Sr Software Engineer; GCP

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us.

If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Sr Staff Software Engineer (GCP)

WHO WE ARE

In Crop Science@Bayer, Data Engineers are responsible for building backend data services, pipelines, and platforms. Our engineering teams in the Global Data Assets organization cover a broad range of domains relevant to agriculture, constructing reusable data APIs and analytics solutions used to power our internal and external experiences.

The Senior Staff Data Engineer will contribute to solution design and build, while helping to define and drive best practices within the team.

The primary responsibilities of the Senior Staff Data Engineer role are to:

• Drive system design discussions and software development within our engineering teams;
• Promote software design best practices;
• Author code to contribute new features to a codebase, evolve existing features and fix defects;
• Collaborate with product managers and stakeholders to define and refine solution requirements;
• Provide thought leadership and be a trusted technical advisor to the business;
• Communication of technical principles, solutions and recommendations with business stakeholders, product managers, and other technical leaders;
• Review code contributions from team members to provide constructive and actionable feedback;
• Collaborate with Principal Engineers and other engineering teams across the organization to ensure a cohesive and coherent architecture;
• Work with leadership and team to prospect for and evaluate impactful, purpose‑fit technology to introduce to our problem‑solving toolbelts;
• Mentoring of engineers and aiding their journey to become passionate experts in the craft of outstanding software;
• The preferred locations for this role are Bayer’s sites in Creve Coeur, MO;
  Chesterfield, MO; or Whippany, NJ; however, residence‑based candidates in the US may also be considered based upon the needs of the business.
• Visa sponsorship may be offered for this role.

Bayer seeks an individual who possesses the following:

• Minimum of a Bachelor’s degree in computer science, management information systems, or a related discipline;
• Demonstrated experience with programming languages such as Python or Go;
• Deep knowledge and demonstrated experience with Google Big Query and Google Cloud Platform;
• Knowledge of key architectural patterns, such as microservices and event‑driven architecture, with a deep understanding of their related trade‑offs;
• Knowledge of best practices for Continuous Integration and Continuous Deployment (CI/CD);
• Familiarity with data architecture and modeling concepts and paradigms;
• Familiarity with Observability concepts, such as Service Level Objectives (SLOs) and Service Level Indicators (SLIs), and related tooling (e.g., Datadog, Open Telemetry, etc.);
• Demonstrated experience as a productive reviewer of code, with an ability to coach others on the differentiation of style and correctness;
• Demonstrated experience with relational databases and declarative query languages such as SQL (e.g., Oracle, Postgres, etc.);
• Experience with the git version control system and related tools such as Git Hub or Git Lab;
• Experience with Infrastructure as Code (IaC) tooling (e.g. Terraform, Pulumi, etc.);
• Familiarity with the publish/subscribe models and supporting technologies (e.g., Apache Kafka, Google Pubsub, AWS SNS/SQS, etc.);

• At least 7 years of demonstrated experience with programming languages such as Python or Go;
• At least 5 years of demonstrated experience with Google Big Query and Google Cloud Platform;
• Strong understanding of Kubernetes architecture and concepts…