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Security Engineer
Deliver human-like customer and employee experiences across 35+ channels using an agentic AI platform that automates voice, chat, and email support at scale.
Education Requirements:
Relevant coursework or certifications (e.g., CEH, OSCP, CRTP, CompTIA Security+)
Experience Requirements:
1+ Years of experience in Information Security
Familiarity with vulnerability assessment and penetration testing (VAPT) tools
Basic experience with scripting languages (e.g., Python, Bash)
Knowledge of security practices for AI/ML
Experience or participation in bug bounty programs or CTF competitions
Other Requirements:
Familiarity with VAPT tools such as Burp Suite, Nessus, nmap, Metasploit, etc.
Research and stay updated on the latest cybersecurity threats
Responsibilities:
Assist in monitoring and analyzing security alerts and incidents
Conduct basic VAPT and report findings
Collaborate with cross-functional teams to support security audits
Document incident response procedures
Assist with the deployment and maintenance of security tools
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GTM recruiter
Deliver human-like customer and employee experiences across 35+ channels using an agentic AI platform that automates voice, chat, and email support at scale.
Benefits:
Competitive compensation and benefits
Opportunities for global exposure
Career advancement
Flexible work environment
Collaborative, innovative, and inclusive culture
Experience Requirements:
4-8 years of experience in recruiting
Focus on GTM roles (Sales, Marketing, Customer Success, and Partnerships)
Proven track record of hiring in US and/or international markets
Expertise in sourcing passive candidates
Building diverse talent pipelines
Other Requirements:
Strong interpersonal and communication skills
Familiarity with Applicant Tracking Systems (ATS)
Ability to adapt to changing priorities
Responsibilities:
Manage the full-cycle recruitment process for GTM roles
Identify and engage top talent through various channels
Partner with hiring managers and leadership teams
Deliver an exceptional candidate experience
Track and analyse recruitment metrics
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Software Engineer - CPD
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Freedom to exercise judgement in critical scenarios
Transparent structure
Motivation through ownership of projects
Education Requirements:
Bachelor's or Master's degree in Computer Science or a related field
Experience Requirements:
2-6 years of experience in Design, Development and Debugging
Other Requirements:
Strong C++ development skills
Familiarity with Python and/or Scala
Understanding of distributed systems and multi-threading
Responsibilities:
Design, develop and maintain C++ software applications
Troubleshoot complex software problems
Collaborate with cross-functional teams for new features
Write and maintain technical documentation
Participate in code reviews
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Principal Engineer -Dev Platform(Developer Experience)
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Career growth through mentoring Staff Engineers
Strategic impact at Engineering Director level
AI-powered productivity innovation
Opportunity to drive company-wide technical vision
Inclusive work culture
Experience Requirements:
Typically 18+ years of industry experience in Software Engineering
Focus on Developer Platforms, Infrastructure, or Core Tools
Other Requirements:
Expertise in Go, Java, C/C++, Scala, or Python
Consensus Builder and Cross-Functional Leader
Experience architecting and scaling highly available Developer Platforms
Responsibilities:
Define long-term technical vision for Developer Platform
Pioneer integration of AI/ML to drive company productivity
Drive significant improvements in engineering velocity and quality
Apply domain expertise across CI/CD, Observability, and Cloud Infrastructure
Take end-to-end ownership of complex, cross-cutting projects
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Staff Engineer - Shield
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Work on cutting-edge cloud security infrastructure
Mentorship from distinguished engineers
Meaningful impact on enterprise data protection
Exposure to industry-leading security practices
Positive, learning-focused team culture
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or related technical field
Experience Requirements:
10+ years of software development experience
Significant focus on cloud platforms and infrastructure
Other Requirements:
Proficiency in infrastructure-as-code tools like Terraform
Experience with Kubernetes and Docker
Proficiency in Go, Python, Java, or Rust
Knowledge of zero-trust networking principles
Responsibilities:
Design secure, scalable cloud infrastructure and platform services
Implement secure CI/CD pipelines and infrastructure-as-code
Perform threat modeling for cloud services
Lead secure system design and cloud architecture decisions
Coach and mentor junior team members
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Senior Software Engineer - Shield
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Dedicated mentorship program
Regular learning sessions and tech talks
Encouragement to attend security conferences
Access to latest development tools
Supportive environment for growth
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or related technical field
Experience Requirements:
6-10 years of software development experience
Other Requirements:
Understanding of systems programming and distributed systems
Proficiency in Java, Python, Go, or C++
Passion for security and cryptography
Responsibilities:
Design and write code for high-quality software systems
Identify attack surfaces and harden Rubrik products
Collaborate with product managers and architects on requirements
Review code and design documents for security concerns
Participate in team meetings and knowledge sharing
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Senior Software Engineer - DTA
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Work on "Last Line of Defense" security platform
Opportunity to secure cloud, SaaS, and on-prem data
