What is the InMobi family like?   

We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.   

What can we promise?   

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your ML and AI skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.  

Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams.  Food for your soul – free meals all days of the week, gym, or yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.  

What is the team like?  

At InMobi Enterprise team, we are transforming the way finance, sales, marketing, people, and legal functions operate. We’re driving transformative work across Sales, Marketing, People, and Finance with ML and Agentic AI—and we’re looking for passionate innovators to join us!

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, GenAI and modern agentic AI systems with a strong engineering appetite. You will build and deploy intelligent AI/ML systems that will help transform the business process across the core. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

• Lead the experimentation, design and build of agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Support POCs/ Pilots projects to explore and validate innovative technologies and solutions in ML/AI space.

• Build and operate machine learning models on diverse, high-volume data sources for forecasting, classification and prediction.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Design pipelines for data preparation, model training, evaluation, and deployment in collaboration with engineering counterparts.
• Define best practices for monitoring ML model performance using statistical techniques; identifying drifts, failure modes, and improvement opportunities.
• Contribute to ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
• Document designs, development processes, and best practices to promote knowledge sharing and operational efficiency.

What do we expect from you?

We are seeking candidates with deep expertise in ML and hands-on experience building GenAI and Agentic AI systems.

Skillset: AI/ML Engineering, Python, LLM, RAG, Agentic AI, MCP, REST API

You should have experience with:

• Design, build, and deploy building LLM-powered applications, chatbots, and multi-agent systems to improve efficiency, accuracy, and decision-making.
• Implement and customize GenAI and multi-agent systems using AI frameworks such as LangChain, LangGraph, CrewAI, or similar.
• Create, refine, and maintain prompt templates, chains, and workflows.
• Integrate vector databases (MilvusDB, FAISS, Pinecone, Chroma, etc.) for semantic search and memory.
• Classical ML and deep learning techniques across NLP, clustering, and time series.
• Proficient in deploying ML workflows/models in production system. Continuous monitoring, evaluation, and retraining of models to ensure sustained performance. Ensuring model explainability, accuracy, compliance.
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Stay updated with emerging AI/ML technologies and recommend relevant innovations for the finance domain.
• Drive in design reviews, sprint planning, and technical discussions.
• Collaborating effectively with diverse stakeholders, including technical teams and business leaders.
• Adapting to fast-paced environments and evolving priorities with high energy and autonomy.

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

 Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 8+ years of industry experience in ML/Data Science, with deep proficiency in Python and one or more frameworks: PyTorch, TensorFlow, Scikit-learn.
• Solid understanding of ML fundamentals, regression, tree-based models, clustering, and time series.
• Hands-on experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Experience building Agentic frameworks such as LangGraph, AutoGen, CrewAI, n8n or ReACT-style agents.
• Expertise with algorithms in NLP, Time Series, and Deep Learning, applied on real-world datasets.
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Experience with Model Context Protocols (MCPs) — building or integrating MCP tools, servers, or capabilities.
• Comfortable working in cross-functional teams.
• Strong problem-solving and analytical skills with the ability to work in agile environments.
• Good understanding of data pipelines, APIs, and cloud platforms (Azure/GCP/AWS).
• Excellent communication skills with the ability to simplify complex technical concepts.

Product Management at InMobi: We offer an opportunity to have immediate impact with the company and our products. You shall be working at the cutting edge of technology connecting various businesses at InMobi centrally. The work that you shall do will be mission critical for InMobi and is in direct path for success of multiple of core product offerings in InMobi.

Our Product leaders at InMobi own the business strategy behind the product by building subject matter expertise, define its functional requirements aligned to various user personas through PRDs, and drive the launch of product features by owing the management of its development cycle with peer Engineering teams.  We design world-class products within one of the fastest growing companies in this space with a truly global footprint. 

Role: Senior Product Manager – Data & AI Platform for the Central Data Repository & AI Platform Team

As a Senior Product Manager – Data & AI, you will be responsible for driving the roadmap for InMobi’s next-generation data and AI infrastructure — unifying data across products, systems, and business functions while enabling the company to leverage artificial intelligence responsibly and effectively.

