4 hours ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Own the reliability, availability, scalability, and performance of middleware and cloud infrastructure platforms.
- Support and optimize Kafka environments through performance tuning, capacity planning, upgrades, and troubleshooting.
- Administer, support, and optimize vector database platforms.
- Manage and troubleshoot GCP and GKE environments.
- Drive infrastructure automation, operational excellence, and platform reliability initiatives.
- Lead production incident response, troubleshooting, root-cause analysis, post-incident reviews, and escalation management.
- Build and maintain monitoring, alerting, and observability solutions and define SLIs, SLOs, and error budgets.
- Support database operations, performance optimization, and operational health.
- Participate in a Follow the Sun support model and weekend on-call rotation approximately once every four weeks.
Requirements
- Senior-level candidates must have 5+ years of relevant experience; Staff-level candidates must have 10+ years.
- Strong experience operating distributed systems in production environments.
- At least 5 years of hands-on Kafka production experience is preferred, with knowledge of Kafka architecture, brokers, partitions, replication, consumer groups, monitoring, and troubleshooting.
- At least 2 years of hands-on production experience with vector databases, with Weaviate experience strongly preferred.
- At least 5 years of production experience with GCP and Kubernetes, including production GKE management and troubleshooting.
- Experience with incident management, root-cause analysis, infrastructure automation, Infrastructure as Code, and CI/CD practices; Terraform is preferred.
- Automation and scripting experience using Python, Go, Shell, or similar technologies.
- Experience with observability platforms such as Datadog, Splunk, OpenTelemetry, Prometheus, or Grafana.
- Strong Linux administration and troubleshooting skills and experience supporting databases such as MongoDB, PostgreSQL, Redis, Elasticsearch, or ClickHouse.
- Preferred qualifications include AI-native platform, LLM infrastructure, vector search, embedding technology, technical leadership, and mentoring experience.
- Practical use of AI tools such as ChatGPT and cloud AI services to improve troubleshooting, automation, and operational efficiency.
Benefits
- Medical insurance coverage is available for employees, their spouse, dependent children, and parents or in-laws, subject to stated coverage limits.
- Group Term and Group Personal Accident Insurance is provided with stated coverage and insured-sum provisions.
- Benefits include 15 days of privilege leave, 6 days of paid sick leave, 6 days of casual leave, 26 weeks of paid maternity leave, 1 week of paternity leave, a birthday day off, and paid holidays.
- Provident Fund and Gratuity are provided.
- Employee Assistance Program and wellness initiatives are available.
- Ongoing learning, development opportunities, and career advancement are offered.
- This is an onsite Bengaluru role expected to work four days per week, potentially increasing to five days per week.
Tech Stack
Apache KafkaClickHouseDatadogElasticsearchGoGoogle Cloud PlatformGrafanaKubernetesLinuxMongoDBPostgreSQLPrometheusPythonRedisSplunkTerraform
Categories
DevOpsSite Reliability
About Nextiva
Nextiva builds a cloud-based customer experience platform combining VoIP, unified communications, and contact center software for businesses. It sells its products as SaaS, offering an AI-powered conversation hub to manage calls, messaging, and customer interactions. Founded in 2008 and headquartered in Scottsdale, Arizona, the privately held company serves 100,000+ businesses and raised $200M from Goldman Sachs Asset Management in 2021.