HyrHub

• 5-9 years of working experience in B2B Inside Sales or Business Development roles

• Prior exposure to working alongside Field Sales teams

• Familiarity with demand generation and marketing-led sales motions

• Ability to thrive in a target-driven, fast-paced environment

Key Responsibilities:

• Design, build, and own large-scale, distributed backend and platform systems.
• Drive architectural decisions for high-throughput, low-latency services with strong scalability and reliability guarantees.
• Build and evolve core components of a real-time Customer Data Platform, especially around data ingestion, streaming, and processing.
• Evaluate and adopt open-source and emerging platform technologies; build prototypes where needed.
• Own critical subsystems end-to-end, ensuring performance, maintainability, and operational excellence.
• Mentor junior engineers and uphold high standards through code and design reviews.
• Effectively use modern AI-assisted coding tools to accelerate development while maintaining engineering rigor.
• 4–6 years of strong backend/platform engineering experience with solid fundamentals in algorithms, data structures, and optimizations.
• Proven experience designing and operating production-grade distributed systems.
• B.E / B.Tech / M.Tech / M.S / MCA in Computer Science or equivalent from premier institutes.

Qualifications:

Technical Skills:

• Strong system and object-oriented design skills.
• Hands-on experience with SQL and NoSQL databases.
• Strong working knowledge of Kafka and streaming systems.
• Proficiency in Java, concurrency, and unit/integration testing.
• Familiarity with cloud-native environments (Kubernetes, CI/CD, observability).

AI-Assisted Engineering:

• Hands-on experience using modern AI coding platforms such as Opencode, Claude Code, Codex, Cursor, Windsurf, or similar.
• Ability to use AI tools for code generation, refactoring, testing, debugging, and design exploration responsibly.

Soft Skills & Nice to Have:

• Strong ownership mindset and ability to deliver in fast-paced environments.
• Clear written and verbal communication skills.
• Startup experience is a plus.

Qualifications & Requirements:

• 4+ years of experience in C++ application development.
• Hands-on experience with C++11 or above.
• Strong knowledge of object-oriented programming and software design.
• Deep understanding of STL, multi-threading, socket programming, and data structures.
• Solid grasp of Linux development and debugging techniques.
• Proficient in using GCC, GDB, and Makefile.
• Familiarity with Valgrind and similar analysis tools.
• Experience with version control tools like Git.
• Experience writing and maintaining automated tests.
• Experience in capital markets/trading domain is a plus.

Skills:

• Strong problem-solving and analytical thinking.
• Clear and effective communication.
• Self-driven with the ability to work independently.
• Passionate about high-quality software and strong engineering practices.
• Comfortable working in a fast-paced, collaborative environment.

Qualifications & Key Requirements:

• The right candidate would be ambitious, energetic and highly motivated to learn and grow in a fast-paced environment.
• Bachelor’s degree in business, sales or related fields
• 2+ years of experience in BD/Inside Sales for a technology company (preferably B2B/Enterprise SaaS).
• Strong work ethic with ability to meet and exceed commitments
• Strong desire to progress in a sales career
• Experience in using social media tools and sales CRM tools
• Deep appreciation of technology and its ability to create value – especially in areas of big data analytics, machine learning and personalization.

Key Responsibilities:

• Assisting with the growth of sales pipeline through lead generation and business development activities
• Engage with prospects at all levels using different channels and techniques
• Work closely with the assigned Field sales counterpart and support territory plans
• Work effectively with marketing function (demand gen, product marketing) to extract all required content needed to be effective and to take effective handover of all leads
• Analyzing customer needs in terms of current business obstacles
• Creating a business pipeline meeting an agreed quota of business opportunities
• Contributing individually to the team targets with quality leads
• Research accounts and identify right contacts in every account
• Give early demos to prospects if required

Mandatory experience in a MarTech or enterprise SaaS company

Undergraduate degree in engineering (a must) &/ MBA is a plus, preferably frompremier institutes

• Consultative Sales Experience: minimum 4 years

• Strong work ethic with demonstrated ability to meet and exceed sales commitments

• Experience in selling to enterprises, especially banks and insurance companies is abig plus

• Deep appreciation of technology and its ability to create value–especially in areas of big data analytics, machine learning and personalization

 Preference is SAAS/ Mar-tech experience.

