Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Provide strategic guidance, direction, and expertise to leadership in implementing innovative, high‑impact business solutions.
Stay current on industry’s best practices and emerging technologies, recommending innovations that improve operations or strengthen the organization’s competitive advantage.
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Lead projects or serve as a peer mentor.
Champion the adoption of AI and agentic systems within observability, including: Intelligent insights and anomaly detection, Guided root‑cause analysis and remediation, Automation to reduce operational toil.
Required Qualifications:
5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
strong Software Engineering experience with modern programming languages.
Experience with Python, JavaScript, Java Spring Boot, ReactJS, Spring Framework, UML, NoSQL and SQL Databases, Kafka pub/sub model, ETL, Microservices Development, Kubernetes.
experience in developing AI-powered products end-to-end Design, develop, and deploy AI/ML models, including data preprocessing, feature engineering, model training, and optimization.
Experience in building and deploying microservices and cross channel restful Application Programming Interface (API)
Experience with cloud platforms like Azure, AWS, or Google Cloud.
Experience in Data analysis, Data Import and Data Feeds
Experience with Cloud, Kubernetes, Prometheus, Open Telemetry, Time Series Metrics, Capacity, Machine Learning, or Synthetics monitoring tools experience
Deep technical understanding of core concepts, memory management, multi-threading, REST based services, React and Spring/Spring Boot.
Strong verbal, written, and interpersonal communication skills
Ability to influence and build relationships with LOB stakeholders, technology CIO leadership, external service providers, and architecture teams
Experience in one or a combination of the following: Capacity Analytics, time series metrics analysis, Telemetry, Monitoring, Observability
Knowledge of Agile methodologies, and product operating model
Knowledge and understanding of application or software security such as: web application penetration testing, secure code review, secure static code analysis
Knowledge and understanding of technology architecture: solutions development
Knowledge and understanding of complex enterprise systems and frameworks including frontends, middleware, services layer, database, backend, and downstream interfaces