Sr Lead Software Engineer - Cassandra / AWS / Databricks

JPMorgan Chase
Plano, TX

Who this role is best for

Geared toward candidates with hands-on experience in Cassandra, Databricks, and AWS, comfortable with leading automation and incident management efforts.

Best fit for

  • Individuals who have applied AI-assisted engineering practices in production environments
    — “Drives adoption and governance of approved AI-assisted engineering practices across teams”
  • Candidates with a background in cloud-native development and system monitoring using AWS and Grafana/Splunk/Dynatrace
    — “Experienced in performance monitoring and capacity management using Grafana, Splunk, and Dynatrace”

Things to consider

  • On-call support is expected, including weekends and late shifts
    — “Willing to participate in support rotations, including weekends and late shifts”
  • Must be ready for full hands-on solution building in Python and Cassandra
    — “must be ready for full Hands-on solution building”

How to stand out

  • Highlight experience with Databricks Workflows and REST API development using API Gateway
    — “Expert Level in Cassandra management and operational setups and linkage between Databricks Workflows/Jobs”
  • Showcase AI-assisted development implementation in prior roles, with validation of outputs
    — “Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools”
  • Emphasize leadership in defining quality metrics for data processing and cloud migration
    — “Collaborate with QA and Application Development teams to define and implement quality metrics”
  • Position yourself as a leader in secure coding and operational resiliency practices
    — “Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • innovative software solutions
  • production support
  • batch job management
  • incident troubleshooting
  • resolution of data delivery issues
Typical background
5+ years of software engineering experienceformal training or certification on software engineering concepts

Skills & requirements

Required

CassandraAWSDatabricksPythonSnowflakeSQLAutomationMonitoringIncident ManagementAi-assisted Engineering PracticesCode QualityDelivery SpeedOperational OutcomesSecure CodingPeer ReviewAutomated TestingSdlc/tlm ToolchainRelease ManagementSoftware Development Lifecycle ActivitiesJules And Jenkins Pipeline Deployments

Preferred

ML Orchestration Tools

Stack & domain

CassandraDatabricksAWSPythonSnowflakeSQLAi-assisted Engineering PracticesCode QualityDelivery SpeedOperational OutcomesSecure CodingPeer ReviewAutomated TestingReuse Of Proven PatternsAutomation Within The Sdlc/tlm ToolchainMonitoringReportingOperational TasksSystem HealthEfficiencyResiliencyData SetsVisualizationsContinuous ImprovementCoding HygieneSystem ArchitectureRelease ManagementSoftware Development LifecycleJulesJenkins Pipeline DeploymentsCollaborationProblem-solvingCommunicationTeamworkSoftware EngineeringAutomationIncident ManagementAi-assisted DevelopmentCloud Migration

About the role

Original posting from JPMorgan Chase

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking - Corporate Technology  team , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job Responsibilities

Design and develop innovative software solutions, applying creative problem-solving skills to address complex technical challenges.Provide comprehensive production support, including batch job management, incident troubleshooting, and resolution of data delivery issues to ensure system reliability.Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.Lead automation efforts for monitoring, reporting, and operational tasks to enhance system health, efficiency, and resiliency.Utilize key monitoring tools and drive process improvements to maximize system stability and performance.Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that support continuous improvement of applications and systems.Proactively identify hidden issues and patterns in data, using insights to improve coding hygiene and system architecture.Collaborate with QA and Application Development teams to define and implement quality metrics for data processing, ingestion, API validation, cloud migration, and throughput testing.Oversee release management and software development lifecycle activities, with hands-on experience in Jules and Jenkins pipeline deployments. 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience

At least 3 years of software engineering experience with a focus on automation, monitoring, and incident management

Proficient in Python, Snowflake, Cassandra, Databricks, AWS, and SQL. Hands-on expertise in Python, Snowflake, Cassandra (including managing multiple clusters, diagnosis, and resiliency), and Databricks is mandatory and must be ready for full Hands-on solution building.Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security

Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Expert Level in Cassandra management and operational setups and linkage between Databricks Workflows/Jobs (scheduling and monitoring), Unity Catalog permissions and governance, AWS Lambda and Step Functions, and developing REST APIs using API Gateway. Databricks certified and strong knowledge of Databricks and AWS ComponentsSkilled in job scheduling tools such as Autosys and Airflow

Experienced in performance monitoring and capacity management using Grafana, Splunk, and Dynatrace

Strong communication, collaboration, and problem-solving skills

Willing to participate in support rotations, including weekends and late shifts

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Source: JPMorgan Chase careers

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