Lead Engineer

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

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.

Company: SecuvyAI, Backed by Dell Technology Ventures

Location: Hyderabad

About Secuvy: 

At Secuvy, we believe Privacy & Data Security will be a necessity for every global brand. Our mission is to provide best in class Contextual Data Intelligence tools to monitor, automate & simplify data governance for security, compliance & legal teams. We hire out of the box thinkers with the passion, creativity, and perseverance to handle constantly expanding data sprawls and deliver impactful results to our customers. Secuvy’s team comprises experts with Deep AI & Security background who have launched products for Fortune 100. We are backed by Dell Technology Ventures & Top Security VC firms in Silicon Valley. Learn more at www.secuvy.ai 

About the Role: 

Our enthusiasm for leadership driven by purpose is unwavering. We believe that every individual holds latent abilities waiting to be discovered and that a bold, unconventional approach is necessary to unleash them. We have grand aspirations and never settle for mediocrity. We are meticulous in our attention to detail. Our desire to tackle challenging issues and achieve exceptional outcomes for our customers is what drives us to always strive for excellence

Responsibilities: 

• Design and develop high-quality, scalable, and performant software solutions using NodeJS and AWS services.
• Collaborate with cross-functional teams, including product managers, designers, and other engineers, to identify and solve complex business problems.
• Design and develop large-scale distributed systems that are reliable, resilient, and fault-tolerant.
• Write clean, well-designed, and maintainable code that is easy to understand and debug.
• Participate in code reviews and ensure that all code is of high quality and adheres to best practices.
• Troubleshoot and debug production issues and work with the team to develop and implement solutions.
• Stay up-to-date with new technologies and best practices in software engineering and cloud computing.
• Experience with Data Security or Cybersecurity Products is a big asset

Requirements: 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• At least 2-4 years of professional experience in building web applications using NodeJS and AWS services.
• Strong understanding of NodeJS, and experience with server-side frameworks such as Express and NestJS.
• Strong experience in designing and building large-scale distributed systems, with a solid understanding of distributed computing concepts.
• Hands-on Experience with AWS services, including EC2, S3, Lambda, API Gateway, and RDS.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong understanding of software engineering best practices, including agile development, TDD, and continuous integration and deployment.
• Hands-on Experience with Cloud technologies including Kubernetes and Docker.
• Experience with no-sql technologies like MongoDB or Azure Cosmos
• Experience with a distributed publish-subscribe messaging system like Kafka or redis Pubsub
• Experience developing, configuring & deploying applications on Hapi.js/Express/Fastify.
• Comfortable writing tests in Jest
• Excellent problem-solving and analytical skills, with the ability to identify and solve complex technical problems.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Why Work With Us? 

• Join a rapidly growing startup with a passionate team of experts at the forefront of data privacy & security.
• Opportunity to play a key role in shaping the technical vision and strategy for Fortune 1000 Customers.
• Work in a dynamic, fast-paced environment where you can make an impact and drive change.
• Enjoy a competitive salary, benefits, and opportunities for growth and advancement.
• If you are a passionate, self-motivated, and experienced Senior NodeJS Software Engineer with expertise in AWS and large-scale system design, we would love to hear from you!

About us :

Infosec Ventures incubates and scales cyber security innovators that solve for inefficiencies in cyber security, solve big problems and deliver exceptionally high return on investment for customers. We are on a mission to make the world cyber safe, by protecting systems and the 'human operating system'. Some notable current ventures include humanfirewall.io, emailauth.io, bugsbounty.com, securityrating.com among others. An idea is worth one dollar, it's the execution that adds the zeros at the end of it, to make it a billion dollars!

Job Description :

If you are a software developer, and have hands-on experience with

- Laravel and/or NodeJS

- Angular JS, VUE JS

- Mongo, MySQL

- You have built SaaS products

Roles :

- The person is responsible coding, designing and modifying web applications, from layout to -function and according to a product's specifications.

- Strive to create visually appealing applications that feature user-friendly design and clear navigation.

