Senior Software Engineer - Platform

• Build, maintain, and support COTS applications on Unix and Windows platforms that are essential to business operations
• Deploy applications and infrastructure as code using Terraform and similar tools
• Lead and support application migrations to SaaS and cloud-based platforms
• Create, maintain, and improve automation and operational scripts for deployments, backups, monitoring, rollbacks, and routine maintenance
• Build and support CI/CD pipelines across applications, integrations, and platform services
• Monitor platform health and data pipelines, including alerting, capacity planning, performance tuning, and operational readiness
• Plan and execute backups, disaster recovery testing, and restore procedures for supported applications
• Enforce security best practices including secrets management, RBAC, patching, vulnerability remediation, SSO/SAML, and audit logging
• Troubleshoot incidents across the application and integration stack, perform root cause analysis, and produce post-incident documentation
• Maintain runbooks, playbooks, technical documentation, and regular housekeeping procedures
• Drive improvements in system reliability, maintainability, observability, and supportability
• Apply modern engineering practices including Agile, DevSecOps, CI/CD, automated testing, and release governance
• Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
• Develop agentic AI solutions that streamline business processes and enable practical, secure, and responsible use of AI
• Evaluate new tools and technologies through proofs of concept
• Mentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutions

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of professional software engineering, systems engineering, or platform support experience
• Strong experience with scripting and automation using Bash, Python, Java or similar languages
• Hands-on experience with Terraform, GitHub, Linux, Windows Server, and SSO/SAML
• Experience with cloud platforms such as AWS and/or Azure
• Experience building and supporting CI/CD pipelines, deployment automation, testing strategies, and environment promotion
• Experience with Databricks Asset Bundles, GitHub Actions, or similar modern delivery tooling
• Experience deploying and supporting containerized applications using Docker, Kubernetes, or similar technologies
• Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, and Redis
• Strong Linux administration and networking fundamentals
• Solid understanding of security practices including RBAC, secrets management, TLS, patching, and audit controls
• Demonstrated ability to evaluate, design, and implement deployment architectures for complex data and application platforms
• Excellent troubleshooting, communication, and documentation skills

• Experience with BrowserStack
• Experience with OTEL, DataDog, and modern observability practices
• Practical experience with tools such as Databricks Genie, Glean, Cursor, GitHub Copilot, or similar AI-enabled engineering tools
• Familiarity with MCP-style integrations and AI tools that connect to enterprise systems and services
• Experience applying AI and LLM capabilities to operational workflows, analytics, and decision support
• Ability to uncover patterns and insights in structured and semi-structured data and translate them into business actions
• Experience building real-time alerts, operational signals, predictive indicators, or intelligent automation workflows
• Strong ability to frame AI-assisted analytical problems, evaluate model output quality, and apply responsible AI practices across governance, security, privacy, and quality

Relocation benefits