10 Gdal Jobs

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Collaborate with the Bangalore team to accelerate the development of the product Install, configure, and execute packaged Python + React applications on an air-gapped system, isolated from the network Run automated & manual QC/benchmark suites on geospatial datasets, compare against target metrics, and document results Diagnose failures / performance gaps; tweak YAML/JSON configuration parameters, model checkpoints, and resource settings to hit accuracy & latency targets Generate concise diffs / patch files and reproducible reports for the backend team; participate in rapid iteration cycles Automate local environment set-up via scripts (e.g., PowerShell, Bash, Ansible) and maintain a minimal local PyPI / npm cache Pair with the Geospatial Analyst to validate outputs and capture edge- case feedback from real client data Requirements 2-3 yrs building and debugging full-stack apps (Python 3, FastAPI/Flask, React, Electron, Node) Solid grasp of packaging & deployment: PyInstaller/Briefcase, npm scripts, semantic versioning, checksum-based release manifests Comfort with offline dependency management (wheelhouses, npm offline cache) and Git-based change control Strong test mindset: pytest, Playwright, snapshot testing, CI pipelines (GitHub Actions, GitLab CI, or similar) Additional Skillset Any prior experience or exposure to image processing or computer vision Experience with Geospatial data formats (SAFE, CEOS, GeoTIFF) and GDAL/Rasterio Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

🚀 We’re Hiring: Electronics & Communication Engineers Focus: RF Data Analytics · Radar Signal Processing · Electronic Warfare | Experience: 1 – 5 yrs | Age Limit: ≤ 30 yrs Why join Crimson? Work on next-generation radar and EW programs that safeguard critical national assets. Turn terabytes of raw I/Q captures into real-time intelligence alongside cross-functional experts. Ship your code from lab prototype to live field deployment and see immediate impact. What you’ll do Acquire – Automate high-throughput downloads, cataloguing and integrity checks of multi-gigabyte RF datasets. Clean & Sanitize – Write Python/Matlab routines for noise filtering, interference rejection and metadata standardisation. Transform – Build DSP modules to demodulate, resample and convert raw I/Q streams into emitter-level feature vectors. Ingest – Design robust ETL workflows into local and shared SQL/NoSQL databases with geospatial indexing. Analyse – Produce geospatial heat-maps, time-frequency plots and anomaly alerts that drive mission decisions. Present – Craft dashboards and concise reports that translate complex RF metrics into clear operational insight. Maintain – Handle routine calibration of RF front-ends, firmware upgrades and Linux/GPU server upkeep. Must-have qualifications Degree: M.Tech / ME / B.Tech / BE / M.Sc. in ECE, Telecom, Signal Processing, Radar Tech, Defence Electronics, or MCA with strong tech focus. Experience: 1 – 5 yrs hands-on with electronics, communications or signal-processing systems. Core knowledge: Electronic Support Measures (ESM), radar theory, communication waveforms, RF chain components. Tools: Matlab (or equivalent), Python (NumPy, SciPy, Pandas, PyTorch/SciKit-DSP-Comm), Git, Docker, Linux. Data skills: Building ETL pipelines, designing database schemas and basic DevOps practices. Nice-to-have superpowers GNU Radio and SDRs (USRP, HackRF) or Keysight/NI test equipment. REST API development with FastAPI or Flask. Geospatial tooling (GDAL, PostGIS, QGIS, ArcGIS). Familiarity with MIL-STD metadata formats (ST 0601/0603, ASTERIX) and radar messaging. Defence-sector clearance eligibility and a passion for national-security tech. What we offer Mission impact: Direct contribution to nationally strategic programmes with tangible outcomes. Growth runway: Sponsored certifications (DSP, EW, cloud), conference travel and mentoring from senior defence scientists. Cutting-edge lab: Petabyte-scale RF archive, GPU clusters and dedicated SDR testbeds. Competitive package: Market-aligned salary, performance bonus, medical & accident insurance, 30 days paid leave. How to apply Prepare your CV (PDF) and a one-page cover letter describing an RF or large-scale data-pipeline project you’ve handled. Deadline: 11 June 2025 (rolling reviews — apply early for priority). Show more Show less

