This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Associate Staff Engineer (Cloud Development) in India.

As an Associate Staff Engineer in Cloud Development, you will design, implement, and maintain cloud-native solutions that ensure scalability, reliability, and observability across complex systems. You will work closely with cross-functional teams to build automated monitoring, alerting, and performance optimization solutions using modern cloud technologies. This role provides an opportunity to gain hands-on experience with infrastructure-as-code, container orchestration, observability tools, and CI/CD pipelines while contributing to high-impact projects. You will also participate in defining best practices for cloud architecture, system reliability, and operational excellence, shaping the foundation for large-scale, production-ready environments. Your work will directly influence system performance and reliability, while offering opportunities for mentorship and technical growth.

Accountabilities

• Design and implement cloud-native solutions using Terraform, Kubernetes (K8s), and Helm for scalable infrastructure.
• Configure, integrate, and manage observability tools (Datadog, Dynatrace, NewRelic) for monitoring, logging, tracing, and alerting.
• Collaborate with engineering teams to ensure robust monitoring, automated alerting, and operational insights.
• Enhance system reliability and performance by integrating observability practices into cloud applications.
• Participate in architecture and design reviews, ensuring scalability, security, and best practices are followed.
• Conduct proof-of-concepts (POCs) to validate designs, technologies, and cloud strategies.
• Resolve technical issues using root-cause analysis and system-wide troubleshooting.
• Contribute to documentation, standards, and guidelines for cloud and observability practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong hands-on expertise in at least one observability tool (Datadog, Dynatrace, NewRelic).
• Proficiency in cloud environments and infrastructure-as-code tools (Terraform, Ansible).
• Experience with containerization and orchestration technologies (Docker, Kubernetes, Helm).
• Familiarity with CI/CD pipelines and tools (Jenkins, GitLab).
• Knowledge of system architecture, monitoring strategies, and SRE/DevOps principles.
• Experience in incident management, root cause analysis, and operational problem-solving.
• Strong collaboration, communication, and analytical skills, with the ability to work effectively across teams.

Benefits

• Competitive salary and performance-based incentives.
• Opportunities to work with modern cloud technologies and observability practices.
• Hands-on experience in high-impact projects across large-scale cloud environments.
• Collaborative, dynamic, and non-hierarchical work culture.
• Flexibility for professional development, mentorship, and continuous learning.
• Exposure to cross-functional teams and global cloud engineering best practices.

Jobgether Hiring Process

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1