My Digital Shelf is an expanding and highly entrepreneurial start-up research and production company producing B2B conferences for the global Digital Retail and Consumer goods industry
The role of the Marketing Manager will be to perform general duties to support event planners, project managers and the Global Event team
- Social media daily management - primariliy linkedin and Twitter
- Digital marketing - SEO, PPC advertising and more
- Website content develpoment and management
- Copy writing for press releases, website and ad-hoc pieces
- Market research including competitot analysis and performance improvement
- Liaising with external media agencies and association for advertising campaigns and barter agreements/partnership opportunities
- Liaising with suppliers including printers, design agencies and publications
- Reporting directly to the Director and planning the event calendar with them
- Ad hoc support to team including assisting with events management and promotional activity
- Maintain production schedules for event materials/collateral
Work on event follow-up and Event Metrics and Analysis
Candidate requirements:
- Graduated to degree level or equivalent in your chosen discipline, ideally Marketing, Social Sciences, Humanities, Languages or similar
- Fluent in written and spoken English
- Ability to work under pressure and meet demanding deadlines
- Confident and mature approach, reflective of the profile of the position and organisation
- Ability to work independently and show a strong sense of initiative, taking ownership of key projects when required with a proactive attitude
- Ability to multitask, prioritise and be flexible is essential
- Works well as part of fast-paced team, prioritising effectively and managing workload
- Excellent IT skills - proficient in both Windows and Mac operating systems (i.e. PowerPoint, Keynote, Excel, Word, Outlook)
- Strong interpersonal and communication skills both verbal and written, able to successfully interact with all parts of the business and stakeholders at all levels
- Excellent organisational, analytical and administrative skills, meticulous attention to detail
- Flexible in approach and able to amend hours as required to suit business needs
- Able to work with confidential material and sensitive information with absolute discretion
Shubham Vishwakarma
Full Stack Developer - Averlon
About My Digital Shelf
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Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
ABOUT THIS MANDATE :
Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.
This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.
We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.
THE OPPORTUNITY AT A GLANCE :
AI-First Engineering Culture :
- Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
Hands-On Engineering Leadership :
- Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
People & Org Builder :
- Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
KEY RESPONSIBILITIES :
1. Hands-On Technical Engagement :
- Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
- Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
- Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
- Identify and resolve systemic technical debt and architectural risks across team-owned services
- Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
- Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability
2. AI Adoption, Integration & Transformation (2026 Mandate) :
- Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
- Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
- Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
- Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
- Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
- Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
- Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
- Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
3. People Leadership & Team Development :
- Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
- Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
- Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
- Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering
4. Engineering Delivery & Execution Excellence :
- Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
- Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
- Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
- Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership
5. Strategic Leadership & Cross-Functional Influence :
- Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
- Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
- Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
- Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
- Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
- Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use
AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :
In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :
AI Developer Productivity
- Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.
LLM & GenAI Product Features
- Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.
AI-Augmented Observability
- Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.
Team AI Fluency :
- Build mandatory AI literacy across all engineering levels.
- Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.
Responsible AI Governance :
- Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.
TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :
- Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
- Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
- AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
- Copilot: Cursor /Hugging Face
- Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
- Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
- Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
- MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
- Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
- CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)
QUALIFICATIONS & CANDIDATE PROFILE :
Education :
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
- Demonstrated engineering depth and leadership impact may complement institution pedigree
Experience :
- 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
- Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
- Hands-on backend engineering background must be able to read, write, and critique production code
- Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
- Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
- Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
- Demonstrated career stability minimum of 2 years of average tenure per organisation.
The Ideal Engineering Manager in 2026 :
- Leads with context, not control, empowers engineers while maintaining accountability and quality
- Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
- Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
- Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
- Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
- Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
- Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites
WHY THIS ROLE STANDS APART :
AI Transformation at Scale :
- Lead one of the most significant AI adoption programmes in India's digital media sector.
- Our decisions will shape how hundreds of engineers work in 2026 and beyond.
Hands-On & Strategic Balance :
- A rare EM role that actively encourages technical depth.
- Stay close to the code while owning the people agenda - the best of both worlds.
Established Platform, Real Scale :
- 5001,000 engineers, proven product-market fit, and the org maturity to execute.
- This is not a greenfield startup gamble it is a serious company with serious ambition.
Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
- Senior leadership is invested in growing its next generation of technology executives.
React.js
React Native
Javascript
NodeJS (Node.js)We are looking for a Frontend developer who is proficient with React.js with Html and CSS. The primary focus will be on developing user interface components and implementing them, following well-known React.js workflows such as Redux. The developer would ensure that these components and the overall application are robust and easy to maintain.
