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Who We Are At Goldman Sachs, our Engineers dont just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Want to push the limit of digital possibilities Start here. In Private Wealth Management, we help our clients pursue their wealth management goals through careful advice & astute investment management. PWM Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our clients diverse requirements. We support the entire user experience starting with onboarding through to trading, reporting, as well as providing clients access to their portfolios online via native iOS and Android apps. We also build and support numerous applications for our Business and Operations users to help them effectively manage risk and provide the best white-glove service possible to our clients. The Data Distribution team supports PWM's Quantum data distribution platform which is considered the primary source of data relating to Client Holdings, Transactions, Taxlots and reference data like Accounts, Products and Prices in PWM. Several teams/projects requires this data and our team has built several distribution channels for different usage patterns. We are currently enhancing our platform based on new business requirements as well as increasing stability and scalability needs to support a growing business. The platform will be required to manage very high volumes of requests with varying time sensitivities and prioritizing across multiple tenants via an event based framework. Your Impact We are looking for a motivated Junior Cloud SRE Analyst with 12 years of experience to join our Data Engineering team. In this role, you will help bridge the gap between software development and systems operations by applying engineering mindsets to operational challenges. You will focus on improving the reliability, scalability, and performance of our cloud-native applications while learning to manage complex distributed systems at scale. As a junior member of the team, you will work under the guidance of senior leads to monitor system health, automate repetitive tasks (toil), and support incident response efforts. This is an ideal role for an early-career skilled looking to deepen their expertise in AWS/Azure/GCP, Kubernetes, and Infrastructure as Code (IaC). Key Responsibilities Observability & Monitoring: Assist in maintaining and enhancing our monitoring stack (e.g., Prometheus, Grafana, Datadog). You will help build dashboards and configure alerts to ensure high visibility into system performance and Service Level Indicators (SLIs). Incident Support: Participate in the incident management lifecycle. You will assist senior engineers in troubleshooting production issues, performing initial triage, and documenting findings in post-mortem reports to prevent recurrence. Toil Reduction & Automation: Identify repetitive manual tasks and develop small-scale automation scripts (using Python, Go, or Bash) to improve operational efficiency and reduce "toil." Infrastructure as Code (IaC): Support the deployment and management of cloud infrastructure using tools like Terraform or Ansible. You will assist in making configuration changes and ensuring environment consistency. CI/CD Pipeline Support: Work with development teams to support and troubleshoot automated deployment pipelines (GitHub Actions, GitLab CI, or Jenkins), ensuring safe and reliable code releases. Documentation: Create and maintain technical documentation, including "runbooks" and "playbooks," to standardize response procedures for common system alerts. Capacity Awareness: Assist in tracking resource utilization and cloud spend, helping the team perform basic capacity planning to support application growth. Basic Qualifications Bachelors or higher in Computer Science (or equivalent work experience) Experience: 12 years of experience in a technical role such as Cloud Support, Systems Administration, or Junior DevOps/Software Engineering. Cloud Foundations: Basic hands-on experience with at least one major cloud provider . .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.