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# Azure DevOps Lead

- **Company:** OpenKyber LLC
- **Location:** Florham Park, NJ, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Cloud Storage, Software Debugging, DevOps, Elasticsearch, Fault Tolerance, Github, Python (Programming Language), PostgreSQL, OpenShift, Cloud Services, Prometheus, Software Engineering, TypeScript, Management of Software Versions, AWS Cdk, Data Logging, Google Cloud, DevOps Tools - Open-source, System Availability, Delivery Pipeline, Grafana, Boto3, Kubernetes Helm Charts, Multi-Cloud, Build Management, Containerization, Gitlab-ci, Kubernetes, Information Technology, Deployment Automation, Hashicorp, AWS Fargate, Apache Kafka, Graphql, Functional Programming, Api Design, Api Gateway, Restful APIs, Terraform, Serverless Computing, Docker, Golang
- **Published:** October 7, 2026
- **Apply:** https://www.careerjet.com/jobad/usc80de5b1150d1c1d922197e6934b15c7

## About the Role

* 7+ years of professional experience in cloud development or infrastructure engineering roles.
 * Bachelor s degree in Computer Science, Software Engineering, or a related discipline (or equivalent work experience).
 * Proven experience working to design and build SaaS applications and multi-cloud solutions.
 * Understanding of DevOps and hands-on experience working with DevOps tooling including, but not limited to, Gitlab CI, GitHub Actions, Azure Devops etc.
 * Working knowledge of public cloud SDKs/APIs (Azure SDK, AWS SDK, Google Cloud Platform SDK, etc.) for interacting with provider services (storage, identity, secrets, etc.). Boto3 and AWS CDK preferred.
 * Strong experience building APIs (REST or GraphQL) in Python and/or JavaScript/ TypeScript.
 * Solid knowledge of Docker, containerization best practices, and experience deploying containers in Kubernetes and OpenShift.
 * Experience authoring and maintaining Helm charts and Operators for complex deployments.
 * Familiarity with monitoring/logging/tracing tools (e.g., Prometheus, Grafana, OpenTelemetry, Elasticsearch/Loki, etc.).
 * Strong understanding of cloud hosting (AWS and Azure preferred) and cloud storage, secrets, and security services.
 * Familiarity with GitOps tooling and principles.
 * Working experience with Hashicorp Terraform to build and deploy complex environments.
 * Ability to work in cross-functional teams and communicate effectively, both written and verbal.
 * Self-motivated, detail-oriented, with strong problem solving and troubleshooting skills.

## Description

The Senior Cloud Engineer is responsible for designing, building and maintaining cloud hosted services and platforms to support OpenKyber s SaaS and offering. This includes, but not limited to, owning the development and maintenance of deployment artifacts such as HELM charts, docker container/ compose configurations, infrastructure as code and build/deployment/automation pipelines. The role works closely with platform, infrastructure, architecture and security teams to ensure cloud deployments are scalable, reliable, secure and aligned with enterprise architecture patterns. Reponsibilities:

 * Develop, test, and maintain cloud-native RESTful APIs using Python, GoLang/ Go and JavaScript/TypeScript.
 * Build and manage Docker container images, ensuring best practices for image build, security, cost efficiency and deployments.
 * Author, maintain, and version HELM charts for deploying services into Kubernetes/ Openshift Environment, including configuration/ annotation values, templates, upgrades and rollback support.
 * Participate in (or build) CI/CD pipelines to automate deployment, testing, monitoring, and roll-back of SaaS services.
 * Monitor the performance, reliability, and scaling behavior of services; identify bottlenecks and implement solutions (caching, concurrency, resource limits, horizontal auto-scaling).
 * Develop and maintain serverless SaaS components using AWS CDK, Lambda, API Gateway, and ECS/Fargate.
 * Ensure high availability and fault tolerance through Kubernetes features such as readiness and liveness probes, sensible resource requests/limits, and proper namespace/networking isolation.
 * Implement and enhance CI/CD pipelines with automated testing, versioning, and documentation publishing.
 * Manage in-cluster dependencies such as PostgreSQL, Kafka, Grafana, and ElasticSearch using Helm or Operators.
 * Collaborate with security, operations, and infrastructure teams to ensure deployments meet security, compliance, logging, monitoring, and auditing requirements.
 * Troubleshoot and debug issues in production and staging environments.
 * Provide root cause analysis and propose corrective measures.
 * Maintain clear documentation of architecture, deployment procedures, configuration, and usage of cloud tools.