 2+ years of experience in BD/Inside Sales for a technology company

(preferably B2B/Enterprise SaaS).

 Strong work ethic with ability to meet and exceed

commitments

 Strong desire to progress in a sales career

 Experience in using social media tools and sales CRM tools

 Deep appreciation of technology and its ability to create

value – especially in areas of big data analytics, machine

learning and personalization.

 Bachelor’s degree in business, sales or related fields

Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5years experience as Architect, should be from Data Engineering background.

• 8+ years of experience in data engineering, data science, or architecture roles.

• Experience designing enterprise-grade AI platforms.

• Certification in major cloud platforms (AWS/Azure/GCP).

• Experience with governance tooling (Collibra, Alation) and lineage systems

• Strong hands-on background in data engineering, analytics, or data science.

• Expertise in building data platforms using:

o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,

Dataflow).

o Compute: Spark, Databricks, Flink.

o Data modelling: dimensional, relational, NoSQL, graph.

• Proficiency with Python, SQL, and data pipeline orchestration tools.

• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.

• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

As an Engineering Manager, you'll lead efforts to strengthen and optimize our state-of-the-art systems, ensuring high performance, scalability, and efficiency across our suite of trading solutions.

The core responsibilities for the job include the following:

Technical Expertise:

• C++ coding and debugging to strengthen and optimize systems.
• Design and architecture (HLD/LLD) to ensure scalable and robust solutions.
• Implementing and enhancing DevOps, Agile, and CI/CD pipelines to improve development workflows.
• Managing escalations and ensuring high-quality customer outcomes.

Architecture and Design:

• Define and refine the architectural vision and technical roadmap for enterprise software solutions.
• Design scalable, maintainable, and secure systems in line with business goals.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Driving engineering initiatives to foster innovation, efficiency, and excellence.

Project Management:

• Oversee project timelines, deliverables, and quality assurance processes.
• Coordinate cross-functional teams to ensure seamless integration of systems.
• Identify risks and proactively implement mitigation strategies.

Technical Leadership:

• Lead and mentor a team of engineers, fostering a collaborative and high-performance culture.
• Provide technical direction and guidance on complex software engineering challenges.
• Drive code quality, best practices, and standards across the engineering team.

Requirements:

• 10-15 years in the tech industry, with 2-4 years in technical leadership or managerial roles.
• Technical Expertise: Expertise in C++ development, enterprise architecture, and scalable system design, and proficiency in performance optimization, scalability, software architecture, and networking principles.
• Extensive experience managing the full development lifecycle of large-scale software products, from concept to deployment.
• Strong knowledge of STL containers, multi-threading concepts, and algorithms.
• Solid understanding of memory management and efficient resource utilization.
• Microservices Architecture Expertise: Experience in designing and implementing scalable, reliable microservices.
• Strong Communication and Decision-making skills: Ability to clearly articulate trade-offs, make informed decisions, and ensure alignment across stakeholders.
• Commitment to Creating and fostering Engineering Excellence: Deep understanding of best practices, including code quality, testability, security, and release management, and passion for fostering a strong engineering culture and continuously improving developer workflows and tools.
• Self-Driven and Motivated: Ability to operate independently while driving impactful results.

Requirements:

• Must have experience on VC++ / C++ application programming, Visual Studio.
• Should have thorough knowledge in OOPS (Object-Oriented Programming) concept.
• Should have a strong technical background on Windows or Linux
• Should be familiar with MFC, STL, COM, Multi-threading, Socket programming, Data structures.
• Candidates with Financial domain /capital market experience would be an added advantage.

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.