.Net Developer

We are seeking enthusiastic and motivated fresh graduates with a strong foundation in programming, primarily in Python, and basic knowledge of Java, C#, or JavaScript. This role offers hands-on experience in developing applications, writing clean code, and collaborating on real-world projects under expert guidance.

Key Responsibilities

• Develop and maintain applications using Python as the primary language.

• Assist in coding, debugging, and testing software modules in Java, C#, or JavaScript as needed.

• Collaborate with senior developers to learn best practices and contribute to project deliverables.

• Write clean, efficient, and well-documented code.

• Participate in code reviews and follow standard development processes.

• Continuously learn and adapt to new technologies and frameworks.

Core Expectations

• Eagerness to Learn: Open to acquiring new programming skills and frameworks.

• Adaptability: Ability to work across multiple languages and environments.

• Problem-Solving: Strong analytical skills to troubleshoot and debug issues.

• Team Collaboration: Work effectively with peers and seniors.

• Professionalism: Good communication skills and a positive attitude.

Qualifications

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

• Strong understanding of Python (OOP, data structures, basic frameworks like Flask/Django).

• Basic knowledge of Java, C#, or JavaScript.

• Familiarity with version control systems (Git).

• Understanding of databases (SQL/NoSQL) is a plus.

NOTE: Laptop with high speed internet is mandatory

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.

* Python (3 to 6 years): Strong expertise in data workflows and automation

* Spark (PySpark): Hands-on experience with large-scale data processing

* Pandas: For detailed data analysis and validation

* Delta Lake: Managing structured and semi-structured datasets at scale

* SQL: Querying and performing operations on Delta tables

* Azure Cloud: Compute and storage services

* Orchestrator: Good experience with either ADF or Airflow

Job description

Note: Applications are welcome from candidates who are immediate joiners or currently serving their notice period.

Key Responsibilities:

• Design, develop, and test low-latency, high-volume client-facing applications.
• Develop and maintain enterprise-scale, n-tier applications for the investment banking/capital markets domain.
• Implement microservices-based solutions using Spring Boot and other modern frameworks.
• Work extensively with Core Java 5.0 and above, Spring Framework, and CXF
• Optimize applications for multi-threading and high-performance server-side development
• Collaborate with cross-functional teams to design and implement scalable, secure, and efficient solutions
• Work with RDBMS (preferably Sybase) to handle large-scale data processing.
• Develop and maintain applications on Unix/Linux environments
• Utilize enterprise application design patterns to build robust and scalable solutions.
• Troubleshoot and resolve complex technical issues while ensuring application stability and performance.

Required Skills & Experience:

• 5 to 10 years of hands-on experience in Java development
• Strong knowledge of microservices architecture and cloud-based deployment.
• Expertise in Spring Framework, Spring Boot, and CXF
• Experience in developing and optimizing applications for high-volume, multi-threaded environments
• Solid understanding of financial domain applications, sales, and trading platforms
• Proficiency in working with relational databases (Sybase preferred)
• Familiarity with Unix/Linux environments and shell scripting.
• Strong analytical, problem-solving, and communication skills.
• Ability to articulate and present design ideas effectively.

GetSupp is looking for a Software Engineer to join its core team. You will be a key member of our team and will develop applications that help simplify a user's health discovery journey.

You will be responsible for the end-to-end development & execution of our core product offerings.

• Own & execute critical features end-to-end and work directly with the founding team to drive customer impact
• Ideate & help design features keeping in mind the scale and high availability of systems
• Develop, test and release schedule critical, high-quality features that will help build a polished product
• 2+ years of hands-on programming experience in Python language
• Experience with application development using Django or Flask
• Experience with MySQL / Postgres / NoSQL and hold a solid understanding of database design concepts
• Experience in API Design with REST & GraphQL
• Experience with caching methodologies using Memcached or Redis
• Experience with search technologies such as Elasticsearch, Lucene or Solr is a plus
• Experience with deployment and infra management using AWS, Azure or GCP is a plus
• A degree in Computer Science/Engineering or an equivalent degree

