Business Analyst

• Strong Software Engineering Profile
• Mandatory (Experience 1): Must have 5+ years of experience using Python to design software solutions.
• Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.
• Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka
• Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure
• Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.
• Mandatory (Education): Educational background must be from a premium institute (IIT, IIIT, NIT, MNNIT, VITS, BITS)

A BDM (Centre Manager) is responsible for driving the sales and marketing activities of the location. The profile requires creating strong brand image through networking and public relations. Increase business through business development models and competitor tracking. Essential Job Responsibilities:  Leading a team of sales professionals who will perform activities such as Admission calling and counseling to prospective students / parents and convincing / converting them to final admission.  The Centre Manager will create goodwill and brand in the minds of students and parent by talking and sharing information with promoting our admission plans.  The Centre Manager will oversee students Record/Information, Admission Formalities - conducting admission test; filling up admission forms; collecting fees; follow ups on pending fees; Handling all types of queries by students and parents. Giving them solution; guidance; counseling  The position will drive sales and marketing initiatives decided by Team Leaders and achieve desired targets & will maintain good Public Relations.  The profile conducts and monitors Presentations, Admission Tests, Parents Meeting, Schools Penetration , Connecting with Principals & Teachers  Building network with local teachers / agencies / students for reaching out to students.  Meeting Business targets, Following Marketing Schedules & Admission Schedule  Keeping track of competitor’s activities in the market.  Coordination and Conduction of seminars in all leading schools of Vidarbha.  Coordination and conduction of various Potential Assessment Test in all leading schools of Vidarbha.  Any other relevant work as required by department. Supervisory Responsibilities Number of subordinate supervisors reporting to this job 3+ Total number of employees supervised; include those directly supervised and those supervised through subordinate supervisors N/A

Key Responsibilities:

· Lead the design and implementation of scalable infrastructure using IaC principles.

· Develop and manage configuration management tools primarily with Chef.

· Write and maintain automation scripts in Python to streamline infrastructure tasks.

· Build, manage, and version infrastructure using Terraform.

· Collaborate with cloud architects and DevOps teams to ensure highly available, secure, and scalable systems.

· Provide guidance and mentorship to junior engineers.

· Monitor infrastructure performance and provide optimization recommendations.

· Ensure compliance with best practices for security, governance, and automation.

· Maintain and improve CI/CD pipelines with infrastructure integration.

· Support incident management, troubleshooting, and root cause analysis for infrastructure issues.

Required Skills & Experience:

· Strong hands-on experience in:

o Chef (Cookbooks, Recipes, Automation)

o Python (Scripting, automation tasks, REST APIs)

o Terraform (Modules, state management, deployments)

· Experience in AWS services (EC2, VPC, IAM, S3, etc.)

· Familiarity with Windows administration and automation.

· Solid understanding of CI/CD processes, infrastructure lifecycle, and Git-based workflow

We are seeking a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. The role focuses on real-time and batch data processing using technologies such as Apache Pulsar, Apache Flink, MongoDB, ClickHouse, Docker, and Kubernetes.

Ideal candidates have strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.

Key Responsibilities

1. Data Pipeline & Streaming Development

• Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
• Build high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
• Integrate internal systems and external data sources into a unified on-premise data platform.

2. Data Storage & Modelling

• Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational use cases.
• Optimize storage formats, indexing strategies, and partitioning schemes for performance and scalability.

3. Infrastructure & Containerization

• Deploy, manage, and monitor containerized data services using Docker and Kubernetes in on-prem environments.

4. Performance, Monitoring & Reliability

• Monitor and fine-tune the performance of streaming jobs and database queries.
• Implement robust logging, metrics, and alerting frameworks to ensure high availability and operational stability.
• Identify pipeline bottlenecks and implement proactive optimizations.

