Frappe and ERP Next Developer

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

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.

Hiring: ASP.NET MVC / Core Developer

Location: Ahmedabad | Full-time (Onsite / Hybrid)

Apply: https://prishusoft.com/jobs/junior-aspnet-mvccore-professional

Experience

• 1–4 years in web application development using ASP.NET technologies.

Key Responsibilities

• Develop and maintain web apps using ASP.NET MVC/Core.
• Build and consume RESTful APIs with Web API.
• Collaborate with front-end and design teams for smooth integration.
• Write optimized T-SQL queries and manage MS SQL Server.
• Participate in code reviews and performance improvements.

Technical Skills

• Proficient in C#, ASP.NET MVC/Core, and Web API.
• Strong knowledge of JavaScript, HTML, and .NET Framework 4.5+.
• Hands-on with SQL, indexing, and query optimization.

Bonus Skills

• Experience with Angular / React / Vue.
• Familiarity with TypeScript and unit testing (Jasmine, Karma).
• Understanding of DevOps and CI/CD pipelines.

Soft Skills

• Good communication and teamwork.
• Positive attitude and eagerness to learn.

Join us in Ahmedabad and grow with a passionate tech team!

This is a fully remote opportunity

About Us:

We at Ascendeum provide Data and AdTech strategy consultation to businesses worldwide. We started our journey with private funding and has been operating profitably since 2015. We are a lean team of 50+ highly productive and smart people spread across various parts of India who have been consistently delivering intelligent solutions that enable enterprise-level websites and apps to maximize their digital advertising returns.

Job Details:

We are looking for an analytical, results-driven Back-end Engineer who holds a passion to troubleshoot and improve current back-end applications and processes. The Back- end Developer will use his or her understanding of programming languages and tools to analyze current codes and industry developments, formulate more efficient processes, solve problems, and create a more seamless experience for users.

Job Responsibilities:

• Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.
• Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
• Developing ideas for new programs, products, or features by monitoring industry developments and trends.
• Recording data and reporting it to proper parties, such as clients or leadership.
• Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team
• members.
• Taking lead on projects, as needed.

Desired Skills and Experience:

• Bachelor’s degree in computer programming, computer science, or a related field.
• Solid experience specializing in developing and managing back-end systems for enterprise-grade applications.
• Strong command on Python and databases such as MySQL.
• Strong understanding of the web development cycle and programming
• techniques and tools.
• Focus on efficiency, user experience, and process improvement.
• Excellent project and time management skills.
• Strong problem solving and verbal and written communication skills.
• Ability to work independently or with a group.

Experience: 2-5 Years experience

Skills:

Core PHP (Knowledge of functions, Methods, PHP OOPS Concept, Ajax, MySQL, Jquery), Javascript, Basic knowledge of HTML, CSS, MVC Structure 

Knowledge about socket

• Bachelor’s degree in Computer / Information Science (BE / BTech) or Master’s in Computer Applications (MCA) Experience:
• Two to five years general software engineering experience
• Experience in web development using the Ruby on Rails web application framework
• At least two years of Ruby on Rails programming experience
• Thorough understanding of the philosophy and design of Ruby on Rails
• Desktop publishing skills: HTML5, xHTML, CSS

Knowledge of:

• JavaScript and JavaScript libraries: jQuery, Plugins etc.
• Unix and Linux systems
• Relational databases: SQL, etc.
• Frameworks: Active record, etc.
• Servers: Nginx, Mongrel, Webrick
• Performance management using New Relic, Web Page Test tools
• SEO rules, minification, rails asset pipelines
• REST APIs and their usage

Highly preferred experience:

• Ability to work with the Amazon EC2, S3, and EBS services
• NoSQL databases: MongoDB, Memcached, CouchDB
• Git, SVN
• Proactive and resourceful person who achieves tasks with minimal oversight
• Team player with the ability and desire to become an integral part of a fast-paced team
• Ability to handle multiple tasks in parallel

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

• 3-5 Years of experience in Backend Development.
• Must have experience in Python (FLASK framework).
• Have Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP or Azure.
• Core experience in developing complex backend systems.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.

• IMMEDIATE JOINEE.
• Work with other engineers to develop and test tools and applications used by team on daily basis
• Play a significant role in the ongoing evolution and refinement of current tools and applications
• Triage, troubleshoot, escalate and provide resolution to production issues.
• Reproduce, document and escalate product defects to the Engineering Team.
• Provide well-thought out and reliable direction, both in technical and non-technical terms, to help customers.
• Take ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution or escalation.
• Identify and escalate priority issues that need immediate attention.
• Collaborate with cross functional teams which requires strong presentation skills and attention to details
  
  
• BA/BS degree in Computer Science or related technical field or equivalent work experience. MS degree is preferred.
• 9+ years development experience in JAVA (using OO Design and Analysis, Design Patterns, etc.)
• High experience in Java 8 Required.
• 4+ years’ experience building highly scalable, distributed and reliable Restful Web Services using Spring, Jersey, etc.
• Should have knowledge on Cloud applications preferably on AWS.
• Knowledge on building Front end applications using JavaScript, AngularJS, HTML5, CSS3.
• Experience with relational DBs like MySQL and NoSQL Database like MongoDB, Solr/Lucene will be a plus.
• Experience with Tomcat, Jax-RS, REST, JPA, IntelliJ, Groovy, Hibernate is must.
• Experience with build technologies like Gradle, Jenkins will be a plus.
• Experience with Test Driven Development using TestNG/Junit testing frameworks.
• Experience working with version control like GIT.