SDE2

ey Responsibilities:

• Design, develop, and maintain microservices using Java (Spring Boot).
• Implement RESTful APIs and ensure integration with front-end and third-party services.
• Work with AWS services such as EC2, ECS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.
• Utilize CI/CD pipelines (Jenkins / GitHub Actions / AWS CodePipeline) for deployment automation.
• Implement security, scalability, and high availability best practices in microservice architecture.
• Collaborate with DevOps, QA, and Product teams to deliver robust solutions.
• Monitor and troubleshoot production issues using AWS CloudWatch / ELK / Prometheus & Grafana.
• Participate in code reviews, design discussions, and agile ceremonies.

Required Skills & Qualifications:

• Strong proficiency in Java 8+, Spring Boot, Spring Cloud, and RESTful APIs.
• Solid understanding of microservices architecture and service discovery / communication patterns (Eureka, Feign, Ribbon, etc.).
• Hands-on experience with AWS Cloud (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudFormation).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficient in RDBMS / NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiar with CI/CD pipelines, Git, and DevOps best practices.
• Knowledge of message brokers (Kafka, RabbitMQ, SQS) is a plus.
• Strong debugging, problem-solving, and analytical skills.

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.

About the Role

We are looking for an experienced Senior Backend Developer to design and build scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in Python/Django, microservices architecture, and cloud technologies, along with strong problem-solving skills and leadership capabilities.

Key Responsibilities

•Design and develop backend services using Django and Python.

•Architect and implement microservices-based solutions for scalability and maintainability.

•Work with PostgreSQL and Redis for efficient data storage and caching.

•Build and maintain RESTful APIs and ensure robust API design principles.

•Implement system design best practices for high availability and fault tolerance.

•Containerize applications using Docker and manage deployments with Kubernetes.

•Integrate with cloud platforms (AWS/Azure) for hosting and infrastructure management.

•Apply security best practices to protect data and application integrity.

•Collaborate with frontend, QA, and DevOps teams for seamless delivery.

•Mentor junior developers and conduct code reviews to maintain quality standards.

Required Skills & Expertise

•Django/Python – Advanced proficiency in backend development.

•Microservices Architecture – Strong understanding of distributed systems.

•PostgreSQL & Redis – Expertise in relational and in-memory databases.

•Docker/Kubernetes – Hands-on experience with containerization and orchestration.

•API Design & System Design – Ability to design scalable and secure systems.

•Cloud (AWS/Azure) – Practical experience with cloud services and deployments.

•Security Best Practices – Knowledge of authentication, authorization, and data protection.

Preferred Qualifications

•Experience with CI/CD pipelines and DevOps practices.

•Familiarity with message queues (e.g., RabbitMQ, Kafka).

•Exposure to monitoring tools (Prometheus, Grafana).

What We Offer

•Competitive salary and benefits.

•Opportunity to work on cutting-edge backend technologies.

•Collaborative and growth-oriented work environment.

Job Summary:

We are looking for an experienced Java Developer with 4+years of hands-on experience to join our dynamic team. The ideal candidate will have a strong background in Java development, problem-solving skills, and the ability to work independently as well as part of a team. You will be responsible for designing, developing, and maintaining high-performance and scalable applications.

Key Responsibilities:

• Design, develop, test, and maintain Java-based applications.
• Write well-designed, efficient, and testable code following best software development practices.
• Troubleshoot and resolve technical issues during development and production support.
• Collaborate with cross-functional teams including QA, DevOps, and Product teams.
• Participate in code reviews and provide constructive feedback.
• Maintain proper documentation for code, processes, and configurations.
• Support deployment and post-deployment monitoring during night shift hours.

Required Skills:

• Strong programming skills in Java 8 or above.
• Experience with Spring Framework (Spring Boot, Spring MVC, etc.).
• Proficiency in RESTful APIs, Microservices Architecture, and Web Services.
• Familiarity with SQL and relational databases like MySQL, PostgreSQL, or Oracle.
• Hands-on experience with version control systems like Git.
• Understanding of Agile methodologies.
• Experience with build tools like Maven/Gradle.
• Knowledge of unit testing frameworks (JUnit/TestNG).

Preferred Skills (Good to Have):

• Experience with cloud platforms (AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines.
• Basic understanding of frontend technologies like JavaScript, HTML, CSS.

We are seeking a highly skilled Backend Developer to join our team and contribute to the development and improvement of both our customer-centric SaaS platform and internal systems. As a Backend Developer, you will be responsible for designing, implementing, and maintaining the server-side logic of our application, ensuring high performance, scalability, and security.

As a Backend Developer with expertise in Java, and PostgreSQL, you will play a critical role in developing and maintaining the backend infrastructure of our SaaS and internal platforms, ensuring its reliability, scalability, and performance. Join our team and be a part of building cutting-edge software solutions that empower our customers and drive business growth.

Responsibilities:

• Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand project requirements and translate them into technical specifications.
• Design and develop server-side logic, APIs, and database schema to support the functionality and performance requirements of our SaaS platform.
• Write clean, modular, and well-documented code using any relevant programming language preferably Java with SpringBoot.
• Optimize the backend systems for maximum speed and scalability, ensuring high performance and responsiveness of the application.
• Implement data storage solutions using PostgreSQL or other relational databases, ensuring data integrity and security.
• Conduct thorough testing and debugging to identify and resolve any issues or bugs in the backend code.
• Stay up-to-date with emerging technologies, industry trends, and best practices in backend development and contribute to the continuous improvement of our development processes.

Requirements:

• Proven work experience as a Backend Developer or similar role, with a focus on server-side development.
• Proficiency in working with relational databases, particularly PostgreSQL, and writing efficient SQL queries.
• Familiarity with SaaS concepts and architecture.
• Experience with API design and development, including RESTful APIs.
• Solid understanding of software development principles, including object-oriented programming, design patterns, and data structures.
• Experience with version control systems, such as Git.
• Strong problem-solving and analytical skills, with keen attention to detail.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory.

We are looking for a passionate and skilled Node.js Developer to join our dynamic team. If you're excited about building scalable and efficient backend applications using modern technologies, we’d love to hear from you!

Responsibilities

Develop and maintain server-side components using Node.js

Design and build scalable RESTful APIs

Ensure high performance and responsiveness of applications

Implement security and data protection measures

Collaborate with team members to define and deliver high-quality software

Write unit and integration tests to ensure software quality

Required Skills

✅ Strong proficiency in JavaScript

✅ Good understanding of Node.js and Express

✅ Experience with NoSQL databases, especially MongoDB

✅ Familiarity with Git and version control workflows

✅ Ability to write reusable, testable, and efficient code

✅ Experience with JWT and modern authorization mechanisms

✅ Knowledge of security and data protection best practices

✅ Strong analytical and problem-solving skills

Job Responsibilities:

Support, maintain, and enhance existing and new product functionality for trading software in a real-time, multi-threaded, multi-tier server architecture environment to create high and low level design for concurrent high throughput, low latency software architecture.

• Provide software development plans that meet future needs of clients and markets
• Evolve the new software platform and architecture by introducing new components and integrating them with existing ones
• Perform memory, cpu and resource management
• Analyze stack traces, memory profiles and production incident reports from traders and support teams
• Propose fixes, and enhancements to existing trading systems
• Adhere to release and sprint planning with the Quality Assurance Group and Project Management
• Work on a team building new solutions based on requirements and features
• Attend and participate in daily scrum meetings

Required Skills:

•  JavaScript and Python
• Multi-threaded browser and server applications
• Amazon Web Services (AWS)
• REST