Business Acquisition Intern

We are seeking a highly motivated and innovative AI SEO Specialist to join our dynamic marketing team. The ideal candidate will have expertise in search engine optimization, artificial intelligence tools, and content strategy. This role involves leveraging AI-powered platforms to enhance website rankings, drive organic traffic, and improve overall digital visibility.

Key Responsibilities

• Develop and implement effective SEO strategies to improve website rankings and organic search performance.
• Utilize AI tools such as ChatGPT, Surfer SEO, Jasper, and other SEO automation platforms for keyword research, content optimization, and competitor analysis.
• Conduct comprehensive keyword research, including long-tail and intent-based keywords.
• Optimize on-page SEO elements, including meta titles, descriptions, headings, and internal linking.
• Perform technical SEO audits and collaborate with development teams to resolve issues.
• Monitor website performance using tools like Google Analytics, Google Search Console, SEMrush, and Ahrefs.
• Generate AI-assisted, SEO-friendly content briefs and optimization recommendations.
• Analyze competitors and identify opportunities for growth.
• Stay updated with the latest SEO trends, search engine algorithms, and AI advancements.
• Prepare regular performance reports and present actionable insights to stakeholders. 

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.

Qualifications:

• 8+ total experience in web development with Microsoft technology stack.
• 5+ years of experience in Sitecore CMS
• Experience in Azure, ADO.
• Ability to work independently and collaboratively.
• Worked on large scale Multisite Sitecore projects with lots of customizations.  

Sitecore (Mandatory):

• Sitecore certified
• Experience in Sitecore 9.x and 10.x with SXA.
• Good hands-on using Unicorn/TDS/Sitecore CLI/SVS
• Good hands-on experience with Solr/Solr Zookeeper configuration/customization
• Sitecore administration / security
• Sitecore pipelines / patch configurations / workflow
• Sitecore JSS and Sitecore GraphQL 2-3 years hands-on experience.

Preferred Attributes

• Hands-on experience in Sitecore XM Cloud / SitecoreAI / Sitecore Search.
• Hands-on experience on migrate existing Sitecore XM applications to XM Cloud.
• Hands-one experience in Next JS.

Responsibilities:

• Design and develop web applications using sitecore as Content management Systems.
• Work on implementing third party integrations with existing sitecore solution.
• Develop and program and functionality by using Helix principles, Glass Mapper, Sitecore templates, renderings, and Sitecore marketplace modules.
• Contribute as a team member to design and implement web pages including coding, unit testing, and documentation independently.
• Working with Product Owner and Scrum Master in an Agile environment to improve product delivery.
• Contribute to the community of practice and proactively share knowledge with team members
• Work as cross-functional team player to augment the squad needs as needed
• Collaborates with product owners and development team members to implement front-end POCs from concept to product delivery

Strong Enterprise Data Modeller profile (Modern Data Platforms)

Mandatory (Experience 1) – Must have 7+ years of experience in Data Modeling or Enterprise Data Architecture, with strong hands-on expertise in designing conceptual, logical, and physical data models for enterprise data platforms

Mandatory (Experience 2) – Must have Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar enterprise data modeling tools

Mandatory (Experience 3) – Must have Deep understanding of dimensional modeling (Kimball / Inmon methodologies), normalization techniques, and schema design for modern data warehouse environments.

Mandatory (Experience 4) – Proven experience designing data models for modern data platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse / lakehouse systems.

Mandatory (Experience 5) – Must have strong SQL expertise and schema design skills, with the ability to validate data model implementations and collaborate closely with data engineering teams

Mandatory (Education) – Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Job Summary:

The company is seeking a Senior Graphic Designer (3 - 10 years of experience) to lead and execute creative and compliant packaging designs for our exported pharmaceutical products. This role demands expertise in international packaging regulations, brand consistency, and visual communication for a global market.

Core Responsibility:

Lead all aspects of pharmaceutical packaging design for export, from concept to final artwork, ensuring adherence to diverse international regulatory requirements and brand alignment.

Qualifications:

• Bachelor's degree in Graphic Design or related field.
• 3 - 10 years of proven experience in pharmaceutical packaging design, with exposure to export requirements.
• Strong knowledge of international packaging regulations and guidelines.
• Expertise in graphic design software, including CorelDraw, Adobe Illustrator, and other relevant design tools.

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes Tvarit one of the most innovative AI companies in Germany and Europe. 

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English. 

We are seeking a skilled and motivated Data Engineer from the manufacturing Industry with over two years of experience to join our team. As a data engineer, you will be responsible for designing, building, and maintaining the infrastructure required for the collection, storage, processing, and analysis of large and complex data sets. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives. 

Skills Required 

• Experience in the manufacturing industry (metal industry is a plus)  
• 2+ years of experience as a Data Engineer 
• Experience in data cleaning & structuring and data manipulation 
• ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines. 
• Python: Strong proficiency in Python programming for data manipulation, transformation, and automation. 
• Experience in SQL and data structures  
• Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache and NoSQL databases. 
• Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform. 
• Proficient in data management and data governance  
• Strong analytical and problem-solving skills. 
• Excellent communication and teamwork abilities. 

Nice To Have 

• Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database). 
• Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud. 

• Proven experience as a Quality Assurance Tester or similar role

• Experience in project management and QA methodology.

• Ability to document and troubleshoot errors

• Working knowledge of test management software (e.g. Selenium, appium, Katalon, zika etc.) and SQL

• Understanding Test Requirements and analyzing the Application under Test(AUT)

• Generating Test Cases (Test Scripts) using Selenium Element locators and WebDriver API Commands.

• Enhancing Test cases using Java Programming.

• Debugging Test Cases and Fixing Errors.

• Executing/Running Test Cases

• Defect Reporting & Tracking

• Test Reporting

• Basic Understanding of Functional and Regression Test Automation

• Automation Framework Design & Implementation

• Testing of web and mobile apps (Android and iOS)

• knowledge of Java Programming

• Excellent communication skills

• Analytical mind and problem-solving aptitude.

The candidate will need to demonstrate previous experience of taking a client's requirements and translating them into technical specifications. The candidate will have to have previous examples of how he/she has worked with internal customers and technical peers.

The ideal candidate should have 3 to 5 years’ experience within a web application development environment.

Experience with PHP, HTML, CSS, MySQL, SOAP/REST, JavaScript, AJAX, etc. is a must. Following are the key area we are expecting you to have strong command on:

• Analytical Skills
• Algorithms

Responsibilities and Duties

• Development of software extensions to vTiger CRM/Drupal/WordPress and any other PHP based application
• Development of integration between CRM and ERP systems provided by Target Integration and any other system using their APIs
• Development and maintenance of code in Gitlab (In-house git server)
• Managing tickets and updating them regularly in Redmine (Project and Ticket Management Platform)
• Providing solutions to the pre-sales team on new projects
• Supporting the existing development team

Qualifications and Skills

• Coming up with ideas to help grow the team
• Data Structure
• Data Modelling Concepts
• Object-Oriented Design Principles and Concepts
• MVC – Pattern in Depth.
• Aware of Various other commonly used design patterns like Factory, Abstract Factory, etc.
• PHP, MYSQL, HTML, CSS, JS, JSON, Webservices
• Object-Oriented PHP
• SQL In general, Procedure, triggers, functions, etc.
• Query Designing.
• Thorough understanding of HTTP.
• Version Control (specifical git) and bug tracking software knowledge are important.

Benefits

• Linux system administration experience will be useful
• Experience of working on at least two of Joomla/Drupal/vTiger CRM or Sugar CRM is a must
• Strong understanding of relational database design
• Experience in creating professional-looking web interfaces using CSS and HTML
• Understanding of business processes
• Ideally, they should have worked on CRM/ERP/Accounting applications
• Excellent written and spoken communication skills

Job Type: Full-time