196 Postgis Jobs - Page 3

Ackrolix Innovations is a product-first technology studio that partners with ambitious founders and enterprises to turn bold ideas into scalable digital platforms. Rooted in India but serving global markets, the company blends deep domain expertise with AI-augmented engineering to deliver secure, high-performance SaaS and marketplace solutions—on time and on budget. Job Title – Senior Full-Stack Engineering Lead Role Type: Full-Time Permanent Location: Gurgaon (Office) Reporting Line: Head of Engineering About the role We are building a portfolio of green-field B2B SaaS products. This is a career-defining opportunity to become the founding tech leader who shapes architecture, culture and future engineering hires across the company. Skills Required Hard Skills 6 + years Node + TypeScript in multi-tenant SaaS at scale. 5 + years React 18 + TypeScript and React-Native (Expo) production apps. Expert PostgreSQL 15 (PostGIS, JSONB, row-level security, partitioning). Hands-on AWS (EKS, RDS, S3, Lambda, CloudFront, ACM, IAM). Terraform / Helm / GitHub Actions for IaC & CI/CD. Performance tuning : OpenSearch, k6, pg_stat_statements, Datadog APM. Security & compliance : OWASP, SOC-2, RBI, GDPR, Snyk.Leadership & AI Fluency Proven ability to lead 0 → 1 → N teams (hiring, onboarding, sprint rituals). Comfortable working in an AI-augmented environment (reviewing, refining and extending AI-generated code). Strong product thinking – can translate business ambiguity into technical road-maps. Nice-to-Have Real-estate, fintech or marketplace domain experience. Apple / Google store release expertise, push notification certs. Chaos-testing, blue-green deployments, zero-downtime migrations. Job Responsibilities Product Delivery Ownership Take every AI-generated baseline to production-grade (edge-cases, QA, perf, security). Own release cadence (weekly staging, fortnightly prod) and post-launch reliability (SLA, incident response). Team Creation & Growth Hire, mentor and scale cross-functional squads (backend, frontend, mobile, QA, DevOps). Define engineering ladder , code-review culture, onboarding playbooks. Architecture & Strategy Design reusable SaaS platform components (auth, subscription, billing, notifications). Evolve event-driven architecture and micro-frontends as product count grows. AI Tooling Mastery Continuously improve prompts, templates and guardrails to raise AI code quality. Run internal workshops on AI-assisted development for new hires. DevOps & Security Maintain Terraform monorepo , Helm charts , secret management . Ensure SOC-2 readiness , pen-test fixes , cost optimisation . Stakeholder Management Present technical roadmap & OKRs to executive leadership monthly. Translate compliance / legal requests into engineering tasks. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Experience: Full-stack development: 6 years (Required) Node.js: 5 years (Required) React: 5 years (Required) AWS: 4 years (Required) PostgreSQL: 5 years (Required) Location: Gurgaon, Haryana (Required) Work Location: In person

Ackrolix Innovations is a product-first technology studio that partners with ambitious founders and enterprises to turn bold ideas into scalable digital platforms. Rooted in India but serving global markets, the company blends deep domain expertise with AI-augmented engineering to deliver secure, high-performance SaaS and marketplace solutions—on time and on budget. Job Title – Senior Full-Stack Engineering Lead Role Type: Full-Time Permanent Location: Gurgaon (Office) Reporting Line: Head of Engineering About the role We are building a portfolio of green-field B2B SaaS products. This is a career-defining opportunity to become the founding tech leader who shapes architecture, culture and future engineering hires across the company. Skills Required Hard Skills 6 + years Node + TypeScript in multi-tenant SaaS at scale. 5 + years React 18 + TypeScript and React-Native (Expo) production apps. Expert PostgreSQL 15 (PostGIS, JSONB, row-level security, partitioning). Hands-on AWS (EKS, RDS, S3, Lambda, CloudFront, ACM, IAM). Terraform / Helm / GitHub Actions for IaC & CI/CD. Performance tuning : OpenSearch, k6, pg_stat_statements, Datadog APM. Security & compliance : OWASP, SOC-2, RBI, GDPR, Snyk.Leadership & AI Fluency Proven ability to lead 0 → 1 → N teams (hiring, onboarding, sprint rituals). Comfortable working in an AI-augmented environment (reviewing, refining and extending AI-generated code). Strong product thinking – can translate business ambiguity into technical road-maps. Nice-to-Have Real-estate, fintech or marketplace domain experience. Apple / Google store release expertise, push notification certs. Chaos-testing, blue-green deployments, zero-downtime migrations. Job Responsibilities Product Delivery Ownership Take every AI-generated baseline to production-grade (edge-cases, QA, perf, security). Own release cadence (weekly staging, fortnightly prod) and post-launch reliability (SLA, incident response). Team Creation & Growth Hire, mentor and scale cross-functional squads (backend, frontend, mobile, QA, DevOps). Define engineering ladder , code-review culture, onboarding playbooks. Architecture & Strategy Design reusable SaaS platform components (auth, subscription, billing, notifications). Evolve event-driven architecture and micro-frontends as product count grows. AI Tooling Mastery Continuously improve prompts, templates and guardrails to raise AI code quality. Run internal workshops on AI-assisted development for new hires. DevOps & Security Maintain Terraform monorepo , Helm charts , secret management . Ensure SOC-2 readiness , pen-test fixes , cost optimisation . Stakeholder Management Present technical roadmap & OKRs to executive leadership monthly. Translate compliance / legal requests into engineering tasks. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Provident Fund Experience: Full-stack development: 6 years (Required) Node.js: 5 years (Required) React: 5 years (Required) AWS: 4 years (Required) PostgreSQL: 5 years (Required) Location: Gurgaon, Haryana (Required) Work Location: In person

Key Responsibilities: Design, develop, and maintain custom GIS applications and web-based mapping solutions. Analyze user requirements to develop and optimize geospatial workflows and tools. Integrate GIS applications with various enterprise systems and APIs. Develop scripts and tools for data automation, analysis, and processing (Python/ArcPy). Perform spatial data modeling, geoprocessing, and complex spatial analysis. Maintain and optimize spatial databases (e.g., PostGIS, SQL Server with spatial extensions). Create interactive maps, dashboards, and visualizations using tools such as ArcGIS Online, ArcGIS Pro, QGIS, or Mapbox. Conduct performance tuning, testing, and documentation of GIS solutions. Provide support and troubleshooting for GIS-related issues and enhancements. Stay updated with emerging GIS technologies, tools, and best practices. Required Skills & Qualifications: Bachelor’s or Master’s degree in GIS, Computer Science, Geography, or a related field. Minimum 7 years of experience in GIS development. Proficiency in ESRI ArcGIS Suite (ArcGIS Pro, ArcGIS Server, ArcGIS Online). Must have experience in migrating Geocortex Essentials and custom HTML 5 web applications, related workflows and controls into ESRI’s JavaScript API version 4. Must have experience working in VertiGIS Studio Suite of tools and ESRI Experience Builder Strong programming skills in Python , JavaScript (Leaflet/ArcGIS API for JS) , or .NET for GIS applications. Experience with spatial databases : PostGIS, SQL Server, Oracle Spatial. Hands-on experience with FME , GDAL , or other ETL/data transformation tools. Knowledge of web development frameworks and APIs (REST/SOAP). Experience integrating GIS with other enterprise systems (ERP, CRM). Familiarity with open-source GIS platforms (QGIS, GeoServer, MapServer) is a plus. Excellent problem-solving skills and attention to detail. Strong communication and documentation skills. Preferred Qualifications: Certifications in GIS (e.g., Esri Technical Certification). Experience working with cloud GIS platforms (e.g., ArcGIS Enterprise on AWS/Azure). Familiarity with Agile/Scrum methodologies.

