Senior DevOps & Infrastructure Automation Lead (SRE / Security & Platform Operations) Provide your feedback on BizChat
Responsibilities
Skills Overview
Expertise across enterprise infrastructure, DevOps, automation, security, and production support environments. Strong experience in backup and recovery using Rubrik, ensuring data protection and rapid restoration. Proficient DBA support for DB2 on z/OS, including performance, recovery, and production stability.
Hands‑on experience with Vulnerability and Patch Management, aligning systems with CIS and STIG compliance standards. Skilled in DevOps and automation using Kafka, GitLab Pipelines, Terraform, Ansible, and AWS, enabling CI/CD, event‑driven architectures, and Infrastructure as Code.
Comprehensive tool support for IBM BigFix, SCCM, and configuration management across Windows, Linux, and AIX, including automation via Ansible Automation Platform. Strong background in server automation, workflow orchestration, and observability with monitoring, telemetry, reporting, and scripting.
Experienced in virtualization and HCI platforms such as VMware and Nutanix AOS, along with SRE practices to improve reliability and operational efficiency. Deep expertise in IBM middleware and security technologies, including IBM DataPower, Event Gateways, IBM IVIA, and OAuth, integrated through modern automation pipelines.
Solid administration and production support skills across Linux, Unix, and mainframe systems, ensuring high availability and incident resolution. Experience supporting Redis and GemFire for high‑performance, in‑memory data processing.
Additional strengths include QA testing (functional and regression), hardware asset management, and workflow automation across Linux and Windows platforms. Proven Project Management and Scrum Master experience within the ITSM banking domain. Hands‑on integration of Pega platforms with Elastic and Kafka for scalable, event‑driven enterprise solutions.
Preferred Skills
- Vulnerability Management
- Anti Virus
- HIPS
- IDS
- Patch Management
Educational Requirements
Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology
Production Support
Responsibilities
Experienced in Java and .NET Production Support, handling incident resolution, application monitoring, root‑cause analysis, and performance issues while ensuring system stability and SLA compliance. Strong expertise in ITIL‑aligned Problem and Incident Management, including trend analysis, permanent fix implementation, and continuous service improvement.
Proficient in Infrastructure and Application Monitoring using tools such as Dynatrace, Splunk, and CA‑ESP, with hands‑on experience in proactive monitoring, alert management, log analysis, and workload automation. Skilled in CA‑ESP / Workload Automation for job scheduling, batch processing, failure handling, and dependency management in critical production environments.
Experienced in Big Data Production Support integrated with ITSM processes, supporting high‑volume, mission‑critical systems. Demonstrated ability in Major Incident Management, coordinating cross‑functional teams, ensuring effective communication, rapid restoration of services, and post‑incident reviews.
Strong working knowledge of SQL and AWS services, with hands‑on production support experience in the Banking Domain, adhering to regulatory, security, and compliance standards. Adept at working in 24×7 support environments, ensuring high availability, reliability, and operational excellence.
Preferred Skills
- Life Sciences Maintenance Process
Educational Requirements
Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology
Network, Connectivity and Automation Services
Responsibilities
Experienced Network and Infrastructure Automation Engineer with strong expertise in enterprise networking, SD-WAN, and secure data transmission technologies. Proficient in core networking concepts including routing and switching, ensuring high availability, performance optimization, and scalable network designs across complex environments.
Hands-on experience with SD-WAN solutions, enabling optimized traffic routing, improved WAN resilience, and cost-effective connectivity across distributed locations. Adept at designing and supporting infrastructure automation initiatives to reduce manual intervention, improve deployment consistency, and enhance operational efficiency.
Well-versed in CA ESP Scheduling and File Transfers, managing batch jobs, workload automation, and enterprise-level file movement with a focus on reliability, auditability, and SLA adherence. Strong understanding of Managed File Transfer (MFT) technologies and secure data transmission protocols including SFTP and FTPS, ensuring compliance with security and governance standards.
Experience working with F5 Load Balancers for application delivery, traffic management, SSL offloading, and high availability configurations to support business-critical applications. Skilled as an Infoblox DDI Engineer, managing DNS, DHCP, and IP Address Management to maintain network accuracy, stability, and visibility.
Demonstrated leadership capabilities as a Scrum Master and Network Team Lead, facilitating Agile ceremonies, removing blockers, coordinating cross-functional teams, and driving continuous improvement while mentoring engineers and ensuring timely delivery of network initiatives.
Preferred Skills
- Routing & Switching
Educational Requirements
Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology
Infrastructure & Platform Engineering
Responsibilities
Job Summary:
We are seeking a highly skilled Senior Infrastructure & Platform Engineer to manage, support, and optimize enterprise application, database, and platform environments. The role requires strong expertise across middleware, databases, operating systems, container platforms, and automation tools to ensure high availability, security, and performance of mission-critical systems.
