Software Development Manager

Responsibilities Lead, mentor, and grow a high‑performing team of software and data engineers Partner with product, analytics, and platform teams to translate business requirements into scalable technical solutions Drive hiring, onboarding, performance management, and career development for a growing engineering organization Design and operate cloud‑native data architectures on AWS Leverage services such as EKS, S3, RDS/Aurora PostgreSQL, and Terraform for repeatable, auditable deployments Manage cost optimization, security, and performance across cloud data workloads in partnership with platform engineering teams Containerize data workloads on Amazon EKS Define standards for deploying and operating data services on Kubernetes, including autoscaling, resource governance, and CI/CD integration Champion observability practices, including logging, monitoring, and alerting across data services Develop data‑centric APIs and operate data services at scale Architect and guide the development of low‑latency, reliable APIs that serve downstream consumers Establish data quality frameworks, including validation, anomaly detection, and monitoring across critical data products Drive adoption and evolution of the Databricks platform Cluster management, governance, and optimization of Spark workloads Adopt dbt as the standard transformation layer and establish modeling, testing, and documentation standards Orchestrate data pipelines with Apache Airflow Ensure pipelines are reliable, maintainable, and aligned with SLA expectations Execute effective software development methodologies and continuous improvement initiatives Own velocity, quality, and reliability metrics and recognize that they are complementary and mutually reinforcing Resolve root causes of systemic issues across technology, process, and team dynamics Contribute to product roadmaps by balancing near‑term business impact with long‑term platform health and scalability Collaborate with product, analytics, and platform teams to define data strategy and translate business objectives into scalable technical solutions Integrate AI coding agents into engineering workflows Fluent and opinionated use of AI agents, continuously raising the bar on how they are used and overseeing quality of agent‑produced code Qualifications ~7+ years of software engineering experience, with 3+ years leading and mentoring engineering teams Bachelor’s degree in information technology, computer science, or a related field Strong experience designing and operating cloud‑native data platforms on AWS, including Kubernetes‑based workloads and API services Deep technical knowledge of modern data stacks, including Databricks, dbt, Airflow, relational databases, and SQL performance optimization Systems‑engineering mindset, understanding end‑to‑end data flows and driving improvements across ingestion, processing, and serving layers Track record of delivering commitments, balancing speed, quality, and long‑term maintainability Excellent communication skills and ability to influence product, engineering, and business stakeholders Continuous learning mentality, regularly evaluating new tools and technologies to improve engineering effectiveness and data capabilities Benefits Base salary range: New York $240,519‑$384,830, Seattle $226,893‑$363,029 Individual annual performance bonus and Capital profitability bonus Retirement plan with 15% company contribution Competitive health benefits, flexible work options, 2‑for‑1 matching charitable donations, and annual grants to support personal interests and non‑profit causes We are an equal‑opportunity employer and strongly support a culture of inclusion and diversity. All qualified applicants will receive consideration for employment in a workforce free of discrimination based on race, color, religion, gender identity, sexual orientation, gender, age, or a protected status under applicable law. We also provide accommodations for individuals experiencing a disability to apply. #J-18808-Ljbffr 504 CGCG-US CG Companies Global-US