Database Migration Specialist – SQL/DB2/Oracle to PostgreSQL Job Summary We are looking for an experienced Database Migration Specialist to lead and execute database migration projects from SQL Server, DB2, and Oracle to PostgreSQL. The ideal candidate will have hands-on expertise in data modeling, schema conversion, performance tuning, and automation of migration processes. Key Responsibilities Analyze legacy databases (SQL Server, DB2, Oracle) to identify schema, data, stored procedures, and dependencies. Plan and execute seamless database migrations to PostgreSQL with minimal downtime. Use tools like AWS DMS, ora2pg, pgloader, or native scripts to automate migration. Convert and optimize PL/SQL or T-SQL procedures/functions to PL/pgSQL. Conduct data validation, integrity checks, and reconciliation post-migration. Tune queries, indexing strategies, and PostgreSQL configurations for optimal performance. Work closely with application and infrastructure teams to support end-to-end migration. Document migration processes, issues encountered, and mitigation steps. Implement rollback and disaster recovery strategies for migration phases. Required Skills And Qualifications 4+ years of experience in database migration and administration. Proven experience migrating databases from SQL Server, DB2, or Oracle to PostgreSQL. Strong command of SQL, PL/SQL, T-SQL, and PL/pgSQL. Proficiency in PostgreSQL performance tuning, indexing, and replication. Experience with data migration tools (e.g., AWS DMS, ora2pg, pgloader, SQL Developer). Familiarity with database design, normalization, and schema refactoring. Hands-on experience with Linux-based environments. Good understanding of ETL processes, data pipelines, and scripting (Bash, Python, or similar). Excellent problem-solving, communication, and documentation skills. Preferred Qualifications Experience with cloud database migration (AWS RDS for PostgreSQL or Aurora). Exposure to DevOps tools, version control (Git), and CI/CD pipelines. Knowledge of PostgreSQL extensions (PostGIS, pg_partman, etc.) is a plus. Certifications in PostgreSQL or cloud platforms (AWS, Azure) are an added advantage.

As a Data Engineer specializing in geospatial data, your primary responsibility is to design, build, and maintain data infrastructure and systems that handle geospatial information effectively. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to ensure that geospatial data is collected, processed, stored, and analyzed efficiently and accurately. About SatSure SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will be free to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Key Responsibilities: Data Pipeline Development: Design and implement robust data pipelines to acquire, ingest, clean, transform, and process geospatial data from various sources such as satellites, aerial, drones, and geolocation services. Data Ingestion, Storage and Extraction: Develop data models and schemas tailored to geospatial data structures, ensuring optimal performance and scalability for storage and retrieval operations. Spatial Database Management: Manage geospatial databases, including both traditional relational databases (e.g., PostgreSQL with PostGIS extension) and NoSQL databases (e.g., MongoDB, Cassandra) to store and query spatial data efficiently. Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g., GDAL, GeoPandas, Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis, visualization, and geoprocessing tasks. Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps, dashboards, and visualizations that effectively communicate geospatial insights and patterns to stakeholders. (frontend related) Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems, leveraging techniques such as indexing, partitioning, and parallelization to optimize geospatial data workflows. Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of geospatial data throughout the data lifecycle. Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data, including metadata management, data privacy, and compliance with geospatial regulations and standards (e.g., INSPIRE, OGC). Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders. Requirements: Must-have: Bachelor's or Master's degree in Computer Science or a related field. 3-5 years of experience working in the field and deploying the pipelines in production. Strong programming skills in languages such as Python, Java, or Scala, with experience in geospatial libraries and frameworks (e.g., Rasterio, Shapely). Experience with distributed computing frameworks (e.g., Apache Spark, Airflow) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform). Familiarity with geospatial data formats and standards (e.g., GeoJSON, Shapefile, KML) and geospatial data visualization tools (e.g., Mapbox, Leaflet, Tableau). Strong analytical and problem-solving skills, with the ability to work with large and complex geospatial datasets. Good-to-have: Proficiency in SQL and experience with geospatial extensions for relational databases (e.g., PostGIS). Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Nice to have experience with geospatial libraries such as Rasterio, Xarray, Geopandas, and GDAL. Nice to have Knowledge of distributed computing frameworks such as Dask. STAC, GeoParquet, Cloud native tools. Productionising Data Science code. The role of a Data Engineer for Geospatial Data is crucial in enabling organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response. Benefits: Medical Health Cover for you and your family, including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round

You will be responsible for integrating GIS mapping tools such as Google Maps API, Leaflet, Mapbox, etc. into our platform. This includes overlaying market price data on maps for each locality in the city and enabling location-based search functionality that displays the current market price trend when a user searches a place. You will also be tasked with building a scalable and interactive map interface for both web and mobile platforms. Additionally, managing spatial databases such as PostGIS, GeoJSON, and shapefiles will be part of your role to ensure smooth UI/UX for map-based data visualization. To excel in this role, you must have proven experience with GIS technologies and geospatial development. A strong knowledge of Google Maps API, Mapbox, Leaflet, or similar mapping tools is essential. Experience in spatial data handling using technologies like PostGIS, GeoServer, and QGIS is required. Proficiency in JavaScript, Python, or related tech stacks is crucial for this position, along with familiarity with REST APIs and database integration. Any bonus qualifications in real estate or market price datasets would be advantageous. As part of our team, you will have the opportunity to work on a first-of-its-kind PropTech solution in India. We offer a flexible work location and the chance to make a direct impact on improving real estate transparency. If you are ready to take on this exciting challenge, send your resume and portfolio to info@propertycibil.com to apply now.,

