Sr. DevOps Engineer

About Exsilio : Exsilio Consulting India Pvt.

Ltd.

builds and manages the critical products and services that Microsoft runs on.

We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster and more securely every day.

Exsilio employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions.

We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.

We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!

Responsibilities Architect and manage AWS infrastructure (EKS / ECS, MongoDB, VPC, ALB / NLB, ElastiCache, etc.).

Define and maintain Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.

Build and optimize CI / CD pipelines ensuring zero-downtime deployments (Blue / Green, Canary).

Establish monitoring, logging, and observability with CloudWatch, ELK / Opensearch, Prometheus, Grafana, and distributed tracing.

Manage real-time messaging and streaming platforms (Kafka, Socket.io).

Implement scaling strategies including auto-scaling, caching layers, and multi-region failover.

Enforce cloud security best practices (IAM, WAF, TLS, Secrets Manager, audit logging).

Support disaster recovery and business continuity (backups, snapshots, multi-region strategies).

Collaborate with backend, data, and mobile teams to optimize performance and reliability.

Requirements 4+ years of professional experience in DevOps / Cloud Engineering .

Proven expertise in AWS services (EKS / ECS, MongoDB, VPC, IAM, CloudWatch, etc.).

Strong skills with IaC tools (Terraform, AWS CDK, or CloudFormation).

Hands-on experience building CI / CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Jenkins).

Solid knowledge of monitoring & logging stacks (Prometheus, Grafana, ELK, CloudWatch).

Experience with real-time data pipelines (Kafka, Socket.io, Redis).

Proficiency in MongoDB administration, sharding, and performance tuning .

Strong understanding of networking, load balancing, and cloud security .

Proficient in scripting / automation (Python, Bash, or Go).

Hands-on with container orchestration (Kubernetes, ECS Fargate).

Nice to Have Experience with geospatial data systems (Redis GEO, H3 / S2).

Knowledge of chaos engineering / resilience testing .

Familiarity with multi-region, active-active architectures .

Experience in cost optimization and FinOps in cloud-native systems .

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