Grid Dynamics
Forward Deployed Engineer

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Forward Deployed Engineer
We’re seeking experienced, hands-on Forward Deployed Engineers to act as evangelists for Continuous Delivery, automated testing, and safe, automated deployments. This is a practical role blending Software Engineering, DevOps and SRE, for practitioners who lead by example to make change safe and easy for development teams. The position is hands-on, roughly 70% coding and configuration.
Responsibilities
- Conduct targeted engagements with development teams facing challenges getting to safe and rapid release cadence, or struggling with vulnerability resolution.
- Perform hands-on work including, but not limited to:
- Building suites of well-designed tests, most of which can run locally, including smoke tests to be run as part of the deployment process.
- Sourcing and integrating appropriate test data, implementing data masking in lower environments
- Upgrading to supported runtimes (generally Java or NPM).
- Containerizing applications where feasible.
- Implementing continuous delivery pipelines.
- Upgrading open-source libraries to their latest available major versions (e.g., migrating from Spring 2). Upgrading to the latest version of all dependencies, whether installed software, libraries, internal code, base images or operating system. Implementing processes that allow us seamlessly to stay current
- Implementing continuous library updates using Renovate.
- Introducing best practice source control and branch management
- Improving code review processes
- Ensuring best practice security patterns, secrets management, authentication and authorisation
- Simplifying and automating application deployment processes, including automated database changes with Liquibase and installed software with Ansible.
- Introducing standard observability patterns.
- Overhauling exception handling and logging.
- Implementing resilient cross-datacenter deployment strategies.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Several years of experience with Test-Driven Development (TDD) using multiple test frameworks.
- Excellent understanding of the different approaches to automated testing and an ability to choose the best approach and drive outcomes (with AI support).
- Proficiency in JVM languages and/or TypeScript.
- Ability to write high quality code with good taste.
- Understanding of safe practices for critical systems, including deployment architecture and observability
- At home with multiple continuous integration and deployment systems
- Excellent understanding of secure coding practices
- Competent with Docker, and Openshift/Kubernetes/or similar
- Actively embracing AI coding
- Comfortable with build tools such as Gradle, Maven, and npm.
- Competent with (RedHat ) Linux


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We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule (Hybrid)
- Benefits package - medical insurance, pension
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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