Job Summary: We are seeking a motivated and technically proficient Pre-Sales GIS Engineer to support our sales team by providing technical expertise and tailored geospatial solutions to prospective clients. You will play a key role in understanding client requirements, demonstrating product capabilities, and designing GIS-based solutions that align with business goals. Your strong knowledge of GIS technologies, spatial data, and customer engagement will be vital in driving successful sales engagements. Key Responsibilities: Collaborate with the sales team to understand client needs and propose suitable GIS & remote sensing solutions. Prepare the demos, presentations, and proposals. liaison with product specialist for in-depth technical proposal documentation. Analyze customer requirements and translate them into solutions. Develop technical proposals, proof of concepts (POCs), and solution documentation. Respond to RFPs/RFIs with accurate and tailored technical content. Stay up to date with industry trends, emerging GIS technologies, and competitor offerings. Assist in onboarding and knowledge transfer to implementation teams post-sale. Represent the company at industry events, conferences, and client meetings. Qualifications: Bachelor’s or Master’s degree in Geoinformatics, Geography, Computer Science, Engineering, or a related field. 2+ years of experience in a GIS-related role, ideally in a pre-sales, consulting, or technical support capacity. Proficiency with leading GIS platforms (e.g., QGIS, GeoServer, Google Earth Engine). Familiarity with spatial databases (PostGIS, Oracle Spatial) and web mapping services (WMS, WFS, REST APIs). Strong presentation, communication, and client engagement skills. Ability to simplify complex technical concepts for non-technical audiences. Strong problem-solving skills and a customer-first mindset. Preferred Skills: Experience with remote sensing, imagery analysis, or geospatial AI/ML. Understanding of cloud-based GIS (ArcGIS Online, AWS, Azure GIS services). What We Offer: Competitive salary and performance-based incentives. Opportunities for professional development and certification. Flexible work environment. A collaborative team passionate about geospatial innovation. To Apply: Submit your resume and a brief cover letter explaining your GIS experience and interest in the role to coordinator@satpalda.com

Responsibilities: Develop and maintain Python-based applications with GIS capabilities. Work with geospatial libraries (GeoPandas, Shapely, GDAL, PyProj, etc.) for spatial data processing and analysis. Integrate GIS functionalities into APIs and web applications. Manage spatial databases (PostGIS/Spatialite) and handle large geospatial datasets. Perform spatial analysis, generate maps, and produce geospatial visualizations. Collaborate with cross-functional teams to deliver scalable GIS solutions. Requirements: Minimum 1 year of experience as a Python Developer. Strong understanding of Python frameworks (Django/Flask). Hands-on experience with GIS concepts and libraries. Knowledge of coordinate systems, spatial queries, and mapping tools. Familiarity with REST APIs and spatial data handling. Nice to Have: Experience with cloud GIS services (AWS, Mapbox, Google Maps). Exposure to machine learning for spatial data. Knowledge of front-end GIS tools (Leaflet, OpenLayers). Benefits: Competitive salary. Opportunity to work on challenging GIS projects. Flexible working environment and career growth opportunities. Job Type: Contractual / Temporary Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Work Location: In person

Ruby on Rails Full-Stack Developer Job Summary: About Mapulus: Mapulus is a location intelligence platform helping businesses answer complex “where” questions. We deliver advanced geospatial analytics, mapping, and optimization tools to industries like healthcare, construction, and logistics, enabling them to operate more efficiently and make smarter decisions. What You’ll Do: · Build and maintain full-stack features using Ruby on Rails and Stimulus + Hotwire · Work with PostGIS/PostgreSQL for advanced spatial data handling · Implement interactive mapping features with Mapbox , Google Maps APIs , and Deck.gl · Design scalable and performant Rails APIs for geospatial data visualization · Improve UX/UI for mapping and dashboards within a Hotwire-based architecture · Optimize performance for large datasets and real-time updates · Write and maintain tests using MiniTest (with WebMock and VCR for API stubbing) · Contribute to CI/CD pipelines and deployment automation Tech Stack: · Backend: Ruby on Rails, Sidekiq, Redis · Frontend: Stimulus, Hotwire, TailwindCSS · Database: PostgreSQL + PostGIS · Mapping: Mapbox, Google Maps, Deck.gl · Hosting: Heroku, AWS S3 + CloudFront · Testing: MiniTest, WebMock, VCR What We’re Looking For: · Strong experience with Ruby on Rails and Hotwire/Stimulus · Experience with PostgreSQL , ideally with PostGIS for spatial queries · Comfortable with Turbo Streams and real-time updates in Rails apps · Familiarity with RESTful APIs and data visualization · Ability to write clean, maintainable, and well-tested code Nice to Have: · Experience with geospatial tools and mapping libraries (Mapbox, Deck.gl, Turf.js, H3) · Familiarity with CI/CD pipelines and deployment automation · Knowledge of background job systems (Sidekiq) and large dataset performance optimization · Previous experience in SaaS or analytics-heavy products Why Join Mapulus? · Work on geospatial challenges that matter in healthcare, construction, and logistics · Build meaningful software that makes location intelligence accessible · Join an early-stage startup where your work drives core product evolution · Flexible and remote-first work culture