You will work across cross-functional teams — including Engineering, Data Science, Analytics, and Business Operations — to deliver scalable platform capabilities that power automation, predictive insights, and operational excellence.

What You’ll Do

1. Product Strategy & Vision

• Define and evolve the product vision and roadmap for InMobi’s enterprise Data & AI Platform — including CDR, Unified Data Warehouse (UDW), and AI/ML enablement capabilities.
• Align platform goals with InMobi’s strategic business and data transformation objectives.
• Identify opportunities to integrate AI across business systems to improve process efficiency, accuracy, and decision intelligence.

2. Platform Ownership

• Own the product lifecycle for core data platform components — from data ingestion and transformation to data governance, modeling, and AI pipeline integration.
• Collaborate with engineering teams to design and deliver scalable, secure, and efficient data and AI systems leveraging technologies such as Databricks, Power BI, and cloud-native data platforms.
• Build foundational capabilities that enable AI experimentation, model deployment, and monitoring at scale.

3. Execution Excellence

• Translate complex business requirements into detailed PRDs, user journeys, and data product specifications.
• Partner closely with data engineering and AI teams to define sprint goals, manage backlogs, and ensure timely delivery.
• Be hands-on with platform interfaces and datasets to validate requirements and drive insights during BAU and transformation cycles.

4. Cross-Functional Collaboration

• Work closely with finance, sales, account management, and product stakeholders to design integrated data and AI solutions that serve cross-enterprise use cases.
• Drive alignment across global teams — product, engineering, data science, and business — ensuring all dependencies are managed effectively.
• Be the single Product POC for Engineering counterparts to define platform logic, edge cases, and implementation details.

5. AI & Analytics Integration

• Partner with AI scientists and ML engineers to prioritize and productize AI use cases that drive measurable business impact.
• Define frameworks for responsible AI adoption, ensuring transparency, explainability, and compliance across systems.
• Enable a self-serve analytics and AI ecosystem for users across InMobi.

What We Expect from You

• Experience: 9+ years overall with 7+ years in Product Management, building and scaling enterprise-level data and AI products.
• Domain Expertise: Strong understanding of data warehousing, data governance, analytics platforms, and AI/ML systems.
• Technical Acumen: Ability to work with large datasets, define data models, and collaborate with engineering teams on architecture and integrations.
• Analytical Mindset: Deep comfort with data-driven decision-making; familiarity with SQL, BI tools, and data pipelines.
• AI Product Fluency: Knowledge of ML lifecycle management, model training/deployment workflows, and AI platform integration.
• Leadership: Experience guiding junior PMs, leading cross-functional planning, and managing competing priorities with clarity.
• Collaboration: Strong stakeholder management skills, with the ability to drive consensus across global, multi-functional teams.
• Execution Bias: A self-starter who thrives in ambiguity, connects dots across domains, and delivers outcomes that move the needle.

Preferred Experience

• Experience in enterprise system transformation programs involving CRM, ERP, and monetization platforms.
• Familiarity with data privacy, security, and ethical AI frameworks.
• Prior experience in digital marketing, ad-tech, or data-driven B2B platforms.

Why Join InMobi

• Drive InMobi’s enterprise-wide data and AI transformation and shape the future of how intelligence powers our products and decisions.
• Collaborate with world-class teams across engineering, AI, and business to deliver high-impact solutions.
• Work in a culture that values ownership, innovation, and continuous learning.
• Be part of an organization consistently recognized as a Great Place to Work and one of the World’s Most Innovative Companies.

Industry

• Marketing & Advertising
• Data & AI Platforms
• Enterprise Software

Job Function

• Product Management – Data & AI Platform
• Enterprise Transformation & Systems Integration

What is the team like?  

Salesforce Engineering is part of the Enterprise Systems solutions. This team helps to create and manage the Salesforce tools/modules/workflow for in-house teams like Sales Manager, Account Managers, Business teams for their day-to-day operations.  

Skillset: Salesforce, Apex (Advanced), Lightning Web Components (LWC), Experience Cloud, CI/CD (Copado/GitHub), Event-Driven Architecture, Performance Optimization.

What do we expect from you?

You will be expected to act as a senior engineer, owning the design, development, and delivery of highly scalable, secure, and performant solutions across our core Salesforce Clouds. You will drive best practices, mentor junior team members, and ensure the technical quality and stability of the platform.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• Minimum of 4+ years of hands-on, end-to-end development experience as a Salesforce Developer/Engineer, primarily focused on the Lightning Platform.

• Expert-level proficiency in Apex (Advanced), LWC, Aura, SOQL/SOSL, and comprehensive knowledge of the Salesforce security and sharing models.

• Proven experience designing and building scalable solutions that effectively address Large Data Volume (LDV) constraints and Governor Limits.

• Strong practical experience with enterprise-level CI/CD pipelines, deployment methodologies, and advanced Git/GitHub version control.

Preferred Qualifications

• Active Salesforce certifications, including Platform Developer II (PD2).

• Demonstrated experience implementing Event-Driven Architecture (CDC, Platform Events) and designing complex, high-volume asynchronous processes (Batch, Queueable).

• Experience with CI/CD tools (e.g., Copado, GitLab, Jenkins) used in a multi-developer, multi-environment Salesforce setting.

• Familiarity with leveraging or integrating Salesforce Einstein capabilities (e.g., Next Best Action) or CRM Analytics.

Responsibilities

Technical Ownership & Design

• Platform Architecture: Design, and lead the development of highly scalable, secure, and performant solutions across Sales Cloud, Service Cloud, and Experience Cloud.

• Apex Mastery: Drive the adoption of advanced Apex architectural patterns and implement/enforce a robust, scalable Frameworks.

• Performance Engineering: Proactively identify, debug, and resolve complex performance bottlenecks in the Apex layer, LWC components, and large data volume (LDV) queries.

• Front-End Development: Lead the development of high-performance, reusable Lightning Web Components (LWC), strategically leveraging the Wire Service and Lightning Data Service (LDS).

• Integration: Lead the design and implementation of secure and resilient inbound/outbound REST integrations, ensuring effective error handling, logging, and retry mechanisms.

• Data Strategy: Deeply understand and implement complex data sharing and visibility models (e.g., territory management) and platform authentication patterns (SSO, OAuth).

Leadership & Quality

• DevOps & Release: Own the end-to-end release process, ensuring high code quality and security through rigorous code reviews, advanced Git/GitHub practices, and efficient use of CI/CD tools.

• Mentorship: Actively mentor and guide junior developers on best practices, code quality standards, and technical design principles to elevate the team's overall capability.

• Strategy: Evaluate business requirements and propose optimal solutions, balancing the use of declarative tools (Salesforce Flow) and custom code to ensure maintainability and long-term scalability.

We are looking for an experienced MSD Consultant with deep knowledge of financial processes, core financial modules in Microsoft Dynamics 365 Finance & Operations (D365 F&O), and a strong focus on Controllership process transformation and driving automation initiatives. This role will also support the Glance transformation program to streamline reporting, automation, and visibility across finance functions.

Job Overview:

Key Responsibilities:

• Own the product roadmap for financial systems and collaborate with finance stakeholders (Controllership, AP, AR, Payroll, GL teams) to gather business requirements and translate them into actionable product features.
• Competencies in more than 5 modules listed below with eagerness to learn the new modules on the Job as per the need.

• Custodian of configuration required for change as part of the BAU organization, with documentation and audit trail.
• Experience with Electronic reporting and Management reporting framework of Microsoft Dynamics 365 to create management reports of the financials is preferred.
• Conduct fit-gap analysis and solution design for any new financial capabilities or customizations needed in the system, working closely with development teams.
• Partner with cross-functional teams (engineering, finance, operations, etc.) to drive end-to-end project delivery, from scoping and development to testing and deployment.
• Lead data migration and system upgrades, ensuring seamless transitions with minimal disruption to financial operations.
• Provide training and support to finance teams to ensure effective use of D365 F&O modules and automated solutions.
• Stay up-to-date on the latest developments and new features within D365 F&O and identify opportunities to leverage these for greater efficiency and automation.
• Required Skills and Qualifications:
• 6+ years of experience in platform product management or consulting with a focus on financial systems, particularly in Microsoft Dynamics 365 Finance & Operations.
• Strong understanding of finance processes, including budgeting, general ledger, AP/AR, Project management and accounting , cash management, and financial close processes.
• Hands-on experience with core financial modules in D365 F&O, including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Project management and Accounting and Bank Management.
• Solid understanding of financial data, reporting, and compliance requirements, with the ability to ensure system alignment with global accounting standards.
• Experience leading fit-gap analysis, solution design, and customization efforts within D365 F&O to meet specific business needs.
• Excellent communication and interpersonal skills, with the ability to work closely with finance, IT, and business leaders to align system solutions with business goals.
• Familiarity with data integration, migration, and managing upgrades or updates within ERP systems.
• Problem-solving mindset, with the ability to analyze financial processes, identify inefficiencies, and propose automated solutions.

Preferred Qualifications:

• Education: CA, MBA Finance, Economics, Engineering or related fields.
• Certifications in Microsoft Dynamics 365 Finance & Operations (e.g., MB-310, MB-300).
• Experience with other automation tools such as Power Automate, Robotic Process Automation (RPA), or other finance-related automation platforms will be an added advantage.
• Familiarity with the broader Microsoft Power Platform (Power BI, PowerApps, etc.) to enhance financial reporting and analytics will be an added advantage.

About the job 

What does the team do? 

This opportunity is part of the evolving cybersecurity group, laser-focused on setting industry benchmarks in managing and guarding against digital risks in a "Cloud Native - DevOps Only" environment. It is a lean, mean, special action group where every cyber sentinel gets the chance to work across domains, has the independence to challenge the status quo, and evolves cyber practices to the next level of maturity. Our core competencies revolve around "Product & Platform Security," "Cloud Native Risk Management," and "Detection & Response."  

What will you be doing?  

• Alert triage - Investigate EDR, Entra, Email & SIEM alerts to identify threats & anomalies
• Perform detailed technical investigation on security incidents, root cause analysis, recommend and mitigate the cyber incident as per the security framework
• Create Incident Response process/runbooks/SOPs, ensure continuous documentation and reporting
• Provide security advisory, develop use cases, support in deployment/integration, and fine-tuning of security platforms with other IT teams
• Collaborate with Corporate IT teams to strengthen InMobi's security posture & reduce attack surface
• Utilize open-source threat intelligence to evaluate threats and analyze their impact in InMobi Environment, and deploy necessary detection/remediation procedures
• Collaborate with other Tech and Non-tech teams to achieve the cybersecurity objectives of InMobi
• Coordinate with stakeholders to understand the infrastructure, products, and business processes to ensure adequate security controls for the organization
• Provide management with deep insight into threats, new threat threat detection methods and technically lead other team members to resolve complex security problems

What is expected of you?  

• Minimum 8 years of experience in Security Operations/Incident Management is required
• Self-motivated, Self-governing individual with a penchant for Cybersecurity and a sharp eye for details
• Strong leadership skills in owning a technical lead on security issues at the Org and driving it towards closure
• Strong technical leadership skills in guiding other team members for optimal outcome
• Strong ability to operate, decide & evolve in ambiguous situations
• Strong interpersonal skills, good team player, excellent written and verbal communication skills
• Strong skills in correlating events, log analysis, networking basics & and cybersecurity fundamentals
• Good knowledge of SOC frameworks - MITRE ATT&CK, NIST, cyber kill chain
• Good understanding of multiple security tools like EDR, Email security, IPS/IDS, Firewall & SIEM
• Hands-on experience in one or more Security tools like McAfee EDR, FireEye, CrowdStrike EDR, Cortex XDR & Microsoft XDR
• Exposure to Cloud Security technologies is desirable
• Exposure in implementing, securing AI technologies is desirable
• Demonstrated good customer service, curiosity to learn & adapt
• GIAC / CySA+ or equivalent certified professional is preferred
• Open to learning new security concepts

Who are we and What do we do?

InMobi is a global provider of enterprise platform for marketers. Our platforms help Marketers reach 1.56 billion unique users through mobile to help them engage, acquire, re-engage, re-market and retain valuable users. InMobi is also India’s first unicorn and one of the only profitable global tech-product companies to emerge out of India.

 At 20+ offices across the globe, InMobi employs over 1000 personnel constituting 25 nationalities. Acclaimed for its culture, InMobi has consecutively featured on the Great Places to Work (GPTW) list, with a consistent hold in the Top 50 position for the past two years. Moreover, these accolades are not just restricted to India, InMobi has also secured a ranking on the GPTW’s 2017 China List, a notable feat for an Indian startup.

InMobi has also regularly featured on world disruptor lists – MIT Technology Review’s 2013 50 Disruptive Companies; Fast Company’s Most Innovative Companies for 2016, 2018; CNBC’s Disruptor 50 list of 2018, here InMobi was selected amongst a pool of more than 980 forward-thinking and ambitiou private companies across the globe, we now share this space with the likes of SpaceX, Airbnb, Uber and so on.

What is the InMobi family like?  

We are an infectious bunch. Be it the way we rise to challenges, the innovative products we create, the dreams we chase or the fun we have at work. We are sure that if you meet us, you will be infected too. Today, we are proud to be the leaders in Mobile advertising and are on an accelerated path of being a leader in enterprise software for marketers. We invite you to free yourself, dream big and chase your passion. We are here today because a few of us did just that.

What can we promise?  

We offer you an opportunity to work on building enterprise platforms that require you to acquire, hone and demonstrate your engineering skills in designing and solving for complex problems, thereby creating software that creates value for our customers in a reliable, scalable, secure, and AI-first manner. At InMobi, you get to work on innovative technologies, work closely with business teams and grow as an overall technology leader.

Modern work environment, flexible schedule, and smart, creative, down-to-earth people. Internal opportunities to move roles and try out bridge assignments with different teams.  Food for your soul – free meals all days of the week, gym, or Yoga class to flex those biceps, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

What is the team like?

We are the CDR team of InMobi. We are building an ever-evolving platform that can transform the raw data into actionable business insights for its consumers, and also integrate with different platforms. This is a platform team that enjoys a unique opportunity to understand and interact with all lines of business within InMobi for their reporting and analytics requirements. The good mix of technologies stack to work with Big Data provides a great opportunity for a developer to excel technically.  

The current platform’s technical stack includes working with components from the Hadoop ecosystem for handling big data, J2EE based frameworks for analytics on the big data, caching focused frameworks for faster responses, closely working with DWH systems like DataBricks, building AirFlow DAGs for data processing/loading. The services are deployed in the GCP Cloud and using the latest deployment platforms & strategies like GKE.

What will you be doing?

• Building InMobi Reporting Platform, dealing with terabytes of data.
• Innovating new / unique ways to solve known and unknown problems.
• Responsible for solving high complexity issues at a system / domain / vertical level.
• Responsible for resolution/ escalations within the area of expertise.
• Using independent judgment in selection of alternative courses of action.

What do we expect from you?  

• BS/MS in Computer Science or equivalent from a premier institute
• 5 years of strong product development experience in building massively large-scale distributed internet systems and products
• Excellent Java/scala and pySpark programming skills and expertise in multi-threading and performance-oriented programming.
• Working knowledge of DataBricks, Delta Lake, Trino, ClickHouse, GCS Storage.
• Good experience in working with Hadoop and Big Data technologies like HDFS, Hive, Lens, Spark and NoSQL systems
• Strong computer fundamentals and problem-solving skills
• Superior organization, communication, interpersonal and leadership skills
• Experience and knowledge of open-source software, frameworks, and broader innovative technologies around server-side development in Java and Python
• Good organization, communication, and interpersonal skills
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace
• Must be a self-starter who can work well with minimal guidance and in fluid environment
• Provide good attention to details
• Must be excited by challenges surrounding the development of highly scalable & distributed system for building audience targeting capabilities
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Decent understanding of the Cloud infrastructure
• Worked on AI/LLM tech like Gemini, OpenAI, Claude, solving critical business facing usecases.

