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About the Programme 

Developing an enterprise AI platform focused on financial compliance and intelligence.  

Role Overview 

We are looking for a strong Data Engineer to own the data foundation of the platform. Every model, every AI output, and every compliance decision the system makes depends on data arriving reliably, completely, and on time. You will design and build the ingestion pipelines from all source systems into the data platform, own the pipeline monitoring infrastructure, and work closely with internal IT and operations teams to extract data from complex enterprise source 

systems.  

Key Responsibilities 

Data Discovery & Audit 

• Conduct a thorough data audit with internal IT and operations teams — map every data 

source needed for the platform, assess what already exists on the data platform, and identify gaps. 

• Document data sources, schemas, update frequencies, and quality issues for all relevant datasets  

• Raise data gaps and quality risks to the Solutions Architect  

Pipeline Design & Build 

• Design and build ingestion pipelines from all source systems — ERP, government portals, supplier portals, and banking feeds — into the data platform. 

• Design pipelines for both batch and real-time ingestion patterns 

• Ensure pipelines are idempotent, resumable, and handle source system failures gracefully without data loss or duplication. 

Data Quality & Reliability 

• Build pipeline monitoring and alerting so data failures are caught and flagged before they corrupt model training or inference. 

• Define and implement data quality checks at the point of ingestion — schema validation, completeness checks, and anomaly detection on incoming data volumes. 

• Maintain clear data lineage so the team always knows where a data point came from and when it was last updated. 

Collaboration & Handoff 

• Work closely with internal IT and automation team who hold institutional knowledge of the source systems — this is not a solo exercise. 

• Hand off clean, well-documented datasets to the ML Engineers and LLM Engineer for model training and knowledge base building. 

• Support the MLOps Engineer in ensuring production pipelines are stable and monitored post-deployment. 

Required Qualifications 

Education 

•B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field. 

Experience 

• 5+ years of data engineering experience with at least 2 years working on production pipelines at enterprise scale. 

• Demonstrated experience building pipelines from complex enterprise source systems — ERP or equivalent. 

• Experience building both batch and real-time / streaming ingestion pipelines. 

Technical Skills 

• Languages: Python and PySpark; SQL proficiency essential. 

• Data Platform: Databricks and Delta Lake — must have hands-on production experience. 

• Pipeline Orchestration: Apache Airflow, Databricks Workflows, or equivalent. 

• Streaming: Kafka, Spark Structured Streaming, or equivalent for real-time ingestion patterns. 

• ERP Integration: Experience extracting data from SAP or equivalent large ERP systems strongly preferred. 

• API Integration: REST API consumption for government portal or third-party data feeds. 

• Data Quality: Experience with data quality frameworks — Great Expectations or equivalent. 

• Observability: Pipeline monitoring, alerting, and data lineage tooling. 

Preferred Qualifications 

• Familiarity with SAP data models  

• Prior experience with government API ecosystems — GSTN, ICEGATE, or similar. 

• Experience building pipelines that feed ML model training workflows. 

• Exposure to Unity Catalog or similar data catalogue and governance tools. 

• Prior work in fintech, compliance, or tax technology environments. 

Senior DevOps Engineer

AWS Infrastructure, Kubernetes & Production Operations

📍 Mumbai (On-site) | Full-time | 5-8 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior DevOps Engineer for a dedicated client engagement building an AI platform that turns a written prompt into a working, deployed web application.

The platform runs entirely on our own Kubernetes on AWS in Mumbai: multiple clusters, self-hosted Kafka, PostgreSQL, Redis and a complete observability stack, with untrusted AI-generated code executing inside isolated sandboxes.

This role owns that infrastructure end to end.

The mandatory requirement is hands-on production ownership of self-managed Kubernetes and self-hosted stateful services.

This is not a managed-services role: almost nothing here is a click in a console, and there is no platform team above you to escalate to.

You will pair daily with the Tech Architect who owns the architecture, and you own its execution, which covers clusters, networking, pipelines, observability, isolation, and the monthly cloud bill as a number you can explain line by line.

The role carries a deliberate path into LLM infrastructure over the first year, and we are saying so up front because we want someone who wants that direction.

A typical week includes rehearsing a cluster upgrade in a lower environment, tracing an unexplained cost line to its source, tuning autoscaling so non-production shuts down cleanly overnight, and hardening the boundary that keeps AI-generated code away from everything else.

Responsibilities:

Kubernetes Platform Ownership

Own multiple EKS clusters separated by trust boundary, covering platform services, messaging, sandboxed build environments, and hosting for customers' published applications.

Node pools, taints and tolerations, resource requests versus limits, pod disruption budgets, and the scheduling decisions that determine whether a cluster is efficient or merely large.

Plan and execute version upgrades without customer-visible downtime.

Infrastructure as Code

Everything in Terraform, with no console changes that are not in code.

Build reusable cluster modules rather than copies.

Keep state and reality in sync, and treat drift as a defect.

CI/CD and Release Engineering

Own the GitHub Actions pipelines and self-hosted runners: OIDC-based AWS authentication with no stored credentials, image builds, and rollouts across development, QA and UAT.

Move manifest templating from scripted substitution to Kustomize or Helm.

Make a rollback as routine as a deploy.

Network Architecture and Workload Isolation

VPC and subnet design, ingress through load balancers and service mesh, and eBPF-based network policy.

The platform runs code we did not write, so the isolation boundary is a primary deliverable: default-deny egress, kernel-level sandboxing for untrusted workloads, no platform credentials inside tenant pods, and one project per pod with nothing shared between customers.

Observability

Operate a self-hosted stack of Prometheus, Grafana, Loki, Tempo, OpenTelemetry and Alertmanager.

Build alerts engineers trust rather than mute.

Know what belongs in a metric, a log and a trace, and keep metric cardinality under control as tenant count grows.

Autoscaling and Capacity

Node autoscaling with Karpenter, and workload autoscaling on the signal that actually matters, which is queue depth or a schedule rather than CPU wherever CPU misleads.

Implement scale-to-zero across non-production and warm-pool patterns where cold starts are unacceptable.

Size capacity from measurement, not assumption.

Cost Operations

Own the cloud bill as an engineering artifact.

Attribute spend per cluster and per environment, right-size against real utilisation, apply Spot where interruption is safe and never where it is not, and investigate any line you cannot explain.

Instance family selection is a cost decision: match the family to the resource that binds first.

Self-Hosted Stateful Services

Operate Kafka, PostgreSQL and Redis in-cluster, covering persistence, replication, failover, upgrades, and backups you have actually restored from.

Rehearse the restore and record how long it took.

Security Posture

IAM and workload identity, migration away from static credentials, secret management, web application firewall rules, and closing the gaps you find.

Credential rotation and least privilege are ongoing work, not a one-time project.

AI Infrastructure (Growth Path)

Within the first year, take on the infrastructure serving AI workloads: multi-provider LLM gateway and routing, token and cost attribution, rate-limit-aware capacity planning, LLM tracing with Langfuse, vector databases such as pgvector and Qdrant, and self-hosted embedding models including GPU nodes on Kubernetes.

This is inference operations, not model training.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on Production Ownership of Self-Managed Kubernetes (Mandatory)

Must have personally operated a production Kubernetes estate with operational responsibility including oncall, incident response, and upgrade ownership.

You understand why a cluster ends up over-provisioned and how to fix it.

Managed-platform-only experience, or Kubernetes limited to deploying into a cluster someone else runs, does not qualify.

5+ Years of Overall Engineering Experience

With at least 3 years in DevOps, SRE, or platform engineering.

This is not an ML science role.

A strong infrastructure background with genuine appetite for AI infrastructure is exactly the profile we want.

Proven Ability to Learn an Unfamiliar Technology to Production Depth

We are hiring for trajectory as much as for current tooling, so this carries real weight.

Be ready to walk us through something you picked up from scratch and then owned in production: what you got wrong in the first attempt, how you found out, and what you would do differently.

A candidate with a shorter tool list and a strong record of learning will be preferred over a longer list learned only at the surface.

Self-Hosted Stateful Services in Production

One or more of Kafka, PostgreSQL, Redis, or Elasticsearch operated by you, not by a managed service.

Backups, restores, failover, and version upgrades.

This matters more than any other line here, because almost everything we run, we run ourselves.

Infrastructure as Code Depth

Terraform in anger, including modules, state management, and recovering from drift.

Docker and image optimisation.

AWS at Depth

EKS, EC2, VPC, IAM, S3, RDS or Aurora, and load balancing.

You can read a bill and explain where the money went.

Networking Depth

VPC and subnet design, NAT and egress paths, load balancer behaviour, DNS, TLS, and Kubernetes networking.

Able to reason about address exhaustion and routing limits before they are hit rather than after.

Observability Depth

Production experience with Prometheus, Grafana, and a log or trace backend.

Comfortable instrumenting with OpenTelemetry.

Able to define alerts that are actionable and to resist the cardinality that makes a metrics system collapse.

CI/CD and Deployment Automation

Strong with GitHub Actions or GitLab CI, including self-hosted runners and short-lived cloud credentials.

Experience making deploys and rollbacks safe and routine.

Cost Management for Cloud Infrastructure

Demonstrated ownership of a cloud bill: right-sizing, reserved capacity or savings plans, Spot strategy, and tracing an anomaly to its cause.

Reliability Engineering

Comfortable defining SLOs and being accountable for them.

Experience with graceful shutdown, connection draining, disruption budgets, and long-lived connections such as WebSockets that autoscaling can otherwise sever.

Nice to Have:

• arm64 and Graviton estates
• eBPF networking with Cilium
• container runtime isolation such as gVisor, Kata, or Firecracker
• Kafka operations including partition and consumer-group management
• service mesh with Istio
• GPU workloads on Kubernetes
• hands-on familiarity with LLM observability tooling such as Langfuse or LangSmith
• India data-protection and residency requirements under the DPDP Act
• AWS certifications

End to end implementation of a B2B system. The role requires working with the clients who have been onboarded and see through the implementation of the system. Familiarity with python based frameworks like Frappe is desirable but not mandatory.

Job Description – Motion Graphic Designer

About Digichefs

Digichefs is a boutique digital marketing company focused on performance-led creative campaigns. Since 2015, the company has combined technology, creative communication, and strategic execution to help brands achieve their marketing and business objectives.

Position

Motion Graphic Designer

Experience

Minimum 1 Year

Job Responsibilities

• Create visually compelling motion graphics for digital campaigns, social media, and brand videos.
• Develop fresh creative concepts, storyboards, and animations aligned with the brand's tone and communication.
• Animate typography, icons, illustrations, and other visual elements with strong attention to detail.
• Work on motion graphics, video editing, basic VFX, and 3D elements.
• Collaborate closely with the creative, copy, and strategy teams to deliver high-quality creative outputs.
• Maintain brand consistency across all visual content.
• Manage multiple projects while ensuring timely delivery.
• Stay updated with the latest design trends, tools, and technologies.

Requirements

• Minimum 1 year of professional experience in motion graphic design.
• Strong creative flair, versatility, originality, and conceptual/visual ability.
• A strong and demonstrable motion graphics portfolio.
• Ability to communicate, interact, and present creative ideas effectively.
• Up-to-date knowledge of industry-leading design and motion graphics software.
• Strong proficiency across different aspects of design.
• Good understanding of visual storytelling and animation principles.
• Professional approach toward timelines, costs, and deadlines.

What We're Looking For

A creative and detail-oriented Motion Graphic Designer who can transform ideas into engaging visual content and work effectively with a fast-paced digital marketing team.

Location: As per company requirement

Experience: 1+ Year

Role: Motion Graphic Designer

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a QA Engineer to own testing across the full platform. In a compliance context, a software defect is not just a technical issue — it carries real financial and regulatory consequences. You will be involved from the earliest stages of development, defining acceptance criteria, building test frameworks, and ensuring that every component of the system meets the accuracy and reliability standards required before it goes near a production compliance workflow.

Key Responsibilities

Test Strategy & Planning

•       Develop and own the overall test strategy for the platform, covering all layers — data pipelines, ML models, APIs, application services, and frontend interfaces.

•       Work with the Product Manager to define acceptance criteria for every user story before development begins, not after.

•       Define accuracy and reliability thresholds for each ML model in scope — what performance levels are required before a model is considered production-ready.

•       Maintain a living test plan that evolves with the product as new use cases are added.

Functional & Business Logic Testing

•       Translate compliance rules and business logic into structured, executable test cases.

•       Work closely with the subject matter experts to identify edge cases and exception scenarios that automated tests must cover.

•       Validate that AI outputs — channel routing decisions, classification recommendations, and generated responses — are correct against defined compliance ground truth.

•       Test end-to-end workflows from data ingestion through to user-facing outputs, ensuring correctness at every stage.

ML & AI System Testing

•       Build regression test suites for all deployed models so that retraining does not break existing correct behaviours.

•       Test model outputs for consistency, groundedness, and accuracy using both automated evaluation and structured manual review.

•       Validate fallback mechanisms — ensure the system behaves correctly when model confidence is low or an upstream service is unavailable.

•       Test feedback loop integrity — verify that validator decisions are correctly captured and routed to the model retraining pipeline.

API & Integration Testing

•       Build and maintain API test suites for all integration endpoints — covering correctness, error handling, and edge cases.

•       Perform load and performance testing on real-time inference endpoints to validate behaviour under expected production volumes.

•       Test all third-party and government portal integrations against documented API contracts, including failure and retry scenarios.

User Acceptance & Production Readiness

•       Coordinate and facilitate user acceptance testing with the RIL compliance and assurance teams.

•       Produce a formal production readiness assessment before each deployment, documenting what has been tested, what passed, and any known residual risks.

•       Monitor for defects in production and manage the defect lifecycle through to resolution.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       4+ years of QA engineering experience with at least 2 years testing AI, ML, or data-heavy systems in production.

•       Experience writing and maintaining automated test frameworks, not just manual testing.

•       Demonstrated ability to translate complex business rules into structured test cases.

Technical Skills

•       Test Automation: Pytest, Selenium, Playwright, or equivalent for backend and frontend automation.

•       API Testing: Postman, REST-assured, or equivalent; experience with contract testing.

•       Performance Testing: Locust, JMeter, or equivalent for load and stress testing.

•       ML Testing: Experience validating ML model outputs, building evaluation datasets, and running regression suites against retrained models.

•       Data Testing: Experience validating data pipeline outputs — schema checks, completeness, and consistency.

•       Languages: Python for test scripting and automation.

•       CI Integration: Experience integrating test suites into CI/CD pipelines for automated test execution.

Preferred Qualifications

•       Prior experience testing compliance, fintech, or legal technology systems where business logic accuracy is critical.

•       Familiarity with LLM evaluation frameworks — RAGAS, TruLens, or equivalent.

•       Experience with exploratory testing techniques for AI systems where outputs are probabilistic.

•       Prior exposure to regulated environments where formal sign-off and test documentation are required.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence.

Role Overview

We are looking for a Backend Engineer to own the integration layer of the platform. You will build the APIs and services that connect AI outputs back into operational workflows, integrate with government portals and external data sources, and ensure that the system interacts reliably with RIL’s existing infrastructure. This role requires equal measures of technical rigour and pragmatism to deliver reliably within a fast-moving build timeline.

Key Responsibilities

Integration Mapping & Design

•       Work with the Solutions Architect to map every integration touchpoint — ERP workflow interfaces, government portals, supplier portals, and banking feeds.

•       Understand the latency requirements for each integration and design accordingly — real-time endpoints and batch integrations have fundamentally different design constraints.

•       Design robust fallback mechanisms for every integration — if the AI model is unavailable or low-confidence, the system must degrade gracefully without blocking operational workflows.

Real-Time API Development

•       Design and implement the API layer that connects the AI inference layer to operational systems — clean contracts, versioned endpoints, and clear error responses.

•       Ensure all real-time integrations are built with resilience patterns — circuit breakers, retry logic, timeouts, and graceful degradation under load.

Government Portal & External Integrations

•       Build integrations with government portal APIs for inward supply data, vendor return filing status, and notice data where available via official channels.

•       Build the integration with the customs data portal

•       Manage the specific constraints of government API ecosystems — rate limits, authentication flows, schema changes, and reliability issues that differ significantly from commercial APIs.

Monitoring & Production Stability

•       Build API monitoring and alerting covering latency, error rates, and upstream availability so integration failures are caught before they affect the compliance team.

•       Work with the MLOps Engineer to ensure model inference endpoints are stable and performant enough for the real-time integration to depend on.

•       Maintain clear API documentation so the Full Stack Engineer and other squad members can consume integrations without dependency.

Required Qualifications

Education

•       B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•       5+ years of backend engineering experience with a focus on API design and enterprise system integration.

•       Proven experience building and maintaining production-grade integrations with complex or legacy enterprise systems.

•       Experience with real-time, latency-sensitive API development in an operational context.

Technical Skills

•       Languages: Python (primary); working knowledge of at least one of Java, Go, or Node.js.

•       API Design: REST API design principles, versioning, authentication (OAuth 2.0, API keys, mTLS), and contract-first development.

•       Resilience Patterns: Circuit breakers, retry logic, rate limiting, bulkheads, and graceful degradation.

•       ERP Integration: Experience integrating with SAP or equivalent large ERP systems — BAPIs, RFC calls, or event-driven extraction patterns strongly preferred.

•       Async & Messaging: Kafka, RabbitMQ, or equivalent for event-driven integration patterns.

•       Containerisation: Docker and Kubernetes for deploying and managing API services.

•       Observability: API monitoring, distributed tracing (Jaeger, Zipkin, or equivalent), and structured logging.

Preferred Qualifications

•       Prior experience with government API ecosystems — GSTN, ICEGATE, or similar; understanding of their specific constraints and reliability characteristics.

•       Experience building integrations that serve ML model inference endpoints in a production setting.

•       Familiarity with SAP integration patterns — SAP BTP, OData services, or SAP API Hub.

•       Prior work in fintech, compliance, legal technology, or similarly regulated environments.

•       Experience with API gateway tooling — Kong, AWS API Gateway, or equivalent.

About the Programme

Developing an enterprise AI platform focused on financial compliance and intelligence

Role Overview

We are looking for a Full Stack Engineer to own both the application layer and the user-facing interfaces of the platform. You will build the backend services that power core workflows — case management, exception handling, and feedback loops — as well as the interfaces through which the compliance and assurance teams interact with the system. You are comfortable owning both layers and moving fluidly between them.

Key Responsibilities

Application Backend

•  Design and build the core application services powering the platform — exception case management, workflow state tracking, audit logging, and user action recording.

•  Build the feedback mechanism that captures validator decisions and overrides and routes them back to the AI layer for model improvement

•  Own the data models for all application-layer entities — exception cases, workflow states, user actions, and decision history.

•  Build and maintain the API endpoints consumed by the frontend, with clear contracts, versioning, and error handling.

•  Implement role-based access control across the application — different user types within the compliance and assurance teams require different levels of access and visibility.

•  Build notification and alerting services — surfacing deadline-sensitive items and pending exceptions to the right users at the right time.

•  Ensure all application services maintain a complete audit trail, given the compliance context in which the platform operates.

Frontend & User Interfaces

•  Build the workflow interfaces used by the compliance and assurance teams — exception queues, validation screens, dashboards, and status views.

•  Surface AI outputs — confidence scores, historical context, and recommendations — in a way that is clear and actionable for non-technical users.

• Conduct working sessions with the compliance team to validate usability and incorporate feedback before deployment.

•  Maintain a consistent, functional UI across all modules of the platform.

Quality & Production Readiness

•  Write unit and integration tests for both frontend and backend components.

•  Ensure the application layer is production-ready — monitored, observable, and stable under expected load.

Required Qualifications

Education

•  B.E. / B.Tech / M.Tech in Computer Science, Information Technology, or a related field.

Experience

•   4+ years of full stack engineering experience with ownership of both frontend and backend layers in production.

• Experience building internal enterprise workflow tools or operational dashboards.

• Comfortable being the sole owner of the full stack without dedicated frontend or backend partners.

Technical Skills

•  Frontend: React or Vue.js;

•  Backend: Python or Node.js for API and service development.

•  Databases: PostgreSQL or equivalent relational database; basic familiarity with NoSQL.

•  API Design: RESTful API design and consumption; experience working against well-defined API contracts.

•  Testing: Unit and integration testing frameworks for both frontend and backend.

•  Containerisation: Docker; basic Kubernetes familiarity.

•   Version Control: Git-based workflows, code review practices.

Preferred Qualifications

•  Experience building applications that consume or display ML or AI model outputs.

•  Prior work on compliance, operations, or workflow management tools in an enterprise environment.

•  Familiarity with data visualisation libraries for building dashboards and exception reports.

•  Exposure to accessibility and usability best practices for internal tooling.

Strong Azure Databricks Engineer / Senior Data Engineer Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3

Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4

Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5

Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6

Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7

Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8

Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Strong MDM Tester (Master Data Management / Data Validation / SQL Testing) Profile

2

Mandatory (Experience 1) – Must have minimum 4+ years of experience in MDM Testing, Data Testing, Database Testing, ETL Testing, or Data Quality Testing.