- Deep expertise and hands on experience with Web Applications and programming languages such as Laravel framework, Laravel 5 Framework, PHP 7, MySQL, HTML, CSS, JavaScript,

- JQuery, Angular JS, Node JS and REST APIs.

You will be responsible for developing features on the application and integrations end to end. You will be working closely with the Technical Team to come up with high-quality, resilient, and highly performant applications.‍

• Design and develop SaaS-based applications based on microservices architecture.
• Work on the core backend and ensure it meets the performance benchmarks.
• API and Integrations
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.
• Work on the front end with ReactJS is a plus point.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent
• 5+ years of experience
• Agnostic/Polyglot with multiple tech stacks
• OAuth, API Integrations.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, CouchDB, DynamoDB, Clickhouse, Kafka
• Backend exposure – good knowledge of building and integrating APIs
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Excellent knowledge and understanding skills on oAuth.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

You will work with a top-notch tech team, working closely with the architect and engineering head. 

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Compass.

We at Compass strive to make selling fun with our SaaS incentive gamification product.  Compass is the #1 gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards, and analytics to help accelerate performances and sustain growth.

We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done. Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.

If you find this role exciting and want to join us in Bangalore, India, then apply by clicking below. Provide your details and upload your resume. All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.

• Architect new and optimize existing software codebases and systems used to crawl, launch, run, and monitor the Anakin family of app crawlers
• Deeply own the lifecycle of software, including rolling out to operations, managing configurations, maintaining and upgrading, and supporting end-users
• Configure and optimize the automated testing and deployment systems used to maintain over 1000+ crawlers across the company
• Analyze data and bugs that require in-depth investigations
• Interface directly with external customers including managing relationships and steering requirements

• Extremely effective, self-driven builder
• 2+ years of experience as a backend software engineer
• 2+ years of experience with Python
• 2+ years of experience with AWS services such as EC2, S3, Lambda, etc.
• Should have managed a team of software engineers
• Deep experience with network debugging across all OSI layers (Wireshark)
• Knowledge of networks or/and cybersecurity

• Broad understanding of the landscape of software engineering design patterns and principles
• Ability to work quickly and accurately in a highly stressful environment during removing bugs in run-time within minutes
• Excellent communicator, both written and verbal

• Must be available to work extended hours and weekends when needed to meet critical deadlines
• Must have an aversion to politics and BS. Should let his/her work speak for him/her.
• Must be comfortable with uncertainty. In almost all the cases, your job will be to figure it out.
• Must not be bounded to comfort zone. Often, you will need to challenge yourself to go above and beyond.

You will be building efficient, scalable & high performance microservices and applications which will power the network of thousands of retailers across the country and at the same time improve the efficiency and visibility of information flow in our supply chain systems.

Your core responsibilities:

• Create elegant, efficient and maintainable software to support and extend our current products.
• Solve complex architectural challenges when implementing new features.
• Integrate with databases, file systems, cloud services when delivering scalable solutions.
• Troubleshoot and fix reported customer issues, delivering software patches as needed.
• Assisting in making design decisions based on performance, scalability, security, and future expansion.
• Communicating and collaborating with management, product, QA teams.

What will help you thrive in this role?

• Degree in Computer Science, similar technical field of study or equivalent practical experience.
• 5+ years of experience as a Backend Engineer.
• Proficiency in web development using any of the languages: PHP, Python, Java, NodeJS or Golang.
• Should possess a solid grasp of object-oriented programming, system architecture & design, databases, development, and testing methodologies.
• Good in Design (HLD and LLD).
• Good in Database schema design.
• Good to have experience with AWS or Google Cloud or Azure and serverless architecture.
• Excellent verbal communication skills.
• Track record of delivering successful products as an engineer.
• Experience with large applications of some scale will be a plus.
• Ability to deep dive, understand & improve the legacy code.
• Domain knowledge of supply chain & retail industry is a plus.

Whom you will be sharing your work day with? 

• We are in the forefront of disrupting traditional retail & supply chain industry by building distributed systems
• We are hardcore open source lovers and believe in the strength of 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 everyday.

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.