\nAbout HighLevel:\nHighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have ~1200 employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.\n\n\nOur Website - https://www.gohighlevel.com/\nYouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g\nBlog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/\n\n\nOur Customers:\nHighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 500K businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.\n\n\nScale at HighLevel:\nWe operate at scale, managing over 40 billion API hits and 120 billion events monthly, with more than 500 micro-services in production. Our systems handle 200+ terabytes of application data and 6 petabytes of storage.\n\n\nAbout the Role:\nWe are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing, large-scale event-driven architectures, and integrations with various data systems. This role involves collaborating with cross-functional teams to ensure data reliability, scalability, and performance. The candidate will work closely with data scientists, analysts and software engineers to ensure efficient data flow and storage, enabling data-driven decision-making across the organisation.\n\n\n\nResponsibilities:\n* Software Engineering Excellence: Write clean, efficient, and maintainable code using JavaScript or Python while adhering to best practices and design patterns\n* Design, Build, and Maintain Systems: Develop robust software solutions and implement RESTful APIs that handle high volumes of data in real-time, leveraging message queues (Google Cloud Pub/Sub, Kafka, RabbitMQ) and event-driven architectures\n* Data Pipeline Development: Design, develop and maintain data pipelines (ETL/ELT) to process structured and unstructured data from various sources\n* Data Storage & Warehousing: Build and optimize databases, data lakes and data warehouses (e.g. Snowflake) for high-performance querying\n* Data Integration: Work with APIs, batch and streaming data sources to ingest and transform data\n* Performance Optimization: Optimize queries, indexing and partitioning for efficient data retrieval\n* Collaboration: Work with data analysts, data scientists, software developers and product teams to understand requirements and deliver scalable solutions\n* Monitoring & Debugging: Set up logging, monitoring, and alerting to ensure data pipelines run reliably\n* Ownership & Problem-Solving: Proactively identify issues or bottlenecks and propose innovative solutions to address them\n\n\n\nRequirements:\n* 3+ years of experience in software development\n* Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field\n* Strong Problem-Solving Skills: Ability to debug and optimize data processing workflows\n* Programming Fundamentals: Solid understanding of data structures, algorithms, and software design patterns\n* Software Engineering Experience: Demonstrated experience (SDE II/III level) in designing, developing, and delivering software solutions using modern languages and frameworks (Node.js, JavaScript, Python, TypeScript, SQL, Scala or Java)\n* ETL Tools & Frameworks: Experience with Airflow, dbt, Apache Spark, Kafka, Flink or similar technologies\n* Cloud Platforms: Hands-on experience with GCP (Pub/Sub, Dataflow, Cloud Storage) or AWS (S3, Glue, Redshift)\n* Databases & Warehousing: Strong experience with PostgreSQL, MySQL, Snowflake, and NoSQL databases (MongoDB, Firestore, ES)\n* Version Control & CI/CD: Familiarity with Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines for deployment\n* Communication: Excellent verbal and written communication skills, with the ability to work effectively in a collaborative environment\n* Experience with data visualization tools (e.g. Superset, Tableau), Terraform, IaC, ML/AI data pipelines and devops practices are a plus\n\n\n\n\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\n\n#LI-Remote #LI-NJ1 \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, JavaScript, Cloud, API, Marketing, Sales, Engineer and Backend jobs that are similar:\n\n $60,000 — $90,000/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\nDelhi

\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

\nBombora provides a global B2B intent platform powered by the world’s largest publisher data co-op. Our data allows sales teams to base their actions on the knowledge of which companies are in-market for their products, and empowers marketing teams to practice #SustainableMarketing.\nWe process billions of content interactions daily to detect intent signals from companies around the world. To do this, we use modern distributed processing and machine learning technologies, including Spark, Dataflow/Beam, Airflow, PyTorch, and BigQuery.\n\nThis is a full-time position with competitive benefits and compensation, preferably based in our Reno, NV office - though we are open to remote candidates as long as you are willing to travel to Reno occasionally.\n\nWhat you will do\n\nYou will join our Data Engineering team, working alongside our data scientists and ML engineers to support Bombora R&D’s mission to design, develop and maintain our world class B2B DaaS products, leveraging machine intelligence and web-content consumption data at-scale. You will do this by:\n\n\n* Creating and refining bounded (batch) and unbounded (streaming) ETL and ML data pipelines that comprise our production systems\n\n* Advancing development and integration of our major analytics and ML codebases using modern and rigorous software engineering principles\n\n* Helping to support and maintain our live production ETL and ML pipelines and systems\n\n* Mentoring and advancing the development of your colleagues\n\n* Having fun in an environment of collaboration, curiosity, and experimentation\n\n\n\n\nSpecific Responsibilities:\n\n\n* Develop applications, libraries and workflows with Python, Java, Apache Spark, Apache Beam, and Apache Airflow\n\n* Design and implement systems that run at scale on Google’s Dataproc, Dataflow, Kubernetes Engine, Pub/Sub, and BigQuery platforms.\n\n* Learn, design and implement algorithms and machine learning operations, at-scale, using SciPy, PySpark, Spark Streaming, and MLBase libraries.\n\n* Learn and advance existing data models for our events, profiles and other datasets\n\n* Employ test-driven development, performance benchmarking, rapid release schedule, and continuous integration.\n\n* Participate in daily stand-ups, story planning, reviews, retrospectives, and the occasional outings to nearby local cuisine and / or culture.\n\n\n\n\nAbout you:\n- Your background:\n\n\n* Education: B.S. / M.S. in computer science, physics, electrical engineering, applied mathematics, or equivalent experience.\n\n* Work experience: 3+ years of real-world development experience and 2+ years of experience with cloud and/or big-data platforms, GCP experience preferred.\n\n* Language Fluency: In Java / Python (at least 2 years of experience on commercial projects) and perhaps a few other languages.\n\n* Data wrangler: Driven by data and the ability to leverage data to understand systems.\n\n* Impactful and effective: Live and breathe TDD and agile methodologies in software to great impact\n\n* Character: Creativity, pragmatism, curiosity, and a good sense of humor\n\n\n\n\n- Working knowledge of:\n\n\n* Algorithms / Data Structures: Design patterns, efficiency, using the right abstraction for the task.\n\n* Functional Programming: Filters and maps, currying and partial evaluation, group-by and reduce-by\n\n* OOP: Object paradigms to build components, when needed.\n\n* Databases: Familiar with both relational (MySQL, PostgreSQL) and NoSQL (HBase, Cassandra, etc).\n\n* Data Processing at scale: Distributed computations, map-reduce paradigm, and streaming processing, Spark experience is helpful.\n\n* Build and release toolchains: Experience deploying projects in both Python (conda, setuptools, etc.) and Java (Maven).\n\n* Git: Comfortable working with git (resolving conflicts, merging, branching, etc).\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 Engineer, Java, Cloud, NoSQL, Git, Python, Travel, Marketing, Sales and Apache jobs that are similar:\n\n $70,000 — $112,500/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

\nCrunch.i, part of the YouGov PLC is a market-defining company in the analytics SaaS marketplace. We’re a company on the rise. We’ve built a revolutionary platform that transforms our customers’ ability to drive insight from market research and survey data. We offer a complete survey data analysis platform that allows market researchers, analysts, and marketers to collaborate in a secure, cloud-based environment, using a simple, intuitive drag-and-drop interface to prepare, analyze, visualize and deliver survey data and analysis. Quite simply, Crunch provides the quickest and easiest way for anyone, from CMO to PhD, with zero training, to analyze survey data. Users create tables, charts, graphs and maps. They filter, and slice-and-dice survey data directly in their browser.\n\nOur start-up culture is casual, respectful of each other’s varied backgrounds and lives, and high-energy because of our shared dedication to our product and our mission. We are loyal to each other and our company. We value work/life balance, efficiency, simplicity, and fantastic customer service! Crunch has no offices and fully embraces a 100% remote culture. We have 40 employees spread across 5 continents. Remote work at Crunch is flexible and largely independent, yet highly cooperative.\n\nWe are hiring a DevOps Lead to help expand our platform and operations excellence. We are inviting you to join our small, fully remote team of developers and operators helping make our platform faster, more secure, and more reliable. You will be self-motivated and disciplined in order to work with our fully distributed team.\n\nWe are looking for someone who is a quick study, who is eager to learn and grow with us, and who has experience in DevOps and Agile cultures. At Crunch, we believe in learning together: we recognize that we don’t have all the answers, and we try to ask each other the right questions. As Crunch employees are completely distributed, it’s crucial that you can work well independently, and keep yourself motivated and focused.\n\nOur Stack:\n\nWe currently run our in-house production Python code against Redis, MongoDB, and ElasticSearch services. We proxy API requests through NGINX, load balance with ELBs, and deploy our React web application to AWS CloudFront CDN. Our current CI/CD process is built around GitHub, Jenkins, BlueOcean including unit, integration, and end to end tests and automated system deployments. We deploy to auto-scaling Groups using Ansible and Cloud-Init.