Job description

The Role: GIPHY is seeking a highly experienced Site Reliability Engineer to join our SRE team. You will help design, build, operate, and evolve the infrastructure that powers GIPHY, including our cloud environment, Kubernetes clusters, and CI/CD platforms. You will also work closely with our development teams to improve reliability, scalability, and operational efficiency of our systems, while ensuring code can be deployed safely and efficiently across the organization. You will also play a key role in responding to production incidents, troubleshooting complex issues across the infrastructure stack, and driving improvements based on what we learn from them. GIPHY serves internet-scale traffic every day, so the ideal candidate must be comfortable with operating large and distributed systems and solving problems at scale. Your work will directly impact billions of daily users, alongside some of the world’s largest social media platforms and apps. The Day to Day: Operate and evolve GIPHY’s cloud and CDN presence, ensuring resources are reliable, performant, scalable and cost-efficient Continuously improve and optimize our CI/CD platform to enhance developer experience and deployment reliability Drive the implementation of multi-region Kubernetes clusters while operating and improving our existing Kubernetes environments Partner with other Engineering teams to troubleshoot complex production and infrastructure issues, taking a holistic view across our platforms to ensure the reliability and availability of GIPHY’s systems Stay current with emerging technologies, particularly agentic development and AI-assisted engineering, and identify opportunities to incorporate them into our platforms and engineering workflows What you will bring to the role: Expert-level knowledge and significant professional experience with Infrastructure as a Service (IaaS) operations and Infrastructure as Code (IaC), particularly Terraform and Atlantis Extensive experience with containerization and orchestration technologies, mainly Docker and Kubernetes Strong experience with operating, designing and troubleshooting AWS infrastructure, especially EKS, S3, EC2 and VPC Ability to design and implement cost-effective solutions and proactively identify cost-optimization opportunities Strong systems engineering fundamentals, with deep knowledge of Linux and networking and the ability to diagnose complex reliability and performance issues across the OS, network, container, and cloud infrastructure layers Experience with CI/CD tools such as Jenkins or Github Actions and deployment tooling such as Helm, Spinnaker and ArgoCD Proficiency in one or more programming languages, such as Python, Java, Go or Rust Experience with observability and monitoring platforms such as Datadog and AWS CloudWatch, including diagnosing production reliability and performance issues Experience with agentic engineering and effectively applying AI-assisted development practices Strong problem-solving and communication skills, and the ability to work effectively in a team environment Demonstrate a high degree of autonomy and initiative, proactively identifying areas for improvement and independently driving work around optimization, cost reduction, patching, upgrades, and technical debt GIPHY GIPHY sits at the intersection of personal communication and shared moments. GIPHY is the best way to search, share, discover and create GIFs on the Internet. The content on GIPHY s website, app, and API is all of the best and most popular GIFs on the web, along with content created by talented GIF artists and world-class brands. Our goal is to help make finding and sharing the good GIFs easier. Shutterstock Shutterstock connects diverse artists and creative professionals around the globe with the agencies, brands and people who need their work and services. It’s a place where creators come to be inspired and discover new ways to produce their best work. Shutterstock enables its employees to drive culture and tap into the world around them to develop the toolbox and solutions that help others share their world views. At Shutterstock, your ideas will be welcomed, your uniqueness will be celebrated, and you will be supported in presenting your view of the world as you experience it. We’re champions of resiliency; quickly learning from our shortcomings in our pursuit of continuous growth. #LI-MS1 At Shutterstock, we are committed to providing competitive pay and benefits that are in line with industry standards. The compensation package offered may vary depending on employment experience, skills, and knowledge. You may also be eligible for our generous benefits package including health, wellness and financial benefits. Compensation ranges for candidates in locations outside of the location(s) below may differ based on the cost of labor, market, and additional factors. The pay range for this position is below: • 170,000 - 185,000 per year in New York Note: Commission-eligible roles are expressed as on-target earnings (base and commission). Non-commission roles are expressed as base salary only but are also eligible for annual incentives. Shutterstock Values We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock. If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply. Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accommodation_request shutterstock.com . The referenced salary range is based on the Company’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

Requirements

Must-haves

The Day to Day: Operate and evolve GIPHY’s cloud and CDN presence, ensuring resources are reliable, performant, scalable and cost-efficient
Continuously improve and optimize our CI/CD platform to enhance developer experience and deployment reliability
Drive the implementation of multi-region Kubernetes clusters while operating and improving our existing Kubernetes environments
Partner with other Engineering teams to troubleshoot complex production and infrastructure issues, taking a holistic view across our platforms to ensure the reliability and availability of GIPHY’s systems
Stay current with emerging technologies, particularly agentic development and AI-assisted engineering, and identify opportunities to incorporate them into our platforms and engineering workflows
What you will bring to the role: Expert-level knowledge and significant professional experience with Infrastructure as a Service (IaaS) operations and Infrastructure as Code (IaC), particularly Terraform and Atlantis
Extensive experience with containerization and orchestration technologies, mainly Docker and Kubernetes
Strong experience with operating, designing and troubleshooting AWS infrastructure, especially EKS, S3, EC2 and VPC
Ability to design and implement cost-effective solutions and proactively identify cost-optimization opportunities
Experience with CI/CD tools such as Jenkins or Github Actions and deployment tooling such as Helm, Spinnaker and ArgoCD
Proficiency in one or more programming languages, such as Python, Java, Go or Rust
Experience with observability and monitoring platforms such as Datadog and AWS CloudWatch, including diagnosing production reliability and performance issues
Experience with agentic engineering and effectively applying AI-assisted development practices
Strong problem-solving and communication skills, and the ability to work effectively in a team environment
Demonstrate a high degree of autonomy and initiative, proactively identifying areas for improvement and independently driving work around optimization, cost reduction, patching, upgrades, and technical debt
170,000 - 185,000 per year in New York
Note: Commission-eligible roles are expressed as on-target earnings (base and commission). Non-commission roles are expressed as base salary only but are also eligible for annual incentives.
Shutterstock Values

Nice-to-haves

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Keywords to mirror

kubernetesci/cdaidockerawspythonjavagorustapi

Platform: workday
Effort: long

Benefits

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