Lead - Platform And DevOps

VuNet is a pioneer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences across the financial services. Our deep-tech platform provides end-to-end visibility into customer journeys — empowering proactive issue resolution, operational resilience, and superior user satisfaction.

If you’ve ever used instant payment systems like UPI, chances are you’ve already experienced the power of our platform — we monitor over 28 billion digital transactions monthly (that’s equal to watching 3 years of tik-tok videos), touching 300 million users with leading banks and financial institutions.

VuNet is Series B funded, part of NASSCOM DeepTech Club, awarded NASSCOM’s AI Gamechanger, recognized in Forbes DGEMS 200 and by several global analysts including Gartner, Omdia.

We’re building a new category of observability purpose-built for complex digital journeys — across payments, lending, core banking and more — already powering some of the largest banks in India and MEA.

We are looking for a hands-on Platform & DevOps Lead to own and evolve the engineering platform on which VuNet products are built, released, deployed and operated.

This role brings together our Platform and DevOps capabilities.

VuNet runs across a mixed operating model: customer-managed on-premise environments, private cloud deployments and an increasing SaaS/cloud footprint. The engineering challenge Is therefore not only to operate infrastructure reliably, but to make installation, upgrades,releases and platform operations repeatable across very different environments.

Today, some of this work still requires significant involvement from Platform, CARE and engineering teams. One of the key objectives of this role is to progressively make the platform self-sufficient, automated and supportable so that Customer Success teams, and eventually Qualified implementation partners, can perform standard installations and upgrades without deep Platform involvement.

This is a lead engineering role, not a coordination role.

You will remain handson, work through difficult production and platform problems, provide technical direction to the team and build stronger engineering capability across Kubernetes, CI/CD, automation, reliability and cloud operations.

As VuNet expands its SaaS and Cloud operations, this role is expected to grow in scope and can evolve into broader Platform leadership.

Are you excited to be a part of VuNet's trailblazing team? Join VuNet and make a difference

Platform Engineering

• Own the Kubernetes-based runtime platform used to deploy VuNet products across on-premise, private cloud and public cloud environments.
• Drive platform architecture, lifecycle management, upgrades, scaling, security, performance and reliability.
• Standardize environments and reduce customer-specific variations wherever possible.
• Build reusable platform capabilities instead of solving the same deployment and operational problems repeatedly.

Customer Installation & Upgrades

• Own the engineering capability for installation, upgrades and platform lifecycle management across customer environments.
• Improve installers, upgrade tooling, environment validation, sizing, pre-flight checks, rollback and troubleshooting mechanisms.
• Move progressively towards self-service installation and upgrades.
• Enable Customer Success and implementation partners to handle standard deployments without requiring Platform engineers for every activity.
• Ensure difficult customer environments feed improvements back into the platform rather than remaining one-off operational fixes.

DevOps & Release Engineering

• Own and evolve CI/CD and release engineering practices across the product.
• Build reliable pipelines for build, test, packaging, deployment and release.
• Drive GitOps, deployment automation and consistent release practices.
• Improve rollback, recovery, zero-downtime deployment and upgrade mechanisms.
• Work closely with Product Engineering and QA to improve release predictability and deployment quality.

Cloud & Infrastructure Automation

• Build reusable cloud infrastructure patterns using Infrastructure as Code.
• Own provisioning and automation across compute, storage, networking, IAM and Kubernetes infrastructure.
• Support VuNet's move towards SaaS and private SaaS operating models.
• Over time, build the operational capability required for Cloud Ops and SaaS Ops.

Reliability & Operations

• Establish strong operational practices for the platform.
• Own monitoring, alerting, capacity planning, infrastructure health and platform-level reliability.
• Lead investigation of complex infrastructure, Kubernetes and deployment issues.
• Drive high-quality RCA and ensure recurring incidents result in engineering improvements.
• Improve resilience, backup, recovery and operational readiness.

Security

• Build security into the platform and deployment lifecycle.
• Own areas including Kubernetes hardening, RBAC, secrets management, container security, image scanning, vulnerability remediation and infrastructure security.
• Work closely with security teams to support BFSI customer and compliance requirements.

