Senior Site Reliability Engineer

About Media.net

Media.net is a leading, global ad tech company that focuses on creating the most transparent and efficient path for advertiser budgets to become publisher revenue. Our proprietary contextual technology is at the forefront of enhancing Programmatic buying, the latest industry standard in ad buying for digital platforms.

The Media.net platform powers major global publishers and ad-tech businesses at scale across ad formats like display, video, mobile, native, as well as search. Media.nets U.S. HQ is based in New York, and the Global HQ is in Dubai. With office locations and consultant partners across the world, Media.net takes pride in the value-add it offers to its 50+ demand and 21K+ publisher partners, in terms of both products and services

About the job

What does the SRE team do 

SRE is a key part of a closely coupled autonomous engineering team that work together to solve the business problems. There are multiple SRE teams that catering to our business in the. Ad-tech space. A few of our Ad-tech products include domain monetization, contextual monetization, Ad quality , Ad exchange, Programmatic Advertising, etc. One of the teams is responsible for maintaining the brains behind our contextual advertising systems. Similarly, another team works on building a real time Ad Quality system which provides various real time bidding metrics and real-time ad-display decisions. Each SRE team gets to work on breadth of applications, from low latency high throughput web serving to large scale data systems.

The SRE team has carefully crafted an internal platform that allows controlled, but speedy innovation while crunching a quarter billion messages a day, and leveraging multiple state-of-the-art algorithms, to serve the best relevant ads on some of the leading news and information websites on the planet. To support this platform, our infra strives to be an industry standard: Maintaining high availability and reliability, while allowing our distributed applications to serve tens of terabytes of information every hour. We make use of open-source technologies on commodity hardware and scale them beyond the scope and scale of enterprise solutions, hosted in public cloud and co-located datacentres.

Role & Responsibilities

Your team is focused on improving and promoting the availability, stability and performance of our infrastructure, systems and applications. A SREs responsibilities will include:

 Shaping the scope and expertise for SRE practices across the team.

 Building reliability and resiliency into our infrastructure, tools, services and processes working with our development team, plus establishing practices for supporting, and running them that allow us to keep services highly available to our clients, easily supportable by our developers, and operable for the company.

 Driving design, implementation, and support of large-scale infrastructure. You and your team will participate in the design and implementation phases for new and existing products

 Developing policies and procedures that improve overall platform stability and participate in shared on-call schedule.

Who should apply for this role 

 B.Tech/M.Tech or Equivalent in Computer Science, Information Technology, or a related field

 5-7 years of experience in handling services in a largescale distributed system.

 Deep understanding of network stack (e.g., TCP/IP, routing, network topologies and hardware, SDN, etc.)

 Deep understanding of modern software architectures, including load-balancing, queueing, caching, distributed systems failure modes generally, microservices and big data technologies.

 Excellent programming (Python, Go, Ruby or preferred scripting languages) and automation skills  You have expertise in one or more of the below tools/skills

 Container orchestration technologies like Kubernetes and Mesos

 Virtualization platforms, either on-prem or cloudbased (We use Open stack and AWS)

 Understands Infrastructure as a code (we use Puppet, Ansible and Terraform) and containerization tool sets (we use Docker).

 Data intensive applications and platforms like Kafka, Hadoop, Spark, Zookeeper, Cassandra, PostgreSQL OLAP, Druid

 Relational databases like MySQL,Oracle, PostgreSQL etc

 NoSQL databases like Redis, MongoDB, Cassandra, CouchDB etc

 One or more CI tools like Jenkins, Team city

 Centralized logging systems, metrics, and tooling frameworks such as ELK, Prometheus, and Grafana.

 Web and Application servers like Apache, Nginx, Tomcat

 Versioning tools such as git.

 Ability to work independently and own problem statements end-to-end.

 Great communication, interpersonal and teamwork skills.

 Adaptable to work in a fast-paced environment and alter priorities as per business needs,