Senior Lead Software Engineer -Java/Kotlin , Python programmer, APIs
JPMorgan Chase13 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design and develop scalable, fault-tolerant microservices and externally consumable APIs for rule-based and ML-based detection pipelines.
- Model and implement supervision, alert triage, queue, escalation, disposition, reviewer, and audit workflows.
- Build streaming and batch pipelines that ingest, index, enrich, and distribute communications content and alerts.
- Design immutable, traceable data models for alerts, queues, policies, and audit artifacts.
- Operationalize ML and LLM models in detection and alert-generation pipelines with Data Science and ML Engineering teams.
- Build unit, integration, and performance tests and establish consistent validation and quality practices.
- Lead enterprise adoption of AI-assisted engineering and SDLC/TLM automation across multiple teams, including governance, human-in-the-loop validation, and measurable outcome tracking.
- Build CI/CD pipelines with automated quality gates and implement metrics, tracing, logging, monitoring, and troubleshooting capabilities.
- Partner with product management and compliance experts to improve alert accuracy, reliability, and false-positive rates.
- Identify patterns in communications data to improve detection quality and drive product and process improvements.
- Mentor engineers and provide senior-level technical leadership.
Requirements
- 8+ years building resilient, scalable, cost-efficient, enterprise-grade cloud-native products.
- 2+ years of experience in financial-industry compliance.
- Expertise programming in Java, Kotlin, and Python, including building headless, externally consumable APIs.
- Experience building cloud-native microservices and streaming and batch architectures using Spark and/or Flink.
- Hands-on experience with AWS, Elastic/OpenSearch, Kafka, and PostgreSQL.
- Experience integrating and operationalizing ML and LLM models and pipelines in production.
- Experience with GitHub Copilot, Qodo (Codium), and multi-team adoption of enterprise-authorized AI-assisted development and delivery tools.
- Ability to define governance and ways of working for AI-assisted engineering, including human-in-the-loop validation, quality gates, secure handling of sensitive inputs and outputs, and outcome measurement.
- Understanding of responsible AI use, data sensitivity, resiliency, security implications, and control expectations in engineering workflows.
- Experience with Prometheus, Grafana, OpenTelemetry, ArgoCD, Helm, Terraform, Jenkins, and GitHub Actions.
- Experience with Test-Driven Development, defined SLI/SLO/SLAs, and production ownership.
- Strong communication, collaboration, mentoring, and technical leadership skills.
- Preferred familiarity with modern front-end technologies, MLOps in the cloud, and Storm.
- Preferred experience building cost models aligned to SLIs/SLOs and handling data privacy, PII, and encryption in regulated environments.
Tech Stack
Apache FlinkApache KafkaApache SparkApache StormAWSGitHub ActionsGrafanaHelmJavaJenkinsKotlinPostgreSQLPrometheusPythonTerraform
Categories
BackendData Engineering
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.