About GalaxEye Space GalaxEye is pioneering the next generation of Earth Observation (EO) by leveraging advanced SAR and MSI sensors to provide high-resolution satellite imagery and actionable insights. Our mission is to revolutionize geospatial intelligence for industries like agriculture, defense, and disaster management. Role Overview We are looking for a Full Stack Developer (Backend-Focused) to develop and optimize our satellite data platform. While full-stack knowledge is required, your primary expertise should be in backend development, designing scalable APIs, managing data pipelines, and integrating cloud-based services. Key Responsibilities Develop and optimize backend systems for handling satellite data processing and analytics. Design RESTful and GraphQL APIs for seamless integration with frontend and third-party services. Work with databases (SQL & NoSQL) to store, manage, and retrieve large geospatial datasets. Implement microservices architecture and optimize backend performance. Collaborate with frontend developers to ensure seamless API consumption. Optimize cloud-based data processing pipelines for scalability and cost-efficiency. Write clean, maintainable, and well-documented code. Requirements 3-5 years of experience in backend development. Proficiency in Python, Node.js, or Go. Strong experience with Django, Flask, or FastAPI. Hands-on experience with PostgreSQL, MongoDB, or Redis. Expertise in AWS Lambda, ECS, or Kubernetes for scalable backend deployment. Strong knowledge of data structures, algorithms, and system design. Experience with frontend technologies (React, Vue.js) is a plus. Benefits Fair compensation will be provided as per market standards Experience rapid growth and start-up culture Flexible Working Hours Open to explore, discuss and implement new ideas and processes Opportunity to work closely with the Founding Team at GalaxEye Get a chance to work with Advisors holding senior positions and decades of experience

About GalaxEye Space GalaxEye is pioneering the next generation of Earth Observation (EO) by leveraging advanced SAR and MSI sensors to provide high-resolution satellite imagery and actionable insights. Our mission is to revolutionize geospatial intelligence for industries like agriculture, defense, and disaster management. Role Overview We\u2019re looking for a Senior DevOps Engineer to lead the development and operations of our scalable, cloud-native infrastructure that supports real-time satellite data delivery. Youll work closely with engineering, data, and product teams to build robust, automated, and secure systems that can handle large volumes of EO data with minimal downtime. This is a high-impact role in a fast-paced environment where reliability and performance are mission-critical. Key Responsibilities \u25CF Architect and manage highly available, fault-tolerant infrastructure on cloud platforms like AWS, GCP, or Azure. \u25CF Design and maintain CI/CD pipelines to enable smooth, automated deployments and rollbacks. \u25CF Build and maintain infrastructure as code using Terraform, and manage containerized environments with Kubernetes and Docker. \u25CF Implement system observability, including centralized logging, performance monitoring, and alerting. \u25CF Ensure system security, compliance, and identity management (IAM, encryption, secure networking). \u25CF Lead incident response, root cause analysis, and ongoing system hardening. \u25CF Partner with backend engineers to ensure performance, scalability, and seamless integration with microservices. \u25CF Optimize cloud spend and resource allocation based on system load and business goals. \u25CF Contribute to and maintain internal DevOps best practices and documentation. Requirements Required Skills & Qualifications \u200b \u25CF 3-5 years of experience in cloud infrastructure, DevOps, or SRE roles. \u25CF Strong knowledge of Python for automation and scripting. Familiarity with monitoring and logging frameworks (e.g., Prometheus, Granada, ELK, Datadog). \u25CF Hands-on experience with Kubernetes, Docker, Terraform, and CI/CD pipelines. \u25CF Experience working with cloud providers like AWS, GCP, or Azure. \u25CF Proficiency in Linux system administration and networking concepts. \u25CF Strong problem-solving skills and ability to work in a fast-paced environment. \u25CF Knowledge of satellite technology and geospatial data processing is a plus. Benefits Benefits \u25CF Fair compensation will be provided as per market standards \u25CF Experience rapid growth and start-up culture \u25CF Flexible Working Hours \u25CF Open to explore, discuss and implement new ideas and processes \u25CF Opportunity to work closely with the Founding Team at GalaxEye \u25CF Get a chance to work with Advisors holding senior positions and decades of experience

