Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Business-to-Business (B2B) Software, Cloud Computing, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Data Management, DevOps, Elasticsearch, Enterprise Applications, Funding, GCP (Good Clinical Practices), Identify Issues, Microsoft Windows Azure, Multiplatform/Cross-Platform, Performance Analysis, Python Programming/Scripting Language, Redis, Software Development, Startup
San Francisco, California
DevOps Engineer
- Title of Role: DevOps Engineer
- Location: San Francisco, on-site or remote
- Company Stage of Funding: Series B
- Office Type: On-site or remote
- Salary: $150K–$240K
Company Description
We're representing a dynamic company focused on delivering fast, secure integrations for their products and agents. This organization is making strides in the B2B software development space, particularly within API SDKs and AI-driven solutions. With a strong commitment to innovation and excellence, they are poised for significant growth as they continue to enhance their enterprise offerings.
What You Will Do
- Design and implement robust infrastructure solutions using AWS, GCP, and Azure.
- Automate deployment processes with Terraform and Kubernetes to improve efficiency.
- Monitor system performance with Prometheus and troubleshoot issues proactively.
- Manage data solutions utilizing Redis, ElasticSearch, RDS, and Redshift.
- Collaborate with engineering teams to streamline CI/CD pipelines using Argo CD and Atlantis.
- Ensure the security and reliability of integrations across various platforms.
- Contribute to architectural decisions that enhance scalability and performance.
Ideal Candidate Background
- 8–10 years of experience in a DevOps or Infrastructure Engineering role.
- Proficient in cloud services, specifically AWS, GCP, and Azure.
- Strong experience with container orchestration tools, particularly Kubernetes.
- Skilled in automation and configuration management using Terraform.
- Familiarity with programming in Python and working with monitoring tools like Prometheus.
- Experience with data management technologies such as Redis and ElasticSearch.
Preferred
- Experience with streaming data solutions, including Kinesis.
- Knowledge of advanced CI/CD practices and tools.
- Familiarity with the AI and enterprise software development landscape.
- Previous involvement in a Series B funded startup environment.
Compensation and Benefits
The salary for this role ranges from $150K to $240K, complemented by competitive equity options. This is an excellent opportunity to join a forward-thinking company that values innovation and offers a collaborative work environment.