What we are scouting for

• BS/MS in computer science or equivalent work experience in IT
• 2+ years’ experience designing and developing applications using Java EE platforms
• A strong hands-on programming knowledge in Core Java including Java 8. To solve the problem given in optimized way.
• Strong knowledge on the Data structure and algorithm.
• Experience developing and designing API integrations using SOAP/RESTful
• Should be able to understand the time complexity of the existing algorithm. Able to compare different algorithms available.
• Expert understanding of the object-oriented design and programming concepts
• Know the fundamentals of Object-Oriented Programming using Java;
• Used SQL & NoSQL solutions
• Experience in GIT/SVN, build tools such as Ant/Maven/Gradle
• Experience in JUnit, Sonarqube, Mockito, Jacoco, Maven & Jenkins

Technical Competency – Nice to have

• Experience in Dependency Injection, Annotation, Validations, Auto Wiring
• Good knowledge in internal working on Memory Management, Transaction management
• Knowledge on DevOps pipeline tools like Jenkins, tools for Code quality scan, tools for security scan
• Spring boot
• Spring MVC
• Any Java Certification

Behavioural Competency

• Strong interpersonal communication skills
• Ability to lead self and team toward common goals
• Excellent oral and written communication, presentation, and analytical skills
• Excellence in technical communication with peers and non-technical cohorts

What you will be doing

• As a self-motivated and enthusiastic member of our team, you will work with extremely talented peers in a fun environment building performance efficient payment authorization services that are highly scalable, configurable and available
• You’ll work in an Agile environment with a focus on problem solving and engineering excellence.
• Worked independently and as a member of a team, determined to make active contributions to the assigned Team
• Flexible and adaptable approach to the roles assigned to you
• Ability to coordinate and prioritize tasks, and work in a fast paced and challenging environment
• Deliver on time under dynamics with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards
• Make a large impact on the design, architecture, and implementation of cutting edge products
• Work with other team members to investigate design approaches, prototype new technology

and evaluate technical feasibility

• Work in an Agile/Scrum environment to deliver high quality software
• Establish architectural principles, select design patterns and then mentor team members on their appropriate application

• As a polyglot developer Ideally, you should have:
• 1.5+ years of development experience using any of technology java, scala, python or any similar exciting technologies.
• Hands-on experience in coding, and implementation of complex, custom-built applications Working knowledge of build tool like maven/sbt and code versioning systems like git/bitbucket/cvs/svn
• Familiarity with few databases, like MySQL, Oracle, PostgreSQL, SQL Server, NoSQL etc Great OO skills, including strong design patterns knowledge
• Good communication and ability to work in a consulting environment is essential

• Think through hard problems in a consultancy environment, and work with amazing people to make the solutions a reality Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience
• Build custom software using the latest technologies and tools Craft your own career path

• Providing solution to real problems in Bigdata world.
• RnD on using the latest tools,techniques and cloud services.
• Automating the manual-timetaking tasks.
• Hands-on coding, usually in a pair programming environment.
• Working in highly collaborative teams and building quality code
• Working in lots of different domains and client environments
• Understanding the business domain deeply

Skills:

• Experienced in C# MVC ASP.Net, Net
• Should have good knowledge in JavaScript, SQL, RDBMS Concepts and Microsoft .NET
• Framework, practical implementation of Object Oriented Concepts, N-Tier Architecture
• Development and understanding of JSON, XML, SOAP.
• Good hands-on coding skills in Java Script, Ajax, C#, ASP.Net, ADO.Net, jQuery.
• Knowledge of working Android iOS mobile development would be added advantage
• Good communication and analytical skills are must.
• Candidates with experience will be preferred.

Primary Roles and Responsibilities:

• Participate in requirements analysis.
• Collaborate with internal teams to develop software design and architecture.
• Candidate should be able to write clean, scalable code using C#.
• Revise, update, refactor and debug code.
• Test and deploy applications.
• Resourcefulness and troubleshooting.
• Good analytical and problem solving skills.