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JOB DESCRIPTION - Software Engineer / Core Engineer

Java Full Stack Developer with GCP

Location: Sholinganallur, Chennai - Work From Office (WFO)

Positions: Software Engineer / Core Engineer

Experience: 6+ Years IT Experience, with 4+ Years in Software Development [Ideal: 6-10 Years]

Education: Bachelor's Degree

Employment Type: Full-Time

Role Summary

This is a Java Full Stack Developer role with GCP as mandatory requirement, where Java, Spring Boot, Angular, and GCP are non-negotiable. You will be part of Core Engineering building cloud-native, scalable full-stack platforms.

Mandatory Skills

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills

• GCP Data: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Orchestration & Big Data: Apache Airflow, PySpark, Python
• DevOps & IaC: Terraform, Tekton, Maven, Gradle
• API & Quality: APIGEE, Swagger / OpenAPI, SonarQube, Spring Cloud
• UI/UX Collaboration

Roles & Responsibilities

1. Design, develop, test, and deploy full-stack applications end-to-end.
2. Build scalable REST APIs and Microservices architecture.
3. Develop responsive Angular-based UI applications.
4. Design software architecture and cloud-native solutions.
5. Work on GCP deployments and cloud migration projects.
6. Follow Agile, TDD, CI/CD, and DevOps practices.
7. Collaborate with Product Owners, Architects, UI/UX teams, and other stakeholders.
8. Ensure application security, performance optimization, and code quality.

Ideal Candidate Profile

• 6-10 years of experience with strong hands-on coding.
• Strong expertise in Java, Spring Boot, Angular, and GCP.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and cloud deployment.
• Good communication skills and experience working in Agile teams.
• Willing to work WFO from Sholinganallur, Chennai.

Job Description: Software Engineer / Core Engineer - Java Full Stack (GCP)

Location: Sholinganallur, Chennai - Work From Office (WFO)only chennai candidate

Experience: 6+ years of IT experience with 4+ years in Software Development [Ideal: 6-10 years]

Education: Bachelor's Degree [B.E./B.Tech or equivalent]

Employment Type: Full Time

About the Role:

This is a Java Full Stack Developer role with a strong GCP requirement. We are looking for a hands-on Software Engineer / Core Engineer to design, build, and scale cloud-native full-stack applications. Java, Spring Boot, Angular, and GCP are mandatory skills for this position.

Mandatory Skills:

• Full Stack Java Development
• Java
• Spring Boot
• Angular
• Google Cloud Platform (GCP)
• REST APIs & Microservices
• Agile Software Development

Preferred Skills:

• Data & Analytics on GCP: BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL, PostgreSQL
• Big Data & Orchestration: Apache Airflow, PySpark, Python
• IaC & DevOps: Terraform, Tekton, Maven, Gradle, SonarQube
• Frameworks & Tools: Spring Cloud, APIGEE, Swagger/OpenAPI
• UI/UX Collaboration

Roles & Responsibilities:

1. Design, develop, test, and deploy robust full-stack applications using Java, Spring Boot, and Angular.
2. Build and maintain scalable REST APIs and microservices-based architecture.
3. Develop responsive, high-performance Angular-based UI applications and collaborate with UI/UX teams for seamless user experience.
4. Design software architecture and end-to-end cloud-native solutions on Google Cloud Platform.
5. Work on GCP deployments, infrastructure setup, and cloud migration initiatives.
6. Follow and advocate Agile, TDD, CI/CD, and DevOps best practices throughout the SDLC.
7. Collaborate effectively with Product Owners, Architects, UI/UX teams, and cross-functional stakeholders.
8. Ensure application security, performance optimization, scalability, and high code quality with SonarQube, code reviews, and testing.

Ideal Candidate Profile:

• 6 to 10 years of total IT experience with strong hands-on development background.
• Strong expertise in Java, Spring Boot, Angular, and GCP - must have built production-grade applications.
• Hands-on experience with Microservices, REST APIs, CI/CD pipelines, and Cloud Deployment.
• Experience with Cloud SQL, PostgreSQL, and GCP data services is a plus.
• Good understanding of software architecture, distributed systems, and performance tuning.
• Excellent communication skills and proven experience working in Agile teams.
• Willingness to work from Sholinganallur, Chennai office (WFO).

What We Offer:

• Opportunity to work on cloud-native, large-scale platforms
• Agile and collaborative work culture
• Exposure to modern GCP data stack and DevOps ecosystem

Greetings from zealous services!

Job Title: CLO 3D Designer

Location: Chennai

Experience: 2 to 5 Years

Employment Type: Full-Time

Job Summary

We are looking for a creative and detail-oriented CLO 3D Designer to create realistic 3D garments and digital fashion assets using CLO 3D software. The candidate should have strong knowledge of garment construction, fabric simulation, pattern making, rendering, and fashion visualization.

Key Responsibilities

• Create high-quality 3D garments using CLO 3D / Marvelous Designer
• Develop digital clothing from sketches, tech packs, DXF files, and reference images
• Perform garment simulation, fitting, draping, and fabric behavior adjustments
• Apply textures, trims, graphics, prints, and materials to garments
• Generate realistic renders and presentation-ready outputs
• Work closely with fashion designers, merchandisers, and production teams
• Ensure accurate garment fit, measurements, and construction details
• Maintain organized project files and digital asset libraries
• Optimize garments for rendering, animation, and visualization workflows
• Stay updated with latest fashion and 3D design trends

Required Skills

• Strong expertise in CLO 3D (Mandatory)
• Knowledge of garment construction and pattern making
• Experience in fabric simulation and realistic rendering
• Understanding of fashion design workflows and apparel production
• Proficiency in Adobe Illustrator, Photoshop, or related tools
• Knowledge of 3D tools such as Blender, Maya, Unreal Engine, or Marvelous Designer is an added advantage
• Good communication and teamwork skills
• Strong attention to detail and creativity

Qualification

• Diploma / Degree in Fashion Design, Textile Design, Animation, or related field
• Relevant experience in digital fashion or 3D garment visualization

Preferred Candidate

• Candidates with apparel/fashion industry experience preferred
• Portfolio showcasing CLO 3D garment projects is mandatory

Location: Chennai (Hybrid)

Employment Type: Full-Time

About the Role

We are seeking a highly skilled Technical Operations Lead to lead and manage Microsoft 365, Azure, and Enterprise IT Operations environments. The ideal candidate will have strong hands-on expertise in Microsoft technologies, cloud infrastructure, security, endpoint management, and operational excellence.

This role requires a balance of technical leadership, customer engagement, problem-solving, and team management capabilities to ensure secure, reliable, and scalable IT operations.

Key Responsibilities

Microsoft 365 Administration

• Manage and support Microsoft 365 services including:
• Exchange Online
• Microsoft Teams
• SharePoint Online
• OneDrive for Business
• Entra ID (Azure AD)

Identity & Access Management

• Manage Entra ID, Active Directory, Hybrid Identity, and Conditional Access.
• Implement and maintain Zero Trust security principles.
• Configure authentication, SSO, MFA, RBAC, and identity governance.

Endpoint Management

• Administer Microsoft Intune and Endpoint Manager.
• Manage Windows Autopilot deployments.
• Configure device compliance, configuration profiles, application deployment, and MDM/MAM policies.
• Implement BitLocker, Defender policies, and endpoint security controls.

Security & Compliance

• Manage Microsoft Defender Suite and Security Center.
• Configure and monitor:
• Microsoft Defender for Endpoint
• Defender for Office 365
• Microsoft Purview
• DLP and Information Protection
• Security Baselines
• Respond to security incidents and operational escalations.

Azure Administration

• Support Azure infrastructure, governance, and security.
• Manage virtual machines, networking, storage, monitoring, and access management.
• Assist in cloud migration and modernization initiatives.

Operations Leadership

• Lead technical operations teams and provide technical guidance.
• Own incident management, service delivery, escalation handling, and root cause analysis.
• Drive operational improvements, automation initiatives, and service excellence.

Automation & Scripting

• Develop and maintain automation solutions using:
• PowerShell
• Azure Automation
• Microsoft Graph API
• Power Platform (preferred)
• Streamline administration and support processes through scripting.

Required Skills

• Strong experience with Microsoft 365 Administration
• Hands-on expertise in: Exchange Online, Entra ID (Azure AD), Active Directory, Microsoft Intune, Microsoft Defender, Microsoft Purview
• Azure Administration and Security
• Windows Server Administration
• PowerShell Scripting
• Troubleshooting complex Microsoft environments
• Incident, Change, and Problem Management
• Strong documentation and operational governance skills

Preferred Skills

• Microsoft 365 Security & Compliance
• Azure Security and Governance
• Power Platform (Power Automate, Power Apps)
• Azure Automation and Microsoft Graph
• ITIL Foundation Certification
• Experience managing enterprise-scale M365 environments
• Exposure to AI tools such as Microsoft Copilot and AI-driven IT operations

Leadership & Soft Skills

• Excellent verbal and written communication skills
• Strong stakeholder management capabilities
• Team leadership and mentoring experience
• Customer-focused mindset
• Ability to drive projects independently
• Problem-solving and analytical thinking

Experience & Qualifications

• 3+ years of IT Infrastructure / Cloud Operations experience
• Bachelor's Degree in Engineering, Computer Science, or related field

Preferred Certifications

• AZ-104 / AZ-305
• AZ-500
• SC-300
• SC-100
• Microsoft 365 Administrator Expert
• MD-102
• ITIL Foundation

Key Responsibilities

• Data Modeling & UI: Extend MDG Data Models (MARA/MARC/MARD), configure UI/FPM (Floorplan Manager) feeder classes, and develop custom entities/attributes.
• Rule Engine & Logic: Program complex validation/derivation logic in BRF+ and custom BAdIs (USMD_RULE_SERVICE, USMD_ACC_CHECK).
• Workflow Technicals: Customize and debug Rule-Based Workflows (RBWF) and change request (CR) step configurations.
• Data Replication: Configure and troubleshoot DRF+ (Data Replication Framework), Key/Value Mapping, ALE/IDocs, and OData/SOA web services.
• Integrations & Mass Maintenance: Handle technical integration with external systems (PLM/Catalogues) and manage technical configurations for SAP CMP (Consolidation & Mass Processing).

Must-Have Technical Skills

• 6+ years of hands-on SAP MDG Backend Technical Development (MDG-M specific).
• Strong expertise in BRF+, Data Modeling, FPM / Web Dynpro ABAP, and DRF+.
• Deep knowledge of Core ABAP / OO-ABAP, BAdIs, Enhancement Framework, and ALE/IDocs.
• Hands-on experience with S/4HANA ABAP, CDS Views, AMDP, and OData Services.

Position title: Business Development Manager :

Summary - 

A Business Development Manager is responsible for identifying and cultivating partnerships, expanding market presence, and driving revenue growth through targeted marketing initiatives. They collaborate with cross-functional teams to analyse market trends, develop competitive strategies, and to promote the company's products and services within the manufacturing sector.