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . We are seeking an exceptional Principal Data Scientist with 15+ years of experience to lead technical innovation in Shipments ETA prediction across multiple transportation modes. This senior individual contributor role requires deep expertise in predictive modeling, supply chain analytics, and transportation logistics, with particular strength in regression problems and modern deep learning architectures. You will be the technical authority driving ETA accuracy improvements for Full Truck Load (FTL), Less-than-Truckload (LTL), Parcel, and complex multi-pickup/delivery scenarios. What you'll be doing Technical Leadership & Innovation ETA Modeling Excellence : Design and implement state-of-the-art predictive models for shipment ETAs across FTL, LTL, Parcel, and multi-stop delivery scenarios Cross-Modal Optimization : Develop unified frameworks that account for mode-specific characteristics while maintaining consistency across transportation types Complex Routing Intelligence : Build sophisticated models for multi-pickup and delivery scenarios with dynamic routing optimization Real-time Prediction Systems : Architect scalable solutions that provide accurate ETAs with sub-second latency for millions of shipments Advanced Analytics & Research Time Series Mastery : Lead development of advanced time series models incorporating seasonality, weather, traffic, and operational constraints Geospatial Analytics : Implement cutting-edge location-based models combining GPS tracking, route optimization, and historical patterns Feature Engineering Innovation : Create novel features from telematics data, driver behavior, carrier performance, and external data sources Uncertainty Quantification : Develop probabilistic models that provide confidence intervals and risk assessments for ETA predictions Strategic Technical Influence Architecture Design : Define the technical roadmap for ETA prediction systems, balancing accuracy, scalability, and operational efficiency Cross-Functional Collaboration : Partner with Product, Engineering, and Operations teams to translate business requirements into technical solutions Industry Leadership : Represent the company at conferences, publish research, and establish thought leadership in transportation analytics Mentorship & Knowledge Transfer : Guide junior data scientists and establish best practices for transportation modeling Who You are Education & Experience Master's degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Industrial Engineering, or related quantitative field (required) 15+ years of data science experience with at least 5 years in transportation, logistics, or supply chain analytics Deep ETA/Transportation Knowledge : Proven track record of building production ETA systems for multiple transportation modes Supply Chain Expertise : Understanding of logistics operations, carrier networks, and transportation economics Scalable Systems Experience : Experience with high-volume, real-time prediction systems serving millions of requests Technical Excellence Core Data Science Mastery Expert-level EDA skills : Advanced proficiency in transportation data analysis, anomaly detection, and pattern recognition Advanced Regression Modeling : Deep expertise in time series regression, spatial regression, and hierarchical modeling Deep Learning Expertise : Hands-on experience with sequence models, attention mechanisms, and transformer architectures for temporal prediction Statistical Modeling : Mastery of Bayesian methods, survival analysis, and probabilistic forecasting Specialized Transportation Skills Geospatial Analytics : Proficiency with PostGIS, spatial indexing, routing algorithms, and map-matching techniques Time Series Forecasting : Advanced knowledge of ARIMA, state-space models, neural forecasting (LSTM, GRU, Transformers) Optimization Methods : Experience with route optimization, network flow problems, and multi-objective optimization Real-time Systems : Understanding of streaming data processing, model serving, and low-latency prediction systems Technical Infrastructure Programming Mastery : Expert-level Python/R with pandas, numpy, scikit-learn, TensorFlow/PyTorch, and transportation-specific libraries Big Data Platforms : Experience with Spark, Kafka, and distributed computing for large-scale transportation data Database Systems : Advanced SQL skills with time-series databases (InfluxDB, TimescaleDB) and spatial databases Cloud & MLOps : Proficiency with cloud platforms (AWS, GCP, Azure), containerization, and ML deployment pipelines Preferred Qualifications Advanced Degree : PhD in Data Science, Statistics, Computer Science, Mathematics, Operations Research, Industrial Engineering, Transportation Engineering, or related quantitative field Domain Certifications : Professional certifications in supply chain, logistics, or transportation (APICS, CSCMP, SOLE, etc.) Industry Recognition : Publications in transportation/logistics conferences (INFORMS, TRB) or top-tier ML venues Leadership Experience : Track record of leading technical initiatives and influencing product strategy Open Source Contributions : Contributions to transportation analytics or forecasting libraries Transportation Domain Challenges You'll Solv eMulti-Modal ETA Complexit yFTL Challenge s: Long-haul routing with driver hours-of-service, fuel stops, and carrier-specific performance pattern sLTL Complexit y: Hub-and-spoke networks with consolidation delays, sorting times, and terminal-specific processin gParcel Dynamic s: Last-mile delivery optimization with address-level precision and delivery attempt modelin gMulti-Stop Scenario s: Complex pickup/delivery sequences with dynamic routing and time window constraint sAdvanced Technical Problem sData Fusio n: Integrating GPS tracking, weather data, traffic patterns, carrier performance, and operational constraint sUncertainty Modelin g: Providing confidence intervals and risk assessments for critical shipment sReal-time Adaptatio n: Updating predictions as new information becomes available during transi tPerformance Optimizatio n: Balancing model complexity with sub-second prediction requirement sWhat You can expect from the rol eTechnical Excellenc e: Access to cutting-edge infrastructure, datasets, and research resource sIndustry Impac t: Opportunity to shape the future of transportation analytics and supply chain optimizatio nProfessional Growt h: Conference speaking opportunities, research publication support, and industry networkin gInnovation Environmen t: Collaborative culture with world-class engineering and product team s

We are looking for a highly skilled and motivated Full Stack Software Engineer to join our multinational team specializing in the Geospatial domain, including Location-Based Services (LBS) and Geographic Information Systems (GIS). As a Full Stack Software Engineer, your main focus will be on developing and enhancing sophisticated geospatial platforms and applications. You will need expertise in technologies such as Java, Spring-boot, Python, Vue.js, and AWS cloud services. Your passion for building high-quality, scalable, and impactful software solutions leveraging geographic data and spatial analysis will be crucial for this role. Responsibilities: - Design, develop, test, deploy, and maintain robust and scalable web applications and services for geospatial data processing, visualization, and analysis using Vue.js for the front-end and Java (with Spring-boot) and Python for back-end development. - Collaborate effectively with cross-functional, multinational teams to deliver high-quality geospatial software solutions. - Develop user-facing mapping interfaces and geospatial tools, ensuring seamless performance and intuitive user experience. - Build reusable components and front-end libraries for geospatial applications using Vue.js. - Develop efficient, reusable, and reliable code in Java and Python for geospatial algorithms, data processing pipelines, and API development. - Optimize applications for maximum speed, scalability, and responsiveness, especially when handling large geospatial datasets. - Implement robust security and data protection measures considering the sensitivity of location data. - Design, manage, and optimize AWS cloud infrastructure for hosting and scaling geospatial applications and services. - Work with various geospatial data formats and database systems. - Participate actively in code reviews to maintain code quality and foster a collaborative development environment. - Troubleshoot, debug, and upgrade existing geospatial software to ensure platform stability and performance. - Contribute to all phases of the software development lifecycle from concept and design through testing and deployment on cloud platforms like AWS. - Stay updated with emerging technologies in GIS, LBS, new AWS services relevant to geospatial data, and industry best practices to drive innovation. Requirements: - 1 to 5 years of relevant experience as a Software Engineer with a focus on geospatial applications. - Proficiency in Java, Spring-boot, Python, Vue.js, and AWS cloud services. - Experience with front-end frameworks like Vue.js and back-end technologies like Java and Python. - Strong understanding of object-oriented programming principles and RESTful APIs. - Familiarity with database technologies, especially PostgreSQL with PostGIS extension. - Experience with cloud platforms, particularly AWS, and GIS tools and libraries. - Bachelor's degree in Computer Science, Electronics, or Electrical Engineering. Benefits: - Comprehensive Employee Benefits including health & wellness, life and health insurance, and enrollment option for the National Pension Scheme. - Flexible Work Arrangements, generous leave policy, team off-sites & social events, and performance bonuses.,

As a Senior Software Engineer - Analytics at LogiNext, you will be tasked with the exciting opportunity to build data products that extract valuable business insights for efficiency and customer experience. Your role will involve managing, processing, and analyzing large amounts of raw information within scalable databases. You will also be responsible for developing unique data structures and writing algorithms for innovative products. Your critical thinking and problem-solving skills will be put to the test as you delve into software development with advanced algorithms and tackle large volumes of data. Experience with statistics and machine learning algorithms will be highly beneficial for this role. Additionally, familiarity with the cloud environment, continuous integration, and agile scrum processes is a plus. Responsibilities: - Develop software that integrates data-driven intelligence into products dealing with Big Data backends - Conduct exploratory analysis of data to design efficient data structures and algorithms based on requirements - Implement advanced algorithm development, potentially involving machine learning models and pipelines - Manage data in large-scale data stores (e.g., NoSQL DBs, time series DBs, Geospatial DBs) - Create metrics and evaluate algorithms for improved accuracy and recall - Ensure efficient data access and usage through techniques like indexing and clustering - Collaborate with engineering and product development teams Requirements: - Master's or Bachelor's degree in Engineering (Computer Science, Information Technology, Information Systems) from a top-tier school or a master's degree or higher in Statistics, Mathematics, with a software development background - 4 to 7 years of experience in product development with algorithmic work - 3+ years of experience working with large data sets or performing large-scale quantitative analysis - Understanding of SaaS-based products and services - Strong algorithmic problem-solving skills - Ability to mentor and manage teams, taking responsibility for team deadlines - Proficiency in Python programming - Experience with data processing analytics and visualization tools in Python (e.g., pandas, matplotlib, Scipy) - Strong understanding of SQL and querying NoSQL databases (e.g., Mongo, Cassandra, Redis) - Knowledge of working with and managing large databases, including indexing, sharding, caching, etc. - Exposure to Big Data technologies like Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive - Familiarity with machine learning algorithms - Exposure to geospatial data stores, with knowledge of PostGIS considered a plus - Desirable experience with data visualization In this role, you will play a crucial part in shaping data products that drive business efficiency and enhance customer experiences. Your expertise and skills will contribute to the development of cutting-edge solutions in the field of analytics.,