Engineering Leadership

• Lead and mentor engineers across Platform and DevOps.
• Create clear primary and secondary ownership across critical platform capabilities.
• Reduce dependencies on individual engineers.
• Develop the team across Kubernetes, cloud, CI/CD, automation, troubleshooting and reliability engineering.
• Set technical direction while remaining close enough to the systems to step into difficult problems when required.
• Work closely with Product Engineering, QA, CARE, Customer Success and implementation teams.

• Strong hands-on experience running Kubernetes in production.
• Deep understanding of Kubernetes architecture, networking, storage, scheduling, security, upgrades, scaling and troubleshooting.
• Experience operating Kubernetes across on-premise and/or private-cloud environments in addition to managed Cloud Kubernetes.
• Strong experience designing and operating CI/CD pipelines for complex containerized products.
• Hands-on experience with Infrastructure as Code such as Terraform, Pulumi or equivalent.
• Strong understanding of Linux, networking, storage, containers and distributed system fundamentals.
• Production experience with at least one major cloud platform such as AWS, Azure or GCP.
• Strong scripting or programming skills using Python, Go, Bash or similar.
• Experience with monitoring and observability technologies such as Prometheus, Grafana, OpenTelemetry, ELK or equivalent.
• Experience handling production incidents, RCA, capacity planning and infrastructure reliability.
• Experience supporting installation and upgrades of enterprise software across multiple customer environments.
• Experience leading engineers while remaining technically hands-on.
• High agency: identifies meaningful problems, forms hypotheses, prototypes solutions, validates them against data and drives successful approaches into production without waiting for detailed task definitions.

• Strong Kubernetes certification is preferred, especially CKA or CKS.
• Cloud DevOps / SysOps certification in AWS or Azure or GCP is strongly preferred.
• Certifications should be backed by meaningful production experience operating these technologies at scale.

• Experience building internal platforms or self-service infrastructure capabilities.
• Experience with Helm, operators, GitOps platforms and Kubernetes lifecycle automation.
• Experience with service meshes, ingress controllers, API gateways and K8S networking.
• Experience with multi-cloud or hybrid-cloud environments.
• Experience with SaaS operations, SRE or cloud operations.
• Experience operating within enterprise security and compliance environments such as ISO 27001, SOC 2 or CIS benchmarks.
• Experience working with implementation partners or enabling third-party teams to deploy enterprise products

The strongest candidate will start with

Why does this deployment require manual intervention?

Can we automate this once instead of solving it separately for every customer?

How do we make upgrades safe, repeatable and reversible?

How do we reduce the amount of specialist knowledge required to operate the platform?

How do we make the platform ready for a larger SaaS and cloud footprint?

Where are the current operational dependencies and how do we engineer them out?

You should be equally comfortable discussing Kubernetes architecture with a senior engineer and debugging a broken deployment with the team.

You should be willing to challenge existing operational practices rather than simply inherit them.

Today, enterprise deployments require engineering expertise across Kubernetes, infrastructure, product packaging, upgrades and customer environments.

That model will not scale as the number of customers and deployment models increase.

At the same time, VuNet is expanding towards SaaS and cloud-operated environments, which introduces a different level of expectations around automation, reliability, scalability and operational ownership.

This role exists to bridge those two worlds: make enterprise deployments substantially more self-sufficient while building the platform engineering foundation required for SaaS and Cloud Ops.

Life at VuNet: Building the Future Together

At VuNet, we’re building a world-class observability platform, proudly Made in India — and we're just getting started.

We’re a team of passionate problem-solvers who love tackling complex challenges. We learn fast, adapt quickly, and stay curious — especially when it comes to exploring and staying ahead of the curve with emerging technologies like Gen AI.

More than just a tech company, VuNet is a place where collaboration, learning, and innovation are part of everyday life. We believe in working together, taking ownership, and growing as a team.

If you’re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team — you’ll feel right at home at VuNet.

• Health insurance coverage for you, your parents, and dependents.
• Mental wellness and 1:1 counselling support.
• A learning culture that promotes growth, innovation, and ownership.
• Transparent, Inclusive, and high-trust workplace culture.
• New Gen AI and integrated Technology workspace.
• Supportive career development programs to expand your skills and enhance expertise with various training programs.