Description Amazon’s Last Mile Analytics & Quality Maps team is building geospatial infrastructure to power the Last Mile delivery network that will deliver packages to hundreds of millions of customers around the world. The Amazon Maps Data team builds systems that model the real world to enable routing for drivers. The GIS team works cross-functionally to seamlessly curate and enhance last mile delivery network and geospatial data quality. Our team is seeking a passionate and data-driven GIS Program Manager to lead our efforts in enhancing driver experience and operational efficiency through advanced spatial analysis. This role is inherently cross-functional- you will work closely with engineering, operations, business intelligence and other teams on last mile delivery challenges. Through close collaboration and by conducting analysis using spatial techniques and data visualizations, you will drive these challenges to resolution. The ideal candidate has a background of GIS expertise, logistics understanding, project management skills, and a strong customer-centric approach to drive improvements in last-mile delivery. This job will require strong communication skills while having the ability to work independently in a high pressure, and often ambiguous, work environment. Passion and drive for customer service is a must. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities Program manage GIS-based solutions for last-mile delivery challenges, through problem identification, scoping, creating and delivering long-term solutions, cross collaborating with technology, product, program, business, and operations teams. Serve as a subject matter expert in GIS applications and Geospatial (or spatial) analysis, spatial data visualization to various teams like technology, product, program, business, and operations. Develop and implement strategies for continuous map updates and improvements based on driver feedback, delivery data, and emerging GIS technologies. Coordinate cross-functional projects to standardize GIS procedures and eliminate root causes for map data inaccuracies within current systems. Extract valuable insights from spatial and non-spatial data sets using GIS tools and techniques Support Map data evaluations and quality assessment through insight sharing Basic Qualifications 2+ years of program or project management experience Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Experience with spatial analysis, GIS tools (QGIS etc.) and data visualization Experience in SQL and any scripting languages (Python, JavaScript) Preferred Qualifications Worked on proprietary and open source GIS libraries like GDAL, OGR, Geo Tools Working experience on front end web map application development with Leaflet, Typescript, Open Layers Knowledge on Map Navigation models like OSM and managing open source spatial databases like Post GIS Experience in requirement gathering and ability to write clear and detailed requirement document Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ - H84 Job ID: A2947677 Show more Show less

--POSITION OPEN FOR IMMEDIATE JOINERS ONLY-- --THOSE WHO HAVE APPLIED EARLY, NO NEED TO APPLY AGAIN-- Following selection criteria will be strictly followed - Graduated in 2020 or before 4+ YOE in the industry, excluding any career breaks Python or Java proficiency is a MUST Should be able to join in 30 days once the offer letter is released Budget - There is no budget cap for the right talent Location - Noida Tech Stack - GCP, Pub/Sub, Postgres/PostGIS, Redis, Django/FastAPI/Spring Boot, GDAL, Geoserver etc What will you be building? SiteRecon platform consists of GIS-based web applications, mobile applications, and several custom integrations - both tool-based and API-based to its customers. As a full-stack engineer, you would be responsible for owning feature deliveries encompassing several interfaces. That means - what's built, how's it built, and how to make it a success. You will have a team of dedicated engineers, sales experts, and marketing maestros who will work together with you to make the product and yourself successful. What are your responsibilities? Owning entire code bases, improving them over time, and killing tech debts Production systems - you will have full access to the end delivery systems. You will be talking about security issues, performance issues, and QA issues. Isn't that what complete ownership stands for? You make decisions and drive what's built in the future at SiteRecon. Whatever you need - tools, processes, people. Whatever makes the product great, you will have it all to make great software. A little bit about us - We are helping property maintenance contractors in the US to automate property mapping and site visits through our mapping platform - https://order.siterecon.ai/ Hiring Manager - https://www.linkedin.com/in/innovationchef/ Drop a note to ankit@siterecon.ai if you want to discuss more about what you would be doing! Show more Show less

Title Software Engineer Location: Multiple Locations Job Term: Full-Time The Opportunity: At Picarro, Software Engineering focuses on developing and deploying industry vertical applications to clients in the Scientific and Energy communities. This specific role is focused on the suite of solutions, such as greenhouse gas emissions quantification, pipe replacement, and advanced leak detection, used by our gas utility and pipeline customers. The majority have a web-based user interface, but the backend utilizes geoprocessing, data, and ML services. While the products are designed to meet the needs of the industry, they sit within Picaro's larger analytical suite/ distributed framework, so a wider collection of skills is desired. The software engineer participates in the design, programming, testing, documentation and implementation of applications and related processes/systems. You may also be required to identify and evaluate development options, assess future needs for key technologies and techniques and develop plans for adoption. This position reports to the GIS Software Development Manager. The position will be on site based out of our Bangalore, India office. Key Responsibilities: Work directly with product stakeholders and product management to understand product use cases and synthesize business requirements. Design, develop, and deploy high-performance multi-tenant dashboard applications using Dash Enterprise. Write production-quality code that creates responsive web applications. Handle multiple technical requests and project deadlines simultaneously. Collaborate daily with a global team of software engineers, data scientists, analysts, and product managers using a variety of online communication channels. Apply software development best practices including version control (Git), code review, and testing. Document technical detail of work using Jira and Confluence. Desired Skills and Experience: 8+ years of overall software development experience. 5+ years of experience developing responsive web applications using HTML, CSS, and JavaScript. 3+ years of Python experience, specifically in an object-oriented structure. Experience with common data analytics and visualization libraries such as Numpy, Pandas, Json, Sqlalchemy, Plotly, and/or Matplotlib. Experience with geospatial libraries such as Shapely, GeoPandas, GDAL/OGR, and PyProj are a plus. 1+ years with SQL for analytical use cases. 1+ years of experience with a modern web UI library, like React, Vue, Angular, or Svelte. 1+ years of experience developing web applications using Python. 1+ years of experience with at least one common data visualization tool such as Tableau, PowerBI, Qlik, or Dash Enterprise. 1+ years of cloud development (e.g. AWS, Azure, Google Cloud) and software container technologies (e.g. Docker, Kubernetes). Familiar with Agile methodologies and processes. Familiar with Gas Distribution company processes and/or pipeline and distribution network data. Bachelor or master's degree in computer science, engineering, GIS, geography, or related field. About Picarro: Picarro, Inc. is the world's leading producer of greenhouse gas and optical stable isotope instruments, which are used in a wide variety of scientific and industrial applications, including: atmospheric science, air quality, greenhouse gas measurements, gas leak detection, food safety, hydrology, ecology and more. The company's products are all designed and manufactured at Picarro's Santa Clara, California headquarters and exported to countries worldwide. Picarro's products are based on dozens of patents related to cavity ring-down spectroscopy (CRDS) technology. Picarro's solutions are unparalleled in their precision, ease of use, portability, and reliability. Honors awarded the Company include the World Economic Forum Technology Innovation Pioneer, IHS CERA Energy Innovation Pioneer, the U.S. Department of Energy Small Business of the Year, the TiE50 Winner and the Red Herring Global 100 Winner. Key investors include Benchmark Capital Partners, Greylock Management Corporation, Duff, Ackerman & Goodrich, Stanford University, Focus Ventures, Mingxin China Growth Ltd., NTT Finance and Weston Presidio Capital. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referral. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

Who We Are Brightly, the global leader in intelligent asset management solutions, enables organizations to transform the performance of their assets. Brightly’s sophisticated cloud-based platform leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly’s complete suite of intuitive software – including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable communities. About The Job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What You’ll Be Doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution – imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What You Need Bachelor’s or master’s degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years’ unit testing, mocking frameworks, automation frameworks. DevOps mindset – 3+ years’ experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years’ experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies: NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points: Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS The Brightly culture Service. Ingenuity. Integrity. Together. These values are core to who we are and help us make the best decisions, manage change, and provide the foundations for our future. These guiding principles help us innovate, flourish and make a real impact in the businesses and communities we help to thrive. We are committed to the great experiences that nurture our employees and the people we serve while protecting the environments in which we live. Together we are Brightly Show more Show less

