Backend Engineer

Job Description:

• Experience in Python (Only Backend), Data structures, Oops, Algorithms, Django, NumPy etc.

• Notice/Joining of not more than 30 days.

• Only Premium Institute- Tier 1 and Tier 2.

• Hybrid Mode of working.

• Good understanding of writing Unit Tests using PYTest.

• Good understanding of parsing XML’s and handling files using Python.

• Good understanding with Databases/SQL, procedures and query tuning.

• Service Design Concepts, OO and Functional Development concepts.

• Agile Development Methodologies.

• Strong oral and written communication skills.

• Excellent interpersonal skills and professional approach Skills desired.

We’re seeking a Back-End Developer with hands-on experience in Node.js or any other modern backend framework. You’ll be responsible for building robust, scalable APIs and server-side logic powering Zilo’s high-velocity quick commerce platform.

Key Responsibilities

Develop, maintain, and optimize back-end applications and APIs.

Work on microservices, API integrations, and data modeling.

Ensure system scalability, reliability, and performance under high traffic.

Collaborate with front-end and mobile developers for seamless API integration.

Implement best practices in code quality, security, and database design.

Troubleshoot production issues and support deployment cycles.

Technical Skills Required

Strong proficiency in Node.js, Express.js, or similar backend frameworks.

Experience in MongoDB, MySQL, or PostgreSQL.

Understanding of RESTful APIs, authentication (JWT/OAuth), and middleware.

Familiarity with AWS, Docker, or other deployment environments.

Hands-on experience with Git and CI/CD pipelines.

Knowledge of other programming languages like Python, Java, or Go is an added advantage.

Primary responsibilities:

•Design, develop AWS IoT/Cloud-based applications using Typescript, Node.Js.

•Work closely with onsite, offshore, and cross functional teams, Product Management, frontend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery.

•Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program.

•Assertive communication and team skills.

•This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.

Experience and Skills Required:

•More than 6 years of overall experience in Software domain.

•At least 3 years of experience in Cloud native applications.

•Solid working knowledge of Typescript, NodeJS.

•Thorough working knowledge in AWS, Lambdas, Microservices etc.,

•Experience in executing CI/CD processes

•Experience in Microservices Architecture

•Good Knowledge on Cloud security & security design control implementation.

•Knowledge of (AWS IoT Core) and In-depth knowledge of AWS cloud native services including Kinesis, DynamoDB, Neptune, Lambda, API Gateway, Timestream , IoT Core, GreenGrass, Aurora, Lambda, etc.

•Great knowledge in Agile/Scrum

RazerTech Consulting is mandated to hire a Technical Lead for a US based Tech Company that offers a cloud-based, AI?powered image editing and automation platform for leading brands in ecommerce, fashion, marketplaces & photo studios. The platform helps creatives and marketers produce stunningly consistent imagery and video content at scale.

Role Overview :

Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader : writing clean Java and TypeScript/Node.js, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. Ideally, youre also familiar with Python for deploying ML pipelines.

(Note : This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.)

What Youll Do :

• Lead development of the Java, Node.js and Python (FastAPI) backend services on AWS
• Build high-performance image processing pipelines using ImageMagick, SharpJS, and SVG manipulation
• Implement automated visual content generation using Headless Chrome and Puppeteer or similar tools.
• Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2.
• Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2
• Contribute to React/TypeScript frontend when needed to accelerate product delivery
• Work closely with the founder, product, and UX teams to translate business needs and PRDs into features that drive productmarket fit.
• Make architecture and infrastructure decisions from media processing to task queues to storage
• Own the performance and cost-optimization of our AWS platform
• Hire and mentor junior/mid engineers over time
• Drive technical planning, sprint prioritization, and trade-off decisions

Must have Skills :

• Backend Development (57 years) : Java, Node.js, TypeScript, RESTful API, Docker
• AWS Expertise (5+ years) : AWS Lambda, ECS, EC2, S3, DynamoDB, CloudWatch, IAM, roles
• Image Processing & Media Technologies : ImageMagick, SharpJS, SVG manipulation and programmatic generation, Headless Chrome, Puppeteer
• System Optimization & Middleware (35 years) : AWS cloud cost optimization, Celery, BullMQ, AWS Step Functions
• Frontend Development (23 years) : React, TypeScript, Redux, Context API, CI/CD pipelines.
• System Design & Architecture (46 years) : Event-driven architectures using queues, microservices-based systems, caching strategies (e.g., Redis, CDN edge caching)
• Leadership & Communication (23 years) : Lead engineering teams and drive project delivery

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Proven 2 to 12 years of professional experience in Node.js development
• Strong proficiency in JavaScript, including ES6+ syntax
• Expertise in designing and developing RESTful APIs and microservices architecture
• Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
• Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
• Solid understanding of asynchronous programming, event-driven architecture, and design patterns
• Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Familiarity with containerization technologies (e.g., Docker, Kubernetes)

The tech stack looks like the below (expect this to change as we scale):

1. Typescript for APIs (REST and GraphQL)
2. Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
3. Solidity + hardhat for smart contracts (in the future, rust, go and move)
4. AWS & Terraform
5. Full nodes

You can expect to do some or all of the following:

1. Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
2. Architect the backend for APIs, async jobs, and blockchain integration
3. Build clean, concise APIs for customer integration, along with the documentation
4. Setup, run and maintain full and archive nodes across different chains
5. Integrate with multiple partners like exchanges and custody providers
6. Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
7. Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
8. Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
9. Manage production deployments, logging, and monitoring

We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.

1. Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
2. We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
3. Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
4. You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone

Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
• 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.