Dot net developer

Job Title : Senior Java Developer (Telecom Domain)

Experience : 6 to 10 Years

Location : Nagpur, Maharashtra

Job Summary :

We are looking for a Senior Java Developer with strong experience in the Telecom domain to design and develop enterprise messaging applications.

The ideal candidate should have hands-on expertise in Java, Kannel SMS Gateway, SMPP protocol, and telecom messaging platforms, along with experience building scalable REST APIs and microservices.

Mandatory Skills :

Java 8/11/17, Spring Boot, Spring Framework, Hibernate/JPA, REST APIs, Microservices, Kannel SMS Gateway, SMPP Protocol, Telecom Messaging Platforms, SMSC Integration, SQL, Linux, Git, CI/CD, Telecom Domain Experience.

Key Responsibilities :

• Design, develop, and maintain Java-based enterprise applications.
• Develop and integrate SMS solutions using Kannel SMS Gateway and SMPP.
• Build REST APIs and Microservices using Spring Boot.
• Integrate with SMSCs and telecom messaging platforms.
• Optimize application performance, reliability, and scalability.
• Troubleshoot production issues and collaborate with cross-functional teams.
• Perform code reviews and mentor junior developers.

Required Skills :

• 6 to 10 years of Java development experience.
• Strong expertise in Java 8/11/17, Spring Boot, Spring MVC, Hibernate/JPA.
• Hands-on experience with Kannel SMS Gateway and SMPP protocol.
• Experience with Telecom SMSCs and messaging platforms.
• REST APIs, Microservices, SQL (MySQL/PostgreSQL/Oracle).
• Linux/Unix, Git, CI/CD pipelines.
• Strong debugging and problem-solving skills.

Preferred Skills :

• Kafka, RabbitMQ, or ActiveMQ.
• Docker & Kubernetes.
• AWS, Azure, or GCP.
• Redis and monitoring tools (Grafana, Prometheus, ELK).
• Experience with Agile/Scrum.

Mandatory Requirement :

Candidates must have prior Telecom industry experience with hands-on working knowledge of SMPP, SMSC, and Kannel SMS Gateway. Profiles without Telecom messaging experience will not be considered.

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.

Specific Knowledge/Skills

1. 4-6 years of experience
2. Proficiency in Python programming.
3. Basic knowledge of front-end development.
4. Basic knowledge of Data manipulation and analysis libraries
5. Code versioning and collaboration. (Git)
6. Knowledge for Libraries for extracting data from websites.
7. Knowledge of SQL and NoSQL databases
8. Familiarity with RESTful APIs
9. Familiarity with Cloud (Azure /AWS) technologies

Role Overview:

We are seeking a motivated .NET Developer with around 3 years of experience to join our backend development team. The ideal candidate should have hands-on experience in C#, ASP.NET Core, and SQL, with a strong understanding of object-oriented programming and API development. You will work closely with product, DevOps, and QA teams to build and enhance backend systems

supporting our trading and fintech platforms.

Key Responsibilities:

• Develop, maintain, and enhance backend applications using .NET Core / ASP.NET MVC.

• Design and implement RESTful APIs for integration with frontend and third-party systems.

• Write clean, scalable, and efficient code following best practices.

• Work with SQL databases (preferably MS SQL Server) to design schemas, write queries, and optimize performance.

• Collaborate with product managers and frontend teams to translate requirements into technical solutions.

• Participate in code reviews, debugging, and troubleshooting production issues.

• Contribute to improving application performance, scalability, and security.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 3 years of experience in .NET development.

• Strong proficiency in C# and ASP.NET Core / ASP.NET MVC.

• Experience with Web APIs and RESTful architecture.

• Good knowledge of Entity Framework / LINQ.

• Hands-on experience with MS SQL Server or other relational databases.

• Understanding of OOP principles, design patterns, and software architecture concepts.

• Familiarity with Git or other version control systems.

• Basic understanding of HTML, CSS, and JavaScript (for integration purposes).

Nice-to-Have Skills:

• Exposure to Microservices architecture.

• Familiarity with Message Queues (Kafka, RabbitMQ).

• Knowledge of CI/CD tools and DevOps practices.

• Experience with cloud environments (AWS / Azure).

• Understanding of financial or trading systems is a plus.

Why Join Tradelab Technologies:

• Work on cutting-edge trading and fintech platforms used across the industry.

• Collaborative, growth-oriented environment with exposure to complex backend systems.

• Opportunity to learn from senior engineers and grow into full-stack or system design roles.

• Competitive salary and benefits

Job Overview :

We are looking for a skilled Node.js Developer to join our team. You will be responsible for developing and maintaining server-side applications, APIs, and services, ensuring high performance, scalability, and reliability.

Responsibility :

-Develop Backend Services: Build and maintain server-side applications using Node.js.

-API Integration: Develop and integrate RESTful APIs.

-Database Management: Work with databases (SQL/NoSQL) for efficient data storage and access.

-Optimize Performance: Ensure the application is optimized for speed and scalability.

-Debugging and Troubleshooting: Identify and resolve issues in the backend system.

-Collaboration: Work with front-end developers to ensure seamless integration between server-          side and client-side systems.

Education :

- Bachelor’s degree in Computer Science, Engineering, or a related field.

Ready to take the next step in your career? Submit your application today and become a part of our innovative team at Rayvat (Jenya) Outsourcing. We look forward to meeting you!

Requirements:

Java developer responsibilities include designing, developing, Testing and delivering high-volume, low-latency applications for mission-critical systems.

1. Proven hands-on Software Development experience

2. Proven working experience in Java development

3. Hands on experience in developing applications using Java EE platforms

4. Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc)

5. Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)

6. Experience in the Spring Framework

Primary Role

• As an SSRS Report Engineer, the primary job role is to develop a transactional data report using Microsoft SQL Service Reporting Service 2016 or above.
• This includes developing high performing Stored Procedures, Functions, and corresponding reporting formats.
• Required to design the required logics for the queries and collaboratively coordinate with the rest of the team.

Main Duties / Responsibilities

• Design & implement high performing T-SQL queries as per the functional specification.
• Create Technical Specification.
• Effective troubleshooting of technical issues and bugs.
• Package deployment and release management.
• Provides technical support to customers.
• Participate in Requirements discussions.
• Must be able to manage timelines and task priorities.
• Attention to detail and maintaining high-quality standards is a must.

TECHNICAL KNOWLEDGE

• Experience in Microsoft SQL Server 2016 (or above) and Microsoft SQL Service Reporting Service 2016 (or above).
• Knowledge of T-SQL including complex SQL queries, stored procedures, views and functions.
• Experience with usage of indexes and T-SQL performance tuning techniques.

QUALIFICATIONS

• Bachelor’s Degree or an equivalent qualification