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Devops Engineer

Aaxiscommerce · Pune, Maharashtra, 413512, India · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyAaxiscommerce
TitleDevops Engineer
Normalized title-
Department / teamDevops
LocationPune, Maharashtra
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-27 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aaxiscommerce.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Pune.Open
Department jobsActive postings in Devops.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAaxiscommerce
Sourcef2fb15c2-dea3-45e7-b46c-3233a9e548ed
ATS providerBambooHR

Description

Senior DevOps Engineer Location: Pune, Hybrid Employment Type: Full-Time About Aaxis.io At Aaxis.io, we design and build world-class digital commerce solutions for global brands. Our teams deliver scalable, secure, and cloud-native systems leveraging cutting-edge technology. We’re looking for a Senior DevOps Engineer to join our growing team in Pune, India. This role focuses on designing, tuning, securing, automating, and observing Google Cloud Platform (GCP) infrastructure and Kubernetes (GKE) clusters, while building highly reliable CI/CD pipelines for microservices-based systems powering complex digital commerce ecosystems. Key Responsibilities Design, deploy, and manage scalable cloud infrastructure on Google Cloud Platform (GCP) to support large-scale digital commerce applications. Set up, configure, and optimize Google Kubernetes Engine (GKE) clusters for high availability, performance, and security. Build and maintain secure, automated CI/CD pipelines using industry best practices to support microservices deployments. Implement infrastructure-as-code (IaC) using tools like Terraform , Pulumi , or Google Cloud Deployment Manager . Define and enforce security controls, policies, and monitoring strategies to ensure a robust production environment. Develop observability frameworks including logging, metrics, tracing, and alerting (e.g., Prometheus, Grafana, Stackdriver, ELK ). Continuously optimize cost, performance, and scalability of cloud environments. Collaborate closely with architects, developers, and QA engineers to enable AI-augmented DevOps workflows and faster release cycles. Explore and integrate AI-powered tools for automated infrastructure management, anomaly detection, performance tuning, and CI/CD optimization. Stay current with emerging cloud technologies, container orchestration, and DevOps tooling—with a forward-leaning focus on evolving solution architectures and how AI will automate and streamline DevOps practices—and proactively recommend improvements. Required Skills & Experience 7+ years of hands-on experience in DevOps, SRE, or Cloud Infrastructure engineering roles. Expertise in managing Google Cloud Platform (GCP) resources (Compute Engine, Cloud Run, Cloud Storage, IAM, Pub/Sub, etc.). Strong experience with Kubernetes (GKE preferred) for container orchestration and microservices deployments. Proficiency in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, ArgoCD, or Spinnaker . Solid experience with Infrastructure as Code (IaC) using Terraform , Pulumi , or similar tools. Strong skills in monitoring, logging, and observability using tools like Prometheus, Grafana, Google Cloud Operations Suite (Stackdriver), or ELK stack . Knowledge of container security best practices, including vulnerability scanning, secrets management, and RBAC. Scripting skills in Python, Bash, or Go for automation tasks. Familiarity with service mesh (e.g., Istio) and API gateway patterns is a plus. Preferred Qualifications A bachelor’s or master’s degree in computer science or related field Google Cloud Professional DevOps Engineer or Kubernetes Administrator (CKA) certification. Experience integrating AI-powered tools into DevOps workflows for: Automated code reviews and pipeline optimizations (e.g., GitHub Copilot, ChatGPT, Gemini). AI-based monitoring and anomaly detection. Infrastructure automation and self-healing systems. Knowledge of GitOps principles and tools (ArgoCD, Flux). Familiarity with digital commerce ecosystems (headless commerce, OMS, PIM systems). What We Offer Work on cutting-edge digital commerce platforms for global brands. A culture of innovation with a focus on AI-enhanced engineering practices . Opportunities for professional development and certifications in cloud and emerging technologies. Flexible work arrangements and a collaborative global team.

