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Description The project is building the reliability and AI operations foundation for its next chapter—an AI-first intelligence platform that runs the most demanding semiconductor intelligence workflows in the world. The SRE team operates as a technical leader within our engineering organization, responsible for defining reliability patterns for AI agent pipelines, architecting observability, and building an Internal Developer Platform (IDP). We provide a fast-scaling environment where reliability is prioritized from day one, offering the opportunity to apply deep SRE expertise to cutting-edge AI workloads and agentic systems. Requirements Technical Skills: Experience: 6–8 years in SRE, Platform Engineering, or DevOps in senior or technical leadership roles. Cloud & Infrastructure: Deep expertise in AWS (EKS, Lambda, CloudWatch) and multi-region architecture. Infrastructure as Code: Proficiency in Terraform and GitOps practices. Observability: Advanced operational proficiency with Datadog (dashboards, tracing, and SLO management). Containerization: Solid experience with Docker and Kubernetes. CI/CD & IDP: Experience with CI/CD tools (Bitbucket Pipelines or GitHub Actions) and internal developer platforms like Backstage or Compass. Automation: Demonstrated proficiency in Python and/or Bash scripting. Professional Skills: Leadership: Ability to independently lead strategic reliability initiatives. Problem Solving: A “first principles” approach to resolving complex technical issues. Mentorship: A strong commitment to mentoring junior and intermediate engineers. Communication: Excellent verbal and written communication skills to engage stakeholders across engineering, product, and leadership teams. Job responsibilities AI Reliability & Operations: Manage SLOs, SLIs, and error budgets. Design and implement patterns for LLM observability and recovery to ensure the reliability of AI-agent pipelines. Engineering Enablement: Act as the primary SRE liaison for software and AI teams. Optimize CI/CD pipelines and drive the adoption of “golden path” templates and SRE best practices across the organization. Observability & Service Catalog: Maintain Datadog for telemetry and performance tracing of pipeline services. Manage and evolve the internal service catalog to provide clear visibility into architecture. FinOps & Infrastructure Management: Oversee infrastructure-as-code deployments (Terraform/GitOps) while actively managing and optimizing cloud infrastructure costs in AWS. Strategic Growth: Lead cross-team reliability initiatives, mentor team members, and ensure the engineering culture prioritizes platform robustness and technical excellence. What we offer Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies. Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions. Professional Development: Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
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.