The Core Engineering-L2-Bengaluru-Associate-Software Engineering

SRE at Goldman Sachs combines software and systems engineering to build run, and maintain high performant, distributed, fault tolerant systems. As a SRE Engineer you will be filling a mission-critical role ensuring that our systems are healthy, monitored, automated, and designed to scale. You will collaborate with engineering teams to continually improve our production services, facilitating fast delivery of new services, and reducing downtime. SRE utilizes automation, tools and solid engineering principles to optimize existing systems, build infrastructure and eliminate operational work. We are looking for passionate, curious, driven engineers who thrive on solving operational problems and improving efficiency and would like to apply their skills to Compliance Engineering SRE.
Job Responsibilities:
Proactive management of our production services by measuring and monitoring availability, capacity and overall system health.
Shaping software before go-live through activities such as system design consulting, capacity planning and launch reviews.
Scaling and evolving systems by pushing for changes that improve capacity and reliability.
Practicing sustainable incident management in a blameless postmortem culture.
Identifying and building improvements to system behavior, control and monitoring tools.
Defining and maintaining Service Level Indicators (SLIs) and Service Level Objectives (SLOs) to quantify and manage service reliability.
Engineering solutions to reduce "toil" through advanced automation and self-healing system capabilities.
Conducting capacity modeling and performance tuning to ensure systems meet future demand.
WHAT WE ARE LOOKING FOR:
Technical Skills:
Experience in one or more of the following: Java, Python and Perl.
Strong communication skills and the ability to clearly express ideas and arguments.
Solid analytical and problem-solving skills with appreciation of technical risk.
Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design.
Systematic problem-solving approach and a sense of ownership and drive.
Ability to debug and optimize code and to automate routine tasks.
Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry).
Deep understanding of containerization and orchestration technologies, specifically Docker and Kubernetes (K8s).
Knowledge of networking protocols and load balancing strategies in a distributed systems envir