Required Skills & Experience

• Strong experience in data engineering with a focus on on-premise environments.
• Expertise in streaming technologies such as Apache Pulsar, Apache Flink, or similar platforms.
• Deep hands-on experience with MongoDB, ClickHouse, or other NoSQL/columnar databases.
• Proficient in Python for data processing and backend development.
• Practical experience deploying and managing systems using Docker and Kubernetes.
• Strong understanding of Linux systems, performance tuning, and resource monitoring.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields (or equivalent experience).

Additional Responsibilities for Senior-Level Hires

Leadership & Mentorship

• Guide, mentor, and support junior engineers; establish best practices and code quality standards.

System Architecture

• Lead the design and optimization of complex real-time and batch data pipelines for scalability and performance.

Sensor Data Expertise

• Build and optimize sensor-driven data pipelines and stateful stream processing systems for mission-critical domains such as maritime and defense.

End-to-End Ownership

• Take full responsibility for the performance, reliability, and optimization of on-premise data systems.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Job Role : Engineering Manager

Responsibilities

• Lead and grow multiple engineering teams committed to building the innovative products
• Work effectively cross-functionally to drive change and influence product and process decisions.
• Help to shape thinking around designing scalable products and business processes/programs to support KlearNow rapid growth.
• Be both a deep technical leader and a thoughtful people manager.
• Champion engineering excellence, establishing business metrics, and drive continuous operational improvement.

Minimum Qualification

• BS/MS degree in Computer Science or related field.
• Overall 10+ years of Software engineering background.  
• 5+ years of management experience -Team Management: Lead a team of 6 – 8
• 3+ years of experience growing and managing multi-team organizations.
• 5+ years hands-on experience in core programming languages such as, Java, Python, go, SQL

Preferred Qualification

• Proven track record of creating and managing high performing teams.
• Experience with logistics domain
• Interest in people and organizations.
• Demonstrate creative problem solving and analytical skills.

If you wish to know more on the opportunity and like to pursue this further, then I would suggest that you share your updated CV and suggest a good time when we could connect.

About Company

KlearNow is pioneering “Logistics as a Service” (LaaS) by creating the industry’s first fully cloud-based digital network that can be used across the entire array of supply chain participants to simplify the transit of goods worldwide.

• KlearNow transforms outdated B2B logistics processes—simplifying lives.
• KlearNow turns daunting logistics paperwork into powerful information to move more goods through customs and drayage with just a few clicks.
• Its smart Logistics as a Service (LaaS) AI-powered platform eliminates wasted time and money, reduces costs, and enhances customer experiences by enabling new levels of visibility, productivity, and collaboration.

We are headquartered in the heart of Silicon Valley, Santa Clara, California with locations in India, Canada, UK. This year we will be expanding to multiple countries.

Why us

KlearNow is operational and a certified Customs Business provider in US, Canada and UK with plans to grow in many more markets in near future.  Be a part of a rapidly growing company where you will have the opportunity to extend our leadership position and fast-track innovation behind AI-powered intelligent supply chain solutions.

Over and above the core customs clearance solution, KlearNow is also providing consolidated freight visibility, data and document management and intra-port activity for efficient Drayage.

To know more about KlearNow, please visit our website https://www.klearnow.com/">https://www.klearnow.com/ 

As KlearNow grows, we’re looking for an Engineering Leader who is passionate about people growth and organizational development. This is a unique opportunity to help build the products and practices that will support KlearNow growth over the next round of funding. In this role, you will reimagine enterprise logistics software and build global products that enable KlearNow expand in Americas, Europe and Asia.

• Own the Strategy, Roadmap, Execution, and Success for STAGE OTT product
• Take product ideas from ideation to implementation
• Develop backend services that expand the capabilities of our CMS for the content team
• Optimize the performance of our APIs
• Collaborate with Product and Design to iterate on our product
• Participate in design and code reviews

• Growth and Ownership mindset
• 1+ years of experience working in a Software Engineering role
• Strong foundation in programming, algorithms, and software application design
• Experience in Node.js Express and obsessed about optimizing Mongoose queries.
• Passionate about solving challenging problems and iterating quickly
• Previous experience in distributed systems, data processing and analytics is a plus
• Ability to extract, analyze and communicate data