Senior Software Engineer - Platform
Senior Software Engineer - Platform
Posted today
SENIORITY
Lead
About the role
- 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 AIEvaluate new tools and technologies through proofs of concept
- Mentor junior engineers and collaborate cross-functionally to deliver scalable platform and integration solutions
- Your Skills & Abilities (Required Qualifications):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/SAMLExperience 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 RedisStrong 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
- What Will Give You A Competitive Edge (Preferred Qualifications):Experience with Browser
- StackExperience 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#LI-SB3
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