\nAbout Firework\nJoin Firework – Where Innovation Meets Impact\n\n\nFirework is revolutionizing connected commerce with the world’s most advanced and largest AI-powered video commerce platform, trusted by global brands and leading retailers. We bring the energy of in-store experiences online, transforming how businesses engage, convert, and build lasting customer relationships.\n\n\nAt Firework, you’ll be part of a high-growth, team-centric environment where innovation thrives and collaboration fuels success. Having raised over $235m to date led by investors such as the SoftBank Vision Fund 2 and operating at a global scale, we offer unparalleled opportunities to work cross-functionally, solve complex challenges, and drive meaningful impact in the future of connected digital commerce.\n\n\nIf you’re curious, ambitious, and energized by big ideas, Firework is the place to grow, lead, and shape the next era of online shopping—together.\n\n\nSummary\nOur engineering team is growing! We’re looking for a talented Sr.Backend Engineer to join a small global team who will bring technical expertise and leadership along with hands-on development of backend software development and SaaS solutions. \n\n\n\nWhat you’ll be doing\n* Build scalable AI application infrastructure and services with Python\n* Design and develop REST APIs / GraphQL for data and machine learning services\n* Take full stack ownership by consistently writing production-ready and testable code\n* API / Python runtime latency optimization (Python, SQL, NoSQL, 3rd party APIs)\n* Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability, and performance of systems/ contexts affected when defining technical designs\n* Contribute to a culture of innovation, collaboration, and continuous improvement\n* Take feedback from code review and apply changes to meet standards. Conduct code reviews to provide guidance on engineering best practices and compliance with development procedures\n\n\n\nWe’ll be excited if you have\n* BS or MS in Computer Science or any relevant STEM majors.\n* Production experience with Big Data, NoSQL, and RAG\n* 5+ years developing highly scalable production-grade backend services using Python, Elixir experience is a huge plus but is not required\n* Have worked directly with distributed processing frameworks such as Hadoop, Spark, Beam … or have worked on a backend system that interacts meaningfully with such a framework is a big plus\n* Work autonomously, are excited by new platforms, big data, and machine learning technologies, and will never back down from the challenges of scale\n* Passionate about writing clean and testable code\n* Production experience with generative AI / ML applications\n\n\n\nA BIG PLUS if you have\n* Expertise with video streaming libraries such as FFmpeg or GStreamer\n* Experience working with video/audio codecs\n* Experience working with live streaming encoders and WebRTC\n* Experience working with AI/ML models and applications\n* Experience in building large-scale applications with Python\n* Experience writing GraphQL queries and mutations\n\n\n\n\n\n\nWe are looking for remote candidates based in Canada.\n\n\nThe approximate annual pay range for this role is CAD $125,000 - 160,000. Other factors that impact compensation may include stock options. The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity. Candidates may receive more information from the talent partner.\n\n\nDon’t hold back\nWe understand some candidates may see the above and not apply because they don’t meet all the qualifications. We encourage you to apply anyway; we often find talented candidates that fit many other opportunities we have and look for potential too, not just what you did in the past.  As an equal employment opportunity employer, we are a diverse team that strives for an inclusive environment for all. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, age, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, GraphQL, Python, Video, Engineer and Backend jobs that are similar:\n\n $70,000 — $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\nCanada

