SRE – Kubernetes Support Engineer
M&G is hiring an SRE – Kubernetes Support Engineer in Pune, India. Level rates it ; you can apply on Level.
AI in this role
About M&G India
We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.
Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.
Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.
About M&G
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
As a Kubernetes Support Engineer, you will:
- Provide expert operational support for Azure Red Hat OpenShift (ARO) clusters, ensuring availability, performance, and reliability.
- Act as a key point of escalation for complex OpenShift, Kubernetes, and container platform issues.
- Own production incidents end-to-end; diagnosis, remediation, root-cause analysis, and prevention of recurrence.
- Work with the engineering teams to aid them in the design, implementation and maintenance of automated solutions to enhance the reliability and efficiency of ARO environments, including the review and implementation of disaster recovery runbooks and backup policies (OADP).
- Drive upgrades and cluster lifecycle operations across ARO.
- Identify, implement and maintain monitoring for the ARO platform
- Support and manage the Azure resources underpinning OpenShift clusters (VNets, Load Balancers, Firewalls, Storage, RBAC, Policies).
- Ensure platform adherence to identity, networking, logging, monitoring, and operational standards, including providing evidences for audit compliance and applying and reviewing network and security policies (Kyverno).
- Communicate effectively with engineering teams, application teams and relevant third-party providers such as Redhat and Microsoft, including creating and representing changes in forums.
- Support major incidents and participate in out-of-hours and on-call work where required.
- Provide knowledge sharing sessions and create relevant documentation to ensure that all team members have the relevant skills to support the platform.
Knowledge, Skills, Experience & Educational Qualification
- Minimum 5 years experience in Platform Support, Cloud Support, Application Support, or Infrastructure roles.
- Hands of experience with Azure or similar cloud platforms.
- Strong hands-on experience with Azure Red Hat OpenShift (ARO) or similar Kubernetes-based platforms is essential.
- Certifications such as AZ-900 (or similar cloud fundamentals certification) are required. Red Hat OpenShift Administrator or similar Kubernetes certifications are advantageous.
- Strong knowledge of Kubernetes, containerisation concepts, Operators, Ingress, Networking, Storage and cluster lifecycle, including Machine set, cluster autoscaling, safe drain/cordon, RHCOS patch cycles, worker pools, quotas and configuring limits and requests.
- Proficiency in scripting languages including PowerShell, YAML, Terraform, KQL and Kubernetes-native tooling (Operators, Helm, GitOps).
- Experience administering Azure components:
RBAC, Entra ID, PIM, Policies, Networking, Firewalls, DNS, Log Analytics, Azure Monitor. - Skilled with CLI tools: oc, kubectl, az.
- Experience with CI/CD tooling (Azure DevOps, Git), Infrastructure-as-Code (Terraform), YAML pipelines.
- Strong knowledge of observability tooling (Cluster Logging/Log Forwarder, Azure Monitor, Prometheus, Grafana, Elastic, Splunk, Log Analytics, ServiceNow).
- Demonstrable experience supporting production platforms and diagnosing complex, multi-layered issues.
- Knowledge of Private ARO networking ( VNet peering, UDRs, NAT Gateway/Azure Firewall egress, Private DNS).
You need to be this kind of person
- Passionate about leading a highly motivated team to drive business outcomes
- Able to work and learn quickly in a fast paced, fun and dynamic environment
- Curious to learn and develop your own technical skills
- Able to both collaborate and move as a team but also be self-motivated and deliver results independently when required.
- Able to take ownership of issues, tasks and solutions managing them from inception to conclusion. Whilst working within the audit and governance frameworks.
- Ability to challenge and speak up in discussions with colleagues of all levels
Educational Qualification:
- Graduate/Masters in any discipline
- Cloud certifications would be an added advantage
M&G Behaviours relevant to all roles:
Tell it like it is: Respectfully speaking up to create better ways forward – both direct and empathetic
Own it now: Putting your name on things with confidence to drive progress and results quickly
Move it forward together: Forming cross functional teams to seize the right opportunities and solve real problems
.........................................…………With CARE and INTEGRITY………………………………………………………...
We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
How we rate this
SRE – Kubernetes Support Engineer at M&G rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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