Key Responsibilities:
Administer and support middleware platforms including IBM WebSphere, IIS, Tomcat, Spring Boot, and IBM MQ.
Perform Linux, Windows, and AIX 7.2 (LPAR) system administration, including performance tuning, patching, and troubleshooting.
Manage container platforms using Red Hat OpenShift, including operations, monitoring, and data protection with IBM Fusion.
Provide database administration support across DB2 LUW, Netezza, SAP HANA, Cassandra, Oracle, MS SQL, PostgreSQL, and AWS databases (Aurora, RDS).
Handle enterprise storage technologies including SAN/NAS and ensure optimal capacity and performance.
Support endpoint and system management using SCCM.
Implement and maintain CI/CD and automation using GitLab Pipelines, Terraform, and Ansible.
Work with ETL processes, strong Unix commands, and follow ITIL best practices for incident, problem, and change management.
Ensure system reliability, backups, disaster recovery, security compliance, and documentation.
Required Skills & Experience:
Strong hands-on experience with enterprise middleware, databases, and OS administration
Experience in hybrid/on‑prem and cloud database environments
Proven expertise in containerization, automation, and infrastructure-as-code
Excellent troubleshooting, documentation, and collaboration skills
Preferred Qualifications:
ITIL certification
Experience in large-scale enterprise environments
Preferred Skills
- Linux Admin
Educational Requirements
Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology
RPA
Responsibilities
You will be joining 24/7 mainframe Operations Center team responsible for end to end monitoring of Mainframe Batch Operations in Nordik Bank. Our goal is to ensure business processes are met via batch schedules as per the requirements of the respective development areas. We also strive to optimize and make our organization effective by driving value addition initiatives.
You will collaborate closely with the Developers across the bank and infrastructure teams and there is an opportunity to upskill your technical
Skills and competencies for Batch Operations
- Monitoring batch jobs and scheduling using IWS-OPC
- Interacting with the clients and different teams on daily basis.
- Coordinating with application team for any issues during the batch cycles for applications.
- Understanding applications, critical deadline times and have the zeal to fix batch failures within SLA
- Resolution of abends: restart, mark complete, cancel jobs, analyzing late jobs, etc through OPC scheduler.
- Participating in Major incident bridge calls. Handle all meetings and discussions regarding implementations and changes.
- Preparing reports and documents.
- Adhoc request to Schedule particular jobs, applications and periods in OPC.
- Taking care of each production batch job abends by following operator instructions and escalating to appropriate support group if required.
- Providing immediate Fixes and submitting the jobs.
- Investigation of long running jobs.
- Changing the Priorities and the Service Classes of the Regions/job if required
Additional skills which can be an added advantage
- Performing mainframe console operations system health checks.
- Perform IPL on all the LPARs during maintenance window and troubleshooting during the IPL.
- Replying to WTOR’s referring to process documents,
- Handling the hardware related issues, raising the service request with the h/w provider.
- Perform IPL on all the LPARs during maintenance window and troubleshooting during the IPL.
- Handling resource contentions and taking actions for alerts on production system.
- Performing DR Tests.
- Attending daily huddle and change meetings.
- Enabling the Transactions through automation and commands as well.
- Knowledge of HMC tool.
Technical and Professional Requirements
Copilot studio
Power Automate Cloud
Power Apps
Preferred Skills
- Power Apps
- Power Automate Desktop
Educational Requirements
Master Of Engineering,Master Of Technology,Bachelor of Engineering,Bachelor Of Technology
Mainframe Security-Consultant
Responsibilities
Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
Good knowledge on software configuration management systems
Awareness of latest technologies and Industry trends
Logical thinking and problem solving skills along with an ability to collaborate
Understanding of the financial processes for various types of projects and the various pricing models available
Ability to assess the current processes, identify improvement areas and suggest the technology solutions
One or two industry domain knowledge
Client Interfacing skills
Project and Team management
Additional Responsibilities
- Location of posting is subject to business requirements
Technical and Professional Requirements
- Strong experience in Mainframe Security ACF2 for 6 to 8 years
- Mainframe ACF Database maintenance and Administration
Preferred Skills
- Mainframe Technologies- ALL
- Security
Educational Requirements
Bachelor of Engineering
Automation Testing Lead
Responsibilities
Primary skills:Process-Testing processes-Test Automation Process,Technology-ASP.Net-ASP.Net Web API,Technology-Java-Core Java
Additional Responsibilities
Location – Pan India, Base location is subject to business requirements..
