Engineering Manager

Software Engineer – .NET

Full-Time   ·   Remote   ·   Experience: 3–5 Years   ·  

About AtDrive Group

AtDrive Group is a technology solutions company that endeavours to deliver robust, scalable and secure software solutions with exquisite design and architecture, enforcing the best practices — no matter what your business is. We provide end-to-end digital transformation services across cloud computing, SaaS, mobile, web, e-commerce, and enterprise integration — serving clients from SMEs to Fortune 2000 companies across India, the Caribbean, and globally.

Website: atdrive.com   ·  

About the Role

We are looking for a sharp, self-driven .NET developer who can contribute from Day 1 — no extended ramp-up, no hand-holding. You will work directly alongside our senior development team on live, commercial projects across a range of client engagements. The expectation is simple: you are plug-and-play.

This is a high-priority hire. If you are someone who reads the brief, writes clean code, and ships — we want to hear from you.

Key Responsibilities

• Design, develop, and maintain robust ASP.NET Core and ASP.NET MVC applications
• Build and consume RESTful Web APIs and integrate third-party services
• Write efficient SQL queries, stored procedures, and manage SQL Server databases
• Work across the full development lifecycle — from requirement analysis through to deployment and support
• Collaborate closely with team members and adhere to established coding standards and architectural patterns
• Participate in code reviews and contribute to continuous improvement of codebase quality
• Debug, troubleshoot, and resolve technical issues independently with minimal escalation
• Deliver assigned tasks within deadlines without requiring supervision

Required Technical Skills

.NET Stack

• Solid proficiency in C# and the .NET Framework / .NET Core
• Hands-on experience with ASP.NET MVC and ASP.NET Core
• Web API development — design, implementation, versioning, and security
• Entity Framework and/or LINQ for data access
• SQL Server — query design, stored procedures, optimisation

Frontend & Integration

• Working knowledge of HTML5, CSS3, JavaScript, and jQuery
• Experience with AJAX and JSON-based client–server communication
• Familiarity with RESTful API design principles and third-party API integration

Engineering Practices

• Version control via Git — branching, merging, pull requests
• Understanding of OOP design patterns and n-tier architecture
• Experience with debugging tools and performance profiling
• Exposure to Agile/Scrum methodologies is a plus

AI-Tool Fluency (Required)

AtDrive operates at the cutting edge of modern software delivery. All team members are expected to actively leverage AI-powered tools as part of their daily workflow — not as an optional add-on, but as a core professional competency.

• Proficiency with AI coding and productivity assistants such as Claude (Anthropic), GitHub Copilot, OpenAI Codex, or equivalent platforms
• Ability to use AI tools to accelerate development, automate repetitive tasks, improve code quality, and generate test coverage
• Comfortable prompting, evaluating, and iterating on AI-generated outputs critically
• Awareness of the limitations and responsible use of generative AI in a professional software environment
• Willingness to continuously upskill as AI tooling evolves

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related engineering field
• 2–3 years of hands-on .NET development experience in a professional environment
• Portfolio or examples of shipped work strongly preferred

What We Expect on Day 1

You should be able to pick up an active codebase, understand the architecture, and begin contributing meaningful work within the first week. If you need three months to find your footing, this is not the right role — or the right time.

Why AtDrive?

• Work with a globally recognised technology company serving clients from SMEs to Fortune 2000 companies
• Collaborate with diverse, passionate teams driven by a culture of excellence and continuous improvement
• Competitive compensation and genuine career advancement opportunities
• Work with modern, cutting-edge technology stacks and AI-integrated workflows
• Be part of a company whose tagline isn't just words — Inspired by Perfection

Company: Amura Health

Location: Velachery, Chennai

Work Model: 6 Days Work From Office (Mandatory)

About Amura Health:

Amura Health is building a transformative health platform focused on improving human potential through better health outcomes. The company believes that healthier bodies lead to healthier brains, enabling people to solve more complex problems, contribute meaningfully to society, and create a better future.

The organization is building next-generation healthcare technology products and platforms that aim to redefine the way medicine is practiced globally. With a strong focus on innovation, scale, and impact, Amura Health operates in a fast-paced, high-ownership environment where engineers work on meaningful and technically challenging problems.

Role Overview

We are looking for a highly skilled Senior Backend Engineer with strong expertise in Node.js and distributed backend systems. The ideal candidate should have experience building scalable APIs, microservices, and backend infrastructure capable of handling high-performance workloads.

This role requires end-to-end ownership of backend modules, including architecture, development, testing, deployment, optimization, and production support. The candidate will collaborate closely with engineering, DevOps, and product teams to build reliable and scalable systems.

Key Responsibilities

Develop scalable backend services, APIs, and microservices using Node.js frameworks such as Express.js and NestJS.

Own backend modules end-to-end from design and implementation to testing and deployment.

Write clean, maintainable, reusable, and high-quality production-grade code.

Optimize application performance, scalability, reliability, and system efficiency.

Troubleshoot production issues, perform root cause analysis (RCA), and improve platform stability.

Work with relational and NoSQL databases for scalable data management.

Implement caching solutions using Redis and optimize API response times.

Work with queues and asynchronous processing systems such as Kafka, RabbitMQ, or Amazon SQS.

Collaborate with DevOps teams for CI/CD pipelines, deployment automation, and infrastructure improvements.

Participate in system design discussions and architectural decision-making.

Contribute to engineering best practices, documentation, and code review processes.

Work effectively in a fast-paced startup environment with high ownership and accountability.

Required Skills & Technical Expertise

Strong expertise in Node.js and backend development.

Hands-on experience with TypeScript, Express.js, and NestJS.

Strong understanding of asynchronous programming and event-driven systems.

Experience designing and consuming REST APIs.

Strong knowledge of microservices architecture and distributed systems.

Experience with SQL databases such as PostgreSQL and MySQL.

Experience with NoSQL databases such as MongoDB, DynamoDB, and Redis.

Knowledge of caching strategies and performance optimization.

Hands-on experience with messaging systems such as Kafka, RabbitMQ, or SQS.

Understanding of Docker, Git, and CI/CD pipelines.

Exposure to AWS cloud infrastructure and deployment environments.

Strong debugging, monitoring, and performance tuning skills.

Knowledge of scalable backend architecture and system reliability.

Eligibility Criteria

4 to 7 years of hands-on backend development experience.

Bachelor’s degree in Computer Science, Information Technology, or related engineering discipline.

Candidates from strong product engineering backgrounds will be preferred.

Experience working in fast-paced startup or high-growth product environments is preferred.

Strong communication, ownership, and problem-solving abilities are essential.

Must be comfortable working from office 6 days a week in Velachery, Chennai.

Ideal Candidate Profile

The ideal candidate is a strong backend engineer who has experience building scalable systems in product-driven environments. They should be comfortable taking ownership of backend services, solving complex engineering challenges, debugging production issues, and collaborating across teams.

The candidate should possess a startup mindset, demonstrate accountability, move quickly, and contribute proactively to engineering excellence.

Work Environment & Expectations

Work from Office model with mandatory in-office presence.

6 working days per week from the Velachery, Chennai office.

High ownership and accountability-driven engineering culture.

Collaborative and fast-paced startup environment.

Candidates should be comfortable working on high-impact systems and solving challenging technical problems.

Company Website

https://amura.ai

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

Mandatory (Experience 1): Must have 5+ years of hands-on designing experience especially in print and visual communication projects.

Mandatory (Experience 2): Must have proven conceptualisation and visualization skills, with the ability to convert briefs, raw data, and ideas into engaging visual creatives while maintaining brand messaging and design consistency.

Mandatory (Experience 3): Must have client interaction and team management experience, including coordinating with designers, art directors, project managers, and clients to ensure timely and high-quality creative deliverables.

Mandatory (Tech Skills 1): Must have strong knowledge of design principles, typography, color theory, layout design, and print production standards, with the ability to sign-off or review final deliverables.

Mandatory (Tech Skills 2): Must have hands-on experience in handling multiple creative tools and design workflows independently

Mandatory (Portfolio): Strong portfolio of Print Media / Creative Portfolio showcasing branding, marketing collaterals, brochures, presentations, or other high-quality visual design projects that demonstrate conceptual thinking and software proficiency.

Mandatory (Work Environment): Must be willing to work full-time from office and be flexible for rotational monthly shifts (including night shifts) as per business requirements.

Scoutflo is a platform that automates complex infrastructure requirements for Kubernetes Infrastructure.

Job Description:

1. In-depth knowledge of full-stack development principles and best practices.
2. Expertise in building web applications with strong proficiency in languages like
3. Node.js, React, and Go.
4. Experience developing and consuming RESTful & gRPC API Protocols.
5. Familiarity with CI/CD workflows and DevOps processes.
6. Solid understanding of cloud platforms and container orchestration
7. technologies
8. Experience with Kubernetes pipelines and workflows using tools like Argo CD.
9. Experience with designing and building user-friendly interfaces.
10. Excellent understanding of distributed systems, databases, and APIs.
11. A passion for writing clean, maintainable, and well-documented code.
12. Strong problem-solving skills and the ability to work independently as well as
13. collaboratively.
14. Excellent communication and interpersonal skills.
15. Experience with building self-serve platforms or user onboarding experiences.
16. Familiarity with Infrastructure as Code (IaC) tools like Terraform.
17. A strong understanding of security best practices for Kubernetes deployments.
18. Grasp on setting up Network Architecture for distributed systems.

Must have:

1) Experience with managing Infrastructure on AWS/GCP or Azure

2) Managed Infrastructure on Kubernetes

Senior Mechanical Design Engineer is required in one of the leading global recycling platform with operations across the United States, UK, and Asia. Industry Preference : ex. paper, sugar, chemical, paint, fertilizer, oil & gas, candidates who are really interested to work and able to join on immediate basis may apply.