\nWe’re a highly skilled team of software engineers who are building an awesome product and moving fast. We value people who take initiatives, and empower everyone at Klue to make a real change in the product or processes. \n\n\nWe are looking for a Senior Backend Engineer to work with our Consumer team to deliver high-quality products in the most efficient way.\n\n\n💡FAQ \n\n\nQ: Klue who?\nA: We’re Klue and from a technical perspective, Klue’s mission is to descale huge amounts of data to the human level, so people can process it and make use of it. Klue is that trusted intermediary, right now it’s proven for sales enablement, but tomorrow it’s all teams enablement.\n\n\nQ: What level of experience are we looking for?\nA: Right now we are looking for a Senior-level Back-end Engineer. \n\n\nQ: What is our development team working on?\nA: As part of our backend team, we are concerned with data storage and retrieval and the infrastructure to enable that. Here’s what our development team is working on and the opportunity for motivated Software Engineers to dig into, alongside us:\n- Big Data - lots of data \n- Ingesting thousands of news articles, web pages, marketing and sales data points per day. The challenge is indexing them for a long period of time and making them searchable and ready for different analysis.\n- Expanding our Rails REST API and offering public APIs to enable integrations.\n- Architect infrastructure for a scalable, resilient and robust service. We are migrating from a monolith architecture to K8S-hosted microservices. \n\n\nQ: What tech stack is this team working with?\nA: Ruby (Rails), Python (Flask), PostgreSQL, Elasticsearch, Redis, GCP, AWS, Tensorflow, Keras, Docker, Kubernetes.\nWe code review all changes, continuously integrate, pay down technical debt, and aim for high automated test coverage. We love microservices and, while we mostly use Python, Ruby, Google Cloud Platform, Linux, JavaScript, and React, new services can be built using whatever tools make sense to get the job done and support our game-changing innovation.\n\n\nQ: Are you HYBRID FRIENDLY 🤩 ?\nA: YES! Hybrid. Best of both worlds (remote & in-office)\nOur main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.\nYou and your team will be in office at least 2 days per week.\n\n\n\nQ: What skills do you bring? \n* Expertise in at least one of the general programming languages, with a strong preference for Ruby on Rails\n* Expertise in relational databases such as PostgreSQL or MySQL\n* Experience in designing REST APIs\n* Experience using NoSQL databases such as Elasticsearch or MongoDB is a plus\n* Experience using Docker, Kubernetes, AWS, GCP is a plus\n* Bonus if you have Data Engineering interest and experience; ETL Pipelines, Snowplow, Snowflake, Big Query Redshift, Airflow, or equivalent.\n\n\n\nQ: What motivates our current team right now?\n* The type of work. Challenging, stimulating and meaningful work. New and relevant tech stack. We know engineers/developers especially want to work on hard technical and innovative problems.\n* The inspiration from skilled and proven leaders.\n* Entrepreneurial fingerprints on what will be a future billion dollar company anchored in Canada.\n* Culture, team, and the work environment.\n* High degree of autonomy and accountability.\n* High degrees of transparency and high quality communication.\n\n\n\nQ: What are the people at Klue like?\n* Builders\n* Intellectually Curious\n* Ambitious\n* Objective Oriented\n* Check us out!\n\n\n\nQ: What about total compensation & benefits?\n* Benefits. We currently have extended health benefits starting on your 1st day.\n* Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year.\n\n\n\n\n$150,000 - $180,000 a yearWe gather compensation benchmarking data across the BC & Canadian Tech Industry and use that data to build a range for our current team and future talent.  Your exact salary is determined by experience level, skill, capabilities, whether or not you select options, and internal pay parity.\nIf you feel like this role is a great fit and have questions about comp, get in touch and we’re happy to discuss further. There is always an ongoing conversation around compensation.\n\n\n⬇️ ⬇️ ⬇️ ⬇️ ⬇️\n\n\n\n\n\n\n\n\nLastly, we take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application. Reach out and let’s see if there is a home here for you now or in the future.\n\n\nWe’ve made a commitment to support and contribute to a diverse environment; on our teams and in our community. We’re early in our journey; we've started employee led resource groups, committed to Pay Up For Progress, and use success profiles for roles instead of 'years of experience'. We continue to scale our efforts as Klue grows. We’re proud to be an equal opportunity employer and have dedicated that commitment to our current and future #kluecrew. During the interview process, please let us know if there is anything we need to make more accessible or accommodate to support you to be successful.\n\n\nAll interviews will be conducted via video calls. We work in a hybrid model of WFH (remote) and in-office. We’re excited to meet you and in the meantime, get to know us:\n\n\n 🌈 Pay Up For Progress & 50 - 30 Challenge & Klue Blog\n✅✅ Win-Loss Acquisition (2023)\n🅰️ Series A (2020)\n🐅 Series B (2021)\n🏆 Culture, culture, culture! \n🎧 Winning as Women & Competitive Enablement Show\n🔍 Glassdoor\n🐝 About Us\n🐥 Twitter\n📸 Instagram\n☕️ LinkedIn\n🦄 Wellfound (AngelList)  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Video, Cloud, NoSQL, Ruby, API, Senior, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/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

