Manager - Data engineer (PharmaTech/Life ScienceTech)

Job Title : QA Automation Engineer – Capital Markets

Experience : 6 to 8 Years

Location : Pune (Work From Office)

Domain Preference : Candidates from Banking, Capital Markets, or Financial Services only

Important Note :

• A video screenshot will be taken at the initial stage of candidate submission.

Job Description :

We are seeking an experienced QA Automation Engineer with a strong background in Capital Markets or Equities to join our team in Pune. The ideal candidate will have hands-on experience in test automation using Cucumber, along with solid programming skills in Java, familiarity with FIX protocol, and an understanding of the Trade Lifecycle.

Mandatory Skills :

Automation Testing using Cucumber, Java, FIX Protocol, Unix/Shell Scripting, Equities/Capital Markets/Trade Lifecycle experience.

Key Responsibilities :

• Design and develop automated test scripts using the Cucumber framework.
• Collaborate with cross-functional teams to ensure end-to-end test coverage of Capital Markets workflows.
• Work with the development and business teams to validate requirements and specifications.
• Leverage your understanding of the FIX protocol to test electronic trading systems.
• Perform testing using Unix/Shell scripts and support test environments.
• Analyze and report test results, logging defects, and following up on resolutions.

Required Skills :

• 6 to 8 Years of experience in Quality Assurance and Automation Testing.
• Strong experience in Automation Testing using Cucumber.
• Proficiency in Java for writing test scripts.
• Good understanding of FIX Protocol.
• Exposure to Unix/Linux and ability to write Shell scripts.
• Deep understanding of Trade Lifecycle, Capital Markets, or Equities domain.
• Basic understanding of Python is a plus.

Preferred Background

• Prior experience working with banks, broking firms, investment institutions, or capital market platforms.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.

AI & ML (45 Days – Live Hands‑On)

Program Fee: ₹25,000

Duration: 45 Days

Mode: Hybrid (Online Sessions + Live Lab Access)

Eligibility: Freshers, Final‑Year Students, and Career Switchers

About the Internship

This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.

Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:

• Cloud/Infra Engineer
• DevOps Engineer
• Security Analyst
• AI/ML Engineer
• Site Reliability Engineer (SRE)

Key Highlights

• 45 days of practical, mentor-led training
• Live production-style projects and deployments
• Hands‑on experience with:
• AWS / Azure Cloud
• Terraform, CI/CD, Docker, Kubernetes
• Security Hardening & IAM
• Python ML pipelines & model deployment
• Architect & deploy real systems using best practices
• Build portfolio-ready projects
• Receive an industry-recognized Internship Certificate

What You Will Learn

1️⃣ Cloud Infrastructure & DevOps

• Cloud fundamentals (AWS/Azure/GCP)
• Linux administration & scripting
• VPC, Subnets, Routing, NAT, Firewalls
• EC2 provisioning & autoscaling
• Load balancing & High Availability
• Terraform for Infrastructure as Code
• CI/CD pipelines using Jenkins / GitHub Actions
• Docker containerization & Kubernetes basics

2️⃣ Cybersecurity & Cloud Security

• IAM roles, policies, access control
• Server security & hardening
• SSL/TLS, encryption, key management
• Secure VPC & subnet design
• Threat detection & logging
• Secrets management
• Network segmentation & firewall best practices

3️⃣ AI & Machine Learning

• Python for ML
• Supervised and unsupervised algorithms
• Data preprocessing & model training
• Model evaluation & optimization
• Build ML inference APIs using FastAPI/Flask
• Containerize and deploy ML models to cloud
• Integrate monitoring for ML workflows

✅ Live Hands‑On Projects

Interns will work on real-world, production-grade projects such as:

• Deploy a secure 3‑tier web application on cloud
• Automate infra provisioning using Terraform
• Build CI/CD pipelines for automated deployments
• Harden servers & configure security groups, IAM
• Develop and deploy an ML model as a cloud API
• Create monitoring dashboards with Prometheus/Grafana
• End-to-end system deployment with logging and alerting

Each intern will complete a Capstone Project and present it during the final evaluation.

✅ Internship Deliverables

1. Internship Completion Certificate
2. 3+ Production‑level projects
3. GitHub portfolio with all code and deployments
4. Cloud & ML documentation
5. Resume enhancement and guidance
6. Career mentoring + interview preparation

✅ Who Should Apply

This internship is ideal for:

• Fresh graduates
• Final‑year engineering or IT students
• BSc, BCA, MCA, B.Tech learners
• Professionals switching careers to Cloud/DevOps/AI
• Anyone seeking hands‑on, real‑time industry experience

✅ Program Fee

₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)

✅ Certificate Provided

All participants will receive a verified Internship Certificate, including:

• Candidate Name
• Internship Duration & Dates
• Skills Covered
• Project Evaluation Score
• Authorized Signatory & Company Seal

• Excellent mobile app development experience
• Strong CS fundamentals OOPS concepts, algorithms data structures Core Java
• Deep knowledge of basic React Native components and Android Studio
• Ability to write well-documented, clean Java and Javascript code
• In-Depth knowledge of building tools like XCode, and Android Studio
• Knowledge of Android Studio and React Native Lifecycle and publishing cycles on Google and Apple app stores.
• Experience with Git and ES6
• Experience in the kotlin  and flutter  

🏆 Benefits

• Remote Possible - Work from anywhere in India though we promote Work From Office like revered Narayan Murthy is appealing. https://trak.in/tags/business/2022/03/14/infosys-founder-narayan-murthy-wants-all-employees-back-to-office-says-work-from-home-is-bad-for-productivity/">Read it
• Flexible work hours
• Annual Appraisal Cycles
• Healthcare plans are on the way
• Free e-learning courses and external training plus certifications
• Fewer deductions so In Hand, Salary is more
• Special Guidance on Financial Investment planning to help you save more
• Healthcare sessions with our Doctors
• We promote employees to take timely leaves and take care of family

Minimum 2 years of experience in the software development, including Project Management and

interactions with customers

• Solid understanding of the full software development life cycle

• Working Experience of

a) Ubuntu 18.04.4 LTS

b) Java 1.8

c) Tomcat 9

d) Spring boot framework 2.2.2. RELEASE

e) Spring OAuth2 2.4.0. RELEASE

f) Spring Security JWT 1.1.0.RELEASE

g) Spring Log4j2

h) Hibernate 3.13.3

i) Nginx 1.14.0

j) Hikari Connection Pool

k) Mariaj Connector

l) Google Recaptcha

m) Redis client 3.3.0

Qualification

Key Responsibilities:

• Reviewing software requirements and preparing test scenarios.
• Executing tests on software usability.
• Analyzing test results on database impacts, errors or bugs, and usability.
• Preparing reports on all aspects related to the software testing carried out and reporting to the design team.
• Interacting with clients to understand product requirements.
• Participating in design reviews and providing input on requirements, product design, and potential problems.

Job Requirements:

• A bachelor's degree in computer science or related field.
• Up-to-date knowledge of software test design and testing methodologies.
• Working knowledge of test techniques and compatibility with various software programs.
• Working knowledge of programming.
• Excellent communication and critical thinking skills.
• Good organizational skills and detail-oriented mindset.