digital marketing Intern

Review Criteria

• Strong Graphic Designer Profile, with a focus on Marketing / branding works
• 3+ years of experience in graphic design within B2C companies working across print and digital media
• Proven experience designing marketing collaterals (brochures, flyers, banners, standees, event signage, and sponsorship assets) and digital creatives for social media and campaigns
• Expertise in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and Figma for design execution and collaboration.
• Strong understanding of brand identity, visual hierarchy, and lead-generation design principles — ability to convert marketing objectives into impactful visuals.
• Demonstrated portfolio including both print/event assets and digital/social creatives that show consistency, storytelling, and creativity.
• BDes / MDes from Tier-1 College (NID, IIT, NIFT) OR Top B2C Product Companies (preferred fintech)

Preferred

• Experience collaborating with marketing teams for on-ground events, sponsorships, and brand partnerships (designing assets for physical presence like booths, city events, etc.).
• Strong communication and collaboration with product, marketing, and growth teams; ability to take ownership from concept to delivery

Job Specific Criteria

• CV Attachment is mandatory
• Portfolio is mandatory
• What's your current company?

Role & Responsibilities

As a Graphics Designer, you will be responsible for creating stunning visuals across a wide range of media including digital, print, and video content. You'll collaborate closely with the marketing, content, and creative teams to bring our brand vision to life while ensuring consistency across all touchpoints. Your work will help shape the visual identity of the brand and engage our target audience in meaningful ways.

What will you bring-

• 3-7 years of design and work experience in visual design, including creating graphics and video content for digital and print media.
• Skilled in apt design tools like Adobe Suite - Photoshop, Figma, Illustrator, Premier Pro, and After Effects with an eye for composition, color, design, space design, and details.
• Proven ability to create both static and motion-based ads (e.g., GIFs, Lottie animations)
• Strong portfolio showcasing a range of digital creative work, including examples of ad integration in digital environments.
• Use data - Check CTRs and revamp design basis the learnings.
• Manage multiple design projects simultaneously, ensuring timely delivery and high-quality outcomes.

Ideal Candidate

• Use your creative abilities to understand and decode briefs from marketing managers and bring campaigns to life through innovative ideas and design
• Take complete design ownership towards multiple small and big design campaigns that come your way
• You think outside the box, unbound by limitations or doubt, always pushing the boundaries of what's possible.

What we value-

• Having a great taste/intuition is important to move fast.
• You take the shot like an artist - You decide fast and deliver right
• You are the CEO of what you do - You show ownership and make things happen.
• You own the overall experience including copy, graphics, etc.

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.

🚀 Hiring: Data Engineer ( Azure )

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

• Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)
• Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing
• Develop Structured Streaming pipelines with watermarking, late data handling & restart safety
• Implement declarative pipelines using Lakeflow
• Design idempotent, replayable pipelines with safe backfills
• Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)
• Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications
• Package and deploy using Databricks Repos & Asset Bundles (CI/CD)
• Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

1. Databricks & Delta Lake (Advanced Optimization & Performance Tuning)
2. Structured Streaming & Autoloader Implementation
3. Databricks SQL (DBSQL) & Data Modeling for Analytics

About Us

SSC Control Pvt. Ltd. brings 59 years of experience delivering innovative electrical and automation solutions. Our deep industry knowledge enables us to solve real-world challenges across sectors.

Our Mission:

“Empowering Industries, Transforming Nations with Advanced Automation & Electrification Solutions.”

We help customers achieve operational excellence through cutting-edge products and services in industrial automation, energy management, supply chain optimization, and electrical systems.

We’re looking for driven and passionate Sales Engineers to join our growing team!

As a Sales Engineer, you’ll play a key role in expanding our market presence, providing technical solutions, and nurturing strong client relationships.

🔍 Position Details:

Role: Sales Engineer / Sr. Sales Engineer

Experience: 1–10 years

Education: BE/ME in Electrical Engineering

Salary Range: ₹25,000 – ₹60,000/month (based on experience & expertise)

Location: Vadodara, Ahmedabad, Rajkot

✅ Key Requirements:

Experience in industrial sales – preferably OEM or project sales in machine building

Strong technical acumen and excellent communication skills

📩 How to Apply:

If you're excited about combining technology with sales to drive innovation, we’d love to hear from you!