3

Mandatory (Experience 2) – Must have hands-on experience testing Master Data Management (MDM) systems, including validation of Customer, Product, Vendor, Material, or other master data domains.

4

Mandatory (Experience 3) – Strong hands-on experience in SQL, including writing complex queries for data validation, reconciliation, and backend database testing.

5

Mandatory (Experience 4) – Must have experience performing data migration testing, data integration testing, and end-to-end validation across multiple source and target systems.

6

Mandatory (Experience 5) – Good understanding of Data Governance, Data Quality, Data Cleansing, Duplicate Management, Matching & Survivorship Rules, and master data validation processes.

7

Mandatory (Experience 6) – Must have experience working with ETL/Data Integration tools or validating data flows between enterprise applications.

8

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2–4 weeks.

9

Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

10

Preferred (Platform) – Exposure to Informatica MDM, SAP MDG, Reltio, Semarchy, IBM InfoSphere MDM, Stibo, or similar MDM platforms.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Ecotheta is seeking dynamic B2B sales professionals to join our team . In this role, you will have to deal with sales pertaining to holistic environmental compliance solutions, engaging with key stakeholders to quantify their challenges and drive accountability through our innovative solutions.

At Ecotheta, we are committed to simplifying the complexities of environmental obligations of industries,Our mission is to deliver verified data that supports essential reporting requirements, ensuring our clients can focus on their growth without the burden of never-ending and ever evolving compliances. Sectors of interest being Cement, Textiles, Petroleum, Iron and Steel, Paper and pulp.

If you have a strong background in enterprise sales with experience in above industrial sectors and are excited about making a meaningful impact in the sustainability sector, we invite you to review the job details and apply if you are interested.

Social Media Analyst

Company: KAnalytics

Location: Goregaon West, Mumbai, Maharashtra

Work Mode: Work from Office

Employment Type: Full-Time

Experience: 2–3 Years

Work Schedule: 6 Days Working | 1 Rotational Weekly Off

Shift: Rotational Shifts | 9-Hour Shift

Joining: Immediate Joiners Preferred

About the Role

KAnalytics is looking for a Social Media Analyst with 2–3 years of experience in social media listening, media monitoring, and content analysis.

The role involves monitoring online conversations, analysing sentiment and trends, identifying emerging narratives, and preparing insights to understand brand and public perception across social media platforms.

Key Responsibilities

• Monitor and analyse social media conversations across Instagram, X (Twitter), and Facebook.
• Conduct sentiment analysis across positive, negative, and neutral conversations.
• Identify important conversations, emerging trends, narratives, and issues.
• Analyse brand perception and public sentiment across online platforms.
• Perform social media listening and content analysis.
• Identify meaningful patterns and insights from social media conversations.
• Prepare clear and concise analytical reports.
• Present findings and insights to internal stakeholders when required.
• Track relevant online conversations and highlight significant developments.

Requirements

• 2–3 years of experience in Social Media Listening, Social Media Analysis, Media Monitoring, Digital Intelligence, or a related analytical role.
• Strong analytical and observational skills.
• Good understanding of social media platforms and online conversations.
• Ability to analyse large volumes of content and identify relevant insights.
• Good written and verbal communication skills.
• Strong attention to detail.
• Experience with social listening or media monitoring tools will be an advantage.
• This is an analytical role focused on monitoring and insights, not a social media marketing role.

Work Details

Location: Goregaon West, Mumbai

Work Mode: Work from Office

Working Days: 6 days per week

Weekly Off: 1 rotational weekly off

Shift: Rotational shifts

Shift Duration: 9 hours

Joining: Immediate joiners preferred

Preferred Candidates: Mumbai-based candidates

Compensation

Salary: ₹20,000 – ₹30,000 per month, depending on experience, skills, and suitability for the role.

How to Apply

Interested candidates can apply through Indeed with their updated resume.

Candidates may also share their resume at:

jobs(at)kanalytics(dot)com

Please mention your current CTC, expected CTC, and notice period along with your application.

Royce Jones

Sr. HR Recruiter

KAnalytics

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

We are looking for an experienced Application Developer to design, develop, enhance, and maintain cloud-native applications on AWS. The ideal candidate should have strong experience in modern frontend development using Next.js/Express.js and TypeScript, backend development using Python, and serverless application development on AWS.

The role involves:

• Developing and maintaining frontend applications using Next.js, React, and TypeScript.
• Developing backend services using Python and serverless AWS technologies.
• Designing and implementing AWS Lambda functions.
• Developing workflows using AWS Step Functions.
• Designing and maintaining Amazon AppSync GraphQL schemas and resolvers.
• Implementing multi-tenancy across application services.
• Building reusable, scalable, and responsive frontend components.
• Integrating frontend applications with backend APIs and cloud services.
• Participating in architecture discussions and technical design reviews.
• Debugging production issues and optimizing performance.
• Collaborating with architects, DevOps, data engineering, QA, and business teams.
• Following coding standards, cloud-native best practices, and contributing to documentation and code reviews.

Must Have Skills:

Frontend Development

• Strong JavaScript / TypeScript experience
• Hands-on experience with Next.js / Express.js
• Strong React.js proficiency
• Experience with Redux (or equivalent state management libraries)
• Good knowledge of HTML5, CSS3, and Material UI
• Experience building reusable and responsive frontend components

Backend Development

• Strong Python development experience
• Experience with Python frameworks:
• FastAPI
• Flask
• Experience building RESTful APIs and backend services

AWS & Cloud Development:

Hands-on experience with serverless AWS services including:

• AWS Lambda
• AWS DynamoDB
• AWS Step Functions
• Amazon API Gateway
• Amazon AppSync
• Amazon SQS
• Amazon SNS
• Amazon S3
• Amazon Aurora PostgreSQL
• AWS Glue (Python Shell)
• Amazon Cognito
• Amazon CloudFront

Additionally:

• Experience deploying and maintaining cloud-native applications on AWS

Collaboration

Ability to work effectively with:

• Solution Architects
• DevOps Engineers
• Data Engineers
• QA Teams
• Product Owners
• Clients and Business Stakeholders

Other Qualifications

• Experience with AWS CDK
• Exposure to microservices architecture
• Knowledge of caching, queuing, and application performance optimization
• Exposure to AWS Well-Architected Framework and application security best practices
• Experience working on data-intensive applications
• Experience in effort estimation, documentation, and sprint planning
• Experience building highly scalable and high-performance cloud applications.

Key Responsibilities

• Implement enhancements and features for business users to support audit data corrections through the web application.
• Develop new features across web applications and internal systems, including frontend enhancements, forms, and dynamic content.
• Manage databases to ensure data integrity and validation.
• Maintain database schemas and data linkages across systems.
• Perform unit testing of implemented solutions.
• Execute UI enhancements and navigation updates.
• Maintain existing code, contribute to documentation, and collaborate with cross-functional teams. 

**Hiring: Senior Human Resources Executive**

**Location:** Ghatkopar, Mumbai

**Experience:** 4+ Years

**Department:** Human Resources

**Qualification:** Any Graduate

We are looking for an experienced **Senior HR Executive** to manage and support day-to-day HR operations, recruitment, payroll coordination, employee engagement, and statutory compliance.

### Key Responsibilities

• Manage end-to-end recruitment including job postings, screening, interview coordination, and offer rollouts

• Coordinate employee onboarding, induction, documentation, and orientation

• Maintain accurate employee records, contracts, and HR documentation

• Manage attendance, leave, and absenteeism tracking

• Support monthly payroll processing, salary calculations, deductions, and payroll coordination with Finance

• Handle employee queries related to salary, benefits, policies, and grievances

• Support performance appraisals, goal setting, and probation reviews

• Coordinate employee engagement, rewards, and recognition initiatives

• Ensure compliance with PF, ESIC, gratuity, labour laws, and statutory requirements

• Support learning and development and training coordination

• Prepare and analyze HR reports and dashboards for management

• Coordinate with various departments for smooth HR operations

• Assist with HR audits and compliance reporting

### Required Skills

• Strong HR Operations experience

• Recruitment and Talent Acquisition

• Payroll and Attendance Management

• HRMS and MS Office proficiency

• Knowledge of PF, ESIC, and Gratuity

• Employee Relations and Grievance Handling

• HR Documentation and Compliance

• Good communication and interpersonal skills

• Strong organizational and problem-solving abilities

• Ability to handle confidential employee information

### Candidate Profile

• Graduate in HR, Business Administration, or a related discipline preferred

• 4+ years of relevant HR experience

• Candidates with hands-on experience in HR Operations, Payroll, and Recruitment will be preferred

• Should be comfortable working in a fast-paced environment and handling multiple HR responsibilities

**Job Location:** Ghatkopar, Mumbai

Job Summary

We are looking for a Fashion Consultant to provide personalized styling and fashion advice to customers, understand their requirements, and drive sales by recommending suitable products and looks.

Key Responsibilities

Assist customers in selecting outfits based on their preferences, body type, occasion, and budget.

Provide personalized fashion and styling consultations.

Understand current fashion trends and product collections.

Achieve individual and store sales targets.

Build strong relationships with customers and ensure a premium shopping experience.

Suggest outfit combinations, accessories, and complete looks.

Maintain knowledge of fabrics, fits, colors, and styling techniques.

Handle customer queries and provide excellent after-sales service.

Maintain visual merchandising and presentation standards.

Coordinate with the store/team to ensure smooth day-to-day operations.

Requirements

1–3 years of experience in fashion retail, styling, personal shopping, or luxury retail.

Strong knowledge of fashion trends and styling.

Excellent communication and interpersonal skills.

Customer-oriented with strong sales ability.

Good presentation and grooming.

Ability to understand customer preferences and recommend suitable products.

Qualification in Fashion Design / Fashion Styling / Retail Management is preferred

About EasyEcom

EasyEcom is a multi-product ecommerce operations platform for brands and 3PLs, spanning order and inventory management, warehouse operations, and built-in reconciliation and accounting, the capability that sets us apart from pure WMS platforms. We power 1,800+ brands and 3PLs across 12+ countries, with 455+ integrations, 5B+ orders processed, and $8.1B in GMV flowing through the platform at 99.9% uptime. Customers include Borosil, Relaxo, Swiss Military, and Kimirica, across North America, Europe, MENA, and Southeast Asia. We are backed by IndiaMART, and we are still building fast.

Roles and Responsibilities

● Manage the end-to-end onboarding journey for new clients.

● Understand customer business requirements and configure the platform accordingly.

● Conduct product demonstrations, onboarding sessions(configurations, integrations etc), and user training.

● Guide clients through implementation and ensure timely go-live.

● Resolve client queries and coordinate with the Internal teams whenever required.

● Build strong relationships with clients and ensure a positive onboarding experience.

● Track onboarding milestones and maintain accurate implementation documentation.

● Identify process improvements and share client feedback with internal teams.

● Ensure customers are confident using the platform before transitioning them to the Customer Success team.

● Travel across India as and when required for implementation and client meetings.

Preferred Qualifications

● Bachelor's degree in Business, Engineering, IT, or a related discipline. ● Prior experience with SaaS products, ERP, OMS, WMS, or eCommerce platforms will be an added advantage.

● Knowledge of marketplaces such as Amazon, Flipkart, Myntra, Shopify, or similar ecosystems is a plus.

As the Digital Product Manager, you will be responsible for defining product requirements, managing the product roadmap, coordinating software development, and ensuring the successful delivery of new features and enhancements. In addition, you will own the day-to-day management of the Open Axis website, including content updates, UI improvements, deployments, maintenance, and performance optimization.

You will work closely with business stakeholders, external technology partners, and internal teams to build digital solutions that enhance customer experience and support the company's long-term growth.

Key Responsibilities

Product Strategy & Management

Own and manage the product roadmap in alignment with business objectives and strategic priorities.

Gather, analyze, and document business requirements from internal and external stakeholders.

Translate business requirements into user stories, functional specifications, workflows, and detailed acceptance criteria.

Manage and prioritize the product backlog based on business value and customer needs.

Coordinate feature planning, sprint execution, testing, bug resolution, and production releases.

Conduct User Acceptance Testing (UAT) and ensure all releases meet business and quality standards.

Identify opportunities to improve user experience, operational efficiency, automation, and overall platform performance.

Maintain comprehensive product documentation, workflows, release notes, and functional specifications.

Website & Digital Platform Management

Own the day-to-day maintenance, administration, and continuous improvement of the Open Axis corporate website built using Node.js and React.

Independently implement website content updates, UI enhancements, bug fixes, and minor-to-medium complexity feature improvements.

Monitor website performance, uptime, responsiveness, security, SEO, and overall user experience.

Troubleshoot website issues and ensure minimal downtime through proactive monitoring and timely resolution.

Manage website deployments, version control, backups, hosting infrastructure, SSL certificates, DNS records, and domain administration.

Coordinate with marketing and leadership teams to publish landing pages, announcements, product updates, and new website content.

Ensure the website follows modern SEO practices, accessibility guidelines, performance optimization techniques, and security standards.

Maintain technical documentation for deployments, configurations, updates, and website infrastructure.Technical Coordination & Vendor Management

Serve as the primary point of contact between Open Axis and external technology partners, including Webkul and other vendors.

Coordinate software development activities, feature implementation, bug fixes, testing, and production deployments.

Minimum 4 to 5 years of experience in Product Management, Digital Product Management, Business Analysis, or a similar role.

Proven experience managing web-based products or digital platforms throughout the complete product lifecycle.

Hands-on experience maintaining and supporting websites built using Node.js and React.

Experience working with software development teams and external technology vendors.

Strong experience coordinating website maintenance, deployments, feature releases, bugtracking, and enhancements.

Experience working in Agile environments using tools such as Jira, Confluence, or similar projectmanagement platforms.

Experience troubleshooting and implementing minor-to-medium complexity websiteenhancements independently.

Experience managing website hosting, SSL certificates, DNS records, cloud infrastructure,backups, and production deployments.

Experience with B2B marketplaces, e-commerce, SaaS, logistics, supply chain, or fintechplatforms will be an advantage.

Experience with cloud hosting platforms such as AWS, Azure, DigitalOcean, or similar ispreferred.

Educational Qualifications

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Computer Engineering, or a related technical discipline.

An MBA in Product Management, Technology Management, Operations, Information Systems, or a related field will be an added advantage.

Strong understanding of:

Modern web application architecture

REST APIs

Databases

Software Development Life Cycle (SDLC)

Agile development methodologies

Hands-on experience with Node.js and React is mandatory for this role. Technical Skills

JavaScript (ES6+)

HTML5

CSS3

Git / GitHub

REST APIs

SQL / NoSQL databases

Jira / Confluence

Website deployment and hosting

Cloud platforms (AWS, Azure, DigitalOcean, or similar)

SEO fundamentals and website performance optimization

Core Competencies

Strong business analysis and requirement gathering skills.

Excellent stakeholder and vendor management capabilities.

Strong analytical thinking and problem-solving abilities.

Experience writing user stories, acceptance criteria, and functional specifications.

Excellent communication, documentation, and presentation skills.

Strong understanding of Agile software development practices.

Ability to manage multiple priorities in a fast-paced startup environment.

High ownership mindset with the ability to work independently.

Strong cross-functional collaboration and decision-making skills.

Attention to detail and commitment to delivering high-quality digital products.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Immediate joiner only

Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

Required Skills:

• 8+ years of data engineering experience.

• 5+ years of experience with Microsoft Azure Data Platform technologies.

• 3+ years of hands-on experience with Microsoft Fabric.

• Experience integrating Dynamics 365 and Salesforce environments.

• Experience working with large-scale enterprise datasets (>100M records preferred).

• Design and implement scalable data platforms using Microsoft Fabric.

• Develop and maintain Data Factory pipelines, Dataflows Gen2, Notebooks, and Lakehouse solutions.

• Create and optimize Medallion Architecture (Bronze, Silver, Gold) data models.

• Develop and manage Real-Time Analytics and Event Streaming solutions.

• Implement data governance, security, monitoring, and performance optimization within Fabric.

• Support Customer Insights implementation and customer profile analytics.

• Design and implement Salesforce Sales Cloud and Data Cloud integrations with Microsoft Fabric.

• Develop scalable ingestion frameworks for Salesforce objects and metadata.

• Create unified customer profiles by consolidating Salesforce, Dynamics 365, and external data sources.

• Develop AI-enabled data solutions using Microsoft Fabric AI capabilities, Copilot, Azure OpenAI, and Microsoft AI Services.

• Build AI-driven customer insights, predictive analytics, propensity models, and recommendations.

Description:

Analytical Engineer with strong Data Analyst and Data Modelling expertise required to translate business requirements into structured, analytics-ready datasets. Must have experience in Data Vault 2.0 / dimensional modelling and advanced SQL for data transformation and analysis. Role focuses on data profiling, validation, and delivery of trusted data for reporting and analytics. Experience with Azure/Databricks and enterprise data environments preferred. Strong stakeholder engagement and ability to bridge business and technical data requirements essential.

Must Have Skills

• Data Analysis
• Data Governance
• Data Modeling tool

Nice to Have Skills

• Business writing skills
• Governance, Risk and Controls
• Principles of project management
• Relevant regulatory knowledge
• Relevant software and systems knowledge

Job Title: CA Income Tax Litigation Associate

Location: Bandra West, Mumbai

Employment Type: Full-Time

About the Role

We are looking for a qualified and experienced Chartered Accountant (CA) to join on a Full-time basis, primarily focusing on Direct Taxation, Tax Litigation, and Corporate Advisory. The role involves handling complex tax matters, representing clients before authorities, and providing strategic advisory support on corporate and taxation issues.

Key Responsibilities

1. Direct Taxation

• Handle matters related to Income Tax, including computation, return filing, and assessments
• Review tax positions and ensure compliance with applicable laws and regulations
• Advise on tax planning strategies for individuals and corporates
• Stay updated with amendments in tax laws, circulars, and notifications

2. Tax Litigation

• Manage and represent clients in direct tax litigation matters before tax authorities
• Appear in High court for the appeals
• Draft and review appeals, submissions, replies, and legal documents
• Appear before authorities such as:
• Commissioner of Income Tax (Appeals) [CIT(A)]
• Income Tax Appellate Tribunal (ITAT)
• Handle scrutiny assessments, reassessments, and notices
• Develop litigation strategies and maintain case documentation

3. Corporate Advisory

• Provide advisory services on corporate structuring and tax efficiency
• Assist in transaction advisory including mergers, acquisitions, and restructuring
• Offer opinions on tax implications of business decisions
• Support clients in regulatory and compliance-related matters

Required Skills & Competencies

• Strong knowledge of Direct Tax Laws and Litigation Procedures
• Excellent drafting and representation skills
• Analytical thinking with attention to detail
• Ability to handle complex tax matters independently
• Good communication and client-handling skills
• Strong understanding of corporate and regulatory frameworks

Qualifications & Experience

• Qualified Chartered Accountant (CA)
• 4 years of relevant experience in direct taxation and litigation
• Prior experience in handling appearances before tax authorities preferred
• Exposure to corporate advisory and structuring is an advantage

Description

We are seeking a dynamic and experienced Sales Consultant to join our leading automotive retail team. This role is exclusively open to female candidates who have a minimum of two years of hands-on experience in automobile retail sales. As a Sales Consultant, you will be the face of our dealership, responsible for delivering an exceptional purchasing experience to our customers by understanding their needs and offering suitable vehicle options. Your expertise in the automotive industry and sales acumen will be key in achieving sales targets and fostering long-term customer relationships. You will work in a fast-paced environment that encourages professional growth and provides opportunities to deepen your knowledge of the latest automotive products. If you are passionate about cars and have a proven track record in retail sales, this role offers you a chance to excel in a supportive and female-focused workplace where your skills are valued and rewarded. Join us and be part of a vibrant team dedicated to innovation and customer satisfaction in the automotive retail sector.

​Responsibilities

• Engage with customers to understand their vehicle preferences and requirements effectively.
• Present and demonstrate vehicles, including features, benefits, and pricing to prospective buyers.
• Negotiate sales terms and close deals to achieve or exceed monthly sales targets.
• Maintain up-to-date knowledge of our automotive inventory, promotions, and financing options.
• Provide exceptional customer service before, during, and after vehicle sales to ensure satisfaction and repeat business.
• Collaborate with the marketing team to develop strategies that attract potential customers to the dealership.
• Manage and update customer records and sales reports using dealership CRM software.

Requirements

• Minimum of 2 years experience in automobile retail sales.
• Female candidates only, with a professional and approachable demeanor.
• Strong communication and interpersonal skills to build trust with customers.
• Ability to work in a target-driven environment and achieve sales goals consistently.
• Comprehensive knowledge of automotive products, features, and industry trends.
• Proficiency in using CRM software and basic computer applications.
• High school diploma or equivalent; additional certifications in sales or automotive are a plus.

