Technical Project Manager

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS

● Excellent Engineering skills in designing and implementing scalable solutions

● Good knowledge of CI/CD Pipeline with strong focus on TDD

● Strong communication skills and ownership

● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.

● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job Title: Quality Control Engineer Food / FMCG Industry

Location: Mehsana , Gujrat

Experience: 1–3 years

Qualification: B.Tech / M.Tech , Dairy Technology, Biotechnology, Microbiology, or related fields

Job Summary:

The Quality Control Engineer will be responsible for ensuring that all food and FMCG products meet established quality and safety standards. The role involves monitoring production processes, conducting inspections, analyzing samples, and implementing corrective actions to maintain product consistency, compliance, and customer satisfaction.

Key Responsibilities:

• Monitor and control quality parameters throughout the production process.
• Conduct routine inspections, sampling, and testing of raw materials, in-process, and finished goods.
• Ensure compliance with food safety regulations, FSSAI, HACCP, ISO, GMP, and other relevant standards.
• Develop, implement, and update quality control procedures and SOPs.
• Collaborate with production, R&D, and supply chain teams to resolve quality issues.
• Conduct root cause analysis of product deviations, rejections, or customer complaints.
• Maintain proper documentation, inspection reports, and audit records.
• Coordinate with external agencies for certifications, audits, and regulatory inspections.
• Ensure proper hygiene, sanitation, and safety practices within production areas.
• Train and guide staff on quality awareness, food safety, and compliance practices.

Key Skills & Competencies:

• Strong knowledge of food safety regulations and quality standards (FSSAI, HACCP, GMP, ISO, BRC).
• Proficiency in quality control tools, statistical analysis, and lab testing methods.
• Analytical thinking with attention to detail.
• Problem-solving and root cause analysis skills.
• Good communication and coordination abilities.
• Ability to work under pressure and meet strict timelines.

Career Path:

This role offers growth into Senior Quality Engineer, Quality Manager, or QA/QC Head within the Food / FMCG industry.

Qualifications:*

1. 10+ years of experience, with 3+ years as Database Architect or related role

2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes

3. Analytical skills in data warehouse design and business intelligence

4. Strong problem-solving and strategic thinking abilities

5. Excellent communication skills

6. Bachelor's degree in Computer Science or related field; Master's degree preferred

*Skills Required:*

1. Database architecture and design

2. Data warehousing and business intelligence

3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)

4. Data governance and security

5. Analytical and problem-solving skills

6. Strategic thinking and communication

7. Collaboration and team management

Job Description:

Responsibilities

·       Having E2E responsibility for Azure landscape of our customers

·       Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction

·       Make usage of CI/CD framework to rapidly support lifecycle management of the platform

·       Acting as L2-L3 support for incidents, problems and service request

·       Work with various Atos and 3rd party teams to resolve incidents and implement changes

·       Implement and drive automation and self-healing solutions to reduce toil

·       Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks

·       Support ITSM processes and collaborate with service management representatives

Job Requirements

·       Azure Associate certification or equivalent knowledge level

·       5+ years of professional experience

·       Experience with Terraform and/or native Azure automation

·       Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)

·       Must be adaptable to work in a varied, fast paced exciting, ever changing environment

·       Good analytical and problem-solving skills to resolve technical issues

·       Understanding of Agile development and SCRUM concepts a plus

·       Experience with Kubernetes architecture and tools a plus

What you need to have:

Job description

We are looking for a Node.js Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application.

Responsibilities:

Have the passion and experience for building responsive, elegant and engaging experiences with future friendly web technologies

Integration of user-facing elements developed by front-end developers with server side logic

Writing reusable, testable, and efficient code with proper documentation

Design and implementation of low-latency, high-availability, and performance applications

Implementation of security and data protection

Integration of data storage solutions

Continually keep yourself and your design team updated with the latest changes in your industry’s standards

Requirements

1+ years Experience

Strong proficiency with JavaScript

Knowledge of Node.js, Express.js and other frameworks required to create a scalable and effective application

Understanding the nature of asynchronous programming and its quirks and workarounds

Good understanding of basics of SQL and/or NoSQL databases

Very strong understanding of working with at least one SQL or NoSQL database in node js(Without ORM preferably)

Understanding of commonly used node modules

Good understanding of server-side templating languages

Good understanding of server-side CSS pre-processors such as SASS, LESS, etc.

Basic understanding of front-end technologies, such as HTML5, and CSS3

Understanding accessibility and security compliance

User authentication and authorization between multiple systems, servers, and environments using OpenID, OAuth2.0, etc.

Creating secure and scalable APIs using standards like REST API, GraphQL, etc.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application

Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimising output to match the specific platform

Creating database schemes that represent and support business processes

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as GIT Critical thinker and problem-solving skills Team player Good time-management skills Great interpersonal and communication skills.