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IAM -Security Engineer

About the Role:

We are seeking an Identity and Access Management (IAM) Security Engineer with Business Analyst exposure to join our team. In this role, you will combine your technical expertise in IAM security with business analysis skills to strengthen our security landscape and enhance alignment between technology solutions and business objectives. You'll work on designing, implementing, and managing security controls while collaborating across business and technology teams to deliver value-driven solutions.

Key Responsibilities:

Stay updated on IAM security best practices and integrate approved patterns into development operations and continuous delivery/improvement processes.

Design and implement security controls to protect systems while ensuring alignment with business objectives and requirements.

Manage existing IAM and Data Protection platforms and build new capabilities to support internal and external customer needs.

Develop automated security solutions tailored to business requirements, ensuring scalability and efficiency.

Collaborate with operations teams to ensure seamless handoff, proper documentation, and full acceptance of work.

Design and consult on enterprise security control architectures to meet both technical and business goals.

Partner with business and technology teams to maintain and improve the security technology stack, including identity solutions, cloud capabilities, and audit tools.

Conduct detailed business analysis to understand stakeholder needs and translate them into technical security requirements.

Act as a liaison between business units and technology teams to ensure security solutions meet organizational goals.

Minimum Qualifications:

Experience:

Minimum 5+ years of experience in IT Security or security engineering roles, with a focus on IAM practices (e.g., Active Directory, Azure Entra, AWS IAM).

Hands-on experience in Cloud Security environments.

Expertise in developing and implementing security standards, specifications, and procedures.

Experience with security frameworks such as ISO27001 and NIST CSF.

Knowledge of regulatory requirements (e.g., SOX, PCI-DSS).

Proven ability to provide technical security guidance to diverse audiences.

Experience in business analysis, including requirements gathering, stakeholder management, and process improvement.

Strong analytical and problem-solving skills to bridge the gap between business needs and technical solutions.

Other Requirements:

Excellent communication and interpersonal skills to effectively collaborate across business and technical teams.

Flexibility to work in rotational shifts.

Proficiency in documentation and reporting tools to communicate security findings and solutions effectively.

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Requirements:

• Excellent knowledge of Core Java (J2SE) and J2EE technologies.
• Hands-on experience with RESTful services and API design is a must.
• Knowledge of microservices architecture is a must.
• Knowledge of design patterns is a must.
• Strong knowledge of Exception handling and logging mechanism is a must.
• Agile scrum participation experience. Work experience with several agile teams on an application built with microservices and event-based architectures to be deployed in hybrid (on-prem/cloud) environments.
• Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM framework like JPA/Hibernate.
• Experience in managing the Source Code Base through Version Control tools like SVN, GitHub, Bitbucket, etc.

• Inside Sales, Lead Generation Executive
• Email marketing/Cold calling, 1-2 years of experience
• International sales experience preferred
• Relevant IT/ERP sales Experience

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🤝 Collaborative Maestro: Dive into diverse teams, grasp requirements, and translate them into actionable, tech-driven solutions.

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Required Technical Skills:

🚀 C# Mastery: Profound expertise in C# and the encompassing .NET framework.

🌟 ASP.NET Awesomeness: Mastery in ASP.NET Core and the art of RESTful API design.

🏗️ Microservices Maestro: Solid foundation in microservices patterns – Service Discovery, Circuit Breaker, and API Gateway.

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🧠 OOP Prodigy: Robust grasp of Object-Oriented Programming (OOP) principles and established design patterns.

🤖 Tech Toolkit: Hands-on experience with Git, version control procedures, and asynchronous programming.

📡 Event-Driven Extraordinaire: Familiarity with event-driven architectures and tools like RabbitMQ and Kafka.

🔒 Security Sentinel: Adeptness in security protocols, CI/CD pipelines, Azure DevOps, and Agile methodologies.

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#iGuruOpportunity

• Should have experience in both sales (hunting) and Account Management (Farming)
• Should have a track record of managing an account for more than 4-7 years with the growth record
• Should possess excellent oral and written communication skills
• Should be willing to have short trips to US / UK for 4 - 7 times a year
• Should have a very good understanding of Technology services
• Should have managed multiple customers/clients
• Exposure to project/ program management would be desirable

Responsibilities:

• Establish productive, professional relationships with key personnel in assigned accounts.
• Build a deep understanding of the assigned account's business and identify potential opportunities.
• Build the pipeline for the existing and new services.
• Be the Primary contact to the assigned account and ensure the relationship is built at all levels.
• Coordinate the involvement of company resources, including delivery, support functions, and management team to meet the account performance objectives and customer expectations.
• Proactively assess, clarify, and validate customer needs on an ongoing basis.
• Responsible for Customer Satisfaction and work with the counterpart on the delivery side
• Own the account and perform the Account Analytics to be able to create growth
• Make sure the CRM is up to date.
• Ensure Account level metrics exist and run a monthly/quarterly steering committee meeting with the stakeholders on both sides
• Own the contract process with all the accounts
• Ensure the client has the complete visibility of all the Aspire services with periodic updates
• Meets assigned targets for profitability and strategic objectives in assigned accounts.
• Ensure compliance to the Account Management process as defined by the company

Accountabilities and Performance measures:

• Achieves assigned targets in the designated accounts.
• Meets assigned expectations for profitability.
• Ensure the collections are done on time (DSO is a metric)
• Achieves strategic customer objectives defined by company management.
• Completes strategic customer account plans that meet company standards.
• Work timing would be aligned to the respective geography.

Key communication points:

• Within Aspire: Senior Management, Service Line Heads and Managers, Project Managers of the assigned accounts, Marketing teams
• Customer Side: CXO, VPs, Product Managers
• Maintains high customer satisfaction ratings (CSAT) that meet company expectations.