Education Requirements:
Computer Science graduate
Experience Requirements:
7-11 years of relevant experience in developing enterprise software
1-2+ years leading complex technical projects
Other Requirements:
Expertise in building large-scale distributed systems
Proficiency in Go and Scala
Experience with Linux kernel and kernel debugging
Strong proficiency in C++ and Java
Responsibilities:
Design and deliver Threat Monitoring and Threat Hunt System
Assess Linux system stack reliability and error handling
Diagnose and resolve problems in complex customer environments
Tackle complex technical or ambiguous problems
Work across departments to deliver business-critical applications
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Senior Software Engineer- Cloud Native Protection
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Impactful work on cloud-native protection systems
Mentorship of junior team members
Education Requirements:
Bachelor’s/Master’s degree in Computer Science or equivalent
Experience Requirements:
6+ years of experience in building scalable enterprise or cloud software
Other Requirements:
Strong fundamentals in data structures and algorithms
Proficiency in Java, Go, or Python
Hands-on experience with AWS, Azure, or GCP
Experience with Kubernetes and Docker
Responsibilities:
Design and deliver cloud-native services for data protection
Build protection for Kubernetes and SaaS applications
Implement cloud-scale APIs and microservices
Optimize performance and reliability of cloud systems
Diagnose and resolve complex cloud and hybrid problems
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Production Engineer/Site Reliability Engineer (Shift Basis)
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Opportunity to drive improvements through automation
Engagement with 24/7 Production Operations team
Experience Requirements:
Practical experience working with production systems
Experience preferably within public cloud infrastructures
Other Requirements:
Understanding of distributed system concepts
Familiarity with Kubernetes
Experience with CloudFormation or Terraform
Proficient with Python programming
Responsibilities:
Join a 24/7 Production Operations team
Oversee staging and production uptime and reliability
Lead incident management and response to outages
Design and develop automation tools for triage
Maintain and update runbooks
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Production Engineer/Site Reliability Engineer (Shift Basis)
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Opportunity to drive improvements through automation
Engagement with 24/7 Production Operations team
Experience Requirements:
Practical experience working with production systems
Experience preferably within public cloud infrastructures
Other Requirements:
Understanding of distributed system concepts
Familiarity with Kubernetes
Experience with CloudFormation or Terraform
Proficient with Python programming
Responsibilities:
Join a 24/7 Production Operations team
Oversee staging and production uptime and reliability
Lead incident management and response to outages
Design and develop automation tools for triage
Maintain and update runbooks
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Senior Engineering Manager - SRE (EST Time Zone)
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Coaching, mentoring, and career development
Impact on mission-critical platform reliability
Education Requirements:
Degree in Computer Science or equivalent field
Experience Requirements:
12+ years of Software Development experience
3+ years in Engineering Management roles
Other Requirements:
Experience hiring and building top talent teams
Ability to work in EST timezone (4:00 PM – 1:00 AM IST)
Track record of communicating with global stakeholders
Responsibilities:
Lead Production Engineering team in EST timezone
Own operational excellence for production environments
Champion metrics-driven culture (MTTA/MTTR)
Foster collaborative mindset with leadership
Plan and manage on-call rotations and escalation models
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Staff Engineer- Cloud Native Protection
Secure and manage autonomous AI agents with real-time monitoring, policy-based governance, and a unique rollback feature to undo destructive agent actions.
Benefits:
Startup culture within a established company
Mentoring and coaching engineers
Education Requirements:
Bachelor’s/Master’s in Computer Science or equivalent
Experience Requirements:
11+ years of experience in building large-scale distributed software
Other Requirements:
Expertise in distributed systems and cloud-native design
Deep expertise in Java, Go, or Python
Experience with Kubernetes, Docker, and microservices
Responsibilities:
Lead design of cloud-native services for backup and recovery
Own end-to-end initiatives from architecture to production
Guide engineers on distributed systems best practices
Evaluate new technologies and frameworks
Troubleshoot complex customer issues in hybrid deployments
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Senior Customer Success Manager-Enterprise Cluster
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
2-6 years of experience in Software/Technical Account Management or Customer Success
Experience in a SaaS environment
Experience in negotiating terms, pricing, and reviewing contracts
Other Requirements:
Strong technical knowledge, particularly in APIs and integrations
Proficiency in maintaining accurate and timely information within CRM databases
Excellent listening and sales skills
Responsibilities:
Possess a solid technical background with a focus on APIs and integrations
Strive to achieve or overachieve monthly and quarterly revenue targets
Collaborate with Sales teams on sales strategies, renewals, and upsell opportunities
Serve as the primary point of contact for clients and managing relationships
Conduct regular check-ins and facilitate Quarterly Business Review (QBR) meetings
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Data Engineer- Service
Reduce false positives and achieve 100% risk coverage for banks and fintechs with an AI-powered compliance platform driven by global community intelligence.
