11+ IBM Tivoli Identity Manager Jobs in India

1) Hands on experience with Tivoli - ITM v5.1 troubleshooting.                                  

2) Familiar with Web Sphere Application Services                             

3) Familiar with Active Directory configuration                                   

4) Knowledge on LDAP, SSO.. Etc                              

5) Knowledge on Identity & Access Management process                 

     Qualiification:

• BTECH or Equivalent degree.
• 6 to 8 years of total experience.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

About the Role

The role focuses on IS UAM/Security Solution Architect with expertise in R/3, S/4 HANA, and Fiori Security.

Key Responsibilities

1. Strong hands-on experience in R/3, S4HANA authorization maintenance and roles administration.
2. Role design and maintenance for Fiori application in embedded and hub deployment.
3. Experience in R/3 to S4 Hana migration in the Security domain.
4. BI/BW Analysis authorization maintenance.
5. Experience with Rollouts & Upgrade related activities in R/3 and GRC.
6. Work with CHARM (change request management) in Solman for UAM domain.
7. Understanding GRC Access Control (ARA, ARM, EAM, and BRM) along with SoD concepts & SOX compliance, R/3, S/4 HANA, BW, FIORI authorization maintenance.
8. Understanding ITGC Access controls in SAP landscape.

Behavioral Requirements

1. Ability to work collaboratively within a team supporting co-workers with a strong commitment and determination towards the overall success of the group.
2. Excellent communication skills, strong business experience, and end-user interaction are essential.

Requirements

1. Degree in Engineering with more than 10 years of hands-on implementation experience of Core SAP ECC and S/4 HANA Modules, with GRC knowledge being an added advantage.
2. Experience as a Senior Consultant/Solution architect on large SAP implementations with the ability to analyze requirements and build intuitive solutions.
3. Must have exposure to integration processes between SAP Modules including Interfaces.
4. Experience in SAP Cloud Application (BTP/IAG)/ITGC will be added advantage.
5. Strong analytical and communication skills with the capability to communicate to all levels of the business.

We are seeking a highly skilled and motivated Full Stack Developer with strong proficiency in React.js for front-end development and Java (Spring Boot) for back-end services. The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications, ensuring responsiveness and performance across the stack.

Key Responsibilities:

• Develop and maintain front-end web applications using React.js, Redux, Elastic Serach, TypeScript, HTML5, and CSS3.
• Design and implement RESTful APIs and microservices using Java, Spring Boot, and related frameworks.
• Collaborate with UI/UX designers, product managers, and QA to translate business requirements into technical solutions.
• Optimize applications for maximum speed and scalability.
• Integrate with third-party APIs, services, and databases.
• Write clean, maintainable, and testable code following best practices.
• Conduct code reviews, unit testing, and participate in system design.
• Troubleshoot and debug production issues as needed.
• Participate in Agile/Scrum development lifecycle including sprint planning, stand-ups, and retrospectives.

Primary responsibilities:

•Design, develop AWS IoT/Cloud-based applications using Typescript, Node.Js.

•Work closely with onsite, offshore, and cross functional teams, Product Management, frontend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery.

•Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program.

•Assertive communication and team skills.

•This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.

Experience and Skills Required:

•More than 6 years of overall experience in Software domain.

•At least 3 years of experience in Cloud native applications.

•Solid working knowledge of Typescript, NodeJS.

•Thorough working knowledge in AWS, Lambdas, Microservices etc.,

•Experience in executing CI/CD processes

•Experience in Microservices Architecture

•Good Knowledge on Cloud security & security design control implementation.

•Knowledge of (AWS IoT Core) and In-depth knowledge of AWS cloud native services including Kinesis, DynamoDB, Neptune, Lambda, API Gateway, Timestream , IoT Core, GreenGrass, Aurora, Lambda, etc.

•Great knowledge in Agile/Scrum

Job Description

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, 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

What you need to have: