Platform Development Lead

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.

ROLES AND RESPONSIBILITIES:

You'll work closely with our team to implement best practices, improve our architecture, and create a high-performance engineering culture. Over a 6–9-month period, you'll also immerse yourself in game development, Unity, and C# to become a well-rounded technical leader in the gaming space.

• Drive maximum development velocity through direct involvement in development sprints, ensuring developers work as efficiently and effectively as possible.
• Lead and mentor a team of engineers, fostering a culture of technical excellence and continuous improvement.
• Drive architectural decisions that ensure scalable, maintainable, and high-performance game products.
• Foster a high-performance engineering culture aligned with ambitious goals, accountability, and proactive problem-solving.
• Implement and enforce engineering best practices (e.g., code reviews, testing, documentation) and the adoption of new tools, technologies including AI, and methodologies to optimize team efficiency.
• Transition our team to a high-performance culture aligned with our ambitious, venture-backed goals.

IDEAL CANDIDATE:

• 8+ years of software engineering experience with at least 3+ years in a technical leadership role
• Ability to reasonably estimate and plan tasks and features.
• Strong programming fundamentals and hands-on coding abilities
• Strong grasp of software architecture, TDD, code reviews, and clean coding principles.
• Proficient at profiling games to identify bottlenecks and performance issues.
• Experience building complex, scalable software systems
• Proven track record of driving architectural decisions and technical excellence
• Experience mentoring and developing engineering talent
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to explain complex technical concepts
• Experience with agile development methodologies
• Bachelor's degree in computer science, Engineering, or equivalent practical experience

PERKS, BENEFITS AND WORK CULTURE:

• We foster a culture of continuous learning.
• We value talent and the ability for significant self-improvement.
• Honest feedback and transparency across all departments allow for rapid skill development.
• You will have the opportunity to work on an exciting new game development product with complete autonomy.

We are seeking a skilled Java Developer with hands-on experience in Java and Spark to build scalable data processing solutions. You'll contribute to high-performance data pipelines and analytics platforms in a dynamic Agile environment.

Key Responsibilities

• Design and develop Java applications integrated with Apache Spark for ETL processes, data transformations, and analytics.
• Build and optimize Spark jobs (Spark SQL, DataFrames, Streaming) for large-scale data processing.
• Collaborate with data engineers and analysts to implement robust data workflows.
• Write clean, maintainable Java code following best practices (Spring Boot, Microservices preferred).
• Perform code reviews, unit testing, and contribute to CI/CD pipelines.
• Troubleshoot and optimize Spark performance for production workloads.
• Document technical solutions and mentor junior developers.

Required Skills & Qualifications

• 4-7 years of hands-on Java development experience.
• Strong expertise in Apache Spark (Spark Core, Spark SQL, PySpark basics).
• Proficiency in Java 8/11+ with multithreading and collections frameworks.
• Experience with data processing (ETL, data pipelines, big data).
• Familiarity with build tools (Maven/Gradle) and version control (Git).
• Strong problem-solving skills and Bangalore location availability.
• Excellent communication skills for cross-team collaboration.

Good to Have

• Experience with Snowflake for cloud data warehousing.
• Knowledge of DBT (Data Build Tool) for analytics engineering.
• Python scripting for data manipulation and automation.
• Exposure to AWS/GCP/Azure cloud platforms.
• Familiarity with Kafka, Airflow, or containerization (Docker/Kubernetes).

Job Title: Backend Developer

Experience: 2–7 Years

Location: On-site – Bangalore

Employment Type: Full-Time

Company: Pepsales AI (Multiplicity Technologies Inc.)

About Pepsales

Pepsales AI is a real-time sales enablement and conversation intelligence platform built for B2B SaaS sales teams. It empowers sellers across every stage of the sales cycle—before, during, and after discovery calls—by providing actionable insights that move deals forward. 

• For Account Executives: Pepsales AI transforms the discovery process, ensuring objective deal qualification and frictionless handoffs to solution engineers—enabling AEs to focus on winning, not chasing.
• For Solution Engineers and Consultants: It elevates demo experiences by delivering real-time buyer context and actionable insights, ensuring every interaction is highly personalized and impactful.
• For Sales Leaders: It provides enterprise-grade intelligence across forecasting, pipeline health, team performance, coaching, and the authentic voice of the customer—empowering data-driven decision-making at scale.

With Pepsales AI, sales teams run sharper meetings, accelerate deal cycles, and close with confidence.

Role Overview

We’re seeking a passionate Backend Developer to join our fast-paced team in Bangalore and help build and scale the core systems powering Pepsales. In this full-time, on-site role, you’ll work on high-impact features that directly influence product innovation, customer success, and business growth. 

You’ll collaborate closely with the founding team and leadership, gaining end-to-end ownership and the chance to bring bold, innovative ideas to life in a rapidly scaling startup environment

Key Responsibilities

• Design, develop, and maintain scalable backend systems and microservices.
• Write clean, efficient, and well-documented code in Python.
• Build and optimize RESTful APIs and WebSocket services for high performance.
• Manage and optimize MongoDB databases for speed and scalability.
• Deploy and maintain containerized applications using Docker.
• Work extensively with AWS services (EC2, ALB, S3, Route 53) for robust cloud infrastructure.
• Implement and maintain CI/CD pipelines for smooth and automated deployments.
• Collaborate closely with frontend engineers, product managers, and leadership on architecture and feature planning.
• Participate in sprint planning, technical discussions, and code reviews.
• Take full ownership of features, embracing uncertainty with a problem-solving mindset.

Required Skills & Qualifications

• 2–7 years of backend development experience with a proven track record of building scalable systems.
• Strong proficiency in Python and its ecosystem.
• Hands-on experience with MongoDB, Docker, and Microservice Architecture.
• Practical experience with AWS services (EC2, ALB, S3, Route 53).
• Familiarity with CI/CD tools and deployment best practices.
• Strong understanding of REST API design principles and WebSocket communication.
• Excellent knowledge of data structures, algorithms, and performance optimization.
• Strong communication skills and ability to work in a collaborative, fast-paced environment.

What We Value

• Excitement to work on cutting-edge technology and platforms , helping redefine how businesses engage and convert customers.
• Thrives in a dynamic startup environment that values diversity, rapid innovation, and a growth mindset—adapting to change, challenging the status quo, and making a real impact.
• Passion for ownership beyond coding, contributing to product strategy and innovation.

Why Join Pepsales?

• Direct access to founders and a voice in high-impact decisions.
• Opportunity to shape a next-gen AI SaaS product transforming sales worldwide.
• Exposure to cutting-edge technologies in a rapidly growing startup.
• Ownership-driven culture with fast career growth and learning opportunities.
• A collaborative, innovation-driven environment that values creativity and problem-solving.

FirstFiling is a FinTech startup that is managed, operated, and driven by Chartered Accountants, Company secretaries, IT engineers, and Lawyers. We provide registration and financial compliance services to businesses and individuals across India.

Our aim is to simplify the lives of people by helping individuals and businesses with mandatory compliances, filings, and statutory requirements while promoting financial literacy among the masses. 

Role: Backend Developer (2 openings)

Excellent programming skills in C/C++ and Python
Need experience on cloud/Virtualization experience.
Strong working experience in developing application on Linux 
Experience of working with multi-threading, IPC and socket programming is must.
Familiarity with OS concepts like memory management, scheduling etc. is desirable.
Familiarity with TCP/IP protocol stack is desirable
Knowledge of Linux networking stack including conceptual understanding of IPsec, iptables, conntrack, bridging, policy based routing etc. is desirable
Familiarity with container technology
Aware of Agile Methodologies, CI/CD methods
Experienced with all phases of project in development, testing and deployment and management of enterprise solutions.
Excellent verbal written communication skills.
Self-motivation and the ability to work under aggressive timeline is must.
Strong problem-solving skills and very good time management skills

 Core Java developer responsible for building Java applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated design, and product quality are essential.

Responsibilities:
•Translate application storyboards and use cases into functional applications.

• Design, build and maintain efficient, reusable, and reliable Java code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs and devise solutions to these problems.
• Help maintain code quality, organization, and automatization.

Skills Needed:

• Java, JPA, Servlets, JAX/RS, JUnit
• Fullstack : Node/Angular/React
• Algorithm,Design Patterns, Data Structures
• TomCat, Wildfly
• MySQL, PostgreSQL
• HTML, JavaScript, jQuery,
• Mobile exposure: Cordova/PhoneGap
• Exposure in E-Commerce or Product based domain
• NoSQL exposure