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Senior Engineer
2 months ago
Responsibilities :
- Overall Technical experience should be 8+ years
- Partner with the observability engineers to build out platform observability
- Incorporating SRE principles and practices to infuse reliability and observability frameworks with the goal of building resilient platforms.
- Streamlining active service management processes and practices related to change management, continuous deployments, incident management, blameless post-mortems, and problem management.
- Developing operational playbooks and frameworks to maintain standardized operating procedures, high availability of data platform services, reduction of failures, and elimination of toil.
- Partner with Business Applications/delivery teams to orchestrate and automate web application deployments
- Provide assistance to Build automation and process to enable self-serve production deployments
- Provide assistance to Code, configure, integrate, manage, and enhance various automation tools.
- Standardizing and rationalizing adopted tools and techniques for observability (SLI/SLO blueprints, instrumentation and collection of systems health, monitoring, alerting frameworks, and dashboarding).
- Partner with the observability engineers to build out platform observability End to End. Like leveraging Open Telemetry
- Establishing a readily available knowledge base, issue trend analysis, runbook / toil automation backlog, and transformational roadmap and approach.
- Providing data driven insights into systems health with self-healing capabilities, as well as real-time visibility of critical workloads via business dashboards.
- Lead Training/Capability development initiates around Site Reliability Engineering within the Organization
- Engineers worked on SRE Framework building, SRE transformation of traditional IT Support, adoption of MLOPS/AIOPS are the most preferred
Qualifications :
- A mix between Software Development and System Administration experience.
- Proficiency in Java (Python)
- Should have development (Java) background with strong code handling capabilities or at supporting experience (L3) of applications and scaled infrastructure with any cloud technology.
- Experience in working with Oracle Databases/PostgreSQL, DB Query optimization, performance tuning.
- Strong understanding of Microservices.
- Should have experience on JMS/Messaging and middleware like IBM MQ/Apache Kafka;
- AIX System Admin experience, scheduling, monitoring, and reporting functionalities for AutoSys jobs scheduling
- Experience working with Source Control Management Systems (GitLab, GitHub)
- Experience working with build, test, and deployment tools (Maven, Gradle, Jenkins)
- Hands on Experience with Observability Configuration: Open Telemetry AppDynamics/Prometheus/Data Dog/New Relic/Dynatrace, Splunk/Kibana, Grafana, Alert Manager.
- Should be able to build & configure customized metric-exporters/dashboards.
- Hands on experience with Docker and Kubernetes and their corresponding provider management services (Azure/ GCP/ AWS, Google Container Engine, Azure Container Service, AKS, GKE).
- Hands on Experience with infrastructure as code tools (e.g., Cloud Formation, Puppet, Chef, Ansible, Terraform)
- Hands on Experience on Toil automation or SRE implementation in large Banks, Financial Orgs with legacy infrastructure is an advantage.
- A strong ability to design and execute cutting edge System Testing strategies (smoke tests, performance/load tests, regression tests, capacity tests).
- Hands on experience in administering high availability and high-performance environments, as well as managing large-scale deployments of traffic-heavy applications.
- Excellent understanding of Scalability processes and techniques.
- Proven ability to work remotely with teams of various sizes in same/different time zones, from anywhere and remain highly motivated, productive, and organized.