Cybersecurity Agent Developer

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 a tech venture which provides Product Engineering, QA Automation, Infrastructure, Data, and Market Research services.

Technical Proficiency : 
Must have : 

• Strong development experience in Python in the environment of Unix/Linux/Ubuntu

• Strong practical knowledge of Python and its libraries.

• Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.

• Good knowledge of CI/CD and DevOps practices

• Good Experience of Python with Django/ Scrapy/ Flask frameworks.

• Good Experience in Jupyter/ Docker/ Elastic Search, etc.

• Solid understanding of software development principles and best practices.

• Strong analytical thinking and problem-solving skills.

• Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
  
  Good to have : 

• Expected to have migration experience from one version to the other, as this project is about migration to the latest version.

• Preferred if had an OpenEdx platform experience or any LMS platform. 

   

3 years Minimum Experience Required (Vacancies 5)

Location:- Chandigarh IT Park (WFO)

Shift Timings:- UK Shift

Responsibilities:

• Develop, test, and maintain robust and scalable Python applications.
• Work collaboratively with cross-functional teams to design and implement new features.
• Ensure the performance, quality, and responsiveness of applications.
• Implement server-side logic, database integration, and system architecture.
• Choose and work with one of the following frameworks: Flask, Django, or Fast API.
• Utilize databases such as SQL, Post SQL, or MongoDB to support application development.
• Demonstrate proficiency in Linux or Ubuntu server environments.
• Knowledge of containerization tools, particularly Docker, for deployment and scalability.
• Implement and optimize caching strategies using Redis or Celery (a plus).
• Participate in the planning and implementation of Continuous Integration/Continuous Deployment (CI/CD) processes.
• Stay updated on industry trends and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Python Developer with 3-5 years of hands-on development.
• In-depth knowledge of at least one of the following frameworks: Flask, Django, or Fast API.
• Strong expertise in databases such as SQL, Post SQL, or MongoDB.
• Familiarity with Linux or Ubuntu server environments.
• Proficiency in containerization tools, particularly Docker.
• Experience with Redis cache or Celery is a strong plus.
• Understanding of CI/CD processes and tools.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to thrive in a fast-paced and dynamic work environment.

WHAT YOU’LL BE DOING: 

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement. 
• Collaborate with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. 

• Develop ideas for new programs, products, or features by monitoring industry developments and trends. 
• Record data and report it to proper parties, such as clients or leadership. 
• Participate in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. 
• Take the lead on projects, as needed. 
• Be involved and participate in the overall application lifecycle. 

• Build high-quality reusable code that can be used in the future. 
• Develop functional and sustainable web applications with clean codes. 
• Conduct UI tests and optimize performance. 
• Manage cutting-edge technologies to improve applications. 

QUALIFICATIONS: 

• Bachelor’s degree in Computer Science, Computer Programming or relevant field. Master’s Degree in a related field is preferred. 
• 5-7 years of relevant experience 
• Must be an expert programmer, skilled at computer languages such as HTML, C+++, C#, PHP, Python and Java. 
• Must understand Spring Core, Spring Boot, Spring MVC, Spring Data, JMS, Mysql, Redis, CouchDb, Micro Services, Docker, Kubernetes 
• Must be able to interpret and follow instructions related to the ultimate functionality of our IT-based product 

• Familiarity with front-end languages such as HTML, JavaScript and CSS 
• Must be comfortable with technology architecture and how a computer and its software functions. 
• Deadline driven, organized and understand how people view and understand content on the front-end 
• Proven experience in highly complex environments 
• Strong technical documentation skills 

• An ability to solve multifaceted technical issues in a fast-paced environment 
• Self-motivated and accountable for your work 
• Passionate about learning and continuous improvement 
• Excellent written and verbal communication skills 
• Ability to work overtime 

• Develop new features and improve existing code in C++, specializing in the iOS/Android platforms.
• Has experience with working on huge codebases and comfortable writing and debugging multi-threaded & asynchronous code in Android and the native C++ libraries.
• Understands the resource constraints of mobile devices and implements accordingly robust and efficient solutions with respect to CPU, memory and battery life.
• Be customer-focused and unafraid to challenge the status quo

• Work as part of a dedicated, high-energy team to develop code that spans multiple products.

• Maintain exceptional development standards, especially related to performance, robustness, and testing.

• Support other development teams, build robust relationships and effectively articulate complex ideas.

• Proactively learn new languages, libraries, and platforms as needed. Adapt quickly to changing requirements.

• Activity planning and estimations
• Participate in the design and architecture of the overall product and lead the same for your features.
• Study upcoming technologies, analyze and propose how they can be incorporated to improve the existing product.
• Create high & low-level design artifacts.
• Code Reviews
• Mentoring Android developers in the team
• Develop document solutions for close to a million Acrobat Android users 
• We are looking for you if your answer to the following questions is YES

• Are you interested to be part of a highly collaborative team developing next-generation document solutions?
• Have you developed mobile applications having complex UI and high performance?
• Do you like to solve problems and possess an aptitude for analytical troubleshooting?

Job Description:
Requirements:

• BS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field with 3+ years experience programming with at least one of the following languages:Java, C++, C#, Python, Go, or Perl;

OR 

• MS in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a closely related computer technical field 2+ years experience programming with at least one of the following languages: Java, C++, C#, Python, Go, or Perl.

ALSO 

• Minimum 3 years of experience building applications using at least one of the following: web application technologies including: HTML, CSS, or Javascript; OR Databases, for example: Mysql, Mongo, ora similar program; OR a collection of systems connected and communicating via a network connection
• Minimum 1 year of experience mentoring more junior Engineers
• Significant experience with large scale, high-performance systems