Python
Django- Python developer with Django experience
- 6-8 yrs of total experience
- Strong communication is a MUST
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonStrong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
Mandatory (Experience 3) – Must have hands-on experience architecting production generative AI applications — LLM integrations, vector databases, RAG systems, and evaluation pipelines
Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
PythonCompany Description
Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.
From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.
With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.
About the Role
Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.
This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.
The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.
Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.
What You'll Own
- Build and scale backend systems powering the memory infrastructure of the product
- Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
- Design, manage, and optimize database, storage, and retrieval systems for persistent memory
- Collaborate closely on system architecture, scalability, performance, and reliability engineering
- Contribute directly to product roadmap decisions based on real customer usage and production insights
Requirements
Must-Have
- 7–10 years of backend engineering experience
- Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
- Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
- Strong Python fundamentals
- Strong PostgreSQL or comparable relational database fundamentals
- Comfort owning systems end-to-end in production
- Based in India, remote work from anywhere in the country
Nice-to-Have
- Prior AI infrastructure or developer tools product experience
- FastAPI fluency
- Open-source contributions in AI, memory, vector databases, or developer tools
- Prior experience in memory systems, RAG pipelines, or vector database engineering
- Public technical writing or conference talks on AI-native engineering practices
PythonLocation: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
Python
React.js
NextJs (Next.js)
Amazon Web Services (AWS)Numino Labs
Business: Software product engineering services: Pune, Goa.
Clients: Software product companies in the USA.
Business model: Exclusive teams for working on client products; direct and daily interactions with clients
Client
Silicon Valley startup in genAI: 45m+ in funding.
Product: B2B SaaS.
Core IP: Physics AI foundation model for hardware designers with specific focus on semi-conductor chip design.
Customers: World's top chip manufacturers
Responsibilities
- Team player: Delivers effectively with teams; interpersonal skills, communication skills, risk management skills
- Technical Leadership: Works with ambiguous requirements, designs solutions, independently drives delivery to customers
- Hands on coder: Leverages AI to drive implementation across Reactjs, Python, DB, UnitTest, TestAutomation & Cloud Infra & CI/CD Automation.
Requirements
- Strong computer science fundamentals: data structures & algorithms, networking, RDBMS, and distributed computing
- 8-15 years of experience on Python Stack: Behave, PyTest, Python Generators & async operations, multithreading, context managers, decorators, descriptors
- Python frameworks: FastAPI or Flask or DJango or SQLAlchemy
- Expertise in Microservices, REST/gRPC APIs design, Authentication, Single Sign-on
- Experience in high performance delivering solutions on Cloud
- Some experience in FE: Js & Nextjs/ReactJs
- Some experience in DevOps, Cloud Infra Automation, Test Automation
Python
MongoDB
JavaImmediate Joiners Preferred. Notice Period - Immediate to 30 Days
Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
About Us
adesso India is a dynamic and innovative IT Services and Consulting company based in Kochi. We are committed to delivering cutting-edge solutions that make a meaningful impact on our clients. As we continue to expand our development team, we are seeking a talented and motivated Backend Developer to join us in creating scalable and high-performance backend systems.
Job Description
We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.
Responsibilities
- Development and maintenance of data pipelines and automation scripts with Python
- Creation of data queries and optimization of database processes with SQL
- Use of bash scripts for system administration, automation and deployment processes
- Database and cloud technologies
- Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake)
- Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular
- Composer (Airflow): Orchestration of data pipelines for ETL processes
- Cloud Functions: Development of serverless functions for data processing and automation
- Cloud Scheduler: Planning and automation of recurring cloud jobs
- Cloud Secret Manager: Secure storage and management of sensitive access data and API keys
- BigQuery: Processing, analyzing and querying large amounts of data in the cloud
- Cloud Storage: Storage and management of structured and unstructured data
- Cloud monitoring: monitoring the performance and stability of cloud-based applications
- Data visualization and reporting
- Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI
Requirements
- Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.
- Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.
- Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP
- Combined with cloud storage technologies, cloud monitoring and cloud secret management
- Excellent communication skills to effectively collaborate with team members and stakeholders.
Nice-to-Have:
- Knowledge of agile methodologies and working in cross-functional, collaborative teams.
Ruby on Rails (ROR)
RubyPythonSimpl (Fintech of the year - 2020) is a platform that empowers retailers to grow by building long term trusted relationships with their customers, one transaction at a time. For consumers, Simpl provides frictionless access to e-commerce, trust, safety and effortless budgeting, in 1-click.
