Software Engineer - 1 (Infra)

Exotel

Exotel is one of Asia’s largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best in class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, ICICI, IDFC, Redbus, Flipkart, Quikr, Practo, Lazada, Redmart, etc. to name a few. We are a 9-year-old company with humble beginnings. We started as a 3-member team. Currently, we are a 120-member team catering to over 3000 customers across the globe. Our technology has connected over 400 million people across the world and powered over 10 billion conversations. Read our growth story here.

 

Tech @ Exotel

Exotel engineering solves some really cool infrastructure level problems with the goal of ensuring no one misses a call or an SMS.

• Our focus is on building very fault-tolerant, loosely coupled, scalable and real-time distributed system

• We are generally agnostic of language, technology or tools. Currently our tech stack is built on Golang, Node.js, Ruby, Java and PHP. We use Aerospike, MySQL as data stores, ElasticSearch for search and Beanstalkd for queuing

• We emphasize a lot on clean abstractions of code, loosely coupled services and good coding practices

• We are very strong believers in "you built it, you own it!". And running a distributed system is very different from just building one!

• We are crazy about high availability

 

Platform Engineering @ Tech @ Exotel

Platform engineering group is responsible for the distributed-system (cloud) infrastructure (on which the rest of the exotel microservices are developed and deployed), as well as the data infrastructure. The team’s deliverables significantly influence the reliability (resilience, uptime, accuracy, security, etc.), usability, scalability and optimality of the overall Exotel stack. The deliverables improve engineering and business productivity by abstracting the distributed system complexities and data management overheads.

 

Some of the key responsibilities of the team include: 

1. Enhancing the platform by exploring and adopting new technologies (E.g. Orchestration engines, serverless, big data)  and optimizing the architecture/implementation 
2. Ensuring SLAs are met by monitoring and optimizing the deployments

 

Job Role

 

Role of a Software Engineer 1 within the team includes

1. Participate in design, development, testing and maintenance  of data Infrastructure (both OLTP and OLAP (big data)): Data analytics/processing frameworks, Data connectors, Data APIs, Reporting, distributed databases. 

And/Or

Participate in design, development, testing and maintenance of cloud infrastructure:  Compute (K8s), Storage (block storage, Object storage), IPC (queues), Deployments, Observability (metrics, logging), Networking, Security, etc.

1. Participate in exploration and adaptation of new technologies such as big data platforms (Flink, Airflow, Athena etc) ; BI tools ; Serverless;  IDPS and Platform as a service

2. Monitor existing deployments to ensure committed SLAs are met

 

A lot of focus in what you do will be outside of just adding features and will be related to pushing a distributed system to its limits - you will be constantly thinking of "how do I scale out my cluster to twice its size with 60 seconds?", "how do I increase the platform uptime from 99.95 to 99.99?", "how to shave off a few extra millisecond in response times?".

 

What it takes?

 

We are looking for candidates with a strong understanding of computer/distributed systems and strong programming skills. We want people who love designing and engineering distributed systems (which is lot more than programming) 

 

Must-haves

 

• Strong computer science fundamentals
• Strong problem solving skills
• A mindset to explore and learn new age technologies and engineering concepts (programming and beyond programming)
• Familiarity with one Java / Go / Scala / C++ / C / C#/ Shell scripting/ Bash scripting / Python
• Good understanding of data structures and algorithms.
• A "devops" mindset. You own what you will develop.

 

Good-to-haves

 

• Experience with Linux distributed systems, Fundamentals of Networking
• Experience with one of IAAC technologies (Ansible/Chef or Puppet)
• Exposure to any of the following: containers and orchestration frameworks (E.g. K8s), Logging (Rsyslog), Monitoring frameworks (Prometheus, Nagios), CI/CD pipelines, Security frameworks
• Exposure to any of the following: Databases (E.g. Mysql, Aerospike), Distributed databases (Elastic search, Redis, etc.), Data Analysis platforms
• Exposure to AI/ML technologies

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Last updated on Oct 5, 2024