Jobs at AlgoLeap Technologies Private Limited

Monitor Linux and Windows servers, alerts, and monitoring dashboards using SolarWinds, KIWI, and Nagios. Coordinate escalations with L2 and L3 support teams, communicate critical alerts, review thresholds with infrastructure and application owners, prepare capacity and status reports, and ensure critical infrastructure coverage and server availability.

Leads solution architecture, governance, and implementation for enterprise Linux and virtualized infrastructure. Designs and operates KVM, VMware, and HPE VM Essentials/Morpheus environments; performs advanced Linux administration, troubleshooting, performance tuning, storage and network integration, clustering, automation, validation, and root cause analysis. Collaborates with operations, compliance, business, and technical stakeholders to deliver secure, reliable solutions in regulated enterprise environments.

Leads end-to-end architecture, design, governance, and implementation of enterprise ServiceNow solutions. Translates business requirements into scalable platform, integration, data, workflow, security, and CMDB/CSDM architectures. Oversees ITSM, ITOM, integrations, custom applications, upgrades, migrations, and modernization initiatives while ensuring performance, security, and upgradeability. Provides technical direction, reviews designs and code, manages risks, supports proposals and POCs, and mentors ServiceNow development and administration teams.

Provides technical leadership for quality engineering across enterprise applications. Owns risk-based test strategy, release readiness, and end-to-end quality coverage. Designs and maintains Playwright and TestCraft automation, performs API, database, exploratory, regression, and integration testing, and uses SQL and logs for validation and root-cause analysis. Partners with cross-functional teams, mentors engineers, improves test frameworks and reliability, manages risks, and influences quality practices across multiple teams.

Leads end-to-end delivery governance for complex AI, automation, and digital transformation programs. Oversees technical architecture, integrations, data strategies, engineering standards, CI/CD, model deployment, infrastructure readiness, risks, dependencies, reporting, vendors, and procurement. Partners with engineering, data science, ML, platform, business, and executive stakeholders to deliver scalable, secure solutions on time and within budget.

Builds Go plugins and small backend services that enforce policies inside a gateway, including model registries, data classification, integration adapters, and kill switches. Establishes CI, contract testing, and versioning for vendor plugin APIs, and creates typed error taxonomies for calling applications. Requires substantial backend and Go experience, expertise in middleware, reverse proxies, gRPC, concurrency, performance-sensitive systems, and strong automated testing practices. WASM and OpenAI-compatible LLM API experience are preferred.

Own the platform engineering for an enterprise AI gateway across development, testing, and production. Responsibilities include deploying and operating Kubernetes environments, managing CI/CD and infrastructure configuration as code, configuring routing and access controls, supporting testing and go-live, and troubleshooting production systems. The role also involves collaboration with architects and security engineers, with preferred experience in AI or API gateways, monitoring, logging, databases, secrets management, and regulated financial environments.

Ensure enterprise data quality, accuracy, integrity, and reliability across source systems, data warehouses, Medallion Architecture layers, Snowflake, and Power BI. Perform source-to-target validation, ETL/ELT testing, reconciliation, profiling, governance validation, lineage checks, and report testing. Develop automated data-quality frameworks and reusable test suites using SQL, Python, PySpark, and Soda, integrating them into Azure DevOps or GitHub Actions CI/CD pipelines.

Defines enterprise data architecture and leads hands-on development of scalable, secure data platforms. Designs warehouses, lakes, lakehouses, data models, integration pipelines, APIs, governance, quality controls, cloud solutions, and AI-ready data foundations. Supports modernization, CI/CD, observability, performance optimization, analytics, RAG, vector search, and MLOps. Partners across engineering, product, analytics, security, and operations while mentoring engineers and guiding technical decisions.

Administers Oracle JD Edwards EnterpriseOne infrastructure across development, testing, and production environments. Responsibilities include configuring servers and CNC components, managing upgrades, deployments, security, integrations, performance, databases, disaster recovery, system migrations, documentation, production support, and incident management. The role collaborates with functional, development, business, and infrastructure teams while maintaining compliance with security, audit, and change-management policies.