Strong Enterprise B2B Corporate Sales Leader Profile selling Employee Health Benefits, Wellness or Group Insurance solutions (Domestic, West region)

2

Mandatory (Experience) – Must have 8+ years of B2B sales experience selling to CHROs, HR leaders, Benefits Heads, Total Rewards Team and corporate decision-makers

3

Mandatory (Domain and Company) – Must have 5+ years of experience in enterprise corporate sales selling solutions such as group health insurance, OPD, wellness, preventive health and employee benefits to corporates

4

Mandatory (Hunter and Closer) – Must drive the full enterprise sales cycle end to end, from prospecting and pipeline building through consultative solutioning, negotiation and closure, and close deals personally rather than handing them to the team

5

Mandatory (Network) – Must have a ready network of enterprise and CXO contacts (CHRO, CFO, CEO, CIO, Procurement) they can approach directly to open and close deals

6

Mandatory (Market) – Must have sold into large enterprise and mid-market corporate accounts (GCCs, IT-ITES, manufacturing, BFSI, pharma) in India

7

Mandatory (Leadership) – Must have built and led a sales team of 5+, owning forecasting and pipeline discipline

8

Mandatory (Communication) – Must have elite verbal and written communication, executive presence, storytelling and presentation skills, fluent in English

9

Mandatory (Stability) – Must show 2+ years per organisation with no significant gaps across the most recent 3+ years

10

Mandatory (Company) – Health InsuranceTech, InsuranceTech having Healthcare Insurance, TPAs etc

11

Mandatory (Note) – Must be based in or open to relocating to Mumbai (Andheri); the role owns the West region (Mumbai, Pune, Ahmedabad, not restricted)

12

Preferred (Education) – MBA

Exp – 0-1 years

Working Days – 6 Days 

Location – Navi Mumbai, Mahape

Sales Support

• Assist the sales team in preparing and processing sales orders, quotes, and contracts.

• Coordinate with the logistics team to ensure timely delivery and installation of equipment.

• Maintain accurate records of sales activities, customer interactions, and order status in the CRM

system.

Customer Relationship Management

• Serve as the primary point of contact for customer inquiries, providing timely and accurate

information.

• Follow up with customers to ensure satisfaction and address any issues or concerns.

• Assist in resolving customer complaints and facilitating the return or exchange of equipment as needed.

Administrative Tasks

• Prepare sales reports, presentations, and other documentation as required.

• Schedule and coordinate sales meetings, product demonstrations, and other events.

• Handle incoming and outgoing correspondence, including emails and phone calls.

Sales Data and Reporting

• Monitor sales performance metrics and provide insights to the sales team.

• Assist in the analysis of sales data to identify trends, opportunities, and areas for improvement.

Collaboration

• Work closely with other departments, such as marketing, finance, and operations, to ensure

alignment and support for sales initiatives.

• Provide feedback to the sales team regarding customer needs, market conditions, and competitor activities.

Qualifications

• Bachelor’s degree in Business Administration, Marketing, or a related field (preferred).

• Proven experience in a sales support or coordination role, ideally in an equipment or industrial

sales environment.

• Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).

• Strong organizational and multitasking skills with attention to detail.

• Excellent communication and interpersonal skills.

• Ability to work independently and as part of a team in a fast-paced environment.

• Familiarity with sales processes and equipment industry standards is a plus.

As an Engagement Manager at Quantiphi, you will be a critical bridge between our clients and our delivery teams. You will be responsible for understanding client needs, shaping solutions, and ensuring the successful delivery of professional services engagements. This role requires a blend of technical acumen, client-facing communication, and operational management to drive successful outcomes and foster strong client relationships.

Key Responsibilities

Client Engagement & Requirements Gathering

• Act as the primary point of contact for key stakeholders throughout the engagement lifecycle.
• Lead discovery sessions to thoroughly understand client business challenges, technical requirements, and desired outcomes.
• Translate complex client needs into clear, actionable requirements and user stories.
• Proactively identify opportunities to add value and expand services based on client needs.

Solutioning & Strategy

• Collaborate with technical architects and subject matter experts to develop initial solution approaches and proposals.
• Provide basic solutioning guidance, outlining technical feasibility and potential approaches for Machine Learning, Software Development, and Data Analytics projects.
• Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions.

Engagement Management & Delivery Oversight

• Plan, execute, and oversee professional services engagements from initiation to closure.
• Define project scope, objectives, deliverables, and success criteria in collaboration with clients and internal teams.
• Manage project budgets, and resources effectively, ensuring projects are delivered on time and within scope.
• Proactively identify and mitigate risks, escalating issues as necessary to ensure smooth project progression.

Resource Fulfillment & Operations

• Work closely with talent acquisition and resource management teams to identify, vet, and onboard suitable candidates (BAs, Senior BAs, Developers, Architects etc.) for project roles across Geographies.
• Ensure the right technical skills and experience are matched to client requirements.
• Oversee the operational aspects of resource deployment and team management.

Reporting & Communication

• Establish and maintain robust reporting mechanisms to track project progress, performance metrics, and client satisfaction.
• Provide regular, transparent updates to clients and internal stakeholders on engagement status, risks, and achievements.
• Prepare comprehensive status reports, and post-mortem analyses.

Must Have Skills

• Technical Acumen: Good understanding of Machine Learning, Software Development, and Data Analytics concepts, knowledge of AWS services. Ability to grasp technical details and discuss solutions with both technical and non-technical stakeholders.
• Requirements Gathering & Solutioning: Proven ability to lead requirement gathering sessions, define problem statements, and contribute to basic solution design.
• Engagement Management: Experience in managing professional services engagements, including scope, timeline, budget, and resource management.
• Communication & Client Management: Exceptional verbal and written communication skills. Ability to articulate complex ideas clearly, manage client expectations, and build strong, trusting relationships.
• Reporting & Documentation: Proficient in creating detailed project plans, status reports, business requirement documents, and other project artifacts.
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to develop creative and practical solutions.
• Agile Methodologies: Good understanding and application experience of Agile and Scrum-based development methodologies.

Good to Have Skills

• Experience in other domains (Healthcare / Retail / FSI / Others).
• Experience in a service-based industry.
• Go-getter attitude with a proactive approach to identifying and resolving challenges. 

Strong Senior Solution Architect – Google Cloud (AI / Enterprise Architecture) Profile

2

Mandatory (Experience 1) – Must have minimum 8+ years of experience in Enterprise Solution Architecture, Cloud Architecture, or Solution Consulting, with experience designing enterprise-scale cloud transformation initiatives.

3

Mandatory (Experience 2) – Must have 5+ years hands-on experience designing and delivering Google Cloud-based enterprise solutions, with strong expertise across the Google Cloud ecosystem.

4

Mandatory (Experience 3) – Must have hands-on experience architecting AI/Generative AI solutions using Vertex AI and Gemini Enterprise, including enterprise AI adoption, AI platform design, or AI application architecture.

5

Mandatory (Experience 4) – Strong expertise in BigQuery for enterprise data platforms, analytics architecture, and modern data engineering solutions.

6

Mandatory (Experience 5) – Must have experience designing cloud-native architectures using GKE (Google Kubernetes Engine), Cloud Run, and AlloyDB, with strong understanding of scalability, security, and production deployments.

7

Mandatory (Experience 6) – Must have experience leading enterprise architecture engagements, customer discovery workshops, AI strategy sessions, and translating business requirements into scalable technical solutions.

8

Mandatory (Experience 7) – Proven experience collaborating with Sales, Delivery, Customer Success, and Business Stakeholders, providing technical leadership throughout pre-sales, solution design, and implementation.

9

Mandatory (Certification) – Must hold a valid Google Professional Cloud Architect Certification.

10

Mandatory (Notice Period) – Immediate joiners or candidates who can join within 2 weeks.

Role Overview

As an AI Quality Engineer, you will be the strategic lead for quality within our AI-driven product ecosystem. You will be responsible for validating non-deterministic AI outputs and microservices. You will use tools like Claude Code, Cursor, and Gemini, moving from manual oversight to high-velocity, AI-augmented delivery. You will ensure that our AI products are not only functional but reliable, ethical, and scalable.

Core Responsibilities

• AI-First Test Strategy & Planning: Define and implement the end-to-end test strategy for major AI product areas.
• AI-Augmented Automation: You will adopt Cursor and Claude Code to refactor existing frameworks, develop new frameowrk, migrate legacy framework to modern technologies and automate the creation of test suites.
• Defect Management & Root Cause Analysis: You will perform Root Cause Analysis, submit bugs and ensure their timely resolution.
• Documentation & Reporting: You will document your work and report on quality metrics to stakeholders.

Required Qualifications

• AI Toolchain Mastery: Expert-level experience using AI coding assistants (Claude Code, Cursor) and LLMs (Gemini, GPT-4) to accelerate the SDLC.
• SDLC Experience: Proven track record of product delivery in an Agile environment with a focus on CI/CD (ADO and GitHub Actions).
• Technical Stack: Proficiency in C#, Python or JavaScript and experience with modern testing frameworks (e.g., Selenium, Playwright, Nunit, PyTest).
• Autonomy: Ability to create cases, execute tests manually and automate with minimal oversight.
• Education/Experience: 2-3 years in Quality Engineering with a focus on Web and Mobile Applications testing.

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.

Job Overview:

We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.

The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities:

• Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
• Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
• Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
• Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
• Leverage AWS DMS and SCT for full load and continuous replication migrations.
• Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
• Design and implement secure, highly available database architectures on AWS.
• Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
• Manage S3-based data lakes and metadata using Glue Data Catalog.
• Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
• Implement data validation, reconciliation, and rollback mechanisms.
• Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Must Have:

• 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
• Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
• Hands-on with AWS DMS and SCT for full load and CDC replication.
• Strong experience in database administration (HA, DR, backup/restore, schema conversion).
• Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
• Strong experience with S3-based data lakes and Glue Data Catalog.
• Strong SQL, Python/PySpark, and shell scripting.

Nice to Have:

• Experience with Aurora Global Database and cross-region replication.
• Familiarity with Oracle GoldenGate for real-time replication.
• Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
• Experience with Redshift, Lake Formation, and modern data warehousing.
• Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
• AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
• Experience mentoring teams and driving knowledge transfer sessions.
• Experience with Infrastructure as Code (Terraform / CloudFormation).

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

We are seeking an innovative and experienced Machine Learning Engineer at Architect level with a strong foundation in both traditional data science and modern Generative AI. The ideal candidate will lead the design, development, and deployment of high-impact, data-driven solutions on our Azure cloud infrastructure. You will be responsible for architecting complex systems, including multi-agent platforms and computer vision solutions, optimizing legacy models, and providing technical leadership to cross-functional teams to solve challenging business problems.

