Gaming UX Designer

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.

We are seeking a Senior UI/UX Designer & Developer to lead user‑experience and interface design across our AI platform. The ideal candidate will have deep experience crafting complex digital products from concept to launch, be highly proficient in Figma and other modern design/prototyping tools, and be motivated to translate AI‑driven workflows into intuitive experiences for clinicians, researchers and business users. This role demands excellent problem‑solving skills, the ability to conduct user research and synthesise insights into design decisions, and the technical know‑how to collaborate with full‑stack engineers on the implementation.

Key Responsibilities

• Lead UX Strategy & Research
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• Conduct discovery research, interviews and design-thinking sessions to understand user needs, pain points and mental models, especially in clinical and med‑tech contexts .
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• Gather and interpret analytics, telemetry and user feedback to inform product roadmaps and AI‑assisted experiences.
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• Design AI‑Enabled User Journeys
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• Craft user flows and interaction patterns for AI‑powered features (e.g., conversational interfaces, predictive insights) ensuring the outputs are trustworthy and actionable.
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• Collaborate with product and engineering teams to scope MVP features, create wireframes and high‑fidelity mock‑ups, and iteratively refine the designs based on feedback .
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• Develop & Prototype
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• Build interactive prototypes using Figma and other rapid‑prototyping tools; implement responsive UI components using HTML, CSS, JavaScript/TypeScript or React.
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• Work alongside full‑stack developers to translate designs into production code, ensuring accessibility, performance and adherence to design systems .
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• Establish Design Systems & Best Practices
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• Define and maintain a scalable design system with pattern libraries, UI components and design tokens.
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• Champion UX best practices such as usability testing, heuristic evaluations and inclusive design .
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• Evaluate emerging AI design tools and generative capabilities to accelerate design workflows.
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• Cross‑Functional Collaboration
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• Communicate design decisions effectively to stakeholders, including product managers, AI scientists, clinicians and business leaders .
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• Participate in Agile ceremonies, provide UX input on backlog prioritisation and contribute to sprint planning and reviews .
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Qualifications & Experience

• Experience:
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• 6-10 years of UI/UX design experience with at least 3–5 years designing complex SaaS platforms or AI‑enabled products in healthcare, med‑tech or regulated industries.
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• Demonstrated success leading end‑to‑end design projects—from discovery through research, prototyping, user testing and production.
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• Strong understanding of AI concepts (generative AI, NLP, predictive analytics) and how they impact user experience.
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• Skills:
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• Expert proficiency with Figma and similar design tools like Sketch, Adobe XD and ProtoPie.
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• Strong knowledge of design systems, human‑centered methodologies and data‑driven UX decision‑making .
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• Proficiency in front‑end technologies (HTML5, CSS3/SASS, JavaScript/TypeScript or React) and understanding of responsive design and accessibility standards .
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• Ability to communicate designs and concepts clearly and persuasively to non‑design audiences .
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• Experience with Agile/Scrum, CI/CD workflows and collaboration tools such as Jira, Confluence and Git.
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• Preferred:
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• Familiarity with healthcare regulations (HIPAA, SaMD) and designing compliant user experiences.
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• Experience working with global teams (US, India, EMEA) and designing multi‑language interfaces.
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What Success Looks Like

• Deliver intuitive, accessible interfaces that empower clinicians and researchers to leverage AI‑driven insights with minimal friction.
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• Establish a cohesive design system across the IntraIntel.ai platform and ensure consistency across modules.
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• Collaborate closely with development teams to ensure seamless hand‑offs and high‑quality implementation of UI components.
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• Mentor junior designers and developers, fostering a culture of experimentation, empathy and user advocacy.
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Application & Evaluation

Candidates should be prepared to present a portfolio demonstrating complex project work, particularly AI‑enabled or healthcare‑related interfaces. We value clear communication, a passion for solving real‑world problems and the ability to translate technological possibilities into human‑centered solutions.

