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Salary
≈ $29k – $76k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 10+ years exp

First seen by Alion on Oct 21, 2026.

Overview
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Founded in 2019, Codvo.ai is an enterprise artificial intelligence and digital transformation consultancy specializing in product engineering, cloud architecture, and governed AI deployment. Headquartered in Plano, Texas, United States, the enterprise serves organizations across the financial services, healthcare, retail, and industrial sectors. Powered by its NeIO operational platform, it enables businesses to transition from AI experimentation to production-ready, industry-specific automated workflows with built-in governance, compliance, and security controls.

Engineering Manager - Performance, Chaos Engineering & Security Validation

Job Summary :

We are looking for a hands-on Engineering Manager to lead Performance Engineering, Chaos Engineering, and Security Validation initiatives for large-scale distributed systems.

The role involves driving performance, scalability, resilience, and security testing strategies, identifying system bottlenecks, building reusable automation frameworks, and improving system observability and reliability.

Key Responsibilities :

- Drive performance, scalability, resilience, and security testing strategies for distributed systems.

- Identify and resolve application, API, database, and infrastructure bottlenecks.

- Design and execute chaos engineering and fault-injection experiments to evaluate system resilience.

- Develop reusable automation frameworks and testing tools.

- Establish observability through metrics, logs, traces, and monitoring dashboards.

- Lead technical discussions, mentor engineers, and collaborate with cross-functional teams.

- Drive technical decisions and take ownership of end-to-end engineering outcomes.

Required Skills and Experience :

- 10+ years of experience in Performance Engineering, Reliability Engineering, Site Reliability Engineering (SRE), or Quality Engineering.

- Hands-on expertise with performance testing tools such as JMeter, k6, LoadRunner, or similar tools.

- Experience with Chaos Engineering tools such as LitmusChaos and Chaos Mesh.

- Strong understanding of microservices, distributed systems, APIs, Kubernetes, cloud platforms, and observability tools.

- Exposure to application and API security testing.

- Proven ability to drive technical decisions and manage end-to-end engineering outcomes.

Preferred Technologies :

- Performance Testing : JMeter, k6, LoadRunner

- Chaos Engineering : LitmusChaos, Chaos Mesh

- Containers and Orchestration : Kubernetes, Docker

- Cloud Platforms : AWS, Azure, GCP

- Observability : Grafana, Prometheus

- Automation and CI/CD : Playwright, Jenkins, GitLab CI/CD

Skills

Engineering Management, Performance Tuning, Chaos Engineering, JMeter, Kubernetes, Observability Services, DevOps, Distributed Systems, AWS, Azure

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