Social Media Marketer

Strong UX Designer Profile with outstanding systems thinking and interaction design skills

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Mandatory (Experience 1): Must have 4+ years of UX experience (with a Bachelor's in Design, 2022 pass-out) or 2+ years (with a Master's in Design, 2024 pass-out) at a product company, with strong systems thinking and interaction design skills

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Mandatory (Experience 2): Must have demonstrable interest and hands-on work in design systems at scale.

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Mandatory (Experience 3): Must have shipped/launched work, clearly outlining their contribution, discarded ideas, and original point of view.

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Mandatory (Experience 4): Must have worked on a complex set of products involving systems thinking, having shipped a couple of them.

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Mandatory (Skill 1): Must be able to use AI tools as a sparring partner and critique their output

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Mandatory (Skill 2): Must have strong analytical skills and be able to work with data, understanding users' problems and critiquing design output

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Mandatory (Company): Must come from a product company only (any product company — B2B SaaS or otherwise).

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Mandatory (Education): Must have a design degree from a Tier-1 college (preferably NID Bangalore / Ahmedabad / Gandhinagar, IIT Bombay (IDC), IIT Kanpur, IIT Delhi, or CKP Bangalore)

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Mandatory (Education 3): Must have an 11th/12th science background

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Mandatory (Portfolio): Must have a UX portfolio (with case studies) that demonstrates end-to-end product thinking — problem definition, user research, systems thinking, wireframing

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Mandatory (Exclusion): Candidates who have primarily focused on brand identity design, logo design, or packaging design will NOT be considered.

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Preferred (Signals): Strong impact and complexity of work; experience at big product companies or high-growth startups

About SkillSecure X

SkillSecure X is an EdTech and technology company focused on providing industry-oriented training, internships, and real-world project experience in Artificial Intelligence, Data Science, Web Development, Cloud Computing, Cybersecurity, and emerging technologies. Our internship programs are designed to bridge the gap between academic learning and industry requirements through practical assignments, mentor guidance, and project-based learning.

About the Internship

We are looking for motivated and enthusiastic Data Science with AI Interns who are passionate about data analysis, machine learning, and artificial intelligence. This internship provides hands-on exposure to real-world datasets, AI tools, predictive modeling, and data visualization while working on guided industry projects.

This opportunity is ideal for students and recent graduates who want to strengthen their practical skills and build a professional portfolio.

Responsibilities

• Analyze structured and unstructured datasets.
• Clean, preprocess, and transform data for analysis.
• Build basic machine learning models.
• Perform exploratory data analysis (EDA).
• Develop data visualization dashboards and reports.
• Work with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Learn and apply AI concepts in practical use cases.
• Complete weekly project tasks and assignments.
• Document findings and present project outcomes.
• Collaborate with mentors and fellow interns.

Required Skills

• Basic knowledge of Python programming.
• Understanding of statistics and mathematics fundamentals.
• Familiarity with Data Science concepts.
• Basic understanding of Machine Learning.
• Knowledge of SQL is an added advantage.
• Good analytical and problem-solving skills.
• Strong communication and willingness to learn.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related disciplines.
• Candidates with a strong interest in AI and Data Science are encouraged to apply.

What You'll Learn

• Python for Data Science
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning Fundamentals
• Artificial Intelligence Concepts
• Data Visualization
• Model Evaluation
• Real-world Project Development
• Professional Documentation
• Industry Best Practices

Internship Benefits

• Hands-on project experience.
• Mentor-guided learning.
• Internship Certificate upon successful completion.
• Letter of Recommendation (based on performance).
• Opportunity to build a professional portfolio.
• Flexible remote working environment.
• Exposure to industry-standard tools and workflows.
• Networking with mentors and peers.

Job description:

Hiring For – Assistant Manager – Maintenance

We are hiring for our Manufacturing top client and looking for an experienced Maintenance professional from the Automotive / Manufacturing industry.

Job Title - Assistant Manager – Maintenance ( Bhiwandi Location )

Qualification: Diploma in Electrical / Mechanical / Automobile Engineering

Experience: 5–6 Years

Salary: 45,000– 50,000 per month

Gender: Male Candidates Only

Joining: Immediate Joiners / Candidates with up to 15 days’ notice preferred

Key Responsibilities

• Handle preventive, predictive & breakdown maintenance of production machines and utilities.
• Troubleshoot mechanical, electrical, pneumatic & hydraulic issues.
• Ensure maximum machine uptime and minimize production downtime.
• Prepare and execute preventive maintenance schedules.
• Monitor machine performance and identify improvement opportunities.
• Maintain breakdown reports, maintenance records & spare inventory.
• Coordinate with Production, Quality & Stores teams.
• Lead and supervise the maintenance team.
• Drive TPM, 5S, Kaizen & continuous improvement initiatives.
• Ensure compliance with ISO 9001:2015 & IATF 16949:2016.

