React Native Developer

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

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.

Job Position: Lead II - Software Engineering

Domain: Information technology (IT)

Location: India - Thiruvananthapuram

Salary: Best in Industry

Job Positions: 1

Experience: 8 - 12 Years

Skills: .Net, Sql Azure, Rest Api, Vue.Js

Notice Period: Immediate – 30 Days

Job Summary:

We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.

Key Responsibilities:

• Design, develop, and maintain scalable and secure .NET backend APIs.
• Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
• Lead and contribute to Agile software delivery processes (Scrum, Kanban).
• Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
• Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
• Implement unit and integration testing to ensure code quality and system stability.
• Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
• Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
• Mentor and coach engineers within a co-located or distributed team environment.
• Maintain best practices in code versioning, testing, and documentation.

Mandatory Skills:

• 7+ years of .NET development experience, including API design and development
• Strong experience with Azure Cloud services, including:
• Web/Container Apps
• Azure Functions
• Azure SQL Server
• Solid understanding of Agile development methodologies (Scrum/Kanban)
• Experience in CI/CD pipeline design and implementation
• Proficient in Infrastructure as Code (IaC) – preferably Terraform
• Strong knowledge of RESTful services and JSON-based APIs
• Experience with unit and integration testing techniques
• Source control using Git
• Strong understanding of HTML, CSS, and cross-browser compatibility

Good-to-Have Skills:

• Experience with Kubernetes and Docker
• Knowledge of JavaScript UI frameworks, ideally Vue.js
• Familiarity with JIRA and Agile project tracking tools
• Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
• Experience mentoring or coaching junior developers
• Strong problem-solving and communication skills

Company: Fineline Technologies (www.finelinetech.com)

Founded: 1998

Headquarters: Norcross, Georgia, USA.

Global Presence: Operations in the U.S., Canada, China, Europe, India, and Africa

Work Mode: Hybrid

We are looking for a highly skilled Java Developer to join our team for permanent, long-term projects, focusing on managing IoT and RFID projects as well as barcode printing solutions. The ideal candidate will have extensive experience in Java development, particularly with Spring Boot, Angular, and RESTful services. They should excel in designing and implementing scalable, reliable, and efficient Java applications. This role involves designing, developing, and maintaining high-quality software solutions, ensuring high performance and responsiveness. Additionally, the candidate will collaborate with stakeholders to understand business requirements, propose optimal solution approaches, and ensure the successful implementation of Java-based solutions.

DUTIES AND RESPONSIBILITIES:

• Develop, test, and maintain Java applications using modern frameworks like Spring Boot.
• Design and implement RESTful services and web applications.
• Troubleshoot, debug, and optimize application performance.
• Actively engage in product design discussions and contribute to application architecture development.
• Participate in code reviews and pair programming sessions.
• Stay updated with the latest industry trends and technologies.

QUALIFICATIONS:

• Qualifications: B.E/B.S/ M.S in Computer Science, B. Tech/M. Tech in Information Technology, MCA
• Experience: Advanced knowledge of Java programming with 8+ years of experience
• Java Programming: Proficiency in Java and its associated technologies, such as J2EE, JDBC, Servlets, JSP, and JavaFX.
• Spring Framework: (Nice to have UX/UI experience) Expertise in Spring Boot, Spring MVC, and other Spring modules for building robust applications.
• Web Services: Experience with RESTful and SOAP web services, including designing and implementing APIs.
• Front-End Technologies: Knowledge of front-end technologies like Angular 16+, React, HTML, CSS, and JavaScript.
• Database Management
• Microservices Architecture: Understanding of microservices architecture and containerization tools like Docker and Kubernetes.
• Software Development Lifecycle (SDLC) Agile
• Code Quality and Testing: Familiarity with Test Driven Development (TDD), unit testing, and code review processes.

Nice to Have skills

• Experience with barcode printing and scanning.
• Understanding of RFID encoding and scanning technologies.
• Experience with cloud platforms like AWS, Azure.

Salary

As per industry standard

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

Required Skills:

• 3+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.

We are seeking a highly skilled Java Developer to join our team. The ideal candidate should have at least 5 years of experience in Java development and be able to work from the office.

Responsibilities:

• Develop high-quality software design and architecture using Java technology
• Produce clean, efficient, and maintainable code
• Conduct code reviews and testing to identify and fix software defects
• Collaborate with cross-functional teams to identify and solve complex software problems
• Design, develop and maintain software applications using Java technology
• Debug and troubleshoot software defects

Requirements:

• Proven experience as a Java Developer with at least 5+ years of experience
• Knowledge of web frameworks such as Spring, Hibernate, and Struts
• Familiarity with Agile methodologies and software development life cycle (SDLC)
• Experience with source code management tools such as Git or SVN
• Excellent problem-solving skills and ability to work independently
• Strong written and verbal communication skills
• Immediate joiners preferred

If you are a Java Developer with a strong work ethic and a passion for developing high-quality software solutions, we encourage you to apply.

• You have 2-5 years of experience using two or more development languages (ASP.NET, JavaScript, Scala, C#, etc.) with experience in Object-Oriented programming and full-stack web application development
• You can write clean, high-quality code in a variety of languages and are also able to spot and improve bad code
• You have experience with Agile and/or Continuous Delivery approaches such as Continuous Integration, TDD, Infrastructure as Code, etc.
• Experience with developing web applications based on ReactJS
• Hands on experience in setting up automated build pipelines based on Jenkins, Gradle, MSBuild, Maven etc.
• Bonus points if you have knowledge of cloud technologies such as AWS/Azure/GCP, Docker and Kubernetes
• Experience with atleast one RDBMS sql-server or postgress having good sql skills
• You will champion best practices like writing clean and reusable code using practices like Test Driven Development, SOLID principles, OO design, and pair programming
• You will partner with developers from other cross-functional teams advocating devops culture
• Experience with building REST APIs and asynchronous messaging systems
• You will work in collaborative, product-focused teams to build innovative customer experiences
• Take ownership and accountability beyond individual deliverables, always pushing the envelope in order to deliver awesome results for our clients