Java Developer

We have an immediate requirement for a Java Developer role in the Pune location. Please find the details below:

Role: Java Developer

Experience: 3–4 Years (Mandatory)

Location: Pune

Joining: Immediate joiners only

Key Responsibilities:

• Develop and maintain scalable and robust J2EE applications
• Follow and implement coding standards within the project
• Integrate with third-party APIs and services
• Work in an Agile environment to design and implement new features
• Support team members in resolving technical issues
• Debug and resolve production issues (code/infrastructure)
• Communicate effectively with team members and product management

Mandatory Skills:

• Strong knowledge of Java and JEE internals (Class Loading, Memory Management, Transaction Management, etc.)
• Expertise in OOPs/OOAD concepts and design patterns
• Hands-on experience with Spring Framework and Web Services
• Basic knowledge of JavaScript, jQuery, AJAX, and DOM
• Good understanding of SQL, relational databases, and ORM (Hibernate/DAO)
• Strong problem-solving skills and communication abilities

Important Note:

• Interview is scheduled for Monday
• Selected candidates are expected to join by Tuesday or Wednesday

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.

Required Skills: CI/CD Pipeline, Data Structures, Microservices, Determining overall architectural principles, frameworks and standards, Cloud expertise (AWS, GCP, or Azure), Distributed Systems

Criteria:

• Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.
• Candidate must be from a product-based organization with a startup mindset
• Must be strong in one core backend language: Node.js, Go, Java, or Python.
• Deep understanding of distributed systems, caching, high availability, and microservices architecture.
• Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
• Strong command over system design, data structures, performance tuning, and scalable architecture
• Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

Description

What This Role Is All About

We’re looking for a Backend Tech Lead who’s equally obsessed with architecture decisions and clean code, someone who can zoom out to design systems and zoom in to fix that one weird memory leak. You’ll lead a small but sharp team, drive the backend roadmap, and make sure our systems stay fast, lean, and battle-tested.

What You’ll Own

● Architect backend systems that handle India-scale traffic without breaking a sweat.

● Build and evolve microservices, APIs, and internal platforms that our entire app depends on.

● Guide, mentor, and uplevel a team of backend engineers—be the go-to technical brain.

● Partner with Product, Data, and Infra to ship features that are reliable and delightful.

● Set high engineering standards—clean architecture, performance, automation, and testing.

● Lead discussions on system design, performance tuning, and infra choices.

● Keep an eye on production like a hawk: metrics, monitoring, logs, uptime.

● Identify gaps proactively and push for improvements instead of waiting for fires.

What Makes You a Great Fit

● 6+ years of backend experience; 1–2 years leading engineers or owning major systems.

● Strong in one core language (Node.js / Go / Java / Python) — pick your sword.

● Deep understanding of distributed systems, caching, high-availability, and microservices.

● Hands-on with AWS/GCP, Docker, Kubernetes, CI/CD pipelines.

● You think data structures and system design are not interviews — they’re daily tools.

● You write code that future-you won’t hate.

● Strong communication and a let’s figure this out attitude.

Bonus Points If You Have

● Built or scaled consumer apps with millions of DAUs.

● Experimented with event-driven architecture, streaming systems, or real-time pipelines.

● Love startups and don’t mind wearing multiple hats.

● Experience on logging/monitoring tools like Grafana, Prometheus, ELK, OpenTelemetry.

Why company Might Be Your Best Move

● Work on products used by real people every single day.

● Ownership from day one—your decisions will shape our core architecture.

● No unnecessary hierarchy; direct access to founders and senior leadership.

● A team that cares about quality, speed, and impact in equal measure.

● Build for Bharat — complex constraints, huge scale, real impact.

Role Description : Senior Java Developer

As a senior developer you will be responsible to manage the software development life cycle from planning to prioritizing to testing and release. Responsibilities includes gathering system and team product requirements, building java modules and testing features before release. Should have hands on experience developing software with agile methodologies and are ready to lead our junior developers.

Responsibilities • Contribute to all phases of development lifecycle. • Planning of API workflow. • Understanding the requirements all the teams involved and planning the development process. • Write well designed, testable, efficient code. • Prepare and produce releases of software components. • Support continuous improvements by investigating alternatives and technologies and presenting these for architecture review. • Designing, implementing, and maintaining java applications that are often high-volume and low latency. • Identify bottlenecks and bugs and advise solutions to these problems. • Develop highly scalable REST APIs to use in our applications. • Guide the team and help them in any complex situations.

Required Qualifications We are looking for individuals who are curious, excited about learning, and navigating through the uncertainties and complexities that are associated with a growing company. Some qualifications that we think would help you thrive in this role are: • Minimum 8+ Years in a Java programming. • Expert hands-on knowledge of latest technology, good exposure to web technologies and open to all technologies like Java, J2EE, Spring Boot, Microservices, Cloud computing, any DB. • Very good exposure to DevOps concepts and tools, Continuous Integration and Continuous Delivery. • Quick learner believes in continuous learning and acts as a catalyst for building the culture within the organization. 

• Analytical thinking skills, problem solving with strong exposure to root causing tools and techniques and ability to come up with solutions in complex situations. • Familiar with various design and architectural patterns. • Bachelor/Masters of CS/IT Engineering, BCA/MCA, B Sc/M Sc in CS/IT

Preferred Qualifications • Deep insights of Java and J2EE internals such as memory management, transaction management, etc. • Skill for writing reusable Java libraries. • Proficient understanding of code versioning tools, such as Git. • Familiarity with build tools such as Ant, Maven, and Gradle. • Ability to work without guidance and under tight deadlines. • Result oriented and focused on meeting deliverable timelines. • Teamwork and willingness to listen to others. • Communicate effectively • Good knowledge of microservices. • Expertise in developing enterprise level web applications and RESTful APIs using Microservices with demonstrable production-scale experience. • Strong background working with Linux/Unix environments. • Working experience in industry standard protocols related API security. • Clear understanding of web services and SOA related standards like REST/OAuth/JSON.

