We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include deploying product updates, identifying production issues and implementing integrations that meet customer needs. If you have a solid background in software engineering and are familiar with Ruby or Python, we’d like to meet you. Ultimately, you will execute and automate operational processes fast, accurately and securely.
Key Responsibilities:
As the Principal Member of Technical Staff, you will:
Lead the Platform Team: Provide technical guidance and mentorship to a team of 3 engineers focusing on DevOps infrastructure and microservices platform improvement.
- CI/CD Optimization: Improve and automate our continuous integration and deployment (CI/CD) release system, using Jenkins, Groovy, and BitBucket Commit API.
- Pipeline Development: Build and maintain CI/CD pipelines for generating HTTP client libraries using Swagger-Codegen.
- Static Code Analysis: Oversee improvements to our static code analysis tools and processes, working with technologies like RoboCop and ESLint.
- API Documentation Automation: Streamline API documentation by integrating Swagger-Codegen into our development workflow.
- Alerting and Monitoring Systems: Enhance our monitoring systems (Prometheus) by reducing alert noise and establishing more accurate alert routing mechanisms to service owners.
- Cloud Infrastructure Migration: Lead the migration of our Elasticsearch cluster to AWS for more robust and scalable log collection.
- Cost Optimization: Work closely with the engineering team to reduce our cloud infrastructure costs without sacrificing performance or reliability.
- Microservices Deployment: Collaborate with Product teams to deploy new microservices, ensuring smooth integration and minimal downtime.
- Security & Compliance: Support SecOps in maintaining SOC2 Type II compliance, security audits, and responding to security incidents.
- Production Support: Triage and respond to production incidents, ensuring high availability and reliability of our systems.
- Infrastructure Support: Oversee the management and support of existing infrastructure, including Postgres, MongoDB, RabbitMQ, Kafka, and Elasticsearch.
Qualifications:
- 8+ years of experience in Platform Engineering, DevOps, or a related field.
- Proven experience with AWS, Kubernetes, Docker, Terraform, Jenkins, and CI/CD pipelines.
- Expertise in Elasticsearch, Prometheus, Grafana, Kafka, and message brokers (RabbitMQ, Debezium).
- Proficient in scripting and automation (Python, Ruby, Groovy).
- Hands-on experience with static code analysis tools like RoboCop and ESLint.
- Experience in managing and migrating cloud infrastructure, especially on AWS.
- Strong knowledge of security practices and compliance frameworks, especially SOC2.
- Familiarity with PostgreSQL, MongoDB, and supporting microservice architecture.
- Excellent communication and leadership skills with the ability to mentor and lead a team.
- Experience in cost optimization of cloud services.
Preferred Qualifications:
- Experience in supporting SecOps processes and compliance, including SOC2 Type II.
- Hands-on experience with API documentation tools like Swagger-Codegen.
- Experience in reducing operational noise through effective alerting systems.
- Why Join Us?
- Be part of a dynamic and growing company that is changing the way businesses manage their financial operations.
- Collaborate with a talented and dedicated engineering team.
- Competitive salary, benefits, and opportunities for career growth.
Top Skills
What We Do
Docyt is focused on helping small business owners significantly reduce operating costs and eliminate issues associated with manual and high-risk back office tasks. Tedious yet crucial back office processes like Accounts Payable, Bookkeeping and Accounting are fully automated using AI and machine learning.
With Docyt’s AI based document-driven platform, small business owners can save thousands of dollars in penalties, late fees and accounting hassles as well as recover hundreds of hours in lost productivity each year.