We are seeking a highly skilled Python Developer with a strong GIS background to join our team.The ideal candidate will be responsible for developing and maintaining web-based GIS applications, managing geospatial data workflows, and leveraging geospatial Python libraries to solve real-world spatial problems. Experience with Django, GDAL, and other Python-based geo libraries is a must. Key Responsibilities: Develop, maintain, and optimize GIS-based web applications using Python and Django. Work with geospatial data formats such as Shapefiles, GeoJSON, KML, and raster datasets. Utilize libraries such as GDAL, Fiona, Shapely, Rasterio, GeoPandas, and PyProj for data processing and spatial analysis. Integrate mapping solutions and visualization tools like Leaflet.js, OpenLayers, or Folium (optional). Develop and manage APIs for spatial data access and manipulation. Perform spatial analysis, data conversion, and coordinate system transformations. Write clean, scalable, and well-documented Python code. Collaborate with frontend developers, GIS analysts, and data engineers to implement features and resolve issues. Required Skills and Qualifications:Proficiency in Python with experience in geospatial programming. Hands-on experience with Django or similar web frameworks. Strong understanding of GIS concepts, spatial databases, and coordinate reference systems. Expertise in geospatial libraries such as: GDAL/OGR GeoPandas Shapely Fiona Rasterio PyProj Experience with spatial databases (PostgreSQL/PostGIS is a plus). Familiarity with RESTful APIs and integrating geospatial data services. Knowledge of data formats like GeoTIFF, GeoJSON, WKT, WKB. Ability to handle large spatial datasets efficiently. Experience- 2 years Salary - 4,00,000 - 6,00,000 Per annum (Negotiable) Show more Show less

Job Description GalaxEye Space, is a deep-tech Space start-up spun off from IIT-Madras and is currently based in Bengaluru, Karnataka. We are dedicated to advancing the frontiers of space exploration. Our mission is to develop cutting-edge solutions that address the challenges of the modern space industry by specialising in developing a constellation of miniaturised, multi-sensor SAR+EO satellites. Our new age technology enables all-time, all-weather imaging, this with leveraging advanced processing and AI capabilities, we ensure near real-time data delivery and are glad to highlight that we have successfully demonstrated these imaging capabilities, the first of its kind in the world, across various platforms such as Drones as well as HAPS (High-Altitude Pseudo Satellites). Responsibilities Collaborate with the Bangalore team to accelerate the development of the product Install, configure, and execute packaged Python + React applications on an air-gapped system, isolated from the network Run automated & manual QC/benchmark suites on geospatial datasets, compare against target metrics, and document results Diagnose failures / performance gaps; tweak YAML/JSON configuration parameters, model checkpoints, and resource settings to hit accuracy & latency targets Generate concise diffs / patch files and reproducible reports for the backend team; participate in rapid iteration cycles Automate local environment set-up via scripts (e.g., PowerShell, Bash, Ansible) and maintain a minimal local PyPI / npm cache Pair with the Geospatial Analyst to validate outputs and capture edge- case feedback from real client data Requirements 2-3 yrs building and debugging full-stack apps (Python 3, FastAPI/Flask, React, Electron, Node) Solid grasp of packaging & deployment: PyInstaller/Briefcase, npm scripts, semantic versioning, checksum-based release manifests Comfort with offline dependency management (wheelhouses, npm offline cache) and Git-based change control Strong test mindset: pytest, Playwright, snapshot testing, CI pipelines (GitHub Actions, GitLab CI, or similar) Additional Skillset Any prior experience or exposure to image processing or computer vision Experience with Geospatial data formats (SAFE, CEOS, GeoTIFF) and GDAL/Rasterio Benefits Acquire valuable opportunities for learning and development through close collaboration with the founding team. Contribute to impactful projects and initiatives that drive meaningful change. We provide a competitive salary package that aligns with your expertise and experience. Enjoy comprehensive health benefits, including medical, dental, and vision coverage, ensuring the well-being of you and your family. Work in a dynamic and innovative environment alongside a dedicated and passionate team. