Sr Distributed Systems Engineer (DevOps) (Mumbai)

Sr Distributed Systems Engineer (DevOps)

Experience: Not Available to Not Available years

Location: Auckland, New Zealand

Skills: AWS, GCP, CI/CD, Postgres, MariaDB, MSSQL, Kubernetes, EC2, EKS, Terraform, Python, TypeScript, Go, Bash, Docker, Istio, Linkerd, PostgreSQL, DynamoDB, Redis, Kafka, RabbitMQ, SQS, Prometheus, Grafana, ELK, OpenSearch, GitHub, GitLab

About the Team

Our mission is to change the way business deals get done. In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their companys superhero. We create innovative AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and handle risk. We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions. By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth.

About the Role

As a Senior Distributed Systems (DevOps) engineer in our team, you will have the opportunity to work on creative cloud platform technologies (AWS, GCP) and implement tools to automate maintenance and support our engineering environments. You will also work closely with our Platform Engineering team to deploy changes to our engineering environments with a view to enabling verification of these changes.

What will you be doing

Design infrastructure and automated systems to support our distributed architecture

Build and Manage CI/CD pipelines and constantly improve their reliability & speed, and reduce lead time for changes.

Trace performance bottlenecks and identify optimizations and improvements at both the infrastructure and application level

Collaborate with our engineering team to meet high SLO and SLA requirements from customers

Maintain highly available web and backend systems that serve millions of users, and 1000s of requests per second

Closely collaborating with Developers to setup, configure and plan the necessary cloud services in support of new feature development on AWS

Securing our infrastructure at both the cloud layer (IAM) and application layer (PKI)

Building and expanding monitoring and alerting systems for both infrastructure and business operations, using internal tools & integrating into established 3rd party SaaS ones.

Establishing comprehensive infrastructure-as-code coverage to support our entire platform

Develop tools to enhance and support Developer Productivity

Champion automation of manual processes and reducing operational overhead

About You

Basic Qualifications

7+ years DevOps experience

5+ years database administration experience (Postgres, MariaDB, MSSQL)

4+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2.

4+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem.

Other Qualifications

Educational Background

BS in Computer Science (or a related field) or equivalent practical experience in large-scale systems.

Cloud & Infrastructure

Deep expertise in the AWS ecosystem, including building and maintaining multi-region environments using Terraform.

Automation & Development

Proven ability to build tooling and services in Python, TypeScript, Go, or Bash, with a focus on "automation-first" solutions for infrastructure scaling and self-healing.

Containerization & Orchestration

Advanced experience managing Kubernetes and Docker, including implementing Service Mesh (Istio/Linkerd) for advanced traffic management, canary deployments, and system resilience.

Data & Messaging Systems

Experience scaling and troubleshooting high-availability databases (PostgreSQL, DynamoDB, Redis) and message queuing clusters (Kafka, RabbitMQ, or SQS).

Observability & CI/CD

Proficiency in building robust monitoring and logging stacks (Prometheus, Grafana, ELK/OpenSearch) and integrating security-centric pipelines into GitHub/GitLab CI.

Systems Expert

Skilled at debugging, optimizing, and learning complex systemsfrom low-level networking to application-layer logic.

Security-First Approach

A proactive focus on security within Infrastructure as Code (IaC), container builds, and microservice deployments.

Our Approach to Flexible Work

With Flex Work, were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and