GlobalLogic is looking for a detail-oriented and technically skilled Senior Analyst - HD Mapping to oversee the analysis, validation, and integration of high-definition (HD) maps utilized in advanced navigation systems and autonomous vehicle technologies. As the Senior Analyst, you will need to have a solid background in geospatial data analysis, map content creation, and proficiency with GIS tools, LiDAR data, and HD map specifications. Requirements: - Bachelor's or Master's degree in Geomatics, GIS, Remote Sensing, Computer Science, Civil Engineering, or a related field. - 3-5 years of experience in HD mapping, GIS analysis, or autonomous vehicle-related mapping projects. - Proficiency with spatial analysis tools like ArcGIS, QGIS, FME, or PostGIS. - Hands-on experience with HD map formats such as OpenDrive, NDS, Lanelet2, HERE HD Live Map, etc. - Familiarity with LiDAR data processing and point cloud classification. - Strong understanding of road network modeling, lane-level features, and map attribute standards. - Ability to interpret and apply localization and sensor data to validate map accuracy. - Strong problem-solving skills, attention to detail, and ability to work independently or as part of a team. Preferred Skills: - Experience with ADAS/autonomous vehicle platforms such as Apollo, Autoware, NVIDIA DRIVE. - Knowledge of SLAM, sensor fusion, and localization techniques. - Exposure to cloud mapping platforms like AWS, Azure Maps, or Google Maps APIs. - Previous experience with change detection, temporal updates, or AI-assisted annotation tools. Responsibilities: - Analyze and process spatial data to generate and maintain HD maps for ADAS and autonomous driving. - Validate map features such as road geometries, lane markings, traffic signs/signals, and barriers using various data sources. - Collaborate with cross-functional teams to define mapping requirements. - Perform QA/QC of HD map datasets for completeness, accuracy, and consistency. - Extract features and annotations from point cloud and imagery data. - Implement change detection algorithms to ensure map freshness. - Work with map production pipelines and versioning systems to track updates. - Review and enhance mapping specifications, annotation standards, and internal documentation. At GlobalLogic, we offer a culture of caring, learning and development opportunities, interesting and meaningful work, balance and flexibility, and a high-trust environment. As a trusted digital engineering partner, GlobalLogic collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. Join us to be a part of the digital revolution and work on cutting-edge solutions shaping the world today.,

Role Description We are hiring a Senior Environmental Data Scientist to lead the technical development of nature and biodiversity data solutions. This is a high-impact individual contributor role for an environmental scientist first and foremost who is additionally an accomplished data scientist and programmer. You’ll be responsible for transforming scientific research into scalable analytics, building robust environmental data products, and supporting product development through direct technical contribution. You will also play a soft leadership role — supporting and mentoring junior data scientists, guiding generalists on environmental matters, and helping shape the long-term data science capacity of the Nature & Biodiversity team. This is a senior-level hire with a clear path to team leadership as our company grows. You will report to the Head of Nature & Biodiversity Products . Job Duties And Responsibilities Lead Development of Data Solutions: Design and implement advanced data pipelines, metrics, and models that assess how businesses interface with nature. Apply Environmental Science at Scale: Translate robust environmental science into analytical workflows that can support business decisions and regulatory needs. Drive Methodological Rigor: Incorporate peer-reviewed methodologies and scientific best practices into product development; stay ahead of innovations in the field. Architect Scalable Data Solutions: Develop performant, production-ready code and collaborate with engineers to build tools for spatial, temporal, and exploratory analysis. Mentor and Guide: Support junior data scientists, serve as the go-to environmental expert across functions, and help build the team’s overall environmental data science capacity. Engage with Frameworks: Apply knowledge of sustainability disclosure and risk frameworks (e.g. TNFD, ESRS, SBTN, SFDR) to develop solutions that meet evolving stakeholder needs. Collaborate and Communicate: Work cross-functionally with product, research, and engineering teams to translate scientific insight into real-world impact. Represent your work with external stakeholders as needed. Requirements Experience, Qualifications And Skills Environmental Expertise: PhD (preferred) or Master’s in environmental science, ecology, conservation, geosciences, or a closely related field. Experience: 5+ years applying data science to environmental or sustainability contexts; experience in a product-oriented or startup environment is a must. Programming & Engineering: Expert Python developer with strong engineering discipline (e.g., Git, unit testing, CI/CD); experience building high-quality analytical code. Geospatial & Remote Sensing: Advanced skills in spatial analysis, GIS tools, and remote sensing data workflows (e.g., raster/vector processing, spatial joins, indexing). Data Science & Machine Learning: Proficiency in statistical modelling, spatial ML, and fundamental AI/ML methods (e.g., scikit-learn, PyTorch, foundation models). Data Systems: Hands-on experience with relational and spatial databases (e.g., PostGIS), cloud data tools (e.g., Snowflake), and handling unstructured and structured data. Framework Fluency: Demonstrated ability to interpret and implement solutions aligned with environmental frameworks such as TNFD, ESRS, SFDR, and SBTN. Communication: Ability to explain complex ideas clearly to both technical and non-technical audiences; experience with data storytelling and visualization is a plus. Team Fit: Collaborative, proactive, impact-driven, and adaptable — comfortable with the fast pace and opportunities of a growing startup. Preferred Qualifications Deep experience with one or more particular nature-related domains, such as: biodiversity impact modeling; physical risk analysis; nature risk valuation. Experience contributing to or leading cross-disciplinary scientific or open-source projects. Work experience at corporate sustainability offices, financial institutions, regulatory bodies, or nature data providers.