Location: Bengaluru/Udupi (NO WORK FROM HOME OPTION)

Notice Period: Immediate Joining or Maximum 1 Month

Lead Software Engineer - Backend

It is evolving the way people discover the world by connecting them with exceptional experiences in their city at the push of a button. We are building a magical platform that gets everyone to head out and have fun in a matter of seconds; no matter where you are and what you want to do. We are combining a delightful product experience, data-driven decisions, sophisticated supply side logistics network, and world-class operations to solve a huge basic human problem: how do we have a good time?

We’re growing rapidly with over $200M in annualized sales, 150,000 monthly transactions and profitable unit economics. We are backed by some of the finest investors in Silicon Valley & India. 

We like to solve real-world problems in the simplest, most elegant manner possible. We’re looking for a QA Lead with the ability and passion for building solutions to people-centered problems that are created at the intersection of human behavior and technology. You should also be capable of building and mentoring a fast-growing passionate, young, and talented team. We love folks who have a sense of humor and know how to have fun.Dream, build and iterate. That's our mantra. Because good just isn't good enough.

👩‍💻 The Role

• Full responsibility of designing and building core modules on the application and infrastructure layer.
• Lead a fast-growing team of young, passionate, talented and fun loving superstars.
• Solve challenging architectural and design problems.
• Get your hands dirty with clustering, replication, databases, build systems and infrastructure automation etc.
• Be responsible for building concurrent, performant and scalable services which will power the entire Headout ecosystem.
• Build and contribute to open-source libraries and components.

🌟 Our Dream Engineer

• A penchant for learning and building with new technologies and frameworks.
• You love working with people and have worked in a lead position in the past.
• A knack for writing the most performance optimized code along with it being modular and scalable.
• No challenge is too big to solve; love thinking product and excited to ideate & build stuff all by yourself.
• You're interested in being an early employee at a growing company, with the influence and responsibility that entails.
• You have broad and deep knowledge across a variety of contemporary technologies.

💝 We like

• Strong CS fundamentals, good working knowledge of classic algorithms and data structures.
• 2+years experience developing server-side technologies using any language or framework.
• Excellent communication, collaboration and people management skills.
• Experience working with Spring, Relational Databases, Concurrent Programming, NoSQL flavors, AWS.
• Experience designing scalable, fault-tolerant systems and databases.
• Experience with setting setting up systems and infrastructure.
• Solid understanding of how the web works and its underlying communication protocols.
• People who can't live without solving that algorithm problem that they just stumbled upon.
• People who will give up anything to squeeze in that last bit-level performance.
• Anything else than can surprise us.
• Nice to Haves: An interest in travel, local experiences & hospitality.

Company Description

KogniVera is an India-based technology consulting and services company that specializes in conceptualization, design, engineering, and management of digital products. The company brings rich experience and expertise to address the growth needs of enterprises in dynamic industries such as Retail, Financial Services, Insurance, and Healthcare. KogniVera has an unwavering obsession with customer success and a partnership mindset dedicated to achieving unparalleled success in the digital landscape.

Role Description

This is a full-time on-site Java Spring Boot Lead role located in Bangalore. The Java Spring Boot Lead will also collaborate with cross-functional teams and stakeholders to identify, design, and implement new features and functionality.

Fulltime role

Location: Bengaluru-Onsite, India fulltime, Onsite.

Skills Set Required: 5+ years of experience.

Very Strong at core java.

Having sound knowledge in spring boot.

Hands on experience in creating framework.

Cloud knowledge.

Good understanding of Design patterns.

Must have worked on at least 2-3 project.

Please share your updated resume and the details.

mgarg@#kognivera.com

Website : https://kognivera.com

JAVA SPRING BOOT DEVELOPER - Immediate Joiners

Work Experience: 4-7 years

Work location: Hyderabad

Must Have Skills: Spring Boot

Desired Candidate Profile

Proficiency in core Java & Spring framework

Expertise in Web Service technologies.

Excellent knowledge in Databases and code integrations such as Postgres SQL, SQL Server, MySQL

Experience with Java Spring Boot, Hibernate Cloud Services, AWS, S3, Server-less lambda functions
Experience with security principles and frameworks
Knowledge of modern authorization mechanisms, such as JSON Web Token and OAuth2 - Familiarity with code versioning tools such as Git, etc.

Essential skills are Core Java/J2EE, functional aspects, Spring Framework, Swagger, Tomcat, SVN, Git, Postman/Newman.

Should have worked in Agile methodologies.

Good object oriented and problem solving skills.

Strong communication skills along with the ability to work in a highly collaborative environment.

Role & Responsibilities

- Design and develop features using Java, Spring, and Hibernate

- Ability to design database schema, develop views and stored procedures

- Maintain existing software systems by identifying and correcting software defects

- Review and analyse business requirements and provide technical feasibility and estimates

- Coordinate the workflow between the UX team and front end developers

Qualification

- 4-7 years of work experience developing Java-based backend applications

- Around 2 year of work experience using Spring Boot, Spring Cloud and Microservices

- Bachelor degree in computer science, or information technology, or other related field of study