Overview We’re looking for a Director of Engineering to lead the engineering team at browserless.io. Core responsibilities are running day-to-day engineering operations, participating in meetings and planning, building the team / managing individual team members, and helping facilitate unblocking of the team. We’re all multi-sport athletes and value individuals who can contribute as well as lead. Who we Are Browserless.io is a self-funded web automation company founded in 2017. We’re building the next generation of web automation, supporting developers and other integrations by making the “hard parts” of web automation simpler. We’re non-VC backed, profitable, and a remote-first team. About You We’re looking for someone who still loves writing code and can help deliver great products and services at browserless.io, as well as facilitate check-ins across the remote team. You’d be a great fit if you’re self-motivated, can rally folks behind a cause, and can actively help deliver software towards that goal. We deeply value bias towards action and taking ownership of problems. Here’s a little bit about the role: Responsibilities Own and be responsible for ensuring quality, deliverability and timeliness of the engineering team. Run check-ins, help the team stay focused, run retrospectives and other scrum events. Understand how the platform works, how releases work, and be proactive in improving all aspects of the system. Manage software releases, changelogs etc. Help out with individual contributions where possible (we expect 30-50% of the time spent on code - which would decrease over time as you learned things well enough to be able to effectively review PRs) Required Skills Excellent NodeJS and TypeScript skills. Has worked in browser automation at some level (testing, scraping, Selenium, etc). Familiarity with other popular languages like Python are helpful but not essential. Understanding of how containerized technologies like Docker work and can use them effectively. Have used cloud services like AWS, Google Cloud or Digital Ocean. Prior experience running engineering teams would be a bonus Manage performance, hiring, and building a high performing engineering culture Manage well in an async culture - we have core overlap hours of 8am-10am PST, four days a week (half team based in North America and half in Asia)
Job Title: Java Developer Experience: 3+ Years Duration: 4+ Months (Extendable based on performance) Client: Hyperhire Working Hours: Korean Time Zone Employment Type: Contractual Job Description: We are looking for an experienced Java Developer with 3+ years of hands-on experience to join a project for a Korean client. This is a contractual role with an initial duration of 4 months, extendable based on performance. Key Responsibilities: Develop and maintain Java-based applications. Collaborate with cross-functional teams in a remote setting. Ensure code quality and timely delivery. Work according to Korean business hours. Requirements: 3+ years of Java development experience. Strong understanding of Java, Spring/Spring Boot, and related frameworks. Good communication skills and ability to work in a remote team. Availability to work in Korean time zone Interview process : 1.Technical assignment 2.Technical Discussion 3.Hiring manager round
Client : https://energylifeglobal.com/ Role: remote (1st Contract for 3+ month then extended to continues) Working hours :(40 hrs - Monday to Friday) Immediate joiners prefer Key Responsibilities 1.Data Ingestion and Processing Pipeline: Build and maintain an automated pipeline to ingest and process raw satellite data from sources like the Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3. 2.AI Model Training & Integration Framework: Develop a framework in Python to automate the machine learning lifecycle, including the training, validation, versioning, and storage of models for satellite image classification (Segmentation) and thermal risk prediction (using libraries like XGBoost). You will also integrate the UTCI (Universal Thermal Climate Index) calculation logic using the pythermalcomfort library. 3. Real-time Prediction API: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models. 4. Frontend Core Feature Implementation: Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data. 5. Cloud Infrastructure: Design and construct the entire cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK, ensuring the platform is secure, cost-effective, and scalable. Qualifications Required Qualifications: 6. A minimum of 3 years of professional software development experience 7 Deep expertise in either Python-based backend development or React-based frontend development 8. Essential, in-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM 9. A thorough understanding of REST principles and proven experience in designing and building APIs from scratch. 10. Proficiency in containerising applications using Docker 11.Demonstrated ability to independently solve complex, open-ended technical challenges 12.Strong communication skills to articulate technical decisions and collaborate with the team Preferred Qualifications: 1.Experience building complex, interactive mapping and data visualisation services with Mapbox GL JS or similar libraries. 2. Experience with GIS data processing using libraries like GeoPandas and Rasterio, or familiarity with Google Earth Engine. 3. Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn. 4. Proven experience with Infrastructure as Code (IaC) tools such as AWS CDK or Terraform. 5. Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1.
Client : https://energylifeglobal.com/ Role: remote (1st Contract for 3+ month then extended to continues) Working hours :(40 hrs - Monday to Friday) Immediate joiners prefer Key Responsibilities 1.Data Ingestion and Processing Pipeline: Build and maintain an automated pipeline to ingest and process raw satellite data from sources like the Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3. 2.AI Model Training & Integration Framework: Develop a framework in Python to automate the machine learning lifecycle, including the training, validation, versioning, and storage of models for satellite image classification (Segmentation) and thermal risk prediction (using libraries like XGBoost). You will also integrate the UTCI (Universal Thermal Climate Index) calculation logic using the pythermalcomfort library. 3. Real-time Prediction API: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models. 4. Frontend Core Feature Implementation: Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data. 5. Cloud Infrastructure: Design and construct the entire cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK, ensuring the platform is secure, cost-effective, and scalable. Qualifications Required Qualifications: 6. A minimum of 3 years of professional software development experience 7 Deep expertise in either Python-based backend development or React-based frontend development 8. Essential, in-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM 9. A thorough understanding of REST principles and proven experience in designing and building APIs from scratch. 10. Proficiency in containerising applications using Docker 11.Demonstrated ability to independently solve complex, open-ended technical challenges 12.Strong communication skills to articulate technical decisions and collaborate with the team Preferred Qualifications: 1.Experience building complex, interactive mapping and data visualisation services with Mapbox GL JS or similar libraries. 2. Experience with GIS data processing using libraries like GeoPandas and Rasterio, or familiarity with Google Earth Engine. 3. Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn. 4. Proven experience with Infrastructure as Code (IaC) tools such as AWS CDK or Terraform. 5. Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1.