Company Description Prolincur Technologies specializes in customized software development services focusing on 3D spatial technology, including CAD, GIS, and BIM. They empower businesses by leveraging 3D spatial data to create solutions like Digital Twin platforms, point cloud manipulations and custom 3D product configurators. Their diverse client base ranges from startups to Fortune 500 companies in industries such as AEC, industrial, urban planning, medical, and e-commerce. Our Values Integrity – Be honest and have strong moral principles Respectful and Kind – Be respectful kinds towards peers and others Passionate and Responsible – Be passionate about what you do and be responsible of your actions and decisions Role Description We are seeking a skilled Backend Developer with expertise in JavaScript/Python, ExpressJS/FastAPI, PostgreSQL, PostGIS. The ideal candidate will have a strong background in building scalable and efficient backend systems and possess a passion for solving complex problems. The developer will be responsible for back-end web development tasks related to 3D spatial technology, including CAD and GIS, data modeling, processing, workflow orchestration, scheduling, stream-processing etc.. They will use their skills in Object-Oriented Programming (OOP) to contribute to software development projects. Key Responsibilities: Design, develop, and maintain backend services and APIs. Create and optimize database schemas, manage data models, and handle data processing tasks. Integrate with PostgreSQL and PostGIS for spatial and non-spatial data management. Implement asynchronous task processing and workflow orchestration. Collaborate with front-end developers and other team members to deliver high-quality solutions. Ensure the performance, security, and reliability of backend systems. Participate in code reviews, debugging, and troubleshooting to maintain code quality. Stay updated with industry trends and best practices to continuously improve our systems. Requirements: Strong proficiency in either of Python/FastAPI or Nodejs/ExpressJS. Solid understanding of relational databases, particularly PostgreSQL, and spatial databases such as PostGIS. Strong proficiency in spatial data processing, queries and storage Experience with asynchronous task processing frameworks Knowledge of data modeling, schema design, and data processing techniques. Understanding of microservices architecture and containerization (Docker). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience with cloud platforms (e.g., AWS, GCP, Azure). Knowledge of DevOps practices and CI/CD pipelines. Educational Qualifications: MSc. or ME. in GeoInformatic or GIS related field 3-5 years of experience as GIS backend developer is mandatory Hands-on experience with geospatial query is mandatory Benefits: Competitive salary and benefits package. Opportunity to work on challenging and impactful projects. Collaborative and innovative work environment. Professional growth and development opportunities. How to Apply: If you are passionate about backend development and GIS, and want to be part of a forward-thinking team, we would love to hear from you! Please send your resume and a cover letter to hr[at]prolincur.com with the subject line " Backend Developer Application - [Your Name] "

You will be working offshore as part of an onsite delivery model, focusing on supporting the integration and analysis of spatial datasets through your expertise in Python, PySpark, and geospatial data processing. Your role will involve developing and maintaining scalable ETL pipelines, working with large geospatial datasets from various sources, integrating geospatial data with enterprise systems, and optimizing queries and data transformations for performance and accuracy. Additionally, you will collaborate with data scientists, GIS analysts, and business users to deliver data solutions, troubleshoot data issues, and support production data workflows. Your strong hands-on experience with PySpark, advanced Python programming skills, and familiarity with geospatial libraries such as GeoPandas, Shapely, Fiona, Rasterio, or GDAL will be crucial for this role. You should also have knowledge of spatial databases like PostGIS or GeoServer, experience with data lakes, big data processing, and cloud platforms (Azure/AWS/GCP preferred), and a solid understanding of data structures, algorithms, and spatial indexing. It would be beneficial to have familiarity with MapReduce, Hive, or Databricks, prior experience in geospatial analytics, remote sensing, or urban planning domains, and knowledge of DevOps, CI/CD pipelines, and containerization tools (Docker, Kubernetes). Strong soft skills such as excellent communication and collaboration abilities, a problem-solving mindset, attention to detail, and the ability to work independently in a client-facing onsite role will also be essential for success in this position.,

Job Description: As an ArcGIS Pro SDK & .NET (WPF) Developer, you will be responsible for developing and enhancing GIS applications using ArcGIS Pro SDK for .NET. Your role will involve designing and implementing WPF-based UI/UX components for GIS solutions, working with ArcGIS Runtime SDK and ArcGIS API for .NET to integrate mapping functionalities, optimizing application performance, and troubleshooting GIS-related issues. You will collaborate with GIS analysts, developers, and stakeholders to gather requirements and implement geospatial data processing, analysis, and visualization features. Required Skills: - Proficiency in C# .NET and WPF (MVVM pattern). - Experience with ArcGIS Pro SDK for .NET. - Knowledge of GIS concepts, spatial data, and geoprocessing tools. - Strong understanding of REST APIs, JSON, and geospatial databases. - Familiarity with Entity Framework, SQL Server/PostGIS is a plus. - Experience with version control (Git, Azure DevOps, or similar). This role is located in Bangalore, Mysore, Pune, and Hyderabad. If you are passionate about GIS development, have a strong background in .NET development, and possess the skills mentioned above, we encourage you to apply and be part of our dynamic team shaping the future of GIS applications.,

As a fast-growing company dedicated to data management, Tessell is at the forefront of developing cutting-edge products poised to revolutionize the data management industry. We pride ourselves on our team of talented individuals who are deeply passionate about pushing the boundaries of technology and innovation. Joining our engineering team means you will play a pivotal role in driving significant impact right from the get-go. In the role of an Open Source PostgreSQL Database Engineer at Tessell, you will be entrusted with the crucial task of conceptualizing, crafting, and optimizing our PostgreSQL infrastructure. Your responsibilities will extend to shaping the future of PostgreSQL, ensuring that our database solutions are not only highly scalable and reliable but also remarkably performant. This position presents an exciting opportunity to engage with the forefront of database technology while collaborating with a diverse, global open-source community. You will have the privilege of making meaningful contributions to one of the most extensively utilized databases worldwide. Your key responsibilities will include designing and implementing scalable, high-performance PostgreSQL database solutions for intricate, large-scale applications. You will conduct database tuning, optimization, and troubleshooting to guarantee high availability, fault tolerance, and performance at scale. Moreover, you will collaborate closely with product and engineering teams to seamlessly integrate PostgreSQL into existing systems, offering insights and solutions for data architecture and storage challenges. Advanced features like replication, clustering, partitioning, and sharding will also fall within your ambit to support data-intensive applications. Ensuring that security best practices are rigorously adhered to, managing roles, encryption, auditing, and compliance requirements will form an integral part of your role. You will be responsible for monitoring and maintaining PostgreSQL instances in production environments, safeguarding their stability, availability, and uptime. Additionally, you will contribute to the creation and upkeep of internal tools for automation and database management. Staying abreast of the latest PostgreSQL developments, emerging database trends, and actively contributing to the open-source community by sharing knowledge will also be expected from you. **Required Qualifications:** - Extensive experience in PostgreSQL, encompassing setup, configuration, and tuning. - Deep understanding of PostgreSQL internals, including storage engines, query planners, optimizers, and indexing. - Proficiency in implementing high availability solutions for PostgreSQL like replication, clustering, and failover. - Adept at performance tuning and optimization techniques for PostgreSQL databases at scale. - Familiarity with cloud-based PostgreSQL solutions such as AWS RDS, Google Cloud SQL, etc. - Proficiency in SQL and scripting languages like Python, Bash. - Knowledge of database security principles, encompassing encryption, access control, and auditing. - Prior experience in contributing to or working with open-source projects is advantageous. - Strong problem-solving abilities and adeptness in troubleshooting complex database issues. - Excellent communication skills, enabling effective collaboration with global teams and the open-source community. **Preferred Qualifications:** - Familiarity with PostgreSQL extensions such as PostGIS and TimescaleDB. - Experience with database migration, backup, and recovery strategies. - Knowledge of containerization technologies like Docker, Kubernetes, and orchestration tools. - Familiarity with DevOps practices and CI/CD pipelines. - Contribution to the PostgreSQL codebase or other open-source database projects. **Why Join Us:** - Engage in a high-energy, collaborative startup environment that prioritizes innovation. - Avail opportunities for professional growth and career advancement. - Be a part of a flexible, inclusive, and transparent culture where your ideas are valued. - Directly influence our product, customers, and the overall success of the company.,