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\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, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/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\nSeattle, Washington, United States

\nHere at Volume, we work with the best partners to make decentralized finance protocols valuable. We solve problems of protocol utility, governance, and growth for the leading DeFi protocols. From our team effort, we are able to drive massive growth of user transactions and the launch of the protocol economy. If a protocol fails to attract user activity, token value falters and innovation will flow away from the network. \n\n\nVolume delivers software tools and user experiences that increase protocol token utility and community engagement, measured by protocol transaction volume growth. The Volume team’s interests are the protocol interests: Growth of user transactions.\n\n\nVolume's investors include Curve, Solana, SimplyVC, and many others.\n\n\nWe are always looking for individuals who desire a high-impact, high-visibility role within a company that is making crypto and decentralized protocols valuable. \n\n\nAs Senior Back-End Engineer, you will be responsible for the backend infrastructure, performance, stability, and scaling of user-facing dApps. You will work closely with smart contract, protocol, and frontend engineers as well as DeFi strategists and will be bridging the constraints posed by web-scale applications and blockchain technology. As an early employee you will be a critical part of our core team and significantly influence the company's direction.\n\n\n\nResponsibilities\n* Build services critical to our dApps using Javascript or Python.\n* Write production-ready scripts based on requirements and draft scripts in Javascript or Python.\n* Add new functionality to Volume’s Python and Javascript SDKs. \n* Maintain the backend infrastructure for Volume’s Defi dApps and Bots. \n* Maintain services and scripts for the marketing team infrastructure with Mixpanel, Storyblock, and Discourse.\n* Write high-quality, reusable, and well-tested code in order to meet our company goals.\n* Demonstrate security and secret management across numerous services. \n\n\n\nRequirements\n* Excellent JavaScript skills \n* Excellent Python skills\n* Good Rust skills\n* Proficient knowledge of Go \n* Degree in Computer Science\n* Experience with Node.js, Docker, DBMS technology including postgresSQL and SQLlite and caching mechanisms such as Redis, Memcache  \n* Familiarity with blockchain governance or enthusiasm to learn.\n* Team player and are comfortable reviewing others' code and implementing feedback from others on your work.  \n* Exceptional communication skills. \n* Comfortable with asynchronous written communication, synchronous video calls, pair programming, etc.  \n\n\n\n\n$175,000 - $250,000 a year\n\nAbout Volume:\n\n\nVolume is a dynamic start-up company, and our successful candidate must have the ability and desire to work in a fast-paced environment. As a distributed team, we hire anywhere in the world, and at various levels of experience (entry, senior, staff). We look for people with unique perspectives and diverse backgrounds.\n\n\nVolume is an equal opportunity employer committed to a diverse workplace. All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, gender identity, disability status, membership in an organization, or any other non-merit factors.\n\n\nWe sponsor H1B visa professionals. We have a great benefits package, including parental leave, contributions to your retirement, competitive pay, and unlimited time off. For U.S.-based employees, we also provide platinum-level health, dental, and vision coverage for you and your family. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Crypto, Python, JavaScript, Finance, Senior, Marketing, Engineer and Backend jobs that are similar:\n\n $70,000 — $110,000/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\nRemote Global