Leads end-to-end Snowflake data platform architecture for commercial real estate, including data modeling, ELT pipelines, governance, security, integrations, performance, FinOps, DevOps, and AI enablement. Defines scalable architecture standards, semantic models, access controls, CI/CD, monitoring, and reliability practices while mentoring engineers and translating business needs into platform capabilities.

Leads Snowflake data governance and security for an enterprise data platform. Responsibilities include implementing governance standards, RBAC, row-level access, masking, tagging, audit controls, secure authentication, scalable data models, integrations, performance optimization, and CI/CD automation. The role also develops Streamlit and Snowflake Cortex applications, protects sensitive data, manages compliance controls, and collaborates with technical and business stakeholders to establish secure architecture standards.

Manage and support Active Directory infrastructure, including domain controllers, FSMO roles, trusts, replication, DNS, Group Policy, authentication, backups, and security logs. Perform AD health checks, migrations, troubleshooting, housekeeping, and hardening of domain controllers, member servers, and endpoints according to CIS benchmarks. Administer OUs, permissions, service accounts, RODC, Global Catalog, AD Recycle Bin, and PowerShell automation. Provide onsite support in a 24x7 environment.

Manage and support Red Hat Linux servers in an onsite 24x7 environment. Responsibilities include server provisioning, installation, configuration, hardening, patching, migration, performance and log monitoring, incident and change management, user and access management, and coordination with Red Hat, HP, and customer teams. The role also requires basic knowledge of Pacemaker, RHEV, LDAP, NFS, ACLs, and Ansible automation, along with effective shift handovers.

Design, build, and deploy production-grade agentic AI systems using LangGraph, Microsoft Copilot Studio, Python, REST APIs, vector databases, and enterprise data sources. Develop stateful multi-agent workflows, custom LLM tools, backend integrations, RAG and GraphRAG solutions, and enterprise copilots. Optimize prompts, context windows, memory, reliability, and latency while integrating Azure AI and Microsoft ecosystem services. Preferred experience includes AI evaluation frameworks and CI/CD for AI applications.

Performs daily cash, ATM, credit-card, and monthly bank reconciliations; investigates transaction, settlement, chargeback, and profit-protection exceptions; manages escalations and case tracking; reviews carrier logs; produces operational, SLA, and KPI reports; and identifies anomalies, root causes, and process-improvement opportunities.

Leads configuration, testing, troubleshooting, and production support for employee and organizational data replication from SAP SuccessFactors Employee Central to SAP S/4HANA Payroll. Maps EC data to SAP HCM structures, configures CPI integrations, implements BAdIs and enhancements, investigates replication failures, performs reconciliation and payroll validation, and creates technical specifications and test documentation. Collaborates with HR, payroll, finance, integration, security, and development teams.

Leads technical development and unit testing of the T4ST adapter for Teamcenter-S/4HANA integration. Configures Teamcenter enhancements using BMIDE, ITK, SOA, and workflows; implements data mapping and transformation; owns complex integration components; resolves defects; conducts code reviews; supports deployments; collaborates on technical design; and mentors junior developers.

Develops and unit tests Teamcenter enhancements and T4ST adapter components for Teamcenter-to-SAP S/4HANA integration. Implements data mapping and transformation for parts, BOMs, BOPs, and changes; resolves build defects; collaborates with senior developers and analysts; and documents code, configuration, and test evidence.

Architect and implement Siemens Opcenter MES solutions for manufacturing clients. Responsibilities include requirements analysis, process and data modeling, configuration, customization, integrations with ERP, PLM, APS, LIMS, and plant systems, testing, deployment, training, and support. The role leads design workshops, develops technical solutions using Java, C#/.NET, Mendix, and databases, applies ISA-95/S88 and regulated-industry standards, supports project teams, and contributes to proposals and the growth of Deloitte’s Siemens MES offering.