Senior Platform Engineer
17 hours ago
Role Overview
We are looking for a
Senior Platform Engineer
experienced in
cloud-native platform design, infrastructure automation, and data platform enablement
. You'll work across
multi-cloud environments (AWS, Azure, GCP)
, enabling
DevOps and DataOps practices
, implementing
Infrastructure as Code (IaC)
, and embedding
observability and security
as part of the platform lifecycle.
Key Responsibilities
- Design, build, and operate
cloud-native platforms supporting enterprise data, integration, and application workloads. - Implement
Infrastructure as Code (IaC)
using
Terraform, CloudFormation, or Bicep
to provision scalable and secure infrastructure. - Collaborate with
Data Engineers, Cloud Architects, and DevOps teams
to design and automate infrastructure for data platforms such as
Snowflake, Databricks, BigQuery, and Kafka
. - Define and implement
observability best practices
(metrics, logs, tracing) using tools such as
Dynatrace, Prometheus, Grafana, or Cloud-native monitoring suites
. - Build and maintain
CI/CD pipelines
using
GitHub Actions, Azure DevOps, or Jenkins
, enabling automated deployments and testing for infrastructure and applications. - Contribute to
platform governance, Well-Architected reviews
, and
security and compliance
practices across cloud workloads. - Support
multi-cloud integrations
and migration of workloads from on-premises to cloud. - Partner with business and technology stakeholders to define
reference architectures
and
solution patterns
for data and application hosting. - Mentor and coach internal teams on
DevOps, Cloud, and Platform Engineering
best practices. - Contribute to
knowledge sharing, documentation
, and cross-team enablement within the engineering community.
Core Skills & Experience
- 8+ years of experience across
Cloud, Platform, or DevOps Engineering
, with exposure to
Data and Integration environments
. - Strong hands-on experience with
AWS (EKS, EC2, RDS, S3, VPC, Lambda)
and/or
Azure (AKS, App Services, Functions, Storage, VNet)
. - Expertise in
Infrastructure as Code (IaC)
using
Terraform
(multi-account, multi-tenancy environments). - Proven experience in
containerization and orchestration
using
Docker, Kubernetes (EKS/AKS/GKE)
. - Solid understanding of
CI/CD pipelines
and
DevOps automation
(GitHub Actions, Jenkins, Azure DevOps). - Experience with
observability and monitoring
(Dynatrace, CloudWatch, Grafana, ELK, Prometheus). - Understanding of
networking, IAM, and security principles
in cloud environments. - Familiarity with
API Management platforms
such as
MuleSoft Anypoint
,
APIM
, or similar. - Working knowledge of
data workflows and ETL pipelines
, including integration with
Snowflake, Databricks, or S3-based data lakes
. - Scripting skills in
Python, Bash, or PowerShell
. - Experience with
Agile methodologies
and stakeholder engagement in consulting or enterprise delivery environments.
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