Please send your resume and a short introduction to:

About Potentiam

Potentiam helps SME companies build world-class offshore teams. Our model is our locations and your dedicated staff under your control. Potentiam have offices in Iasi in Romania, Bangalore and Cape Town, home to large liquid pools of offshore talent working for international companies. Potentiam's management team have had over 15 years' experience in building offshore teams, and have specialist functional expertise to support the transition offshore in technology, finance, operations, engineering, digital marketing, technology and analytics. For decades corporations' scale has enabled them to benefit from the cost and skills advantage of offshore operations. Now SME companies can enjoy a similar benefit through Potentiam without any upfront investment.

Location : Bangalore ( Hybrid)

Key Responsibilities:

• Implement and support Microsoft Dynamics NAV V5 or other versions.
• Deliver expertise in Business Central modules.
• Create and maintain technical design documents.
• Provide consultancy and resolution support on ticket escalations.
• Collaborate with business stakeholders to understand and map business processes.
• Participate in implementation activities and manage RFCs (Request for Changes).
• Support and advise on finance, manufacturing, and warehousing functionalities.
• Engage with users on M365, MS Teams, and SharePoint environments.

Must-Have Skills:

• Proficiency in Microsoft Dynamics NAV V5 or other versions and Business Central modules.
• Experience in Manufacturing/Warehousing domains
• Strong skills in creating Technical Design Documents
• Deep understanding of business processes
• Hands-on with Implementation & RFC handling
• Prior experience in consultancy on ticket escalations
• Familiarity with M365, MS Teams, SharePoint

Good-to-Have Skills:

• Knowledge of Events and Extensions in Dynamics
• Certifications or experience with Power Platform
• Installation and configuration experience
• Exposure to 3rd party products and integration
• Additional experience in Manufacturing/Warehouse operations
• Repeated hands-on usage or support of M365, MS Teams, SharePoint

Benefits and Perks

• Health Insurance
• Referral Bonus
• Performance Bonus
• Flexible Working options

Job Title: Senior QA Engineer – Manual Testing (Hardware Focused)

Location: Navi Mumbai (Only local candidates from Mumbai/Navi Mumbai will be considered)

Work Mode: 5 Days Working | Work From Office

Experience Required: 5+ Years

Notice Period: Immediate Joiners or Candidates Who are already serving or served notice period.

About the Role:

We are looking for an experienced and detail-oriented Senior Manual QA Engineer with strong proficiency in hardware-based and emulator-driven manual testing. The ideal candidate will also possess 1–2 years of hands-on experience in Java, ideally for scripting or basic automation tasks. This role is ideal for someone with a background in hardware testing looking to contribute to highly integrated systems involving both hardware and software components.

Key Responsibilities:

• Design and execute manual test cases focused on hardware-integrated systems, embedded environments, and emulators.
• Translate complex system requirements and user stories into well-structured, actionable test cases.
• Plan and maintain comprehensive test documentation ensuring traceability and thorough coverage.
• Identify, document, and follow up on bugs and inconsistencies across releases and change requests.
• Collaborate with development and hardware teams to ensure robust system validation across interfaces.
• Utilize Java (1–2 years' experience) to support test scripting or automation where applicable.

Must-Have Skills:

• Manual Testing Expertise: 5+ years in QA with a primary focus on hardware/manual testing.
• Hardware & Emulator Testing: Proven experience in testing physical devices, hardware components, or emulators.
• Java Scripting: 1–2 years of experience in Java for test scripting or automation utilities.
• Proficiency in test case design, defect tracking (e.g., JIRA), and understanding of testing life cycle models.
• Exposure to DevOps practices, CI/CD pipelines, and cloud platforms like AWS.
• Hands-on experience with SQL and working knowledge of databases.

Preferred Skills:

• Experience with Python or other test automation frameworks.
• Testing certifications (ISTQB, CP-SAT, CP-MAT, etc.)
• Familiarity with location-based technologies (GPS, mapping, navigation systems).
• Strong analytical mindset with excellent communication and collaboration skills.

We are looking for Freelance/Contract IT Recruiters with a minimum of 2 years of industry experience to join our team immediately.

Requirements:

Experience in handling Contract, C2C and FTE positions in IT

Strong understanding of the end-to-end IT recruitment process

Ability to work in a fast-paced, target-driven environment

Excellent Communications skills 

What We Offer:

Fixed Salary + Incentives

Opportunity for a full-time hire after 6 months (based on performance)

• Positive personality
• Excellent communication skills
• Fluency in English