SysTechCorp Inc
Website:
systechus.com
Company:
https://www.linkedin.com/company/systechcorp
Industries: Software Development
Job details:
Company Description SysTechCorp Inc delivers leading-edge technology services that help clients achieve and exceed their strategic business objectives. The company’s practices in AI, machine learning, mobile, cloud, and ERP are supported by extensive experience and deep domain expertise. SysTechCorp partners with organizations across a wide range of industry verticals, addressing complex technical and business challenges. Team members work with modern technologies in environments that value innovation, problem solving, and customer success.
Role Description Who You’ll Work With On our team, we:
- Strong experience deploying and integrating enterprise data platforms at customer sites. Hands-on familiarity with data catalog tooling (Atlan, Collibra, DataHub, Alation, or equivalent) and how they connect to enterprise data estates.
- Understanding of enterprise identity federation: SAML 2.0, OIDC, and common IdPs (Okta, Azure AD, Ping, ADFS).
- Experience with pipeline tooling — dbt, Airflow, Spark, Fivetran, or equivalent — in production customer environments.
- Strong troubleshooting and root cause analysis skills across distributed data systems.
- Excellent communication and stakeholder management skills — comfortable in both CTO-level architectural conversations and hands-on debugging sessions.
- Ability to operate independently in customer environments with ambiguity, competing priorities, and tight deployment timelines.
What Makes You a Qualified Candidate
- Proven experience designing, developing, and deploying autonomous AI agents at scale.
- Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.
- Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
- Ability to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
- Strong technical ability with intelligent automation, generative AI, and agentic system design.
What You’ll Bring
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4–7+ years in solutions engineering, forward deployment, or technical customer success at a data platform, data catalog, or enterprise software company.
- Strong SQL skills and direct hands-on experience with cloud data warehouses: Teradata Vantage, Snowflake, BigQuery, or Databricks.Experience configuring enterprise IdP integrations via SAML 2.0 and OIDC: Okta, Azure AD/Entra ID, Ping Identity, or ADFS.
- Experience with dbt, Airflow, and OpenLineage or equivalent data lineage standards in production pipeline environments.
- Familiarity with metadata management platforms, graph databases, or data catalog tooling is a strong plus. Experience with AI-assisted data tooling, LLM-based products, or agentic workflows is highly valued.
- Strong documentation habits and written communication skills — able to produce precise, customer-facing integration guides, technical runbooks, and deployment playbooks.
- Ability to represent customer needs credibly in engineering conversations — translating field observations into actionable, reproducible bug reports and product requirements.
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