Platform Data DevOps & SRE

About us:

At Cloud Raptor, we are a forward-thinking IT solutions provider dedicated to helping businesses thrive in the digital age. Founded with a vision to bridge the gap between technology and business, we specialize in delivering innovative, scalable, and secure IT services that drive real value.

Our team comprises of passionate technologists, experienced consultants, and certified engineers who bring deep expertise in cloud computing, software development, DevOps, AI/ML, cybersecurity, and enterprise IT transformation. We serve a diverse portfolio of clients across BFSI, Retail, Utilities, Education, and Public
Sector domains, delivering customized solutions aligned with their unique goals.

With international presence in India , the Philippines , UK , and headquartered in Australia , we combine global capabilities with local insight. Whether youre looking to modernize legacy systems, scale with cloud infrastructure, or build AI-powered products, we help you accelerate innovation securely and efficiently.

At our core, we believe in building long-term partnerships, fostering continuous learning, and delivering outcomes that matter. Lets calibrate your future with technology.


Title: Platform Data DevOps & SRE Cloud Raptor India

Job Title: Platform Data DevOps & SRE
Location: India - Bengaluru
Company: Cloud Raptor
Experience: 4 to 6 Years

Mandatory Skills: AWS, Automation, Python, Golang, Terraform, Database Management


Job Description
We are seeking a Platform Data DevOps & SRE Engineer with 4 to 6 years of experience to build, automate, and operate scalable data platforms in cloud-native environments. The position combines software engineering, DevOps, database reliability engineering, and Site Reliability Engineering practices. The engineer will help manage NoSQL, streaming, caching, and relational data services while improving their availability, performance, observability, security, and operational efficiency. The ideal candidate has an automation-first mindset and hands-on experience with AWS or GCP, Infrastructure as Code, configuration management, containers, Kubernetes, observability, and production support. The candidate should be comfortable writing automation in Go or Python and troubleshooting complex distributed systems.

Required Skills

• 4 to 6 years of experience in DevOps, SRE, platform engineering, database reliability engineering, or a related field.
• Hands-on cloud experience, preferably with AWS; exposure to GCP or Azure is beneficial.
• Strong experience with Terraform and Infrastructure as Code practices.
• Experience with Ansible or a comparable configuration-management tool.
• Proficiency in Go or Python for scripting, APIs, infrastructure automation, or operational tooling.
• Experience supporting at least one NoSQL, streaming, or caching technology such as Cassandra, DynamoDB, MongoDB, Kafka, AWS MSK, Redis, or Aerospike.
• Working knowledge of SQL and relational database fundamentals; experience with PostgreSQL or Oracle is beneficial.
• Experience with monitoring and observability platforms such as Grafana, Datadog, Prometheus, or equivalent tools.
• Good understanding of Linux, networking, storage, REST APIs, and distributed-system fundamentals.
• Experience with Docker and Kubernetes, preferably Amazon EKS or Google Kubernetes Engine.
• Understanding of backup and recovery, disaster recovery, database migration, performance tuning, high availability, and capacity planning.
• Familiarity with CI/CD pipelines, Git-based development workflows, and automated deployment practices.
• Experience participating in incident response, production support, and root-cause analysis.
• Strong analytical, troubleshooting, communication, and collaboration skills.
• Certifications on AWS, Terraform and Kubernetes will be good to have.

Education Qualification

• Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.

Roles & Responsibilities

• Build, automate, and operate reliable platform data services across cloud and hybrid environments.
• Develop Infrastructure as Code using Terraform and configuration-management solutions using Ansible.
• Automate the provisioning, configuration, scaling, monitoring, upgrades, backup, recovery, and lifecycle management of data platforms.
• Support NoSQL, streaming, caching, and relational database technologies such as Cassandra, Kafka/AWS MSK, Redis, DynamoDB, PostgreSQL, MongoDB, or similar platforms.
• Improve platform availability, scalability, performance, security, and disaster-recovery readiness.
• Develop automation and operational tooling using Go or Python.
• Implement monitoring, logging, dashboards, and alerting using tools such as Grafana, Datadog, Prometheus, or equivalent solutions.
• Define and monitor SLIs, SLOs, and error budgets for critical platform services.
• Build self-healing capabilities, automated remediation, failover, and scaling mechanisms.
• Troubleshoot production issues involving databases, Linux systems, networking, storage, Kubernetes, and cloud infrastructure.
• Participate in incident response, conduct root-cause analysis, and implement permanent preventive fixes.
• Perform platform upgrades, migrations, performance tuning, capacity planning, and resilience testing.
• Implement database security best practices, including authentication, authorization, encryption, secrets management, and access controls.
• Develop and maintain CI/CD pipelines, operational runbooks, support procedures, and technical documentation.
• Collaborate with application, product, security, and platform engineering teams to deliver reliable self-service data capabilities.
• Contribute to technical reviews, knowledge-sharing sessions, and the development of junior engineers.
• Explore AI-assisted approaches for anomaly detection, predictive scaling, operational automation, and incident remediation where applicable.

Project Details

• Experience managing databases on virtual machines as well as cloud-managed database services.
• Knowledge of AWS services such as EC2, IAM, VPC, DynamoDB, ElastiCache, RDS, and MSK.
• Experience developing Kubernetes operators, control-plane services, or infrastructure automation in Go.
• Familiarity with consistency tuning, compaction, repair, replication, and recovery for distributed databases.
• Experience defining SLIs, SLOs, and error budgets.
• Exposure to AI/ML-assisted anomaly detection, predictive scaling, or automated incident remediation.
• AWS, Kubernetes, or Terraform certification.