Must-Have Skills & Experience:

• Proven experience architecting, developing, and deploying traditional and deep learning solutions at scale, from concept to production.
• Lead end-to-end ML lifecycle including data preparation, feature engineering, model development, validation, deployment, and monitoring.
• Provide technical leadership, mentorship, and architecture-level guidance to project teams.
• Demonstrated expertise in designing and implementing complex multi-agent systems.
• Experience with agentic design patterns such as supervisor-worker and orchestrator-led group chats to automate intricate business processes (e.g., invoice processing, document automation).
• Experience with data augmentation techniques and human-in-the-loop annotation processes for large-scale model training.
• Evaluate and optimize existing models using traditional ML techniques. Proven expertise in traditional ML algorithms (regression, decision trees, SVM, ensemble models, clustering, Random Forest, XGBoost).
• Deep understanding of ML pipeline orchestration and model lifecycle management with production-grade implementation experience.
• Ensure adherence to MLOps best practices and drive implementation on Azure cloud.
• Extensive experience in Azure cloud services including Azure Machine Learning, Azure Data Factory, Blob Storage, Azure DevOps, and Azure Container Apps.
• Leveraged Azure Cognitive Search and Azure OpenAI Service to build scalable and efficient knowledge retrieval systems, enabling real-time semantic search and contextual answer generation.
• Designed and implemented RAG pipelines on Microsoft Azure, integrating large language models (LLMs) with domain-specific knowledge bases to enhance AI-driven information retrieval and response accuracy.
• Experience with evaluation, monitoring and observability frameworks for Agentic workflows.
• Experience designing fault-tolerant systems with robust error handling, fallback mechanisms, and state management for complex, multi-step AI workflows.
• Ability to design and review ML architecture and system integration strategies with hands-on experience in production deployments.
• Certifications in Azure AI Engineer or Azure Solutions Architect.
• Excellent problem-solving, communication, and stakeholder management skills with experience presenting technical solutions to business stakeholders.

Good-to-Have Skills:

• Collaboration skills with data scientists, data engineers, and product stakeholders to convert business requirements into scalable ML models.
• Contributions to open-source projects.

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

Associate Technical Architect / Senior Software Developer – Java, J2EE, Spring Boot, AWS

At Quantiphi, you will leverage your expertise in Java, Spring Boot, and AWS to develop, modernize, and enhance enterprise applications. The role involves supporting Java application modernization initiatives, designing scalable cloud-native solutions, and delivering high-quality software for enterprise customers.

• Experience in Java application modernization, including upgrading legacy applications to newer Java LTS versions (Java 17/21/25), is preferred.
• Must have experience in developing enterprise-level software and web applications using J2EE/Spring Boot.
• Experience in API integration, application deployment, cloud architecture, and application security.
• Well-experienced in working with tools like Git, Maven, JFrog.
• Should have a solid understanding of Object-Oriented Programming (OOP).
• Well-experienced to perform Unit Testing and Integration Testing and have good experience in Agile-based development approach.
• Expertise in developing enterprise-level web applications and REST and SOAP APIs using Microservices, with demonstrable production-scale experience.
• Working knowledge of SQL or NoSQL databases.
• Understand Architecture Requirements and ensure effective design, development, validation, and support activities with strong problem-solving ability.
• Understanding of core AWS services, uses, and basic AWS architecture best practices.
• Exposure to AWS Transform Custom (ATX) or similar automated code modernization tools is an added advantage.
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications.
• Ability to identify key features of AWS services.
• Experience in developing enterprise web applications using Angular, TypeScript, and REST API integration.
• Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development.
• Should contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms.
• Execute strong collaboration and communication skills within distributed project teams, with the ability to prioritize and multitask.

ROLE & RESPONSIBILITIES

• Associate Technical Architect will be responsible for connecting with clients for project briefing, consultation, installation, and close-out reviews.
• Support the design, development, enhancement, and modernization of enterprise Java applications, collaborating with clients and internal teams to deliver high-quality software solutions.
• Help out in managing customer demands to ensure maximum satisfaction and to maintain quality.
• Engage in the negotiation of customer job demands and specifications as regards to resources and infrastructure, and assist in creating comprehensive technical documents.
• Supervise activities between internal and external resources, and facilitate smooth workflow for service delivery.
• Evaluate project data for accuracy, and take the lead in setting project targets and priorities. Give training and mentorship to team members to make them better on the job.
• Be up to date with current field practices to enhance service standards and delivery.
• Review customer technical demands and instructions and assist the internal team and customers to identify the best order for lifts and the most efficient methods of maintaining and using delivered materials.
• Remain knowledgeable about current technology and carry out research to identify new trends that can be used to achieve maximum results.
• Carry out other technical-related duties that may be required. Be abreast of the best coding and architecting practices, ensuring the APIs are robust and easy to maintain, and coordinate with the rest of the team working on different layers of the infrastructure.

NorthStar Technologies is looking for an energetic and ambitious Business Development Executive to join our growing team. This is an excellent opportunity for candidates with strong domestic IT sales experience who are looking to build a career in international B2B sales and work with global clients.

Key Responsibilities

* Drive end-to-end sales for IT Solutions, AI Solutions, ERP, and CRM offerings.

* Generate new business opportunities and manage the complete sales cycle.

* Conduct client meetings, presentations, product demonstrations, and proposal discussions.

* Understand client business requirements and recommend suitable technology solutions.

* Build long-term customer relationships and consistently achieve sales targets.

* Collaborate with internal technical teams to deliver the best customer experience.

Requirements

* 1–4 years of proven B2B IT sales experience.

* Mandatory experience selling IT Solutions, AI Solutions, ERP, CRM, SaaS, or Digital Transformation solutions.

* Excellent verbal and written communication skills.

* Strong presentation, negotiation, and relationship-building skills.

* Good domestic IT sales experience is preferred.

* Candidates will have the opportunity to work with international clients and gain exposure to global sales.

Eligibility Criteria

* Only candidates currently residing in Mumbai should apply.

* No relocation applications will be considered.

* Candidates from pure IT sales backgrounds will be given preference.

Java Technical Lead – Job Description

We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team.

A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

Experience: 10+ years

Location: Bangalore

Job Description:

• Experience in Core Java, Spring Boot.
• Experience in microservices.
• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2.
• Good knowledge of multi-threading.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills in Java.
• Strong interpersonal, communication and analytical skills.
• Should be able to express their design ideas and thoughts.

About Wissen Technology:

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups.

Wissen Technology is a part of Wissen Group and was established in the year 2015.

Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities.

Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies.

The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always "first time right".

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

We're Hiring | Sales Executive

Are you a passionate sales professional looking to build your career in the Waste Management & Environmental Services industry?

We're looking for a dynamic and result-oriented Sales Executive to join our growing team and contribute to creating a cleaner, greener future.

Position: Sales Executive

Location: Wagle Estate, Thane

Experience: 1+ Years in B2B Sales

Qualification: Any Graduate / Postgraduate

CTC: Up to ₹4.50 LPA

Joining: Immediate Preferred

Key Responsibilities

Identify and generate new business opportunities through market research, cold calling, networking, and client visits.

Promote waste management and environmental solutions to corporate and commercial clients.

Build and maintain strong customer relationships to drive repeat business.

Conduct market mapping to identify potential clients and business opportunities.

Prepare proposals, quotations, and service presentations.

Coordinate with internal teams for smooth client onboarding and service delivery.

Maintain an accurate sales pipeline and CRM records.

Achieve monthly and quarterly sales targets.

Preferred Industry Background

Waste Management

Environmental Services

Facility Management

Industrial Services

Recycling

Water Treatment (STP/WTP/ETP)

Industrial B2B Sales

Ideal Candidate

1+ years of B2B sales experience.

Strong communication, presentation, and negotiation skills.

Self-motivated, target-driven, and eager to learn.

Comfortable with field sales and client meetings.

Knowledge of MS Office and CRM tools is an added advantage.

At Quantiphi, you will be a key leader within our Platform Engineering team, responsible for defining and driving the architectural vision for cloud-based solutions. You will lead the design and implementation of robust pipeline infrastructure, orchestrating integration flows among upstream RPA processes, the AR tool backend, and downstream systems. You will work closely with stakeholders, cross-functional teams, and clients to ensure that solutions are scalable, secure, and aligned with business objectives.

Must have skills:

• Strong expertise in designing and architecting scalable, secure, and highly available AWS platforms using services such as API Gateway, Lambda, EC2, ECS/EKS, VPC, IAM, S3, CloudWatch, CloudTrail, ECR, SNS, SQS, EventBridge, Systems Manager (SSM), KMS, and Secrets Manager.
• Proven technical experience in designing and overseeing end-to-end platform integration architectures, orchestrating data and process flows between upstream systems, third-party applications (e.g., ERP systems such as BaaN, SAP, Oracle), internal services, and downstream consumer applications.
• Strong expertise in API architecture, including RESTful APIs, API Gateway, authentication/authorization (OAuth, JWT, API Keys), API lifecycle management, integration patterns, and secure third-party connectivity.
• Extensive experience designing AWS IAM security governance, including IAM Roles, Policies, Cross-Account Access, Permission Boundaries, Service Control Policies (SCPs), and enterprise identity and access management strategies.
• Strong experience designing AWS infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation, or AWS CDK), with reusable platform modules, reference architectures, and standardized deployment frameworks.
• Expertise in designing and implementing enterprise CI/CD and DevSecOps pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline, integrating automated testing, security scanning, and deployment governance.
• Strong knowledge of enterprise networking, including VPC architecture, Transit Gateway, Direct Connect, VPN, Load Balancers, Route 53, DNS, PrivateLink, and hybrid connectivity.
• Experience implementing enterprise monitoring and observability using Amazon CloudWatch, CloudTrail, dashboards, centralized logging, and alerting frameworks to ensure platform reliability and operational excellence.
• Proficiency in automation using Python, Bash, PowerShell, and AWS SDK (Boto3) to streamline platform operations and deployments.
• Excellent technical solution design, stakeholder management, technical leadership, documentation, and mentoring skills, with the ability to drive architecture reviews and establish engineering best practices.

Good to have skills:

• Experience designing enterprise integration platforms using event-driven and microservices architectures.
• Knowledge of AWS Organizations, Control Tower, Landing Zone, governance frameworks, and FinOps best practices.
• Experience with container platforms such as Docker, Kubernetes, Amazon ECS/EKS, and service mesh technologies.
• Familiarity with enterprise observability platforms such as Grafana, Prometheus, Datadog, Splunk, or OpenSearch.
• Experience with enterprise messaging and integration technologies such as Kafka, Amazon MSK, MQ, or EventBridge.
• Knowledge of disaster recovery, business continuity, and high-availability architecture.
• AWS Certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Security Specialty, or Advanced Networking – Specialty.
• Experience working in Agile, DevOps, and Platform Engineering environments.

Job Overview

Apprication Pvt ltd are seeking a proactive, results-driven Business Relationship Manager for a night shift role at our US-based POS software company located in Goregaon East.

