Distinguished Engineer - SaaS Architecture
First seen by Alion on Oct 26, 2026.
Company Overview :
AutoRABIT is an enterprise platform for Salesforce DevSecOps that enables organizations to manage AI-accelerated Salesforce development with greater security, governance, visibility, and control.
Its integrated product suite supports the complete Salesforce DevSecOps lifecycle through AutoRABIT ARM for CI/CD and release management, CodeScan for static code analysis and application security, Vault for data backup and recovery, and Guard for security posture management.
The platform helps enterprises automate deployments, improve code quality, protect critical Salesforce data, monitor access risks, and strengthen compliance.
Purpose-built for complex enterprise Salesforce environments, AutoRABIT helps development teams increase productivity, accelerate delivery, and innovate without compromising security or reliability.
Its metadata-aware capabilities, scalable platform, flexible hosting options, and integrations provide organizations with the structure and control required to manage Salesforce changes across teams, environments, and global operations.
Headquartered in San Francisco, California, AutoRABIT serves customers worldwide and offers employees the opportunity to contribute to products at the intersection of Salesforce, DevSecOps, security, governance, and AI-enabled development.
Job Role :
Provide technical leadership across AutoRABIT products and shared platform capabilities. Combine exceptional hands-on engineering with a strong view of customer needs, product differentiation and long-term technical direction. Your mandate is to improve the company's ability to build products customers trust and choose, and to translate that direction into working software.
Key Responsibilities :
1. Company-level product direction :
- Work with Product, the CTO, VP of Engineering and customer-facing leaders to identify the technical capabilities that matter most to customer value and product differentiation.
- Use customer evidence and market understanding to shape investment options, build-versus-buy decisions and long-term platform direction.
2. Cross-product architecture :
- Guide architecture across product boundaries, shared services and integrations.
- Simplify dependencies, clarify interfaces and reduce systemic risks.
- Define staged modernisation plans that protect existing customers while enabling future capabilities.
- Establish decision principles with accountable product and engineering owners.
3. Hands-on execution :
- Personally design and implement critical components, reference solutions and technically demanding capabilities.
- Lead complex initiatives through validation and rollout.
- Resolve the highest-impact systemic engineering problems without becoming the default owner of every difficult implementation task.
4. Production AI leadership :
- Guide reliable AI-enabled capabilities and engineering practices.
- Establish evaluation methods, tenant and data boundaries, safe tool execution, oversight, observability and cost controls appropriate to each use case.
- Demonstrate where AI improves outcomes and where simpler approaches are preferable.
5. Engineering capability :
- Mentor Principal Engineers, architects and senior technical leaders.
- Establish reusable practices for secure, reliable and maintainable delivery.
- Improve the quality of engineering decisions across teams and build leadership capacity that persists beyond your direct involvement.
6. Executive influence and accountability :
- Communicate technical trade-offs in terms of customer impact, investment and risk.
- Partner with the CTO on enterprise direction and the VP of Engineering on execution.
- Agree decision rights for cross-product initiatives and make outcomes visible to leadership and the teams delivering them.
7. Responsibility to adhere to set internal controls :
Pride of Ownership :
We value pride of ownership. Understand the customer, the product and the market need; form a clear, evidence-based opinion about how the product can improve; and work with others to turn that opinion into results. Strong coding skills and effective use of AI matter, but accountability continues after a feature is shipped. Be willing to challenge assumptions, listen to feedback and change your view when the evidence changes.
Experience & Desired Skills :
Required Skills (Mandatory) :
- 15+ years delivering complex enterprise software, with sustained evidence of company-wide or multi-product technical impact.
- Exceptional hands-on expertise in Java, distributed systems, enterprise APIs and SaaS architecture.
- Experience leading major initiatives across multiple teams and bringing them into reliable production use.
- Demonstrated production AI delivery, including evaluation, security, operational performance and economic trade-offs.
- Deep understanding of cloud platforms such as AWS or Azure, modern delivery practices, containers, Kubernetes and Infrastructure as Code.
- Strong judgment in security, scalability, reliability, observability and architectural modernisation.
- Evidence of influencing product direction and translating technical investments into customer or business outcomes.
- Ability to mentor Principal-level engineers and influence executive decisions without relying on reporting authority.
Preferred Skills (Good to Have) :
- Salesforce ecosystem products, DevSecOps, release orchestration, code analysis, security or data protection.
- Experience with regulated enterprise customers and globally distributed engineering teams.
- Major product achievements or other evidence of external-grade technical impact; patents, publications and open-source contributions are useful but not mandatory.
What success looks like :
- Within 90 days, establish a shared view of the most important cross-product technical opportunities, risks and decision boundaries.
- Within six months, lead agreed milestones for a strategic platform initiative and demonstrate evidence of improved customer, engineering or business outcomes.
- Strengthen Principal-level technical leadership and establish a practical, prioritised investment agenda with Product and Engineering.
Why join AutoRABIT :
You will influence the future of AutoRABIT's platform while remaining an active builder. The opportunity is to create lasting product advantage, simplify difficult engineering problems and grow the people who will deliver the next generation of capabilities.
Experience : 15+ Years
Location : Hyderabad
Work Mode : Hybrid - 3 days Work from Office
Work Timings : IST timings - General Flexible Shift
Skills
Java, Distributed Systems, API, Cloud Services, IAC Terraform, AWS, Azure, Kubernetes, Solution Design, Solution Implementation, SaaS