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We are seeking a Security Program Manager to effectively drive Privacy & Security Programs in collaboration with cross functional teams. You will partner with engineering leadership, product management and development teams to deliver more secure products.

Roles & Responsibilities:

• Work with multiple stakeholders across various departments such as IT, Engineering, Business, Legal, Finance etc to implement controls defined in policies and processes.
• Manage projects with security and audit requirements with internal and external teams and serve as a liaison among all stakeholders.
• Managing penetration tests and security reviews for core applications and APIs.
• Identify, create and guide on privacy and security requirements considering applicable Data Protection Laws and implement them across software modules developed at Netmeds.
• Brainstorm with engineering teams to figure out how privacy and security controls can be applied to Netmeds tech stack.
• Coordination with Infra Teams and Dev Teams on DB and application hardening, standardization of server images / containerization.
• Assess vendors' security posture before onboarding them and after they qualify, review their security posture at a set frequency.
• Manage auditors and ensure compliance for ISO 27001 and other data privacy audits.
• Answer questions or resolve issues reported by the external security researchers & bug bounty hunters.
• Investigate privacy breaches.
• Educate employees on data privacy & security.
• Prioritize security requirements based on their severity of impact and product roadmap.
• Maintain a balance of security and business values across the organisation.

 Required Skills:

• Web Application Security, Mobile Application Security, Web Application Firewall, DAST, SAST, Cloud Security (AWS), Docker Security, Manual Penetration Testing.
• Good hands-on experience in handling tools such as vulnerability scanners, Burp suite, patch management, web filtering & WAF.

• Familiar with cloud hosting technologies (ex. AWS, Azure). Understanding of IAM, RBAC, NACLs, and KMS.

• Experience in Log Management, Security Event Correlation, SIEM.
• Must have strong interpersonal skills and should be able to communicate complex ideas seamlessly in written and verbal communication.

Good to Have Skills:

• Online Fraud Prevention.
• Bug Bounty experience.
• Security Operations Center (SOC) management.
• Experience with Amazon AWS services (EC2, S3, VPC, RDS, Cloud watch).
• Experience / Knowledge on tools like Fortify and Nessus.
• Experience in handling logging tools on docker container images (ex. Fluentd).

Job Title : Red Hat PAM Developer

Experience Required :

• Relevant Experience : 4+ Years
• Total Experience : Up to 8 Years

No. of Positions : 4

Work Locations : Hyderabad / Bangalore / Mumbai / Pune / Gurgaon / Chennai

Work Mode : Hybrid

Work Timings : 1:00 PM to 10:00 PM IST

Interview Mode : Virtual

Interview Rounds : 2

Mandatory Skills :

• Excellent communication skills – must be comfortable in client-facing roles
• Red Hat Process Automation Manager (PAM)
• JBPM (Java Business Process Management)
• BPMN 2.0 (Business Process Model and Notation) – low-code platform
• DMN (Decision Model and Notation) – business processes and rules
• Spring Boot
• JavaScript

Good-to-Have Skills :

• Red Hat Fuse
• Apache Kafka
• Apache Camel

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

A very challenging role with opportunities to work on new technologies and application. Only those who challenge themselves and ever willing to learn

Key Responsibilities:

• Must be proficient in Angular V18 and have working knowledge of React.js.
• Candidate should have good exposure in developing modern web applications.
• Strong proficiency in JavaScript / TypeScript, HTML5, CSS3, and Angular Material.
• Good knowledge of integrating external REST APIs for application integration.
• Good understanding of AJAX, JavaScript DOM manipulation, and Responsive Design.
• Proven debugging and troubleshooting skills.
• Designing and developing user interfaces using Angular and React best practices.
• Experience with Git version control.
• Extensive experience with Angular framework, its best practices, and commonly used modules.
• Ability to maintain clean, scalable, and consistent project dependencies.
• Build reusable, testable, and efficient code.
• Work on bug fixes and improve application performance.
• Optimize applications for maximum speed and scalability.
• Exposure to rapid AI development and prototyping tools such as Replit, Lovable, or similar AI-assisted development platforms.

