C++
Python- 4–7 years of professional C++ experience in performance-critical systems
- Expert knowledge of modern C++ (C++11/14/17)
- Strong understanding of data structures, algorithms, and memory models
- Deep experience with multithreading, atomics, lock-free programming, and CPU cache behaviour
- Excellent knowledge of Linux internals and system-level programming
- Experience with low-level debugging and profiling (gdb, perf, valgrind, flamegraphs)
- Proficiency with CMake/Make and Git
2. Trading Systems Experience (Highly Preferred)
- Hands-on experience with order management systems (OMS) and execution engines
- Knowledge of exchange protocols: FIX, ITCH, OUCH, FAST
- Experience handling market data feeds (L1/L2, multicast, UDP)
- Understanding of latency measurement, clock synchronization, and time stamping
- Experience with network tuning (kernel bypass, socket tuning, CPU pinning)
- Familiarity with trading lifecycle, risk checks, and throttling mechanisms
3. Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
4. Soft Skills (Important for Trading Firms)
- Ability to work under extreme time and accuracy pressure
- Strong ownership of production systems
- Clear and direct communication with traders and quants
- Bias toward simple, fast, and reliable designs
5. Key Responsibilities
- Design, develop, and optimize ultra-low-latency C++ trading applications
- Build and maintain exchange connectivity and order execution systems
- Develop real-time market data pipelines with strict latency requirements
- Optimize systems at CPU, memory, and network levels
- Implement lock-free or low-lock concurrent designs
- Analyze latency using profiling tools and improve tail latency
- Ensure high availability, fault tolerance, and rapid recovery
- Work closely with Traders and Quant Researchers to implement strategies
- Participate in architecture and performance design reviews
- Review code, enforce best practices, and mentor junior engineers
- Support production systems and handle time-critical issues when needed
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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Python- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
Screening Priority:
Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness
PythonExperience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)
---
WHAT WE'RE BUILDING
We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They
tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.
That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,
recover, ship.
Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill
modules. The agent isn't bolted onto the product. She is the product.
Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.
---
THE ROLE
We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the
streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.
This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in
between.
Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack
features when needed.
---
THE STACK
AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers
API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events
Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments
Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js
Monorepo: Turborepo, pnpm
---
WHAT YOU'LL WORK ON
The majority of your time is here:
Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery
across 83 tools and 63 skill modules. This is the core of the product.
Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,
reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.
Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild
bundling. The agent lives here.
State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How
the agent knows what it knows.
Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.
Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result
caching. Audit-at-scale infrastructure.
The remaining ~25% of your time:
Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these
end to end — backend first, frontend to close the loop.
---
WHAT WE'RE LOOKING FOR
Must-have:
- 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is
the norm for people who thrive here.
- Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.
- Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool
use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.
- Strong Python. You design and ship production Python daily. The agent codebase is yours to own.
- Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.
- AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about
working with coding agents because you do it constantly.
- Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.
- Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.
Strong plus:
- Background in developer tools, IDEs, or coding/execution platforms
- Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)
- Depth in PostgreSQL, Redis, and Supabase
- LLM observability and evals tooling (LangSmith or similar)
- NestJS or equivalent Node.js API framework experience
- React/Next.js — enough to ship a full-stack feature without handoff
- Exposure to marketing, growth, or publisher-facing products
---
WHY THIS ROLE IS DIFFERENT
You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.
The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision
touches what Juliet can and can't do.
Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical
users who can't course-correct a broken output. The bar is high.
Small team, real leverage. Your code ships to users the same week. No layers of approval.
---
HOW TO APPLY
Send us:
1. A short note on the most complex agentic system you've shipped: what broke, and what you'd redo. A link to something you've built that involves agent graphs, tool use, or autonomous multi-step execution
2. What is one thing you would improve about Juliet? It could be a feature or a bug.
JavaJava Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Required Skills: • Exp. - 4 to 7 years. • Experience in Core Java and Spring Boot. • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills. • Strong interpersonal, communication and analytical skills. • Should have the ability to express their design ideas and thoughts.
Go Programming (Golang)
Ruby on Rails (ROR)
RubyPythonJavaJob Description
This is a remote position.
Requirements
- You need to be excited about the problem that we are trying to solve
- Should have excellent command over designing systems with a minimum experience of 4 years.
- Should have experience with various database flavors and writing complex queries. We work with Postgres, Redshift, ElasticSearch, TimescaleDB, and Redis.
- Additional knowledge in Golang will be an advantage
- Strong Data Structures and Algorithms knowledge
- Should have created APIs from scratch which is being used in Production
- Should be comfortable with creating systems handling up to 100k requests per minute, and have a mindset that understands scale
- Ability to give clarity and communicate well with the team, including Product, Backend and Dev-Ops (if and when needed)
- Ability to use profiling tools well, getting to root causes of bugs fast
- Ability to pick and work on adjacent technologies if and when required (Eg: If the best performance monitoring solution needs a basic firebase setup, that should not be a blocker for you to go ahead and do so)
- Knowledge of how to set up relevant test cases
- You need to be comfortable working in a remote environment (Good internet connection and availability on phone is required)
- App Development experience
- Experience in Test Driven Development
- Ability to tell Product what creates better User Experience, ability to tell frontend what API responses will help the user get a faster load time
- Inquisitiveness to understand the system as a whole, and not only be stuck to your domain of expertise (Eg: Figure out why excessive APIs calls are being made, brainstorm with Product and Frontend team to reduce the same without harming the UX )
- Experience in working on a Social Media Product
- Good knowledge of Graphs, and their applications
- Data-Driven Approach to monitoring
Benefits
- Work timings - You are the master of your time. However, with great freedom comes great responsibility. If you have committed something to the team, we expect that you will give it your best to make sure that commitment is done and is done on time.
