PHP / Laravel Devloper

Position: Senior PHP, Laravel Developer (2 – 4 years)

Location: Marol, Andheri East, Mumbai

Company: Big Rattle Technologies Private Limited

Open for candidates from Mumbai only. Immediate Joiners only.

Summary:

We are looking for an experienced developer to join our team. You must have 2 to 4 years of work experience in PHP and should have delivered at least 4 projects. 

Required Skills (more the better):

• PHP, Laravel, MySQL, HTML5, CSS3, JavaScript, AJAX/ Fetch, jQuery, Web services and APIs
• MVC framework, Design Patterns, Authentication, Eloquent, Providers, Middleware, Supervisor, Cron Jobs, Postman etc.
• Experience of entire software development lifecycle 
• Project delivery experience and has handled clients directly 
• Managed a team of at least 4 developers 
• Client Interaction and requirements management

Additional Skills 

• Versioning tools such as GIT, Bit Bucket and concepts such as branching 
• DevOps: Knowledge of operating systems, hosting and deployment on cloud platforms like Amazon Web Services, Google Cloud, Azure etc. will be added advantage 

Responsibilities will include: 

• Writing clean, well designed code 
• Debugging code and fixing bugs 
• Ensuring code quality and security by following industry standards 
• Managing code repositories and deploying builds 
• Contributing all phases of development lifecycle 
• Participating in team meetings and client meetings/calls 
• Learning new technologies 

Why should I join Big Rattle? 

Big Rattle Technologies specializes in AI/ ML Products and Solutions as well as Mobile and Web Application Development. Our clients include Fortune 500 companies. Over the past 13 years, we have delivered multiple projects for international and Indian clients from various industries like FMCG, Banking and Finance, Automobiles, Ecommerce, etc. We also specialise in Product Development for our clients.

Big Rattle Technologies Private Limited is ISO 27001:2022 certified and CyberGRX certified.

What We Offer:

• Opportunity to work on diverse projects for Fortune 500 clients.
• Competitive salary and performance-based growth.
• Dynamic, collaborative, and growth-oriented work environment.
• Direct impact on product quality and client satisfaction.
• 5-day hybrid work week.
• Certification reimbursement.
• Healthcare coverage.

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.

Software Development Engineer:

Major Responsibilities:

• Translation of complex functional requirements into technical requirements, implementing and maintaining a coherent and progressive development strategy for our product line
• Design, develop and maintain complex systems using best of the breed development practices and technology.
• Responsible for the over-all software development life cycle.
• Delivery of High Quality, Scalable and Extensible systems and applications on-time and on-budget.
• Adoption and Evolution of the software engineering practices and tools within the organization
• Keep in sync with the latest technology developments and open source offerings. Evaluate and adopt them for solving business problem of organization.
• Collaborate with other technology and business teams within the organization to provide efficient robust solutions to the problems.
• Drive and manage the bug triage process
• Report on status of product delivery and quality to management, customer support and product teams.

Desired Skills

• Strong programming, debugging, and problem-solving skills
• Strong understanding of data structures and algorithms
• Sound understanding of object-oriented programming and excellent software design skills.
• Good experience of SOA/Microservices/Restful services and development of N-tier J2EE / JavaSpringboot applications (API’s).
• Strong understanding of database design and SQL (mySql/mariaDB) development
• Good to have knowledge of NoSQL technologies like MongoDB, Solr, Redis, Cassandra or any other NoSQL database
• Knowledge of design patterns and good to have experience of large-scale applications
• Should have experience in Apache Kafka, RabbitMQ or other Queueing systems.

Ideal Experience

• 3 to 8 years of industry experience.
• Bachelors or Master’s Degree in Computer Science/ IT
• Drive discussions to create/improve product, process and technology
• Provide end to end solution and design details
• Lead development of formalized solution methodologies
• Passion to work in startup like environment

Personal Characteristics

• Passion and commitment
• Strong and excellent software design intellect
• High integrity
• Self-starter

• Must have applied knowledge of Python and trending data libraries.
• Experience on Python Backend Development framework like Flask, Django etc.
• Must have experience working on AWS (Lambda, EC2, S3, API Gateway etc).
• Must have experience working on SQL optimization and performance tuning.
• Nice to have technical knowledge in any ETL/ BI Tools (Datastage, Informatica, Alteryx, Microstrategy, RDM, MDM etc.

Key Responsibilities: 

• Rewrite existing APIs in NodeJS. 
• Remodel the APIs into Micro services-based architecture. 
• Implement a caching layer wherever possible. 
• Optimize the API for high performance and scalability. 
• Write unit tests for API Testing.
• Automate the code testing and deployment process.

Skills Required: 

• At least 3 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds. 
• Excellent hands-on experience using MySQL or any other SQL Database. 
• Good knowledge of MongoDB or any other NoSQL Database. 
• Good knowledge of Redis, its data types, and their use cases. 
• Experience with graph-based databases like GraphQL and Neo4j. 
• Experience developing and deploying REST APIs. 
• Good knowledge of Unit Testing and available Test Frameworks. 
• Good understanding of advanced JS libraries and frameworks. 
• Experience with Web sockets, Service Workers, and Web Push Notifications. 
• Familiar with NodeJS profiling tools. 
• Proficient understanding of code versioning tools such as Git. 
• Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms. 
• Should be a fast learner and a go-getter — without any fear of trying out new things Preferences. 
• Experience building a large scale social or location-based app.

• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

What will we be building together?

1K Kirana Bazaar (1K) is building Bharat's first hyperlocal offline-online distribution platform. Our aim is to provide the benefits of technology and scale to the underserved first time internet users of Bharat. We use the efficiencies of the existing kirana store network and empower them with a full technology stack to fulfill all needs of our consumers.

Over the next 2 years our goal is to transform the lives of millions of new age consumers of Bharat and at the same time make the lives of thousands of retailers more fulfilling! With our end to end integrated supply chain and technology stack, we are already disrupting the traditional supply chain and bringing in innovation and gamification to the traditional shopping and consumption process. The growth process will demand exploration of technologies like Blockchain, Artificial Intelligence, IPFS, Distributed Computing, and IOT to name a few to fuel the idealistic model design for the making of an evolved #bharat. We visualise seamless access to every consumer or a mom & pop store in the deepest rooted corners of India.

What will you be driving with the team?

To build full-stack solutions for retail & supply chain from managing purchases to selling products to end consumers. You will work on solving some of the complex problems of the retail industry.

Your core responsibilities:

• Solve complex problems and follow good coding practices and complying with existing quality standards.
• Evaluate existing engineering processes and recommend improvements.
• Setup high-quality standards in production running code by performing diligent code reviews and rigorous unit test coverage.
• Brainstorm (sometimes, even prototype) features with the rest of the team based on your knowledge of the codebase.
• And of course, there's always bugs to fix, based on your personal experience or feedback from the team and the 1K community.

What will help you thrive in this role? 

• A bachelor’s degree in Computer Science or a related field is preferred.
• 6 month+ experience in software development.
• Knowledge of programming languages.
• Should possess a solid grasp of object-oriented programming, data structures, and software design.
• Experience with AWS infrastructure and distributed systems is a plus.
• Highly developed attention to detail.
• Ability to work well in a fast-paced environment.

Whom you will be sharing your workday with?

We are a language-agnostic engineering team of independent thinkers who understand the priorities of a rapidly growing startup and excel at choosing high impact projects. Our core beliefs are: 

• We are at the forefront of disrupting the traditional retail & supply chain industry by building distributed systems
• We are hardcore open source lovers and believe in the strength of the open-source community.
• We believe technology can change the way information is consumed.
• We use a data-driven approach to build new products and features.
• Build new tech solutions to improve business processes and enable our various departments to help service our teams better.
• We embrace and enable DevOps culture within the organisation.

And yes! We do have new furry friends coming to our office every day.

Work Perks

• Hybrid work environment with flexibility to work from anywhere. 
• A great salary, commensurate with experience.
• Unlimited vacation policy which means Paid Vacations.
• A relaxed & flexible working atmosphere.
• Weekly parties (Unofficial).
• Paid outings to remote work locations and industry events/conferences.
• Paid Health Insurance for you and your loved ones.

What if, you had a chance to build something iconic?