
Backend Engineer
at Cloud infrastructure solutions and support company. (SE1)
- Set up, manage, automate and deploy AI models in development and production infrastructure.
- Orchestrate life cycle management of AI Models
- Create APIs and help business customers put results of the AI models into operations
- Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
- Validate the AI Models
- Make model performant (time and space) based on the business needs
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Processing, cleansing, and verifying the integrity of data used for analysis
- Ensuring that algorithms generate accurate user recommendations/insights/outputs
- Keep abreast with the latest AI tools relevant to our business domain
- Bachelor’s or master's degree in Computer Science, Statistics or related field
- A Master’s degree in data analytics, or similar will be advantageous.
- 3 - 5 years of relevant experience in deploying AI models to production
- Understanding of data structures, data modeling, and software architecture
- Good knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python/ R
- Proficiency in using query languages, such as SQL
- Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
- Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
- Having knowledge in CI/CD for the building and hosting the solutions
- We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
- Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

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- 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
About Techjays
At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.
About the Role
This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.
What You'll Do
- Architect and scale backend systems powering AI-driven applications
- Design and implement RAG pipelines, AI agents, and LLM integrations
- Own systems end-to-end — from architecture to deployment and scaling
- Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
- Build high-performance distributed systems with observability and cost efficiency
- Lead backend and AI initiatives with strong technical ownership
- Mentor engineers and raise the technical bar across teams
- Collaborate with product and AI teams to deliver AI-native solutions
What We're Looking For
- 6–10 years of strong backend engineering experience
- Hands-on expertise in Python (FastAPI / Django / Flask)
- Deep understanding of Generative AI and LLM-based systems
- Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
- Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
- Proficiency in AWS or GCP in production environments
- Experience with distributed systems, microservices, and system design
- Strong grasp of Data Structures, Algorithms, and Design Patterns
- Familiarity with WebSockets, Git, Linux/Unix, and CI/CD
Nice to Have
- Experience with Anthropic Claude API and Claude Code
- Familiarity with real-time data systems or streaming (Kafka, etc.)
- MLOps and AI system lifecycle experience
- Optimizing AI systems for latency, cost, and scalability
Who You Are
- You think in systems, not just features
- You take full ownership of what you build
- You are comfortable navigating fast-moving, ambiguous environments
- You stay updated with the latest in Generative AI and backend technologies
- Strong communicator who can collaborate across teams and global clients
What We Offer
- Competitive compensation (Best in Industry)
- Work on production-grade AI systems used by global clients
- Exposure to cutting-edge AI tools and frameworks
- A culture that values clarity, integrity, and continuous growth
UKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.
This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.
UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.
Primary Responsibilities:
- Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
- Engage in code reviews and training of team members.
- Support continuous deployment pipeline code.
- Situationally troubleshoot production issues alongside the support team.
- Continually research and recommend product improvements.
- Create and integrate features for our enterprise software solution using the latest Python technologies.
- Write web services, business objects, and other middle-tier framework using Python
- Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
- Leverage open-source and other technologies and languages outside of the Python platform.
- Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
- Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
- Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.
Qualifications
- 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
- Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
- Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
- Proficiency with Git as a version control system
- Experience with Docker and Kubernetes
- Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
- Experience with object-oriented languages: Python, Java, Scala, C#, etc.
- Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
- Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
- Excellent problem solving and communication skills.

- Develop front end User Interface of our UKLB Experience Analysis (Biometrics) tool using SharePoint, PowerApps, Power Automate and Logic Apps
- Connection of UI with back end SQL Database using Logic Apps - Advise solution design as a Logic Apps expert (specifically around UI)
- Responsible for managing technology in projects and providing technical guidance or solutions for work completion
Skills and Experience
- Experience with Azure services like Azure App Services, Azure Active Directory, Azure SQL, Azure PostgreSQL, Key Vault, Azure DevOps, Application Insights, Azure Storage, Redis Cache
- Microsoft Azure Developer Certification
- Experience with .Net SDK, integration tools, Application and Security frameworks
- C#, ASP.NET, Application development using .Net Framework
- Preferred: Insurance or BFSI domain experience
- .Net
- Azure/
Location: Chennai
Salary : 15-20 LPA
Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.
Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics.
Strong Core Java / C++ experience
· Excellent understanding of Logical ,Object-oriented design patterns, algorithms and data structures.