As an ideal candidate for this role, you should possess expertise in ESRI products such as ArcGIS Desktop, ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise. Additionally, you must have a good knowledge of other GIS software and tools like QGIS and Google Earth. Your responsibilities will include managing and analyzing spatial data effectively. You should be proficient in geospatial databases such as PostgreSQL/PostGIS, Oracle Spatial, and SQL Server. Proficiency in programming languages like C#, .net, Python, JavaScript, and SQL is essential for this role. Experience with GIS scripting and automation using ArcPy, Add-in Tools, and other relevant tools will be beneficial. Having a good understanding of web GIS technologies and frameworks such as HTML, CSS, JavaScript, Leaflet, React, AngularJS, and ESRIs JavaScript API is important. You should also have experience in developing and deploying web GIS applications. An understanding of remote sensing principles and techniques is required. Your role will involve interpreting spatial data and performing complex spatial analyses. You should have the ability to troubleshoot and resolve technical issues efficiently. Experience in developing innovative solutions for complex GIS problems is a key requirement. Managing multiple tasks and projects simultaneously, as well as prioritizing tasks effectively to meet deadlines, are essential skills for this position.,

You will take ownership of full product features by designing, developing, testing, and deploying them across backend and frontend interfaces. Collaborating with product managers and designers, you will understand requirements and translate them into scalable solutions. Your responsibilities will include writing clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Designing and implementing RESTful APIs, as well as integrating with third-party APIs and tools, will be a key part of your role. Additionally, you will build reusable frontend components using modern frameworks and libraries, optimizing performance for web and mobile platforms, including GIS-heavy map interfaces. In this position, you will also be expected to conduct code reviews, troubleshoot issues, and mentor junior developers when necessary. Monitoring production systems, identifying performance bottlenecks, and deploying fixes proactively will be crucial aspects of your work. Furthermore, you will have the opportunity to contribute to architectural decisions and help shape engineering best practices across the team. Requirements: - Graduated in 2020 or earlier. - 4+ years of industry experience (excluding career breaks). - Proficiency in Python or Java is a must. - Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. - Ability to join within 30 days from offer. Preferred Tech Stack & Tools: - Cloud & Messaging: Google Cloud Platform (GCP), Pub/Sub - Database: PostgreSQL / PostGIS, Redis - Frameworks: Django, FastAPI, Spring Boot - GIS Tools: GDAL, GeoServer - Frontend (nice to have): JavaScript, React or similar - Others: RESTful APIs, CI/CD, Docker, Git, Agile workflows Please note that this Job Description is referenced from hirist.tech.,

Job Description- Golang Developer ANRA Technologies is looking for an experienced and highly motivated Golang Developer to join our dynamic international team of Engineers in our Noida office. In this role you will help design, build and maintain robust backend systems that are scalable, efficient and reliable. You’ll translate business and technical requirements into stable, high-performance software that supports innovative platforms. If you’re passionate about high-quality code, modern architecture, and working in a growing industry, we’d love to meet with you! Company ANRA Technologies, with offices in Washington DC, London, New Delhi and Estonia, is an international provider of drone operations and traffic management solutions for unmanned aircraft systems (UAS) aka Drone operators and airspace managers. We offer intelligent Machine Learning and AI driven traffic management software capabilities for UAS Traffic Management (UTM) and Urban Air Mobility (UAM) operations like “Flying Cars”. Key Responsibilities Write scalable, robust, testable, efficient, and maintainable code using Golang Translate software requirements into stable, working, and high-performance solutions Design, develop, and maintain secure and reliable RESTful APIs Build and maintain microservices that power our SaaS offerings Work with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Develop, test, deploy, and monitor services using containerization (Docker) and CI/CD pipelines Apply Agile/SCRUM best practices throughout the full software development life cycle Participate actively in code reviews, architecture discussions, and technical planning Troubleshoot and resolve complex backend issues Contribute ideas and improvements that help shape our technology roadmap Requirements 3–5 years of professional backend development experience in SaaS 2+ years of hands-on experience with Golang in production Strong experience designing and implementing RESTful APIs Solid experience with SQL databases; NoSQL knowledge and geospatial knowledge such as POSTGIS is a plus Hands-on experience with containerization (Docker) and basic cloud platforms (AWS, GCP, Azure) Familiarity with microservices architecture and distributed systems Solid understanding of unit testing, integration testing, and code quality best practices Strong working knowledge of the full software development life cycle, including Agile/SCRUM Version control experience (Git) Effective communication skills in English for working with our international team Nice to have Professional experience with .NET Core / C# Experience integrating or migrating hybrid tech stacks (.NET + Golang) Familiarity with API documentation tools (Swagger/OpenAPI) Basic understanding of CI/CD pipelines and DevOps practices Qualifications Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field. Job Details: Job Location: Noida, UP Shift: Day Shift Working Days: Mon-Fri Mode: WFO Benefits: Paid Time Off Medical Insurance Training & Development opportunities Global exposure To Apply: Apply via this job post Apply directly to our Career Page https://www.anratechnologies.com/home/golang-backend-software-developer-in/

We are seeking a motivated and technically proficient Pre-Sales GIS Engineer to support our sales team by providing technical expertise and tailored geospatial solutions to prospective clients. You will play a key role in understanding client requirements, demonstrating product capabilities, and designing GIS-based solutions that align with business goals. Your strong knowledge of GIS technologies, spatial data, and customer engagement will be vital in driving successful sales engagements. Key Responsibilities: Collaborate with the sales team to understand client needs and propose suitable GIS & remote sensing solutions. Prepare the demos, presentations, and proposals. liaison with product specialist for in-depth technical proposal documentation. Analyze customer requirements and translate them into solutions. Develop technical proposals, proof of concepts (POCs), and solution documentation. Respond to RFPs/RFIs with accurate and tailored technical content. Stay up to date with industry trends, emerging GIS technologies, and competitor offerings. Assist in onboarding and knowledge transfer to implementation teams post-sale. Represent the company at industry events, conferences, and client meetings. Qualifications: Bachelor’s or Master’s degree in Geoinformatics, Geography, Computer Science, Engineering, or a related field. 2+ years of experience in a GIS-related role, ideally in a pre-sales, consulting, or technical support capacity. Proficiency with leading GIS platforms (e.g., QGIS, GeoServer, Google Earth Engine). Familiarity with spatial databases (PostGIS, Oracle Spatial) and web mapping services (WMS, WFS, REST APIs). Strong presentation, communication, and client engagement skills. Ability to simplify complex technical concepts for non-technical audiences. Strong problem-solving skills and a customer-first mindset. Preferred Skills: Experience with remote sensing, imagery analysis, or geospatial AI/ML. Understanding of cloud-based GIS (ArcGIS Online, AWS, Azure GIS services). What We Offer: Competitive salary and performance-based incentives. Opportunities for professional development and certification. Flexible work environment. A collaborative team passionate about geospatial innovation. To Apply: Submit your resume and a brief cover letter explaining your GIS experience and interest in the role to coordinator@satpalda.com