Benefits:
Market competitive salary
Professional development training
Comprehensive health insurance
Flexible working options
Education Requirements:
Bachelor’s degree in Computer Science, Data Science, or a related technical field
Experience Requirements:
Minimum 3-5 years of experience in data engineering
Other Requirements:
Experience with Apache Kafka, NiFi, Hadoop, Spark, Hive
Hands-on experience with AWS (preferred) or GCP
Strong knowledge of Python or Pyspark or Java
Responsibilities:
Configure data pipelines for initial and delta loads
Maintain data ingestion workflows (real-time and batch)
Validate incoming data for accuracy and integrity
Optimize data flows to reduce latency
Document data integration processes and troubleshooting
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Product Manager
Reduce false positives and achieve 100% risk coverage for banks and fintechs with an AI-powered compliance platform driven by global community intelligence.
Benefits:
Market competitive salary
Comprehensive medical insurance
Dedicated funding for skill development
Hybrid-first approach
Quarterly recognition programme
Education Requirements:
Bachelor’s or Master’s degree in Business, Engineering, Computer Science, or a related field
Experience Requirements:
Minimum 3 years of experience as a Product Manager
Other Requirements:
Fluency in Mandarin and English
Familiarity with Agile methodologies and Scrum processes
Understanding of AML, fraud detection, or AI/ML-driven products
Responsibilities:
Own end-to-end product outcomes
Drive discovery, definition, prioritization, and delivery
Translate regulatory and market signals into product bets
Engage credibly with banks, regulators, and engineering
Shaping AI/ML-powered products
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Associate Director - Growth
Resolve up to 90% of customer queries autonomously with low-latency voice and digital AI agents tailored for large-scale enterprise support and CX workflows.
Benefits:
Work with a fast-growing SaaS company
High-ownership role
Collaborative and growth-oriented culture
Experience Requirements:
5–8 years in Enterprise Sales or customer success within SaaS or Tech
Other Requirements:
Strong client management, communication, and presentation skills
Analytical and data-driven approach
Proven track record in renewals, adoption, and revenue expansion
Interest in CX, automation, and AI-driven SaaS solutions
Responsibilities:
Manage and grow relationships with enterprise clients
Build success plans and track key metrics (NPS, CSAT, adoption)
Collaborate with internal teams to drive feature adoption
Conduct business reviews, workshops, and product demos
Identify and close upsell/cross-sell opportunities
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Analyst - CFO's office (CA Fresher)
Resolve up to 90% of customer queries autonomously with low-latency voice and digital AI agents tailored for large-scale enterprise support and CX workflows.
Education Requirements:
Bachelor’s degree in Finance, Accounting, Economics, or a related field
Experience Requirements:
1–3 years of experience in FP&A, corporate finance, investment banking, or consulting
Other Requirements:
Strong Excel/Google Sheets skills
Familiarity with ERP/BI tools (SAP, Oracle, etc.) is a plus
Good understanding of basic accounting and financial statements
Strong analytical and problem-solving skills
Responsibilities:
Assist in preparing annual budgets and quarterly forecasts
Perform variance analysis for deviation explanations
Build and maintain basic financial models
Track and report on key performance indicators (KPIs)
Partner with Accounting during month-end close
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Sales Development Representative
Resolve up to 90% of customer queries autonomously with low-latency voice and digital AI agents tailored for large-scale enterprise support and CX workflows.
Experience Requirements:
Minimum 2 years of experience in Business development
Other Requirements:
Excellent Spoken English Skills
Admirable written & interpersonal skills
Experience in software companies preferred
Responsibilities:
Identify and contact decision-makers
Coordinate & book appointments for the sales team
Write sales emails
Identify trends & customer needs for pipeline building
Initiate cold calls to potential customer database
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Director- Growth
Resolve up to 90% of customer queries autonomously with low-latency voice and digital AI agents tailored for large-scale enterprise support and CX workflows.
Benefits:
Opportunity to lead growth for a fast-scaling AI platform
High ownership role
Collaboration with senior leadership and cross-functional global teams
Strong career growth opportunities
Competitive compensation and performance-linked rewards
Experience Requirements:
8+ years of experience in enterprise SaaS growth, customer success, or strategic account management
Other Requirements:
Experience managing enterprise stakeholders and complex global accounts
Demonstrated success in driving renewals, expansion, and customer adoption
Data-driven and comfortable using metrics
Effective communication at executive levels
Prior experience in AI-driven SaaS or CX platforms is an advantage
Responsibilities:
Own and grow strategic enterprise accounts
Build and execute growth strategies (upsell/cross-sell)
Lead executive stakeholder engagement and business reviews
Collaborate with Product, Sales, and Delivery teams
Mentor and guide growth-focused teams
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Admin Executive
Resolve up to 90% of customer queries autonomously with low-latency voice and digital AI agents tailored for large-scale enterprise support and CX workflows.
Experience Requirements:
5–6 Years of experience in office administration or facilities management
Other Requirements:
Strong vendor management and coordination skills
Excellent organizational and multitasking abilities
Proficiency in MS Office / Google Workspace
Good communication and interpersonal skills
High ownership mindset with attention to detail
Responsibilities:
Manage day-to-day office administration, facilities, and infrastructure operations
Coordinate with vendors for office supplies, housekeeping, security, travel, and maintenance
Oversee office assets, inventory, and vendor contracts
Support HR and leadership teams with administrative requirements
Handle travel bookings, accommodation, and logistics
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