Key Skills

• Angular
• React.js
• JavaScript / TypeScript
• HTML5
• CSS3
• Angular Material
• REST API Integration
• Git
• AI Prototyping Tools (Replit, Lovable, etc.)

IT Project Manager – Team Lead 

About the position:- 

Responsibilities as a Project Manager:

• Stakeholder management, Budget management.
• · Merck specific Processes for project execution.
• Like Risk, info class, IT security etc.
• · Client communication and updates.
• · Daily monitoring and follow-up with development, testing, implementation teams for status update.
• · Project planning, estimation and scheduling the task/assignment for team. · Single point of contact for any other teams.
• · Close monitoring of allocation and utilization.
• · Status reporting to LT and stakeholders. ·
• Responsible for testing and releases. Coding standard and Documentation for project.
• · Responsible for Change and Risk management for the project.

Job Summary:

We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution.

Key Responsibilities:

• Data Integration & ETL Development
• Develop data ingestion, transformation, and deduplication pipelines.
• Standardize, cleanse, and validate large-scale customer data.
• Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing.
• Master Data Management (CMDM) Configuration
• Implement unification & deduplication logic for a single customer view.
• Develop and manage data masking & encryption for security compliance.
• API & CI360 Integration
• Integrate CMDM with SAS CI360 for seamless campaign execution.
• Ensure API connectivity and data flow across platforms.
• Testing & Deployment
• Conduct Unit, Integration, and UAT Testing.
• Deploy CMDM solutions to production and provide knowledge transfer.

Key Skills Required:

• SAS Data Integration Studio (SAS DI Studio)
• Design, develop, and maintain Campaign Management  Data Mart  (CMDM)
• Data Management (SAS Base, SQL, Data Cleansing)
• SAS ESP, GaussDB, and API Integration
• Data Governance (RBAC, GDPR, PII Compliance)
• Data Masking & Encryption Techniques

We are looking "Associate" for Reputed Client @ Chennai Permanent Role.

Experience: 0 - 2 Yrs

Responsibilities:

• Handle up to two (2) Chat concurrent chats or one voice interaction(s) in an efficient or effective manner.

• Provide friendly and efficient service via chat or voice support to our customers regarding 

  - Order Status Queries

  - Promotional Assistance

  - Product Information

  - Site & App Navigation & Troubleshooting

  - Problem with Orders Received Queries

• Maintain a strong customer service focus – “Active communication” skills with ability to empathize with the customer and prioritize customer needs.

• Accurately log all handled chats and calls in the appropriate tools, as outlined in our case management process.

• Consistently achieve metric goals proactively and independently with minimal direction and support.

• Stay up to date with and follow on-going process, product, and policy changes.

• Ensure the privacy and security of Client and Sutherland information

• Build a culture of open and honest communication by offering and being open to receiving feedback.

• Promote the culture, values, and mission of Shutterfly and Sutherland and act as a messenger to brand and community.

Requirements:

• Excellent command of the English Language and communication skills

• Ability to type 35-40 words per minute

• Competently multi-task in a fast-paced environment

• Enjoys challenging learning experiences, views failures as a learning opportunity, flourishes in unfamiliar territory, and is a relentless learner.

• Ability to actively listen, understand and summarize with clarity and simplicity.

• Ability to build rapport and relate well to diverse global customers. Use tact to mediate high-tension situations.

• Must be available for a regular schedule of 40 hours a week, one that spans weekends and holidays, as our customers need us. Shifts may include evening or early morning hours.

• Ability to handle conflict, maintain composure, and be a settling influence in stressful situations.

• Genuinely care about people and are eager and ready to help under any circumstances.

• Can communicate with clarity, style, compassion, and purpose.

• Technical aptitude and the ability to pick up new technology quickly. 

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.