Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil. http://www.indigoag.com/

The DevOps Engineer will build scalable and highly available infrastructure to productionize algorithms developed for Data Sciences. The algorithms your build will also drive analyses that reduce the cost and the engineering effort needed to update existing algorithms or introduce new algorithms.

Responsibilities:

• Work with DevOps and Engineering team to understand current CI/CD platform, tooling, and environments that make up a release
• Build scalable infrastructure in AWS leveraging existing patterns
• Successfully deploy Data Pipelines into production
• Help identify critical platform and application security gaps and make recommendations
• Monitor production systems and dashboards
• Optimize for cost as well as performance

Competencies:

• Proven self-starter
• Flexible to needs of users of differing technical abilities
• Ability to meet tight deadlines; organized
• Desire to learn new things
• Respectful of team members and coworkers
• Strong listening and communication skills
• Anticipates DevOps problems before they become a problem
• Advocates for everything automated, hands off deployments, and repeatable and reliable solutions

Qualifications:

• Knowledge of best practices in code development and deployment methodologies
•  Familiar with modern build and release solutions
• Experience with continuous integration and deployment
• Experience with infrastructure as code
• Proficient in scripting languages like bash, python
• Experience with Docker
• Experience with AWS (preferably GCP as well)
• Familiarity with monitoring platforms like Datadog
• Experience with hardware and software firewalls, IPS, WAF, and additional security layers
• Familiarity with databases and implementation best practices