 Nice to have skills

• Experience of online advertising domain
• Experience of working on massively large-scale data systems in production environments
• Experience in leveraging user data for behavioral targeting and ad-relevance
• Experience of Big Data analytics domain
• Experience of building products that are powered by data and insights

About the job  

What does the team do?  

Opportunity is part of the evolving cybersecurity group, which is laser-focused on setting up industry benchmarks in managing & guarding against digital risks in a “Cloud Native- DevOps Only” environment. It is a lean-mean-special action group where every cyber sentinel gets an opportunity to work across domains, has the independence to challenge the status quo & evolve cyber practices to the next level of maturity. Our core competencies revolve around “Product & Platform security”, “Cloud Native Risk Management”, and “Detection & Response”.  

What will you be doing?  

The ideal candidate is familiar with information security industry best practices, modern automation tools, and a Cloud environment. We are looking for someone with a security mindset who "thinks like an attacker". 

• Own the cloud security posture management program (CSPM) and concentrate efforts on continuous improvement of the cloud security configurations aligned to global standards like NIST CSF, ISO 27001, ISO 31000, Cloud Security Alliance, etc. 
• Uplift & evolve detection policies on CSPM to optimize detection capabilities and draft technical standards for remediation on vulnerabilities identified on the cloud stack. 
• Own & manage an integrated vulnerability management dashboard to bring visibility on technical debt. 
• Evolve & mature security stack to support a multi-cloud strategy in a high-density containerised environment. 
• Ability to refer CIS benchmarks & customise hardening standards as per the evolution of the technology stack. 
• Engineer & uplift adoption of Infra as a Code program in pre-provisioning phase & PaaC (Policy as a code) to continuous monitoring of risk configuration changes. 
• Perform risk assessment of proposed and existing cloud architecture, adhering to cloud security policies, procedures, and standards, for recommending technical and administrative controls to mitigate identified risks. 
• Design and develop frameworks and solutions to secure CI/CD pipelines. 
• Test, review, and implement container security on GKE, EKS, or AKS.  
• Work in synergy with infra/product engineering teams in defining baseline security configuration, build continuous visibility for detecting misconfigurations/ vulnerabilities reported by CSPM and mature remediation practices.   
• Provide SME in the analysis, assessment, development, and evaluation of security solutions and architectures to secure applications, operating systems, databases, and networks. 
• Work with cloud vendors and external security researchers to resolve security gaps in InMobi’s Cloud. 
• Develop, monitor, and manage cloud performance & hygiene metrics (KCI, KPI, KRI). 
• Prepare and deliver training and security awareness activities to the Engineering teams. 

What is expected of you?  

• 7 years of experience in the Cloud security domain. 
• Hands-on experience with Azure/AWS/GCP security best practices and services. 
• Strong knowledge of virtualization, Docker, containers, and their orchestration with its challenges. 
• Hands-on knowledge of Kubernetes (PSP, N/W policy, admission controller, etc.) 
• Strong understanding of network concepts and web-related protocols (e.g., TCP/IP, UDP, IPSEC, HTTP, HTTPS, routing protocols, TLS, DDoS detection/prevention). 
• Hands-on experience with the infrastructure automation tools like Terraform. 
• Knowledge of common and industry-standard cloud-native/cloud-friendly authentication mechanisms (OAuth, OpenID, etc). 
• Experience reviewing and understanding cloud architecture and security best practices. 
• Ability to work independently with little direction and/or supervision.  
• Superior communication skills with the ability to ask questions, escalate roadblocks early, and interact effectively at multiple levels in the organization. 
• Keen attention to detail with the ability to correct on the fly and work independently. 
• Curiosity to learn & adopt emerging technologies 
• Knowledge of Security Operations Centre /Incident Management (good to have, not mandatory). 
• Holds Associate or Professional-level Cloud and Kubernetes certification(s), GCP/CKA/CKS preferred. 
• A Degree In Information Systems, Information Technology, Computer Science, or Engineering from an accredited college or university. 

