Lead development of secure, scalable, data-intensive software for a global KYC and risk assessment platform. Responsibilities include designing production applications, reusable frameworks, data platforms, and microservices; establishing engineering standards; mentoring engineers; advising cross-functional teams; and improving SDLC automation. The role requires expertise in Java or Python, cloud-native systems, large-scale data processing, databases, observability, orchestration, and data governance.
Join a team where your engineering expertise drives impactful solutions for a global financial leader. Advance your career while shaping the future of data-driven risk assessment.
Job summary
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector Data Engineering team, you deliver secure and scalable solutions that support the firm’s Global Know Your Customer (KYC) and Risk Assessment Data Platform. You collaborate with colleagues to drive best-in-class outcomes and set engineering standards. Your leadership helps define architecture and practices across multiple teams. Together, we create trusted platforms that power the firm’s critical risk management initiatives.
Job responsibilities
- Develop secure, high-quality production code for data-intensive applications and platforms, and mentor other engineers
- Create durable, reusable software frameworks and patterns leveraged across teams and functions
- Drive adoption of advanced technical methods and practices aligned with industry standards and product development methodologies
- Advise cross-functional teams on technological matters within your domain of expertise
- Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve automation at scale
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
- Expert in one or more programming languages, particularly Python and/or Java
- Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)
- Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
- Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
- Practical cloud-native experience (AWS, Azure, or GCP)
- Ability to present and effectively communicate with senior leaders and executives
Preferred qualifications, capabilities and skills
- Experience with modern data platforms such as Databricks or Snowflake
- Deep hands-on experience with Spark/PySpark and other big data processing technologies
- Expertise in open-source table formats and catalog services such as Apache Iceberg
- Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
Similar Jobs
Financial Services
Lead development of secure, scalable, data-intensive software supporting global KYC and risk assessment platforms. Responsibilities include writing production code, designing reusable frameworks, establishing engineering standards, mentoring engineers, advising cross-functional teams, and improving SDLC automation. The role requires expertise in Java or Python, enterprise application development, large-scale data processing, cloud-native platforms, databases, observability, orchestration, and modern data technologies.
Top Skills:
AirflowApache IcebergAPIsAWSAws BedrockAzureAzure OpenaiData LakesDatabricksDynatraceGCPGrafanaJavaKafkaMemcachedMicroservicesNosql DatabasesPysparkPythonRedisRelational DatabasesSnowflakeSparkSplunkTemporalVector Stores
Financial Services
Lead development of secure, scalable data-intensive applications supporting KYC and risk assessment platforms. Responsibilities include writing production code, creating reusable frameworks, setting engineering standards, mentoring engineers, advising cross-functional teams, and advancing automation. The role requires expertise in Java or Python, enterprise system design, large-scale data processing, cloud-native platforms, databases, orchestration, observability, and data governance.
Top Skills:
AirflowApache IcebergSparkAWSAws BedrockAzureAzure OpenaiData LakesDatabricksDynatraceGCPGrafanaJavaKafkaLlm OrchestrationMemcachedMicroservicesNosql DatabasesPysparkPythonRedisRest ApisSnowflakeSplunkTemporalVector Stores
Financial Services
Lead development of secure, scalable data engineering platforms supporting KYC and risk assessment. Build production software, reusable frameworks, and enterprise data applications while mentoring engineers and setting technical standards. Design and govern agentic AI and LLM-based systems with safety, observability, reproducibility, and human-in-the-loop controls. Apply cloud-native, data processing, microservices, orchestration, database, and governance expertise, and communicate technical recommendations to senior stakeholders.
Top Skills:
Agentic AiAirflowApache IcebergSparkAWSAws BedrockAzureAzure OpenaiData LakesDatabricksDynatraceGCPGrafanaJavaKafkaLlmsMemcachedNosql DatabasesPysparkPythonRedisRelational DatabasesSnowflakeSplunkTemporalVector Stores
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
