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Global digital transformation solutions provider.
Job Description
We are seeking a highly skilled Site Reliability Engineer (SRE) with strong expertise in Google Cloud Platform (GCP) and CI/CD automation to lead cloud infrastructure initiatives. The ideal candidate will design and implement robust CI/CD pipelines, automate deployments, ensure platform reliability, and drive continuous improvement in cloud operations and DevOps practices.
Key Responsibilities:
- Design, develop, and optimize end-to-end CI/CD pipelines using Jenkins, with a strong focus on Declarative Pipeline syntax.
- Automate deployment, scaling, and management of applications across various GCP services including GKE, Cloud Run, Compute Engine, Cloud SQL, Cloud Storage, VPC, and Cloud Functions.
- Collaborate closely with development and DevOps teams to ensure seamless integration of applications into the CI/CD pipeline and GCP environment.
- Implement and manage monitoring, logging, and ing solutions to maintain visibility, reliability, and performance of cloud infrastructure and applications.
- Ensure compliance with security best practices and organizational policies across GCP environments.
- Document processes, configurations, and architectural decisions to maintain operational transparency.
- Stay updated with the latest GCP services, DevOps, and SRE best practices to enhance infrastructure efficiency and reliability.
Mandatory Skills:
- Google Cloud Platform (GCP) – Hands-on experience with core GCP compute, networking, and storage services.
- Jenkins – Expertise in Declarative Pipeline creation and optimization.
- CI/CD – Strong understanding of automated build, test, and deployment workflows.
- Solid understanding of SRE principles including automation, scalability, observability, and system reliability.
- Familiarity with containerization and orchestration tools (Docker, Kubernetes – GKE).
- Proficiency in scripting languages such as Shell, Python, or Groovy for automation tasks.
Preferred Skills:
- Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).
- Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.
- Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).
- GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.
Skills
Gcp, Jenkins, CICD Aws,
Nice to Haves
Experience with Terraform, Ansible, or Cloud Deployment Manager for Infrastructure as Code (IaC).
Exposure to monitoring and observability tools like Stackdriver, Prometheus, or Grafana.
Knowledge of multi-cloud or hybrid environments (AWS experience is a plus).
GCP certification (Professional Cloud DevOps Engineer / Cloud Architect) preferred.
******
Notice period - 0 to 15days only
Location – Pune, Trivandrum, Kochi, Chennai
Job Title : Technical Architect
Experience : 8 to 12+ Years
Location : Trivandrum / Kochi / Remote
Work Mode : Remote flexibility available
Notice Period : Immediate to max 15 days (30 days with negotiation possible)
Summary :
We are looking for a highly skilled Technical Architect with expertise in Java Full Stack development, cloud architecture, and modern frontend frameworks (Angular). This is a client-facing, hands-on leadership role, ideal for technologists who enjoy designing scalable, high-performance, cloud-native enterprise solutions.
🛠 Key Responsibilities :
- Architect scalable and high-performance enterprise applications.
- Hands-on involvement in system design, development, and deployment.
- Guide and mentor development teams in architecture and best practices.
- Collaborate with stakeholders and clients to gather and refine requirements.
- Evaluate tools, processes, and drive strategic technical decisions.
- Design microservices-based solutions deployed over cloud platforms (AWS/Azure/GCP).
✅ Mandatory Skills :
- Backend : Java, Spring Boot, Python
- Frontend : Angular (at least 2 years of recent hands-on experience)
- Cloud : AWS / Azure / GCP
- Architecture : Microservices, EAI, MVC, Enterprise Design Patterns
- Data : SQL / NoSQL, Data Modeling
- Other : Client handling, team mentoring, strong communication skills
➕ Nice to Have Skills :
- Mobile technologies (Native / Hybrid / Cross-platform)
- DevOps & Docker-based deployment
- Application Security (OWASP, PCI DSS)
- TOGAF familiarity
- Test-Driven Development (TDD)
- Analytics / BI / ML / AI exposure
- Domain knowledge in Financial Services or Payments
- 3rd-party integration tools (e.g., MuleSoft, BizTalk)
⚠️ Important Notes :
- Only candidates from outside Hyderabad/Telangana and non-JNTU graduates will be considered.
- Candidates must be serving notice or joinable within 30 days.
- Client-facing experience is mandatory.
- Java Full Stack candidates are highly preferred.
🧭 Interview Process :
- Technical Assessment
- Two Rounds – Technical Interviews
- Final Round

Global Digital Transformation Solutions Provider
SENIOR DATA ENGINEER:
ROLE SUMMARY:
Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.
RESPONSIBILITIES:
- Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
- Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
- Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
- Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
- DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
- Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
- Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
- Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
- Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
- Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.
REQUIRED QUALIFICATIONS:
- Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
- Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
- Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
- ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
- Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
- DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
- Serverless and events: Design event-driven distributed systems on AWS.
- NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
- AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.
NICE-TO-HAVE QUALIFICATIONS:
- Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
- Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
- Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
- Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.
OUTCOMES AND MEASURES:
- Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
- Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
- Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
- Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
- Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.
LOCATION AND SCHEDULE:
● Location: Outside US (OUS).
● Schedule: Minimum 6 hours of overlap with US time zones.
Skills:
Design and build web applications with React and TypeScript, ensuring high-quality and responsive
user interfaces.
Write unit tests and integration tests using Jest to ensure code reliability, performance, and
scalability.
Ensure performance optimization, code modularity, and maintainability of applications

One of the top Multinational IT and Consulting Company
Work Location- PAN India
- Performs implementation of high level design and specifications.
- Develops low level design, class diagrams, flow charts.
- Performs Unit testing of individually developed components and fix errors, if any
- Assist in preparation of design, technical reference & operational documentation, packaging document in collaboration with the Lead.
- Strives for technology innovation in terms of exploring new and efficient ways of writing code
- Is responsible for writing simple, reusable code by following coding standards
- Ensure proper documentation of implementation and reviews.
- Ensure timely follow ups and escalations with leads with respect to any process gaps/risks/impediments.
Technical Skills :
Java, Spring Boot, MySql, CI/CD Automation.
UI Scripting,NPL/ML
Work Location: TVM/Kochi/Bangalore
Experience: 6-10years
- At least 5 years of experience in SailPoint IdentityIQ architecture, design, development, configuration, testing, integration, and deployment.
- Must have experience in application onboarding, provisioning, workflow customization, access review etc.
- SailPoint connector development experience with both out-of-the-box and custom connectors.
- Sound experience in developing applications using Java, JEE components.
- At least 3+ year of experience with Java, BeanShell/JavaScript, JSP/Servlets, SQL, Powershell, and XML.
- Experience in any other IDM suite (OIM, IBM, Sun, CA, Novell) is an added advantage




