Senior Software Engineer – Cloud, Open Source, AI & Integration Platforms

Datagrate, Inc.; Petersburg (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

AI-driven learning opportunities

Flexible, engineering-focused culture

Certifications and growth

Job summary

Datagrate, Inc. is seeking an engineer to design and build modern cloud-native integration architectures using open source and cloud platforms.

You will develop scalable APIs, microservices, and event-driven systems with Java, Apache Camel, Kafka, and Kubernetes, and help enterprises modernize legacy middleware into API-first designs. Collaboration with architects and clients is integral to delivering scalable, AI-assisted solutions.

Qualifications

• Passion for software engineering, distributed systems, and modern cloud architectures.
• 2+ years of software engineering experience (Java backend preferred).
• Strong interest in AI-native development, automation, and agent-based systems.
• Experience or curiosity around: Apache Camel, Kubernetes, Docker.
• Event-driven architecture (Kafka, messaging systems) and CI/CD pipelines.
• Familiarity with AWS/Azure and cloud platforms; REST APIs and microservices.
• Familiarity with AI tools such as Claude, ChatGPT, or similar LLM-based development assistants.
• Interest in building AI agents, automation pipelines, or orchestration systems.
• Ability to think in systems: integrations, workflows, and distributed architecture.
• Strong communication skills and consulting mindset.
• Bachelor's degree in CS or equivalent experience preferred but not required

Responsibilities

• Design and build modern cloud-native integration architectures.
• Develop scalable APIs, microservices, and event-driven systems using Java, Camel, Kafka, and Kubernetes.
• Help enterprises modernize legacy middleware into cloud-native, API-first architectures.
• Build and deploy AI-augmented integration systems with LLMs and agent-based workflows.
• Collaborate with architects, engineers, and client stakeholders to design scalable solutions.
• Work across AWS, Azure, Kubernetes, and hybrid cloud environments.
• Evaluate and integrate emerging AI, cloud, and open-source technologies.
• Take ownership of solutions from architecture through deployment and production support.

Skills

Java

REST APIs

Distributed systems

AI-native development

Event-driven

Cloud platforms

GitOps

CI/CD

AWS/Azure

Microservices

Distributed messaging

Education

Bachelor's degree in CS or equivalent

Tools

Kubernetes

Docker

Apache Camel

Kafka

Claude / GPT-style tools

Job description

Datagrate is a modern integration and software engineering consultancy based in St. Petersburg, focused on building next-generation cloud-native integration platforms powered by open source, AI, and automation.

We help enterprises modernize legacy systems and design scalable integration architectures using Kubernetes, GitOps, event-driven systems, and AI-driven engineering workflows. Our clients range from high-growth companies to large enterprises looking to move faster, reduce complexity, and adopt modern cloud platforms.

We are a hands-on engineering team combining deep systems knowledge with cutting-edge AI tools like large language models, autonomous agents, and AI-assisted development workflows (including tools such as Claude, GPT-based systems, and agent frameworks) to accelerate software delivery and improve system intelligence.

We operate like a startup — fast-moving, experimental, and engineering-first — while delivering enterprise-grade solutions.

What You\'ll Do

• Design and build modern cloud-native integration architectures using open source and cloud platforms
• Develop scalable APIs, microservices, and event-driven systems using Java, Apache Camel, Kafka, and Kubernetes
• Help enterprises modernize legacy middleware into cloud-native, API-first architectures
• Build and deploy AI-augmented integration systems using LLMs (Claude, GPT-style models) and agent-based workflows
• Experiment with and implement AI agents for automation, system integration, and workflow orchestration
• Work with GitOps, CI/CD pipelines, Infrastructure as Code, and containerized deployments
• Use AI tools to accelerate development, testing, documentation, and system design
• Collaborate directly with architects, engineers, and client stakeholders to design scalable technical solutions
• Work across AWS, Azure, Kubernetes, and hybrid cloud environments
• Evaluate and integrate emerging technologies in AI, cloud, and open source ecosystems
• Take ownership of solutions from architecture through deployment and production support

What We\'re Looking For

• Passion for software engineering, distributed systems, and modern cloud architectures
• 2+ years of software engineering experience (Java backend preferred)
• Strong interest in AI-native development, automation, and agent-based systems
• Experience or curiosity around:
  • Apache Camel
  • Kubernetes / Docker
  • Event-driven architecture (Kafka, messaging systems)
  • GitOps and CI/CD pipelines
  • AWS / Azure / cloud platforms
  • REST APIs and microservices
• Familiarity with AI tools such as Claude, ChatGPT, or similar LLM-based development assistants
• Interest in building or working with AI agents, automation pipelines, or orchestration systems
• Ability to think in systems: integrations, workflows, and distributed architecture
• Strong communication skills and consulting mindset
• Ability to learn fast and adapt to emerging technologies
• Bachelor\'s degree in Computer Science or equivalent experience (preferred but not required)

What We Offer

• Work on cutting-edge cloud + AI integration projects for enterprise clients
• Hands-on experience with AI-native software engineering (agents, LLM workflows, automation systems)
• Exposure to real-world Kubernetes, GitOps, and distributed systems at scale
• Opportunity to help define how AI is used in enterprise integration platforms
• Startup-style environment with real ownership and impact
• Certifications and continuous learning opportunities
• Flexible, engineering-focused culture with modern tooling
• Competitive compensation and growth potential