The Human Resource Manager will lead and direct the routine functions of the Human Resources (HR) department including hiring and interviewing staff, administering pay, benefits, and leave, and enforcing company policies and practices. Responsibilities and duties: Managing employee onboarding, briefing, and off-boarding Developing, implementing, and defining hiring strategies for different positions within the company Handling employee relations, grievances, demands, as well as conflict resolution Overseeing recruitment and selecting suitable candidates Creating, managing employee policies, and maintaining personnel records and associated data Conducting employee training, assignments, and scheduling Ensuring all policies within the company are legally sound Taking disciplinary actions when required, documenting all actions Requirements Understanding of Recruitment techniques and hiring processes Knowledge of law pertaining to employment Prior experience in performance management Employee wage structure and classifications Workforce management Policy research, creation, and management Conflict de-escalation and resolution Benefits Fair compensation will be provided as per market standards Experience rapid growth and start-up culture Flexible Working Hours Open to explore, discuss and implement new ideas and processes Opportunity to work closely with the Founding Team at GalaxEye Get a chance to work with Advisors holding senior positions and decades of experience

Job Summary: GalaxEye Space is seeking a highly motivated and skilled DSP Engineer to join our growing Signal Processing team. This role will be crucial for the research, design, and development of novel SAR processing algorithms, pushing the boundaries of whats possible with Earth observation data. The successful candidate will play a key role in advancing our core SAR capabilities, from raw signal to high-quality data products. Key Responsibilities: Algorithm Research Development: Conduct in-depth research into advanced radar signal processing algorithms, including but not limited to: SAR image formation algorithms MIMO Radars Clutter suppression and interference mitigation Radiometric and geometric calibration InSAR (Interferometric SAR) SAR despeckling and noise reduction Modeling and Simulation: Develop and utilize advanced simulations to model SAR sensor performance, validate algorithm concepts, and predict system behavior. Prototyping and Implementation: Rapidly prototype and implement new algorithms in software (e.g., Python, C++) for evaluation and integration into the processing pipeline. Collaboration: Work closely with the hardware engineering, mission operations, and data products teams to understand sensor characteristics, mission requirements, and downstream data product needs. Documentation: Prepare comprehensive technical documentation, including algorithm specifications, design documents, and research findings. Innovation: Stay abreast of the latest advancements in SAR signal processing, remote sensing, and related fields, and propose innovative solutions to complex challenges. Requirements Education: Masters or Ph.D. in Electrical Engineering, Signal Processing, Remote Sensing, Physics, or a closely related field. Experience: 2+ years of hands-on experience in Digital Signal Processing, with a strong emphasis on Synthetic Aperture Radar (SAR) systems and algorithms. SAR Expertise: Understanding of SAR principles, SAR image formation, and various SAR processing techniques is an added advantage. DSP Fundamentals: Strong theoretical foundation in digital signal processing, including Fourier transforms, filter design, sampling theory, and statistical signal processing. Programming Skills: Proficiency in at least one of the following: Python: Especially with libraries like NumPy, SciPy, scikit-image, Dask, etc. C++: For high-performance computing and testing Analytical Skills: Excellent problem-solving abilities and a strong analytical mindset. Communication: Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly. Benefits Fair compensation will be provided as per market standards Experience rapid growth and start-up culture Flexible Working Hours Open to explore, discuss and implement new ideas and processes Opportunity to work closely with the Founding Team at GalaxEye Get a chance to work with Advisors holding senior positions and decades of experience

About GalaxEye Space GalaxEye is pioneering the next generation of Earth Observation (EO) by leveraging advanced SAR and MSI sensors to provide high-resolution satellite imagery and actionable insights. Our mission is to revolutionize geospatial intelligence for industries like agriculture, defense, and disaster management. Role Overview We are hiring a Python Cloud Developer with a SaaS background to develop cloud-native applications for our satellite analytics platform. You will be responsible for building scalable backend services, optimizing cloud deployments, and ensuring seamless integration with AI-driven geospatial models. Key Responsibilities Develop cloud-native Python applications for satellite data processing. Design and deploy serverless architectures on AWS, GCP, or Azure. Optimize and scale backend services handling large geospatial datasets. Integrate APIs and microservices with front-end applications. Implement security best practices for cloud-based SaaS solutions. Work with data scientists to integrate AI/ML models into production. Automate deployment and monitoring using CI/CD pipelines. Requirements 3-5 years of experience in Python development on cloud. Strong understanding of SaaS architectures and cloud-native development. Hands-on experience with FastAPI, Flask, or Django. Experience working with AWS Lambda, API Gateway, and DynamoDB. Knowledge of Kubernetes, Docker, and Terraform. Experience handling high-throughput data processing. Strong problem-solving and debugging skills. Benefits Fair compensation will be provided as per market standards Experience rapid growth and start-up culture Flexible Working Hours Open to explore, discuss and implement new ideas and processes Opportunity to work closely with the Founding Team at GalaxEye Get a chance to work with Advisors holding senior positions and decades of experience

