Lead SDE - DevOps

M2pfintech

Chennai District

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Benefits offered by this job

Inclusive and People-First Culture

Health & Wellness Programs

Comprehensive Medical Insurance

Recognition Programs

Learning Opportunities

Job summary

M2pfintech in Chennai is looking for a Lead DevOps Engineer to architect and manage scalable Multi-cloud infrastructure. The ideal candidate will have strong expertise in automation, Kubernetes, and cloud services, working in a dynamic fintech environment.

This role requires a seasoned professional with a focus on building AI-ready platforms and optimizing cloud resources. Join us in shaping the future of digital finance with innovative technology solutions.

Qualifications

8+ years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
Strong expertise in Multi-cloud architecture and Kubernetes.
Experience with CI/CD automation and observability platforms.

Responsibilities

Architect and manage scalable infrastructure on Multi-cloud platforms.
Implement observability stacks and lead incident response.
Continuously monitor and optimize cloud costs and security practices.

Skills

Multi-cloud architecture

Kubernetes

Infrastructure-as-Code (IaC)

Scripting in Python/Bash/Go

CI/CD automation

Education

B.E. or B.Tech in Computer Science

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

AWS

Job description

M2P FinTech is a leading Banking Technology Platform, shaping the future of digital finance. Established in 2014 and headquartered in Chennai, we have a strong footprint across 30+ countries in Asia‑Pacific, the Middle East & Africa (MEA), and Oceania.

At the forefront of next‑gen fintech, we drive innovation in banking, lending, and payments infrastructure. Powering global fintech transactions, our comprehensive technology stack enables seamless banking solutions, lending platforms, Buy‑Now‑Pay‑Later (BNPL) services, customized credit cards, prepaid cards, and more.

About the Role

M2P FinTech is looking for a highly skilled Lead DevOps Engineer (AI‑Native Infrastructure & Platform Engineering) with deep expertise in Multi‑cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices. This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI‑ready infrastructure platforms that support high‑throughput APIs, LLM/AI workloads, GPU/CPU‑based compute, data‑intensive systems, real‑time inference pipelines.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost‑efficient cloud environments that enable high‑velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation‑first mindset, and a passion for developer productivity and platform reliability.

What You Will Do in this Role

Architect, deploy, and manage highly scalable and secure infrastructure on Multi‑cloud (AWS, GCP, Azure, OCI). Design cloud platforms supporting Payments infra, data pipelines, real‑time APIs, and high‑concurrency backend systems.
Hands‑on expertise with key Multi‑cloud services including VM, ECS/EKS/GKE/AKE/OKE, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU‑enabled instances.
Build and maintain Infrastructure‑as‑Code (IaC) using Terraform, CloudFormation
Design multi‑AZ and multi‑region architectures for high availability and disaster recovery (HA/DR).
Build reusable platform templates and shared infrastructure modules.
Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
Automate deployments, environment provisioning, and release workflows.
Build self‑service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
Implement automated patching, scaling, backups, cleanup workflows, and drift detection.
Manage Docker‑based environments, containerized applications, and optimize workloads using Kubernetes Multi‑cloud K8 engines.
Manage auto‑scaling, cluster health, node pools, ingress, service mesh, and workload isolation.
Optimize infrastructure for performance, resilience, and cost‑efficiency.
Implement progressive deployment strategies including blue/green, canary, and rolling deployments.

Observability, Incident Response & SRE Practices

Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
Lead incident response, root cause analysis, and blameless post‑mortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, compute usage, and data transfer) using Cloud Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
Implement security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
Build secure CI/CD pipelines with automated security checks, least‑privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.
Work closely with Payments engineering, product, and operations teams to drive a DevOps, SRE, GitOps, and automation‑first culture.
Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

What You’ll Need to be Successful in this Role

B.E. or B.Tech in Computer Science or any equivalent degree.
8+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
Strong expertise in Multi‑cloud architecture, services, and deep understanding of Kubernetes, containers, and cloud‑native systems.
Strong Infrastructure‑as‑Code expertise using Terraform, CloudFormation.
Strong Linux administration, networking, DNS, routing, and load balancing knowledge.
Strong scripting/programming experience in Python, Bash, or Go (preferred).
Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.
Experience with Payments infrastructure, Prepaid, Debit, UPI, FRM, Credit, and inference optimization.
Familiarity with Kafka, Redis, Multi‑DBs, and event‑driven systems.
Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Helm, and OpenTelemetry.
Any certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator.
Knowledge of distributed systems and large‑scale platform operations.