Engineering Manager Jobs

About The Position

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience leading teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines
• Hands-on experience designing and operating distributed, event-driven systems using Java, Spring Boot, and Apache Kafka in production at enterprise scale
• Strong working knowledge of stream processing frameworks (Apache Flink or equivalent) and analytical data stores (ClickHouse, Druid, or similar) for real-time aggregation and time-series analytics
• Demonstrated experience deploying and operating containerized workloads on Kubernetes (EKS) within AWS, including familiarity with infrastructure-as-code, autoscaling, and production incident response
• Proven track record of delivering observability, monitoring, or alerting platforms — including threshold management, anomaly detection, or root-cause/impact-analysis capabilities - in mission-critical environments

Nice To Haves

• Experience working with semantic layers or metrics stores (dbt MetricFlow, Cube, LookML, or equivalent) and understanding of the value of governed metric definitions across consuming applications
• Background in payments, capital markets, or other regulated financial services domains, with appreciation for data residency, hybrid cloud, and regulatory constraints
• Familiarity with Databricks Lakehouse architecture, Apache Iceberg, and modern data engineering patterns including medallion architecture and SCD2 modeling
• Experience integrating OpenTelemetry traces and metrics into analytical platforms, and building observability solutions on top of telemetry data
• Exposure to access control and policy frameworks (Open Policy Agent, Unity Catalog, attribute-based access control) for enforcing entitlements across federated data sources
• Front-end leadership experience overseeing teams building data-dense ReactJS applications, with appreciation for D3.js or similar visualization libraries used in operational dashboards
• Experience working in a federated platform model where the engineering team enables domain experts and partner teams rather than owning all business logic centrally

Responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation
• Lead the design and delivery of a high-throughput, low-latency observability platform built on Java Spring Boot, Kafka, Flink, Databricks, ClickHouse, and ReactJS, ensuring sub-second alerting and accurate impact analysis at payments-scale volumes
• Partner with the metrics store platform team to consume governed metric definitions, ensuring observability dashboards, thresholds, and alerts use a single source of truth rather than reimplementing business logic
• Drive the technical roadmap for threshold management and alerting capabilities, including static, dynamic, and ML-driven thresholds, and establish patterns for alert routing, suppression, and escalation across operations, sales, and technology stakeholders
• Establish engineering excellence standards including CI/CD on EKS, observability of the observability platform itself (OpenTelemetry instrumentation, SLOs, error budgets), and production readiness reviews for new features
• Collaborate with domain SMEs and product partners to translate incident-response and impact-analysis workflows into platform capabilities, ensuring the application meaningfully reduces mean-time-to-detect and mean-time-to-resolve for client-impacting events