Key Responsibilities:

• Onboard referral partners and expand the business network while building strong relationships
• Act as the primary contact, ensuring smooth communication and partner support
• Drive revenue through partner leads, conversions, and engagement strategies
• Monitor performance, resolve issues, and identify opportunities through market insights.

Key Requirements.

• 3–5 years of experience in partnership, business development, or relationship management
• Strong English communication, negotiation, and interpersonal skills
• Proven ability to build relationships and achieve targets
• Self-driven, with the ability to manage multiple partners and analyze performance metrics

Preferred Skills.

• Experience managing referral/affiliate programs, reporting dashboards, and strong stakeholder management skills with Excellent communication.

Job Overview

Apprication Pvt ltd are seeking a proactive, results-driven Business Relationship Manager for a night shift role at our US-based POS software company located in Goregaon East.

Key Responsibilities:

• Onboard referral partners and expand the business network while building strong relationships
• Act as the primary contact, ensuring smooth communication and partner support
• Drive revenue through partner leads, conversions, and engagement strategies
• Monitor performance, resolve issues, and identify opportunities through market insights.

Key Requirements.

• 3–5 years of experience in partnership, business development, or relationship management
• Strong English communication, negotiation, and interpersonal skills
• Proven ability to build relationships and achieve targets
• Self-driven, with the ability to manage multiple partners and analyze performance metrics

Preferred Skills.

• Experience managing referral/affiliate programs, reporting dashboards, and strong stakeholder management skills with Excellent communication.

Job Overview

Apprication Pvt ltd are seeking a proactive, results-driven Business Relationship Manager for a night shift role at our US-based POS software company located in Goregaon East.

Key Responsibilities:

• Onboard referral partners and expand the business network while building strong relationships
• Act as the primary contact, ensuring smooth communication and partner support
• Drive revenue through partner leads, conversions, and engagement strategies
• Monitor performance, resolve issues, and identify opportunities through market insights.

Key Requirements.

• 3–5 years of experience in partnership, business development, or relationship management
• Strong English communication, negotiation, and interpersonal skills
• Proven ability to build relationships and achieve targets
• Self-driven, with the ability to manage multiple partners and analyze performance metrics

Preferred Skills.

• Experience managing referral/affiliate programs, reporting dashboards, and strong stakeholder management skills with Excellent communication.

Job Type: Full-time

Education:

• Bachelor's (Preferred)

Experience:

• International voice process: 1 year (Required)
• Sales: 1 year (Required)

Work Location: In person

Apprication Hiring for BDE -US -Work from office -Goregoan(E)

Candidates need to have a neutral English accent.

Lead generation/ sales experience/ BDE in the US / UK or Australia process is necessary.

2 year of minimum work experience is a must.

Working hours - 10:00 PM -7:00 AM

Min 1 yr of experience in international voice process is a must

For More Details Call or WhatsApp on Seven three zero four one double eight six three six

Job Description:

Apprication Hiring for BDE -US -Work from office -Goregoan(E)

Candidates need to have a neutral English accent.

Lead generation/ sales experience/ BDE in the US / UK or Australia process is necessary.

2 year of minimum work experience is a must.

Working hours - 10:00 PM -7:00 AM

For more details connect on Seven Three Zero Fo

Customer Sales Advisor (Night Shift – US Process)

Location: Goregaon East, Mumbai (Work from Office)

We are looking for a Customer Sales Advisor to connect with US-based retail and restaurant owners, promote our SaaS solutions, online ordering applications, and POS systems, and drive merchant onboarding.

Key Responsibilities:

• Reach out to prospective merchants and generate qualified leads.
• Understand business needs and recommend suitable software solutions.
• Conduct product demonstrations and follow up with prospects.
• Build relationships and assist merchants through the onboarding process.
• Achieve sales and onboarding targets while maintaining CRM records.

Requirements:

• Excellent English communication skills.
• Experience in sales, lead generation, or customer-facing roles preferred.
• Comfortable working night shifts (US business hours).
• Strong sales, negotiation, and relationship-building skills.
• Experience in SaaS, e-commerce, or POS solutions is a plus.

Responsibilities:

MIS (Internal & External)

1. Collate the incoming revenues through all sources namely sales, renewals, supplement sales, Ecommerce sales and keep the revenue data update on a timely basis. 

2. Collate all the expenses and outgoings in an organised manner. 

3. Ensure that all expenses/outgoings are properly supported by invoices and necessary approvals. 

4. Prepare and maintain Profit and Loss (P&L) accounts and analyze financial performance. 

5. Prepare and publish MIS reports for management, founders, investors and other stakeholders to support decision making. 

Payments & Compliances

6. Ensure timely payouts to Doctors/Vendors. 

7. Ensure timely Statutory payments like TDS, PF, PT and filing of GST /TDS returns etc. 

8. Verify the revenues earned by Sales and Services team for disbursing their incentives. 

9. Advise and ensure legal compliances with respect to Company's business. 

Budgeting and Forecasting

10. Periodically prepare Revenue and Expenses estimates and assist in Budgeting and forecasting. 

11. Conduct Revenue and cost analysis and advise on burn reduction and business process efficiencies. 

Audits

12. SPOC for internal and External audits and ensure correctness of data at all times. 

Dashboards

13. Publish monthly Dashboards for investors founders and marketing team’s review and decision making. 

Vendor & Inventory Management

14. Coordinate with vendors on stock procurement, inventory replenishment, invoice verification, account reconciliations, payment follow-ups, and resolution of inventory and operational issues. 

15. Manage inventory records, monitor stock movements, perform periodic inventory reconciliations, and ensure accurate inventory reporting. 

Miscellaneous

16. SPOC for all Bank related. 

17. Coordinate with external accounting firm, and CA firm. 

18. Will be incharge for all Finance related and such other tasks assigned by the founders. 

Strong Enterprise B2B Sales / Hunter Profile with SAP Sales expertise (Domestic Market)

2

Mandatory (Experience) – Must have 8+ years of direct B2B enterprise software sales experience, of which the most recent 5+ years must be in SAP sales (services or license; any SAP module). SAP sales must be current and most recent focus

3

Mandatory (Skill 1) – Must have a hunter mindset focused on net-new logo acquisition, owning the entire sales cycle end-to-end — prospecting, pipeline building, consultation, negotiation, and closure (clearly reflected in the resume with relevant metrics)

4

Mandatory (Skill 2) – Must have a documented history of exceeding annual quotas as a consistent top performer, with proven ability to close large, complex, high-value deals. Individual annual targets and actual achievement against them must be clearly mentioned in the resume; team or regional numbers will not be accepted

5

Mandatory (Skill 3) – Must have experience selling to enterprise accounts in the domestic (India) market

6

Mandatory (Skill 4) – Must have experience engaging CXO / senior executive-level decision makers (CFO, CPO, CIO, COO, CDO) to build the business case and drive closure

7

Mandatory (Communication) – Must have elite verbal & written communication, storytelling, and presentation skills, fluent in English

8

Mandatory (Stability) – Must show stable tenure of 2+ years per organisation. No significant gaps in the most recent 3+ years, and consistent performance throughout

9

Mandatory (Education) – Must be a graduate in any discipline with an aggregate score of 60% or above

10

Mandatory (Note 1) – This is a complete IC, quota-carrying role

11

Mandatory (Note 2) – Six positions across three locations: Mumbai 4, Delhi NCR 1, Bangalore 1. Mumbai is the priority. Must be based in or willing to relocate to the location submitted for

12

Mandatory (Note 3) – Must be open to pan-India travel, tentatively 3 days a week with no upper limit; role is fully work-from-office, 5 days a week

Test Automation-Selenium (java, Selenium, rest api, rest assured, cucumber, test ng, bdd)

5+ years

Bengaluru, Mumbai

Imm joiners

Job Description - Security Solutions Architect

Job Title

Security Solutions Architect / Senior Security Solutions Architect

Practice: Cloud Security & Reliability Engineering (CSR)

Location: India

Regional Coverage: EU/UK, Middle East & Africa (MEA), India, and APAC

Experience:

• Security Solutions Architect: 8–10 years
• Senior Security Solutions Architect: 10–12+ years

Role Overview

We are looking for an experienced Security Solutions Architect / Senior Security Solutions Architect to drive security solutioning across complex cloud, hybrid, and multi-cloud customer environments.

This is a customer-facing solution architecture role operating at the intersection of cloud security, cybersecurity transformation, compliance, pre-sales solutioning, and delivery readiness. The architect will work closely with customers, sales, practice leaders, OEM partners, and delivery teams to understand business and security challenges and translate them into technically robust, commercially viable, and executable security solutions.

The role requires someone who can go beyond product-led solutioning. The successful candidate should be able to understand a customer's existing security landscape, identify risks and capability gaps, define the target-state architecture, and build a clear transformation roadmap.

Given our coverage across EU/UK, MEA, India, and APAC, the architect must also be comfortable adapting security architectures to different regulatory, data sovereignty, industry, and operational requirements.

A strong foundation in Google Cloud Security is mandatory, complemented by hands-on knowledge of modern security platforms, particularly CNAPP/CSPM technologies such as Wiz. Experience across Microsoft security and other cybersecurity platforms will be an advantage.

Key Responsibilities

Security Solution Architecture & Consulting

• Own end-to-end security solution architecture for cloud, hybrid, and multi-cloud customer environments.
• Lead technical discovery and security assessment workshops to understand the customer's current environment, security posture, business objectives, risks, regulatory obligations, and operational challenges.
• Translate customer requirements into scalable, secure, resilient, and commercially viable solution architectures.
• Develop current-state and target-state security architectures, transformation roadmaps, and solution blueprints.
• Design security solutions across areas such as:
• Cloud Security and Cloud-Native Security
• CNAPP, CSPM, CWPP, and Cloud Security Posture Management
• Security Operations and SIEM/SOAR modernization
• Threat Detection and Response
• Identity and Access Management
• Data Security and Data Protection
• Network and Zero Trust Security
• Vulnerability and Exposure Management
• Security Automation and AI-driven Security Operations
• Cyber Resilience and Security Monitoring

Google Cloud Security

• Architect and demonstrate Google Cloud security capabilities across cloud-native and enterprise security use cases.
• Design solutions leveraging relevant Google Cloud security services and technologies for security posture management, threat detection, security operations, data protection, identity, and workload security.
• Translate Google Cloud security capabilities into business and security outcomes relevant to the customer's environment.
• Conduct customer demonstrations, technical workshops, architecture discussions, and proof-of-concept engagements.
• Maintain awareness of evolving Google Cloud security capabilities and incorporate them into solution offerings and reusable architectures.

