Job Description
Join us as we pursue our ground-breaking vision to make machine data accessible, usable, and valuable to everyone
We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers
At Splunk, we are committed to our work, customers, having fun, and most significantly to each others success, The Splunk Observability Cloud provides full-fidelity monitoring and fixing across infrastructure, applications, and user interfaces, in real-time and at any scale, to help our customers keep their services reliable, innovate faster, and deliver great customer experiences
Infrastructure Software Engineers at Splunk are cloud-native systems engineers who use infrastructure-as-code, microservices, automation, and efficient design to build, operate, and scale our products, Role
You will help us run one of the largest and most sophisticated cloud-scale, big data, and microservices platforms in the world
You will be responsible to maintain and provision the base infrastructure that runsSplunk Observability Cloud, including cloud compute platforms, managed services, Kubernetes, and required tooling
You will be a key part of the team that strives to offer a fully automated and self-serve, secure, performant, compliant, and cost-efficient Platform-as-a-Service that follows cloud-native best practices and empowers product teams to easily and quickly deploy and operate workloads
You are passionate about automation, infrastructure-as-code, microservices, and getting rid of tedious, manual tasks, You Will
Design new services, tools, and monitoring to be implemented by the entire team, Analyze the tradeoffs of the proposed design and make recommendations based on these tradeoffs, Mentor new engineers to achieve more than they thought possible
You enjoy making other teams successful and are fulfilled through the success of others, You Will Work On Infrastructure Projects, Including
Adopting new cloud-native frameworks and services
Automating cloud provider infrastructure via Terraform, Kubernetes, and Helm
Developing code for tools and automation to reduce manual tasks and reduce human error
Establishing and documenting run books and guidelines for using the multi-cloud infrastructure and microservices platform, Improve the resiliency of multi-cloud microservices platform
Networking, routing, and load balancing
Security vulnerability remediation and patching automation
Automating deployment of our services in new provider zones/regions
Designing and productionizing access tiers to provide appropriate permissions across roles
Qualifications
Must-Have:
5+ years of solid hands-on cloud infrastructure experience on public cloud platforms specifically AWS or GCP, 3+ years of strong hands-on experience deploying, managing, and monitoring large-scale Kubernetes clusters in the public cloud
Experience with Infrastructure-as-Code using Terraform and/or Helm, Experience with infrastructure automation and scripting using Python and/or bash scripting, Knowledge of microservices fundamentals including Service Mesh using Istio, service discovery, deployment strategies, monitoring, scheduling, and load balancing
Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems
Preferred
AWS Solutions Architect certification preferred, CKA and HashiCorp-certified Terraform Associate certifications preferred
Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Packer, Pulumi, ARM, etc
Experience with developing infrastructure or platform services using GoLang or Python, Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc
Exposure to monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc in order to build observability for large-scale microservice deployments, Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software, Bachelors/Masters in Computer Science, Engineering, or related technical field, or equivalent practical experience, We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer
Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws
We consider qualified applicants with criminal histories, consistent with legal requirements,
Job Classification
Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Engineer
Employement Type: Full time
Contact Details:
Company: Splunk
Location(s): Kolkata
Keyskills:
python
public cloudcloud platforms
grafana
golang
cloud infrastructure
terraform