Platform Engineer - Kubernetes & Python (10 - 15 Yrs)

V2 Solutions; Pune District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Marsh Tech, a Marsh business, is seeking a Senior Manager for IT Systems Engineering (Platform Engineer - Kubernetes & Python) in Pune. The role blends on-prem and public cloud, with a hybrid work model requiring three days in the office weekly.

You will automate deployments, manage Kubernetes stacks, and partner with software teams to advance CI/CD and self-service environments. Ideal candidates will have strong Kubernetes expertise, YAML/ArgoCD skills, and experience with cloud-native tooling,

Qualifications

• Must design and maintain Kubernetes deployments with YAML specifications.
• Experience with ArgoCD, Crossplane, and cloud-native tooling.
• Strong scripting and automation skills across CI/CD pipelines.

Responsibilities

• Automate deployments and integrations to PaaS services with DevOps teams.
• Deploy and support Kubernetes and related stacks in hybrid environments.
• Contribute to on-call 24x7 support and incident resolution.

Skills

Kubernetes

YAML & ArgoCD

CI/CD pipelines

Python

Terraform

Docker

Linux

API development

Tools

JFrog Artifactory

HashiCorp Vault

Komodor

Calico Enterprise

CASTAI

AWS EKS

Azure AKS

Job description

We are seeking a talented individual to join our TE2A Enterprise Systems Engineering team at Marsh Tech, a Marsh business. This role will be based in Pune. This is a hybrid role that has a requirement of working at least three days a week in the office. This is an opportunity to join an agile, leading edge global team during an exciting time within DevOps for Marsh. You will be involved in implementing innovative technologies to engineer Platform services, container orchestration technologies as well as CI/CD automation. This is a great opportunity for someone who has the desire to work with teams that are passionate about innovation and creating amazing client experiences.

Senior Manager - IT Systems Engineering (Platform Engineer - Kubernetes & Python)

We will count on you to:

• Automate, write code, and build pipelines, working hand in hand with Software Engineering teams on automating deployments and integrations to PaaS services.
• Leverage AI capabilities as applicable.
• Act as a consultant and subject matter expert for Senior MMC Leadership, Project Managers, Software and Engineering teams, to navigate the constantly changing technology landscape and identify appropriate tactical and strategic solutions to deliver self-service, automated cloud, and container-based application environments.
• Deploy and support Kubernetes and related technology stacks.
• Engineer and implement new technology solutions, on premise and in public cloud.
• Obtain and maintain an in-depth understanding of cloud native technology to ensure all appropriate options are considered to support business initiatives.
• A service delivery mindset with a requirement to participate in on-call rota to provide 24*7 support.

What you need to have:

• Design, write and maintain YAML definitions for deploying Kubernetes apps with ArgoCD Design, write and maintain YAML manifests for deploying infrastructure with Crossplane Subject matter expert for Kubernetes as well as one or more of the following technologies: JFrog Artifactory, HashiCorp Vault, Komodor, Tigera Calico Enterprise, AWS EKS, Azure AKS, CASTAI
• Additional skills; Apigee, Terraform, Crossplane, JavaScript, Node.js, AngularJS, GitHub, Azure DevOps, Python, Go, API development, CI/CD pipelines, GitOps/ArgoCD, Docker, Linux, Bash, Windows, .NET core, Anthos, Datadog, CASTAI Experience with AWS/Azure/GCP/OCI public cloud; development and architecture.
• Experience with REST APIs to support integration of infrastructure, cloud, and platform as a service technology.
• Knowledge of web, security, and networking protocols, public cloud solution architecture experience.
• Familiarity with using AI tools to support:scripting and automation, troubleshooting, documentation generation, test case creation, code review assistance Basic understanding of LLMs / generative AI concepts prompts hallucinations / accuracy, limitations security considerations, responsible use of AI in engineering workflows Ability to evaluate AI-generated outputs for accuracy, security, and maintainability Exposure to automation/platform tooling where AI may be used, such as:CI/CD pipelines, observability / monitoring, incident response, workflows, infrastructure scripting

What makes you stand out?

• Development experience with web-based applications and APIs (RESTful), web services-based applications, data platforms/services.
• API Management platforms.
• Proven ability to deliver customer focused shared service platforms.
• Proven ability to work from inception to production building and delivering software.
• A commitment to best practices and striving for the elimination of manual operational processes to promote a DevOps oriented software delivery model.
• Hands-on use of AI/ML cloud services in AWS, Azure, or GCP.
• Exposure to AIOps, intelligent alerting, or operational analytics tools.
• Experience with Python for AI-related automation or prototyping.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment.

We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office.

All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.