With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team.

Job responsibilities

- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end-to-end monitoring of applications
- Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements
- Resolves most nuances and determines appropriate escalation path
- Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
- Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
- Accountable for making significant decisions for a project consisting of multiple technologies and applications
- Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations

Required qualifications, capabilities, and skills

- Formal training or certification on infrastructure engineering concepts and 2+ years applied experience
- Hands-on experience in DevOps, with a strong focus on Jenkins, Kubernetes, and SDLC pipelines
- Proven experience deploying to hybrid cloud infrastructure with both on-prem and off-prem capabilities
- Working knowledge of Linux systems (preferably RHEL),



including strong command-line skills for day-to-day engineering and troubleshooting
- Working with production support teams to facilitate deployment readiness and resiliency plans, along with MTTR improvement capabilities
- Proficient in Git branch management and infrastructure security. Knowledge of setting up and managing Kafka and Elasticsearch, including their resiliency
- Experience with planning, design, and deployment of Kafka messaging applications and troubleshooting issues
- Experience with Helm for Kubernetes package management, Experience with Terraform
- Ability to utilize multiple observability and monitoring tools (Datadog, Dynatrace, Geneos, Grafana, OpenTelemetry) to discern and discover root cause issues related to application and/or infrastructure code
- Working knowledge of querying and monitoring relational/NoSQL databases (SQL Server, Oracle, MongoDB) †provisioning is handled via self-service tooling, so deep build-out expertise is not required
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with robust validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations

Preferred qualifications, capabilities, and skills

- Proficient in Python and/or PowerShell

- Strong communication and collaboration skills

- Certifications in Kubernetes (CKA or CKAD), AWS (Solutions Architect Associate or SysOps Administrator Associate), and Terraform (HashiCorp Terraform Associate)

- Experience in financial services or a related industry

📌 Infrastructure Engineering (Bengaluru)
🏢 JP Morgan Chase
📍 Bengaluru