Responsibilities:

Business Development & Sales Growth

• Identify and develop new business opportunities for Mechanical Face Seals (MFS) and Radial Oil Seals (ROS) across target industries:
• Identify opportunities for MFS/RSS account growth and upselling, working collaboratively with clients to introduce new products or services that align with their business objectives.
• Generate and qualify sales leads through market mapping, OEM engagement, and distributor networks.
• Develop strategic sales plans to achieve revenue and profitability targets.
• Prepare sales forecasts and business plans.

OEM & Key Account Management

• Build relationships with OEMs, Tier-1 suppliers, and major industrial customers.
• Manage the complete sales cycle from inquiry to order closure.
• Negotiate commercial terms, pricing, contracts, and supply agreements.
• Ensure long-term customer retention and account growth.

Technical Sales Support:

• Understand customer application requirements and recommend suitable sealing
• solutions.
•  Coordinate with Application engineering and product teams for:
•  Product selection
•  Custom seal design
• Application validation
• Failure analysis
• Present technical product capabilities and advantages to customers.

Market Research & Competitive Analysis

•  Monitor market trends, competitor activities, and industry developments.
• Identify emerging opportunities in new sectors and geographic regions.
•  Analyze customer requirements, pricing trends, and competitor product offerings.

New Product Development Support

•  Gather Voice of Customer (VOC) inputs for product improvement and innovation.
• Collaborate with R&D and manufacturing teams on new product introductions.
• Support product testing and validation programs with customers.

Customer Service & Problem Resolution

•  Address customer concerns relating to:
• Product performance
• Delivery issues
• Work with quality and application engineering teams for corrective actions.

Reporting & Performance Management

• Maintain CRM and sales pipeline data.
• Track KPIs such as

Education and Experience:

• A bachelor's degree in mechanical engineering, or a related field.

• Advanced degrees or certifications in business development, or a relevant field can be advantageous.

• Exp in business development roles, preferably within the manufacturing sector for min of 12 -15 years

Competencies:

• Negotiation Skills
• Strategic Thinking
• Communication Skills
• Relationship Building
• Analytical Skills
• Relationship Building
• Creativity
• Project Management
• Adaptability
• Ethical Conduct

Behavioral Characteristics

• Self motivated
• Passionate about learning new things and taking challenges positively.
• Eager to learn the capability
• Able to communicate ideas effectively
• Ability to communicate effectively with business users and other IT Groups
• High level of self-control and good personal time management.
• Flexible adaptation to business process alignment with system and industry best practice

Geography to cover and Travel requirements

• PAN India customer base. Willingness to travel across India (depending on the segment/customer base) frequently or as & when required.

Key Interfaces and Stakeholders

• Internal engineering community, including R&D, Manufacturing Operations of both plastics and elastomers, and Aerospace.
• Cross functional work with parallel systems upstream or downstream to the engineering toolset.

Interview process

2 rounds - Virtual interview and 1 round face-to-face

Any other Criteria

• Notice Period: Below 90 Days only. No Negotiation on Notice Period
• Gender: Female and Male; Female preferred
• Qualification: Mechanical Engineering / Automotive Engineering / Industrial Engineering
• Experience: 12 -15 years
• We don’t consider candidates who have changed multiple companies.
• Without mandatory skills experience, the candidate profiles will not be considered
• We want a candidate from Bangalore/Karnataka; we can look for a candidate from Tamil Nadu, Andhra Pradesh, and Kerala. Other Location candidates will not be accepted.

Summary - 

Responsibility – To extend technical support to sales/customers for all kind of technical enquiries,manage projects, handling seal failure analysis(performance issue). Has a large technical understanding to respond to customers' requests to safeguard existing business.

Responsibilities:

• To study the EAR(Engineering action request), customer drawing/technical specification,seal selection and make the proposal drawing for potential customers.
• Follow up on proposal with customer for approval etc
• During proto development, to support the seal installation.
• In case of any seal failure, to study & find out the possible reasons. Sending the failure analysis report taking guidance from experts.
• Understand Customer Technical training
• Visiting the customers along with CSR as & when required
• To handle the projects & maintaining the project report.
•  To keep track of customer & supplier drawings, standards, quotes etc.
•  Participate in promotional activities like exhibition, technical seminars etc.
•  To promote new seals in our customer application.
•  Process knowledge of Oil & Gas Segment

Education and Experience:

Qualification: ME / Mechanical Engineering / BE in Mechanical Engineering

Exp in Oil & Gas, & OEM Sales with 5-7 Years

Competencies:

• Strong work experience in application engineering & design with respective customers
• Familiar with CRM Software
• Strong Knowledge on Business Sales and Marketing Practices
• Knowledge in seals, Hydraulics and Pneumatics Systems Preferred
• Process knowledge of Oil & Gas segment.
• Knowledge on Rubber/Plastics products
•  Excellent customer focus and understanding of total customer satisfaction
• Ability to lead and motivate customers

Behavioral Characteristics

• Self motivated
• Passionate about learning new things and taking challenges positively.
• Eager to learn the capability
• Able to communicate ideas effectively
• Ability to communicate effectively with business users and other IT Groups
• High level of self-control and good personal time management.
• Flexible adaptation to business process alignment with system and industry best practice

Geography to cover and Travel requirements

• PAN India customers base. Willingness to travel across India, frequently or as & when required.

Behavioral Characteristics:

• Excellent Customer Focus and understanding of Total Customer Satisfaction
• Ability to work independently as well as in a team environment
• Excellent written and verbal communication skills, people and relationship building skills
• Strong analytical, decision making and problem solving skills
• Proactive involvement, good initiator

Interview process

2 rounds - Virtual interview and 1 round Face to Face

Any other Criteria

• Notice Period: Below 60 or 90 Days 
• Gender: Female and Male; Female preferred
• Qualification:BE in Mechanical Engineering
• Experience: 4-7 Years
• We don’t consider candidates who have changed multiple companies.
• Without mandatory skills experience, the candidate profiles will not be considered
• We want a candidate from Bangalore/Karnataka; we can look for a candidate from Tamil Nadu, Andhra Pradesh, and Kerala. Other Location candidates will not be accepted.

Python Machine Learning Engineer / Data Scientist (GCP)

Experience: Typically 6–10 Years (based on JD complexity)

Primary Skills: Python, Machine Learning, Data Analysis, Google Cloud Platform (GCP)

Must-Have Skills (ON)

• Python
• Machine Learning
• Data Analysis
• Exploratory Data Analysis (EDA)
• Google Cloud Platform (GCP)
• BigQuery
• Vertex AI
• Cloud Storage
• Cloud Functions
• Pandas
• NumPy
• Scikit-Learn
• TensorFlow OR PyTorch
• Statistical Analysis
• Predictive Modeling
• Business Stakeholder Management
• Requirement Gathering
• Root Cause Analysis
• Data-Driven Decision Making

Role: Data Science with GCP

Locations: Chennai

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Job Summary:

The ideal candidate should have strong expertise in Python| Machine Learning| Data Analysis| and Google Cloud Platform (GCP). This role requires close collaboration with business stakeholders to understand business challenges| translate requirements into actionable business cases| identify opportunities for improvement| and develop data-driven solutions that deliver measurable business value.

Responsibilities:

• Business & Stakeholder Management
• Engage with business stakeholders to understand business problems| goals| and requirements.
• Translate business requirements into clear analytical and machine learning use cases.
• Formulate business cases and define success metrics for proposed solutions.
• Collaborate with cross-functional teams including Product| Engineering| Operations| and Business teams.
• Data Analysis & Problem Identification
• Analyze existing applications| systems| and business processes to identify inefficiencies and improvement opportunities.
• Perform root cause analysis on business and operational challenges.
• Conduct exploratory data analysis (EDA) to discover trends| patterns| and anomalies.
• Generate actionable insights that support strategic business decisions.
• Machine Learning & Advanced AnalyticsDesign| develop| train| and deploy Machine Learning models.
• Implement predictive| classification| recommendation| forecasting| and anomaly detection solutions.
• Data Engineering & CloudWork with structured and unstructured datasets from multiple sources.
• Utilize GCP services such as:
• BigQuery
• Vertex
• AICloud Storage Cloud Functions

Technical Skills

• Strong proficiency in Python.
• Hands-on experience with: Pandas NumPyScikit-Learn TensorFlow/PyTorch, Matplotlib, Seaborn
• Strong understanding of: Machine Learning algorithms, Statistical analysis, Predictive modelling
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of data visualization tools such as: Power BI/Tableau

Experience: 3-5 Years of driving revenue through Retail Pharmacy.

About the Role

We are looking at experienced team members who have learned the art of onboarding

Retailers, Chemist, Pharmacist in their region. Candidate will be required to perform below

KPI/KRAs for this role:

- Achieve monthly sales TGT of ~15L through offline sales in Chemist, Pharmacist,

Retailers

- Improve blended margins through selling Pharma, Consumables and POCT devices

- Onboard monthly 50 customers for generating sales

- Drive campaigns on schemes, bundle offerings to end customers

- 10 Customer Visits / Day

Focus Categories:

- Branded Generic

- Ethical Brands

- Make In India Generics

- OTC/OTX

- Consumables &

- POCT Devices like (Hb Meter, BP Meter, Gluco meter, weighing scale etc.)

Design, develop, and maintain high-performance Android applications using Kotlin (Java knowledge preferred). Integrate REST APIs, Firebase, WebSockets, payment gateways, and third-party services while implementing secure authentication (OTP, JWT, OAuth) and role-based access control. Optimize application performance, security, scalability, and manage Play Store releases. Experience with Git, cloud platforms (AWS/GCP), and API security best practices is essential. Exposure to real-time applications (ride-hailing, delivery, chat), CI/CD, Docker, and WhatsApp Business API is an advantage. Candidates should possess strong analytical, debugging, communication, and problem-solving skills with the ability to work independently in a fast-paced startup environment.

Job Title: UI Engineer

Location: Taramani, Chennai

Experience: 2–4 Years

Work Mode: On-site

Job Summary

We are looking for a creative and technically capable UI Engineer to design and develop modern, responsive, and visually polished interfaces for enterprise web applications.

The ideal candidate should combine strong visual design skills with hands-on front-end development experience in Angular. Proficiency in Figma, Angular 16+, TypeScript, HTML, and CSS, along with experience using AI-assisted development tools such as Cursor, Codex, Replit, or Lovable, is required.

Key Responsibilities

• Design and develop clean, intuitive, and responsive interfaces for enterprise web applications.
• Translate product requirements into wireframes, high-fidelity designs, prototypes, and functional UI components.
• Build reusable and maintainable components using Angular and TypeScript.
• Create and maintain design systems, component libraries, and UI standards.
• Implement responsive layouts using HTML and CSS.
• Develop clear and effective interfaces for data-intensive applications.
• Integrate front-end components with REST APIs and backend services.
• Ensure visual consistency between Figma designs and developed interfaces.
• Optimise interfaces for performance, accessibility, and browser compatibility.
• Collaborate with product managers, backend developers, and other stakeholders.
• Use AI-assisted tools to accelerate design, development, testing, debugging, and code refinement.
• Participate in code reviews and application release activities.

