Sr. DevOps Associate, Software Engineering

Summary of Position:

We are seeking a Senior DevOps Engineer with 5 years of experience in designing building and managing CI/CD pipelines cloud infrastructure and DevOps toolchains for enterprise-scale applications. The role requires strong hands-on expertise in infrastructure automation pipeline engineering containerization cloud services security integration and full-stack development capabilities.

The candidate will be responsible for architecting and maintaining robust build and deployment pipelines managing cloud infrastructure embedding quality and security gates across the software delivery lifecycle and collaborating closely with development QA architecture and infrastructure teams to enable fast reliable and secure software delivery.

Key Responsibilities:

Design build and maintain end-to-end CI/CD pipelines supporting automated builds testing deployments and release management using GitHub Actions Jenkins and related tooling.

Set up configure and manage cloud infrastructure on AWS ensuring scalability security high availability and cost optimization.

Implement and manage containerization and orchestration using Docker and Kubernetes for consistent and scalable application deployment across environments.

Architect and maintain Infrastructure as Code (IaC) using tools such as Terraform CloudFormation or similar to enable repeatable version-controlled infrastructure provisioning.

Integrate security scanning (SAST/DAST) and compliance checks into build and deployment pipelines to enforce DevSecOps practices across the delivery lifecycle.

Develop and maintain full-stack application components / C# and modern front-end technologies to support internal tooling developer platforms and automation dashboards.

Configure and manage artifact repositories binary management and dependency management using tools such as JFrog Artifactory and NuGet.

Automate environment provisioning configuration management and deployment workflows to reduce manual overhead and accelerate delivery cycles.

Collaborate with development QA and architecture teams to embed quality gates automated testing and production readiness checks within pipelines.

Drive observability and operational excellence by implementing application monitoring log aggregation distributed tracing and alerting using tools such as Datadog Zipkin and similar.

Support performance engineering initiatives by enabling scalable test execution environments and integrating performance test tools like JMeter and NeoLoad into pipelines.

Perform troubleshooting root cause analysis and resolution of build failures deployment issues and infrastructure incidents across distributed systems and cloud environments.

Contribute to platform engineering initiatives by building internal developer tools self-service platforms and engineering productivity solutions.

Stay current with emerging DevOps practices cloud technologies and automation capabilities and proactively identify opportunities to improve delivery efficiency and system reliability.

Key Requirements/Minimum Qualifications:

Programming Languages

C# (.NET Core / .NET 6/7/8)

Python

JavaScript / TypeScript

SQL

Shell / Bash scripting

PowerShell

Experience with Java for interoperability and legacy system support (Good to have)

Full-Stack Development

.NET Core / Core for backend services and APIs

Web API / RESTful Services / MVC

Entity Framework / ORM Tools

Front-end development using React Angular or similar modern JavaScript frameworks

HTML5 CSS3 JavaScript / TypeScript

Experience building internal tools dashboards and developer portals

Understanding of Microservices-based application architecture

RESTful APIs and OpenAPI / Swagger

CI/CD & Pipeline Engineering

Strong expertise in designing and managing CI/CD pipelines

GitHub Actions

Jenkins

JFrog Artifactory for artifact and binary management

Build automation and release orchestration

Pipeline-as-Code practices

Integration of automated testing security scans and quality gates within pipelines

Experience with branching strategies versioning and release management workflows

Cloud & Infrastructure

Strong hands-on experience with AWS Cloud Services (EC2 S3 Lambda RDS ECS EKS IAM VPC CloudWatch)

Infrastructure as Code using Terraform and/or AWS CloudFormation

Familiarity with Azure or GCP (Good to have)

Cloud networking security groups and access management

Cost optimization and resource management on cloud platforms

Scalable and highly available infrastructure design

Containerization & Orchestration

Docker for containerization of applications and test environments

Kubernetes for container orchestration scaling and management

Helm charts for Kubernetes deployment management

Container registry management

Experience with service mesh concepts (Good to have)

Security & DevSecOps

Integration of SAST and DAST tools into CI/CD pipelines

Secrets management and secure credential handling

Container security scanning

Compliance-as-Code practices

Understanding of security best practices for cloud infrastructure and deployments

Vulnerability management and remediation workflows

Observability & Reliability Engineering

Datadog

Zipkin

Distributed Tracing

Application Monitoring and Alerting

Log Aggregation and Analysis

Performance Tuning and Bottleneck Identification

Reliability Engineering practices

Production Support and Incident Management

Operational Excellence and SLA/SLO management

Database Expertise

Working knowledge of Relational Database Management Systems (RDBMS)

Database deployment automation and migration scripting

Query writing and basic optimization skills

Understanding of data integrity and backup strategies

Familiarity with database reliability and failover practices

Artificial Intelligence & Emerging Technologies

Awareness of Generative AI and its applications in DevOps and engineering productivity

Exposure to AI-driven development practices and intelligent automation

Interest in adopting emerging technologies for infrastructure optimization and delivery acceleration

Familiarity with AI Agents spec-driven development concepts (Good to have)

Required Competencies

Strong analytical thinking and problem-solving capabilities with a systems-level mindset.

Ability to diagnose troubleshoot and resolve complex infrastructure pipeline and deployment issues in distributed enterprise environments.

Solid understanding of software development lifecycle and ability to bridge development and operations effectively.

Effective collaboration and communication skills across development QA architecture and infrastructure teams.

Strong focus on automation reliability security and operational excellence in every aspect of delivery.

Ability to build and maintain full-stack applications to support internal tooling and developer productivity.

Willingness to mentor junior team members on DevOps practices tooling and best practices.

Ability to balance infrastructure responsibilities with development and automation activities.

Proactive mindset towards continuous improvement learning and engineering excellence.

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

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