Tech Lead - Java/AWS

Job Title : Java Developer (Walk-In Interview – Gurgaon)

Experience : 3+ Years

Location : Gurgaon (Work from Office)

Interview Mode : 1. Virtual 2. Walk-In

Skills Required : Java, Spring Boot, Multi-threading, PostgreSQL, Redis

Job Description :

We are hiring Java Developers with expertise in Spring Boot, Multi-threading, PostgreSQL, and Redis.

Key Responsibilities :

• Develop and maintain Java-based applications with a strong focus on Spring Boot.
• Implement multi-threading and optimize application performance.
• Work with PostgreSQL for efficient data management.
• Utilize Redis for caching and performance enhancement.
• Collaborate with cross-functional teams to design, develop, and deploy scalable applications.

Technical Skills:

✅ Java (3+ Years) – Strong coding and problem-solving skills.

✅ Spring Boot – Experience in building microservices-based applications.

✅ Multi-threading – Knowledge of concurrency and thread-safe programming.

✅ PostgreSQL – Database design, optimization, and query performance tuning.

✅ Redis – Experience with caching mechanisms for high-performance applications.

Eligibility :

• 3+ Years of hands-on experience in Java development.
• Bachelor's/Master’s in Computer Science or a related field.
• Strong analytical and debugging 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.

Hi,
I am having an ajob opportunity for the role of "Node Js developer" permanent work from home.

Please find the below JD 

Responsibilities:

 We are looking for a candidate who possesses a passion for pushing technologies to the limits and will work with our team of talented engineers to design and build the next generation applications. 

- You will work closely with our product and design teams to build the backend engine and implement web services using the latest principles.

- Candidates should have working knowledge of NodeJS latest versions. Candidates with additional knowledge of technologies like JAVA, CAKEPHP will be preferred more.

Skills Required :

NodeJS, REST API, JSON Data Format, Integrating Third Party Libraries, MYSQL/MONGODB Databases and similar.

- Affinity for backend technologies.

- Experience in writing modular/reusable code using node frameworks

- Deep technical Knowledge and Good problem solving abilities.

- Good communication skills and solid interpersonal skills.

- Team Management skills is must

-Qualification Required : MCA/B.Tech Candidate Only

Responsibilities

• Use your skills in OOP, OOAD, and testing to design and develop robust and scalable software.
• Work in a fast-paced environment with a focus on writing production-quality code and tests.
• Maintain minimal yet essential engineering documentation to complement the product.
• Collaborate with engineers and product teams as part of Agile delivery.
• Participate in code reviews and release cycles with an ownership attitude.

Requirements

• Strong at problem-solving using Java 8 and above.
• General understanding of SDLC using agile methodologies iterative development.
• Basic skills in HTML, CSS, and JavaScript are desired.
• Hands-on knowledge of using Spring Boot or Quarkus for building Microservices or API driven solutions.
• Knowledge of SQL and experience in using any RDBMS like MySQL, PostgreSQL.
• Understanding or exposure to Cloud-Native development using AWS is an added advantage.

Position Responsibilities:
1.     Design, implementation, and deployment of applications
2.     Expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
3.     Functionally decompose complex problems into simple, straight-forward solutions.
4.     Work extensively with cross-functional teams across.
5.     Work with the business team and project managers to convert functional requirements into detailed technical specifications.
6.     The ideal candidate will be a leader, builder, and operator. He/she should be able to operate in a very fast-paced environment where time to hit the market is supercritical.

Desired Candidate profile: 
1.     A Bachelor's/Master’s degree in Computer Science or equivalent combination of technical education from Elite College or institution and work experience.
2.     4+ years of Software Development experience.
3.     Excellent object-oriented design and coding skills (Java, C++ on a UNIX or Linux platform).
4.     Very strong software development background including design patterns, data structures, test-driven development.
5.     Ability to design and implement systems end to end on your own while maintaining highest coding standards.
6.     Excellent knowledge of design patterns and ability to reflect it in their code.
7.     Ability to lead projects and mentor junior engineers on the same.
8.     Mandatory work experience in skills sets: REST API, JDBC, RDBMS (PostgreSQL, MySQL)
9.     Solid Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
10.  Software development experience in Servlet, JSP, Spring, AWS, S3, SQS, building web services and highly scalable applications or Google Cloud Suite.
11.  Excellent verbal and written communication skills.

Job Description:
We are looking for talented Technical Managers to be part of the Product Engineering team. The candidate should have good experience with Java/J2ee based technologies and will be responsible for delivering features that are meaningful to the customer and consistent with the product vision through the management of a cross-functional team. The person will also contribute to the team as a servant leader and ensure that the team has everything needed to be successful.

Technical Competencies

• Strong Java/J2EE development experience with demonstrated ability to develop and troubleshoot large mission applications & Software Products
• Experience on exception handling, correct use of data structures, multi-threaded programming, memory management and application tuning
• Excellent exposure in Object Oriented Design skills using Java/J2ee along with:
• Core Java Language (Collections, Concurrency/Multithreading)
• JDBC concepts (connection pooling, statement, result set)
• Web Technologies (Struts/Struts 2, Spring (IOP, MVC, AOP), Hibernate, JSP, Web services)
• Database optimization and profiling
• Core/JEE/Integration Design patterns/UML
• Should have experience in Unit Testing
• Good hands on experience with RDBMS like MySQL/Oracle with ability to write SQL Queries/Stored Procedures/Triggers/Joins/View etc
• Practical application of software product development standards and methodologies including Agile, XP, Kanban, RUP and UML
• Ability to apply design patterns consistently and also accurate when building per design requirements
• Good experience in source control, unit testing, code verification, documentation, automated build, continuous integration, metrics, and code reviews.
• Demonstrated problem solving, analytic and troubleshooting skills.
• Strong written and oral communication skills are required to effectively engage internal stakeholders and their technical representatives.

Responsibilities:

• Manages the team in producing working software each iteration in accordance with the team’s commitments
• Facilitates planning sessions, team meetings, and other “rituals,” such as the daily standup, iteration planning, iteration kickoff, iteration review, and retrospectives
• Ensures that the backlog of work for the team is well-defined with respect to scope, clarity of requirements, and acceptance criteria
• Helps remove roadblocks to delivery success.
• Helps the team follow its defined process, and leads process improvement efforts
• Understands the client’s business strategy and objectives as it relates to the product being developed; ensures that the client’s expectations are met or exceeded.
• Oversees the completion of stories, ensuring that the team understands what “Done” means for each story.
• Interfaces between the team and the customer
• Communicates effectively within the team and with all stakeholders by providing high-quality visibility into planned and actual deliverables.
• Is a model developer, with sharp coding skills and a passion for excellence
• Participates in design and coding activities, and helps with requirements, analysis, and testing as needed
• Ensures that the architecture of the product is sound
• Ensures product quality through effective monitoring of quality trends, test automation, defect tracking and root cause analysis.
• Assures that all production deliveries meet acceptance, operational, and quality criteria
• Develops camaraderie and strong collaboration across both the 3Pillar team and client team,
• Actively demonstrates and teaches strong consulting skills to teammates,
• Understands the full set of product development capabilities and speaks to them holistically,
• Proactively develops a deep "trusted advisor" relationship with the primary buyer,
• Assists in developing strategies to take advantage of opportunities within the account and works collaboratively with the Client Partner to execute them

Benefits

• A competitive annual salary based on experience and market demands
• Flexi-timings
• Medical insurance with the option to purchase a premium plan or HSA option for your entire family
• In-house Food & Refreshments
• Regular Health check-up camps arranged by the company
• Recreational activities
• Business casual atmosphere