SDE 2 Backend 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.

• Drive development and delivery of top notch technology solutions to clients efficiently.
• Lead development of implementation plan, logic and modules to embed in client solutions and client discussion ready documents /presentations.
• Lead in designing, implementing, maintaining and updating applications that are often high-volume and low-latency, required for mission critical systems.
• Lead in refining and improving system stability by continuously refactoring and measuring performance.
• Drive development of actionable, clean, maintainable, testable, reusable, extensible codes, including standardization and automation of processes.
• Provide technical and functional guidance to team members through expert knowledge and hands-on support.
• Manage projects, resource utilization, time schedules and deliveries to clients.
• Proactively drive discussions with stakeholders to understand their business requirements, business context and guide team to provide robust actional solutions.
• Effectively engage with stakeholders – create and nurture and deepen relationships. 
• Ensure positive & creative work-environment, culture of collaborations, speak-up, high level of energy & enthusiasm, curiosity to learn and continuous improvement.
• Inspire, engage, motivate and provide constructive feedback to team members to develop their technical & soft skills and fully support their development aspirations.
• Drive researching and conceptualizing solution approaches, new techniques or solution frameworks and author high quality discussion papers.

Qualifications, Skills and Experiences

• BE / BTech / ME / M Tech in engineering or MCA or similar relevant field.
• 2 to 17 years (Junior, Intermediate, Senior Role & we have multiple openings)of relevant hands-on experience and excellent knowledge of Java, Python, SQL, Relational Databases, DB schema or ORM technologies.
• Excellent knowledge and experience of building applications, platforms and services in Java, Python and MS SQL or at least two of them.
• 5 + years of experience of managing projects, team and stakeholders.
• Knowledge and experience of agile methodologies.
• Excellent communication and inter-personal skills.
• Experience of working in a fast-paced environment and make quality decisions in moderately to high ambiguous work environment.
• Previous work experience in financial services, especially, capital markets is preferred.

Apply Link - https://tally.so/r/wv0lEA

Key Responsibilities:

1. Software Development:

• Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
• Contribute to the development of micro services, APIs, or UI components as per the project requirements.

1. System Architecture:

• Collaborate and design and enhance system architecture.
• Analyse and identify opportunities for performance improvements and scalability.

1. Code Reviews and Mentorship:

• Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
• Mentor and support junior developers, fostering a culture of learning and growth.

1. Agile Collaboration:

• Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
• Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.

1. Problem-Solving:

• Investigate, troubleshoot, and resolve complex issues in production and development environments.
• Contribute to incident management and root cause analysis to improve system reliability.

1. Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.
• Propose and implement improvements to existing codebases, tools, and development processes.

Qualifications:

Must-Have:

• Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Technical Skills:
• Strong proficiency in [programming languages/frameworks/tools].
• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
• Understanding of data structures, algorithms, and system design principles.

Nice-to-Have:

• Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Knowledge of database technologies (SQL and NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.

What You will do

● Create beautiful software experiences for our clients using design thinking, lean and agile methodology.

● Work on software products designed from scratch using the latest cutting edge technologies, platforms and languages such as JAVA, python, Javascript, GoLang and Scala.

● Work in a dynamic, collaborative, transparent, non-hierarchical culture.

● Work in collaborative, fast-paced and value-driven teams to build innovative customer experiences for our clients.

● Help to grow the next generation of developers and have a positive impact on the industry.

Basic Qualifications

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as JAVA, Python, Javascript etc.

● Server-side development experience mainly in JAVA, (Python and nodeJS can be considerable)

● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS or Jquery etc. are good to have.

● Passion for software engineering and follow the best coding concepts. ● Good to great problem solving and communication skills.

Nice to have Qualifications

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with devops, continuous integration & deployment.

● Exposure to big data technologies, Machine Learning and NLP will be a plus.

Benefits

● Competitive salary.

● Work from anywhere.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID).

Location

Remote - work from anywhere

• HTML/CSS/ES6 Javascript, Java 8 and any Java based web framework
• Adobe experience Manager (AEM) Apache Sling, JCR, OSGI
• Good knowledge in Apache Sling framework
• Good knowledge in Java content repository API
• Good knowledge in Apache Jack rabbbit framework
• Knowledge of OSGI and Declarative Services
• Strong understanding of REST Principles and Hands on experience REST based API  development
•  Knowledge of Patterns and good practices to design and develop quality and clean code
• Experience in Pair programming and code reviews
• Experience with testing at all levels unit, integration, functional and performance
• Experience in Agile Project (Scrum or SAFe) execution is a must
• Familiarity with git, basic git branching strategies, working in a peer-reviewed  environment,able to code to existing patterns/styles
• Familiarity with task management, bug tracking and wiki-based documentation tools like Jiraand confluence

• AEM BE developers must have modern ES6 javascript experience as well as java developer experience
• Must be comfortable working with AEM workflows, scheduled jobs, creating/modifying jcr
• nodes via java code, and accessing REST endpoints via java code
• Ability to create custom AEM CQ components and a good exposure to both core and
•  foundation components that can be inherited in AEM
• Good understanding of AEM web development framework using Apache Sling
• Create multiple OSGI Bundles in the AEM stack based on the requirements of the Project

Expereince: 3-5 years

Domain: SQL server/SSIS/Cloud technology

Good Knowledge in Creating new tables in database.

Using Triggers, trunket,delete,view,etc

Job Title : Sr Java Developer

Job Description 

We are seeking a well experienced full stack Java developer for our product. As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs. 
  Roles and responsibilities? 

• Design, develop and implement software programming applications.
• Build highly scalable product.
• Participate in gathering business requirements and assessing existing architectures and resources.
• Work with application development team in delivering the project and deliverable within time and with good quality.
• Perform unit testing, oversee quality assurance of applications through system testing.
• Establishes processes for performance and conducts code review.
• Manage and mentor junior members of the team on good coding practice

Skills and experiences would I bring into this role? 

1. E/ B.Tech / MCA in computer science or a related field
2. 4+ Years of Java/J2EE work experience.
3. Object-Oriented design, patterns, algorithms, data structures
4. Well knowledge about Spring Hibernate framework.
5. Exposure to React JS / Angular JS.
6. Experience with SQL/No-SQL database technologies – MySQL, Mongo dB, Cassandra, Redis, PostgreSQL, etc.
7. Experience in Web services (REST or SOAP)
8. End to end web development experience is highly preferred
9. Good understanding of unit testing methodologies.
10. Good analytical and communication skills
11. Startup work culture mindset.