Lead II - Software Engineering

Mandatory Skills: AWS, Microsoft Azure, Iac, Sre, Site Reliability Engineering, Cloud Operations, software development, Golang, Ruby, Ruby Rails, automation, Cloud Infrastructure Skill to Evaluate: AWS, Microsoft Azure, Iac, Orchestration, Sre, Site Reliability Engineering, Cloud Operations, software development, Golang, Ruby, Ruby Rails, automation, Cloud Infrastructure, docker, kubernetes, Ansible, maven, C++, Java, python, dynatrace, ELK, Groovy, Codepipeline, codebuild, codedeploy, gdpr, hipa, iso27001 Experience: 8 to 10 Years Location: Bengaluru

 Job Description: Site Reliability Engineering (SRE) is an engineering discipline that combines Software, Systems engineering and Platform engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that services (both internally critical and externally visible systems) have reliability and uptime appropriate to users needs and a fast rate of improvement while keeping an ever- watchful eye on capacity and performance. SRE is also a mindset and a set of engineering approaches to running better production systems we build our own creative engineering solutions to operations problems.

Much of our software development focuses on optimising existing systems, building infrastructure and eliminating work through automation. Practices such as blameless post-mortems and proactive identification of potential outages that is key to both product quality and interesting and dynamic day-to-day work. The ability to communicate well is crucial, and you manage multiple initiatives with multiple engineers potentially across multiple time zones to achieve SLAs/SLIs/SLOs reliability and efficiency goals Education Qualificaiton: Bachelor s degree in computer science, Information Technology, or a related field (master s degree preferred) Job Title: SRE Consultant Roles & Responsibilities: Design and Architect SRE element into all the existing and new apps and services along with defining several controls/processes that ensures SLAs/KPIs are met. Define to SLA/KPI metrics at a technical level and ensure 100% adherence. Proactively maintain services once they are live by measuring and monitoring availability, latency and overall system health. Respond quickly to issues and mobilise responsible individuals quickly to achieve the fasted possible resolution. Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews Scale system and service sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and speed of service resolution. Continually analyse service to end customers with a view to enhancing customer experience, eradicating issues, fixing root causes and driving quality into everything we do. Educating support operations and customer help desks to adapt to new ways of working by increasing skills and knowledge. Perform RCAs, publish reports and take it to the next level by inventing short/long term fixes and further Runbooks. Be part of the Agile Mode of delivering Work Products by performing Backlog planning, Sprint Planning, Design Reviews, Peer Reviews and Retrospectives.

Requirements Experience in one or more of the following: C, C++, Java, Python, Go, Ruby or shell scripting Experience with Windows and Unix/Linux operating systems internals and administration (e. g. filesystems, system calls) or networking (e. g. TCP/IP, routing, network topologies and hardware) Experience with containers and containers orchestration (e. g. Kubernetes, Docker) Extensive knowledge of AWS Hands-on experience with IAC tools such as Cloudformation and Terraform Experience with Configuration Management tools such as Ansible, Chef.

Experience with cloud hosted application-monitoring tools such as Kibana, ELK stack etc Experience with Observability tools such as Dynatrace or Datadog Excellent communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences, both technical and non-technical Comfortable working in a fast-paced, multi-tasking, dynamic environment

Experience with deployment automation, working with platforms for configuration management, provisioning and artifact repositories. Preferred to have expertise with Make, Maven, Groovy, Gitlab, Gitlab pipelines, ArgoCD, AWS Codebuild / Codepipeline / CodeDeploy Experience in improving internal processes and good understanding of security engineering Capable of grasping, modifying and maintaining systems and code developed by others. Ability to debug and optimise code and automate routine tasks Systematic problem-solving approach, coupled with a strong sense of ownership, drive and determination. Ability to think outside the box and find innovative solutions to complex problems