DevOps Engineer (ConsentIn) in Bangalore, भारत

About Consent-In by Leegality:

We Enable end-to-end DPDP and privacy compliance across customer and vendor journeys using one centralized platform.

Privacy Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
   

2. Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.
   

Our Culture:

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

• Bi-annual performance appraisals
  
• A culture that rewards initiative, curiosity, and impact
  

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Consent-In by Leegality.

Location: MUM/BGL (On-Site)

Brief:

As a DevOps Engineer at Leegality, you’ll be responsible for deploying, managing, and troubleshooting our on-prem platform across customer datacentres. We’re looking for someone with 3-4 years of hands-on experience across self-managed databases, Linux and networking, Kubernetes operations, and Ansible automation. You’ll also own production issues and work closely with customer infrastructure, network, and security teams.

Key Responsibilities:

• Deploy and upgrade Java/Spring Boot services on Kubernetes clusters inside customer datacentres, using Helm with per-customer value sets.

• Manage the Kubernetes clusters themselves — installation and version upgrades, node lifecycle and capacity, control-plane and etcd health, certificate rotation, CNI, ingress and storage classes — both on clusters we build and on enterprise distributions the customer provides.

• Provision, tune and operate self-managed databases on Linux VMs — MySQL, PostgreSQL and MongoDB — including replication, backup, verified point-in-time restore, and version upgrades.

• Provision and operate the middleware layer on VMs — Redis (Sentinel), Apache Kafka and RabbitMQ — including clustering, authentication and capacity planning.

• Run OpenSearch as the centralised application log store: shard and heap sizing, index lifecycle and retention policies, cluster health.

• Automate the full infrastructure build with Ansible — reusable roles plus per-customer inventories, so the same automation installs the stack at every customer without being forked.
  

• Own day-2 Kubernetes operations: rollouts, probe and resource tuning, persistent storage, ingress and TLS, and diagnosis of pod, scheduling and networking failures.

• Troubleshoot production issues across the VM, network, Kubernetes and JVM boundaries — determine whether a fault is infrastructure or application, and drive root-cause analysis.

• Debug connectivity problems at the command line: routing, firewalls, DNS, MTU, TLS chains and certificate trust, packet capture.

• Manage certificates, truststores and private container registry (Harbor) content for restricted and air-gapped environments.

• Monitor the platform using Prometheus, Grafana and OpenSearch — define what gets alerted on, not only what gets dashboarded.

• Write Python and Shell automation for provisioning, health checks and routine operational tasks.

• Apply security and access hygiene appropriate to regulated customer environments — least privilege access, secret handling, network segmentation, audit readiness.

• Produce and maintain runbooks and handover documentation so a customer's own operations team can run what we install.
  

• Work directly with customer infrastructure, network and security teams during deployment and issue resolution, on-site where required.

• Collaborate with development and QA teams to plan and execute releases.

• Support periodic out-of-hours deployment and upgrade windows at customer sites
  

Recruitment Process:  

• Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless experience.
  

• You will be contacted via email with the next steps upon being shortlisted.
  

• The process may include Assessments, AI-enabled interviews, and In-Person Interviews with our team.
  

• Final selection and CTC will be based on your overall performance and experience.
  

Apply directly through our career page:  

For more information about us please visit our:

Website:  

LinkedIn:

Our Company and Culture:

Leegality's Privacy Notice: