
Candidate should have Max 4+ yrs experience in Python automation testing
With Robot framework and selenium
Less exp couldnt consider.

Similar jobs
Job Description – Business Development Executive / Associate
Location: Zirakpur (On-site)
Experience: 3 Months – 3 Years
Job Type: Full-Time
Industry: Recruitment / Executive Search
About the Role
We are looking for a Business Development Executive / Associate to join our team at Corporate Stalwarts. The role involves generating new business opportunities, building client relationships, and driving revenue growth.
Key Responsibilities
- Identify and approach potential clients across industries
- Build and maintain strong client relationships
- Manage lead generation, proposals, and negotiations
- Take ownership of client accounts and ensure satisfaction
- Achieve sales targets and contribute to business growth
Requirements
- Graduate / Postgraduate (BBA, MBA, Commerce, or related fields)
- 3 months to 3 years of experience in Sales / Business Development / Client Acquisition
- Excellent communication & negotiation skills
- Proficiency in MS Excel, Google Sheets, LinkedIn
- Goal-oriented and self-driven
What We Offer
- Competitive Salary + Attractive Incentives
- Career growth path (BD Executive → BD Head)
- Exposure to top corporate clients
- Mentorship and learning opportunities
CTC: up to 40 LPA
Mandatory Criteria (Can't be neglected during screening) :
Need candidates from Growing startups or Product based companies only
1. 4–6 years experience in backend engineering
2. Minimum 2+ years hands-on experience with:
- TypeScript
- Express.js / Nest.js
3. Strong experience with MongoDB (or MySQL / PostgreSQL / DynamoDB)
4. Strong understanding of system design & scalable architecture
5. Hands-on experience in:
- Event-driven architecture / Domain-driven design
- MVC / Microservices
6. Strong in automated testing (especially integration tests)
7. Experience with CI/CD pipelines (GitHub Actions or similar)
8. Experience managing production systems
9. Solid understanding of performance, reliability, observability
10. Cloud experience (AWS preferred; GCP/Azure acceptable)
11. Strong coding standards — Clean Code, code reviews, refactoring
If interested kindly share your updated resume at 82008 31681
Job Title: DevOps Engineer
Location: Remote
Type: Full-time
About Us:
At Tese, we are committed to advancing sustainability through innovative technology solutions. Our platform empowers SMEs, financial institutions, and enterprises to achieve their Environmental, Social, and Governance (ESG) goals. We are looking for a skilled and passionate DevOps Engineer to join our team and help us build and maintain scalable, reliable, and efficient infrastructure.
Role Overview:
As a DevOps Engineer, you will be responsible for designing, implementing, and managing the infrastructure that supports our applications and services. You will work closely with our development, QA, and data science teams to ensure smooth deployment, continuous integration, and continuous delivery of our products. Your role will be critical in automating processes, enhancing system performance, and maintaining high availability.
Key Responsibilities:
- Infrastructure Management:
- Design, implement, and maintain scalable cloud infrastructure on platforms such as AWS, Google Cloud, or Azure.
- Manage server environments, including provisioning, monitoring, and maintenance.
- CI/CD Pipeline Development:
- Develop and maintain continuous integration and continuous deployment pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
- Automate deployment processes to ensure quick and reliable releases.
- Configuration Management and Automation:
- Implement infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.
- Automate system configurations and deployments to improve efficiency and reduce manual errors.
- Monitoring and Logging:
- Set up and manage monitoring tools (e.g., Prometheus, Grafana, ELK Stack) to track system performance and troubleshoot issues.
- Implement logging solutions to ensure effective incident response and system analysis.
- Security and Compliance:
- Ensure systems are secure and compliant with industry standards and regulations.
- Implement security best practices, including identity and access management, network security, and vulnerability assessments.
- Collaboration and Support:
- Work closely with development and QA teams to support application deployments and troubleshoot issues.
- Provide support for infrastructure-related inquiries and incidents.
Qualifications:
- Education:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Experience:
- 3-5 years of experience in DevOps, system administration, or related roles.
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Technical Skills:
- Proficiency in scripting languages like Bash, Python, or Ruby.
