Datadog Jobs

Platform Engineering Engineer 3

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer 3 to join our growing team. This role will be instrumental in building and maintaining our platform, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong understanding of cloud technologies, infrastructure automation, and distributed systems. This is a hybrid role. Key Responsibilities The Platform Engineering Engineer 3 will be responsible for designing, building, and maintaining robust and scalable platform infrastructure. This includes automating infrastructure deployments, monitoring system performance, and troubleshooting issues to ensure high availability and optimal performance. The role requires a proactive approach to identifying and resolving potential problems before they impact users. Required Skills & Qualifications Programming Languages: Proficiency in Java , Python , and Go is essential. Experience with Bash scripting for automation and system administration tasks is also required. Cloud Platforms: Demonstrated experience with cloud platforms including AWS , GCP , and Azure . Containerization & Orchestration: Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration. Monitoring & Observability: Expertise in using monitoring and observability tools such a Prometheus , Grafana , ELK , OpenSearch , Datadog , OpenTelemetry , Jaeger , and Zipkin . Networking Fundamentals: Solid understanding of networking concepts including DNS , LB , TCP/IP , VPC/subnet design , and Security groups . Security & Compliance: Experience with IAM , Secrets Management using tools like Vault and KMS , and implementing Patching and Vuln Scanning procedures. Platform Reliability & Performance: A focus on Platform Availability and a proven ability to perform Runtime Performance Tuning . Infrastructure Automation: Expertise in Infrastructure as Code ( IaC ) principles and tools. Continuous Integration & Continuous Delivery: Experience with CI/CD pipelines and automation. Cloud Architecture: Ability to design and implement Cloud Architecture solutions. Site Reliability Engineering (SRE): Familiarity with SRE principles and practices. Runtime Optimization: Ability to perform Runtime Optimization for distributed systems. Distributed Systems: Experience with Distributed Backend Systems . AI-augmented Platform Operations: Experience with AI-augmented Platform Operations . Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to quickly identify and resolve issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. Any Degree is required. 6 - None years of experience are required. This indicates a mid-level seniority with expectations of independent work and mentorship of junior team members. What We Offer We offer a competitive compensation package.

Senior DevOps Engineer – Cloud Platform (AWS)

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in Bangalore. This role will focus on the design, implementation, and maintenance of our AWS -based cloud platform. The ideal candidate will possess a strong understanding of DevOps principles, Platform Engineering practices, and SRE methodologies, with a proven ability to build and operate robust, scalable, and secure cloud infrastructure. Key Responsibilities The Senior DevOps Engineer will be responsible for ensuring the reliability, security, and performance of our cloud platform. This includes automating infrastructure provisioning, implementing continuous integration and continuous delivery ( CI/CD ) pipelines, and proactively identifying and resolving operational issues. The role requires a deep understanding of cloud security best practices and a commitment to maintaining a secure and compliant environment. Required Skills & Qualifications DevOps : Demonstrated expertise in DevOps methodologies, including automation, continuous integration, continuous delivery, and infrastructure as code. Platform Engineering : Experience in designing and building scalable and resilient cloud platforms, with a focus on automation and self-service capabilities. SRE : Familiarity with SRE principles and practices, including monitoring, alerting, incident response, and post-mortem analysis. AWS : Extensive experience with AWS services, including EC2 , S3 , RDS , ElastiCache , Amazon EKS , MSK , Elasticsearch , and OpenSearch . Kubernetes : Proficiency in deploying and managing applications using Kubernetes . Terraform : Strong experience in infrastructure as code using Terraform . AWS CDK : Ability to utilize AWS CDK for defining and provisioning cloud infrastructure. Ansible : Experience with Ansible for configuration management and automation. Kafka : Understanding of Kafka and MSK for distributed streaming. Datadog , Prometheus , Grafana : Experience with monitoring and observability tools such as Datadog , Prometheus , and Grafana . Cloud Security : Solid understanding of Cloud Security principles, including IAM and Compliance . VPC , Subnets , Routing : Knowledge of VPC configuration, Subnets , and Routing . Security : Strong understanding of Security best practices. Analytical Skills : Ability to analyze complex data and identify trends. Problem-Solving Skills : Proven ability to troubleshoot and resolve technical issues. Communication Skills : Excellent written and verbal communication skills. Experience Required: 10 - 10 years of experience in a DevOps or related role. This level of experience indicates a senior-level expectation, requiring a candidate who can independently lead projects, mentor junior team members, and contribute to the overall DevOps strategy. What We Offer Salary: