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Job Location: Bangalore
Space · Bangalore, KA
Pixxel is a space technology company building a constellation of some of the world’s most advanced earth imaging satellites. The fully deployed constellation will be capable of beaming down high quality image data of every place on the globe every day. Pixxel is developing its automated image processing pipeline and artificial intelligence tools with the capability to detect, monitor and predict global phenomena in near real time. Pixxel’s first satellite is booked for a launch in 2021.
Responsibilities:
- As a Machine Learning DevOps engineer, you will be responsible for productising automated satellite image processing pipelines and artificial intelligence tools.
- You will be responsible for taking development projects to production and cultivate CI/CD pipelines- (Continuous Integration/Continuous Delivery). Ensure developers are provided a full set of DevOps tools by leading the establishment of the right tooling and processes that will result in a fully automated release management pipeline to include: the Automated build process, environment setups, testing scripts, deployments, and production operational metrics/debugging information (to target developers).
- You will be responsible for inculcating best Practices for Data Security Data Governance in the team.
- Work across teams to bring continuous improvement to engineering processes and tools.
- Operational scalability and administrative tasks.
Skills/Requirements:
- Bachelor’s degree in Computer Science/Engineering or a Master’s degree in Information Technology with 2+ years of industry experience in building production pipelines using cloud platforms.
- Fluency in working with Node.js, Python, SQL, PostGIS and CI/CD tools with a taste for knowledge of deploying cloud applications in AWS environments.
- Experience with Cloud Platforms like AWS, GCP ; Azure and Cloud services experience.
- Experience in Container Orchestration, Container technologies, Docker, Cloud formations.
- Experience in automation and monitoring tools.
Skills/Requirements: (Optional)
- Experience in working with Kubernetes.
- Experience in machine learning libraries like skit learn and tensor flow, keras.
- Experience in stream technologies and stream analytics like Kafka & Kenesis.
Perks:
- Flexible working hours and work from home arrangements.
- A commitment to continuous on-the-job learning and training, internally and externally.
- Ability to attend and present work at relevant national and international events, meet-ups and conferences on behalf of Pixxel.
- Experience the start-up environment, with an opportunity to learn all aspects of building and growing a business alongside a diverse world-class team
Pixxel is a space technology company building a constellation of some of the world’s most advanced earth imaging satellites. The fully deployed constellation will be capable of beaming down high quality image data of every place on the globe every day. Pixxel is developing its automated image processing pipeline and artificial intelligence tools with the capability to detect, monitor and predict global phenomena in near real time. Pixxel’s first satellite is booked for a launch in 2021.
Responsibilities:
- As a Machine Learning DevOps engineer, you will be responsible for productising automated satellite image processing pipelines and artificial intelligence tools.
- You will be responsible for taking development projects to production and cultivate CI/CD pipelines- (Continuous Integration/Continuous Delivery). Ensure developers are provided a full set of DevOps tools by leading the establishment of the right tooling and processes that will result in a fully automated release management pipeline to include: the Automated build process, environment setups, testing scripts, deployments, and production operational metrics/debugging information (to target developers).
- You will be responsible for inculcating best Practices for Data Security Data Governance in the team.
- Work across teams to bring continuous improvement to engineering processes and tools.
- Operational scalability and administrative tasks.
Skills/Requirements:
- Bachelor’s degree in Computer Science/Engineering or a Master’s degree in Information Technology with 2+ years of industry experience in building production pipelines using cloud platforms.
- Fluency in working with Node.js, Python, SQL, PostGIS and CI/CD tools with a taste for knowledge of deploying cloud applications in AWS environments.
- Experience with Cloud Platforms like AWS, GCP ; Azure and Cloud services experience.
- Experience in Container Orchestration, Container technologies, Docker, Cloud formations.
- Experience in automation and monitoring tools.
Skills/Requirements: (Optional)
- Experience in working with Kubernetes.
- Experience in machine learning libraries like skit learn and tensor flow, keras.
- Experience in stream technologies and stream analytics like Kafka & Kenesis.
Perks:
- Flexible working hours and work from home arrangements.
- A commitment to continuous on-the-job learning and training, internally and externally.
- Ability to attend and present work at relevant national and international events, meet-ups and conferences on behalf of Pixxel.
- Experience the start-up environment, with an opportunity to learn all aspects of building and growing a business alongside a diverse world-class team
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