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Our company: At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You Will Do: As a Senior Staff Engineer, you will Own the design and delivery of one or more of our core Agent Services — Agent Memory, LLM Cache, Semantic Context Layer — from technical design to production launch. You will write the spec, build against it, and hold the system accountable to it in production. Full technical ownership of an Agent Service: design the data model, define the API surface, implement the core logic, and own it end-to-end through production. Lead the most critical, cross-functional technical efforts your component touches — breaking down ambiguous problems and building consensus without waiting for someone else to resolve the ambiguity. Function as both a problem solver and a problem finder: identify gaps in the design or the roadmap before they become production incidents. Balance long-term system health with the immediate need to ship — making and documenting the local trade-off decisions within the architectural direction the team has set. Ensure your components are production-ready: define SLOs, instrument critical paths, write runbooks, and meet customer commitments on durability, availability, and performance. Set the technical bar in code review, design review, and on-call. Be the engineer the team looks to when a problem is hard or a decision will be difficult to undo. Mentor engineers on Postgres internals, distributed systems design, and the agentic workload patterns that make this problem different from conventional OLTP. Who you will work with: Engineers, Product Managers, and other team members who are building data infrastructure for the agentic enterprise. We are looking for AI-native engineers who are energized by the opportunity to build technology that doesn’t exist yet — people who treat AI as a high-trust collaborator in their own work and move with an experimental mindset. Low ego, high craft, bias for shipping. The Agentic Databases team is building a cloud-native, enterprise-grade operational database purpose-built for AI agents. We are building something more ambitious: an agentic data layer that connects enterprise-governed data, OLTP reliability, and agentic capabilities in a single platform no competitor can replicate. What you will bring : 10+ years building and operating large-scale distributed systems, databases, or cloud data infrastructure in production. Solid, working knowledge of Postgres: query planning and execution, MVCC, WAL, vacuuming, replication, and the extension model. You have run Postgres under real load and know where it breaks. Strong systems programming experience in C or C++; proficiency in at least one higher-level language — Go, Ruby, or Python — for control plane and tooling work. Ruby experience is a strong plus. Experience building high-availability, multi-tenant, or highly distributed data systems in cloud environments. Comfort navigating large, complex codebases and leading cross-team architecture efforts. An AI-native working style: you use AI actively in your own engineering work, prototype faster because of it, and think naturally about how the systems you build will be used by agents rather than humans. A track record of driving projects from concept to production with measurable impact. Excellent communication skills and the ability to influence across engineering and product without relying on authority. BS/MS in Computer Science or a related field, or equivalent depth demonstrated through production work. Why we think you will love Teradata: We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
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.