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#5BBD6E;border-color:#5BBD6E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Geospatial Applications Developer The Geospatial Applications Developer will play a crucial part in designing, developing, and implementing GIS solutions using the full ESRI stack and other geospatial libraries and toolsets. You will leverage your experience with ArcGIS SDKs, web APIs, .NET, Python, and Spark to build robust, scalable, and innovative GIS applications that address complex geospatial challenges for our organization and clients. Key Responsibilities Develop, maintain, and enhance GIS applications using the ESRI suite of tools (ArcGIS SDKs, ArcGIS Enterprise, ArcGIS Online, etc.) or other geospatial libraries and toolsets as required (GDAL, Apache Sedona, Databricks Mosaic, etc.) Implement and customize web APIs for interactive mapping and geospatial data visualization Collaborate with cross-functional teams to design and architect solutions that integrate GIS functionalities into existing systems and workflows Create and optimize database structures to efficiently store and manage geospatial data Write clean, modular, and well-documented code in .NET and Python to support automation and data processing tasks Troubleshoot, debug, and resolve issues related to GIS applications, data, and performance Participate in code reviews, testing, and deployment processes to ensure high-quality software releases Stay up-to-date on emerging GIS technologies and industry best practices Required Skills And Experience Bachelor’s degree in Computer Science, Information Technology, Geospatial Science, or a related field. Proven experience with ArcGIS SDKs and ESRI web APIs Strong understanding of the full ESRI stack Experience in .NET (C#) for application development Experience in Python and the use of ArcPy for development of geoprocessing services on ArcGIS Enterprise GIS Server Demonstrated experience developing and deploying web GIS applications Solid knowledge of geospatial concepts (coordinate systems, projections, spatial analysis) Familiarity with relational databases and spatial databases (e.g., SQL Server, PostgreSQL/PostGIS) Excellent problem-solving and communication skills Preferred Skills And Experience Masters in degree in Computer Science, Information Technology, Geospatial Science, or a related field. Experience with cloud platforms (Azure, AWS) for hosting and managing GIS applications Knowledge of modern front-end frameworks (React/ Angular) for web development Experience with Spark and/or Databricks for distributed computing workloads Experience with Spark geospatial libraries and tools such as Apache Sedona, ESRI GeoAnalytics Engine, and/or Databricks Mosaic Experience with DevOps practices, SDLC, CI/CD pipelines, etc. Professional certifications in ESRI technologies Show more Show less

Who We Are Brightly, the global leader in intelligent asset management solutions, enables organizations to transform the performance of their assets. Brightly’s sophisticated cloud-based platform leverages more than 20 years of data to deliver predictive insights that help users through the key phases of the entire asset lifecycle. More than 12,000 clients of every size worldwide depend on Brightly’s complete suite of intuitive software – including CMMS, EAM, Strategic Asset Management, IoT Remote Monitoring, Sustainability and Community Engagement. Paired with award-winning training, support and consulting services, Brightly helps light the way to a bright future with smarter assets and sustainable communities. About The Job Brightly Software continues to grow and needs amazing engineers. We are looking for a skilled Senior Software Engineer with a strong background in Geographic Information Systems (GIS) and expertise in Node.js. As an SSE in this role, you will be responsible for designing, developing, and maintaining advanced GIS-based software applications using Node.js to process, analyze, and visualize geospatial data. You will play a key role in building scalable, high-performance systems while collaborating with cross-functional teams to integrate geospatial data into modern web and backend systems. What You’ll Be Doing GIS Software Development: Lead the development of GIS solutions, leveraging Node.js to build APIs and backend services that interact with spatial data. Geospatial Data Integration: Integrate geospatial data sources (e.g., shapefiles, GeoJSON, raster data) into applications, ensuring accurate data