This role can be based in London or Liverpool (Hybrid) \nOverview:\n\nWe are seeking a highly skilled and experienced software engineer with a strong background in Python and Node.js to join our team. The ideal candidate will have experience working with video and audio. Experience in machine learning frameworks is desirable but not essential. Familiarity with containerization technology like Docker will significantly contribute to our projects. This role could be fully remote (with occasional in-person meet-ups) or based out of our London or Liverpool offices.\n\n \nAbout the Team:\n\nThe PlayStation Studios SHIP team develops, maintains and supports a web portal encompassing a variety of web applications and other tools to meet the needs of first-party game development studios and many other internal groups. These include custom deployments of standard applications such as git repos and Jira bug trackers as well as in-house technology to support tasks such as art reviews and user experience testing. The team is mostly based in the USA with a small UK presence.\n\n \nKey Responsibilities\n\n\n* Design, develop, and implement software solutions to analyse video, audio, and other input streams\n\n* Create efficient algorithms for processing and interpreting log data\n\n* Leverage machine learning technologies to interpret complex data from various sources.\n\n* Collaborate with cross-functional teams to gather requirements, design system architecture, and integrate new features.\n\n* Apply expertise in Python and Node.js to integrate with RESTful APIs.\n\n* Ensure the reliability and performance of all tools and applications by implementing best practices for testing, including unit, integration, and acceptance tests.\n\n* Use Docker and other containerisation technologies for consistent development, testing, and deployment environments.\n\n\n\nBasic Qualifications\n\n\n* Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).\n\n* Minimum of 7 years of professional experience in software development with a focus on Python and Node.js.\n\n* Experience with Docker and a solid understanding of containerization principles.\n\n* Familiarity with Agile/Scrum processes and project management tools such as Jira.\n\n* Comfortable working with teams in other time zones.\n\n* Advanced proficiency with Linux\n\n\n\nPreferred Qualifications\n\n\n* Experience with multi-media processing and analysis.\n\n* Strong understanding and practical experience with machine learning frameworks (e.g. TensorFlow, PyTorch).\n\n* Strong problem-solving skills and the ability to work on complex issues.\n\n* Ability to communicate effectively and collaborate with key stakeholders from different backgrounds and disciplines.\n\n* Leadership skills with a track record of leading projects to successful completion.\n\n* Experience in developing tools and workflows that enhance the productivity of technical teams.\n\n* Proficient with SQL database design, implementation and optimisation.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Docker, Git, Senior and Engineer jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLondon, England, United Kingdom
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This job post is closed and the position is probably filled. Please do not apply. Work for Platform.sh and want to re-open this job? Use the edit link in the email when you posted the job!
Mission \n\nTo reinforce our technical prowess, we are looking to grow our operations team. If you’re looking for an exciting, high-growth opportunity with an award-winning, cutting-edge company, this could be just the job for you\n\nFor its PaaS solution https://platform.sh is looking for an Operations and Service Reliability Engineer with a taste for Python and Go, great Linux system understanding, and a real hunger for the challenges of building robust, distributed systems.\n\nPlatform.sh is a PaaS shrouded in a lot of black magic (we can consistently clone a whole running cluster, with its state, databases, indexes in a matter of seconds). We want to get this down to the hundreds of milliseconds domain. Interested? There is more...\n\nOur external API is pure Hypermedia REST + oAuth on top of Pyramid. It mechanizes the Git layer and needs more features.\n\nWe can consistently generate from the same manifest a Docker container, an LXC one, or VM disk images (AWS, Azure, OpenStack), we want more targets.\n\nWe probably have the highest industry container density. We need to get it higher.\n\nWe support any Python, Ruby, NodeJS or PHP, Java and .NET, time to roll-out Elixir, of course, Elixir (and Rust. We need Rust).