GalaxEye is a space tech pioneer in unobstructed, unfettered, continuous Earth Observation. It brings together SAR + MSI capabilities on Satellites to create images that are free of limitations brought with cloud cover. GalaxEye\ vision is to create a constellation of satellites, beginning with Mission Drishti, that sees beyond any fog or clouds, watching over Mother Earth. Earth Observation data the way you need it, data the day you need it. Join our dynamic team and contribute to shaping the future of satellite data. We are looking for a person to join us in building GalaxEye as Business Operations Associate. Whether you come with experience or are a person with impeccable common sense and decision making skills with a zeal to expand your horizons, we would be glad to have you be part of our team. Career Progression for the Role Beginning with managing the End-to-End Procurement process, you will progress to being the face of the organization in building relationships with external stakeholders - in this case technology vendors with potential for tech partnerships; Government stakeholders for ease of transit of material. You have the chance to help build the business operations process, practices and platforms to create systems optimized for efficiency. Qualifications 2+ years Experience in hardware procurement/2+ years of experience in operations generalist or founders\u2019 office roles Requirements Key Requirements for the Role - Familiarity with hardware procurement - domestic and international. Even if you do not have the said experience but want to learn how to build technical and financial partnership, you should apply. Procurement for hardware deep tech is a nuanced exercise. You need to understand the requirements of the Tech team and delve deeper into understanding the tech and apply first principles of creating availability. This includes finding new vendors, liaisoning with larger tech vendors for tech and research partnerships. Building or possessing understanding of the hardware procurement ecosystem [especially geospatial] to find the most efficient deals - lead times, cost, import duties, freight process time, budget management. Understanding of procurement procedures - Purchase Order creations; managing cost centres; favourable terms of payments; terms and conditions for purchase and delivery of goods and services Knowledge of import procedures. Liasoning with customs clearance authorities and freight partners Inventory management - understanding the tech and apply first principles of creating availability and redundancy management. Understanding of building automation through people, processes and technology.

As part of the ML Data Engineering team, you will be contributing to advancing and managing our satellite imagery data pipeline and infrastructure. You will be collaborating closely with cross-functional teams including the machine learning team, satellite team, and data science specialists. Beyond technical expertise, your role will involve shaping data products, continuous learning, and upholding best practices. Your experience and contributions will be instrumental in driving process improvements and fostering collaboration across the organization. Responsibilities: Data Acquisition & Management: Download satellite imagery from various sources and APIs Curate and organize satellite imagery datasets according to established standards Build and maintain comprehensive data catalogs with proper metadata tagging Ensure data quality and integrity throughout the acquisition process Infrastructure & Storage: Optimize storage costs while maintaining data accessibility and performance Monitor and maintain data backup and recovery systems Data Labeling & Annotation: Coordinate and execute satellite imagery labeling initiatives with data scientists Develop and implement quality control processes for labeled datasets Work with domain experts to establish labeling guidelines and standards Manage labeling workflows and delivery to ML teams MLOps & Pipeline Support: Support the development and maintenance of automated data pipelines Implement data versioning and lineage tracking Collaborate on model training data preparation and validation Assist in deploying and monitoring data processing workflows Cross-functional Collaboration: Work closely with the satellite team to understand data requirements Support the machine learning team with timely data delivery Participate in technical discussions and provide data-driven insights Document processes and maintain technical documentation Requirements Who Should Apply We welcome final-year students, recent graduates, and early-career professionals (0\u20131 year experience) with a passion for data systems and applied ML. We encourage applicants from any academic background with the right technical skills and willingness to learn. Technical Skills: Strong programming knowledge in Python Strong problem-solving skills and debugging ability Strong programming skills in Python and familiarity with data processing libraries (pandas, numpy, etc.) Experience with cloud platforms (AWS, Google Cloud, or Azure) and storage solutions Understanding of database systems (both SQL and NoSQL) Familiarity with data pipeline tools and workflow orchestration Basic knowledge of containerization (Docker) and version control (Git) (Bonus) Understanding of satellite imagery and geospatial formats Personal Attributes: Rapid in response, flexible to changes, and nimble in approach without compromising on the overall quality of work. Develops solutions through an adequate mix of intuition, reason and logic Pushes the collective quality of thought to new limits while trusting and respecting others skillsets & intentions Communicates with utmost clarity, while maintaining the highest standards of candor Adopts simplicity as a clutter breaking mechanism to waste fewer resources and time Strives for perfection, iteratively, to deliver work that is above and beyond accepted standards of excellence Work Experience Entry-level position suitable for recent graduates or candidates with 0-1 years of relevant experience in data engineering, data science, or related fields Benefits Learning & Growth: Hands-on experience with cutting-edge satellite imagery and geospatial technologies Exposure to enterprise-scale data infrastructure and MLOps practices Mentorship from experienced data engineers and ML practitioners Opportunity to work on real-world problems with global impact Technical Exposure: Work with petabyte-scale satellite imagery datasets Learn industry best practices for data governance and quality management Gain experience with modern data stack and infrastructure-as-code Understand the complete ML lifecycle from data to deployment Career Development: \u200b Clear path for conversion to full-time role based on performance Opportunity to shape and influence data strategy and processes Exposure to cross-functional collaboration in a fast-paced environment Access to continuous learning resources and professional development

