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Senior Software Engineer I

American Express · Posted Oct 30

Banking, credit card, payment network, and travel services

Bengaluru, KA, IndiaFull-timeHybridSenior Level6+ years₹30.0L–₹45.0L yearly31 applicants
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About the role

American Express Mission Control is pursuing an Automation First strategy to reduce operational toil, accelerate incident remediation, and improve service availability. The team builds automation frameworks such as IncidentPilot alongside AIOps integrations, event-driven remediation workflows, and observability-driven triggers across the Mission Control ecosystem. This role engineers and scales those automation capabilities and partners with Operations Engineering, Tools Engineering, SRE, App Support, and onboarding teams to convert repeatable production support activities into governed, measurable automations.

What you will do

  • Design, build, and support automation capabilities that enable Mission Control to detect, triage, repair, and validate incidents with minimal manual intervention.
  • Engineer event-driven workflows that connect observability signals, incident data, runbooks, and automation execution platforms to deliver consistent remediation outcomes.
  • Advance inhouse automation framework IncidentPilot and related automation platforms by improving configuration workflows, routing logic, automation triggering, failure handling, auditability, reporting, and self-service capabilities.
  • Partner with Mission Control onboarding teams to identify automatable SOPs and runbooks before or during onboarding, ensuring automation is embedded as a standard part of service transition.
  • Build reusable automation patterns for self-healing, job retriggers, pod scaling, component-based validations, health checks, reroutes, incident enrichment, and operational notifications.
  • Integrate automation solutions with platforms such as ServiceNow, event and incident pipelines, Kafka, Dynatrace, Splunk/ELF, Ansible, APIs, and enterprise workflow tools where applicable.
  • Use AI-assisted engineering and AIOps capabilities responsibly to accelerate troubleshooting, automate configuration support, attach relevant SOPs, and identify new automation opportunities.
  • Develop highly available, observable, and supportable services with clear telemetry, dashboards, alerts, operational runbooks, and failure recovery patterns.
  • Establish engineering practices that ensure automation is safe, governed, testable, auditable, and aligned with enterprise controls and production readiness expectations.
  • Monitor automation performance, adoption, success rates, exception paths, and operational savings to demonstrate measurable value and guide continuous improvement.
  • Provide technical leadership and mentorship to engineers by reinforcing coding standards, testing discipline, design reviews, and responsible AI-assisted development practices.
  • Collaborate across Mission Control, SRE, App Support, Observability, and enterprise platform teams to remove friction, standardize repeatable processes, and scale automation across domains.

Skills used in this role

What the employer is looking for

  • Bachelor’s degree in Computer Science, Computer Engineering, or comparable experience. 6+ years of software engineering experience in a professional environment, with hands-on experience building production-grade services, integrations, scripts, APIs, or automation workflows using Java, Python, or similar technologies.
  • Experience designing, developing, testing, and supporting automation solutions for production operations, incident management, observability, or reliability engineering use cases.
  • Knowledge of distributed, multi-tiered systems, algorithms, NoSQL databases, relational databases, APIs, and event-driven integration patterns.
  • Experience implementing large-scale automations such as self-healing, pod scaling, job retriggers, component-based testing, health checks, incident enrichment, or automated rerouting.
  • Experience with CI/CD environments and frameworks, including GitHub, Jenkins, automated testing, build pipelines, and deployment pipelines.
  • Practical experience implementing integration solutions, including REST APIs, batch and real-time processing, Kafka, messaging platforms, or workflow orchestration tools.
  • Understanding of observability and cloud-native principles, including monitoring, alerting, service discovery, circuit breakers, distributed tracing, dashboards, and operational telemetry.
  • Experience translating SOPs, runbooks, incident patterns, and production support activities into reliable, repeatable automation workflows.
  • Working knowledge of AI-enabled development tools, AIOps concepts, and responsible use of AI-assisted engineering workflows.
  • Understanding of governance, access controls, auditability, error handling, and production readiness considerations for automation platforms.
  • Experience with automated, functional, integration, and performance testing to validate automation correctness and stability.
  • Ability to communicate technical designs, risks, tradeoffs, and operational impact clearly with engineering and operations partners.
  • Strong analytical thinking, ownership, curiosity, continuous learning, and continuous improvement mindset.

Preferred qualifications

  • Experience building or supporting incident automation platforms, workflow engines, event-driven remediation tools, or self-healing operational capabilities.
  • Experience with Mission Control-adjacent tooling or patterns such as IncidentPilot, ServiceNow integrations, Event and Incident Pipelines, Kafka-based event ingestion, AIOps workflows, or observability-driven automation.
  • Experience working with automation platforms such as Ansible, EAP-style execution platforms, runbook automation, or enterprise orchestration tools.
  • Experience building production APIs, operational dashboards, reporting views, automation audit trails, or self-service configuration capabilities.
  • Experience using AI to identify automation opportunities, improve incident triage, support SOP discovery, assist with configuration creation, or accelerate engineering delivery.
  • Experience partnering with SRE, App Support, Operations Engineering, Observability, or onboarding teams to standardize support activities and reduce manual operational effort at scale.

Benefits and support

  • Competitive base salaries
  • Bonus incentives
  • Support for financial-well-being and retirement
  • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • Generous paid parental leave policies (depending on your location)
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

About American Express

American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.

Industry
Banking
Company size
76800 employees
Founded
1850-03-18
Location
New York City, New York, USA
Funding stage
Public Company

Leadership

SJ
Stephen J. Squeri

Chairman and Chief Executive Officer

CL
Christophe Le Caillec

Chief Financial Officer

RR
Ravi Radhakrishnan

Chief Information Officer and Executive Vice President

MR
Monique R. Herena

Chief Colleague Experience Officer

ER
Elizabeth Rutledge

Chief Marketing Officer

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