City Head - Business Development Leader

Job Title: Senior DevOps Engineer

Location: Sector 39, Gurgaon (Onsite)

Employment Type: Full-Time

Working Days: 6 Days (Alternate Saturdays Working)

Experience Required: 5+ Years

Team Role: Lead & Mentor a team of 3–4 engineers

About the Role

We are seeking a highly skilled Senior DevOps Engineer to lead our infrastructure and automation initiatives while mentoring a small team. This role involves setting up and managing physical and cloud-based servers, configuring storage systems, and implementing automation to ensure high system availability and reliability. The ideal candidate will have strong Linux administration skills, hands-on experience with DevOps tools, and the leadership capabilities to guide and grow the team.

Key Responsibilities

Infrastructure & Server Management (60%)

• Set up, configure, and manage bare-metal (physical) servers as well as cloud-based environments.
• Configure network bonding, firewalls, and system security for optimal performance and reliability.
• Implement and maintain high-availability solutions for mission-critical systems.

Queue Systems (Kafka / RabbitMQ) (15%)

• Deploy and manage message queue systems to support high-throughput, real-time data exchange.
• Ensure reliable event-driven communication between distributed services.

Storage Systems (SAN/NAS) (15%)

• Configure and manage Storage Area Networks (SAN) and Network Attached Storage (NAS).
• Optimize storage performance, redundancy, and availability.

Database Administration (5%)

• Administer and optimize MariaDB, MySQL, MongoDB, Redis, and Elasticsearch.
• Handle backup, recovery, replication, and performance tuning.

General DevOps & Automation

• Deploy product updates, patches, and fixes while ensuring minimal downtime.
• Design and manage CI/CD pipelines using Jenkins or similar tools.
• Administer and automate workflows with Docker, Kubernetes, Ansible, AWS, and Git.
• Manage web and application servers (Apache httpd, Tomcat).
• Implement monitoring, logging, and alerting systems (Nagios, HAProxy, Keepalived).
• Conduct root cause analysis and implement automation to reduce manual interventions.
• Mentor a team of 3–4 engineers, fostering best practices and continuous improvement.

Required Skills & Qualifications

✅ 5+ years of proven DevOps engineering experience

✅ Strong expertise in Linux administration & shell scripting

✅ Hands-on experience with bare-metal server management & storage systems

✅ Proficiency in Docker, Kubernetes, AWS, Jenkins, Git, and Ansible

✅ Experience with Kafka or RabbitMQ in production environments

✅ Knowledge of CI/CD, automation, monitoring, and high-availability tools (Nagios, HAProxy, Keepalived)

✅ Excellent problem-solving, troubleshooting, and leadership abilities

✅ Strong communication skills with the ability to mentor and lead teams

Good to Have

• Experience in Telecom projects involving SMS, voice, or real-time data handling.

Role Overview:

We are seeking a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will be responsible for developing and deploying machine learning models from scratch to production level, focusing on building robust data-driven products. You will work closely with software engineers, product managers, and other stakeholders to ensure our AI-driven solutions meet the needs of our users and align with the company's strategic goals.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to support product development.
• Work on the end-to-end lifecycle of data science projects, including data collection, preprocessing, model training, evaluation, and deployment.
• Collaborate with cross-functional teams to define data requirements and product taxonomy.
• Design and build scalable data pipelines and systems to support real-time data processing and analysis.
• Ensure the accuracy and quality of data used for modeling and analytics.
• Monitor and evaluate the performance of deployed models, making necessary adjustments to maintain optimal results.
• Implement best practices for data governance, privacy, and security.
• Document processes, methodologies, and technical solutions to maintain transparency and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in data science, machine learning, or a related field, with a track record of developing and deploying products from scratch to production.
• Strong programming skills in Python and experience with data analysis and machine learning libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
• Proficiency in building and optimizing data pipelines, ETL processes, and data storage solutions.
• Hands-on experience with data visualization tools and techniques.
• Strong understanding of statistics, data analysis, and machine learning concepts.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Knowledge of microservices architecture and RESTful APIs.
• Familiarity with Agile development methodologies.
• Experience in building taxonomy for data products.
• Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Bachelor's degree in a relevant field.

Minimum 1 year of experience in real estate sales.

Proven track record of meeting or exceeding sales targets.

Excellent communication and negotiation skills.

Strong interpersonal skills and the ability to build rapport with clients.

Knowledge of local real estate regulations and documentation

Client Acquisition and Relationship Management

Market Research

Provide exceptional customer service throughout the sales process.

Address client inquiries, concerns, and requests promptly and professionally.

Travel to meet clients, attend property inspections, and participate in relevant events.

should be able to speak English, Hindi, and Telugu.

Maintain a flexible schedule to accommodate client meetings and business requirements.

Job Type: Full-time

Pay: ₹20,000.00 - ₹35,000.00 per month Along with Incentives.

Total work: 1 year (Required)

Real estate sales: 1 year (Required)

Work Location: In person

Overview:

We are currently seeking an energetic Sales Development Representatives. This position is an integral part of our sales engine. SDRs are a specialised group of individuals always “hunting” for high-value opportunities.

SDRs are focussed on the front end of the sales cycle and be the face of KEKA. This individual must be highly motivated, self-starter who is able to identify and develop opportunities from multiple sources including prospect lists, discovery and individual research.

A typical day at KEKA being an SDR would involve:

1. Generating qualified opportunities for the company by rigorously prospecting and researching In the given region/market
2. Striking and initiating conversations with high-profile personas of companies you are prospecting into
3. Be the face of KEKA and introduce the company and the products to the prospects
4. Getting creative with writing emails/ Inmails and grabbing the attention of prospects
5. Being adaptable to change and have the thirst to learn new things/ways to reach the prospects and have them on board for a meeting

Requirements:

• 1-4 years of work experience in any customer-facing sales like Sales/inside sales/cold calling/business development
• Clear, concise, and effective written and oral communication skills.
• Empathy towards customers and understanding their needs.
• Interest, curiosity, and openness to learning new technologies.
• Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, etc.
• Good interpersonal skills and ability to collaborate with internal stakeholders as well as end customers.
• Learning mindset and the right attitude that will help you thrive and adapt in a fast-paced, performance-driven environment.
• Ability to handle rejections and stay focused and driven.
• Ability to multi-task and manage your tasks effectively.
• Flexibility working in different shifts/regions. This is absolutely mandatory 

Good To Have:

• Prior work experience in SaaS product companies in domains relevant to Keka products.
• A proven track record of consistency in overachieving targets.

1.Drive monthly sales achievements by connecting with working professionals on phone calls.

2. Understand needs and requirements of prospects and help them select the right program

3. Develop in-depth knowledge of product features and benefits and become “go-to” resource when it comes to

product knowledge

4. Help customers understand the USPs of the program and build trust

5. Proactively follow up with prospects to help them with any additional information required for closing sales

6. Maintain detailed data of each prospect data in CRM and lead tracking tools.

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

We are looking for a driven, curious and sincere full-stack software engineer having 0-2 years of professional experience. They will be assigned to a 0 to 1 project which presents a great opportunity to learn and grow.

Roles & Resposibilities:

• You will be involved in full-stack development
• Working on relational as well as non-relational databases.
• Writing and maintaining high-quality code.
• Learning the code base and improving your coding skills.

Desired skills and qualities:

• Bachelor degree in computer engineering or related field.
• Atleast 6 months of full-time or internship experience in Javascript.
• Data structures and algorithms.
• Strong understanding of object-oriented programming.
• Ability to communicate ideas clearly(verbal/written).
• HTML and CSS.