What will you be doing?

• Influence, guide, and reinforce the adoption of standards and processes across the development teams 
• Build and maintain tools for deployment, monitoring and operations 
• Implement solutions for automation of application build, test, deployment, configuration management, and orchestration 
• Implement DevOps pipeline tools in support of vertical team’s needs 
• Present a broad knowledge across various products across the DevOps spectrum 
• Document DevOps processes, procedures, and environments 
• Support Continuous Integration (CI) / Continuous Deployment (CD) and DevOps transformation initiatives under the guidance of the configuration manager/architect. 
• Contribute in developing best practices for infrastructure as code (e.g.: Terraform, Shell scripting), software build tools (Maven, Gradle, etc.) and continuous integration tools (Jenkins, Github Actions, etc.).
• Work with development and Infrastructure Teams in developing building/packaging/deployment processes for new projects. 
• We need a talented, multidisciplinary engineer who’s able to build out a continuous integration process married with a solid release strategy while having the ability to upskill other teams and advise on best practice and strategy to management.  

Roles & Responsibilities:

• Years of Experience: 6-11 years 
• Educational Qualification: B.Tech/MCA. 
• Strong coding skills in at least one programing language
• Ability to build custom tools and scripts to automate tasks and improve efficiency.
• Experience in developing and maintaining CI/CD process for enterprise SaaS and on-prem applications using tools like Git, Jenkins, Maven, Gradle, etc 
• Strong debugging/troubleshooting skills 
• Good communication skills. 
• Ability to train and develop team members.
• Have experience with agile development, design & architect.
• Hands-on knowledge on helm and Kubernetes eco-system. 
• Deal well with ambiguous/undefined problems; ability to think abstractly 

What does the team do? 

Opportunity is part of the evolving cyber security group which is laser focussed on setting up industry benchmarks in managing & guarding against digital risks in a “Cloud Native - DevOps Only” AI environment. It is a lean-mean-special action group where every cyber sentinel gets an opportunity to work across domain, has an independence to challenge status quo & evolve cyber practices to next level of maturity. Our core competencies revolve around “Product & Platform security” , “Cloud Native Risk Management” and “Detection & Response”.

What you will be doing? 

Application Security Testing & DevSecOps

• Perform application security testing across Web, API, Mobile (Android & iOS), TV and Cloud services, including vulnerability assessments and penetration testing.
• Validate and triage security findings through exploit verification and risk‑based severity assessment.
• Own and operate CI/CD security controls, including SAST, DAST, SCA, secrets scanning, and IaC scanning.
• Build and maintain security gates (e.g., Chekmarx or equivalent) with a focus on automation, accuracy, and developer usability.
• Conduct manual security code reviews for APIs and services written in Java, Python, and Node.js.
• Review application designs for authentication, authorization, data protection, and API security best practices.
• Automate security workflows using scripts and APIs to standardize testing and reduce manual effort.
• Partner with engineering teams to drive timely, risk‑appropriate remediation and prevent repeat vulnerabilities.

AI / GenAI Security

• Apply AI Secure SDLC practices for LLM-based features, including prompt design, tool/function usage, and safe integration patterns.
• Assess and mitigate OWASP LLM Top 10 risks.
• Review and maintain secure prompt templates, including system prompt hardening and context scoping.
• Implement practical AI guardrails (output validation, policy checks, basic jailbreak and abuse detection).
• Perform AI red teaming and adversarial testing using tools such as Garak, PyRIT, and custom test cases.
• Review RAG implementations to ensure authorization-aware retrieval, tenant isolation, and reduced data leakage risk.
• Identify and reduce sensitive data exposure risks in embeddings and ingestion pipelines.
• Conduct AI-focused threat modeling using OWASP LLM Top 10, STRIDE, and MITRE ATLAS as reference frameworks.

