Lead Software Engineer

Responsibilities

• Lead the design and delivery of a scalable activity monitoring solution across React UI and Java/Spring Boot backend services.
• Design and evolve Kafka-based event-driven microservices workflows with retries, delivery semantics, and dead-letter queue patterns.
• Set engineering standards for Spring Boot services, including API design, security, logging, performance, and versioning.
• Translate monitoring and operational requirements into technical designs, delivery plans, and measurable outcomes with product owners and stakeholders.
• Design data access patterns across MySQL and Databricks and maintain performant retrieval strategies.
• Establish AWS deployment strategies including blue/green and canary releases, rollback, and configuration management.
• Own Jenkins CI/CD pipelines covering automated builds, tests, quality gates, release orchestration, and environment promotions.
• Build and maintain performant React interfaces and data-heavy AG Grid experiences.
• Improve production readiness through observability, alerting, incident runbooks, and proactive problem management.
• Lead responsible adoption of enterprise-authorized AI-assisted engineering practices and validation standards.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience, plus 2+ years in a technical lead or lead engineer role.
• Strong hands-on expertise in Java and Spring Boot and working proficiency in Python.
• Experience designing and operating Kafka-based systems, including topics, partitions, consumer groups, ordering, delivery semantics, retries, and dead-letter queues.
• Strong MySQL experience with schema design, indexing, query optimization, transactions, and data modeling.
• Familiarity with NoSQL datastores and search technologies such as Elasticsearch.
• Experience with Databricks and secure, efficient application connectivity for data retrieval.
• Experience leading approved AI-assisted software development tools and validating their outputs for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, security, and compliant engineering practices.
• Experience deploying and operating services on AWS.
• Hands-on React experience, including performance optimization for data-heavy screens and grids such as AG Grid, plus Jenkins CI/CD and modern deployment practices.
• Preferred experience with AWS cloud-native design, IAM, networking, observability, distributed tracing, Docker, Kubernetes, ECS, EKS, Terraform, CloudFormation, security-minded engineering, and monitoring or operational analytics platforms.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
• Comprehensive health care coverage and on-site health and wellness centers.
• Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Equal opportunity employer with reasonable accommodation support and a strong focus on diversity and inclusion.