Senior Engineer- Cyber Security & Risk assessment

·        Responsible for handling IT requirements from US based clients.

·        Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

·        Sourcing from Job Portals (Monster, Dice, Career builder), making job postings on the Job Portal.

·        Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

·        Responsible to work on C2H (Contract to Hire) positions.

·        Responsible for coordinating the fulfilment of other formalities such as background check, drug test etc. leading to joining post placement.

·        Responsible for achieving a good conversion ratio of submittals into interview and placement.

·        Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

·        Must be having capability to work with a team or individually.

·        Maintain close contact with candidates/Vendors/ recruiters/offshore team.

·        Publish progress report to management every week.

·        Updated about technologies of the Client requirements and knowledge of current IT trends.

Shift Timing: US Shift Timing

About the Internship

LetsIntern is looking for passionate and motivated candidates for the AI & Machine Learning Internship Program. This internship is designed for students, freshers, and aspiring AI professionals who want hands-on experience working on real-world AI and Machine Learning projects.

Interns will gain exposure to practical AI workflows, data-driven problem solving, and industry-standard development practices under expert mentorship.

Roles & Responsibilities

✔ Assist in developing AI & Machine Learning models

✔ Work on real-world datasets and predictive analytics tasks

✔ Perform data preprocessing, cleaning, and visualization

✔ Support AI-based application development and testing

✔ Research and implement Machine Learning algorithms

✔ Collaborate with mentors and project teams on live tasks

✔ Prepare reports, insights, and documentation for projects

Skills & Technologies

• Python Programming

• Machine Learning Fundamentals

• Data Analysis & Visualization

• NumPy, Pandas, Matplotlib

• Deep Learning Basics

• NLP & Computer Vision (Basics)

• Model Training & Evaluation

Eligibility Criteria

✔ Students pursuing any degree (CS/IT preferred)

✔ Freshers interested in AI & ML

✔ Candidates passionate about Artificial Intelligence & Data Science

✔ Basic programming knowledge is a plus

✔ Strong willingness to learn and work on projects

What You’ll Gain

✔ Hands-on experience with AI & ML projects

✔ Live training sessions & mentorship

✔ Exposure to industry tools and workflows

✔ Internship Certificate

✔ Letter of Recommendation based on performance

✔ Opportunity to build a strong AI project portfolio

✔ Flexible & remote working environment

Job Title : AWS Data Engineer

Experience : 4+ Years

Location : Bengaluru (HSR – Hybrid, 3 Days WFO)

Notice Period : Immediate Joiner

💡 Role Overview :

We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.

🔥 Mandatory Skills :

Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security

🚀 Key Responsibilities :

• Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
• Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
• Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
• Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
• Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
• Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
• Collaborate with data analysts and data scientists to deliver actionable insights
• Work in an Agile environment to deliver high-quality data solutions

✅ Mandatory Skills :

• Strong Python (including AWS SDKs), SQL, Spark
• Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
• Experience with DBT and ETL/ELT pipeline development
• Workflow orchestration using Airflow / Step Functions
• Knowledge of data lake formats (Parquet, ORC, Iceberg)
• Exposure to DevOps practices (Terraform, CI/CD)
• Strong understanding of data governance and security best practices
• Minimum 4–7 years in Data Engineering (3+ years on AWS)

➕ Good to Have :

• Understanding of Data Mesh architecture
• Experience with platforms like Data.World
• Exposure to Hadoop / HDFS ecosystems

🤝 What We’re Looking For :

• Strong problem-solving and analytical skills
• Ability to work in a collaborative, cross-functional environment
• Good communication and stakeholder management skills
• Self-driven and adaptable to fast-paced environments

📝 Interview Process :

1. Online Assessment
2. Technical Interview
3. Fitment Round
4. Client Round

🔧 Design Engineer (Work From Home)

💰 CTC: ₹22,000/month

📍 Location: Remote (WFH)

🕒 Job Type: Full-Time

Preferred Skills & Qualifications:

• Certification in AutoCAD and/or Tekla Structures.
• Strong understanding of structural design concepts.
• Prior experience in modeling PEB Buildings, Hi-Rise Buildings, Cranes, or Transfer Trolleys is a plus.
• Ability to work independently with minimal supervision.
• Good communication skills and a team-oriented attitude.

📩 Ready to apply?

Send your updated CV and portfolio to 82008 31681

Responsibilities:

• Take on complex problems that span multiple components and teams.

• Independently own one or more multiple modules, which include: requirement analysis, design, development, maintenance & support

• Write extensive, efficient code to address complex modules that handle the interaction between multiple components.

• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions

• Produce architecture with clean interfaces, that are efficient and scalable

• Participate and contribute to architectural discussions

• Solve production issues. Investigate and provide solutions to minimize the business impact due to the outage

• Continuously improve performance metrics of modules you own.

• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements:

• Experience: 3+ years

• A Bachelor's or Master's Degree in Computer Science

• Software engineering and product delivery experience, with a strong background in algorithms

• Experience in architecting & building real-time, large-scale e-commerce applications

• Experience with high-performance websites catering to millions of daily traffic is a plus

• Excellent command over Data Structures and Algorithms

• Experience with web technologies, Go/Java/Python

• Language: GO or Python

• Strong expertise in DS and Algo

• Strong leadership skills - have experience mentoring, building products from scratch or incumbent in design and architecture.

• Have worked in the scaling of the system right from scratch.

• Someone worked in small user base to a large user base and wrote optimized code

• Both HLD and LLD

Location : Gulbai tekra Ahmedabad

Salary upto 25k

Any graduate

Only female candidate

Ahmedabad based candidate

About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Roles & Responsibilities

1. Ensure that the application doesn’t misbehave under changing user load and that no bugs or errors reach the end-users.

2. Understands and analyze performance test requirements - Develops performance test script suite and Executes tests —> Captures —> Analyzes results.

3. Conduct system performance testing to ensure system reliability, capacity and scalability and reports performance test progress & defects.

4. Maintains performance script repository.

5. Writing test scripts of various test phases like integration, regression, system.

6. Analyzing users stories / Use cases / requirements for validity and feasibility.

7. Interact with SMEs & Business to gather PT/PE requirements.

8. Identifying tools and techniques to improve testing quality and efficiency.

9. Raise issues or concerns to the stakeholders upfront and if required come up with mitigation plan.

10. Collect all metrics (Client Side, Server Side, DB, Network and Load Balancer) and analyse the performance metrics and bottlenecks to suggest corrective actions.

11. Design and create benchmark scenarios and prepare performance benchmark documents.

12. Prepare test summary reports for management review.

13. Collaborate closely with other team members and departments and assist in other performance engineering activities as needed.

Seniority Level - Entry level

Industry - Information Technology & Services

Employment Type - Full-time

Job Functions - Product Development

Employment Type - Full-time

Job Description

• Design & implement backend APIs
• Mentor junior developers technically.
• Actively work to reduce tech debt in the backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS etc. 

Eligibility

• 2-8 years of product company experience
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.