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100% Remote Senior or Lead Geospatial Software Engineer with Golang || NoH1B at Remote, Remote, USA
Email: [email protected]
From:

Yashwant Singh,

DMS Visions Inc

[email protected]

Reply to:   [email protected]

Hi
,

Hope you are doing well,

Please find the job description given below and let me know your interest.

 Position:   Senior or Lead Geospatial Software Engineer with Golang

 Location:   100% Remote

 Duration:   6+ months

 Job Description:

The Geospatial Software Engineer will be involved in the design of big data solutions that leverage open source and cloud-based solutions within the  enterprise initiative and will work with multiple teams across the organization (i.e. cloud analytics, data architects, business groups).

The software engineer will participate in the building of large-scale data processing systems and APIs and should be able to work with the latest open-source technologies.

A software engineer should embrace the challenge of dealing with petabytes or even exabytes of data daily in a high-throughput API/microservice ecosystem. A software engineer understands how to apply technologies to solve big data problems and to develop innovative big data solutions. The software engineer generally works on implementing complex projects with a focus on collecting, parsing, managing, analyzing and making available large sets of data to turn information into insights using multiple platforms. The software engineer should be able to develop prototypes and proof of concepts for the selected solutions. 

Key responsibilities include:

Design, build and support of cloud and open source systems to process geospatial data assets via an API-based platform

Partners with other internal development communities to bring needed data sets into the asset and making data available to the Bayer Enterprise and internal development communities

Building highly scalable APIs and associative architecture to support thousands of requests per second

Provides leadership in advancing Bayers understanding of environmental/external influences on field performance and risk factors

Working at all stages of the software life cycle: Proof of Concept, MVP, Production, and Deprecation

Minimum Requirements:

BSc degree in Computer Science or relevant job experience.

Minimum of 2-year experience with Python, Java, Go, or similar development languages.

Extensive knowledge in different programming or scripting languages like Go, Scala, Java, Javascript, SQL, Bash, Python and/or R.

Experience developing HTTP APIs (REST and/or GraphQL) that serve up data in an open source technology, preferably in a cloud environment.

Ability to build and maintain modern cloud architecture, e.g. AWS, Google Cloud, etc.

Experience working with PostgreSQL/PostGIS.

Experience with code versioning and dependency management systems such as GitHub, SVT, and Maven.

Proven success utilizing Docker to build and deploy within a CI/CD Environment, preferably using Kubernetes.

Desirable qualifications:

MSc in Computer Science or related field.

Demonstrated knowledge of open-source geospatial solutions like GeoServer, GeoTrellis, GeoMesa.

Experience with stream processing, e.g. Kafka.

Highly proficient (4 years) in GoLang

Experience working with customers/other developers to deliver full-stack development solutions e.g collect software, data, and timeline requirements in an Agile environment.

Demonstrated knowledge of agriculture and/or agriculture-oriented businesses.

Experience implementing complex data projects with a focus on collecting, parsing, managing, and delivery of large sets of data to turn information into insights using multiple platforms.

Demonstrated experience adapting to new technologies.

Capable to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.

Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present.

Experience creating cloud computing solutions and web applications leveraging public and private APIs.

Proven experience (2 years) with distributed systems, e.g. Argo, Kubernetes, Spark, distributed databases, grid computing.

Proficient (4+ years) working in a Command Line Interface system e.g Docker, Argo, K8s, AWS CLI, GCloud, pSQL, SSH

If you are interested, please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards,

Yashwant Singh

US IT Recruiter

dmsvisions.com/

E: 
[email protected]

T: 

972-645-5050 / 106

A: 

4645 Avon Lane, Suite 210, Frisco, TX 75033, 
Zip Code, Country

Keywords: continuous integration continuous deployment rlang information technology golang Texas
100% Remote Senior or Lead Geospatial Software Engineer with Golang || NoH1B
[email protected]
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Wed Aug 21 00:46:00 UTC 2024

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