Job Description
● Independently think of solutions to complex requirements; possess exceptional logical skills.
● Work on products that are used across platforms (e.g. Android and iOS Mobile Devices,
Tablets, Desktop/Mac)
● Analyse current products in development, including performance, scalability, diagnosis and troubleshooting
● Work with the existing framework and evolve it by building reusable code & libraries
● Search and introduce new software related technologies, processes and tools.
● Collaborate with other team members
● Working on the robustness of the application
Key Skills Required:
● Strong hands-on experience in JavaScript, HTML5, CSS3, CSS3 Animations.
● Good understanding of advanced JS libraries and frameworks such as React.js and Angular.
● Understanding of client-side unidirectional data flow principles and Redux knowledge.
● A good understanding of - React Native - is a big plus.
● UI Performance: should have hands-on experience of optimizing page load, rendering,caching.
● NodeJS, Webpack knowledge is a plus.
● Proficient understanding of cross browser compatibility issues and ways to work around such issues.
● Fluent in responsive design and mobile / tablet UI / UX.
● Web mobile (touch devices: mobiles and tablets) experience is expected.
● Familiarity with JavaScript standards(ES5,ES6) and OOPS concepts.
.NET
C#Requirements:
- Should have work experience in design, development, Code, and Unit Test web and desktop-based applications written in. Net framework starting from 4 x and above.
- Should have a good understanding of web servers such as IIS and Front-end such as HTML's and Razor based engines.
- Strong coding experience and thorough understanding of programming languages such as C#, VB. NET, ASP. Net, ADO. Net, jQuery, JavaScript, Traditional Web Services, WPF, Web API, and other Scripting languages such as pythons.
- Must have exp. into WPF and C#
Industry Type: IT Software
Job Location: Indore MP
Experience: 2-3 yrs.
Job Type: Full Time
Responsibilities
• The ERP Implementation Professional will work closely with ERP team members as well as end
users to provide functional support and training of business processes enabled by
PROCESSMASTER ERP in the respective modules.
• ERP Implementation, for the modules like Finance, Production, Stores, Sales, Inventory Control.
• Provide ERP support by resolving customer queries via phone, email, remotely or at client-side
location.
• Responsible to communicate with Customer ERP core team, implementation team, Technical
consultant and his Manager.
• To Maintain Flowcharts, SOP's and prepare user manuals and provide end user training
• To configure, deploy and manage the ERP system and the backend database system
• Extensively travel to client end for software implementation and training purpose.
Desired Candidate Profile
• Any Graduate/Post Graduate with 0-3 yrs. experience of working with ERP Softwares
• Minimum 1+ year working experience in Software implementation and Support
• Strong knowledge of PLSQL is required
• Ability to solve complex business issues and having excellent communication and presentation
skills
• Functional knowledge of ERP Modules and Processes
Preferred
• Prior experience in implementation and support of Manufacturing ERP Solution would be
preferable
Docker
Kubernetes
Amazon Web Services (AWS)Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint
Android Development
Kotlin- B.E/M.C. A Or B.C.A Degree in Computer Science, Engineering, MIS, Or Similar Relevant Field
- Strong Knowledge of Android SDK, Different Versions of Android, And How to Deal with Different Screen Sizes
- Familiarity with RESTful APIs To Connect Android Applications to Back-End Services
- Strong Knowledge of Android UI Design Principles, Patterns, And Best Practices
- Experience With Offline Storage, Threading, And Performance Tuning
- Ability to Design Applications Around Natural User Interfaces, Such As “Touch”
- Familiarity with The Use of Additional Sensors, Such as Gyroscopes and Accelerometers
- Knowledge of The Open-Source Android Ecosystem and The Libraries Available for Common Tasks
- Ability to Understand Business Requirements and Translate Them into Technical Requirements
- Familiarity with Cloud Message APIs And Push Notifications
- A Knack for Benchmarking and Optimization
- Understanding of Google’s Android Design Principles and Interface Guidelines
- Proficient Understanding of Code Versioning Tools, Such as Git
- Familiarity with Continuous Integration - Good Knowledge of Kotlin.
- At Least Publish 3-4 Application in the Play Store
- Knowledge of Cross-Platform And iOS Development Will Be an Advantage.
- Knowledge of health care and e-commerce domain will be good.
Android Development
Java
XML
React.js
Amazon Web Services (AWS)
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Full Stack Developer - Averlon