5. FICO (Manager – FICO)

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 looking for a Mid-Level .NET Developer to design, develop, and maintain scalable microservices for enterprise applications. The role involves working on high-performance, reliable systems deployed in containerized environments.

Key Responsibilities:

• Develop and maintain scalable .NET microservices
• Build robust Web APIs with proper validation, error handling, and security
• Write unit and integration tests to ensure code quality
• Design portable and environment-agnostic solutions
• Collaborate with cross-functional teams and client stakeholders
• Optimize performance and implement caching strategies
• Follow security best practices for enterprise applications
• Participate in code reviews and maintain coding standards
• Support deployment and troubleshoot issues in client environments

Must-Have Skills:

Core Technical Expertise:

• 4+ years of experience with .NET Core (3.1+) / .NET 5+ and C# (8+)
• Strong hands-on experience with ASP.NET Core Web API & Entity Framework Core
• Experience building REST APIs and middleware
• Strong understanding of SOLID principles, Dependency Injection, Repository pattern
• Experience with unit testing (xUnit / NUnit / MSTest), Moq, integration testing

Microservices & Deployment:

• Hands-on experience with Docker
• Understanding of microservices architecture & distributed systems
• Experience with configuration management (appsettings.json, IConfiguration)
• Knowledge of NuGet and dependency management

Good-to-Have Skills:

Advanced Technical:

• Experience with .NET 6/7/8, Minimal APIs, gRPC, SignalR
• Advanced EF Core, Dapper, database migrations
• Kubernetes and container orchestration
• Cloud platforms: Azure / GCP / Alibaba Cloud
• Message brokers: Azure Service Bus, RabbitMQ, Kafka
• Databases: PostgreSQL, MySQL, MongoDB, Cassandra
• API Gateways: Azure API Management, Kong

Development & Operations:

• CI/CD tools: Azure DevOps, Jenkins, GitHub Actions
• Monitoring: Application Insights, Serilog, Prometheus
• Security: HTTPS, CORS, input validation, secure coding
• Background services: Hangfire, Quartz.NET

Client-Facing Experience:

• Experience in service-based organizations
• Ability to adapt to multiple domains
• Understanding of industry standards and compliance 

Responsibilities

• Excellent communication skills
• Develop growth strategies and plans
• Proven work experience in business development or sales
• Able to understand client's requirements & provide solutions accordingly
• Eager to learn new things about sales & sales channels
• Research and analyze sales options
• Build and maintain professional networks
• Fast learner and quick thinker
• Cold call to arrange meetings with potential customers to prospect for new business
• Ability to work independently and as a part of team
• Daily planning & reporting to a senior.

Key responsibility areas of a Sr. Copywriter:

1. Develop content ideas and strategies for assigned brands

2. Ensure the smooth execution of content strategies

3. Create high-quality and engaging copies for digital platforms

4. Ensure the content aligns with the brand voice and messaging strategy

5. Develop and implement effective copywriting strategies to meet client objectives and campaign goals

6. Coordinate internally and externally for project completion

7. Conduct research and gather information for existing and new projects

8. Develop content guidelines for all assigned brands

9. Set processes for smooth workflow and adherence to existing structures

We are hiring for Mobile Automation Test Engineer.

Responsibilities

• Design, develop, and maintain automated test scripts using Selenium, Appium, Cucumber, and other testing tools and frameworks.
• Collaborate with developers and quality assurance engineers to identify test cases and prioritize them for automation.
• Execute automated test scripts and analyze test results to identify defects and areas for improvement.
• Maintain and enhance the automation framework to ensure that it meets project needs and remains efficient and effective over time.
• Develop and maintain test plans and test cases to ensure comprehensive test coverage.
• Participate in code reviews and provide feedback on code quality and testability.
• Create and maintain test data and test environments to support automated testing.
• Provide feedback to development teams on software quality and testability.
• Create and maintain documentation for automated testing processes and procedures.
• Create custom automation frameworks to meet the specific needs of the project.
• Design and develop custom libraries and APIs to support automation testing.
• Integrate third-party tools and frameworks as needed to support automation testing.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 6+ years of experience in IT Services and 3+ years in automation testing.
• Expertise in the programming language Java.
• Should have strong experience in Selenium & Cucumber framework.
• Should have a good amount of experience working with Mobile Application testing using Appium
• Excellent analytical and problem-solving skills.
• Good communication skills and ability to work in a team environment.
• Familiarity with Agile methodologies.
• Ability to prioritize and manage multiple tasks and projects simultaneously.
• Experience with version control systems such as Git.
• Familiarity with Windows and Linux environments

Your Tasks:

• Participate in all aspect of operation and application support.
• Work primarily in Java-on-Java Spring and web frameworks like Bootstrap and Vue.js.
• Engage and collaborate across time zones with different front-end and back-end developers.
• Working closely with your teammates on knowledge sharing and experience build-up.
• Drive development best practices with your teammates to deliver high quality solutions. 

  Your profile:

• Bachelor’s degree in computer science, information technology, or engineering with strong communication skills.
• 4+ years of experience building large-scale software applications or web applications
• Strong knowledge of Full-Stack development with Java Spring Framework and established web frameworks Bootstrap, Vue.js, React or AngularJS.
• Experience of different data stores and search engine solutions like Apache Solr or Elasticsearch and designing and implementing API web services (RESTful and SOAP-based)
• Ability to work independently and collaboratively in a multidisciplinary team environment whiles providing operational support capability.

About the Role

We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality. QA engineer responsibilities include designing and implementing tests, debugging, and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)

Responsibilities

Excellent command of Manual Testing and Automation Testing (Any tool).

Good knowledge of UI automation using Selenium or equivalent

Good knowledge in writing advanced SQL queries and data validation techniques Solid knowledge of SDLC and STLC concepts, Functional Testing

Fundamentals Good Experience of working in an Agile environment

and Expected skillset (Good to have)

Experience working with defect management tools like JIRA Well versed with all types of testing artifacts.

About the Role

The Engineering team in Bangalore, India is building products for the Martial Arts

fans across the world. As part of the engineering team, you would be expected to have

deep technology expertise with a passion for building highly scalable products.

This is a unique opportunity where you can impact the lives of people across 150+

countries!

Responsibilities

Own architecture, design, development, and implementation of different

modules/features of the services

Design, develop, deploy and support web applications.

Discover opportunities for performance improvements

Recommend ways to improve reliability, efficiency and code quality

Focus on continuous delivery and reducing complexity

Carry out code reviews and manage pull requests

Build applications based on micro-services architecture.

Requirements

Overall 1~3 years of experience in Backend development.

B. E/B. Tech in CS or equivalent streams from institute of repute (IITs, NITs, BITs,

IIITs or equivalent)

Strong object oriented design skills & knowledge of design patterns

Experience designing & developing distributed systems involving multiple web

services, databases (both SQL and NoSQL), caches, queues, etc. taking into

consideration scalability, availability, fault tolerance, consistency, etc. of the

overall system

Well-aware of and enforces development best practices: Unit Tests, Code Reviews,

Integration Tests, CI/CD, Monitoring, Alerting, etc.