• Simulate and test full-scale network architectures using multiple network operating systems via WebUI, back-end, CLI, and shell • Validate that simulation configurations and features align with real-world physical setups • Review architectural designs and requirements for new product features • Design and implement end-to-end tests for new features, including SW GA and maintenance releases • Report and document bugs, assist in reproducing and debugging issues, verify R&D bug fixes, and raise unresolved issues • Perform various system tests (regression, performance, functional, security, etc.) • Design, implement, and maintain automated tests and framework APIs in Python.

• Collaborate with premier clients from the United States and Europe • Contribute to pioneering digital solutions • Transform a legacy platform into a modern cloud-native microservices ecosystem • Build and maintain automated quality processes that support modern software delivery • Work with multiple engineering squads in fast-paced delivery environments

Role Description The Lead DevSecOps and Automation Engineer provides leadership for CI/CD implementation, Infrastructure as Code, cloud automation, security automation, and AI assisted engineering capabilities across the EDP environment. The Lead DevSecOps Engineer enables rapid, secure, and repeatable delivery of AWS and Databricks platform services while reducing operational overhead through automation. Key Responsibilities - Design and maintain enterprise DevSecOps pipelines supporting platform engineering activities. - Develop Infrastructure as Code solutions utilizing Terraform and AWS native automation services. - Automate provisioning of cloud infrastructure, Databricks workspaces, networking, storage, and security controls. - Integrate security scanning, compliance validation, vulnerability management, and policy enforcement into CI/CD pipelines. - Implement AI enabled operational automation and intelligent deployment capabilities. - Support containerized workloads running on Kubernetes and EKS. - Automate deployment of Databricks E2 environments, Unity Catalog configurations, and tenant onboarding processes. Qualifications - Minimum 8 years of DevOps engineering experience. - Minimum 5 years supporting AWS cloud environments. - Expertise with Terraform, GitLab, Jenkins, GitHub, CI/CD platforms, and Infrastructure as Code frameworks. - Experience supporting Kubernetes and containerized application deployments. Preferred Certifications - AWS Certified DevOps Engineer Professional - Terraform Associate - Certified Kubernetes Administrator (CKA) - GitLab Certified Professional Commitment to Diversity eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.

Role Description Senior Software Development Engineers in Test operate as technical leaders within a team, owning validation strategy and system quality for complex systems. This role is responsible for designing and driving comprehensive validation strategies for team-owned systems, ensuring systems behave correctly and reliably under real-world conditions, and elevating testing practices within the team. - Designs and implements comprehensive automated validation strategies for team-owned systems, covering APIs, services, and critical workflows. - Writes clean, scalable, and maintainable test automation code and improves existing frameworks where needed. - Ensures automated validation is fully integrated into CI/CD pipelines to provide fast, reliable feedback. - Owns validation for complex features and workflows, including edge cases, failure scenarios, and performance considerations. - Ensures systems behave predictably under real-world conditions, including peak load and degraded scenarios. - Leads debugging and root cause analysis of complex defects and system issues. - Uses logs, metrics, and traces to deeply understand system behavior and identify reliability gaps. - Drives improvements in system testability by influencing design decisions and collaborating closely with software engineers. - Defines validation strategies that balance coverage, execution speed, and maintainability. - Partners with product managers and product designers to ensure validation aligns with customer workflows and product requirements. - Ensures systems meet expectations for correctness, reliability, performance, and user experience prior to release. - Improves testing practices, automation frameworks, and validation workflows within the team. - Mentors engineers on testing strategies, debugging approaches, and system validation. - Leverages AI-assisted engineering tools to improve validation efficiency, defect detection, and system understanding. - Continuously improves system knowledge, validation approaches, and engineering practices. Qualifications - Deep experience with automated testing (unit, integration, API, and end-to-end testing). - Experience designing and maintaining automated testing frameworks. - Strong understanding of CI/CD pipelines and automated validation workflows. - Solid understanding of web application architecture, RESTful APIs, and backend services. - Experience working with distributed systems or service-oriented architectures. - Strong debugging and root cause analysis skills across complex systems. - Experience with performance testing, reliability testing, or chaos testing. - Proven ability to identify quality risks, evaluate trade-offs, and guide teams toward effective validation strategies. - Demonstrated ability to mentor engineers and improve testing practices across a team. - Familiarity with defining system KPIs and validation metrics. - Experience leveraging AI-assisted tools to improve testing, debugging, and engineering productivity. Requirements - Experience validating complex distributed systems under load and failure scenarios. - Experience working with logs, metrics, and traces to understand system behavior. - Ability to lead technical efforts within a team and influence engineering decisions. - Strong collaboration and communication skills. - Working knowledge of SQL and relational databases. - Experience working with AI-enabled systems or workflows and understanding how to validate them effectively. Benefits - Compensation range: $142k – $178k. - Bonus programs. - 401(k) match. - Employee Stock Purchase Program (ESPP). - HSA and FSA options. - Medical, dental, and vision coverage. - Mental health support for employees and dependents through Lyra Health. - Family planning and women’s health benefits through Carrot. - Gym membership reimbursement and virtual wellness programs (including yoga). - 3 weeks PTO to start, with unlimited PTO after year one. - Education expense reimbursement. - Leadership development programs. - Certified Payments Professional (CPP) certification support.