Infrastructure Engineering

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

JPMorgan Chase & Co. seeks an Infrastructure Engineer II to join the Commercial & Investment Bank Payments Technology team in Bengaluru.

You will apply advanced infrastructure knowledge across multiple applications, focusing on data and systems at scale, while ensuring end-to-end monitoring and reliability. Key responsibilities include leveraging enterprise AI capabilities to speed up monitoring and capacity analysis, collaborating with production and infrastructure teams to validate results,

Qualifications

• DevOps mindset with hands-on experience in CI/CD pipelines.
• Experience deploying to hybrid cloud environments (on-prem and off-prem).
• Strong Linux command-line skills (RHEL preferred).
• Experience with monitoring and observability tools (Datadog, Dynatrace, Grafana).
• Familiarity with Kafka, Elasticsearch, and related resiliency concepts.

Responsibilities

• Applies technical knowledge to projects of moderate scope with scalable data and systems.
• Uses AI-enabled capabilities to accelerate monitoring and capacity analysis, ensuring data sensitivity.
• Resolves issues and escalates as needed; supports capacity risk remediation statuses.
• Drives daily activities for capacity processes and partners with teams for readiness and resiliency.

Skills

DevOps

Problem solving

Communication

Tools

Jenkins

Kubernetes

SDLC pipelines

Linux (RHEL)

Git

Kafka

Elasticsearch

Helm

Terraform

Datadog

Dynatrace

Grafana

OpenTelemetry

Job description

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.

As an Infrastructure Engineer II at JPMorganChase within the Commercial & Investment Bank Payments Technology team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

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 strong 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