· Sound knowledge of application access methods including authentication mechanisms, API quota limits, as well as different endpoint REST, Java etc
· Strong exp in databases - not just a SQL Programmer but with knowledge of DB internals
· Sound knowledge of Cloud database available as service is plus (RDS, CloudSQL, Google BigQuery, Snowflake )
· Experience working in any cloud environment and microservices based architecture utilizing GCP, Kubernetes, Docker, CircleCI, Azure or similar technologies
· Experience in Application verticals such as ERP, CRM, Sales with applications such as Salesforce, Workday, SAP < Not Mandatory - added advantage >
· Experience in building distributed systems < Not Mandatory - added advantage >
· Expertise on Data warehouse < Not Mandatory - added advantage >
· Exp in developing & delivering product as SaaS i< Not Mandatory - added advantage
ROLES AND RESPONSIBILITIES
• Lead the Software Team. Ensure consistent deliveries of planned features while ensuring code quality, testing standards, and processes are maintained.
• Work with the leadership team to cultivate and grow the Internal Software Team Culture at
• Work across the full stack, building highly scalable distributed solutions that enable positive user experiences and measurable business growth
• Ensure application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design.
• Solve technical problems of high scope and complexity.
• Exert influence on the overall objectives and long-range goals of your team.
• Experience with performance and optimization problems, particularly at a large scale, and a demonstrated ability to both diagnose and prevent these problems.
• Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale web environment. Maintain and advocate for these standards through code review.
CANDIDATES MUST HAVE
• Experienced in designing and integrating RESTful APIs
• Knowledge of Python
• Excellent debugging and optimization skills
DESIRED SKILLS & EXPERIENCE
• 3-5 years of experience building large-scale software applications and working with large software teams.
• Bachelor’s degree in computer science, information technology, or engineering • Experience designing and integrating RESTful APIs
• Knowledge of Python and Backend Development
• Experience building Web/Mobile applications
• Excellent debugging and optimization skills
• Unit and Integration testing experience
• Being knowledgeable about engineering processes and good practices
• Passionate about learning new tools. Ability to continuously learn and acquire knowledge.
• Able to adapt to changing complexity of tasks.
We are looking for a passionate Python Django Developer responsibility include gathering user requirements, defining system functionality, and writing code in various languages like Python, Django, Javascript, HTML, CSS, etc. Ultimately, the role of the Django Developer is to build high-quality, innovative, and fully performing software that complies with coding standards and technical design.
Responsibilities:
You would be working on our core platform, improving the features of the product, testing and fixing bugs/issues, customizing it for clients, cloud and on-premise deployment, security testing, and configuration, etc. You will also get a chance to build new products from scratch.
Tools and technologies that you’d be working on include the following:
- Django, Python.
- Bootstrap, MaterializeCSS, HTML, JavaScript.
- Nginx, Gunicorn, MySQL/Postgres, API integrations (JSON, XML, SOAP).
-
Shell Commands, SSH, SSL Certificate, HTTP/HTTPS.
Eligibility:
- Knowledge of developing web applications using at least one popular web framework (preferably, Django).
- Excellent knowledge of relational databases like Postgres/MySQL, etc.
- Knowledge in designing interactive applications.
- Ability to develop software using Python (Django Framework), Javascript, HTML, and CSS.
- Ability to document requirements and specifications.
- Bachelor of Engineering Degree in Computer Science or Information Technology or Electrical Engineering.
https://docs.google.com/forms/d/e/1FAIpQLSfG91burhFb8nTk4xoU0O8i4Jyjt9W156yuJnjol1fPvlPcfg/viewform?usp=pp_url
- 3+ years of recent hands-on Java development
- Java, Python, JavaScript programming languages
- Fluency with RESTful APIs, AngularJS, HTML5 and CSS
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Understanding of database fundamentals and advanced SQL knowledge
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
What puts you over the top:
- Exposure to various technologies like Spring Boot, Microservices, Kubernetes and also some frontend technologies like React.js, Node.js or other UI frameworks.
● Experience in AdTech or Programmatic
MUST HAVE GOOD EXPERIENCE IN SPRING BOOT, NODE JS, ANGULAR JS, REACT JS, JAVASCRIPT,JAVA, HTML/CSS.









