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Salary
≈ $21k – $53k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff

First seen by Alion on Oct 24, 2026.

Overview
Company
Impact
Profile match
AutoRabit CodeScan™ secures and optimizes your Salesforce DevOps pipeline by providing real-time static code analysis and continuous compliance.

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.

Job Role :

Own the technical direction and delivery outcomes of a major product area or substantial cross-team initiative. This is a hands-on individual contributor role combining deep engineering ability with customer understanding and product judgment.

Key Responsibilities :

- Product and technical direction : Understand customer workflows, adoption barriers and relevant market alternatives. Translate agreed priorities into architecture, delivery increments and measurable outcomes.

- Hands-on delivery : Lead design, coding, review, testing and rollout of complex Java services and platform capabilities.

- Production AI judgment : Develop AI-enabled capabilities where they offer meaningful customer value.

- Reliability and modernisation : Improve performance, scalability, observability, security and tenant isolation.

- Cross-team influence : Align interfaces, dependencies and engineering practices across participating teams.

Tech Stack & Requirements :

- 12+ years delivering enterprise software, with demonstrated Principal-level ownership.

- Deep hands-on Java, Spring Boot, API, microservices and distributed-systems expertise.

- Practical AWS or Azure architecture, containers, Kubernetes, Infrastructure as Code and CI/CD experience.

- Experience delivering AI-enabled software into production.

- Practical familiarity with AI approaches such as LLMs, RAG, agents or MCP.

What success looks like :

- Within 90 days, understand the assigned product area and identify technical constraints.

- Within six months, deliver agreed milestones for a substantial initiative.

- Build durable capability in the team through reusable components and mentoring.

Skills

Java, Spring Boot, Distributed Systems, Microservices Architecture, AWS, AI Integration, API, Backend Architecture

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