Gurugram, Haryana
Job Summary
To put it into high level summary, we need someone who have AWS infrastructure setup experience/APIGEE gateway experience(40%), Experience with Kubernetes/Docker/helm/Openshift(40%), Java/Maven/Springboot(20%). Removed references of RHEL. Below is detailed JD. Job Profile: Platform / Software Engineer * We are looking for a technically strong engineer with hands-on experience in CI/CD, Kubernetes/OCP, and AWS cloud infrastructure. * The role supports the design, build, deployment, and operational stability of a busy API gateway platform(Example-APIGEE) and its supporting ecosystem in a highly regulated environment. * The engineer will work across AWS cloud infra, GitLab CI, Kubernetes/OpenShift, deployment automation, and API traffic analysis. Strong troubleshooting skills are essential, particularly across complex distributed systems and multi-team API journeys. Required Technical Skills * Hands-on experience maintaining and setup of API gateways on AWS cloud infrastructure, Preferred APIGEE experience * Understanding of build, test, deploy, promotion, rollback, and release automation patterns. * Practical experience with Kubernetes, ideally OpenShift(OCP). * Ability to build, inspect, troubleshoot, and optimise container images. * Understanding of registries, image tagging, runtime behaviour, and container logs. * Experience with Helm charts, Ansible playbooks, or similar deployment automation. * Working knowledge of Infrastructure as Code / Configuration as Code principles. * Ability to manage deployment configuration through source control. * Strong ability to trace API traffic across multiple components. * Experience troubleshooting across API gateways, ingress/routes, middleware, authentication, backend services, downstream systems, and network components. * Good understanding of HTTP, REST, headers, status codes, request/response flows, latency, timeouts, and error patterns. * Deep troubleshooting capability across pipeline, platform, application, Linux, network, and API layers. * Experience using logs, metrics, events, traces, and deployment evidence to support investigations. * Familiarity with tools such as **Splunk, Grafana, Prometheus, OpenTelemetry, or similar. * Experience working in a highly regulated environment. * Understanding of change control, release governance, audit evidence, production controls, and operational resilience. * Ability to produce clear documentation, runbooks, investigation notes, and deployment evidence. * Familiarity with Java, Maven, and Artifactory. Desirable Technical Skills(Preferred but not mandatory) * Experience with API gateway / API management platforms. * Understanding of routing, policies, authentication, throttling, certificates, maTLS, and traffic inspection. * Experience troubleshooting TLS, maTLS, certificates, trust stores, keystores, and certificate chains. * Awareness of secrets management and secure configuration handling. * Working knowledge of DNS, proxies, firewalls, load balancers, ingress controllers, routing, ports, and connectivity testing. * Experience supporting multiple environments, including dev, test, staging, pre-production, and production. * Understanding of deployment promotion, rollback, release evidence, and enviro
Key Responsibilities
- We are looking for a technically strong engineer with hands-on experience in CI/CD, Kubernetes/OCP, and AWS cloud infrastructure.
- The role supports the design, build, deployment, and operational stability of a busy API gateway platform(Example-APIGEE) and its supporting ecosystem in a highly regulated environment.
- The engineer will work across AWS cloud infra, GitLab CI, Kubernetes/OpenShift, deployment automation, and API traffic analysis. Strong troubleshooting skills are essential, particularly across complex distributed systems and multi-team API journeys.
Skill Requirements
Required Technical Skills
- Hands-on experience maintaining and setup of API gateways on AWS cloud infrastructure, Preferred APIGEE experience
- Understanding of build, test, deploy, promotion, rollback, and release automation patterns.
- Practical experience with Kubernetes, ideally OpenShift(OCP).
- Ability to build, inspect, troubleshoot, and optimise container images.
- Understanding of registries, image tagging, runtime behaviour, and container logs.
- Experience with Helm charts, Ansible playbooks, or similar deployment automation.
- Working knowledge of Infrastructure as Code / Configuration as Code principles.
- Ability to manage deployment configuration through source control.
- Strong ability to trace API traffic across multiple components.
- Experience troubleshooting across API gateways, ingress/routes, middleware, authentication, backend services, downstream systems, and network components.
- Good understanding of HTTP, REST, headers, status codes, request/response flows, latency, timeouts, and error patterns.
- Deep troubleshooting capability across pipeline, platform, application, Linux, network, and API layers.
- Experience using logs, metrics, events, traces, and deployment evidence to support investigations.
- Familiarity with tools such as **Splunk, Grafana, Prometheus, OpenTelemetry, or similar.
- Experience working in a highly regulated environment.
- Understanding of change control, release governance, audit evidence, production controls, and operational resilience.
- Ability to produce clear documentation, runbooks, investigation notes, and deployment evidence.
- Familiarity with Java, Maven, and Artifactory.
Other Requirements
Desirable Technical Skills(Preferred but not mandatory)
- Experience with API gateway / API management platforms.
- Understanding of routing, policies, authentication, throttling, certificates, maTLS, and traffic inspection.
- Experience troubleshooting TLS, maTLS, certificates, trust stores, keystores, and certificate chains.
- Awareness of secrets management and secure configuration handling.
- Working knowledge of DNS, proxies, firewalls, load balancers, ingress controllers, routing, ports, and connectivity testing.
- Experience supporting multiple environments, including dev, test, staging, pre-production, and production.
- Understanding of deployment promotion, rollback, release evidence, and environment drift.
- Experience with Ansible, Terraform, or similar automation tooling.
- Familiarity with DevSecOps practices such as image scanning, dependency scanning, secret detection, SAST/DAST, and policy-controlled pipelines.
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