Job Title : React.js + Web3 Developer

Experience : 2+ Years

Location : Gurgaon, Sector 48 (Work From Office)

Working Days : 6 Days

Employment Type : Full-Time, Permanent

Job Summary :

We are seeking a talented React.js + Web3 Developer to join our fast-growing engineering team.

The ideal candidate should have strong front-end development skills along with hands-on experience in blockchain/Web3 integrations.

Mandatory Skills : React.js, JavaScript/TypeScript, Web3.js/Ethers.js, Wallet Integrations, State Management (Redux/Zustand), REST APIs, Git.

Key Responsibilities :

• Develop responsive, scalable front-end applications using React.js & TypeScript.
• Integrate Web3.js / Ethers.js to connect UI with blockchain networks.
• Work with REST & GraphQL APIs for backend communication.
• Implement wallet integrations (MetaMask, WalletConnect, Coinbase Wallet, etc.).
• Collaborate with blockchain engineers for smart contract interactions.
• Optimize UI performance, handle state management, and write clean, maintainable code.
• Troubleshoot and enhance Web3 features within the application.

Mandatory Skills :

• Strong hands-on experience in React.js, JavaScript/TypeScript.
• Experience with Web3.js/Ethers.js, blockchain interactions.
• Understanding of wallet integrations, dApps, and blockchain basics.
• Knowledge of state management (Redux/Zustand/Context API).
• Strong debugging, problem-solving, and Git experience.

Nice to Have :

• Familiarity with Solidity, Smart Contracts, and Ethereum ecosystem.
• Experience with Node.js or backend systems.
• Understanding of IPFS, Layer 2 solutions, and NFT standards.

Job Title: Lead Microsoft Dynamics 365 Developer

Experience: 5 - 7+ Years

Location: Remote

Contract Duration: 6 Months (Extendable)

Compensation: 1.4 LPM

Shift Timing: Early Morning (7:30 AM or 8:30 AM Start)

Schedule: 5 Days per Week

Overview:

Wama Technology is seeking a seasoned Lead Microsoft Dynamics 365 Developer to join our team on a contract basis. The successful candidate will lead the design, development, and integration of enterprise CRM and Power Platform solutions. This role requires technical depth in the Microsoft stack and the ability to operate independently in a remote, global-aligned early morning shift to align with critical project requirements.

Key Responsibilities:

• D365 Development: Customize and configure Dynamics 365 Sales & Customer Service to meet complex business requirements.
• Marketing Integration: Implement and manage Customer Insights, Journeys Marketing, and Real-Time Marketing modules.
• Power Platform Expert: Build scalable solutions using Canvas Apps, Model-Driven Apps, and complex Power Automate workflows.
• Integration Management: Architect integrations leveraging Microsoft Azure, Service Bus, Directory Services, Data Factory, and robust Web APIs.
• DevOps & Quality: Maintain high code standards via Git and automated CI/CD pipelines in Azure DevOps.
• Technical Implementation: Develop custom features and extensions using C#, JavaScript, HTML, CSS, and SQL Server.

Technical Requirements:

• Experience: 5 to 7+ years of relevant professional experience, including team leadership.
• D365 Core: Dynamics 365 Sales, Customer Service, Customer Insights, Journeys Marketing, Real-Time Marketing.
• Power Platform: Advanced Power Apps (Canvas and Model-Driven) & Power Automate.
• Azure/Dev: Azure DevOps, Service Bus, Data Factory, Directory Services, Web APIs, C#, JavaScript, HTML, CSS, SQL Server.
• Domain Knowledge: Previous professional experience within the Insurance domain is highly advantageous.

Software Engineer

The Role

We are looking for a full stack engineer to join our team. We ideally hire engineers who are comfortable across the full stack, but

we know you will have a preference about being on the front-end or back-end. As long as you're happy to work on both sets of

tasks – you should carry on reading!

