Search the 20 jobs at AiDash

As a Big Data Architect at AiDash, you will enhance and scale data pipelines and infrastructure, manage geospatial data, lead initiatives for data storage and transformation, ensure data quality, and collaborate with teams to align data systems with business needs.

The Principal Data Engineer for Geospatial Platforms will design and build scalable platforms for managing large-scale geospatial data, overseeing data ingestion, storage, and processing, while ensuring data quality and efficiency. They will collaborate with cross-functional teams and provide technical leadership to enhance data infrastructure.

The SDE-3 DevOps Engineer will design, implement, and optimize cloud infrastructure and automation solutions, enhance CI/CD processes, and ensure system reliability in a scalable, secure environment. Responsibilities include managing cloud infrastructure, containerized applications, and monitoring solutions, as well as collaborating across teams for deployments and security practices.

The Staff Engineer DevOps at AiDash is responsible for designing and optimizing infrastructure solutions, implementing CI/CD processes, and promoting infrastructure as code. This role includes automating deployments, monitoring system performance, mentoring junior engineers, and collaborating with cross-functional teams to enhance system reliability.

As a Lead Product Designer, you will lead user experience design projects by applying various research methodologies, collaborate with cross-functional teams, facilitate workshops, and manage project scope and risks to drive innovative design solutions.

As a Big Data Architect at AiDash, you will enhance and scale data pipelines for satellite imagery and enterprise data, ensuring efficient ingestion, storage, and processing to support business needs. You'll collaborate with data science and engineering teams to tackle challenges and improve data systems.

The Principal Data Engineer for Geospatial Platforms at AiDash will design, build, and optimize data pipelines and architectures for managing large-scale geospatial data. The role involves collaborating with data science teams, ensuring data quality, proposing big data solutions, and providing technical leadership to enhance data infrastructure.

The Principal Product Manager will drive product strategy, define and own the product roadmap, collaborate with design and engineering teams, and focus on delivering innovative AI/ML driven enterprise SaaS solutions aimed at enhancing utilities' operations and resilience.

Design and maintain high-quality backend components, build scalable microservices, mentor junior engineers, write unit tests and support CI pipelines, and translate requirements into features in collaboration with product teams.

Design and develop high-quality web applications, implement new products and features, collaborate with product managers and designers, write efficient code, drive product roadmap, and learn new technologies to enhance usability and performance.

The role involves designing, developing, and maintaining automation test suites for large-scale distributed systems, performing various tests, implementing CI/CD frameworks, and mentoring junior SDETs. The position requires strong collaboration with development teams to ensure comprehensive test coverage and staying updated on industry trends.

Design, develop, and deploy scalable distributed systems. Build backend systems to support internal workflows, analytical tools for data pipeline, and tools to improve engineering productivity. Assist stakeholders with technical issues, monitor system performance, and stay updated with distributed systems technologies. Ideal candidate should have 8+ years of experience, strong knowledge in microservices and systems design, proficiency in Java, Spring Boot, Python, databases, Restful APIs, Docker, Kubernetes, AWS, performance optimization, and backend security principles.

Analyzing requirements, designing test cases, managing defects, writing test scripts, enhancing automation framework, coordinating team members, using reporting and database tools

Design and develop high-quality web applications leveraging AiDash platform, play a key role in designing and implementing new products and features, drive product roadmap, and rapidly learn new technologies to improve usability and performance.

Design, develop, and deploy scalable distributed systems, build backend systems supported by automated pipelines and ML models, implement analytical tools for data insights, work with stakeholders and assist with technical issues, refactor services for improved efficiency, build tools for engineering productivity, evolve architecture, monitor system performance and resource utilization, stay updated with distributed systems technologies.

Lead and mentor a team of software engineers, define technical vision and roadmap, own software development lifecycle, champion best practices and innovation, collaborate with cross-functional teams, communicate effectively

As a Principal Product Manager, you will lead product strategy, driving the development of the Intelligent Vegetation Management System to align with market demands and user needs. You will collaborate with various teams to ensure high-quality delivery while defining key metrics for product adoption and success.

As a Senior Geospatial Analyst, you will prepare and organize spatial and non-spatial data, analyze it to uncover trends, create digital maps and shapefiles, process satellite imagery, and ensure data quality standards are met.

The Senior Technical Recruiter will drive recruitment efforts for data science and engineering roles, collaborating with hiring managers, implementing data-driven acquisition strategies, and optimizing recruitment processes to enhance candidate experience. They will utilize diverse platforms to attract candidates and analyze recruitment metrics for continuous improvement.

Lead a team of GIS analysts to deliver multi-disciplinary projects, ensuring productivity and quality targets are met. Coordinate with internal teams and stakeholders while managing vendors for timely project delivery. Prepare, extract, and organize spatial and non-spatial data based on requirements.