Sobre este puesto de Software Engineer II (Golang) en Precisely International Jobs
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Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview:
We are seeking a Software Engineer II with strong Golang expertise to help design, build, and scale the next generation of Foundation Platform services. You will work on highly available distributed systems used across all DI Suite products while partnering closely with Architecture, Security, AI Platform, and Product Engineering team. The ideal candidate combines strong software engineering fundamentals with platform thinking, operational excellence, technical challenges and a passion for building reusable services at enterprise scale.
What you will do:
- Design & Development shared platform capabilities in Golang services.
- End to end technical ownership of Product features.
- Effort estimation, participation in Agile ceremonies, design/code reviews, etc.
- Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable.
- Participate / own technical designs, constructively suggest, and receive ideas & feedback for solutions.
- Collaborate with other team members, also work with cross-functional teams as required.
- Improve quality of code & work on Non-Functional Requirements such as Performance, Scalability, Reliability, etc.
- Collaborating with team members to address internal and external customer issues promptly and effectively.
What we are looking for:
Required:
- Bachelor's degree (BE/BTech/MCA or equivalent) in Computer Science or a related technical field from a reputable institution.
- Atleast 3 years experience in Golang for backend development is a must.
- Familiarity with frontend scripting languages such as Node.js and React.js is a plus.
- Good understanding of Design Patterns & core concept and hands on experience to apply them in day to day design.
- Understanding and experience with databases like MongoDB, Postgres.
- Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is highly desirable.
- Basic understanding of agile and scrum methodologies is a must.
- Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Codefresh, hands on Terraform is a plus
AI Skills:
- Familiarity with large language models (LLMs) and their integration into production software.
- Experience with AI coding assistants such as Claude Code, GitHub Copilot, or similar tools.
- Ability to evaluate, integrate, and iterate on AI-powered features within a production codebase.
Preferred Skills (a plus but not required):
- Experience with cloud platforms (AWS, GCP, or Azure) including serverless or containerized deployments.
- Familiarity with Docker and Kubernetes for container orchestration.
- Prior experience working in a product-led or SaaS company environment.
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