Required Skills

• Preventive & Breakdown Maintenance
• Machine & Utility Maintenance
• PLC, Sensors & Motors
• Pneumatic & Hydraulic Systems
• Root Cause Analysis & Troubleshooting
• TPM / 5S / Kaizen
• Team Handling & Leadership Automotive / Manufacturing Industry Experience

Interested candidates can share their updated CV

Only relevant candidates with Immediate / 15 days joining availability will be considered.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

Job Overview

We are looking for a Salesforce Integration Consultant with hands-on experience in SAP Integration Suite and Salesforce integrations. The ideal candidate should have worked on multiple integration projects and be comfortable handling end-to-end implementation.

Key Responsibilities

• Design, develop, and implement integrations between Salesforce and external systems
• Work on SAP Integration Suite (CPI) for building and managing integrations
• Collaborate with cross-functional teams to gather and understand integration requirements
• Ensure data consistency and smooth data flow across systems
• Troubleshoot and resolve integration issues
• Maintain documentation for integration processes

Required Skills & Experience

• 4–5 years of relevant experience in Salesforce integrations
• Hands-on experience with SAP Integration Suite (CPI)
• Experience working on 2–3 Salesforce integration projects
• Strong understanding of APIs (REST/SOAP), middleware, and integration patterns
• Good problem-solving and debugging skills

Good to Have

• Experience with third-party integration tools
• Knowledge of Salesforce platform (Apex, Lightning, etc.)

Job Title: Chief Manager - Product & Buying (Apparel Retail Brand)

Location: Gurgaon, India

Experience Required: 10-15 years in Apparel retail brand

Industry: Textile / Apparel / Garment Accessories/ Retail

Department: Sales & Business Development

·        Develop and implement detailed seasonal product plans, aligned with business goals.

·        Present range and sign off Business Unit (BU) plans in coordination with the Buying and Merchandising Head.

·        Book product quantities to support launches and adapt to in-season sales trends.

·        Analyze sales data to support informed buying decisions.

·        Work closely with suppliers to revise production flows based on sales performance and maximize sell-through.

·        Set and review targets for sales, margins, stock levels, commitments, and availability.

·        Contribute to the operating plan review and capture key learnings for future planning.

·        Manage catalogue intentions and the In-Range Presentation (IRP).

·        Lead planning and execution for all markdown and promotional periods.

·        Monitor supplier performance and ensure timely agreement and alignment on range production plans.

·        Coordinate with suppliers for flow inputs to maintain alignment between production and commitments.

·        Manage production plans to optimize Merchandise Stock Index capacity.

·        Collaborate with the Retail team by providing inputs for store layout planning.

·        Contribute to pricing strategies for new ranges.

·        Maintain competitive awareness and monitor product offerings in the market.

·        Plan, optimize, and review the product catalogue in alignment with store formats and chain performance.

·        Lead implementation of new systems and processes for improved efficiency.

Key Requirements:

·        Create and execute the departments Operating Plan.

·        Select relevant products from the M&S global catalogue to capture trends, drive volume, and meet customer demand.

·        Lead local product development to address market gaps, regional requirements, and margin improvement opportunities.

·        Plan and manage flow and phasing of stock to ensure timely product availability.

·        Ensure buying is aligned with approved plans and meets critical path timelines.

·        Drive in-season development of short lead-time products to improve responsiveness.

·        Develop and scale value fashion lines for Tier 2 markets.

·        Collaborate with Visual Merchandising and Marketing to deliver compelling in-store looks and storytelling.

Mail updated resume with current salary-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43

Website: www.glansolutions.com

Google search: Glan management consultancy

Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.

Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.

To know more visit https://elocitytech.com/

Responsibilities:

• Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.
• Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.
• Create low-level design of modules of a software application through proper documentation and
• diagrams.
• Develops software solutions by studying requirements, clarifying customer/user needs, analysing data
• and processes and following established software development practices and processes.
• Develops proof of concepts for technical evaluation and early customer feedback
• Updates and shares knowledge by studying state-of-the-art development tools, programming
• techniques, and computing technology; reading professional publications
• Networks with internal and external personnel in own area of expertise.
• Skills:
• Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.
• Experience in Debugging/troubleshooting TypeScript code.
• Experience in API development (REST/GraphQL etc)
• Experience in development of Web and Mobile(android/iOS) applications
• Exposure of Parallel and Asynchronous programming
• Experience in writing Unit tests (Jest or any similar framework)
• Should be proficient in relational Database concepts (Postgres etc.)
• Knowledge of Non-relational Databases would be a plus.
• Good Understanding of Object-Oriented Programming Concepts.
• Good Understanding of Design Patterns.
• Good command of Data structures, Algorithms and Complexity.
• Good at problem solving and analytical skills.
• Experience with Source Code Versioning systems (Git etc)
• Understanding of Micro services Architecture would be a plus