Our Technology

• Back-end: C#, ASP.NET, Web API, MVC, Entity Framework

• Database: SQL Server. Knowledge of non-SQL databases is a plus

• Cloud: Microsoft Azure, AWS

Responsibilities

• Design of the overall architecture of the web application

• Implementation of a robust set of services and APIs to power the web application

• Building reusable code and libraries for future use

• Optimization of the application for maximum speed and scalability

• Implementation of security and data protection

• Translation of UI/UX wireframesto visual elements

• Integration of the front-end and back-end aspects of the web application

Additiontionalresponsibilitiesfor Project Lead

• Active participation in design\build cycle of the software engineering life cycle (prototyping, architecture, detailed design,

development, testing and deployment).

• Providing expertise in technical analysis and solving technical issues during project delivery.

• Code reviews, test case reviews and ensure code developed meets the requirements.

• Collaborate with product management and engineering to define and implement innovative solutions for the product

direction, visuals and experience.

• Requirement gathering and understanding, analyze and convert functional requirements into concrete technical tasks and able

to provide reasonable effort estimates

• Mentor and develop skills of junior software engineers in the team.

Tech Skills and Qualifications

• Contract Length : 1 year

• Software Engineering Degree with 3-5 years of experience.

• Expert knowledge of JavaScript and Node.js, good understanding of Angular and JavaScript testing frameworks (such as Jest,

Mocha etc.)

• Good understanding of Cloud Native architecture, containerisation, Docker, Microsoft Azure/AWS, CI/CD, and DevOps

culture.

• Knowledge of cloud-based SaaS applications/architecture.

• Practical experience in the use of leading engineering practices and principles.

• Practical experience of building robust solutions at large scale.

• Appreciation for functions of Product and Design, experience working in cross-functional teams.

• Understanding differences between multiple delivery platforms (such as mobile vs. desktop), and optimizing output to

match the specific platform.

Job Description

• Experience in UI development using React JS
• In depth knowledge of JavaScript, CSS, HTML and front-end languages
• Excellent front-end coding skills, and a good understanding of progressive applications
• Strong knowledge of UI design principles, patterns, and best practices
• Experience working with JavaScript and Typescript, React, Redux, RxJS, Yarn
• Experience in test driven development using modern source control and continuous integration
• Design, develop, test, deploy and maintain software
• Delivering high quality and well-structured code

About us
An analytics, software development and product focused company with a focus to create value for the various sectors of Society. We try to use technology as a innovation for various problems people face and hence resulting in the upliftment of the people.

What we are looking

We are looking to hire a talented database administrator to manage company’s Oracle database system. You will be required to install and maintain the database software, create storage structures, set up user accounts, debug malfunctioning programs, create backups, and regularly maintain the database security.

To ensure success as an Oracle database administrator, you should have extensive experience with DBA front-end and back-end tools, excellent problem-solving skills, and hands-on experience with Oracle database management. Ultimately, a top-level Oracle DBA can expertly manage a company’s database system to maximize performance and efficiency.

Responsibilities:

• Installing and maintaining the Oracle database software.
• Creating storage database structures with high-level security features.
• Altering storage structures to meet the evolving needs of the company.
• Setting up database user accounts.
• Training users on how to access the information in the database.
• Finding and debugging malfunctioning programs affecting the database integrity.
• Creating autonomous database backups.
• Regularly updating the database security protocols.

Requirements:

• Bachelor’s degree in computer engineering or computer science.
• 3-5 years work experience as a Database administrator.
• Familiarity with Oracle database design, coding, and documentation.
• Knowledge of database backup procedures, recovery systems, and SQL.
• Knowledge of programming languages and API.
• Excellent communication and problem-solving skills.
• Ability to visualize algorithmic structures.
• Outstanding analytical, problem-solving, and communication skills.
• Excellent organizational and time management skills.
• Self-driven, flexible, innovative and dedicated team-member.

  Strong knowledge in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc. 

 Sound Knowlegde querying databases and using statistical computer languages: R, Python, SQL, etc. 

 Strong understanding creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.