Senior Director of Software Engineering

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $198k

$110k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $162,237–$232,934.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Director of Software Engineering

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As a Senior Director of Software Engineering within Data Technology, you will lead multiple technical areas and departments to drive the adoption of advanced technical methods across various teams. You will be responsible for setting multi-year strategies and target architectures for batch and streaming compute platforms while managing roadmap planning, delivery governance, and performance metrics like latency and throughput. Your daily work involves building capabilities for distributed batch processing using PySpark and DBX, as well as real-time streaming via Flink. You will also integrate compute platforms with AI frameworks to support automated data engineering workflows. The role requires expertise in CI/CD, serverless execution patterns, and security controls within a regulated environment. You will collaborate with product and technology leaders to translate business needs into executable portfolios while ensuring high reliability across large-scale infrastructure.

What does a Software Engineering Director earn?

Median $262275 from 30 postings across 13 companies.

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Skills

PySpark Spark Flink DBX CI/CD Serverless Data Engineering Observability Reliability Engineering AI Frameworks Data Governance Performance Engineering Capacity Planning

What you'll do

Develop and evolve multi-year strategies and target architectures for batch and streaming compute platforms.
Establish platform operating models, service catalogs, SLAs/SLOs, risk controls, and lifecycle standards.
Drive platform adoption, standardization, and cost/performance optimization across various workloads and environments.
Lead multiple engineering teams to deliver core compute services, libraries, and improved developer experiences.
Manage roadmap planning, prioritization, delivery governance, and measurable outcomes like availability and latency.
Define reference patterns for data processing, orchestration, observability, lineage, and reliability engineering.
Build and scale capabilities for distributed batch processing (PySpark) and real-time streaming (Flink).
Integrate compute platforms with firmwide AI frameworks to support automated data engineering workflows.

What we're looking for

Formal training or certification on software engineering concepts and 10+ years of applied experience.
5+ years of experience leading technologists to manage, anticipate, and solve complex technical items within a domain of expertise.
Senior engineering leadership experience owning large-scale platforms with measurable reliability and adoption outcomes.
Deep expertise in distributed data processing (PySpark) and real-time streaming (Flink or equivalent).
Strong architecture capability across compute, storage, networking, security, and observability.
Proven ability to lead cross-functional delivery across multiple organizations with complex stakeholders.
Experience operating in regulated, high-control environments with strong risk and operational discipline.
Experience building developer platforms, data governance, or integrating AI capabilities into engineering workflows (preferred).

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