11+ Spree Commerce Jobs in Delhi, NCR and Gurgaon | Spree Commerce Job openings in Delhi, NCR and Gurgaon

We are looking for candidates who are from Indiamart, Alibaba, and Tradeindia or have experience in digital (website) sales.

Responsibilities

• Managing the sales process to close new business opportunities
• New business generation by meeting potential clients to understand their needs and providing relevant solutions
• Meeting clients and giving presentations

• Improve marketability and profitability by researching, identifying & capitalization on market opportunities

• Identifying opportunities for new business development through following up on leads and conducting research on target clients
• Meeting and exceeding weekly and monthly revenue targets

• Build and maintain client relations
• Work with internal departments such as the production team to engage clients more deeply
• Solve problems for clients and customers by developing innovative and tailored sales solutions
• Map potential customers and generate leads for the organization and look for new opportunities
• Be a brand ambassador and reflect company value at all times

Skills

• Bachelor/Masters degree in Sales/ Marketing or a related subject

• Proven experience in sales/marketing profile, ideally in the IT service industry

• Should have a strong understanding of online advertising process and technology Fundamentals

• Good business sense

• Deep understanding of sales & marketing principles

• Excellent written and verbal communication skills

• Positive attitude and negotiation skills

• Good presentation skills

 Salary: Salary commensurate with Skill & Experience

About Naicos

Naicos, a fast-paced startup, builds AI-native products for algorithmic commerce: the future of how e-commerce runs. Our first products are already live with paying customers, and we are shipping new ones continuously.

Your Role

You will lead a small team building the image generation products that create catalog imagery for sellers at scale. You will set the technical approach, judge what is feasible, and stay hands-on, writing prompts and Python alongside your team.

Who We Are Looking For

•     Total experience: 3 to 5 years

•     AI experience: 1 year or more, hands-on

•     Python: strong, everyday coding ability

•     Experience guiding 2 to 4 engineers, formally or informally

You will own delivery for this team, working with the Architect on the wider technical direction. This is a hands-on lead role, not a management role.

AI Skills and Experience

•     Python: strong, hands-on. You will still write code every day.

•     Prompt engineering for image generation models, or equivalent depth in another AI domain, with the judgement to know when a prompt is likely to fail

•     Image manipulation in Python (Pillow, OpenCV): resizing and interpolation, contrast and tonal adjustment, overlaying and joining images, other basic image manipulation funcitons

•     Evaluates the feasibility of a requirement in the AI and LLM domain, and finds creative solutions to stated problems

Good to have

•     LangChain, LangGraph and Airflow; vibe programming (AI-assisted programming)

•     Agent harness and agentic workflows; image-to-image and inpainting workflows; batch processing at volume; awareness of generation cost per image

Learning ability

•     Absorbs new tools and the e-commerce catalog domain, and brings the team along

Other Relevant Skills and Experience

•     Guides 2 to 4 engineers: assigns work, reviews output, unblocks and grows them

•     Git and code review discipline; owns quality and daily output for the team

•     Communicates clearly with product, catalog and business stakeholders

Educational Qualification

•     BE / B.Tech in Computer Science, IT or a related engineering discipline

•     MCA

•     BSc / MSc in Computer Science, Maths or Statistics, with demonstrated coding work

•     Or equivalent practical experience with a strong portfolio of shipped work

Pre-Sales Specialist – Server and Storage Portfolio

Company Name

Savex Technologies Pvt. Ltd.

Company Website

Corporate video -        https://www.youtube.com/watch?v=AVw5UY2N-X4&;t=15s

E - Brochure -           https://www.digitaltechmedia.in/magazine/savex/savex.html

Website -               www.savex.in

About us -              http://www.savex.in/about-us.php

Branch Locations -        http://www.savex.in/branch.php

Company details

Savex Technologies Pvt ltd is the 3rd largest Information and communication technology distributor in India for diverse Business sectors. They provide services like Consulting and Technical Support, Demo Lab and testing, Marketplace fulfillment services, Financial Services, Reverse Logistics & warranty Management services, Supply Services, Online Store Services. They are leading players in the IT Infrastructure, Network Solutions, Security Solutions and Cybersecurity solutions domain.

Its a seasoned company operating for the last 35 years

Location: Mumbai - Narimanpoint office

Mode of Working: Work Form Office

Days of Working: 6 days a week (First 2 Saturdays are off and 3rd and 4th Saturdays are half days)

Responsibilities

Position Overview:

1. We are looking for a technically competent IMPLEMENTATION Specialist – Server and Storage Portfolio to support the channel sales team and partners in delivering technical solutioning for enterprise-grade hardware systems.
2. Implementation Experience on Server and Storage

Key Responsibilities

• Provide technical solution expertise for the Server and Storage portfolio to partners and customers.
• Deliver technical demonstrations, POCs, and architecture designs.
• Enable partners through technical training and enablement sessions.
• Assist partners in responding to technical requirements in RFPs and proposals.
• Collaborate with OEM technical teams to understand hardware specifications, integrations, and deployments.
• Support partners in articulating technical solutions and differentiators to customers.

Skills Needed

Qualification: 

• Bachelor’s degree in engineering/computer science / IT.

Key Skills & Experience

• Implementation (Installation, Configuration, Deployment or upgradation) Experience on Server and Storage
• 3–6 years of Total Experience with 1-2 yrs of pre-sales or solution consulting experience in Servers and Storage.
• Strong technical understanding of servers, storage systems, networking devices, and infrastructure appliances.
• Ability to design hardware solution architectures and deployment plans.
• Strong communication, demo, and documentation skills.

ROLE & RESPONSIBILITIES:

We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.