Required Skills and Experience

• 2–4 years of experience in UI engineering or front-end development.
• Strong proficiency in Angular, TypeScript, JavaScript, HTML5, and CSS3.
• Strong proficiency in Figma, including auto layout, components, variants, design libraries, and prototyping.
• Strong understanding of visual design, typography, colour, layout, spacing, and responsive design.
• Experience creating reusable, component-based interfaces and maintaining design systems.
• Experience integrating front-end applications with REST APIs.
• Hands-on experience with data visualisation and charting libraries.
• Working knowledge of Git and collaborative development workflows.
• Understanding of accessibility, cross-browser compatibility, and front-end performance optimisation.
• Hands-on experience with at least one AI-assisted development tool such as Cursor, Codex, Replit, Lovable, or a similar platform.
• Ability to translate designs into accurate, production-ready interfaces.
• A strong portfolio or project examples demonstrating both design capability and front-end implementation.

Required Qualifications

• Bachelor's degree in Engineering, Business Administration, Supply Chain Management, Information Technology, or a related discipline.
• 3–5 years of experience in Project Coordination, PMO, or Project Management support.
• Strong understanding of project lifecycle management and project governance.
• Experience coordinating cross-functional teams across multiple stakeholders.
• Excellent organizational, communication, and stakeholder management skills.
• Strong analytical and problem-solving abilities with attention to detail.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Experience

• Experience working in the Supply Chain, Logistics, Warehouse Management (WMS), Manufacturing, or Distribution domain.
• Exposure to supply chain transformation, warehouse automation, transportation management, inventory management, or ERP implementation projects.
• Experience supporting Agile, Waterfall, or Hybrid project methodologies.

Technical Skills

• Project Management Tools: Jira, Azure DevOps, Microsoft Project, Smartsheet, or similar.
• Microsoft Office Suite (Advanced Excel, PowerPoint, Word).
• Collaboration Tools: Microsoft Teams, Confluence, SharePoint.
• Reporting and dashboard preparation using Excel or Power BI is an added advantage.
• Familiarity with ERP platforms such as SAP, Oracle, Manhattan, Blue Yonder, or Kinaxis is preferred.

Preferred Certifications

• CAPM (Certified Associate in Project Management)
• PMP (Preferred but not mandatory)
• Scrum Fundamentals / Certified ScrumMaster (CSM) – Good to have

PRINCE2 Foundation – Good to have

Key Responsibilities:

• Implement and configure Manhattan Active TMS solutions to support transportation planning, execution, and optimization.
• Collaborate with business and IT stakeholders to define transportation requirements and translate them into system configurations.
• Design and test transportation workflows, routing logic, rate management, and carrier communication.
• Support system integration with WMS, OMS, and third-party logistics systems using APIs and microservices.
• Troubleshoot, debug, and resolve functional and technical issues related to MATM.
• Assist in upgrades, patching, and ongoing system enhancements within the Manhattan Active cloud environment.
• Support end-user training, documentation, and change management activities.
• Monitor system performance and suggest continuous improvements in processes and configurations.

Required Skills & Experience:

• Minimum 4 years of experience with Manhattan Active Transportation Management (or Manhattan TMS with recent transition to Active).
• Proven knowledge of cloud-native TMS architecture, microservices, and REST APIs.
• Strong understanding of transportation operations across TL, LTL, parcel, and intermodal.
• Experience with transportation optimization, rating engines, and carrier selection.
• Hands-on experience with workflow configuration in Manhattan Active TMS.
• Familiarity with JIRA and SaaS environments.
• Ability to translate business needs into functional specifications and configuration logic.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

• Experience integrating MATM with other Manhattan Active modules (e.g., WMS, OMS).
• Familiarity with JSON, Postman, API calls, and cloud integration tools.
• Knowledge of EDI messages (204, 214, 990, 210) and TMS-related data formats.
• Previous experience in a high-volume retail, 3PL, or manufacturing environment

Role Summary:

We are looking for a hands-on Java Solution Architect to design and lead scalable, secure, event-driven platforms. The ideal candidate has deep expertise in Java/Spring Boot microservices, Kafka, Redis/KeyDB, and open-source databases (Cassandra, PostgreSQL), with experience building high-throughput, low-latency systems.

Experience- 10+yrs

Key Responsibilities

• Architecture & Design
• Define service boundaries using DDD; create service contracts and API specifications.
• Design Kafka-based event flows (topics, partitions, retention, DLQs, idempotency).
• Choose fit-for-purpose storage (Cassandra vs PostgreSQL) for workloads:
• Cassandra for time-series, high write throughput, and horizontal scaling.
• PostgreSQL for transactional integrity, complex joins, and reporting.
• Engineer caching strategies using Redis/KeyDB (read-through/write-through, TTL, eviction).
• Establish NFRs (performance, availability, RPO/RTO) and capacity planning.
• Security & Compliance
• Implement OAuth2/OIDC, mTLS, token-based auth, key rotation, encryption at rest/in transit.
• Work with InfoSec/AppSec for threat modeling, VAPT, secure SDLC integration.
• DevOps & Observability
• Drive CI/CD pipelines (blue/green/canary), container orchestration (Kubernetes).
• Define SLOs/SLIs; implement metrics, logs, traces; promote proactive alerting.
• Governance & Standards
• Publish architecture guidelines, coding standards, and API governance (versioning, deprecation).
• Champion documentation (ADR, sequence diagrams, data flow, runbooks).
• Mentoring & Leadership
• Coach engineers; conduct design/code reviews; lead PoCs and migrations.
• Collaborate with Product/Delivery to align scope, timelines, and risk mitigation.

Required Technical Skills (Deep Expertise)

• Java: Java 17+, Spring Boot, Spring Cloud, reactive programming (WebFlux).
• Microservices: API Gateway, service mesh (Istio/Linkerd), resilience (Resilience4j).
• Kafka: Kafka Connect, Streams, consumer lag management, schema registry (Avro/JSON).
• Redis/KeyDB: Cluster configuration, HA, persistence (AOF/RDB), pub/sub and streams.
• Databases:
• Cassandra: Data modeling (partition keys, clustering), consistency levels, compaction strategies.
• PostgreSQL: Indexing strategies, partitioning, query planning, isolation levels, VACUUM.
• Cloud & Infra: Docker, Kubernetes, Helm/Terraform; AWS/Azure/GCP (EKS/AKS/GKE).
• Observability: Prometheus, Grafana, ELK/EFK, OpenTelemetry.
• Security: JWT, mTLS, secrets management (Vault/KMS), OWASP Top 10, compliance-aware design.

Soft Skills

• Strong stakeholder communication; ability to simplify complex technical decisions.
• Ownership mindset; risk identification and mitigation.
• Mentorship; collaborative leadership across cross-functional teams.

1 Role** Dynatrace Admin

2 Required Technical Skill Set**Knowledge on monitoring tools like Dynatrace

3 Desired Experience Range** 4- 8 Yrs

4 Location of Requirement Chennai / Hyderabad

5 Keywords Mandatory Skills:

• Component Management

• Upgrades

• OneAgent Deployment

• ActiveGate Configuration

• Real User Monitoring (RUM)

• Extensions

• DQL (Dynatrace Query Language)

• APIs

• Log Monitoring

• Cloud Integrations

Key Responsibilities :

1-Responsible for capturing/measuring and analysing Performance using tools Dynatrace Matomo

2-Administration, Installation, Configuration of dashboards, Alerts, and Metric grouping experience 3-Accurately define an issue and can interpret and design a resolution based on deep product knowledge

4-Identify key Business Modeling integration opportunities around automation, reporting, alerting, dashboards and any third part tool integration

Technical Experience : 1-Experience with Dynatrace and Matomo Tool with admin capabilities along with clear understanding of architectural concerns of a modern containerized, micro-service environment Should be able to develop proactive alerting: data, logging, monitoring thresholds along with Capacity Modeling, Forecasting and Analytics Charting Excellent conceptual knowledge and experience on different monitoring capabilities Knowledge on APM - Real End User Experience, Code Level Diagnostics, Synthetic Monitoring.

Techtinium is looking for an ambitious Senior Full Stack Developer to join our team in Chennai. You will be part of a cross-functional team responsible for developing new features and functionality for an asset management SaaS platform — including integrations, performance work, and ongoing maintenance.

You will work closely with the Head of Product, CTO, and UI/UX designer to deliver high-quality solutions that meet customer expectations.

This is a role with real influence - you will contribute to platform architecture decisions and have an opportunity to shape

the long-term technical direction of the product.

Key Responsibilities

● Collaborate with UI/UX designers, the Head of Product, and CTO to translate

customer requirements into production-ready implementations

● Drive development of new platform features and functionality end-to-end

● Contribute to architectural discussions and actively improve the platform's

technical foundations

● Build and maintain integrations with third-party services and APIs

● Write clean, modular, loosely coupled code with an emphasis on quality and

long-term maintainability

● Participate in code reviews and uphold engineering best practices across the

team

● Take ownership of implementation projects independently when required

Required Skills

● Excellent command of PHP, Go, and modern JavaScript — particularly Remix /

React Router

● Strong proficiency in TypeScript and CSS / CSS preprocessors

● Solid understanding of OOP and functional programming patterns

● Excellent knowledge of RESTful API design and GraphQL

● Strong working knowledge of PostgreSQL and relational database design

● Strong experience with Git and version management workflows

● Experience with event buses such as Apache Kafka or RabbitMQ

● Hands-on experience with Docker and Kubernetes

● Excellent written and oral communication skills in English

Desired Skills

● Experience with PHP frameworks: Laravel, Symfony, or Slim

● Familiarity with SSO and OAuth implementation

● Working experience with Linux environments

● CI/CD experience

● Comfortable with agile methodologies and iterative delivery

Who you are

● You are motivated by quality and customer satisfaction — you care how the work

lands, not just that it ships

● You are passionate about writing modular, maintainable, loosely coupled code

● You are a fast learner who applies new knowledge to improve existing systems

rather than starting from scratch

● You are a collaborative team player, yet fully capable of independently driving a project to completion

About Techtinium

Techtinium is a product engineering company helping customers across the globe build technology products that serve millions of users. We design, build and deploy software and AI products across a range of industries including manufacturing, enterprise, healthcare, e-commerce, and digital content. Over the years, some of our client engagements have grown into dedicated product companies of their own. We are a team of expert product designers, developers and research engineers working with customers across the globe, giving us an opportunity to experience diverse industries, cultures, and ways of thinking.

At BigThinkCode, we build innovative technology solutions that solve complex enterprise challenges. We are looking for a highly skilled Go/Golang Engineer who thrives in building low-latency, distributed systems and enjoys working on security sensitive platforms.

