AI Engineer

2 days ago

India Binoloop Full time
About Binoloop

Binoloop is a dynamic and growth-oriented startup that aims to revolutionize procurement by leveraging cutting-edge AI and cloud technologies. We are passionate about delivering robust, scalable, and secure solutions that empower data-driven decision-making and operational excellence.

Job Description

We are seeking an experienced Senior AIOps Engineer to lead our cloud-based AI operations initiatives. As a key member of our engineering team, you will be responsible for architecting, implementing, and maintaining state-of-the-art AI SaaS on Google Cloud Platform (GCP). You will work across multiple domains, including CI/CD, security, IaaC, ETL pipelines, monitoring, and container orchestration, to ensure our infrastructure and machine learning pipelines run seamlessly, securely, and efficiently.

Key Responsibilities:
  • AIOps & Cloud Architecture: Design, deploy, and optimize AIOps solutions on GCP and streamline ML workflows, reduce latency, and ensure high availability.
  • LLMOps: Optimize cloud infrastructure for cost-efficient LLM API usage and vector storage.
  • CI/CD & DevOps: Develop and maintain advanced CI/CD pipelines, integrating best practices for testing, deployment, and version control. Leverage tools like GitLab CI, Jenkins, or GitHub Actions to ensure rapid, reliable releases.
  • Security & SecOps: Implement end-to-end security frameworks, including vulnerability scanning, secrets management, intrusion detection, and SIEM integration, ensuring compliance with industry standards and data protection regulations.
  • Infrastructure as a Code (IaaC) & Terraform: Utilize Terraform to automate infrastructure provisioning, configuration management, and deployments. Standardize and templatize infrastructure code to ensure scalability and repeatability.
  • ETL & Data Operations: Collaborate with data engineering teams to build and enhance ETL pipelines. Optimize data flows, ensuring data is accurate, accessible, and reliable for machine learning initiatives.
  • Monitoring & Observability: Set up comprehensive monitoring solutions using tools like Prometheus, Grafana, and Stackdriver. Proactively analyze metrics, logs, and traces to identify bottlenecks and performance issues.
  • Kubernetes & Containerization: Orchestrate multi-staged container builds and manage complex Kubernetes deployments. Focus on scalability, fault tolerance, and cost efficiency.
Requirements:
  • Bachelor's or Master's in Computer Science, Engineering, or a related field. 6+ years of hands-on experience in AIOps, DevOps, SRE, or a similar role.
  • Strong GCP experience required; AWS/Azure familiarity is a plus.
  • Jenkins, GitLab CI, GitHub Actions, or equivalent CI/CD tool proficiency.
  • Demonstrated experience with IAM, secrets management, vulnerability assessments, and compliance.
  • Proficiency in writing and maintaining Terraform code in production environments.
  • Experience optimizing data pipelines and working with structured/unstructured data sets.
  • Familiarity with Prometheus, Grafana, ELK/EFK stacks, OpenTelemetry, or GCP-native monitoring tools.
  • Expert-level experience with Docker, Kubernetes, Helm, and multi-staged container builds.
Salary and Benefits

The estimated salary range for this position is ₹18,00,000 to ₹26,00,000 per annum, depending on experience and qualifications. In addition to a competitive salary, we offer a comprehensive benefits package, including attractive stock options and a supportive environment that values collaboration, innovation, and hyperscale growth.

How to Apply

If you're excited by the prospect of shaping the future of AI operations and cloud infrastructure at Binoloop, please submit your updated resume and a brief cover letter detailing your relevant experience and one of your crazy deployment projects. Please merge your resume with your cover letter into a single PDF document and apply through the provided link.

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