What We’re Looking For (Required)

• Minimum 7 years of experience in Application Security, Penetration Testing, DevSecOps, or Security Engineering.
• Proven hands-on ability with SAST/DAST/SCA, CI/CD security gates, and vulnerability triage/remediation workflows.
• 2–3 years’ experience building and managing security gating in Checkmarx (or equivalent).
• 2–3 years’ experience performing manual security code review (APIs/services; common languages: Java/Python/Node.js).
• Familiarity with OAuth2, OIDC, JWT, mTLS, API gateways, and service-to-service identity.
• Strong knowledge of OWASP Top 10 Mobile, OWASP Top 10 LLM.
• Strong experience with common testing tools: Burp Suite, OWASP ZAP, SQLMap, Kali (and similar).
• Scripting/automation skills using Python, plus Bash/PowerShell familiarity.
• Working knowledge of Docker/Kubernetes, cloud-native patterns, and secrets management basics.
• Solid communication skills—ability to write clear findings, influence engineering decisions, and partner effectively.

AI-Specific Technical Skills (Expected Competency)

• Hands-on familiarity with LLM integrations and Python AI ecosystems (e.g., LangChain / orchestration frameworks).
• Understanding of RAG pipelines and vector database concepts (e.g., Pinecone, FAISS, Milvus or equivalent).
• Ability to design/validate guardrails (policy allow/deny, jailbreak detection, output validation, safe tool calling).
• Familiarity with AI security testing patterns (prompt injection testing, data leakage testing, agent/tool abuse testing).

Preferred / Nice-to-Have

• Bug bounty / responsible disclosure recognition (Hall of Fame, awards).
• Experience deploying and scaling open-source security tools in production.
• Certifications: OSCP, OSCE, GWAPT, GPEN, CSSLP
• Any AI security-focused training (LLM security, RAG security, adversarial testing, ATLAS/LLM Top 10 programs).

About the job 

What does the team do? 

This opportunity is part of the evolving cybersecurity group, laser-focused on setting industry benchmarks in managing and guarding against digital risks in a "Cloud Native - DevOps Only" environment. It is a lean, mean, special action group where every cyber sentinel gets the chance to work across domains, has the independence to challenge the status quo, and evolves cyber practices to the next level of maturity. Our core competencies revolve around "Product & Platform Security," "Cloud Native Risk Management," and "Detection & Response."  

What will you be doing?  

• Alert triage - Investigate EDR, Entra, Email & SIEM alerts to identify threats & anomalies 
• Perform detailed technical investigation on security incidents, root cause analysis, recommend and mitigate the cyber incident as per the security framework 
• Create Incident Response process/runbooks/SOPs, ensure continuous documentation and reporting 
• Provide security advisory, develop use cases, support in deployment/integration, and fine-tuning of security platforms with other IT teams 
• Collaborate with Corporate IT teams to strengthen InMobi's security posture & reduce attack surface 
• Utilize open-source threat intelligence to evaluate threats and analyze their impact in InMobi Environment, and deploy necessary detection/remediation procedures 
• Collaborate with other Tech and Non-tech teams to achieve the cybersecurity objectives of InMobi 
• Coordinate with stakeholders to understand the infrastructure, products, and business processes to ensure adequate security controls for the organization 

What is expected of you?  

• 3-6 years of experience in Security Operations/Incident Management is required 
• Self-motivated, Self-governing individual with a penchant for Cybersecurity and a sharp eye for details 
• Strong skills in correlating events, log analysis, networking basics & and cybersecurity fundamentals 
• Good knowledge of SOC frameworks - MITRE ATT&CK, NIST, cyber kill chain 
• Good understanding of multiple security tools like EDR, Email security, IPS/IDS, Firewall & SIEM 
• Hands-on experience in one or more Security tools like McAfee EDR, FireEye, CrowdStrike EDR, Cortex XDR & Microsoft XDR 
• Exposure to Cloud Security technologies is desirable 
• Strong ability to operate, decide & evolve in ambiguous situations 
• Strong interpersonal skills, good team player, excellent written and verbal communication skills 
• Demonstrated good customer service, curiosity to learn & adapt 
• GIAC / CEH / CySA+ or equivalent certified professional is preferred 
• Open to learning new security concepts