This role offers the opportunity to work on cutting-edge SaaS platforms, building scalable backend systems that operate in demanding environments requiring high reliability, security, and performance.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 4 - 6 years

Work location: Chennai

Joining time: Immediate – 4 weeks

Work Mode: Work from office / Hybrid

Must have skills:

• Hands on expertise in Go / Golang, low-latency routing, distributed systems.
• Experience designing and troubleshooting low-latency applications.
• Experience in enterprise software deploy / developing SaaS application is a plus
• Event drive architecture (EDA) microservices project experience is a plus.
• Additional programming knowledge: Typescript or NodeJS or Python
• Hands on experience using docket containers and Kubernetes.
• Aware about Observability, Asynchronous and Loose Coupling.
• Familiar with deep knowledge on infrastructure and customer application deployment
• Work with message brokers and streaming technologies such as Kafka, or similar event-driven platforms.

A skilled Go/GoLang Developer with 4–6 years of experience in building scalable applications using event-driven architecture within distributed systems. The ideal candidate should be comfortable in low level programming, high-performance backend services and have a strong understanding of Observability, asynchronous programming patterns.

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems.

Required Skills

• 4+ years of hands-on experience with Go / Golang
• Strong engineer with security-sensitive, correctness-critical code paths
• Engineer worked on SAAS / On-prem environment
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Ideal Candidate:

We are looking for engineers who:

• Have strong ownership mindset and platform thinking.
• Can balance correctness, performance, and simplicity under pressure.
• Are comfortable making architectural decisions in distributed environments.
• Use AI-assisted development tools effectively while maintaining engineering judgment.
• Can distinguish robust production-grade solutions from generated boilerplate code.
• Have experience supporting SaaS, hybrid-cloud, or on-premise deployments.

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• GHI cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Job Title: Full Stack Developer (ReactJS + NodeJS)

Experience: 6–8 Years

Job Description

We are looking for an experienced Full Stack Developer with expertise in ReactJS, NodeJS, TypeScript, Redux, and PostgreSQL to design, develop, and maintain scalable web applications. The ideal candidate should have strong front-end and back-end development skills, experience building RESTful APIs, and knowledge of Agile development practices. Experience with Java is an added advantage.

Key Responsibilities

• Design, develop, test, and deploy full-stack web applications.
• Build responsive UI components using ReactJS, TypeScript, and Redux.
• Develop and maintain scalable backend services and RESTful APIs using NodeJS.
• Design and optimize PostgreSQL databases, queries, and stored procedures.
• Ensure application performance, security, scalability, and code quality.
• Participate in code reviews, debugging, troubleshooting, and performance optimization.
• Implement and maintain CI/CD pipelines and development best practices.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Support and enhance existing Java applications when required.

Required Skills

• ReactJS
• NodeJS
• TypeScript
• Redux
• PostgreSQL
• REST APIs
• HTML, CSS, JavaScript
• CI/CD
• Git
• Agile/Scrum

Preferred Skills: Java, Microservices, Docker, Kubernetes.

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Role: Core Java Developer

Location: Bangalore. Chennai, Hyderabad, & Kolkata.

Experience: 8 years

Employment Type: Full-time with NAM Info Pvt Ltd (Payroll)

Skills required:

Strong expertise in Java| Spring Boot| Microservices| and REST API development for building scalable enterprise applications.

Proficient in Angular/React| JavaScript| HTML| and CSS for modern responsive user interfaces.

Strong experience in Functional| Performance| and automation Testing Experienced with SQL/NoSQL databases| including data modelling | query optimization| and integration.

Hands-on experience with AWS/Azure| Docker| Kubernetes| and CI/CD pipelines for cloud-native development.

Knowledge of Agile methodologies| testing frameworks| security standards| and software design principles to deliver high-quality solutions.

Role: GCP Data Engineer

Location: Bangalore. Chennai, Noida, Pune, Hyderabad

Experience: 5 years

Primary skills: Python, NOSQL, GCP concepts like Airflow, Big Query & Spanner, DAG, Composer for large dataset, Tidal tool

Role Descriptions:

Design| build| and maintain scalable data pipelines to support analytics| ML| and operational reporting.

Develop robust data ingestion| transformation| and integration workflows using Python| SQL| and modern data engineering frameworks.

Work with Google Cloud Platform (GCP) services| including Cloud Storage| Dataflow| PubSub| BigQuery| Cloud Spanner and Cloud Functions

Experience building data pipelines or backend data workflows using Python or similar languages

Job Title: Control-M Administrator (L1 Production Support)

Experience: 2–5 Years

Job Description

We are looking for a Control-M Administrator with experience in production support and batch operations. The candidate will be responsible for monitoring Control-M job schedules, performing L1 incident triage, troubleshooting batch failures, and ensuring smooth execution of critical business processes across enterprise applications.

Key Responsibilities

• Monitor and manage Control-M batch jobs, schedules, job failures, reruns, and workflow dependencies.
• Perform L1 troubleshooting for production incidents using logs, metrics, and monitoring tools, and escalate issues to L2 teams with detailed analysis.
• Support production environments involving MSSQL, MySQL, Redis, RabbitMQ/Kafka, REST APIs (HTTP 4xx/5xx), and Azure AKS.
• Monitor application health, order processing, payment workflows, and infrastructure alerts to ensure SLA compliance.
• Create and maintain runbooks, SOPs, and operational documentation.
• Coordinate with cross-functional teams to resolve production issues and support change, incident, and problem management.
• Track operational KPIs, prepare reports, and contribute to process improvement initiatives.

Required Skills

• Control-M Administration & Batch Scheduling
• Production/Application Support
• Incident & Problem Management
• MSSQL, MySQL, Redis
• RabbitMQ / Kafka
• REST API Monitoring & Troubleshooting
• Azure AKS (Basic Knowledge)
• Log Analysis & Monitoring Tools
• Good Communication and Stakeholder Management
• Willingness to work in 24×7 rotational shifts

Greetings from NAM Info Pvt Ltd,

We have an opportunity for the position below. Please go through the job description.

Skills: Cognos TM1

Location: Mumbai, Chennai, Bangalore, & Hyderabad

Client: TCS

Employment Type: Full Time with NAM Info Pvt Ltd (Payroll)

Experience: 6+

Required Skills:

• Experience in TM1 server maintenance and Administration| Advanced Turbo Integrator(TI) scripting
• Extensively worked on Rules to apply business rules to a cube
• Experience in scheduling Turbo Integrator process using Chores
• Expert in implementing dynamic security at all levels of TM1 objects along with TM1 WEBSHEETS and Perspectives.
• Extensively worked on C Visual Basics ASP.net PLSQL XML with VBA scripting Oracle Database 12cR2 RHEL 7.0 - 7.6 with Linux scripting.

SQL Server Database Administrator (SQL DBA) – L3 Support

Must attended F2F interview Chennai Location on 24th July 2026

Experience Required

• 5–8 years of relevant experience
• Strong production support experience in enterprise environments

Mandatory Skills

• Microsoft SQL Server 2016/2019/2022
• SQL Server DBA Administration
• T-SQL
• Database Administration
• Performance Tuning
• Backup & Recovery
• Always On Availability Groups
• SQL Server Agent
• SSIS
• Query Optimization
• Index Management
• Disaster Recovery (DR)

Preferred Skills

• Azure SQL
• Database Migration to Azure
• SSRS
• Replication
• Log Shipping
• Failover Clustering

Key Responsibilities

• Administer and support SQL Server databases across Production and Non-Production environments.
• Perform SQL Server installation, configuration, patching, upgrades, and maintenance.
• Manage backup, restore, recovery, and disaster recovery activities.
• Monitor and optimize database performance.
• Configure and support Always On Availability Groups.
• Handle replication, log shipping, and failover clustering.
• Troubleshoot database issues and resolve production incidents.
• Support database migration activities, including Azure migration projects (optional).
• Participate in on-call production support rotations.

Applicants must read the JD and understand the JD throughly

Job Title: Database & DevOps Engineer

Location: Chennai, Tamil Nadu (On-site/Hybrid)

Experience: 2+ years -

Job Summary

We are looking for a skilled Database & DevOps Engineer with 2+ years of hands-on experience in database administration, cloud infrastructure, CI/CD pipelines, automation, and AI application deployment. The role involves managing database and infrastructure environments, automating deployments, supporting AI/LLM workloads, and ensuring high availability, security, performance, and scalability.

Key Responsibilities

Database Management

• Install, configure, monitor, and maintain SQL and NoSQL databases.

• Manage database backup, recovery, replication, and disaster recovery.

• Optimise performance through indexing, query tuning, and monitoring.

• Ensure database security, integrity, and availability.

• Troubleshoot database issues and provide timely resolutions.

DevOps, Infrastructure & AI Operations

• Design, implement, and maintain CI/CD pipelines.

• Automate infrastructure provisioning using Infrastructure as Code tools.

• Deploy and manage applications across cloud and on-premises environments.

• Configure and maintain containerised applications using Docker and Kubernetes.

• Deploy and support AI/ML, LLM, RAG, and agentic AI applications.

• Configure and manage GPU-enabled infrastructure for AI workloads.

• Support model serving, vector databases, and AI application APIs.

• Monitor application, infrastructure, and AI-service performance, including availability, latency, resource utilization, and failures.

• Maintain Linux servers and automate routine operational tasks.

• Implement secure management of credentials, secrets, model endpoints, and data access.

• Collaborate with development and AI teams to streamline deployment and release processes.

Mandatory Skills

• 2+ years of hands-on experience in Database Administration and DevOps.

• Strong knowledge of MySQL, PostgreSQL, Microsoft SQL Server, and MongoDB.

• Experience with database backup, restoration, replication, indexing, query optimization, and performance monitoring.

• Hands-on experience with Git and CI/CD tools such as Jenkins, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Experience with AWS, Azure, or GCP.

• Knowledge of Terraform and Ansible.

• Strong Linux administration and shell-scripting skills.

• Experience with Prometheus, Grafana, ELK Stack, or Nagios.

• Working knowledge of networking, security, SSL/TLS, and load balancing.

• Understanding of LLMs, RAG, embeddings, vector databases, and agentic AI architecture.

• Experience deploying Python-based AI/ML services and APIs.

• Familiarity with model-serving tools such as llama.cpp, vLLM, Ollama, Hugging Face, or equivalent.

• Knowledge of GPU-enabled environments, NVIDIA drivers, CUDA, and containerized AI deployment.

• Understanding of AI/LLM observability, model versioning, security, scaling, and rollback.

• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

• Cloud, DevOps, Linux, database, or Kubernetes certifications are an advantage.

Technical Stack

• Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB and vector databases

• Cloud: AWS, Azure, GCP.

