Platform Engineer II
LocationIndia
Typefull-time
SeniorityMid
Experience3–5 yrs
DepartmentR&D
Company size501–1,000 people
PostedAug 25, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science, Engineering, or a related field (equivalent work experience will be considered in lieu of a degree)
3-5 years of experience in software development, platform engineering, Site Reliability Engineering (SRE), or DevOps, with hands-on experience supporting production environments
Strong technical expertise in Kubernetes
Strong technical expertise in cloud platforms (AWS, Azure, or GCP)
Strong technical expertise in Go/Python development
Strong technical expertise in Linux
Strong technical expertise in Infrastructure as Code (Terraform, CloudFormation, Ansible)
Strong technical expertise in CI/CD
Strong technical expertise in container technologies
Strong technical expertise in APIs, microservices, distributed systems, and SaaS production operations
Familiarity with AI-assisted tools such as Microsoft Copilot, GitHub Copilot, Claude, Cursor, or similar tools
Ability to leverage AI tools to improve infrastructure automation, scripting, documentation, test generation, and engineering productivity
Familiarity with LLM APIs and agentic AI workflows
Awareness of responsible AI principles, including security, bias, explainability, and appropriate use of AI-generated outputs
Available for on-call duties
Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage)
Experience with Kubernetes operators, controllers, or orchestration concepts
FedRAMP, SOC2, or compliance framework exposure
Application and Interview Impersonation Notice
Skills
Go
Python
Kubernetes
AWS
Azure
GCP
Linux
Terraform
CloudFormation
Ansible
CI/CD
Datadog
Prometheus
Grafana
Backstage
Docker
Microsoft Copilot
GitHub Copilot
Claude
Cursor
About the company
At Precisely, we’re not just building software — we’re shaping the future of data integrity. As a global leader in data quality, data enrichment, and location intelligence, Precisely helps thousands of the world’s most trusted brands make confident decisions with data they can rely on. We’re an AI-first organization, which means artificial intelligence isn’t a buzzword here — it’s woven into how we build products, how we work, and how we think about solving complex problems for our customers. When you join Precisely, you join a team of curious, driven innovators who believe that better data makes the world run better. If you’re ready to do meaningful work at the intersection of AI and data — and help define what’s possible — we’d love for you to apply!
Overview:
We are looking for a Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.
What you will do:
•
Design, develop, and maintain automation tools and platform capabilities using Go, Python, or similar languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
•
Build and enhance internal tools, integrations, and workflows that improve operational efficiency and developer productivity within the SaaS platform.
•
Develop and support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation, including CI/CD pipeline enhancements.
•
Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
•
Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
•
Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
•
Contribute to build playbook documentation and procedures.
What we are looking for:
•
Bachelor’s degree in Computer Science, Engineering, or a related field (equivalent work experience will be considered in lieu of a degree).
•
3-5 years of experience in software development, platform engineering, Site Reliability Engineering (SRE), or DevOps, with hands-on experience supporting production environments.
•
Strong technical expertise in Kubernetes, cloud platforms (AWS, Azure, or GCP), Go/Python development, Linux, Infrastructure as Code (Terraform, CloudFormation, Ansible), CI/CD, container technologies, APIs, microservices, distributed systems, and SaaS production operations.
AI Skills/Knowledge:
•
Familiarity with AI-assisted tools such as Microsoft Copilot, GitHub Copilot, Claude, Cursor, or similar tools to support troubleshooting, root cause analysis (RCA), coding, code review, and operational problem solving.
•
Ability to leverage AI tools to improve infrastructure automation, scripting, documentation, test generation, and engineering productivity.
•
Familiarity with LLM APIs and agentic AI workflows, with an interest in applying AI capabilities to platform engineering, DevOps, and reliability engineering workflows.
•
Awareness of responsible AI principles, including security, bias, explainability, and appropriate use of AI-generated outputs.
Preferred Skills:
•
Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
•
Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
•
FedRAMP, SOC2, or compliance framework exposure is a plus.
Legal
Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
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