processing and management. Node.js Application Development: Design and implement backend solutions using Node.js, focusing on performance, security, and scalability to process large geospatial datasets. API Development: Develop and maintain RESTful APIs that expose geospatial data and GIS services, ensuring smooth integration with other systems and frontend applications. Spatial Data Management: Optimize databases for handling geospatial data, utilizing PostGIS, MongoDB, or other spatial database technologies. Collaboration & Mentorship: Work closely with front-end developers, product managers, and other engineers to ensure GIS features meet business requirements. Mentor junior engineers, providing technical guidance and best practices. Performance Optimization: Continuously monitor and optimize GIS systems for performance, reliability, and data throughput. Documentation & Best Practices: Create and maintain clear technical documentation for geospatial APIs, services, and architectures. Ensure coding standards and best practices are followed. Continuous Learning: Stay up to date with emerging technologies and trends in both GIS and Node.js development to drive innovation in the team. Support our products, identify and fix root causes of production incidents, own troubleshooting and resolution of production issues across teams. Own discovery, solutioning, monitoring, incident resolution – imbibe and socialize DevOps mindset. Own product quality and work to quickly address production defects. Embed a DevOps mentality within the team. Serve as a senior member for your team as needed or special purpose projects per business priority. Identify & own coaching opportunities. Stay current with learning current trends in technology and mentor and guide junior engineers and interns. Partner with Tech Leads, architects, engineers, development managers, product managers, agile coaches across the engineering practice in an agile environment, with scrum implemented at scale globally. Driver in continuous improvement processes through metrics and feedback. Welcome, change and complexity. Learn quickly and adapt fast. Be a change leader! What You Need Bachelor’s or master’s degree in computer science, Geospatial Sciences, Geography, Engineering, or a related field. 5+ years of experience in software development, with at least 2-3 years focused on GIS applications. Strong experience with Node.js for backend development. Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Solid understanding of RESTful API design and development. Advanced knowledge of Node.js and JavaScript (ES6+). Familiarity with geospatial libraries like GDAL, GeoPandas, Turf.js, or other JavaScript-based spatial libraries. Strong experience with version control systems like Git and agile development practices. Knowledge of cloud platforms (AWS, Azure) and deployment tools (Docker, Kubernetes) is a plus. Strong problem-solving abilities, with a focus on optimizing geospatial data handling and processing. Ability to communicate complex technical concepts to both technical and non-technical team members. A proactive team player who thrives in a collaborative environment. 3+ years’ unit testing, mocking frameworks, automation frameworks. DevOps mindset – 3+ years’ experience in CI/CD, SDLC environment, implemented exception handling, logging, monitoring, performance measurement, operational metrics knowledge. 3+ years’ experience working in agile methodologies (Scrum, Kanban) Strong communication, partnership, teamwork, and influencing skills required. Technologies NodeJS/ NestJS Framework Messaging framework (ActiveMQ/Kafka) SQL Server/MySql/MongoDB or Postgres Javascript, jQuery, HTML, CSS Dockerization and Containerization Reactive programming Markup languages like XML/JSON/Yaml In depth knowledge of version tools like Git/Bitbucket Expertise in GIS technologies (ArcGIS, QGIS, GeoServer, MapServer, etc.) and spatial data formats (GeoJSON, KML, shapefiles). Experience with spatial databases (PostGIS, MongoDB with GeoJSON support, etc.). Bonus Points Openshift/Kubernetes Open-source contribution, repositories, personal projects Participation in communities of interest, meetups Certifications in technology, agile methodologies Prior experience in agile implemented at scale across multiple teams globally Javascript, jQuery, HTML, CSS The Brightly culture Service. Ingenuity. Integrity. Together. These values are core to who we are and help us make the best decisions, manage change, and provide the foundations for our future. These guiding principles help us innovate, flourish and make a real impact in the businesses and communities we help to thrive. We are committed to the great experiences that nurture our employees and the people we serve while protecting the environments in which we live. Together we are Brightly Show more Show less