• CI/CD: Jenkins, GitLab CI/CD, Azure DevOps

• Containers and IaC: Docker, Kubernetes, Terraform, Ansible

• Monitoring: Prometheus, Grafana, ELK Stack, Nagios

• AI Infrastructure: Python APIs, LLM serving, RAG, embeddings, vector search, GPU/CUDA

• Operating Systems: Linux—Ubuntu, CentOS, Red Hat

Soft Skills

• Excellent communication and collaboration skills.

• Strong ownership and accountability.

• Ability to work effectively in a fast-paced Agile environment.

• Proactive approach to troubleshooting and continuous improvement.

• Ability to manage multiple priorities and deliver on time.

Very strong infra engineer to administer Linux based VMs (and few Windows VMs as well).

Must have strong knowledge and hands-on on docker, Kubernetes

Must be good at monitoring (AppDynamics, Prometheus, Grafana) and logging (Splunk)

Develop automation scripts using Shell and Python. Must have good knowledge in Ansible.

Should be good at optimize/finetune server configurations.

 Should be good in troubleshoot issues and fix them.

Position: SFCC + PWA Developer

Experience: 2.5 to 5 Years

Salary: Up to 12 LPA

Employment: Direct Payroll – Haparz

Location: Chennai, Bangalore, Hyderabad, Pune & Gurgaon

Work Mode: Hybrid (3 Days Work From Office)

Role Overview

We are looking for an experienced SFCC + PWA Developer to build and enhance modern eCommerce storefronts using Salesforce Commerce Cloud (B2C) and Progressive Web App (PWA) technologies. You will be responsible for developing scalable, high-performing, and mobile-first commerce experiences while collaborating with cross-functional teams to deliver seamless customer journeys.

Roles & Responsibilities

• Develop, customize, and maintain Salesforce Commerce Cloud (SFCC B2C) storefront applications.
• Build and enhance headless storefronts using Salesforce PWA Kit and modern JavaScript frameworks.
• Develop custom SFCC cartridges and integrate business functionalities.
• Implement REST API integrations using OCAPI and SCAPI.
• Build responsive, mobile-first user interfaces with a focus on performance and usability.
• Optimize storefront performance, SEO, and Core Web Vitals.
• Integrate payment gateways and third-party services.
• Configure and customize catalog, promotions, pricing, and search functionalities.
• Collaborate with UI/UX designers, backend developers, and integration teams.
• Participate in code reviews, deployments, production support, and bug fixes.

Required Skills

• 2.5–5 years of overall development experience.
• Minimum 1+ year of hands-on Salesforce Commerce Cloud (B2C) experience.
• Strong experience with Storefront Reference Architecture (SFRA).
• Experience with Controllers, ISML templates, custom cartridges, and OCAPI/SCAPI.
• Exposure to legacy Pipelines is an advantage.
• Strong experience implementing Progressive Web Applications (PWA).
• Experience with React (preferred), Vue.js, or Angular.
• Hands-on experience with Salesforce PWA Kit and headless commerce architecture.
• Knowledge of Service Workers, Webpack, and Node.js.
• Experience integrating REST APIs.
• Good understanding of SEO optimization, performance tuning, and responsive web development.

Looking for an experienced Teamcenter Lead Developer with expertise in Teamcenter customization, configuration, integration, and PLM solutions. The candidate should have strong experience in ITK, SOA, RAC, BMIDE, Teamcenter integrations, and enterprise system connectivity.

Job Description

Key Skills: 

Configure Teamcenter modules, workflows, and lifecycles as per business needs.

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Proficiency in C, C++, Java, JavaScript, XML, and SOA for Teamcenter development.

Collaborate with cross-functional teams, including engineering, manufacturing, and IT to ensure seamless PLM solutions.

Integrate Teamcenter with CAD (NX, CATIA, SolidWorks, etc.), ERP (SAP, Oracle), and other enterprise systems.

Troubleshoot and resolve Teamcenter application issues in a timely manner.

Provide training and mentorship to junior team members.

Mandatory Skills:

Develop and customize ITK, SOA, RAC, and BMIDE solutions.

Desired Skills:

Active Workspace configuration

Work on Teamcenter data migration, deployment, and performance optimization.

Knowledge in AI tools and AI capabilities of Teamcenter OOTB

Skills & Requirements

Teamcenter, ITK, SOA, RAC, BMIDE, Active Workspace, Teamcenter Configuration, Teamcenter Workflows, Lifecycle Management, Data Migration, Deployment, Performance Optimization, C, C++, Java, JavaScript, XML, CAD Integration, NX, CATIA, SolidWorks, SAP, Oracle, PLM, AI Tools, Teamcenter AI Capabilities

Role Summary

We are hiring a Data Engineer / ML Data Pipeline Engineer to build and operate the data backbone of the Enterprise AI platform:

What You'll Own

• Ingestion & ETL/ELT pipelines for heterogeneous project folders (PDF drawings, SVG files, IFC models, BBS.json bar-bending-schedule data, Excel exports, and AI agent output JSON).
• AWS-based data architecture: S3 raw/staging/curated/outputs structuring, partitioning, versioning, and lifecycle management; querying via Athena/Glue and warehousing via Redshift or Snowflake as needed.
• Data validation frameworks: GUID cross-referencing between SVG and BBS data, schema enforcement, duplicate/orphan detection, reference integrity checks, and structured validation reporting.
• Agent run logging & observability: designing the database schema and pipelines that track every AI agent run (inputs, outputs, status, errors, cost, retries, reviewer feedback).
• AI Factory monitoring dashboards: operational dashboards (failure rates, retries, latency, data quality) and business dashboards (throughput, cost per run, rework rate) for Power BI/QuickSight or equivalent.
• ML data pipeline support: dataset preparation, labeling/annotation workflows, human-in-the-loop review tooling, and dataset versioning for models that classify or QC drawing issues.
• APIs: designing and building FastAPI/Flask endpoints to trigger validation runs and expose agent processing status to internal tools.
• Data quality & testing discipline: idempotent pipelines, quarantine/reject handling, regression and reconciliation testing, and root-cause debugging when pipelines or query performance degrade in production.

Key Skills — Non-Negotiable (Must-Have, Strong Level)

• Python — production-grade scripting: file/folder handling, JSON/schema processing, clean error handling, not just notebook-level scripting.
• SQL — strong hands-on ability, including GROUP BY/HAVING for duplicate detection, window functions, and daily aggregate/rate calculations (e.g., success-rate queries).
• AWS S3 data handling — practical experience structuring buckets for raw/staging/curated data, versioning, and avoiding overwrite issues at scale.
• Data validation — demonstrable experience building validation logic (set comparisons, duplicate/missing detection, structured pass/fail reporting), not just "I write assertions."
• ETL/ELT pipeline design — end-to-end ownership of at least one pipeline: source → transform → storage → validation → monitoring → business outcome, with clear articulation of what they personally built.
• Query/warehouse engine judgment — working knowledge of when to use Athena vs. Redshift vs. Snowflake (or equivalent), partitioning, clustering, sort/distribution keys, and storage format trade-offs (Parquet vs. JSON vs. CSV).

Key Skills — Good to Have

• Dashboarding — Power BI / QuickSight (or equivalent) fact/dimension table design, KPI cards, drill-downs; medium-to-strong level is a plus but trainable.
• FastAPI / Flask — building real endpoints with request/response schemas and basic error handling; especially valuable for validation-trigger and agent-status APIs.
• ML data pipeline experience — dataset labeling, annotation platform design, train/test/validation splitting, dataset versioning; strong on the pipeline/data side rather than model training itself.
• Human-in-the-loop / review tooling — experience building or contributing to browser-based labeling/review platforms (session persistence, label schema, export formats).
• Large-scale metadata querying — experience making file discovery fast across large volumes (1,000+ projects, thousands of files each) via metadata index tables, event-based ingestion, or catalog tools like AWS Glue.

Job Summary

We are looking for a skilled Windows Administrator with hands-on experience in cloud technologies to manage, maintain, and optimize Windows server environments across on-premises and cloud infrastructure. The ideal candidate should have strong expertise in Windows Server administration, Active Directory, virtualization, cloud platforms, and infrastructure automation.

Key Responsibilities

• Install, configure, and maintain Windows Server environments.
• Manage Active Directory, Group Policy, DNS, DHCP, and IIS.
• Administer Microsoft 365 and Azure Active Directory (Entra ID).
• Deploy, manage, and monitor cloud infrastructure on Microsoft Azure (AWS knowledge is an added advantage).
• Perform server patching, upgrades, and security hardening.
• Monitor server performance, availability, and system health.
• Configure and manage virtual environments using VMware or Hyper-V.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot Windows OS, server, networking, and cloud-related issues.
• Automate routine administrative tasks using PowerShell.
• Manage storage, file servers, and permissions.
• Collaborate with infrastructure, security, and application teams for project implementation.
• Maintain technical documentation, SOPs, and operational procedures.

Required Skills

• Strong experience with Windows Server 2016/2019/2022.
• Hands-on experience with Active Directory, DNS, DHCP, Group Policy, and IIS.
• Experience with Microsoft Azure, Azure Virtual Machines, Azure Storage, Azure Networking, and Entra ID.
• Knowledge of Microsoft 365 administration.
• Good understanding of VMware or Hyper-V virtualization.
• Experience with PowerShell scripting and automation.
• Knowledge of Windows security, patch management, and endpoint management.
• Understanding of networking concepts (TCP/IP, VPN, Firewall, Load Balancer).
• Familiarity with monitoring tools and backup solutions.

Preferred Skills

• Experience with AWS is an advantage.

Job description:

Role: Pega Developer

Experience: 3–6 Years

Location: Chennai / Bangalore / Hyderabad / Pune / Gurgaon

Work Mode: Hybrid

Employment Type: Direct Contract with Haparz

Budget: Up to 18 LPA

We are looking for a skilled Pega Developer with hands-on experience in enterprise application development, workflow automation, integrations, and background processing within the Pega Platform. The ideal candidate should have strong technical expertise in Pega case management, APIs, Kafka integrations, SQL, and troubleshooting complex applications in an agile environment.

Key Responsibilities

• Design, develop, and enhance applications using the Pega Platform
• Build scalable workflow automation and case management solutions
• Work on background processing components including Queue Processors, Job Schedulers, and Agents
• Develop and maintain integrations using REST/SOAP APIs and Kafka
• Write and optimize SQL queries and database interactions
• Perform API testing and validation using Postman
• Troubleshoot application issues, debug defects, and improve performance
• Collaborate with business, QA, and technical teams for requirement analysis and delivery
• Participate in code reviews, deployment activities, and production support
• Follow best practices for coding, security, and application performance

Required Skills

• Strong hands-on experience in Pega Development
• Expertise in Pega Case Management & Integrations
• Experience with Queue Processors, Job Schedulers, and background processing
• Knowledge of Kafka and event-driven integrations
• Strong SQL and database skills
• Experience with REST/SOAP APIs and Postman
• Understanding of Agile/Scrum methodology
• Good communication and stakeholder management skills

Preferred Skills

• Pega Certifications – CSA / CSSA / LSA
• Exposure to CI/CD pipelines and Git
• Knowledge of cloud environments and microservices architecture

Job Description – MarTech Integration Engineer (Braze Development)

Job Title: MarTech Integration Engineer

Experience: 5–9 Years

Location: Chennai | Bangalore | Hyderabad | Pune | Gurgaon (Hybrid – 2 Days WFO)

Employment Type: Direct Payroll of Haparz

About the Role

We are looking for a MarTech Integration Engineer with strong expertise in Braze Development, Braze Operations, and Backend Development to build and support enterprise-scale customer engagement solutions.

