Lead Performance Engineer

Required Skills

* Strong hands-on experience with any one of the following performance testing tools (mandatory): IBM Rational Performance Tester (RPT) (Preferable), LoadRunner, Apache JMeter.

* Proven capability to establish and run Performance Engineering cycles independently.

* Solid understanding of API performance & microservices, distributed systems & high-throughput transaction platforms.

* Strong fundamentals in SQL basics & database performance.

* Experience with Linux OS performance metrics and system-level analysis.

* Ability to interpret APM/log insights and translate them into actionable tuning recommendations.

Immediate Hiring | QA Engineer-Performance testing

📍 Location: Bangalore

💼Experience: 5 Years

We are looking for a strong QA Engineer with hands-on experience in Groovy, Java and JMeter, along with a solid understanding of automation framework design, API testing and cloud-based applications.

Key Skills Required

• QA Automation & Framework Design

• Groovy + Java for automation testing

• JMeter – Performance Testing

• Go / Golang, Ginkgo – preferred

• API Integration Testing

• AWS – practical experience

• CI/CD amp; Test Automation Pipelines

• Debugging, failure investigation, flaky test analysis

• Strong aptitude, reasoning and problem-solving skills

What We’re Looking For

✔ Ability to design and maintain reusable automation frameworks

✔ Strong understanding of API, integration and end-to-end testing

✔ Experience designing performance workloads and analyzing JMeter results

✔ Ability to troubleshoot using AWS logs and monitoring

✔ Good understanding of test reliability and CI/CD environments

✔ Someone who can independently identify edge cases and investigate failures

Job Summary

We are looking for a QA Automation Engineer with strong experience in performance testing using JMeter, Groovy, and Java, along with knowledge of automation frameworks and API testing.

Mandatory Skills

• Hands-on experience with Apache JMeter, Groovy, and Java for performance and load testing.
• Experience in API, integration, and end-to-end testing.
• Knowledge of automation framework design and debugging.
• Experience with AWS, CI/CD pipelines, and test reliability.
• Strong analytical, reasoning, and problem-solving skills.

Preferred Skills

• Experience with Go (Golang) programming and Ginkgo testing framework.
• Experience testing cloud-hosted applications and troubleshooting using logs and monitoring.

Immediate Hiring | QA Automation Engineer

📍 Location: Bangalore

💼Experience: 5 Years

We are looking for a strong QA Automation Engineer with hands-on experience in Groovy, Java and JMeter, along with a solid understanding of automation framework design, API testing and cloud-based applications.

Key Skills Required

• QA Automation & Framework Design

• Groovy + Java for automation testing

• JMeter – Performance Testing

• Go / Golang, Ginkgo – preferred

• API Integration Testing

• AWS – practical experience

• CI/CD amp; Test Automation Pipelines

• Debugging, failure investigation, flaky test analysis

• Strong aptitude, reasoning and problem-solving skills

What We’re Looking For

✔ Ability to design and maintain reusable automation frameworks

✔ Strong understanding of API, integration and end-to-end testing

✔ Experience designing performance workloads and analyzing JMeter results

✔ Ability to troubleshoot using AWS logs and monitoring

✔ Good understanding of test reliability and CI/CD environments

✔ Someone who can independently identify edge cases and investigate failures

About the team

SecurITe’s mission is to build an Agentic‑AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for a seasoned Senior Quality Engineer to provide technical leadership and architectural oversight for our next‑generation cybersecurity AI platform. In this high-impact role, you will define the technical strategy for quality assurance, ensuring our agentic AI transforms cyber defense with unparalleled reliability.

You will be responsible for the end-to-end quality lifecycle, from architectural reviews to the deployment of scalable automation frameworks. Beyond technical execution, you will serve as a mentor to junior team members, fostering a culture of technical excellence and driving the strategy that ensures our solutions meet the rigorous demands of critical infrastructure protection.

What You’ll Do

●    Defining and driving comprehensive QA strategies and roadmaps for the cybersecurity platform.

●    Designing, developing, and executing test plans, test cases, and automated scripts to ensure software quality.

●    Performing functional, regression, performance, scalability and security testing to identify bugs or defects.

●    Collaborating with developers, product managers, and other stakeholders to understand product requirements and testing needs.

●    Identifying, documenting, and tracking software defects, ensuring clear communication of issues and their resolutions.

●    Leading deep-dive root-cause analysis for critical system defects and security vulnerabilities.

●    Conducting thorough reviews of product specifications and software design to identify potential areas of concern before testing.

●    Architecting and designing complex, scalable test automation frameworks to optimize CI/CD velocity.

●    Ensuring the software meets customer and business requirements by validating the functionality and performance.

●    Assisting in continuously improving QA processes, tools, and best practices to enhance software testing efficiency and effectiveness.

●    Supporting user acceptance testing (UAT) and assisting clients with product validation.

●    Mentoring junior and mid-level engineers, providing technical guidance and conducting architectural reviews.

Required Experience

●    A Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field.

●    8-10 years of proven experience in quality engineering, specifically within network cybersecurity, Identity Providers, or AI-integrated platforms.

●    Expertise in manual and automated testing.

●    Deep domain expertise in complex system validation and advanced automation practices at scale.

●    Proficiency in programming languages like Python to build and run automated test scripts.

●    "Strong knowledge of software testing methodologies, performance testing tools (e.g., JMeter, k6), and security traffic generation/simulation tools (e.g., Ixia BreakingPoint, Scapy, or Snort/Suricata traffic generators)."

●    Understanding of continuous integration/continuous deployment (CI/CD) pipelines and version control systems like Git.

●    Strong communication skills for documenting test results and interacting with cross-functional teams.

●    Excellent analytical skills, attention to detail, and problem-solving ability.

●    Ability to work independently as well as collaboratively in a team environment.

●    A curious mindset with a willingness to quickly learn new technologies and testing tools.

Required Skills & Qualifications

●    Familiarity with cloud-based testing environments (GCP, AWS, Azure).

●    Experience with cybersecurity products or cloud services or IDP or Web UI

The Mindset

●    Problem Solver: You thrive on complex, ambiguous challenges and engineer elegant solutions.

●    Ownership‑Driven: You take initiative, move fast, and deliver outcomes without hand‑holding.

●    Continuous Learner: You stay ahead of the curve in AI, ML, and emerging technologies.

●    Startup DNA: You excel in fast‑moving environments where priorities evolve and impact is immediate.

Position Overview 

The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems. 

Responsibilities 

• Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms 
• Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning 
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection 
• Deploy, maintain and monitor containerized ML workloads 
• Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows 
• Implement AI-driven data validation, schema and concept drift detection and metadata management. 
• Establish governance frameworks for AI systems, including bias detection, explainability, and auditability 
• Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention 
• Develop automated test suites for model performance, regression, edge cases and bias validation 
• Monitor model KPIs (accuracy, precision, recall, latency, calibration) 
• Ensure reproducability of experiments and production models 
• Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption 

Qualifications 

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field 
• 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering 
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure 
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn 

Strong Senior QA/SDET Profile with hands-on automation building and QA-function ownership

2

Mandatory (Experience 1): Must have 6+ years in QA/test automation/SDET roles with clear progression in scope (Engineer to Senior to Lead)in a B2B SaaS product company

3

Mandatory (Experience 2): Must have direct experience scaling a QA function at a SaaS company and building automation frameworks or QA processes from scratch

4

Mandatory (Tech skill 1): Must have hands-on UI automation experience with Selenium (Java + TestNG) or Playwright / Cypress (JavaScript / TypeScript) using maintainable design patterns like Page Object Model

5

Mandatory (Tech skill 2): Must have API testing & automation experience with Postman and RestAssured (or equivalent) for functional, integration, and contract testing

6

Mandatory (Tech skill 3): Must have experience with CI/CD integration (Jenkins or GitHub Actions) and Git for version control

7

Mandatory (Skill 1): Must have a strong grasp of Agile / Scrum delivery and JIRA for defect and test management

8

Mandatory (Skill 2): Must have experience leading or mentoring QA engineers and collaborating cross-functionally with developers and product teams

9

Mandatory (Skill 3): Must have solid experience using AI in test automation and manual testing exposure

10

Mandatory (Communication): Must have strong communication skills for cross-functional collaboration

11

Mandatory (Company): Must come from a B2B SaaS

Job Title: Java SDET / Automation Test

Experience: 5+ Years

Location: Hyderabad

Work Mode: 4 Days WFO

Interview Process:

• L1: Case Study – GitHub Repository
• L2: Face-to-Face – Hyderabad

Job Summary

We are looking for an experienced Java SDET / Automation Test Lead with strong expertise in Java, Selenium, automation testing, and AI-powered testing tools. The candidate will be responsible for leading automation testing activities, developing robust test frameworks, ensuring product quality, and improving testing efficiency using AI tools.

Mandatory Skills

• Java
• Selenium WebDriver
• Automation Testing / SDET
• Test Automation Frameworks
• Test Planning & Test Case Development
• AI Tools for Development & Test Automation
• End-to-End Testing
• Test Data Creation
• Defect Tracking

Preferred Skills

• AI Testing Frameworks
• API Testing – Postman / SoapUI
• Performance Testing
• CI/CD
• Agile/Scrum
• Database Testing & SQL

Roles & Responsibilities

• Lead software testing activities and ensure high-quality deliverables.
• Design, develop, and execute automated test scripts using Java and Selenium.
• Develop and maintain test plans, test cases, and test data.
• Identify, document, and track defects.
• Mentor and guide junior testers.
• Collaborate with development teams to improve testability and automation strategies.
• Use AI tools to improve testing and automation efficiency.
• Participate in code reviews and contribute to testing best practices.
• Perform end-to-end testing and ensure application quality.
• Report testing progress and results to stakeholders.

📩 Interested candidates can share their updated resumes:

Email: pavithra.e @vysystems. com

Contact: 8 9 2 5 8 0 2 4 5 7

Very strong infra engineer to administer Linux based VMs (and few Windows VMs as well).

Must have strong knowledge and hands-on on docker, Kubernetes

Must be good at monitoring (AppDynamics, Prometheus, Grafana) and logging (Splunk)

Develop automation scripts using Shell and Python. Must have good knowledge in Ansible.

Should be good at optimize/finetune server configurations.

 Should be good in troubleshoot issues and fix them.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering