Software Engineer - Backend (Node.js)

About Us

Euphoric Thought Technologies is a fast-growing technology company focused on delivering scalable, high-performance digital solutions. We are looking for a skilled Backend Developer to join our dynamic team and contribute to building robust and efficient systems.

Key Responsibilities

 Design, develop, and maintain scalable backend services and APIs

 Write clean, maintainable, and efficient code

 Collaborate with frontend developers, DevOps, and product teams

 Optimize applications for maximum speed and scalability

 Troubleshoot, debug, and upgrade existing systems

 Implement security and data protection best practices

 Participate in code reviews and technical discussions

Required Skills & Qualifications

 4–5 years of hands-on experience in backend development

 Strong proficiency in at least one backend language such as Java and Core Java

 Experience with frameworks like Spring Boot, Django, Express.js, etc.

 Good understanding of RESTful APIs and Microservices architecture

 Strong experience with databases (MySQL, PostgreSQL, MongoDB)

 Familiarity with version control systems (Git)

 Experience with cloud platforms (AWS/Azure/GCP) is a plus

 Knowledge of Docker, Kubernetes, CI/CD pipelines is an added advantage

 Strong problem-solving and analytical skills

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.

What you'll do:

· Perform complex application programming activities with an emphasis on mobile development: Node.js, TypeScript, JavaScript, RESTful APIs and related backend frameworks

· Assist in the definition of system architecture and detailed solution design that are scalable and extensible

· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible

· Own the quality of code and do your own testing. Write unit test and improve test coverage.

· Deliver amazing solutions to production that knock everyone’s socks off

· Mentor junior developers on the team

What we’re looking for:

· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.

· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.

· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.

· Flexible and willing to accept change in priorities, as necessary

· Demonstrable passion for technology (e.g., personal projects, open-source involvement)

· Enthusiastic embrace of DevOps culture and collaborative software engineering

· Ability and desire to work in a dynamic, fast paced, and agile team environment

· Enthusiasm for cloud computing platforms such as AWS or Azure

· Excellent written and verbal communications skills

Experience in Java

Experience in spring Boot

Experience in microservices

experience in Project management

Experience in leading team

Experience in customer facing

Experience in Product Management

We focus on client adoption of disruptive technologies, technology architecture and providing specialized skills related to integration, custom software engineering, testing, application modernization, agile and more. We help our clients with the most complex projects including working in open web platforms, DevOps platforms as well as intelligent Computing and Architecture enhancement.

We are looking for hands on, smart thinking Applications developer to join our fast-growing team of talented professionals. You will have the opportunity to work on large enterprise solutions and deliver solutions that deliver business performance for our customers.

WORK YOU’LL DO

• Design and develop microservices/APIs using either Java/Spring boot, ISTIO, Kubernetes, Docker, CI / CD Pipelines
• You would scale micro services using Kafka or similar messaging systems.
• Collaborate with clients, architects, and application architectures to understand the operational objectives and purpose of the future system integration.
• Understand the points of integration between the different systems and highlight the potential risks associated with the delivery of solutions
• Collaborate with Functional Designers and Developers in order to find best solutions
• Produce detailed functional and technical specifications.
• Assist in producing solutions with threat assessments and associated security awareness.
•  

WHAT WE ARE LOOKING FOR

• 5- 8 years of hands-on experience designing and developing microservices using either Java/Spring Boot
• 3-5 years of experience with system integration
• Minimum of 3 years of relevant experience with API concepts and technologies such as REST, JSON, XML, SOAP, YAML, GraphQL, and Swagger
• Experience developing within agile methodology using CI/CD pipeline
• Experienced in 3-tier, n-tier, cloud computing, microservices architectures and SOA.
• Good knowledge of integration architectures
• Experience supporting and/or implementing complex integration projects
• Excellent client management skills
• Experience with Data modelling would be an asset

QUALIFICATIONS

• Experience of working in an Agile Environment
• Ability to drive design from Stories and Requirements
• Adept at UML, Design Patterns, Reusable Services Development,
• Knowledge on Scaling Microservices

Are you passionate about using technology to make people's lives better? Are you interested in becoming a part of one of the hottest trends in the world of start-ups today? Are you excited about joining the online ultra-fast grocery delivery service business pioneer and driving the trend forward? Then this may be the right opportunity for you.

Role and Responsibilities

1. Helping lead the software development lifecycle: technical design, implementation, testing, deployment, and support.
2. Working with cross-functional teams effectively to enable business growth.
3. Proactively identifying engineering bottlenecks and initiating proposals to improve them.
4. Writing high-quality, well-tested code in alignment with industry-wide best practices.
5. Applying a product mindset to back-end systems.
6. 1.  

1. About five years of experience delivering product-quality code in an agile set-up
2. Experience with Node.js (Hapi, Restify, Express, Mongoose, Socket.IO, Mocha)
3. Experience with Elasticsearch
4. Experience building and deploying Docker containers
5. Strong general Linux experience
6. Extensive experience with REST APIs
7. Experience with microservice architecture
8. Experience with MongoDB
9. Expert knowledge of Redis and caching strategies
10. Strong knowledge of unit/integration testing, including the art of mocking and writing testable code

1. Passionate about technology and making an impact.
2. A perpetual learner, who stretches their boundaries and enjoys new ideas.
3. A doer who takes initiative and works well in a team.

Blok is a technology-first online ultra-fast grocery delivery service business, and we are on our way to revolutionize how millions of people across countries consume groceries. We believe in a world where getting everything you need, when you need it, sustainably, is the new normal. And it takes less than 10 minutes.

We believe we are positioned to lead this revolution. Why? Our founding and early team have held senior positions at Deliveroo, Uber, Glovo, Mercadona, or Unilever. We have done this before, and we believe we can do it again. But this time, even better.

Embark on the journey and help us launch the revolution in one of the highest growth industries of the year. Help us shape the new normal.

• Lead a full product development lifecycle from ideation, design, development, to roll out and support
• Own the delivery of multiple features of the product end to end while hands-on in development as well
• Advocate best development practices such as continuous integration/continuous delivery, automation (testing and infrastructure)

1. 7+ Years’ of experience, managing teams of 5+ people
2. Must have excellent programming, debugging and scripting skills with a solid understanding of Object Oriented Design principles.
3. Proficiency in at least two of the following: Java, NodeJS, Go, JavaScript, Python programming stacks, and passion for software engineering and craftsman-like coding prowess
4. Knowledge of software practices like refactoring, clean code, domain driven design, Encapsulation etc
5. Hands on experience managing databases like MongoDB, Cassandra, Redis.
6. Exposure to event driven systems and event streaming engines like Kafka
7. Good knowledge of DevOps tooling like docker, kubernetes, ansible/chef, AWS.  

Why join the navy when you can be the pirate?

Get onboard this ship & let's make KYC and onboarding easier than ever!

We want to ensure that our tech is successfully consumed by end users easily.

We are looking forward to work with you.

We would love to have you for the following reasons :

• Strong hold in python based backends such as Flask & Django
• Knowledge of backend principles, patterns, and best practices
• Aware of the open-source ecosystem and the libraries available.
• Proficient understanding of Git
• Must have written Unit, Integration and UI Test Cases
• Understanding of Cloud hosting (AWS,Azure) principles and interface guidelines
• Experience in working with distrubuted data using REST APIs, JSON and other technologies
• Potential interns with experience in containers will hold an advantage.
• Experience in Kafka & ELK will be an advantage.
• Experience of 1-2 years.