The ideal candidate should have hands-on experience developing Braze integrations, implementing SDKs, building backend services and APIs, instrumenting customer events, and managing day-to-day Braze operations including Canvas journeys, audience segmentation, campaign execution, and personalization.

You will collaborate with Product, Marketing, Engineering, and Data teams to deliver scalable, data-driven customer experiences by integrating Braze with CDP platforms, Databricks, and backend applications.

Roles & Responsibilities

• Develop, enhance, and maintain enterprise-grade Braze integrations.
• Implement and configure Braze SDKs across web and desktop applications.
• Build backend services and REST APIs to support Braze integrations and customer engagement workflows.
• Own Braze Operations including campaign setup, Canvas journeys, audience segmentation, message scheduling, and campaign execution.
• Design and implement event tracking, user attributes, custom events, and session instrumentation.
• Configure multi-channel campaigns across Email, Push Notifications, and In-App Messaging.
• Develop dynamic customer journeys using Braze Canvas.
• Implement Connected Content, Liquid Templates, REST APIs, and Webhooks for personalized messaging.
• Design scalable event schemas and customer data models.
• Build SQL queries and data models in Databricks for audience creation and campaign targeting.
• Integrate Braze with Hightouch or similar Reverse ETL/CDP platforms.
• Support A/B testing, multivariate testing, and campaign performance optimization.
• Monitor campaign health, event delivery, and integration reliability.
• Collaborate with Product, Marketing, Data Engineering, and Backend teams to translate business requirements into technical solutions.
• Ensure data privacy, consent management, and customer identity resolution across platforms.

Job Summary

We are looking for an experienced Defender Antivirus Engineer with 3–8 years of experience in endpoint security and Microsoft security solutions. The ideal candidate should have strong hands-on experience with Microsoft Defender, Microsoft Sentinel, Intune, and Office 365 to manage enterprise endpoint protection, security monitoring, device management, and incident response. The candidate will play a key role in ensuring the organization's security posture through proactive monitoring, threat detection, and endpoint compliance.

Key Responsibilities

• Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
• Manage endpoint devices, policies, and compliance using Microsoft Intune.
• Administer and support Microsoft 365 (Office 365) services, including security configurations.
• Monitor security alerts, investigate incidents, and perform root cause analysis.
• Perform vulnerability assessments and coordinate remediation activities.
• Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
• Implement security best practices for endpoint and cloud environments.
• Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
• Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

• Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Experience administering Microsoft Sentinel (SIEM/SOAR).
• Good knowledge of Microsoft Intune for endpoint and device management.
• Experience with Microsoft 365 / Office 365 Administration.
• Knowledge of endpoint security, threat detection, and incident response.
• Experience with security monitoring, vulnerability management, and compliance.
• Good understanding of Windows Server and Windows endpoint administration.
• Strong troubleshooting and analytical skills.
• Excellent communication and problem-solving abilities.

   At BigThinkCode, we build innovative technology solutions that solve complex enterprise challenges. We are looking for a highly skilled Go/Golang Engineer who thrives in building low-latency, distributed systems and enjoys working on security sensitive platforms.

This role offers the opportunity to work on cutting-edge SaaS platforms, building scalable backend systems that operate in demanding environments requiring high reliability, security, and performance.

Please find below our job description, if interested apply / reply sharing your profile to connect and discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 3-6 years

Work location: Chennai

Joining time: Immediate – 4 weeks

Work Mode: Work from office / Hybrid

Must have skills:

• Hands on expertise in Go / Golang, low-latency routing, distributed systems.
• Experience designing and troubleshooting low-latency applications.
• Experience in enterprise software deploy / developing SaaS application is a plus
• Event drive architecture (EDA) microservices project experience is a plus.
• Additional programming knowledge: Typescript or NodeJS or Python
• Hands on experience using docket containers and Kubernetes.
• Aware about Observability, Asynchronous and Loose Coupling.
• Familiar with deep knowledge on infrastructure and customer application deployment
• Work with message brokers and streaming technologies such as Kafka, or similar event-driven platforms.

A skilled Go/Golang Developer with 3–6 years of experience in building scalable applications using event-driven architecture within distributed systems. The ideal candidate should be comfortable in low level programming, high-performance backend services and have a strong understanding of Observability, asynchronous programming patterns.

Experience or exposure to knowledge embedding and vectorization techniques is a strong plus, especially in the context of modern data-driven or AI-powered systems.

Required Skills

• 4+ years of hands-on experience with Go / Golang
• Strong engineer with security-sensitive, correctness-critical code paths
• Engineer worked on SAAS / On-prem environment
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Ideal Candidate

We are looking for engineers who:

• Have strong ownership mindset and platform thinking.
• Can balance correctness, performance, and simplicity under pressure.
• Are comfortable making architectural decisions in distributed environments.
• Use AI-assisted development tools effectively while maintaining engineering judgment.
• Can distinguish robust production-grade solutions from generated boilerplate code.
• Have experience supporting SaaS, hybrid-cloud, or on-premise deployments.

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Head of Growth and Operations

Organisation Overview

Cyces Innovation Labs LLP is an AI-first technology company specializing in product engineering, software development, data engineering, and applied AI solutions. Having partnered with 150+ organizations globally, we help startups, enterprises, and government bodies build scalable digital products, automate workflows, and drive business growth through technology. Our team of engineers, designers, and innovators combines strong engineering principles with product thinking to deliver impactful solutions across industries.

Location: Chennai (Work from office) 

Job Overview

We are seeking a strategic and results-oriented Head of Growth and Operations to lead and oversee our Website and SEO Managed Services division - Freshboost. This is a leadership role responsible for driving operational excellence, managing cross-functional teams, ensuring exceptional client delivery, and contributing to the overall growth and success of the business unit.

The Head of Growth and Operations will be accountable for the performance of Account Management, SEO, and Website Services teams, ensuring the successful delivery of client engagements while maintaining high standards of quality, efficiency, and customer satisfaction. The ideal candidate will possess strong leadership capabilities, commercial awareness, and a solid understanding of SEO, website development, digital marketing, Webflow, and WordPress.

Responsibilities

• Lead and manage the Website and SEO Managed Services division, ensuring alignment with organizational goals and business objectives.
• Provide leadership, guidance, and mentorship to Account Managers, SEO Specialists, Webflow Developers, WordPress Developers, and other team members.
• Own the end-to-end delivery of client services, ensuring projects and ongoing engagements are executed efficiently and successfully.
• Establish and monitor departmental goals, KPIs, and performance metrics to drive operational excellence and business growth.
• Ensure high levels of client satisfaction through proactive communication, effective stakeholder management, and quality service delivery.
• Act as the primary escalation point for delivery challenges, client concerns, and operational issues.
• Drive resource planning, workforce allocation, and capacity management across multiple teams and client accounts.
• Develop and implement scalable processes, workflows, and best practices to improve efficiency, productivity, and service quality.
• Collaborate with senior leadership to define delivery strategies, growth initiatives, and service improvement plans.
• Review team performance regularly and foster a culture of accountability, collaboration, and continuous improvement.
• Oversee the successful execution of SEO, website development, website maintenance, and digital marketing initiatives.
• Analyze business performance, client outcomes, and operational data to identify opportunities for improvement and expansion.
• Partner with sales and business development teams to support client acquisition, solution design, and service expansion opportunities.
• Identify risks to project delivery and implement mitigation strategies to ensure business continuity and client success.
• Drive employee engagement, talent development, succession planning, and team capability building within the division.
• Ensure adherence to company standards, service commitments, and delivery timelines across all client engagements.
• Stay informed about industry trends, emerging technologies, and market developments to continuously enhance service offerings.

Qualifications

• Bachelor's degree in Business Administration, Marketing, Digital Marketing, Information Technology, Communications, or a related field.
• Minimum 5 years of professional experience in digital services, managed services, digital marketing, website operations, or related fields.
• Minimum 2 years of proven experience in a leadership, managerial, or delivery management role.
• Demonstrated experience leading and managing high-performing cross-functional teams.
• Strong understanding of SEO, website development, digital marketing, client delivery, and account management practices.
• Working knowledge of Webflow, WordPress, website management processes, and SEO best practices.
• Proven ability to manage multiple teams, projects, and client engagements simultaneously.
• Experience establishing KPIs, managing performance, and driving operational improvements.
• Strong business acumen with the ability to balance client satisfaction, team performance, and organizational objectives.
• Excellent leadership, stakeholder management, communication, and interpersonal skills.
• Strong analytical and problem-solving capabilities with a data-driven approach to decision-making.
• Experience managing client relationships, service delivery operations, and business performance metrics.
• Ability to influence, motivate, and develop teams in a fast-paced environment.
• Experience in agency, managed services, SaaS, consulting, or technology-driven environments will be preferred.
• Familiarity with tools such as Google Analytics, Google Search Console, Ahrefs, SEMrush, project management platforms, and reporting tools will be an advantage.

Key Responsibilities

• Configure MAWM modules, rules, and workflows based on operational requirements and guidance from US/global leads.
• Perform system parameter setup, functional rule configuration, and environment preparation for testing and go-live.
• Support host–WMS integrations (OMS, TMS, WCS, MHE systems, carrier APIs) by reviewing mapping, running test transactions, and validating results.
• Assist in data setup (item, location, client, inventory profiles) to support functional testing and production readiness.
• Troubleshoot functional/system issues, working with the US team and vendor support as needed.
• Maintain configuration documentation and change logs for reference and audit purposes.
• Participate in deployment activities, including configuration migration and post-go-live support.
• Attend regular coordination calls with the US team to review tasks, priorities, and progress.

Experience & Qualifications

• 5+ years of hands-on experience in Manhattan Active WMS (MAWM) configuration and functional setup.
• Strong understanding of WMS operations in retail, e-commerce, and 3PL environments.
• Experience with Manhattan Active API ecosystem and basic ProActive extensibility features.
• Knowledge of WMS host integrations (OMS, TMS, WCS, automation systems) and EDI/integration methods.
• Familiarity with warehouse automation and MHE/WCS/WES integrations.
• Familiarity with Manhattan WMOS (Warehouse Management for Open Systems) is a plus.
• Understanding of multi-client/multi-tenant warehouse setup in MAWM added advantage.
• Ability to work in a distributed/global team environment with clear, consistent communication.

