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Fullstack Developer
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Fullstack Developer

Sumeet Bandewar's profile picture
Posted by Sumeet Bandewar
1 - 4 yrs
₹3L - ₹8L / yr
Pune
Skills
skill iconJavascript
skill iconNodeJS (Node.js)
skill iconReact.js
skill iconAmazon Web Services (AWS)
REST APIs, DBs (SQL is a plus) - Knowledge of javascript, HTML, CSS - A strong foundation of Data structures, Object-oriented Principles - Able to work in a startup environment - Knowledge of Version control is a plus - Knowledge of CI/CD Pipelines, Version control is a plus
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Param Business Solutions

Founded :
2018
Type :
Products & Services
Size :
20-100
Stage :
Raised funding

About

Param Business Solutions
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Ankur Zilpelwar
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Sumeet Bandewar

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Recruiting Bond
at Recruiting Bond
2 candid answers
Pavan Kumar
Posted by Pavan Kumar
Mumbai, Navi Mumbai
10 - 15 yrs
₹55L - ₹80L / yr
Distributed Systems
Systems design
Systems architecture
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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
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  • 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.


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Location- Gurgaon/ Bangalore

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We are seeking an experienced Senior Engineer with strong expertise in Golang and cloud-based web applications. The ideal candidate will work across multiple backend services, contribute to architectural decisions, ensure quality through best practices, and collaborate effectively with cross-functional teams. 


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• Design, develop, and maintain backend services using Golang. 

• Work across multiple Golang applications and microservices. 

• Have good understanding of internal enterprise services such as SSO, authorization, and user management. 

• Collaborate with cloud engineering teams to build and manage applications on AWS or Azure. 

• Follow and enforce backend development best practices including CI/CD, coding guidelines, and code reviews. 

• Use tools like SonarQube for static and dynamic code analysis. 

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• Document system designs, APIs, and technical workflows. 

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Required Skills:-

• Strong, hands‑on experience with Golang across multiple real‑world projects.

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• Experience with CI/CD pipelines, coding standards, and automated testing. 

• Familiarity with code quality tools such as SonarQube. 

• Strong documentation skills. 

 

Good-to-Have Skills:-

• Knowledge of Python or JavaScript. 

• Understanding of frontend technologies (react.js). 

• Experience mentoring or guiding team members.


Note- We are looking out immediate joiners.

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INR : 40 LPA - 50 LPA


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We are Hiring for a Client Named Squad Cast.
We are Hiring for a Client Named Squad Cast.
Agency job
via zyoin by lakshmi kumariS
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8 - 11 yrs
₹9.5L - ₹15L / yr
skill iconNodeJS (Node.js)
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Dear Candidate,

It was nice talking with you

 

As discussed please find below the job description and other needed details

 

“Squadcast is an incident-management platform for software teams of all sizes and shapes”

Our product helps global organizations adopt Site Reliability Engineering practices to improve their incident resolution metrics and ultimately, the reliability of their systems. If you're excited about engaging user experiences, snappy interfaces, and trustworthy systems, we should talk!

We ideate fast, embrace change, and take risks. From scaling our business model to expanding our offerings, the day-to-day at Squadcast offers endless professional growth opportunities. Our engineers work on state-of-the-art tech stacks with a high degree of autonomy.

Position : Backend SDE3

Experience : 8 to 11 Years

Work Mode: Remote work

Location : Bangalore

 

Role & Responsibilities :

  • Work with a team of skilled engineers to improve the Squadcast product.
  • Control what you work on, how you deliver and the roadmap of the product.
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  • Build delightful experiences and scalable, reliable systems for fellow engineers, the end users of our platform.
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You may be a fit for this role if you:

  • Are passionate about building products for fellow engineers.
  • Are you a full-stack engineer, or a frontend/backend engineer interested in expanding to other areas of the stack?
  • Either has experience in our tech stack or wants to work on it. We care about your general engineering skills and learning abilities more than your current tech stack.
  • Communicate proactively and work autonomously, requiring minimal supervision or follow-up.
  • I like to collaborate and pair with other engineers.
  • Want to own features end-to-end: bring your ideas to the stakeholders, build consensus, plan, implement, deploy and release.

 

 Your Response is acknowledged!

 

Kind Regards,

Lakshmi Kumari. S

(Associate - TA )

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As we want to speed up and reach our Mission and Vision, we would like candidates who can join us on Priority and can work from our Delhi/NCR Office
 
 
ESOPs
Happy to offer ESOPs to Candidates with right fit and attitude who have spent considerate amount of time with the company and shown their worth.

About Us:
We, at QuizKart, are backed by our Parent Company which is a Singapore VC Fund and are riding a rocketship to become a Unicorn in the next 3 years.

We are India's first Fantasy Ecommerce platform that enables a new method of shopping and saving by playing fun based quizzes for everyone.
 
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Vamstar
at Vamstar
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Posted by Megha Nandiwal
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  2. Full Stack development
  3. Passion towards Code Review
  4. Strong fundamentals in data structures, algorithms, web technologies, and design patterns
  5. Calm under pressure
  6. Hungry to improve

 

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  • Extensive experience with one of the following - Node.js / Spring / Serverless or Enterprise Java-based server technology
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Read more
BoTree Technologies
at BoTree Technologies
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Shardul Bhatt
Posted by Shardul Bhatt
Ahmedabad
4 - 6 yrs
₹8L - ₹12L / yr
skill iconRuby
skill iconRuby on Rails (ROR)
skill iconJavascript

If you believe in “ First, solve the problem. Then, write the code. , we are looking for you. 

  • Atleast 4 - 6 years of experience working Ruby on Rails.
  • Ability to manage a team.
  • Very good at Analysis and Design.
  • Passion to write good quality code.
  • Able to work in a fast paced environment.
  • Able to manage multiple tasks with changing priorities in a cross-functional environment
  • Team player
  • Ability to balance competing priorities.
  • Excellent communication skills.

 

BoTree Technologies was incorporated in 2012 and since then we have constantly worked towards building a place to work which provides each member an opportunity to challenge herself and grow on a day to day basis.

Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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