SRE/Senior DevOps Engineer with MLOps

SRE/Senior DevOps Engineer with MLOps
Remote India

About the Role

As an IT SRE, your primary responsibility will be to manage and automate our internal identity and access management systems. You will be building processes and systems to decentralize role and authorization management, monitor critical IT infrastructure, and support various systems shared by our engineering and research teams.

About the Team (Team Dependent- Ex- Core Engineering , S&M, Product)

The SRE/Senior DevOps Engineer team, specializing in MLOps, operates at the forefront of cutting-edge technology. The team seamlessly navigate multi-cloud environments, including AWS, GCP, and Azure, using Kubernetes as a central orchestration tool. Leveraging technologies such as Terraform, Helm, Docker, and other deployment frameworks, they ensure a streamlined and efficient deployment process. The team collaboratively manages tasks and projects through Jira while also delving into the intricate world of Machine Learning Operations, ensuring that the infrastructure is finely tuned to support the demands of machine learning workflows and applications.

Highlights for DevOps Role at Symbl.ai:

Ownership and Growth: DevOps engineers at Symbl.ai take full ownership of critical systems and projects, giving you the opportunity to continuously learn and grow in your role.

Working as a Senior DevOps Engineer, you will:

• Promote passionate DevOps culture that is driving massively scalable, highly reliable, resilient services in a fast-growing customer and engineering-focused company.
• Setting and maintaining SLAs, SLOs, and SLIs
• Plan and prioritize operations projects, including managing costs and assessing new technologies and implementation as appropriate
• Manage all on-call incident response process and operations shifts
• Develop and improve the overall observability of the application and infrastructure
• Proactively test the flexibility and resilience of the system by partnering with the appropriate stakeholders, giving hands-on experience to build reliability into the product

Please Note: Although we have focused centers in Seattle, WA and Pune, IN, there are no restrictions on where you can be located for this role - Symbl is fully remote.

In order to excel in this role, you should:

• 7+ years of experience working in cloud-based systems operations, as a Linux systems administrator, SRE or DevOps engineer.
• Bachelors or Masters degree in Computer Science or a related degree
• Deep knowledge public cloud infrastructure (AWS, GCP and Azure)
• Experience required with Terraform, Helm, Docker and relevant deployment frameworks.
• Machine Learning Operations experience is Mandatory.
• Knowledge of CI/CD pipelines and orchestration tools; understanding of the deployment and operations of large-scale SaaS applications; familiarity with the testing, staging, and production stages using microservices-based architectures on public and private clouds

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Symbl is the place for you.

Benefits and Perks (India)

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research
• Health insurance for you and your family
• Parental Leave and family-planning support
• Annual Learning and Development
• Unlimited vacation, paid holidays, Flexible schedule

About Symbl.ai

We are a Series A company ($24M raised in total), having signed a multi-year partnership with Google Cloud. We are focused on bringing our technology to market with the technical expertise and market understanding to support it. Our team has a proven track record of building large-scale and secure enterprise-grade developer products, ranging from API Gateways to the Conversation AI platform, and we are proud to say that our entire team is world-class.
The Symbl platform provides access to pre-trained language models (LLMs) through its APIs, which are custom-built using millions of spoken minutes to understand the nuances of meaning, sentiment, and intent in spoken language, as opposed to written text. We recognize that spoken language is at the heart of all communications, and it can be a challenging and costly endeavor to dissect the behaviors, syntax, semantics, and context that collectively give words meaning in voice.
As an organization, we firmly believe in equal opportunity and do not engage in any form of discrimination based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We are committed to maintaining a diverse and inclusive work environment where every individual is respected and valued for their unique contributions.
In addition, our recent developments in Large Language Models (LLMs) and our cutting-edge Nebula technology have further expanded our capabilities in the field of natural language understanding. We are excited to continue pioneering advancements in this space while upholding our commitment to equality and inclusivity.

How to Apply:

Email with your cover letter including any relevant links to Github or your recent publications to [email protected]. We look forward to getting to know you!