Under the hood, we are building the payments infrastructure (identity, trust score and security) ground up for a world that is mobile first, where consumers frequently buy on the go & love convenience.
Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards a new world of Networked Commerce where commerce is easy, safe, affordable without fine prints & just Simpl!
Simpl was founded in 2015 by Nityanand Sharma and Chaitra Chidanand, and went live in 2016.
Role Summary:
We’re looking for polyglot developers who love to code. You should have >4 years of experience building high-quality products. You should have the ability to write clean code and must’ve worked on Ruby on Rails
Python
DockerYou will be building product features solving complex business problems using state of the art technologies (Docker, Kubernetes, GCP, Python, Angular, ML/AI) in an ownership and integrity driven culture.
What will you do:
- Architect full-stack solutions for complex business requirements in a fast-paced environment while optimising for scalability, performance, concurrency, availability, security and code quality.
- Own and execute engineering projects end to end including API design, DB design, project planning, coding, and fluent communication with the rest of the team.
What we’re looking for:
- Bachelors/Masters in Computer Science or a related field
- Experience 3-6 years
- Strong ownership, integrity and drive to succeed individually and as a startup
- Good grasp on algorithms and data structures
Python
NodeJS (Node.js)Java● You’ve been building scalable backend solutions for web applications.
● You have experience with any of these backend programming languages -- Python,
NodeJS or Java.
● You write an understandable, very high quality, testable code with an eye towards
maintainability.
● You are a strong communicator. Explaining complex technical concepts to designers,
support, and other engineers is no problem for you.
● You possess strong computer science fundamentals: data structures, algorithms,
programming languages, distributed systems, and information retrieval.
● You have completed a bachelor's degree in Computer Science, Engineering or related
field, or equivalent training, fellowship, or work experience.
RubyRuby on Rails (ROR)PythonAs an experienced engineer we know that you have built software to solve various business problems at your previous workplaces. You may have also explored technologies on your own for your learning or hobby projects.
- You will be building APIs for the Synup platform and also UI to make our platform capabilities available to our customers.
- You and the team that you are a part of will be collectively responsible building performant software and customer experiences that scale to our next million customers.
- You will be responsible for writing technical specs and contributing to it's implementation. We expect that you would have done the same in your previous workplaces.
- Other folks on our team are looking forward to learn from your experiences.
For engineers that join our team
- We expect you to be good with Ruby or Python to build APIs.
- You will be contributing to our UI that is built with React and GraphQL.
- We hope our team members have a strong grasp of software design patterns and know when to put them to good use.
- Experience with an SQL datastore would help a lot. PostgreSQL is our primary datastore.
- We optimize our search functionality and rollup reports by using ElasticSearch
- We expect that you have used Redis. Redis is our swiss army knife to solve a lot of problems apart from just caching.
PythonAbout Us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take
key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable
competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to
help businesses develop data-driven strategies and make smarter decisions.
Products@DataWeave
We, the Products team at DataWeave, build data products that provide timely insights that are readily
consumable and actionable, at scale. Our underpinnings are: scale, impact, engagement, and visibility. We help
businesses take data driven decisions everyday. We also give them insights for long term strategy. We are
focussed on creating value for our customers and help them succeed.
How we work
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest
data problems that there are. We are in the business of making sense of messy public data on the web. At
serious scale! Read more on Become a DataWeaver
What do we offer?
● Opportunity to work on some of the most compelling data products that we are building for online
retailers and brands.
● Ability to see the impact of your work and the value you are adding to our customers almost immediately.
● Opportunity to work on a variety of challenging problems and technologies to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses, trainings, and tech conferences. Mentorship from seniors in the
team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Role and Responsibilities
● Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics
functionality
● Build robust RESTful APIs that serve data and insights to DataWeave and other products
● Design user interaction workflows on our products and integrating them with data APIs
● Help stabilize and scale our existing systems. Help design the next generation systems.
● Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
● Work closely with the Head of Products and UX designers to understand the product vision and design
philosophy
● Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and
interns.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.
Skills and Requirements
● 4-7 years of experience building and scaling APIs and web applications.
● Experience building and managing large scale data/analytics systems.
● Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
● Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
● Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
● Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc.
● Working knowledge of building websites and apps. Good understanding of integration complexities and
dependencies.
● Working knowledge linux server administration as well as the AWS ecosystem is desirable.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon