
DevOps Engineer
2 days ago
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
engineer
s, 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, ). - 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
Engineer
ing
. - 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, , 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
engineer
ing / resilience testing
. - Familiarity with
multi-region, active-active architectures
. - Experience in
cost optimization and FinOps in cloud-native systems
.
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