Responsibilities

1. Design, build, and commission SPMs and Automated Equipment in collaboration with the fabrication team

2. Calculate & problem solve on design challenges in various equipment from conceptual proposals to detailed design.

3. Improve existing equipment with targeted performance and automation upgrades

4. Create detailed engineering drawings and bills of materials

5. Develop equipment operational and maintenance documentation in collaboration with process & fabrication teams and conduct relevant training

6. Develop models to capture engineering calculations and FEA to validate equipment design Develop and implement control narratives in collaboration with the automation and fabrication teams

7. Create conceptual plant layouts, Process & Instrumentation diagrams, and manuals in collaboration with projects and process teams

8. Manage team of mechanical engineers for design  

Requirements

1. B. Tech. / M. Tech. in Mechanical Engineering with extensive hands-on experience in SPM design for diverse applications 

2. Preference of candidate with prior work experience in process industries (for ex. paper, sugar, chemical, paint, fertilizer, oil & gas)

3. Knowledge of machine shop fabrication processes

4. Proficiency with all types of automation components, sensors, electromechanical actuators, motion control, hydraulics, pneumatics etc.

5. Good experience in FEA

6. Ability to work both independently and in teams

7. Proficiency with Solid Modelling 3D CAD, SolidWorks, AutoCAD

8. Extensive knowledge of material specifications/ grades/properties/uses with engineering codes, and extensive knowledge of engineering accessories like pumps, valves, motors, gear boxes etc.  

Roles and Responsibilities:

• Acquire and activate travel agents through various channels like office visits, telephone, email, social networks, events & meetings.
• Establish, grow, and maintain commercial ties with travel agents—both current and potential—in the designated territory to attract new partners for our services.
• Create a sales funnel, identify the right leads, define long-term goals, and engage in strategic business planning.
• Align sales activities with tele-sales team, product, marketing, and customer success team.
• Build in-depth understand of our products and give demos or solve product queries to convert agents.
• Attend road shows, trade fairs and other travel industry events.
• Maintain and analyse data.
• Stay updated on industry insights and opportunities for strategic planning and growth.

Experience and Skills you MUST have:

• At least 4 years sales experience in the travel industry
• Excellent communication and interpersonal skills
• Ability to build relationships
• Prior experience in acquiring travel agents or in visas or insurance is a big plus
• Proficient with using CRMs and google sheets
• Ability to handle pressure

• Bachelor of Computer Science or Equivalent Education
• At least 5 years of experience in a relevant technical position.
• Azure and/or AWS experience
• Strong in CI/CD concepts and technologies like GitOps (Argo CD)
• Hands-on experience with DevOps Tools (Jenkins, GitHub, SonarQube, Checkmarx)
• Experience with Helm Charts for package management
• Strong in Kubernetes, OpenShift, and Container Network Interface (CNI)
• Experience with programming and scripting languages (Spring Boot, NodeJS, Python)
• Strong container image management experience using Docker and distroless concepts
• Familiarity with Shared Libraries for code reuse and modularity
• Excellent communication skills (verbal, written, and presentation)

Note: Looking for immediate joiners only.

1.      Core Responsibilities

·      Review, suggest and implement enhancements/Bug fixes to the ServiceNow platform.

·      Work closely with other IT teams to help implement integrations from other platforms(like Monitoring tools: Nagios, Prometheus, Sematext, Dynatrace etc., )  into the ServiceNow ecosystem.

·      Attend important business meetings to gather information around projects pertaining to ServiceNow.

·      Help to maintain and improve the CMDB by collaborating with key stakeholders to ensure the correct data is being maintained.

·      Help to manage the platform to ensure a reliable seamless user experience.

·      Develop and maintain service catalogue items by collaborating with key stakeholders across the business.

·      Support the banks audit requirements around the ServiceNow platform by helping to provide reports and audits as required.

·      Support audit requirements and compliance to standards

·      Should have knowledge on creating customized Dashboards & Reports

·      Automation using ServiceNow (like Major Incident Management, Incident Reduction, Problem Management etc.,) , if any

·      Should be able to drive Service Improvement Plan’s in optimizing ServiceNow platform on their own

·      Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

Essential:

·      4 to 6 years previous experience in ServiceNow administration OR Technical work on ServiceNow design and implementation is essential

·      4 to 6 years previous experience in delivering ServiceNow projects (new modules, improvements, enhancements etc.) is essential

·      4 to 6 years previous experience or equivalent qualification in Service Now ITSM & ITOM is essential

·      8 to 10 years overall experience in IT is essential

Desirable

·      3 to 5 years’ experience in orchestration, service mapping is desirable

3.      Knowledge Requirements

Essential

·      Very good knowledge of Incident Management, Request Fulfilment, Change Management, Problem Management processes

·      Very good knowledge of ITSM and ITOM practices is essential

·      Detailed knowledge of the ITIL/ITSM Best practices is essential

Desirable

·      Good understanding of CSDM is desirable

·      Good knowledge of the ISO 20K, 27K, 9K is desirable

·      Basic knowledge of IT Infrastructure technologies used in a banking domain in desirable