Technical and Professional Requirements
- Possess end-to-end knowledge and experience in testing
- Extensive experience in test planning/ test strategy, test estimates
- Excellent communication and client handling skills
- Experience in one or more scripting languages and automation tools
- Analytical, Client interfacing and stakeholder management skills
- Knowledge of SDLC and agile methodologies
- Project and Team Management
Preferred Skills
- Automated Testing – ALL
- Selenium-Java
- Mobile Automation Testing
Educational Requirements
Bachelor of Engineering
AI Trust Governance Architect
Responsibilities
Key Responsibilities
AI Assurance Architecture
- Architect platforms and frameworks for AI assurance, evaluation, and benchmarking
- Design systems for LLM, agent, and RAG evaluation across functional, non functional, and risk dimensions
- Define architectural patterns for Responsible AI, bias detection, explainability, and safety validation
- Build reusable assurance components supporting Business Assurance, Risk Assurance, and Reliability
Security, Reliability & Governance
- Architect AI testing and validation for security, privacy, prompt injection, and adversarial robustness
- Integrate red teaming, threat simulation, and chaos style validation for AI systems
- Define governance mechanisms for model usage, auditability, traceability, and compliance
- Ensure AI systems meet enterprise standards for resilience, fault tolerance, and observability
Platform & Engineering Enablement
- Design AI assurance platforms supporting automated test execution, reporting, and insights
- Enable integration with CI/CD pipelines to enforce AI quality gates
- Collaborate with QE engineering teams to embed AI assurance into the SDLC
- Mentor teams on AI risk identification and mitigation from an engineering perspective
Core Platforms, Frameworks & Tooling
- LLM and AI evaluation frameworks (PromptFoo, DeepEval, custom LLM evaluation harnesses)
- Prompt, RAG, and agent validation tooling (prompt testing frameworks, retrieval accuracy validators, agent workflow evaluators)
- Responsible AI and model risk tooling (Fairlearn, SHAP, Explainable AI libraries, toxicity and bias scanners)
- Security and adversarial testing tools for AI systems (PyRIT, Garak)
- AI red teaming and threat simulation frameworks (automated red team scripts, adversarial test suites for LLMs and agents)
- AI assurance automation and QE frameworks (Galileo)
- Observability for AI behavior and drift (Langfuse, Arize, Evidently, custom telemetry dashboards)
Client Orientation & Leadership
- Partner with product and engineering teams to identify AI Assurance opportunities and shape roadmaps
- Support client workshops, RFPs, and solution presentations
- Mentor engineers on AI/ML/Gen AI best practices and emerging technologies
- Translate complex AI concepts into business-friendly narratives
Technical and Professional Requirements
Must Have Qualifications
- 13+ years of experience in software engineering with 3+ years in AI with strong architecture ownership
- Hands on expertise in AI/ML systems, LLM evaluation, and assurance frameworks
- Experience with AI red teaming, model risk management, or AI audit tooling
- Strong understanding of Responsible AI, AI risks, and governance principles
- Experience with security testing, adversarial testing, and reliability engineering
- Proficiency in Python, automation frameworks, and cloud platforms
Good to Have Skills
- Knowledge of regulatory or compliance considerations for AI systems
- Exposure to performance engineering, chaos engineering, or resilience testing for AI
- Contributions to internal platforms, frameworks, or standards
Preferred Skills
- LLMOps
- Request For Proposal (RFP)/Proposal Development
- traditional ai ml
- Test Automation Technology
- CD/CI
- Conversational AI Platform
- retrieval augmented generation (rag)
- Automated Testing – ALL
Educational Requirements
Bachelor of Engineering
Data AI Architect
Responsibilities
Key Responsibilities
Data Architecture for AI
- Architect AI data foundations including ingestion, transformation, enrichment, and serving layers
- Design data architectures supporting RAG, embeddings, feature stores, and training data pipelines
- Define standards for data quality, lineage, versioning, and governance for AI workloads
- Ensure data platforms support scalability, performance, and low latency AI use cases
Data Quality & Assurance
- Architect data validation and testing frameworks for AI and analytics systems
- Enable automated validation for data correctness, drift, bias, and completeness
- Define test strategies for data migration, data transformation, and AI readiness
- Collaborate with QE teams to embed data assurance into pipelines and platforms
Platform & Integration
- Integrate data platforms with AI services and analytics tools
- Define secure access patterns for data used in training, inference, and evaluation
- Enable observability for data pipelines and AI data consumption
- Guide teams on best practices for AI enabled BI and data driven systems
Core Platforms, Frameworks & Tooling
- LLM and foundation model platforms (e.g., AWS Bedrock, Azure OpenAI, Vertex AI)
- Agentic AI and orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, Google ADK or equivalent)
- CI/CD and MLOps tooling for AI pipelines (GitHub Actions, Azure DevOps, Jenkins)