KEY RESPONSIBILITIES:

1.     Cloud Security (AWS)-

• Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
• Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
• Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
• Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
• Ensure encryption of data at rest/in transit across all cloud services.

2.     DevOps Security (IaC, CI/CD, Kubernetes, Linux)-

Infrastructure as Code & Automation Security:

• Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
• Enforce misconfiguration scanning and automated remediation.

CI/CD Security:

• Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
• Implement secure build, artifact signing, and deployment workflows.

Containers & Kubernetes:

• Harden Docker images, private registries, runtime policies.
• Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
• Apply CIS Benchmarks for Kubernetes and Linux.

Monitoring & Reliability:

• Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
• Ensure audit logging across cloud/platform layers.

3.     MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-

Pipeline & Workflow Security:

• Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
• Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.

ML Platform Security:

• Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
• Control model access, artifact protection, model registry security, and ML metadata integrity.

Data Security:

• Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
• Enforce data versioning security, lineage tracking, PII protection, and access governance.

ML Observability:

• Implement drift detection (data drift/model drift), feature monitoring, audit logging.
• Integrate ML monitoring with Grafana/Prometheus/CloudWatch.

4.     Network & Endpoint Security-

• Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
• Conduct vulnerability assessments, penetration test coordination, and network segmentation.
• Secure remote workforce connectivity and internal office networks.

5.     Threat Detection, Incident Response & Compliance-

• Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
• Build security alerts, automated threat detection, and incident workflows.
• Lead incident containment, forensics, RCA, and remediation.
• Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
• Maintain security policies, procedures, RRPs (Runbooks), and audits.

IDEAL CANDIDATE:

• 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
• Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
• Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
• Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
• Strong Linux security (CIS hardening, auditing, intrusion detection).
• Proficiency in Python, Bash, and automation/scripting.
• Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
• Understanding of microservices, API security, serverless security.
• Strong understanding of vulnerability management, penetration testing practices, and remediation plans.

EDUCATION:

• Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
• Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

You will be working at the intersection of student mobility, higher education research

and product intelligence — building and enriching a data platform architecture that

helps students navigate college admissions, career choices, and an evolving

educational landscape. This goes beyond just educational data: you will research

emerging careers, new-age skills, and shifting industry demands, structuring them into

our product so students always have accurate, relevant guidance on time. You will

leverage AI tools daily — not just as a research aid, but as a collaborator in product

operations. Technical fluency and a fundamental understanding of data architecture

and ops are non-negotiable.  

Role Details

• Research, collate, clean, and deploy qualitative and quantitative data on colleges, courses, eligibilities, fees, and careers — and extend this to emerging professions, new-age skills, and evolving educational trends

• Develop and curate information on colleges, entrance exams, occupations, industries, and careers, for usage as advisory material by students, teachers, counsellors and parents

• Conduct secondary studies on career pathways in multiple industry sectors,including medicine, architecture, design, space technology, defense, finance,education, energy etc. This list is not exhaustive, it will be diverse.

• Find and present information about both traditional & unique ways of how an education cascade can finally translate into an entry in an industry sector or academia

• Ensure technical accuracy and thorough fact-checking of all published data; follow documentation protocols and deliver on time

• Structure data into schema-based frameworks — mapping career pathways,skill requirements, and industry trends into our product’s data architecture

• Use LLMs as active tools — for triangulation, data synthesis, prompt-driven code generation & output evaluation; flag inaccuracies and improve results iteratively

• Contribute to our in-house chatbot design that make our services sharper and more student-friendly

• Build and automate data pipelines through LLMs — handle large datasets through cleaning, transformation, and validation at scale

• Collaborate with other teams to identify data gaps and translate research findings into actionable inputs for feature development and user journeys

Who we're looking for ?

✅ Bachelor's or Postgraduate degree

✅ Proficiency in Google Cloud Suite (incl. Google Apps Script), Microsoft Suite (incl. Office automations scripts in Excel but Macros not required)

✅ Prior Experience with LLMs, AI tools, and API integrations in Data Operations

You will be our first marketing hire, and will be responsible for laying the foundation of our marketing DNA described above.

• Conceptualize from scratch our multi pronged marketing strategy - SEO (blog, newsletter), social media (linkedin, twitter), community, education (webinars, podcasts), partnerships etc
• Understand our user/buyer persona, empathize with them, conceptualize relevant content topics, and work with content writers to push high quality content on various platforms
• Identify the right keywords for Zenskar to optimize on - both head, and long tail
• Iterate to figure out the correct tone for our social media communication, and build relevant audience on social platforms
• Reach out to industry influencers, collaborate with them and organize webinars, podcasts etc with the intent to establish Zenskar as an authority in the industry
• Create a vibrant community of our user and buyer persona, with the intent to help solve the problems they face on a daily basis
• Hire as the team grows and mentor junior folks

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

Job profile- Oracle _ Solution Architect
Experience – 6+ years
Location- Bangalore/ Chennai/ Pune/ Noida
Salary- 30 LPA
Qualification- Any
Job Location- Bangalore/ Chennai/ Pune/ Noida
Key Skills- Oracle ERP cloud solutions, Rollout or implementation, Oracle EBS
Roles & Responsibilities-

• Solution architect experience in the delivery of Oracle ERP cloud solutions, leading the design and implementation of Oracle ERP Cloud Solutions across a range of client industries and leading customer engagements and advising on Oracle fusion related topics.
• Strong hands-on experience with Oracle Cloud ERP solution architectures, design, rollout and implementation leadership.
• 8 years minimum experience in Oracle EBS and Oracle ERP Cloud with the majority of recent experience in Oracle Fusion (Cloud) applications.
• Minimum 4-6 years of experience in Oracle cloud solution implementation. Recent experience in a lead role in at least 2 full ERP Cloud implementations