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JD for Digital Marketer (Adword Expert)

Responsibilities and Duties

1.Create, categorize, and refine keyword lists to create a comprehensive campaign that drives qualified visitors to our site

1. Perform management of PPC accounts on Google AdWords, Yahoo, Bing and other search platforms for a variety of clients.
2. Assist in the maintenance and monitoring of keyword bids, budget caps and other important account metrics.
3. Create online banner adverts and oversee pay per click (PPC) ad management
4. Track and analyze website traffic flow and provide regular internal reports
5. Manage and maintain updates for keyword lists.
6. Provide recommendations and execute strategies for keyword opportunities, campaign structuring, targeting,

 display network, and other facets of paid search in accordance with client goals.

1. Familiarity with Google Adwords reporting interface

Job Requirements:

• Experience in Search Engine Optimizations (SEO) Search Engine Marketing (SEM) and Paid Search (PPC).
• Proficiency in MS Office
• Experience working with AdWords and Bing Ads
• AdWords certification required
• Ads 360 experience (previously Double-click Search)
• BS/BA degree preferred
• Agency experience preferred
• High proficiency with Google Analytics, Bing Analytics and other website analytics software

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.

The HR Executive is responsible for handling recruitment, employee coordination, documentation, and daily HR activities to support smooth workforce management and company operations.

Key Responsibilities:

• Handle end-to-end recruitment (sourcing, screening, scheduling interviews)
• Coordinate with candidates and clients regarding job requirements
• Maintain employee records, attendance, and documentation
• Prepare offer letters and onboarding formalities
• Follow up with selected candidates for joining
• Maintain HR reports and recruitment trackers
• Support payroll inputs and leave management
• Handle employee queries and basic HR operations
• Ensure proper communication between management and staff

Only female candidates

and Coimbatore candidates

Job Title: DevOps Trainer

We are seeking a motivated and technically proficient DevOps Trainer with around 2 years of hands-on experience in DevOps practices and tools. The ideal candidate should be passionate about sharing knowledge and mentoring aspiring professionals on CI/CD, containerization, cloud infrastructure, and automation tools. A willingness to quickly ramp up on emerging technologies based on business needs is essential. The role also demands the ability to conduct engaging training sessions across both virtual and in-person formats.

Key Responsibilities:

• Conduct instructor-led training sessions on key DevOps topics such as:
• CI/CD pipelines (Jenkins, GitLab CI, etc.)
• Infrastructure as Code (Terraform, Ansible)
• Containerization (Docker, Kubernetes)
• Cloud Platforms (AWS/Azure/GCP basics)
• Monitoring and Logging tools (Prometheus, Grafana, ELK Stack)
• Design and update curriculum, training material, hands-on labs, and assessments
• Facilitate workshops, bootcamps, and real-world project simulations
• Guide and mentor students or professionals during their capstone projects
• Collaborate with the L&D team to continuously improve training delivery and learner engagement
• Stay updated with emerging tools and practices in the DevOps landscape

Skills & Qualifications:

• Bachelor's degree in Computer Science, IT, or related field
• Around 2 years of industry experience in a DevOps role or equivalent
• Proficiency in scripting (Bash, Python, or Shell)
• Solid understanding of version control (Git), CI/CD pipelines, and automation
• Good exposure to Docker and Kubernetes
• Basic knowledge of any cloud platform (AWS/GCP/Azure)
• Prior experience in training or mentoring (preferred but not mandatory)
• Strong communication and presentation skills
• Ability to explain complex topics in a simple and engaging way

Good to Have:

• DevOps/Cloud certifications (e.g., AWS Certified DevOps Engineer, CKA)
• Experience with LMS platforms and virtual labs
• Familiarity with Agile practices and DevSecOps

Past experience in working with any product start-up is a plus.

● Proficiency in fundamental front end languages such as HTML, CSS, and JavaScript.

● Familiarity with JavaScript frameworks such as Angular JS, React, and others.

● Knowledge of Node.js and frameworks available for it such as Express (recommended).

● Good understanding of asynchronous request handling, partial page updates, and AJAX

● Understanding of REST Services.

● Experience with Redis.

● Familiarity with database technology such as MySQL, MongoDB and Elasticsearch.

● Proficient understanding of serverless programming.

● Proficient understanding of code versioning tools, such as Git.

● Good problem-solving skills.

● Attention to detail.

Location: HSR Layout, Bangalore

Department: Design/Art

Job Summary:

The Design Manager at Contlo will lead our design team, driving the creation and implementation of visual designs across various projects. This role requires a blend of creative vision, leadership, and project management skills to deliver outstanding design solutions that align with our brand's identity and business goals.

Key Responsibilities:

• Lead and manage the design team, fostering a collaborative, innovative, and high-performance culture.
• Develop and implement design strategies that align with the company's objectives and brand standards.
• Oversee the entire design process, from concept to delivery, ensuring high-quality standards are met within deadlines.
• Collaborate with cross-functional teams, including marketing, product development, and external partners, to ensure cohesive branding and user experience across all platforms.
• Provide expert guidance and feedback to designers, helping to develop their skills and careers.
• Stay abreast of industry trends, technologies, and tools to continuously improve the team's output and efficiency.
• Manage and allocate resources effectively, including budgeting for design tools, software, and external contractors as needed.
• Present designs and strategies to stakeholders, incorporating feedback to refine and improve outcomes.

Qualifications:

• Bachelor's degree in Graphic Design, Visual Communication, or a related field. A Master's degree is a plus.
• Proven experience (typically 4+ years) in a design leadership role, with a strong portfolio showcasing a variety of projects.
• Expertise in design software and tools (e.g., Adobe Creative Suite, Sketch, Figma, Canva).
• Strong leadership and team management skills, with a track record of motivating and developing talent.
• Excellent communication, presentation, and interpersonal skills, capable of conveying complex design concepts clearly and persuasively.
• Solid understanding of branding, user experience, and digital marketing principles.
• Ability to manage multiple projects simultaneously, prioritizing tasks to meet deadlines and objectives.
• Creative thinker with strong problem-solving skills and attention to detail.

• Experience in corporate training with minimum 3.5 years of experience in Technical training
• Exposure into C#.Net, ASP.NET, MVC-5, SQL database, HTML-5, CSS-3, Javascript, AngularJS.
• Concepts on ASP.Net MVC and Web API, .Net Core, latest version of .Net core.
• Candidate should have good Presentation, verbal & written communication Skills.
• Good to have Microsoft certification on MVC and implementation knowledge on AngularJs. 

• Preferably 5+ years of experience in LAMP (Linux, Apache, MySQL, & PHP) development stack
• Proven software development experience in PHP and of developing REST (JSON) / SOAP (XML) based web services
• Experience in Cloud platform like AWS/Azure
• Experience with HTML5 / JavaScript (JQuery) / CSS / AJAX / Angular / Yii Framework is preferred
• Experience in caching solutions like Redis and Memcached
• Experience in tools like Ansible, Docker
• Knowledge of source control systems such as GIT is a plus

• Be able to work in cross-function teams
• Write high-quality code per industry standards and best practices
• Test the code for quality assurance, debug identified bugs and resolve issues
• Support in deploying and maintenance of product and services
• Documenting product services progress, status, and manuals
• Participate in team meetings and planning & review sessions