CNAPP / CSPM & Wiz

• Architect and demonstrate CNAPP and CSPM solutions, with strong hands-on experience in Wiz.
• Design cloud security posture, workload protection, vulnerability management, attack-path analysis, and cloud risk management solutions.
• Position CNAPP capabilities as part of a broader cloud security operating model rather than as a standalone technology deployment.
• Integrate CNAPP capabilities into security operations, governance, compliance, and remediation workflows.

Security Operations & Transformation

• Support customers in modernizing traditional security operations toward cloud-native and AI-enabled security operations.
• Design architectures for SIEM/SOAR modernization, security data onboarding, threat detection, incident response, automation, and security analytics.
• Understand existing customer security ecosystems and define integration approaches across cloud platforms, security tools, identity systems, network infrastructure, and enterprise applications.
• Identify opportunities to simplify fragmented security architectures and improve security effectiveness through platform consolidation and automation.

Compliance & Regulatory Architecture

• Translate regulatory and compliance obligations into practical security architecture and technical controls.
• Design solutions considering relevant frameworks and regulatory requirements, including:
• GDPR and data protection requirements across EU/UK
• Data residency, sovereignty, and localization requirements
• Security and regulatory frameworks applicable across UAE and KSA
• India DPDP Act and relevant sector-specific requirements
• RBI and IRDAI requirements for regulated Indian financial services organizations
• Relevant APAC regulatory and cybersecurity frameworks
• Industry standards such as ISO 27001, PCI DSS, and other applicable security frameworks
• Work with customers in regulated industries including BFSI, government/public sector, healthcare, and other compliance-sensitive environments.

The architect is not expected to act as a legal or compliance auditor but must be capable of translating applicable regulatory and security requirements into appropriate architectural controls and solution designs.

Pre-Sales, SOW & Commercial Solutioning

• Own the technical solutioning lifecycle from initial discovery through proposal, technical closure, and handover to delivery.
• Develop end-to-end Statements of Work (SOWs), including:
• Scope
• Technical solution and architecture
• Deliverables
• Implementation approach
• Effort estimation
• Assumptions and dependencies
• Exclusions
• Acceptance criteria
• Build commercial solutions using standard pricing and estimation frameworks while balancing customer competitiveness, delivery feasibility, risk, and target margins.
• Contribute to RFP/RFI responses, proposals, presentations, solution workshops, and executive-level customer discussions.
• Present and defend proposed architectures with customer CISOs, security leaders, cloud teams, enterprise architects, compliance stakeholders, and technical teams.
• Clearly articulate solution value, differentiation, risks, trade-offs, and expected security outcomes.

Delivery Readiness & Governance

• Validate solution feasibility with delivery and engineering teams before customer commitment.
• Ensure that proposed scope, architecture, effort, timelines, and assumptions are aligned with delivery capabilities.
• Lead structured sales-to-delivery handovers and remain engaged during critical transition stages.
• Minimize delivery rework and commercial leakage by ensuring that customer commitments are clearly documented and technically validated.

Practice Development

• Build reusable security solution architectures, reference designs, SOW templates, pricing models, discovery frameworks, and accelerators.
• Develop repeatable solution patterns for common industry and regulatory scenarios.
• Contribute to the evolution of the CSRE security services portfolio and go-to-market offerings.
• Work with technology partners and OEMs to develop joint solutions, demonstrations, and market propositions.
• Support internal sales and technical teams through enablement sessions and solution playbooks.
• Mentor junior architects and security engineers, particularly at the Senior Security Solutions Architect level.

Must-Have Skills & Experience

• 8–12+ years of relevant experience across cybersecurity, cloud security, security architecture, consulting, or security solutioning.
• Strong hands-on experience with Google Cloud Security, with the ability to architect, demonstrate, and position security capabilities in customer environments.
• Strong hands-on experience with CNAPP/CSPM technologies, preferably Wiz.
• Strong understanding of cloud security architecture across IaaS, PaaS, containers, Kubernetes, cloud-native services, and hybrid environments.
• Experience designing security solutions for complex enterprise environments.
• Strong understanding of modern security architecture concepts across Security Operations, SIEM/SOAR, IAM, data security, network security, vulnerability management, and cloud workload protection.
• Experience designing solutions for regulated industries such as BFSI, government/public sector, or healthcare.
• Working knowledge of security, privacy, compliance, and data sovereignty requirements across relevant geographies.
• Demonstrated experience in customer-facing technical discovery, architecture workshops, and solution presentations.
• Experience independently developing SOWs, technical proposals, effort estimates, and commercial solutions.
• Ability to communicate complex security concepts clearly to technical, business, and executive stakeholders.
• Strong stakeholder management and presentation skills.

Good to Have

• Microsoft Azure and Microsoft Security experience, including exposure to technologies such as Defender, Sentinel, and Entra.
• Experience with Google Security Operations or SIEM/SOAR modernization programs.
• Experience with additional cloud and cybersecurity platforms across AWS, Azure, and multi-cloud environments.
• Exposure to AI-driven security operations, security automation, and emerging AI security technologies.
• Experience working with customers across EU/UK, MEA, India, or APAC.
• Experience working with large enterprise and regulated customers.
• Consulting, system integration, professional services, or managed security services background.
• Relevant cloud and cybersecurity certifications from Google Cloud, Wiz, Microsoft, AWS, or recognized security certification bodies.

What Success Looks Like

The successful architect will be able to:

• Independently lead complex customer security solutioning from discovery to technical closure.
• Build architectures that are secure, compliant, commercially competitive, and executable by delivery teams.
• Demonstrate and position Google Cloud Security and Wiz capabilities confidently in real customer scenarios.
• Convert complex customer security and regulatory challenges into clear solution architectures and transformation roadmaps.
• Produce high-quality SOWs with accurate scope, assumptions, effort, and commercial structure.
• Build trust with customer CISOs, security teams, enterprise architects, compliance stakeholders, and internal delivery teams.
• Create reusable security solution patterns that improve solutioning speed, quality, and consistency across regions.

Experience Level

Security Solutions Architect | 8–10 Years

Expected to independently lead discovery, architecture, solution design, demonstrations, SOW development, and technical solutioning for mid-size to large security engagements.

Senior Security Solutions Architect | 10–12+ Years

Expected to lead complex, strategic, multi-technology, multi-country, and compliance-intensive security engagements. Should be capable of engaging senior customer stakeholders, shaping security transformation programs, handling complex commercial and architectural decisions, mentoring other architects, and contributing to the development of the security practice and its go-to-market strategy.

Job Title: Oracle Channel Revenue Management (CHRM) / Order Management (OM) Functional Consultant

Designation: Senior Associate

Experience: 5–7 Years

Job Summary

experienced Oracle Channel Revenue Management (CHRM) / Order Management (OM) Functional Consultant with strong expertise in Oracle Fusion Cloud Trade Management and Order-to-Cash (O2C) processes. The ideal candidate will have hands-on experience in designing, implementing, and supporting Customer Programs, Supplier Programs, Claims & Deductions, and integrating these processes with Order Management, Pricing, and Accounts Receivable.

Key Responsibilities

Customer Programs (Incentives & Filebacks)

• Gather, analyze, and document business requirements for customer incentive and rebate programs.
• Configure customer trade programs including:
• Customer Rebates
• Volume Incentives
• Lump Sum Offers
• Accrual Programs
• Off-Invoice Promotions
• Scan-Based Offers
• Design and implement Chargebacks and Fileback (Resale) processes.
• Configure trade fund budgets, accruals, fund allocation, and liability management.
• Ensure customer incentive programs comply with pricing and revenue recognition policies.

Supplier Programs

• Configure Supplier Rebates and Ship-and-Debit programs.
• Implement supplier claim submission, validation, approval, and settlement workflows.
• Perform supplier accrual reconciliation and adjustment activities.
• Support cost recovery and distributor margin protection initiatives.

Claims & Deductions

• Configure:
• Customer Claims
• Deductions
• Overpayments
• Non-Invoice Deductions
• Design deduction validation, dispute handling, and settlement processes.
• Configure Credit Memo, Debit Memo, Chargeback, and Write-Off processes.
• Improve deduction aging and automate claim resolution workflows.

Order Management (OM) Integration

• Configure and support Oracle Order Management throughout the complete Order-to-Cash (O2C) lifecycle.
• Integrate Order Management with:
• Oracle Pricing
• Oracle Accounts Receivable (AR)
• Oracle Channel Revenue Management
• Troubleshoot order, pricing, accrual, and claim integration issues.
• Ensure accurate downstream accounting and financial postings.

Project Delivery & Support

• Conduct business workshops and requirement gathering sessions.
• Prepare:
• Functional Design Documents (FDD)
• Configuration Documents (BR100)
• Functional Specifications
• Test Scripts
• Support SIT, UAT, Data Migration, Cutover, Go-Live, and Hypercare activities.
• Provide production support, incident resolution, root cause analysis, and continuous process improvements.
• Coordinate with technical teams for customizations, reports, interfaces, and extensions.

Required Skills

• 5–7 years of Oracle Fusion Cloud Functional Consulting experience.
• Strong expertise in:
• Oracle Channel Revenue Management (CHRM)
• Oracle Order Management (OM)
• Oracle Trade Management
• Hands-on experience in:
• Customer Programs
• Supplier Programs
• Claims & Deductions
• Chargebacks
• Filebacks
• Ship-and-Debit
• Strong understanding of the complete Order-to-Cash (O2C) process.
• Experience integrating Oracle OM with:
• Oracle Pricing
• Oracle Accounts Receivable (AR)
• Oracle Channel Revenue Management
• Experience in full lifecycle implementations, rollouts, upgrades, and AMS support.
• Expertise in preparing Functional Specifications, Configuration Documents, and Test Scripts.
• Excellent stakeholder management, communication, and analytical skills.

Required Skills

• Strong programming experience in Java
• Hands-on experience with Selenium WebDriver
• Experience in API Testing using REST Assured
• Good understanding of REST APIs and HTTP methods
• Experience with Cucumber BDD framework
• Strong knowledge of TestNG
• Experience in designing and maintaining automation frameworks
• Familiarity with BDD (Behavior-Driven Development) methodology
• Experience with Maven/Gradle and Git version control
• Knowledge of SQL and database validation
• Exposure to CI/CD tools such as Jenkins is an added advantage

Key Responsibilities

• Design, develop, and maintain robust automation test scripts using Java and Selenium.
• Automate REST API test cases using REST Assured.
• Create and maintain BDD feature files using Cucumber.
• Develop and execute automated regression, smoke, and functional test suites.
• Integrate automated test execution with CI/CD pipelines.
• Analyze test results, identify defects, and work closely with developers for resolution.
• Participate in requirement analysis, sprint planning, and test estimation.
• Maintain automation frameworks and improve test coverage.
• Ensure software quality by following best testing practices and coding standards.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Agile/Scrum project experience is preferred.