Developer III - DevOps Engineering

15127 Locations Bengaluru Minimum Experience 4 Maximum Experience 6 Mandatory Skills AWS,Automation,Python,Golang,Terraform,Database Management Skill to Evaluate AWS,Cloud,Automation,Python,Golang,Terraform,Database Management Experience 4 to 6 Years Location Bengaluru Job Description We are seeking a Platform Data DevOps & SRE Engineer with 4-6 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 and Experience

• 4-6 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.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Certifications on AWS, Terraform and kubernetes will be good to have. Education Qualificaiton Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Job Title Platform Data DevOps & SRE 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 ing 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. Type of Employment Contract 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. Project Duration 12+ Shift Timings Second Shift from 2:00PM to 11:00PM