Lead I - DevOps Engineering

Responsibilities The successful candidate will: The successful candidate will be involved in application support, implementing SRE best practices, handling incidents, escalations and problem management for NFRT Production plants. This includes application server administration, technical troubleshooting of infrastructure and user incidents Incorporate System Reliability Engineering implementation into the day-to-day role by developing automated solutions to long standing problems to ensuring minimal downtime and manual effort Strong infrastructure knowledge in Linux / Unix, Windows, Databases, Storage and Networking technologies. Experience with web architecture including performance, availability, scalability, and disaster recovery planning. Experience with monitoring and ing tools, configuring application monitors using industry standard monitoring tools, as well as developing customized monitoring solutions Revisit SRE Metrics and confirm against the firm and department goals Implement tooling / create automations to help with Toil Elimination (manual or repetitive work) Identify areas for improvements including automation, toil reduction, resiliency and observability across the platform and help build up the knowledge and documentation for the team Partner with other teams in MIS, networking, security, storage, and database and data center to roll out application platforms successfully as per the design. Produce reusable infrastructure designs patterns for future reference and periodically review / refresh the patterns. Support vendor / vendor technology onboarding following the best practices and security blueprint. Apply technical skills to automate daily support functions, improve system stability, support hygiene initiatives and deliver innovation that creates efficiency and consistency. The role requires availability for weekend and on-call work on a rotation basis. Required Skills Hands-on experience of Linux 8.x operating system for 5 years at an advanced level. Experience with Service Oriented Architecture, Distributed Systems, Scripting such as Python and shell, Relational database (E.g., Sybase, DB2, SQL, Postgres) Hands-on experience of web servers (Apache / Nginx), Application Servers (Tomcat / JBoss) to include application integration, configuration, and troubleshooting. Hands-on experience Docker containers, Kubernetes and SaaS platform integration Exposure and experience messaging technology like Kafka Clear concept of load balancer, web proxies and storage platforms like NAS / SAN from an implementation perspective only. Familiar with basic security policies for secure hosting solutions, Kerberos and standard encryption methodologies including SSL and TLS. Prior experience managing large web-based n-tier applications in secure environments on cloud Strong knowledge SRE Principles with grasp over tools / approach to apply them Strong infrastructure knowledge in Linux / Unix admin, Storage, Networking and Web Technologies Experience in troubleshooting Application Issues and Managing Incidents Exposure to tools like Open Telemetry, Prometheus, Grafana, Splunk, Ansible Excellent verbal and written communication skills. Desired / Nice to have skills Exposure to Big Data platforms like Hadoop / Cloudera and ELK Stack Working knowledge of workflow orchestration tool like Airflow Familiarity with caching DB like Redis, NoSQL database and SPARQL Capacity planning and performance tuning exercise Identity management protocols like OIDC / OAuth, SAML, LDAP integration Cloud Application and respective infrastructure Knowledge is a plus. Working knowledge of GenAI, LLM models Experience in Cloud / Distributed computing technology or certification is a plus Experience 5 to 10 years in a similar role of hands-on application / middleware specialist. Prior experience of working in a global financial organization is an advantage