Manager
- Infinite
- 10 - 19 years
- Bengaluru
- 2 months ago
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Job Description
- Collaborate with development teams, product owners, and stakeholders to define, enforce, and track SLOs and manage error budgets.
- Improve system reliability by designing for failure, testing edge cases, and monitoring key metrics.
- Boost performance by identifying bottlenecks, optimizing resource usage, and reducing latency across services.
- Build scalable systems that handle growth in traffic or data without compromising performance.
- Stay directly involved in technical work, contributing to the codebase and leading by example in solving complex infrastructure challenges
- Design and implement scalable deployment strategies optimized for large language models like, Llama, Claude, Cohere and others.
- Set up continuous monitoring for model performance, ensuring robust alerting systems are in place to catch anomalies or degradation.
- Stay current with advancements in MLOps and Generative AI, proactively introducing innovative practices to strengthen AI infrastructure and delivery.
- Set up monitoring and observability using Prometheus, Grafana, CloudWatch, and logging with OpenSearch/ELK
- Proactively identify and resolve issues by leveraging monitoring systems to catch early signals before they impact operations.
- Design and maintain alerting mechanisms that are clear, actionable, and tuned to avoid unnecessary noise or alert fatigue.
- Continuously improve system observability to enhance visibility, reduce false positives, and support faster incident response.
- Apply best practices for alert thresholds and monitoring configurations to ensure reliability and maintain system health.
- Monitor infrastructure usage to identify waste and reduce unnecessary spending.
- Optimize resource allocation by using right-sized instances, auto-scaling, and spot instances where appropriate.
- Implement cost-aware design practices during architecture and deployment planning.
- Track and analyze monthly cloud costs to ensure alignment with budget and forecast.
- Collaborate with teams to increase cost visibility and promote ownership of cloud spend.
- Strong experience as SRE with a proven track record of managing large-scale, highly available systems.
- Knowledge of core operating system principles, networking fundamentals, and systems management.
- Strong understanding of cloud deployment and management practices
- Hands-on experience with Terraform/OpenTofu, Helm, Docker, Kubernetes, Prometheus and Istio
- Hands-on experience with tools and techniques to diagnose and uncover container performance
- Skilled with AWS services both from technology and cost perspectives
- Skilled in DevOps/SRE practices and build/release pipelines
- Experience working with mature development practices and tools for source control, security, and deployment
- Hands on experience with Python/Golang/Groovy/Java
- Excellent communication skills, written and verbal
- Strong analytical and problem-solving skills
- Experience scaling Kubernetes clusters and managing ingress traffic.
- Familiarity with multi-environment deployments and automated workflows.
- Knowledge of AWS service quotas, cost optimization, and networking nuances.
- Strong troubleshooting skills and effective communication across teams.
- Prior experience in regulated environments (HIPAA, SOC2, ISO27001) is a plus
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Release ManagerEmployement Type: Full timeContact Details:
Company: InfiniteLocation(s): Bengaluru
Keyskills: kubernetes python iso hipaa resource soc sre golang cloud deployment tracking helm docker practice management system administration groovy java grafana writing troubleshooting terraform prometheus aws communication skills amazon cloudwatch
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