Full job record

Job ID9bc3e590e9db9290788f379eda7bd6ef3b649094
Org ID7292af79-7101-4c89-8529-2bab1e0589f3
Source IDf2fb15c2-dea3-45e7-b46c-3233a9e548ed
Board IDf2fb15c2-dea3-45e7-b46c-3233a9e548ed
Providerbamboohr
Provider Job Key61
TitleDevops Engineer
Normalized Title
Statusactive
Activeyes
Location TextPune, Maharashtra, 413512, India
DepartmentDevops
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
RegionMaharashtra
CityPune
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://aaxiscommerce.bamboohr.com/careers/61
Apply URLhttps://aaxiscommerce.bamboohr.com/careers/61
First Seen At2026-05-30 06:10:07Z
Last Seen At2026-06-06 10:32:18Z
Last Checked At2026-06-06 10:32:18Z
Last Changed At2026-05-30 06:10:07Z
Inactive At
Source Posted At2026-03-27 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=aaxiscommerce/date=2026-06-06/2026-06-06T10-32-17-761Z-58380bcbfe8491ec24b6667ba88ec2d85faee99743838b2cc1d24b11a63e244b.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span style=\"font-size: 24pt\"><span>Senior DevOps Engineer</span></span></p>\n<p><span style=\"font-weight: bold\"><span>Location:</span></span><span> Pune, Hybrid</span></p>\n<p><span style=\"font-weight: bold\"><span>Employment Type:</span></span><span> Full-Time</span></p>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span>About Aaxis.io</span></span></p>\n<p><span>At Aaxis.io, we design and build world-class digital commerce solutions for global brands. Our teams deliver scalable, secure, and cloud-native systems leveraging cutting-edge technology.</span></p>\n<p><span>We’re looking for a <span style=\"font-weight: bold\">Senior</span> <span style=\"font-weight: bold\">DevOps Engineer</span> to join our growing team in Pune, India. This role focuses on designing, tuning, securing, automating, and observing Google Cloud Platform (GCP) infrastructure and Kubernetes (GKE) clusters, while building highly reliable CI/CD pipelines for microservices-based systems powering complex digital commerce ecosystems.</span></p>\n<p><span style=\"font-size: 18pt\"><span>Key Responsibilities</span></span></p>\n<ul>\n<li><span>Design, deploy, and manage scalable cloud infrastructure on <span style=\"font-weight: bold\">Google Cloud Platform (GCP)</span> to support large-scale digital commerce applications.</span></li>\n<li><span>Set up, configure, and optimize <span style=\"font-weight: bold\">Google Kubernetes Engine (GKE)</span> clusters for high availability, performance, and security.</span></li>\n<li><span>Build and maintain <span style=\"font-weight: bold\">secure, automated CI/CD pipelines</span> using industry best practices to support microservices deployments.</span></li>\n<li><span>Implement infrastructure-as-code (IaC) using tools like <span style=\"font-weight: bold\">Terraform</span>, <span style=\"font-weight: bold\">Pulumi</span>, or <span style=\"font-weight: bold\">Google Cloud Deployment Manager</span>.</span></li>\n<li><span>Define and enforce security controls, policies, and monitoring strategies to ensure a robust production environment.</span></li>\n<li><span>Develop observability frameworks including logging, metrics, tracing, and alerting (e.g., <span style=\"font-weight: bold\">Prometheus, Grafana, Stackdriver, ELK</span>).</span></li>\n<li><span>Continuously optimize cost, performance, and scalability of cloud environments.</span></li>\n<li><span>Collaborate closely with architects, developers, and QA engineers to enable <span style=\"font-weight: bold\">AI-augmented DevOps workflows</span> and faster release cycles.</span></li>\n<li><span>Explore and integrate <span style=\"font-weight: bold\">AI-powered tools</span> for automated infrastructure management, anomaly detection, performance tuning, and CI/CD optimization.</span></li>\n<li><span>Stay current with emerging cloud technologies, container orchestration, and DevOps tooling—with a forward-leaning focus on evolving solution architectures and how AI will automate and streamline DevOps practices—and proactively recommend improvements.</span></li>\n</ul>\n<p><span style=\"font-size: 18pt\"><span>Required Skills &amp; 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