Company name: GalaxEye ( website ) Location: Hybrid, 50% time in GalaxEye, Bangalore (near airport) Until recently, everything space-related in India was just ISRO. In 2020, India allowed private agencies to enter the sector. And in 2021, GalaxEye was founded. We make Earth Observation satellites that take a special kind of image called \u201cSyncFused with SAR.\u201d Without going into too much detail, these satellites can take images at night, and can also see beyond clouds (both of which normal imaging satellites can\u2019t do). Our prospective customers are in various sectors across defence, government and private companies. We meet these customers in events - we go to over 15 events/exhibitions in a year! These include a wide variety of events from large prestigious events like the Aero Show to focussed industry round tables. Not only do we network heavily in the event, we also continue the conversation on social media. We are looking for a young, energetic, charming marketing executive to join our marketing team - for both event marketing and social media marketing. Mission for this job Make GalaxEye the most coveted space imaging company. Simple. Responsibilities Event Strategic Keep track of various events through the year Evaluate which ones we should participate in, and to what extent - in collaboration with the team Pre-event planning Coordinate with the event organisers and the internal team to ensure that logistics are taken care of Work with the brand marketing team for booth design, posters, brochures, merchandise and other collaterals Research attendee lists and schedule pre-event outreach or meetings In-event impact Represent GalaxEye with confidence and technical curiosity Greet visitors, pitch the product in an engaging way, and collect leads Capture content (photos/videos/testimonials) Post-event follow-up Ensure that event reports with contacts and conversations are documented and passed on to relevant teams Work with content marketing team to ensure that social media content is created and posted Maintain an event ROI tracker Other tasks Coordinate with internal teams and agency on all marketing activities Maintain weekly and monthly reports Requirements Great English communication skills A love for all things technology (an engineering degree is a bonus) A can-do will-do attitude with a bias for action A desire to make the future happen 5 years experience in space-tech (just kidding, we don\u2019t expect you to know anything about space or earth imaging! We will teach you.) A few years of marketing experience would be a plus. Benefits Why is this a good role? A chance to do marketing for something unique and new - we\u2019re a frontier-tech company, we\u2019re not selling soap or biryani or online courses Startup experience at low risk, since we are funded by Infosys, Speciale and other top funding agencies We know it\ silly, but some people really like looking at the earth from the top. And some people really like space (are you that person?) How to apply We need you to do two things: Write a simple strategy note for our expansion into South-east Asia. Which are the top 5 conferences we should participate in? Create an event strategy for these 5 conferences. Create a simple budget on how much we should spend, on what item. Justify the budget with a few lines on what we can expect from each conference. You can use ChatGPT/Claude/etc if you wish. But, please note that we will ask questions on your answers during your interview where you will not be able to use ChatGPT. Send us a 2 minute selfie-video explaining what GalaxEye does, in your words. We will be evaluating your language, communication and presentation skills. for GalaxEye Marketing Executive\u201d