What we’re looking for

As a member of the Infrastructure team at Survey Monkey, you will have a direct impact in designing, engineering and maintaining our Cloud, Messaging and Observability Platform. Solutioning with best practices, deployment processes, architecture, and support the ongoing operation of our multi-tenant AWS environments. This role presents a prime opportunity for building world-class infrastructure, solving complex problems at scale, learning new technologies and offering mentorship to other engineers.

This opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week.

What you’ll be working on

• Architect, build, and operate AWS environments at scale with well-established industry best practices
• Automating infrastructure provisioning, DevOps, and/or continuous integration/delivery
• Support and maintain AWS services, such as EKS
• Write libraries and APIs that provide a simple, unified interface to other developers when they use our monitoring, logging, and event-processing systems
• Support and partner with other teams on improving our observability systems to monitor site stability and performance
• Work closely with developers in supporting new features and services.
• Work in a highly collaborative team environment
• Serving as a technical mentor
• Participate in on-call rotation

We’d love to hear from people with

Experience and Background:

• 5-8+ years of professional experience in relevant fields, with solid engineering expertise.
• Over 5 years of hands-on experience in production environments using AWS services, including EKS, EC2, IAM, Kafka, Redis, Memcache, and CloudWatch.

Cloud Infrastructure and Tools:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with observability tools like Splunk, OpenTelemetry, New Relic, Datadog, and Grafana/Prometheus.

Configuration Management and Automation:

• Proficient in configuration management and orchestration tools such as Ansible, Terraform, and CloudFormation.
• Strong expertise in Docker and Kubernetes for containerization and orchestration.
• Knowledge of GitOps practices and tools like ArgoCD or FluxCD.

Scripting and Programming:

• Proficient in scripting languages (Bash, Python, YAML) for system automation.
• Experience instrumenting Python and Node.js applications to send metrics, traces, and logs to third-party observability tools.

Data Management and Analysis:

• Familiarity with databases and caching technologies, including PostgreSQL, MongoDB, Memcached, Redis, and Kafka.
• Experience with metrics and logging libraries, data aggregation, and visualization tools, particularly Splunk and OpenTelemetry.

Collaboration and Communication:

• Excellent communication skills, capable of collaborating effectively with both co-located and remote teams.
• Ability to listen and partner to understand requirements, troubleshoot problems, and promote platform adoption.

Agile and Development Practices:

• Experience working in agile environments and utilizing JIRA.
• Familiarity with GitHub and GitHub Actions in software engineering or DevOps contexts.
• Preferably experienced with secrets management, particularly HashiCorp Vault.

­­Additional Skills:

• Strong troubleshooting skills across systems, networks, and application code.
• Genuine interest in the instrumentation and optimization of Kubernetes clusters.
• Understanding of scalable and high-performance application architecture.

#LI-Hybrid