- Data ingestion and processing platforms (Spark, Kafka, cloud native ETL/ELT frameworks)
- Data quality and validation frameworks (Great Expectations, Amazon Deequ, custom reconciliation frameworks)
- Feature stores and embedding pipelines (Feast, embedding generation pipelines, vector databases)
- Data drift, bias, and consistency monitoring tools (Evidently, statistical data quality monitors)
- Metadata, lineage, and governance platforms (DataHub, Apache Atlas, cloud data catalogs)
- AI enabled analytics and Generative BI platforms (Power BI with Copilot, semantic layers, NLQ enabled BI)
- Cloud native data platforms and storage (object storage, distributed query engines, data lakehouses)
Client Orientation & Leadership
- Partner with product and engineering teams to identify Data for AI opportunities and shape roadmaps
- Support client workshops, RFPs, and solution presentations
- Mentor engineers on AI/ML/Gen AI best practices and emerging technologies
- Translate complex AI concepts into business-friendly narratives
Technical and Professional Requirements
Must Have Qualifications
- 13+ years of experience in software engineering with 3+ years in AI with strong architecture ownership
- Strong expertise in data engineering, data quality, and data governance
- Experience supporting AI use cases such as RAG, feature engineering, and model training
- Proficiency with data platforms, cloud services, and distributed data systems
- Solid understanding of QE practices related to data validation and testing
Good to Have Skills
- Experience with Generative BI or AI assisted analytics
- Knowledge of metadata management, lineage tools, and data observability
- Exposure to AI ethics and bias in data sets
- Cloud data certifications
Preferred Skills
- retrieval augmented generation (rag)
- Databricks
- Palantir Foundry
- Data Architecture – Data Modeling
- Matlab
- CD/CI
- Confluent Kafka
- Spark
Educational Requirements
Bachelor of Engineering
Solution Expert Architect
Responsibilities
Role: Infrastructure Architect.
- Possess strong, in-depth knowledge of enterprise infrastructure including network, compute, storage, virtualization, cloud, and hybrid environments.
- Define and govern end-to-end infrastructure architecture aligned with operational stability, scalability, security, and performance requirements.
- Provide architectural guidance and technical leadership to customers and internal IT Operations teams.
- Translate business requirements into sustainable and cost-effective infrastructure solutions.
- Develop and present a future-ready infrastructure roadmap, covering modernization, cloud adoption, automation, and technology transformation initiatives.
- Ensure infrastructure architectures adhere to industry best practices, security standards, and compliance requirements.
- Act as a design authority for infrastructure changes, enhancements, and major transformation programs.
- Support complex troubleshooting and act as a technical escalation point for high-impact operational issues.
- Drive standardization, optimization, and continuous improvement across the infrastructure landscape.
- Evaluate emerging technologies and platforms to improve resilience, availability, and operational efficiency.
- Provide guidance on DR, high availability, capacity planning, and performance management strategies.
- Demonstrate strong communication and stakeholder management skills, effectively engaging with both technical and business stakeholders.
Job Description:Solution Architect.
Possess strong expertise across enterprise infrastructure domains including network, compute, storage, virtualization, cloud, and hybrid environments.
Engage with customers to understand business drivers, technical requirements, constraints, and success criteria.
Define end-to-end infrastructure solution blueprints and architectures tailored to customer needs and industry best practices.
Lead solution design activities for RFPs, RFIs, and proposals, including technical responses, assumptions, and solution narratives.
Translate customer requirements into scalable, secure, resilient, and cost-effective infrastructure solutions.
Develop high-level and detailed solution architectures, diagrams, and design documentation for on-prem, cloud, and hybrid models.
Collaborate closely with sales, pre-sales, delivery, and operations teams to ensure solution feasibility and operational readiness.BOM, sizing, costing, and solution trade-offs during proposal and deal shaping phases.
Additional Responsibilities
Customer requirement analysis and discovery
RFP / RFI / proposal solution design
Effort estimation, sizing, BOM, costing
Trade‑off analysis and cost optimization
Creating architecture diagrams and design documentation
Value proposition articulation (business + technology)
Technical and Professional Requirements
1.Enterprise Infrastructure Architecture
Network, compute, storage, virtualization
On‑prem, cloud, and hybrid environments
2.Cloud & Modernization
Cloud adoption strategies (AWS / Azure / GCP concepts)
Hybrid cloud design, migration, and modernization
Automation and infrastructure transformation
3.Resilience & Availability
Preferred Skills
- Line Sizing
- Server-Storage-Others
- IDZ
- Policy Automation
- BOM
- Vmware-vCloud
Educational Requirements
Bachelor of Engineering,Bachelor Of Technology