\n\nIn the future, all or part of our platform may be deployed via DroneCI, Kubernetes, nginx ingress, Helm, and Spinnaker.\n\nWhat you'll do:\n\nAs a Leader:\n\n\n* Manage and lead a team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our customer base.\n\n* Scale the worldwide Cloud Operations Engineering team with the strategic implementation of new processes and tools.\n\n* Hire and ramp exceptional Cloud Operations Engineers.\n\n* Assist in scoping, designing and deploying systems that reduce Mean Time to Resolve for customer incidents.\n\n* Inform executive leadership and escalation management personnel of major outages\n\n* Compile and report KPIs across the full company.\n\n* Work with Sales Engineers to complete pre-sales questionnaires, and to gather customer use metrics.\n\n* Prioritize projects competing for human and computational resources to achieve organizational goals.\n\n\n\n\nAs an Engineer:\n\n\n* Monitor and detect emerging customer-facing incidents on the Crunch platform; assist in their proactive resolution, and work to prevent them from occurring.\n\n* Coordinate and participate in a weekly on-call rotation, where you will handle short term customer incidents (from direct surveillance or through alerts via our Technical Services Engineers).\n\n* Diagnose live incidents, differentiate between platform issues versus usage issues across the entire stack; hardware, software, application and network within physical datacenter and cloud-based environments, and take the first steps towards resolution.\n\n* Automate routine monitoring and troubleshooting tasks.\n\n* Cooperate with our product management and engineering organizations by identifying areas for improvement in the management of applications powering the Crunch infrastructure.\n\n* Provide consistent, high-quality feedback and recommendations to our product managers and development teams regarding product defects or recurring performance issues.\n\n* Be the owner of our platform. This includes everything from our cloud provider implementation to how we build, deploy and instrument our systems.\n\n* Drive improvements and advancements to the platform in areas such as container orchestration, service mesh, request/retry strategies.\n\n* Build frameworks and tools to empower safe, developer-led changes, automate the manual steps and provide insight into our complex system.\n\n* Work directly with software engineering and infrastructure leadership to enhance the performance, scalability and observability of resources of multiple applications and ensure that production hand off requirements are met and escalate issues.\n\n* Embed into SRE projects to stay close to the operational workflows and issues.\n\n* Evangelize the adoption of best practices in relation to performance and reliability across the organization.\n\n* Provide a solid operational foundation for building and maintaining successful SRE teams and processes.\n\n* Maintain project and operational workload statistics.\n\n* Promote a healthy and functional work environment.\n\n* Work with Security experts to do periodic penetration testing, and drive resolution for any issues discovered.\n\n* Liaise with IT and Security Team Leads to successfully complete cross-team projects, filling in for these Leads when necessary.\n\n* Administer a large portfolio of SaaS tools used throughout the company.\n\n\n\n\nQualifications:\n\n\n* Team Lead experience of an on-call DevOps, SRE, or Cloud Operations team (at least 2 years).\n\n* Experience recruiting, mentoring, and promoting high performing team members.\n\n* Experience being an on-call DevOps, SRE, or Cloud Operations engineer (at least 2 years).\n\n* Proven track record of designing, building, sizing, optimizing, and maintaining cloud infrastructure.\n\n* Proven experience developing software, CI/CD pipelines, automation, and managing production infrastructure in AWS.\n\n* Proven track record of designing, implementing, and maintaining full CI/CD pipelines in a cloud environment (Jenkins experience preferred).\n\n* Experience with containers and container orchestration tools (Docker, Kubernetes, Helm, traefik, Nginx ingress and Spinnaker experience preferred).\n\n* Expertise with Linux system administration (5 yrs) and networking technologies including IPv6.\n\n* Knowledgeable about a wide range of web and internet technologies.\n\n* Knowledge of NoSQL database operations and concepts.\n\n* Experience in monitoring, system performance data collection and analysis, and reporting.\n\n* Capability to write small programs/scripts to solve both short-term systems problems and to automate repetitive workflows (Python and Bash preferred).\n\n* Exceptional English communication and troubleshooting skills.\n\n* A keen interest in learning new things.\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 DevOps, Executive, React, English, Elasticsearch, Cloud, NoSQL, Python, API, Sales, SaaS, Engineer, Nginx and Linux 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