- Leave policy - Take a leave whenever for whatever reason you want. You don't need to explain yourself to us
- Health insurance for you and your family
JavaPython
Javascript- BS in CS or EE or equivalent
- Experience working on large scale systems in rapid growth environments
- Experience with public cloud offerings (AWS, GCP, Azure)
- Solid programming skills; preferred experience in Java, and/or Python
- Experience with modern web frameworks, advanced algorithms/data intelligence, public
- cloud platforms and streaming data pipelines
- Familiarity with containerization, microservices architecture, continuous integration, and delivery
- 5+ years’ experience preferred
PHP
LaravelPython
React.jsAbout SafeGold
Gold is the most trusted asset across the entire world and one of the largest asset classes in India. The total traded value of gold in India exceeds $300 billion annually – nearly all of it in an unorganised, offline manner. We, at SafeGold, are building the digital infrastructure to organise the gold market using technology. SafeGold is India’s largest digital gold platform with 35 million customers and 100+ distribution partners across India, Thailand and UAE. The focus has always been on revenues and profitability growth which has been widely recognised.
#9 in 2023 ET Growth Champions (India)
#21 in 2023 FT High Growth Companies (Asia)
With revenues of more than Rs. 4,500 crs in the year ending March-23, we have been part of the Financial Times rankings of the fastest growing startups in the Asia-Pacific region since 2021 till date.
SafeGold is backed by the World Gold Council and leading venture capital funds, Beenext and Pravega.
Job Description
We’re a small team with insanely large ambitions. We are looking for a Software Engineer who will help shape Safe Gold’s product and marketing strategies by processing, analyzing and interpreting data sets. You will work closely with the tech, product and business teams for designing and developing a scalable application architecture, based on business requirements. The ideal candidate will have proficiency in
PHP and Relational as well as NoSql Databases (MySQL,MongoDB). You will have strong problem-solving skills and independent self-direction to thrive in our work environment.
What will your job entail:
● Implement a robust set of services and APIs to power the web application.
● Build reusable code and libraries for future use.
● Optimize the application for maximum speed and scalability.
● Implement security and data protection as per industry standards.
● Monitor the front-end and back-end aspects of the web application
● Coordinate with the product team to understand the requirements and formulate a detailed technical documentation.
● Assist junior developers if required.
Key Requirements:
● 4-7 years of experience in software development, at least 1 year of experience in a product based startup is preferable
● Strong understanding of MVC Architecture
● Atleast 2-3 years of working experience in PHP is a must have and proficiency in Laravel Framework will be a plus
● Proficient knowledge of both Relational as well as NoSql Databases (MySQL,MongoDB) is a must have
● Working knowledge of Python and Django/Flask Framework is good to have
● Familiarity with advanced JavaScript libraries and frameworks such as AngularJS, ReactJS
● Strong understanding of fundamental design principles to build a scalable application.
● Experience with implementing automated testing platforms and unit tests.
● Proficient understanding of code versioning tools (Git).
● At least 2 years of experience working on AWS cloud platform, using tools like EC2,RDS,Lambda, SQS, Elasticache
C++
C#► Experience with C++ Windows and Linux operating system is mandatory.
► Sound knowledge of STLs, multithreading.
► Good understanding of OOP, design patterns and their application.
► Know-how on writing applications using the STL and/or BOOST.
► Knowledge of Agile development methodologies (e.g., XP, Scrum) and agile
engineering practices (e.g.TDD).
► Knowledge of Scripting languages such as shell / bash scripts are desired.
► Good knowledge of SVN or any Source control.
► Experienced with unit test frameworks.
► Computer Science (or related) degree.
Desired Skills
► Understanding of capturing functional requirements through use cases, user
stories and personas.
► Experience with test-driven development and test-driven design.
► Willingness to travel to Germany on a Short/Long term basis.
JavaPythonGo Programming (Golang)Candidates should have worked with Startups (IT Product Firms)
Should be from B2C Firms/Product/SaaS Firms
Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms
Your Experience Across The Years in the Roles You’ve Played
- 6+ years of technology experience (at least 2 years in direct engineering management)
- Managing a 5-15 member engineering team in an agile product org
- Track record of collaborative working with multiple stakeholders
- Planning and analysis with effective communication skills
You’ll Be Improving & Responsible For
- Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
- Collaboration across cross-functional stakeholders to ensure delivery timelines are met
- Implementing product engineering best practices, and evangelizing them within the org
- Engineering management with a strong sense of ownership
- Problem solving with a clear and analytical approach and organized work habits
- Technological innovation in agile product engineering scenarios
- Product and business management principles and metrics
NodeJS (Node.js)
PostgreSQL
Amazon Web Services (AWS)JavaAmazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon