DevOps Engineer (ConsentIn)
Leegality · Mumbai, Bangalore, India ·
- Category
- Devops
- Experience
- 3+ years
- Company size
- 51-200
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Deploy and manage Kubernetes-based privacy compliance infrastructure for enterprise customers, handling databases, networking, and automation with Ansible and Helm.
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:
Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.
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:
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: