Site Reliability Engineer II

Posted 8 Hours Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
Hybrid
Junior
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Implement and maintain reliable production systems: design and deliver small-to-medium projects, write maintainable code, triage and resolve incidents, reduce operational toil via automation, and improve observability and SLO/SLA monitoring while responsibly using enterprise AI capabilities.
Summary Generated by Built In

Play a key role in ensuring system reliability at one of the world’s most iconic and largest financial institutions.

As a Site Reliability Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will use technology to solve business problems and leverage software engineering best practices as we strive towards excellence. This role often works independently to execute small to medium projects, but you’ll also have the opportunity to collaborate with cross functional teams to continually improve your level of knowledge about JPMorgan Chase’s business and relevant technologies.

Job responsibilities

 

  • Executes small to medium projects independently with initial direction and eventually graduates to designing and delivering projects by yourself
  • Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering
  • Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root
  • Recognizes the toil within your role and proactively works towards eliminating it through either systems engineering or updating application code
  • Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis
  • Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
  • Applies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform, including strong understanding of SLI/SLO/SLA and error budgets
  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Geneos, Prometheus, Datadog, Splunk, and others
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.), including hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Strong expertise in AWS services, including EC2, S3, RDS, VPC, IAM, and networking.
  • Proficient in at least one programming language such as Python, Java/Spring Boot for AI/ML modeling and automation to reduce operational toil by building tools for repeated tasks
  • Experience with continuous integration and continuous delivery tooling, along with experience running production incident calls and managing incident resolution in collaboration with cross-functional teams
  • Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
  • Practical cloud experience in AWS supporting production services (visibility/troubleshooting, deployments, and operational hygiene) and strong debugging fundamentals across distributed systems (logs/metrics, latency analysis, dependency failures, data issues)
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity.  Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability

Preferred qualifications, capabilities, and skills

  • Experience with continuous integration and continuous delivery tooling 
  • Experience applying AI-assisted tooling to reduce support toil 
  • Familiarity with container and container orchestration and troubleshooting common networking technologies and issues 
  • Ability to identify new technologies and relevant solutions to ensure design constraints are met by the software team
  • Ability to initiate and implement ideas to solve business problems

Skills Required

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Proficient in site reliability culture and principles, including SLI/SLO/SLA and error budgets
  • Experience in observability and telemetry collection using tools such as Grafana, Dynatrace, Geneos, Prometheus, Datadog, Splunk
  • Hands-on experience in system design, resiliency, testing, operational stability, and disaster recovery
  • Strong expertise in AWS services including EC2, S3, RDS, VPC, IAM and networking
  • Proficient in at least one programming language such as Python or Java/Spring Boot for automation and tooling
  • Experience with continuous integration and continuous delivery tooling and running production incident calls
  • Experience with CI/CD tools like Jenkins, GitLab, or Terraform
  • Practical cloud experience in AWS supporting production services, deployments, troubleshooting, and debugging distributed systems
  • Working knowledge of enterprise-authorized AI capabilities to support SRE workflows with strong validation and data sensitivity awareness
  • Experience applying AI-assisted tooling to reduce support toil
  • Familiarity with containers and container orchestration and troubleshooting common networking issues
  • Ability to identify and implement new technologies and solutions to meet design constraints
  • Ability to initiate and implement ideas to solve business problems

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
  • Retirement Support A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
  • Leave & Time Off Breadth Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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