
Sr. Principal Engineer Software Engineering XIV
Vertiv · Pune, India
- Hardware & Semiconductors
- 10,001+ employees
- Columbus, OH
Mixed hiring record · median 42 days open
All reasons
- 40% of this employer's openings are over 60 days old
In its favour
- Posted today
- Still listed on the employer's own board
JOB DESCRIPTION
T14 – Senior Principal Engineer Software (Architect Role)
JOB SUMMARY & RESPONSIBILITIES
We are seeking a Senior Principal Engineer Software to provide technical and architectural leadership for KVM&S software products and platforms. The role requires deep product knowledge, strong system-level thinking, and the ability to define and guide software architecture across complex product features and modernization initiatives. The candidate will work closely with engineering leadership, product management, development, test/QA, DevOps, and other corporate functions to evolve product capabilities, improve engineering quality, and deliver robust, scalable, secure, and maintainable solutions. The role combines hands-on technical leadership with architecture ownership, technical mentoring, and cross-team execution alignment.
- Own and evolve software architecture and high-level design for assigned KVM&S product areas, including ACS and related management capabilities.
- Apply deep product and domain knowledge to translate product requirements, customer needs, and platform constraints into sustainable technical solutions.
- Lead architecture and design for complex software features, services, APIs, integrations, and modernization initiatives; document key decisions, trade-offs, interfaces, and non-functional requirements.
- Evaluate architectural options with respect to scalability, performance, reliability, security, maintainability, interoperability, and deployment constraints.
- Provide technical direction across development teams, review designs and critical code changes, and establish engineering patterns and best practices.
- Drive cloud-enablement and cloud-related engineering initiatives, including relevant Azure and MP1000 Virtual Appliance considerations, in partnership with platform, infrastructure, and DevOps teams.
- Lead software modernization and technical-debt reduction by assessing legacy components, defining migration/refactoring approaches, and balancing business priorities with long-term product health.
- Work with Development and Test/QA leadership to establish quality strategies, improve testability, resolve systemic defects, and strengthen product reliability.
- Provide technical leadership for complex debugging, root-cause analysis, customer escalations, and cross-component integration issues.
- Mentor and coach engineers and technical leads; promote knowledge sharing, design reviews, and stronger architectural capability across the team.
- Support effective Agile execution by helping establish clear technical scope, identifying dependencies and risks early, and aligning sprint commitments with architecture and delivery priorities.
- Collaborate with Product Management, Support, QA, DevOps, and other corporate functions to communicate product capabilities, clarify requirements, and drive cross-functional decisions.
- Identify opportunities for AI-assisted engineering, automation, developer productivity, and innovation; assess practical use cases and help translate suitable ideas into measurable improvements.
- Contribute to technology roadmaps, architecture standards, technical proposals, proof-of-concepts, and engineering improvement initiatives.
QUALIFICATIONS
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Extensive software engineering experience with strong capability in system design, software architecture, and delivery of complex products.
- 15+ years of industries experience.
- Strong experience with Linux-based software systems and relevant programming/scripting technologies used across the product stack, such as C/C++, Go, Python, and shell scripting.
- Strong experience designing and developing service-based software and APIs, including REST and/or gRPC, and familiarity with asynchronous messaging or distributed-system patterns.
- Experience with software configuration management and collaborative development workflows using Git-based platforms such as GitHub or GitLab.
- Understanding of CI/CD pipelines, automated build and deployment practices, and containerized application environments such as Docker.
- Demonstrated ability to evaluate architecture trade-offs and address non-functional requirements including performance, reliability, security, scalability, and maintainability.
- Strong debugging, root-cause analysis, and problem-solving skills across software and system boundaries.
- Excellent written and verbal communication skills, with the ability to explain technical decisions to engineering teams and cross-functional stakeholders.
- Demonstrated technical leadership, mentoring, design-review, and cross-team collaboration capabilities.
Preferred Qualifications
- Deep product knowledge in access appliances, device-management platforms, ACS, or related KVM&S solutions.
- Experience with cloud architecture and deployment models, preferably Microsoft Azure, and virtual-appliance deployment considerations.
- Experience with software modernization, legacy-system refactoring, platform evolution, and technical-debt management.
- Knowledge of object-oriented design, design patterns, multi-threading, distributed systems, and service-oriented architecture.
- Experience with protocol buffers, databases such as MySQL or PostgreSQL, database schema design, and SQL.
- Knowledge of web/server technologies such as NGINX and network or server-management protocols such as SNMP, SMTP, and TCP/IP.
- Experience partnering with QA, DevOps, Product Management, Support, and other teams to deliver integrated product capabilities.
- Experience with AI-assisted software development, engineering automation, or applying AI/ML concepts to practical engineering workflows.
- Experience leading Agile/Scrum execution, coordinating dependencies, improving delivery predictability, and enabling team members to deliver effectively.
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