things that cause us friction. Here's a sampling of the languages and tools we work with:\n\n- **[Python](https://www.python.org/) for the backend.** Our [core open source](https://www.github.com/splitgraph/splitgraph) tech is written in Python (with [a bit of C](https://github.com/splitgraph/Multicorn) to make it more interesting), as well as most of our backend code. The Python code powers everything from authentication routines to database migrations. We use the latest version and tools like [pytest](https://docs.pytest.org/en/stable/), [mypy](https://github.com/python/mypy) and [Poetry](https://python-poetry.org/) to help us write quality software.\n\n- **[TypeScript](https://www.typescriptlang.org/) for the web stack.** We use TypeScript throughout our web stack. On the frontend we use [React](https://reactjs.org/) with [next.js](https://nextjs.org/). For data fetching we use [apollo-client](https://www.apollographql.com/docs/react/) with fully-typed GraphQL queries auto-generated by [graphql-codegen](https://graphql-code-generator.com/) based on the schema that [Postgraphile](https://www.graphile.org/postgraphile) creates by introspecting the database.\n\n- [**PostgreSQL](https://www.postgresql.org/) for the database, because of course.** Splitgraph is a company built around Postgres, so of course we are going to use it for our own database. In fact, we actually have three databases. We have `auth-db` for storing sensitive data, `registry-db` which acts as a [Splitgraph peer](https://www.splitgraph.com/docs/publishing-data/push-data) so users can push Splitgraph images to it using [sgr](https://www.github.com/splitgraph/splitgraph), and `cloud-db` where we store the schemata that Postgraphile uses to autogenerate the GraphQL server.\n\n- [**PL/pgSQL](https://www.postgresql.org/docs/current/plpgsql.html) and [PL/Python](https://www.postgresql.org/docs/current/plpython.html) for stored procedures.** We define a lot of core business logic directly in the database as stored procedures, which are ultimately [exposed by Postgraphile as GraphQL endpoints](https://www.graphile.org/postgraphile/functions/). We find this to be a surprisingly productive way of developing, as it eliminates the need for manually maintaining an API layer between data and code. It presents challenges for testing and maintainability, but we've built tools to help with database migrations and rollbacks, and an end-to-end testing framework that exercises the database routines.\n\n- [**PostgREST](https://postgrest.org/en/v7.0.0/) for auto-generating a REST API for every repository.** We use this excellent library (written in [Haskell](https://www.haskell.org/)) to expose an [OpenAPI](https://github.com/OAI/OpenAPI-Specification)-compatible REST API for every repository on Splitgraph ([example](http://splitgraph.com/mildbyte/complex_dataset/latest/-/api-schema)).\n\n- **Lua ([luajit](https://luajit.org/luajit.html) 5.x), C, and [embedded Python](https://docs.python.org/3/extending/embedding.html) for scripting [PgBouncer](https://www.pgbouncer.org/).** Our main product, the "data delivery network", is a single SQL endpoint where users can query any data on Splitgraph. Really it's a layer of PgBouncer instances orchestrating temporary Postgres databases and proxying queries to them, where we load and cache the data necessary to respond to a query. We've added scripting capabilities to enable things like query rewriting, column masking, authentication, ACL, orchestration, firewalling, etc.\n\n- **[Docker](https://www.docker.com/) for packaging services.** Our CI pipeline builds every commit into about a dozen different Docker images, one for each of our services. A production instance of Splitgraph can be running over 60 different containers (including replicas).\n\n- **[Makefile](https://www.gnu.org/software/make/manual/make.html) and** [docker-compose](https://docs.docker.com/compose/) **for development.** We use [a highly optimized Makefile](https://www.splitgraph.com/blog/makefile) and `docker-compose` so that developers can easily spin-up a stack that mimics production in every way, while keeping it easy to hot reload, run tests, or add new services or configuration.\n\n- **[Nomad](https://www.nomadproject.io/) for deployment and [Terraform](https://www.terraform.io/) for provisioning.** We use Nomad to manage deployments and background tasks. Along with Terraform, we're able to spin up a Splitgraph cluster on AWS, GCP, Scaleway or Azure in just a few minutes.\n\n- **[Airflow](https://airflow.apache.org/) for job orchestration.** We use it to run and monitor jobs that maintain our catalog of [40,000 public datasets](https://www.splitgraph.com/blog/40k-sql-datasets), or ingest other public data into Splitgraph.\n\n- **[Grafana](https://grafana.com/), [Prometheus](https://prometheus.io/), [ElasticSearch](https://www.elastic.co/), and [Kibana](https://www.elastic.co/kibana) for monitoring and metrics.** We believe it's important to self-host fundamental infrastructure like our monitoring stack. We use this to keep tabs on important metrics and the health of all Splitgraph deployments.\n\n- **[Mattermost](https://mattermost.com/) for company chat.** We think it's absolutely bonkers to pay a company like Slack to hold your company communication hostage. That's why we self-host an instance of Mattermost for our internal chat. And of course, we can deploy it and update it with Terraform.\n\n- **[Matomo](https://matomo.org/) for web analytics.** We take privacy seriously, and we try to avoid including any third party scripts on our web pages (currently we include zero). We self-host our analytics because we don't want to share our user data with third parties.\n\n- **[Metabase](https://www.metabase.com/) and [Splitgraph](https://www.splitgraph.com) for BI and [dogfooding](https://en.wikipedia.org/wiki/Eating_your_own_dog_food)**. We use Metabase as a frontend to a Splitgraph instance that connects to Postgres (our internal databases), MySQL (Matomo's database), and ElasticSearch (where we store logs and DDN analytics). We use this as a chance to dogfood our software and produce fancy charts.\n\n- **The occasional best-of-breed SaaS services** **for organization.** As a privacy-conscious, independent-minded company, we try to avoid SaaS services as much as we can. But we still find ourselves unable to resist some of the better products out there. For organization we use tools like [Zoom](https://www.zoom.us) for video calls, [Miro](https://miro.com/) for brainstorming, [Notion](https://www.notion.so) for documentation (you're on it!), [Airtable for workflow management](https://airtable.com/), [PivotalTracker](https://www.pivotaltracker.com/) for ticketing, and [GitLab for dev-ops and CI](https://about.gitlab.com/).\n\n- **Other fun technologies** including [HAProxy](http://www.haproxy.org/), [OpenResty](https://openresty.org/en/), [Varnish](https://varnish-cache.org/), and bash. We don't touch them much because they do their job well and rarely break.\n\n# Life at Splitgraph\n**We are a young company building the initial team.** As an early contributor, you'll have a chance to shape our initial mission, growth and company values.\n\n**We think that remote work is the future**, and that's why we're building a remote-first organization. We chat on [Mattermost](https://mattermost.com/) and have video calls on Zoom. We brainstorm with [Miro](https://miro.com/) and organize with [Notion](https://www.notion.so).\n\n**We try not to take ourselves too seriously**, but we are goal-oriented with an ambitious mission.\n\n**We believe that as a small company, we can out-compete incumbents** by thinking from first principles about how organizations interact with data. We are very competitive.\n\n# Benefits\n- Fully remote\n\n- Flexible working hours\n\n- Generous compensation and equity package\n\n- Opportunity to make high-impact contributions to an agile team\n\n# How to Apply? Questions?\n[**Complete the job application**](https://4o99daw6ffu.typeform.com/to/ePkNQiDp)\n\nIf you have any questions or concerns, feel free to email us at [[email protected]](mailto:[email protected])\n\n#Location\n🌏 Worldwide


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