at J.P. Morgan
Bulge Bracket Investment BanksPosted 5 days ago
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**Infrastructure Engineer II at JPMorgan Chase**: Apply your 2+ years of infrastructure expertise in this Bengaluru-based role. Utilize your technical prowess in software, applications, and processes to manage moderate-scope projects, ensuring end-to-end application monitoring. Leverage enterprise AI capabilities for capacity analysis. ESSENTIAL: Hands-on DevOps experience, especially Jenkins and Kubernetes; proficient in Linux, Git, Kafka, Elasticsearch, and multiple observability tools. EXPERIENCE: Planning, designing, and deploying Kafka messaging applications; working with production support teams and hybrid cloud infrastructure. PREFERRED: Python/PowerShell proficiency, Kubernetes/HashiCorp certifications, and financial services industry experience. JOIN us to drive daily infrastructure activities, decretively handle project decisions, and collaborate in our agile team.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
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
- 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
