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

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 environment.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, or a related technical field that involves programming.
• Experience in some of the following is desired: SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions.
• Experience with Chaos Engineering principles and fault-injection testing to verify system resilience.
• Familiarity with cloud-native architecture and managed services (AWS, Azure, or GCP).
• Understanding of Error Budgeting and its application in balancing feature velocity with system stability.
• Hands-on experience with Infrastructure as Code (IaC) frameworks such as Terraform, Ansible, or CloudFormation.
• Interpersonal Skills:
• Passionate about solving operational problems and constant improvement via automation.
• Highly motivated, pro-active and capable of working under pressure without compromising development processes.
• Strong, committed and reliable team player and strong communicator, able to take direction but also willing to contribute to discussions on design and strategy.
• Possess client-facing skills to be able to deal with and form good relationships with the business and other technology groups through day-to-day support and project work.
• Ability to multi-task and be effective working in a fast-paced environment.
• Interest in financial markets, technology and the ability to learn.

ABOUT GOLDMAN SACHS

Qualifications

• 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 environment.