This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
DevOps Engineer III
in
India
.As a senior DevOps Engineer, you will take full ownership of the company’s infrastructure, designing and managing highly resilient systems to support AI-powered applications at scale. You will implement cloud-native solutions, optimize deployment pipelines, and ensure reliability, observability, and security across multi-cloud environments. The role requires hands-on expertise in Kubernetes, CI/CD, vector databases, and monitoring tools, while also mentoring peers and influencing best practices. You will collaborate closely with AI, engineering, and product teams to ensure smooth delivery of mission-critical workflows and contribute to shaping the company’s infrastructure strategy.
- Accountabilities
- Design, implement, and scale infrastructure across cloud providers (AWS, GCP, Azure), ensuring high availability and disaster recovery.
- Build and manage Kubernetes clusters, service meshes, and secure ingress controllers for resilient workloads.
- Architect and maintain CI/CD pipelines using ArgoCD, Jenkins, or GitOps workflows.
- Deploy and monitor AI/LLM workflows, defining key performance, latency, and cost metrics.
- Implement observability, logging, and tracing for multi-turn queries and real-time pipelines.
- Manage and optimize vector databases for high concurrency and hybrid retrieval tasks.
- Develop scripts and tools (Python, Bash, Go) for automation, log management, and operational support.
- Mentor team members and promote DevOps best practices across the organization.
- Requirements
- 5–8 years of core DevOps experience with hands-on infrastructure design and management.
- Expertise in Docker, Kubernetes, Helm, and container orchestration.
- Proficient in infrastructure-as-code tools such as Terraform and Crossplane.
- Experience building and maintaining CI/CD pipelines and custom deployment automation.
- Proven ability to deploy and manage AI/LLM workflows in production environments.
- Expertise in vector databases (Pinecone, Weaviate, Milvus) and cloud-native observability tools (Prometheus, Grafana, OpenTelemetry).
- Strong scripting skills (Python, Bash, Go) and knowledge of cloud security best practices.
- Familiarity with service meshes, networking, and multi-cluster architectures.
- Bonus: experience with AI/ML platforms, compliance in regulated environments, and fast-paced product teams.
- Benefits
- Competitive salary and performance-based incentives.
- Flexible remote work with a collaborative, high-trust environment.
- Health and wellness support programs.
- Professional development and training budget.
- Opportunities to work on cutting-edge AI infrastructure projects.
- Inclusive and diverse company culture with mentorship and career growth opportunities.
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 three 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!By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