\n\nWe need to have more auto-healing on the high-availability clusters. We need more performance out of our multi-protocol ssh proxy. We need work on our Ceph Implementation. We need to get the Debian package generation streamlined and faster. We need… great ideas on how to make Platform.sh even better.\n\n\nAbout Platform.sh \n\nPlatform.sh is an idea-to-cloud application platform that simplifies cloud infrastructures.\n\nWe give developers the tools they need to experiment, innovate, get rapid feedback and deliver better-quality features with speed and confidence thanks to our unique rapid cloning technology.\n\nPlatform.sh serves thousands of customers worldwide including The Financial Times, Gap, Magento Commerce, Orange, Hachette, Ikea, Stanford University, Harvard University, The British Council, and Lufthansa.\n\nWe want people who are passionate, open, multicultural, friendly, humble and smart to join us and help this fast-growing, award-winning company to revolutionize the tech industry.\n\n# Responsibilities\n
Directly reporting to our VP of Infrastructure and in close interaction with our Engineering and Customer Support teams, you will be responsible for:\n\n* cloud operations: configure clusters, deploy stuff, follow-up on alerts, help customer support debug issues.\n* automating all of the above so they can instead drink margaritas (or non-alcoholic beverages, of course)\n* creating systems, tools & processes that will enhance our support and operations efficiency\n* improving service quality, discipline and reliability throughout lifecycle\n* monitoring operating objectives, streamline and automate intervention\n* continuous learning from Operations experience, modeled as software\n \n\n# Requirements\nThe ideal candidate:\n\nhas proven successful experience in an operations role,\nhas demonstrated the ability to successfully manage cloud-based infrastructure for a fast growing organization\nhas experience with containerization technologies\nhas had exposure to cloud services (AWS)\nunderstands how an OS works, knows networking, how git works, and the constraints of a distributed system\nPuppet experience\nis proficient in Python (Golang a plus)\n\nNice to have :\n\nknowledge of Magento Ecommerce, Symfony, Drupal, eZ Platform, or Typo3\nrelational database skills\npublic speaking experience\nability to kick ass in Chess\nproficiency in Rust grants you bonus points\nNote: We don't like stress, so we build everything to be robust and resiliant, but stuff does break. This is a role with on-call duties. If page-duty fills you with dread... well, this might not be a fit. \n\nPlease mention the words **MERIT APOLOGY SHOVE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMzc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to DevOps, Cloud, Python, Docker, Java, Git, API, Engineer and Linux jobs that are similar:\n\n
$70,000 — $120,000/year\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Doximity and want to re-open this job? Use the edit link in the email when you posted the job!
Why work at Doximity?\n\nDoximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.\n\nSkills & Requirements\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nWhat you can expect\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nTechnical Stack\n\n-We historically favor Python and MySQL (SQLAlchemy), but leverage other tools when appropriate for the job at hand.\n-Machine learning (linear/logistic regression, ensemble models, boosted models, deep learning models, clustering, NLP, text categorization, user modeling, collaborative filtering, topic modeling, etc) via industry-standard packages (sklearn, Keras, NLTK, Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).\n-A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.\n-Storage solutions: Percona, Redshift, S3, HDFS, Hive, Neo4j, and Elasticsearch.\n-Computational resources: EC2, Spark.\n-Workflow management: Airflow.\n\nFun facts about the Data Science team\n\n-We have one of the richest healthcare datasets in the world.\n-We build code that addresses user needs, solves business problems, and streamlines internal processes.\n-The members of our team bring a diverse set of technical and cultural backgrounds.\n-Business decisions at Doximity are driven by our data, analyses, and insights.\n-Hundreds of thousands of healthcare professionals will utilize the products you build.\n-A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.\n-We like to have fun - company outings, team lunches, and happy hours! \n\nPlease mention the words **WAVE SPOT WORTH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMzc=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Git, Python, Machine Learning, Data Science, Engineer, Linux, Docker and Apache jobs that are similar:\n\n
$80,000 — $122,500/year\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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