Why Join Our Client India

• Be part of a global technology team implementing cutting-edge warehouse-as-a-service solutions.
• Gain exposure to automation, AI-driven optimization, and advanced supply chain systems.
• Opportunity to enhance your MAWM skills by working on real client implementations.

Collaborative, flexible work culture with growth potential

Job Description: 

We are looking for an experienced SAP Commerce Cloud (Hybris) Developer with at least 6 years of hands-on experience in designing, developing, and implementing e-commerce solutions. The ideal candidate will work closely with cross-functional teams to enhance our SAP Commerce platform, ensuring a seamless and high-performing digital commerce experience. 

Key Responsibilities:

• Develop and customize SAP Commerce Cloud (Hybris) solutions, including B2B/B2C modules.

• Implement and optimize core commerce functionalities such as products catalogs, cart/checkout, order management, and backoffice customizations.

• Integrate SAP Commerce with SAP ERP and third-party applications.

• Troubleshoot and resolve performance and scalability issues.

• Collaborate with business analysts, designers, and other developers to translate business requirements into technical solutions.

• Ensure best practices in coding, architecture, and security.

• Maintain and upgrade existing SAP Commerce Cloud implementations.

 Requirements:

• 6+ years of experience in SAP Commerce Cloud (Hybris) development.

• Strong experience in Java, Spring Framework, and RESTful APIs.

• Proficiency in SAP Commerce extensions, accelerators, and OCC (OmniCommerce Connect).

• Hands-on experience with SAP integrations (SAP ERP, S/4HANA, SAP CPI, etc.).

• Experience with database technologies (SQL, SAP HANA, etc.).

• Knowledge of front-end technologies (JavaScript, Jquery, Bootstrap, Angular, React) is a plus.

• Strong understanding of cloud-based deployments and DevOps practices (CI/CD, Docker, Kubernetes).

• Excellent problem-solving and analytical skills.

• Experiences in any payment integration.

• B2B/B2C Migration projects to SAP Commerce from any other 3rd party Commerce Cloud Applications (Salesforce Commerce Cloud/Oracle Commerce Cloud/HCL Commerce Cloud/Commerce Tools)

• Spartacus Storefront development experience is a plus.

• Ability to work independently and in a team environment. 

Preferred Qualifications:

• SAP Commerce Cloud certification.

• Experience in microservices architecture and API management.

• Familiarity with Agile development methodologies.

Job description:

Experience: 8+ Years

Location: Chennai, Bangalore, Hyderabad, Pune & Gurgaon

Work Mode: Hybrid (3 Days Work from Office)

Budget: Up to ₹24 LPA

Notice Period: Immediate to 10 Days Preferred

Roles & Responsibilities

We are looking for an experienced Senior AEM Backend & Edge Delivery Services (EDS) Developer to design and deliver enterprise-scale digital experience platforms. This role involves building scalable AEM backend solutions, leading AEM Cloud migrations, implementing Adobe Edge Delivery Services, and optimizing high-performance web applications.

Key Responsibilities:

• Design and develop scalable backend solutions using Adobe Experience Manager (AEM).
• Build and maintain custom AEM components, templates, workflows, Sling Models, and OSGi services.
• Develop RESTful and GraphQL APIs to support headless and omnichannel content delivery.
• Architect content structures, Digital Asset Management (DAM) integrations, and content replication strategies.
• Lead end-to-end migration projects from AEM 6.5 to AEM as a Cloud Service and from AEMaaCS to Adobe Edge Delivery Services (EDS).
• Design, develop, and deploy production-ready EDS websites using block-based architecture.
• Create and optimize reusable block libraries using modern JavaScript and CSS.
• Integrate EDS with Universal Editor, Sidekick, SharePoint, Google Drive, and third-party platforms.
• Improve website performance by optimizing Core Web Vitals (LCP, CLS, and INP).
• Configure and manage Akamai CDN properties, caching strategies, EdgeWorkers, and Property Manager rules.
• Collaborate with infrastructure teams to implement security, WAF, DDoS protection, and origin failover strategies.
• Automate build and deployment pipelines using GitHub Actions and Adobe Cloud Manager.
• Define scalable technical architecture for hybrid AEM and EDS implementations.
• Perform code reviews, establish development standards, and mentor development teams.
• Work closely with architects, UX teams, and frontend developers to deliver high-quality digital experiences.
• Implement monitoring and observability solutions for production environments.

Required Skills

• Strong experience with Adobe Experience Manager (AEM 6.4/6.5 & AEM as a Cloud Service)
• Hands-on expertise in Java, OSGi, Apache Sling, JCR/Oak, HTL/Sightly, Sling Models, and WCM Core Components
• Experience building Headless AEM solutions using Content Fragments and GraphQL APIs
• Expertise in Adobe Edge Delivery Services (EDS), Franklin/Helix architecture, and production deployments
• Proven experience leading AEMaaCS to EDS migration projects
• Strong knowledge of Akamai CDN, Property Manager, EdgeWorkers, caching strategies, and Dispatcher
• Experience with GitHub Actions, Adobe Cloud Manager, Jenkins, Docker, and CI/CD pipelines
• Hands-on experience with JUnit, Mockito, and AEM Mocks
• Strong understanding of performance optimization and Core Web Vitals
• Excellent problem-solving, architecture, and stakeholder communication skills

Company Overview

Ailaysa Technologies is a fast-growing AI startup specializing in state-of-the-art technological solutions for multilingual content. We are looking for highly driven, analytical minds to join our research and strategy team.

Role Summary

As a Market Research Intern, you will play a crucial role in gathering, analyzing, and synthesizing data to provide actionable market insights. You will work closely with cross-functional leadership teams to track industry trends, map competitor strategies, and produce data-driven reports, competitor matrices, and industry white papers that influence business decisions.

Key Responsibilities

• Market Intelligence & Trend Analysis:
• Conduct extensive primary and secondary market research on industry trends, emerging technologies, and target audience behavior.
• Synthesize complex qualitative and quantitative data into structured market intelligence reports.
• Competitor Analysis & Benchmarking:
• Continuously track and evaluate key industry competitors, looking at their product features, pricing structures, marketing tactics, and market positioning.
• Build and maintain detailed competitor analysis frameworks and SWOT matrices for internal strategic reviews.
• White Paper & Thought Leadership Content:
• Assist in drafting, proofreading, and structuring deep-dive white papers, case studies, and industry insight documents.
• Conduct rigorous data validation and literature reviews to ensure technical accuracy and credibility in published documents.
• Data Aggregation & Reporting:
• Collect numbers and statistics from research databases, financial filings, and industry journals.
• Design clean, easy-to-digest data visualizations and slide decks to present findings to leadership stakeholders.

Required Skills & Qualifications

• Education: Final year student or recent graduate with a Master’s degree in Business Administration (MBA), Marketing, Economics, Statistics, Data Analytics, or a related discipline.
• Research Aptitude: Strong ability to separate high-quality data from noise using secondary research tools, industry journals, and reliable analytical frameworks.
• Analytical Thinking: Proficiency in analyzing numerical data, identifying patterns, and drawing logical, unbiased conclusions.
• Technical Writing: Exceptional written communication skills with the ability to write in an objective, professional, and structured tone (essential for white papers and reports).
• Tools: Proficient with MS Office / Google Workspace (especially Excel/Sheets for data tracking and PowerPoint/Slides for presentations). Exposure to data visualization tools (like Power BI or Tableau) is a major plus.

Key Performance Indicators (KPIs) for the Intern

• Research Accuracy: Delivery of validated, error-free competitor and market datasets.
• Document Readability: Structuring white papers and reports that require minimal structural edits from senior leadership.
• Timeline Adherence: Turning around market intelligence reports within agreed project deadlines.

What We Offer

• Mentorship: Direct exposure to product managers and strategic business leaders.
• Real Impact: Opportunity to see your research directly shape the corporate roadmap and published white papers.
• Career Growth: High potential for a Full-Time Employee (FTE) conversion based on performance during the internship.
• Stipend: Best-in-industry internship stipend.

AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .

Java Backend Developer (6–9 Years)

Mandatory Skills:

• Strong Core Java (Java 8/11/17)
• Spring Boot
• Microservices Architecture
• RESTful API Development
• Collections, Multithreading, Java 8 Streams
• SQL (Oracle/MySQL/PostgreSQL)
• JPA/Hibernate
• Git, Maven, Jenkins
• Unit Testing (JUnit/Mockito)

Good to Have:

• Kafka/Event-Driven Architecture
• Docker/Kubernetes
• Cloud (AWS/GCP/Azure)

Responsibilities:

• Design and develop scalable backend microservices.
• Build secure REST APIs for enterprise applications.
• Write clean, optimized, production-quality code.
• Debug production issues and perform code reviews.
• Work in Agile teams and contribute to CI/CD pipelines.

Experience: 6–9 Years

Location: Bangalore / Mumbai / Chennai (Hybrid)

Primary Skills: 

Observability - ELK (Elactic/Kibana), Prometheus, Grafana, PromQL

Software and automation - Java, Python/Shell/Bash, Rest-SOAP API, docker containerization, Kubernetes, Kafka

Reliability and DR engineering - Distributed architecture and distributed system fundamentals, micro services, and event-driven architecture.

Cross-team coordination, incident triage and resolution, leadership and stakeholder management.

Secondary Skills:

Lang-chain, Langraph, RAG, MCP

Experience with working on LLM's and integrating with the existing applications

Python - FastAPI

Cache - Redis

Program Details:

Design, build, and ship LLM-powered and agentic product features that enhance the team efforts and outcomes.

Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.

Work on integrating the existing AI tools and should know major AI frameworks and libraries. 

Own service reliability and operational governance by defining SLA's, managing error budgets, and reporting reliability (MTTD, MTTR) to leadership for prioritization, risk decisions and planning.

Architect and continuously optimize the observability of platform using Kibana/Elastic (ELF) along with other observability tools like Prometheus, Grafana (dashboards, metrics, alert lifecycle), improving detection quality, reducing noise/toil, and enabling faster triage and measurable uptime improvements.

Engineer advance alerting and automation capabilities with Kibana alerting and anomaly detections and integrating response workflows (routing, runbooks, remediation scripts) to standardize on-call execution and accelerate restoration of services.

Lead incident response for customer-impacting issues across teams-coordination, communications, service restoration, and blameless RCA-then corrective actions that prevent recurrence and reduce operational risk.

Design, automate and validate Disaster Recovery and failover for critical services/journeys (RTO/RPO alignment, DR Drills), ensuring resiliency under failure scenarios and improving recovery.

Consult and partner with application teams by providing production readiness inputs (Resiliency patterns, availability, performance/capacity considerations) and driving platform enhancements that improve stability while optimizing infrastructure and observability spend.

If you are interested for this role, kindly acknowledge this email with your interest.

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Key Responsibilities

• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).

• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.

• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems.

• Own model performance, reliability, and cost — from experimentation through production deployment.

• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.