- Strong experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Knowledge of configuration management tools (Ansible, Puppet, Chef).
- Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
- Understanding of networking concepts and security best practices.
- Soft Skills:
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced environment and manage multiple tasks.
Preferred Qualifications:
- Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Knowledge of microservices architecture and serverless computing.
- Familiarity with database administration (SQL and NoSQL databases).
- Experience with Agile methodologies and working in a Scrum or Kanban environment.
- Passion for sustainability and interest in ESG initiatives.
Benefits:
- Competitive salary and benefits package,and performance bonuses.
- Flexible working hours and remote work options.
- Opportunity to work on impactful projects that promote sustainability.
- Professional development opportunities, including access to training and conferences.
- Strong technical skills on UiPath, and end to end UiPath offerings
- Understanding of workflow-based logic and hands on experience with RE-framework.
- Excellent communication skill is a must
- Basic programming/Scripting knowledge on VBA/VB/java/C# script is must
- Knowledge in cognitive automation with OCR tools, AI/ML skills is a plus.
- Excellent software development background with any of the following (C#, C++, Java, .NET) is a plus
- Experience working on other RPA tools/vendors is a plus
- Experience in the field of Bot development
- UiPath RPA developer advanced certificate must.
. Sound knowledge of NoSQL databases like mongo.
. Experience with replication , sharding and scaling.
. Design, install, maintain highly available systems (includes monitoring, security, backup, and performance tuning)
. Implement secure database and server installations (privilege access methodology / role based access)
. Help application team in Cyper query writing, performance tuning & other D2D issues
• Deploy automation techniques for d2d operations
. Must possess good analytical and problem solving skills
. Must be willing to work flexible hours as needed
. Scripting experience a plus
. Ability to work independently and as a member of a team
. Strong verbal and written communication skills
Responsibilities:
- Responsible for design and development of high end, robust, scalable products that disrupt the market
- Technically-intense role with primary focus on building cool products in a niche domain
- Evolution into Principal Software Engineers and Team leads and beyond based on one’s ability to demonstrate very strong technical expertise and project & people management skills.
- Reviewing code work for accuracy and functionality
- Analyzing code segments regularly.
Requirements:
Experience Range: 3+
Role: Software Engineer – final role will depend on candidate’s experience and credentials
Education: BE/B. Tech/MCA/M.Sc./MTech
Technology Stack: Java, Hibernate, spring, spring boot, Microservices, MySQL, reactJS, Elastic Search, AWS Infra
Should have hands-on experience in the following:
- Hands on experience in designing and developing applications using NodeJS and have at least 3 - 4
- years’ experience on the same.
- Should have excellent in-depth knowledge on Nodejs and Mongo DB.
- Working knowledge of RESTful web services.
- Basic understanding of front-end technologies, such as HTML5, and CSS3.
- Integration of user-facing elements developed by front-end developers with server side logic
- Design and implementation of low-latency, high-availability, and performant applications
- Proficient understanding of code versioning tools, such as Git
- Good communication skills.
- Experience in working effectively within a team.
We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.
Roles and Responsibilities:
- Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
- Develop programs in Scala and Python as part of data cleaning and processing.
- Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.
- Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
- Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Provide high operational excellence guaranteeing high availability and platform stability.
- Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.
Skills:
- Experience with Big Data pipeline, Big Data analytics, Data warehousing.
- Experience with SQL/No-SQL, schema design and dimensional data modeling.
- Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
- Experience in designing systems that process structured as well as unstructured data at large scale.
- Experience in AWS/Spark/Java/Scala/Python development.
- Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
- Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
- Prior exposure to streaming data sources such as Kafka.
- Should have knowledge on Shell Scripting and Python scripting.
- High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
- Experience with NoSQL databases such as Cassandra / MongoDB.
- Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
- Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
- Experience building and deploying applications on on-premise and cloud-based infrastructure.
- Having a good understanding of machine learning landscape and concepts.
Qualifications and Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.
Certifications:
Good to have at least one of the Certifications listed here:
AZ 900 - Azure Fundamentals
DP 200, DP 201, DP 203, AZ 204 - Data Engineering
AZ 400 - Devops Certification










