Principal Support Engineer – IBM Sterling B2Bi & Data Integration
Preciselyinternationaljobs
·- Location
- India
- Workplace
- Hybrid
- Department
- Customer Service
- Seniority
- Lead
- Education
- Master
Description
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:
The Principal Engineer (B2Bi / Data Integration) is a senior individual contributor and technical leader responsible for driving architectural decisions, platform reliability, and innovation across Precisely's Data Integration Suite (DIS) and IBM Sterling B2B Integrator (B2Bi) ecosystem. This role owns the intersection of cloud-native infrastructure (Kubernetes / OpenShift Container Platform), AI/ML-powered automation, and enterprise integration — providing deep technical leadership that is critical to both day-to-day operations and the long-term product roadmap. The ideal candidate brings rare, senior-level expertise and the ability to operate independently across disciplines.
What you will do:
- Serve as the primary technical owner for IBM Sterling B2Bi, Sterling File Gateway, and the broader Data Integration Suite — driving architecture, platform stability, and roadmap direction.
- Lead the design, deployment, and operational excellence of containerized workloads on Kubernetes (K8S) and OpenShift Container Platform (OCP), including cluster lifecycle management, upgrades, and security hardening.
- Champion and deliver AI/ML-powered initiatives — including intelligent log analysis, anomaly detection, automated remediation, and operational analytics — using modern ML tooling and LLM-based workflows.
- Define and enforce engineering best practices, coding standards, and architectural patterns across the team; provide technical guidance and mentorship to senior and mid-level engineers.
- Collaborate cross-functionally with product, support, and infrastructure teams to resolve high-complexity issues, drive root-cause analysis, and translate findings into durable platform improvements.
- Lead capacity planning, performance tuning, and resiliency engineering for integration platforms across cloud (Azure, GCP, AWS) and hybrid environments.
- Evaluate and introduce emerging technologies; own proof-of-concepts and drive adoption of automation tooling across CI/CD pipelines, infrastructure-as-code, and monitoring stacks.
- Partner with customer-facing teams on critical escalations, providing authoritative technical guidance on B2Bi architecture, integration patterns, and platform best practices.
- Produce high-quality design documents, architectural decision records (ADRs), and technical runbooks for internal and external consumption.
What we are looking for:
- 5+ years of progressive experience in software/platform engineering, with significant tenure in enterprise integration and distributed systems.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (equivalent demonstrated experience accepted).
- Deep, hands-on expertise with IBM Sterling B2B Integrator (B2Bi), Sterling File Gateway, and/or Global Mailbox — including installation, configuration, tuning, and advanced troubleshooting.
- Proven ownership of Kubernetes (K8S) and OpenShift Container Platform (OCP) at scale — cluster administration, Operators, Helm, GitOps, and platform-level observability.
- Practical AI/ML experience: building or operationalizing ML pipelines, leveraging LLM-based tools (e.g., Claude, GitHub Copilot, OpenAI APIs) for engineering productivity, or delivering AI-powered operational capabilities.
- Strong command of UNIX/Linux administration (Red Hat Enterprise Linux, AIX, Solaris) and shell scripting.
- Cloud platform expertise across at least two of: Azure, GCP, or AWS (EC2, S3, EMR, Redshift, or equivalents).
- Database proficiency: Oracle, SQL Server, DB2, Snowflake — including schema design, query tuning, and operational support.
- Solid grounding in networking and integration protocols: TCP/IP, HTTP/S, SFTP, AS2, SMTP, and EDI standards.
- Excellent written and verbal communication skills; able to convey complex technical topics clearly to both engineering and business audiences.
- Demonstrated ability to work autonomously, prioritize competing demands, and deliver in a fast-paced, distributed team environment.
- Prior experience serving as a senior technical escalation point or on-call incident commander.
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AI Skills / Knowledge
- Demonstrated ability to leverage AI-powered developer tools (e.g., Claude, GitHub Copilot, ChatGPT) to accelerate engineering, troubleshooting, and documentation workflows.
- Experience applying AI/ML techniques to log analysis, anomaly detection, and intelligent alerting in production environments.
- Comfort designing or evaluating AI-augmented workflows as a first-class part of platform operations and engineering processes.
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