• Ensure systems meet the compliance, auditability, and security standards required in regulated financial environments.

What We're Looking For

• 5+ years of experience building and deploying machine learning or AI systems in production.

• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).

• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued.

• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning).

• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background

• Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.

Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory

Key Responsibilities

Solution Design & Implementation

• Collaborate with business and finance stakeholders to gather, analyze, and document planning, budgeting, and forecasting requirements.
• Design end-to-end Oracle PBCS solutions, including data models, forms, business rules, calculations, and workflows.
• Configure PBCS applications (modules, dimensions, hierarchies, security, and metadata) in line with best practices.
• Develop and maintain input forms, dashboards, reports, and task lists to support planning and reporting processes.
• Participate in full project lifecycle activities: requirement analysis, solution design, build, testing, deployment, and post-go-live support.

Functional & Process Expertise

• Map existing financial planning and budgeting processes to Oracle PBCS capabilities and recommend process improvements.
• Design and implement driver-based planning models, rolling forecasts, and scenario planning.
• Work with finance teams to align PBCS solutions with corporate budgeting, management reporting, and financial consolidation processes.
• Provide functional guidance on integration with upstream and downstream systems (ERP, data warehouses, reporting tools).

Configuration, Testing & Documentation

• Configure business rules, calculations, allocations, and validations within PBCS.
• Support data integration and data management activities, including data loads, mappings, and validation.
• Develop and execute test scenarios and test scripts for unit testing, system integration testing, and user acceptance testing (UAT).
• Prepare functional design documents, configuration documents, user guides, and training materials.

Stakeholder Management & Support

• Serve as a primary functional point of contact for clients on Oracle PBCS-related topics.
• Conduct user training sessions and workshops to drive solution adoption.
• Provide ongoing production support, troubleshooting issues, and implementing enhancements.
• Collaborate with technical teams, project managers, and other consultants to ensure timely and quality delivery.

Governance & Continuous Improvement

• Adhere to project governance, documentation standards, and change management processes.
• Stay current with Oracle EPM Cloud / PBCS updates, new features, and industry best practices.
• Recommend continuous improvements to existing PBCS implementations to enhance performance, usability, and value.

Qualifications

• CA or MBA (Finance) from a recognized institution.
• 5+ years of overall experience, with at least 3–4 years of hands-on experience as an Oracle PBCS / EPM Cloud / Hyperion Planning functional consultant.
• Proven experience in:
• Designing and implementing Oracle PBCS planning applications.
• Building and managing dimensions, metadata, and data forms.
• Creating and maintaining business rules, calculations, and allocations.
• Supporting budgeting, forecasting, and management reporting processes.
• Proficient understanding of:
• Financial planning and analysis (FP&A) concepts such as budgeting, forecasting, variance analysis, and scenario planning.
• Income statement, balance sheet, cash flow, and key financial metrics.
• Experience in data integration and data management within PBCS (e.g., Data Management / Data Management integrations, flat file loads, ERP integrations).
• Skilled in working with stakeholders from finance and IT, translating business requirements into functional solutions.
• Excellent analytical, problem-solving, and documentation skills.
• Effective communication and interpersonal skills, with the ability to work independently and as part of a distributed team.

Preferred Qualifications

• Experience with other Oracle EPM Cloud modules (e.g., EPBCS, FCCS, ARCS, PCMCS) or on-premise Hyperion applications.
• Oracle EPM Cloud / PBCS-related certifications.
• Experience with Oracle ERP (E-Business Suite, Oracle Cloud ERP) or other ERP systems.
• Exposure to scripting or automation in the EPM context (e.g., Groovy, calculation scripts, EPM Automate).
• Experience working in consulting environments or on multi-country / global implementations.

Key Responsibilities:

·       Design, develop, and maintain scalable data warehouse solutions using Snowflake.

·       Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.

·       Develop and support ETL processes using Talend to ensure reliable and efficient data movement.

·       Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.

·       Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.

·       Debug and troubleshoot Python-based data processing scripts and automation workflows.

·       Implement best practices for data quality, testing, deployment, and code reviews.

·       Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.

·       Monitor, optimize, and maintain data warehouse performance and operational stability.

·       Create and maintain technical documentation, data models, and process workflows.

Required Skills and Experience: 

·       Strong hands-on expertise in Snowflake Data Warehouse.

·       Advanced SQL skills with experience handling large-scale datasets.

·       Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.

·       Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.

·       Experience developing and maintaining ETL solutions using Talend.

·       Proficiency in Python for scripting, debugging, automation, and data processing.

·       Experience integrating UI, API, and Data Warehouse workflows.

·       Strong problem-solving and analytical skills.

·       Experience with testing, code reviews, and deployment best practices.

·       Excellent communication and stakeholder management skills.

Requirements

• 12+ years of overall SAP consulting/architecture experience, with at least 4–5 years on SAP BTP and its predecessor (HCP/SCP).
• Minimum 3 full-cycle SAP BTP implementation projects as Solution/Integration Architect or Technical Lead in large enterprise environments.
• Hands-on delivery experience with SAP AI Core or at least 2 production AI/ML implementations in the SAP ecosystem (not just POC/demo).
• Deep familiarity with SAP S/4HANA cloud integration patterns, side-by-side extensibility, and ABAP-to-BTP migration strategies.
• Experience leading architecture design sessions, reviewing technical deliverables, and owning solution blueprints for enterprise clients.
• Exposure to multi-cloud environments and ability to design hybrid landscapes integrating SAP BTP with hyperscalers.
• Prior client-facing consulting or practice-building experience in a Big 4, SAP partner, or independent software vendor context preferred.

Roles & Responsibilities

• Contribute to IP creation — accelerators, reusable assets, reference architectures, and practice-building initiatives.
• Design BTP solution architectures covering SAP Integration Suite, Extension Suite, Data and Analytics cloud, and SAP Build portfolio.
• Architect and deploy SAP AI Core pipelines — model serving, ML Ops workflows, and custom inference endpoints in production.
• Lead development of cloud integration flows using SAP Integration Suite (CPI), API Management, and Event Mesh for hybrid and multi-cloud landscapes.
• Drive SAP BTP subaccount strategy, environment provisioning, identity and access management (IAS/IPS), and security posture.
• Define and govern integration patterns — synchronous/asynchronous, event-driven, point-to-point, and hub-and-spoke models.
• Enable AI use cases using SAP AI Launchpad, Foundation Models, and third-party LLM integrations via BTP Generative AI Hub.
• Build and mentor a team of consultants and developers; run architecture workshops, enablement sessions, and CoE activities.
• Evaluate and recommend SAP BTP service mix against custom cloud-native alternatives to optimize TCO and roadmap alignment.
• Stay current with SAP roadmap, RISE with SAP, GROW with SAP, and relevant cloud platform evolution (AWS, Azure, GCP).

Certifications 

• Preferred / expected - C_BTP_2408 — SAP Certified Associate, BTP ; P_BTP_2408 — SAP Certified Professional, BTP ; C_AIG_2412 — SAP AI & GenAI ; C_ARCIG_2404 — SAP Integration Solution Architect ; C_HANADEV — SAP HANA Cloud Developer
• Good to have - AWS Solutions Architect, Azure / GCP Professional ; SAP Analytics Cloud

Job Summary

We are looking for a proactive and customer-focused Incident Management Associate to oversee the end-to-end management of production incidents and ensure timely restoration of IT services. The ideal candidate will coordinate with cross-functional technical teams, drive incident resolution, facilitate stakeholder communication, and minimize business impact through effective incident management practices.

This role requires working in a 24x7 rotational support environment, including weekends and holidays, as per business requirements.

Key Responsibilities

• Manage the complete lifecycle of Major and High-Priority Incidents from identification through resolution and closure.
• Lead incident bridge calls and coordinate with application, infrastructure, cloud, network, database, and support teams to expedite resolution.
• Ensure timely incident response, escalation, communication, and resolution in accordance with defined SLAs.
• Monitor incident queues and prioritize issues based on business impact and urgency.
• Provide regular status updates to business stakeholders, customers, and senior leadership during critical incidents.
• Coordinate technical teams to identify workarounds and restore services as quickly as possible.
• Conduct post-incident reviews (PIRs), document root causes, corrective actions, and lessons learned.
• Track recurring incidents and collaborate with Problem Management teams to drive permanent resolutions.
• Maintain incident documentation, dashboards, and reports for operational reviews and management reporting.
• Ensure compliance with ITIL Incident Management processes and organizational governance.
• Support change implementation activities and assess potential impacts during planned maintenance windows.
• Identify opportunities for automation and continual service improvement to enhance operational efficiency.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 2–5 years of experience in Incident Management, IT Operations, Service Delivery, or Production Support.
• Strong understanding of IT Service Management (ITSM) processes and ITIL best practices.
• Experience managing Major Incidents in enterprise production environments.
• Excellent communication, coordination, and stakeholder management skills.
• Ability to work effectively under pressure in a fast-paced operational environment.
• Willingness to work 24x7 rotational shifts, including weekends and public holidays.

Required Technical Skills

• ITSM Tools: ServiceNow, BMC Remedy, Jira Service Management, or equivalent.
• Monitoring Tools: Splunk, Dynatrace, AppDynamics, Datadog, Grafana, SolarWinds, or similar.
• Ticketing and Incident Tracking Systems.
• Microsoft Office Suite (Excel, PowerPoint, Word).
• Basic understanding of cloud platforms (AWS, Azure, GCP) is desirable.
• Familiarity with Linux/Windows environments, networking, databases, and enterprise applications is an advantage.

Preferred Qualifications

• Experience supporting large-scale enterprise production environments.
• Exposure to cloud-based applications, microservices, APIs, and DevOps environments.
• Knowledge of Change Management, Problem Management, and Release Management processes.
• Experience working with global teams across multiple time zones.

Preferred Certifications

• ITIL Foundation Certification (Preferred)
• ITIL Intermediate (Good to have)
• Microsoft Azure Fundamentals / AWS Cloud Practitioner (Good to have) 

Java Backend Developer (6–10 Years)

Mandatory Skills:

• Core Java 8+ (Collections, Streams, Multithreading)
• Spring Boot
• Microservices Architecture
• RESTful API Development
• SQL (Oracle/MySQL/PostgreSQL)
• JPA/Hibernate
• Design Patterns & OOP
• Distributed Systems
• Kafka/RabbitMQ (Preferred)
• AWS/Azure (Preferred)
• CI/CD, Git, Jenkins, Docker/Kubernetes (Preferred)

Responsibilities:

• Design and develop scalable backend microservices.
• Build secure and high-performance REST APIs.
• Work on distributed systems and production-grade applications.
• Optimize application performance and troubleshoot production issues.
• Participate in code reviews and Agile development.

Preferred Background:

• Product engineering or enterprise backend development.
• Strong coding skills in Java with hands-on experience in live problem solving.

Experience: 6–10 Years

Location: Bangalore / Mumbai / Chennai (Hybrid)