Japanese Language Expert

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.

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.

Qualifications

Strong knowledge in Computer Science and Engineering subjects

Experience in teaching at the undergraduate and graduate levels

Research skills and the ability to guide student projects

Excellent written and verbal communication skills

Proficiency in curriculum development and academic assessment

Master's degree in Computer Science, Engineering, M.Tech or a related field

Experience in the use of digital tools and teaching technologies is an advantage

Commitment to continuous improvement and professional development

About Us

Zentosys Solutions Pvt. Ltd. is a technology-driven IT services company specializing in modern web and mobile application development. We empower businesses worldwide with innovative, scalable, and efficient software solutions. Be a part of our dynamic team and contribute to building impactful digital products.

Responsibilities

• Develop, maintain, and optimize full-stack applications using modern technologies.
• Implement backend logic using Node.js, TypeScript, and frameworks like Express.js or NestJS.
• Build intuitive, responsive, and high-performance frontend applications using React.js, Next.js, or similar frameworks.
• Design and integrate RESTful APIs and ensure seamless communication between front-end and back-end systems.
• Utilize CI/CD pipelines for automated deployment and continuous integration.
• Manage and optimize cloud infrastructure using AWS services.
• Debug, troubleshoot, and ensure application reliability and performance across the stack.
• Design database schemas and manage MongoDB for efficient data handling.
• Collaborate with cross-functional teams, including DevOps, designers, and product managers, to deliver high-quality solutions.
• Stay updated with the latest technologies, frameworks, and best practices in software development.

Requirements

• Experience: 2+ years in full-stack development.
• Strong expertise in Node.js, TypeScript, and backend frameworks like Express.js, NestJS, or Fastify.
• Proficiency in frontend technologies like React.js, Next.js, HTML5, CSS3, and JavaScript (ES6+).
• Hands-on experience with CI/CD pipelines and tools such as Jenkins, GitHub Actions, GitLab CI, or similar.
• Practical knowledge of AWS services, including EC2, S3, RDS, Lambda, and IAM.
• Experience with database schema design and management using MongoDB.
• Strong problem-solving skills with a logical and analytical approach to challenges.
• Familiarity with Git for version control and collaboration in a team environment.
• Excellent communication and teamwork skills to contribute effectively in a collaborative setting.

Preferred Skills

• Exposure to GraphQL for API development.
• Knowledge of Docker and container orchestration.
• Familiarity with Serverless Framework for deploying cloud-native applications.
• Experience with testing frameworks like Jest, Mocha, or Cypress.
• Understanding of state management libraries like Redux, Zustand, or similar.
• Hands-on experience with Terraform or other infrastructure-as-code tools.

What We Value

• Problem Solvers: Professionals who can tackle challenges with creativity and precision.
• Team Players: Individuals who thrive in a collaborative, dynamic environment.
• Growth Mindset: Developers who are eager to learn, adapt, and grow with the organization.

What We Offer

• Competitive salary in the range of ₹6 LPA to ₹15 LPA based on skills and experience.
• Work on diverse and impactful projects for a global clientele.
• A culture that encourages innovation, professional growth, and skill enhancement.
• Flexible working hours and a healthy work-life balance.
• Exposure to cutting-edge technologies and tools.

Job Type: Full-time

Pay: ₹600,000.00 - ₹1,500,000.00 per year

Benefits:

• Provident Fund

Schedule:

• Monday to Friday

Education:

• Bachelor's (Required)

Experience:

• Full-stack development: 2 years (Required)

Work Location: In person

Expected Start Date: 05/02/2025

About us:

Classplus is India's largest B2B ed-tech start-up, enabling 1 Lac+ educators and content creators to create their digital identity with their own branded apps. Starting in 2018, we have grown more than 10x in the last year, into India's fastest-growing video learning platform.

Over the years, marquee investors like Tiger Global, Surge, GSV Ventures, Blume, Falcon, Capital, RTP Global, and Chimera Ventures have supported our vision. Thanks to our awesome and dedicated team, we achieved a major milestone in March this year when we secured a “Series-D” funding.

Now as we go global, we are super excited to have new folks on board who can take the rocketship higher🚀. Do you think you have what it takes to help us achieve this? Find Out Below!

What will you do?

• Discover as well as connect, pitch, and onboard e-learning content creators in the universe
• Own the end to end sales cycle
• Lead initiatives to help the customers understand and imagine the possibilities and potential that our platform provides them
• Show proficiency in conducting live demos and in resolving any technical queries that the customers might have
• Spearhead efforts aimed at mentoring peers, defining our culture, and helping to build a fast-growing team

You should apply, if you

• Bring your A-game: Have a strong business acumen, strong analytical aptitude and a problem-solving attitude
• Are a Mr/Ms. 360: Are multi-tasker, critical thinker, and a tactical executioner
• Bring veteran experience: Have worked with different teams and stakeholders and built strong customer relations. Preferably in high growth start-ups, for a year or longer
• Are a social butterfly: Have excellent communication and interpersonal skills
• Have the fluency we need: The Kannada language is your strong suit.

Early joiners preferred!

Being a Part of the Clan!

At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for!

It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams); you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers! ✊🏼❤️

Are you a go-getter with the chops to nail what you do? Then this is the place for you.

We are looking for a Software Development Engineer (Java Backend) to join our team! As a key member of our engineering team, you will be responsible for the end-to-end development and delivery of our products.

Diverse Hiring: SDE 3 (Java Backend) | 5-8 Y | Bangalore WFO | Females Only |

Prefer qualified candidates from Premium Institutes - NIT / IIT / IIIT / REC / BITS / REC with relevant working from Products / Unicorns alike Flipkart, Amazon, CRED, Swiggy, Zomato, Jupiter, Blinkit, OYO, Ola, Uber, Pine Labs, PayTM,

Scope Of Work:

Design, develop, deliver & maintain highly-scalable, cloud-native products, working with product and design teams.

Ability to ship to production in small testable pieces of code, in quick iterations

A good grasp of scalable software development, with a DevOps mindset

Providing people and technical leadership to your engineering teams

Support in developing and managing companies IT infrastructure

Participate in the hiring of world-class engineers and grow the engineering team

Required Skills & Qualifications:

Must have a deep understanding of both development and operations processes, as well as a strong technical background.

5+ years of experience developing software products - Java.

Demonstrable experience in leading software teams by example.

The technical skills we're looking for are as follows:

i. Electron JS

ii. Fabric JS/canvas

Note: Candidates should have an experience of a minimum of 3 years in the above skills.

Location: Bangalore, Karnataka

What you need to have:

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility