Padmi

Site Reliability Engineer/ Platform Engineer-25 to 28 LPA -CONTRACT-Strong

IndiaPosted 2 months ago
Software engineeringMid-levelFull Time; Regular
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What Youll Do Serve as an experienced professional resource, independently applying best practices and business knowledge to enhance products or services.Design and deploy small to mid-sized or moderately complex solutions to optimize reliability, availability, latency, and performance.Be responsible for scoping, designing, and building high-impact technology projects.Critically evaluate and integrate AI methodologies into work processes to enhance problem solving and decision making. Build tools and workflows that can operate at scale within a global team.Adaptable & Problem-Solver: Tackle varied and challenging problems daily, demonstrating flexibility, a data-driven focus on quality, and an ability to learn new skills quickly.Ownership & Quality: Take responsibility for leading tasks, from building new functionality to investigating issues, all with a high level of attention to detail.Minimum Qualifications Bachelors degree in Computer Science or a related field.Familiarity with cloud platforms such as AWS, Azure, or GCP.Coding Aptitude: Extensive programming experience with a willingness to learn new technologies quickly.Problem Solver: Ability to apply and lead a scientific approach and creative skills to solve complex problems.Excellent communication skills and experience working in cross-functional global teams. Required Qualifications Scripting Mastery: 3+ years of professional experience writing clean, production-grade scripts in Python, Go, or Ruby, along with advanced Bash skills.API Expertise: Deep technical understanding of RESTful APIs, JSON payloads, authentication mechanisms (OAuth, API keys), and handling rate limits.Incident Management Background: Strong familiarity with PagerDuty architectures, including technical service mapping, routing keys, escalation policies, and event pipelines.DevOps Ecosystem Knowledge: Hands-on experience integrating major observability platforms like Datadog, Dynatrace, Splunk, AWS CloudWatch, or Prometheus What Youll Do Serve as an experienced professional resource, independently applying best practices and business knowledge to enhance products or services.Design and deploy small to mid-sized or moderately complex solutions to optimize reliability, availability, latency, and performance.Be responsible for scoping, designing, and building high-impact technology projects.Critically evaluate and integrate AI methodologies into work processes to enhance problem solving and decision making. Build tools and workflows that can operate at scale within a global team.Adaptable & Problem-Solver: Tackle varied and challenging problems daily, demonstrating flexibility, a data-driven focus on quality, and an ability to learn new skills quickly.Ownership & Quality: Take responsibility for leading tasks, from building new functionality to investigating issues, all with a high level of attention to detail.Minimum Qualifications Bachelors degree in Computer Science or a related field.Familiarity with cloud platforms such as AWS, Azure, or GCP.Coding Aptitude: Extensive programming experience with a willingness to learn new technologies quickly.Problem Solver: Ability to apply and lead a scientific approach and creative skills to solve complex problems.Excellent communication skills and experience working in cross-functional global teams. Required Qualifications Scripting Mastery: 3+ years of professional experience writing clean, production-grade scripts in Python, Go, or Ruby, along with advanced Bash skills.API Expertise: Deep technical understanding of RESTful APIs, JSON payloads, authentication mechanisms (OAuth, API keys), and handling rate limits.Incident Management Background: Strong familiarity with PagerDuty architectures, including technical service mapping, routing keys, escalation policies, and event pipelines.DevOps Ecosystem Knowledge: Hands-on experience integrating major observability platforms like Datadog, Dynatrace, Splunk, AWS CloudWatch, or Prometheus

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