As a Sr. Software Engineer at Innefu Lab Pvt. Ltd., a Series A funded company specializing in Information Security & Data Analytics using cutting edge technologies like AI for predictive intelligence and Facial Biometrics, you will play a crucial role in our mission to deliver top-notch solutions to our 100+ clients in India. We are seeking a skilled QGIS Developer with over 4 years of experience to join our team. Your primary responsibility will be to leverage your strong expertise in QGIS software, plugins, tools, and libraries to enhance our geospatial data management, analysis, and visualization capabilities. Key Technical Requirements: - Proficiency in GIS software, particularly QGIS, and its various plugins. - In-depth knowledge of data management, analysis, and visualization techniques within QGIS. - Familiarity with scripting languages like Python, R, and SQL. - Experience working with database management systems such as PostgreSQL and MySQL. - Ability to create and manage geospatial databases, design data models, and implement robust solutions. - Understanding of geospatial data formats like shapefiles, geodatabases, and GeoJSON. - Strong grasp of cartographic principles to develop high-quality maps and visualizations. - Skilled in troubleshooting technical issues related to QGIS and related tools. - Exposure to web mapping technologies like OpenLayers, Leaflet, and Mapbox. - Excellent communication skills to convey technical concepts effectively to non-technical stakeholders. - Proficient in problem-solving and developing innovative solutions to complex technical challenges. - Experience with version control systems like Git and SVN. - Attention to detail to ensure data accuracy and completeness. Preferred Qualifications: - Knowledge of spatial analysis techniques such as network analysis, spatial interpolation, and geostatistics. - Certification in relevant areas like QGIS Certified Associate or Professional. - Hands-on experience with QGIS tools and GIS software like ArcGIS, GRASS, and PostGIS. - Familiarity with web mapping technologies, databases (PostgreSQL, MySQL, SQLite), and operating systems (Windows, Linux). Your role will also involve collaborating with cross-functional teams, managing projects independently or as part of a team, and showcasing your problem-solving abilities under tight deadlines. A background in Agile or Scrum methodologies is advantageous for this position. Additionally, we encourage you to present examples of your GIS and QGIS projects along with code samples in your portfolio to demonstrate your technical prowess and experience. If you are a dedicated QGIS Developer with a passion for geospatial technology and a desire to contribute to innovative solutions in the field of Information Security and Data Analytics, we welcome your application to join our dynamic team at Innefu Lab Pvt. Ltd. (Note: This job description is referenced from hirist.tech),

Roles & Responsibilities Take ownership of full product featuresdesign, develop, test, and deploy them across backend and frontend interfaces. Collaborate with product managers and designers to understand requirements and translate them into scalable solutions. Write clean, maintainable, and high-performance code using Python (Django/FastAPI) or Java (Spring Boot). Design and implement RESTful APIs and integrate with third-party APIs and tools. Build reusable frontend components using modern frameworks and libraries. Optimize performance for web and mobile platforms, including GIS-heavy map interfaces. Conduct code reviews, troubleshoot issues, and mentor junior developers as needed. Monitor production systems, identify performance bottlenecks, and deploy fixes proactively. Contribute to architectural decisions and help shape engineering best practices across the team. Requirements Graduated in 2020 or earlier. 4+ years of industry experience (excluding career breaks). Proficiency in Python or Java is a must. Strong understanding of full-stack development, including backend systems, APIs, and frontend interfaces. Must be able to join within 30 days from offer. Preferred Tech Stack & Tools Cloud & Messaging : Google Cloud Platform (GCP), Pub/Sub Database : PostgreSQL / PostGIS, Redis Frameworks : Django, FastAPI, Spring Boot GIS Tools : GDAL, GeoServer Frontend (nice to have) : JavaScript, React or similar Others : RESTful APIs, CI/CD, Docker, Git, Agile workflows (ref:hirist.tech)

We are seeking an experienced and highly skilled PostgreSQL Database Administrator (DBA) to manage, maintain, and optimize our PostgreSQL database systems. The ideal candidate will be responsible for ensuring database availability, security, performance, and scalability. You Will Work Closely With Application Developers, System Engineers, And DevOps Teams To Provide High-quality Data Solutions And Troubleshoot Complex Issues In a Mission-critical Install, configure, and upgrade PostgreSQL databases in high-availability environments Design and implement database architecture, including replication, partitioning, and sharding Perform daily database administration tasks including backups, restores, monitoring, and tuning Optimize queries, indexes, and overall performance of PostgreSQL systems Ensure high availability and disaster recovery by configuring replication (Streaming, Logical) and backup solutions (pgBackRest, Barman, WAL archiving) Implement and maintain security policies, user access control, and encryption Monitor database health using tools such as pgAdmin, Nagios, Zabbix, or other monitoring tools Troubleshoot database-related issues in development, test, and production environments Automate routine tasks using shell scripting, Python, or Ansible Work with DevOps/SRE teams to integrate PostgreSQL into CI/CD pipelines and cloud platforms Technical Expertise Proven experience with PostgreSQL 11+ (latest version experience preferred) Strong knowledge of SQL, PL/pgSQL, database objects, and data types Experience with PostgreSQL replication: streaming, logical, and hot standby Deep understanding of VACUUM, ANALYZE, autovacuum configuration and tuning Knowledge of PostGIS, pgBouncer, and pg_stat_statements is a plus Tuning & Monitoring Query optimization and slow query analysis using EXPLAIN and ANALYZE Experience with database performance monitoring tools (e.g., pg_stat_activity, pgBadger) Strong debugging and troubleshooting of locking, deadlocks, and resource contention issues DevOps Integration PostgreSQL experience on AWS RDS, Azure Database for PostgreSQL, or GCP Cloud SQL Familiarity with IaC tools like Terraform or CloudFormation is a plus Experience with CI/CD integration and containerization tools (Docker, Kubernetes) for DB deployment Compliance Implement role-based access control, data masking, and audit logging Ensure compliance with standards like GDPR, ISO 27001, or SOC 2 where applicable Education Bachelors or Masters degree in Computer Science, Information Technology, or a related field Experience Minimum 4+ years of experience in PostgreSQL database administration PostgreSQL certification (e.g., EDB Certified Associate/Professional) is a plus Experience in 24x7 production environments supporting high-volume transactions Desirable Skills Exposure to multi-tenant architectures Experience migrating from Oracle/MySQL to PostgreSQL Knowledge of NoSQL systems (MongoDB, Redis) is a plus Understanding of data warehousing and ETL processes (ref:hirist.tech)