50+ Google Cloud Platform (GCP) Jobs in Hyderabad | Google Cloud Platform (GCP) Job openings in Hyderabad

Job Title: Site Reliability Engineer

Experience: 4 - 6 Years

Location: Hyderabad (Hybrid)

Job Summary

P99soft is hiring a Site Reliability / Cloud Engineer to manage and optimize scalable cloud infrastructure and microservices environments. The role involves implementing automation, monitoring systems, and ensuring high availability and performance across AWS/GCP platforms. You will work closely with cross-functional teams to handle deployments, incident management, and continuous improvements. Strong expertise in DevOps tools, containerization, and infrastructure as code is essential.

RESPONSIBILITIES:

* Implement, Own, maintain, monitor & support the backend servers & micro-services infrastructure for the studio titles which runs on wide-variety of tech stack

* Implement/maintain various automation tools for development, testing, operations and IT infrastructure

* Be available for on-call duty during production outages in 24/7 PAGERDUTY support

* Work very closely with all the disciplines/stakeholders and keep them communicated on all impacted aspects

* Defining and setting development, test, release, update, and support processes for the SRE operations

* Excellent troubleshooting skills in areas of systems Infrastructure engineering

* Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimising the workflow times

* Encouraging and building automated processes wherever possible

* Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

* Incidence management and root cause analysis

* Monitoring and measuring customer experience and KPIs

Key Skills : -

Containerisation & Orchestration : Docker, Kubernetes, Rancher, EKS, ECS, GKE, Elastic Beanstalk, Google App Engine

Cloud Platform: AWS, GCP

IaaC: Terraform, AWS-CloudFormation / GCP-CloudDeploymentManager, Ansible

Infra Monitoring : Prometheus, Datadog, Alert Manager, Thanos, AWS Cloudwatch

CI/CD : GITLAB CI-CD, Jenkins

Scripting : Python, Golang

VCS : GITLAB, Perforce, Subversion

OS : UBUNTU, CENTOS, Amazon LINUX, Redhat Linux

Nice to Have: -

1. Experience with supporting build workloads running on On-Prem VMWare based VMs.

2. Experience supporting Mobile App/Mobile Gaming build workloads that involves development platforms like UNITY, UNREAL, Xcode, Android Studio & Fastlane

Client: Capgemini

Location: Hyderabad

Experience: 8+ Years

Senior Software Engineer

As a Senior Software Engineer, you will design, develop, test, and deploy sophisticated Generative AI applications. You will work within a dedicated engineering pod, partnering with technical leaders to translate architectural designs into robust, scalable, and secure software. This role requires hands-on development experience and a strong interest in solving complex technical problems using modern AI capabilities.

In this role, you will:

• Lead moderately complex initiatives and deliverables within technical engineering environments.
• Contribute to large-scale planning of strategies across Consumer Technology.
• Design, code, test, debug, and document applications and services, including upgrades and deployments.
• Review technical challenges that require in-depth evaluation of technologies, procedures, and engineering approaches.
• Resolve moderately complex issues while guiding teams to meet existing and emerging business needs.
• Collaborate with peers, colleagues, and mid-level managers to resolve technical challenges and meet project goals.
• Lead projects and act as an escalation point, providing direction to less experienced engineers.
• Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies.
• Implement prompt engineering, retrieval-augmented generation, fine-tuning, and agentic design patterns.
• Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards.
• Troubleshoot complex application and model-related issues and contribute to the continuous improvement of AI systems.
• Assist and mentor engineers in advanced software development and AI engineering practices.
• Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems.

Required Qualifications:

• 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education.
• 2+ years of experience working with Generative AI, large language models, or foundation models.
• 2+ years of experience with either GCP, Azure, Kubernetes, or OpenShift.
• 2+ years of experience with Python.
• 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes.
• 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows.

Desired Qualifications:

• Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments.
• Experience working in highly regulated industries such as financial services.
• Experience as a technical lead or architect, including mentoring senior engineers.
• Experience integrating or contributing to open-source AI or ML projects.
• Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines.
• Strong communication and documentation skills to collaborate across engineering, product, and oversight teams.

Preferred Skills and Experience:

• Experience with LLM development using OpenAI, Anthropic, or Google Gemini models.
• Experience with agentic frameworks and AI workflow orchestration.
• Experience designing applications that incorporate retrieval-augmented generation, fine-tuning, and structured prompting.
• Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate.
• Experience with LLM evaluation, observability, and monitoring, including latency, cost, accuracy, grounding, drift detection, and safety assessments.
• Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI/CD pipelines for AI services.
• Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments.
• Experience optimizing AI application performance, including prompt efficiency, model selection, caching, batching, and cost management.

Role Overview

We are looking for a skilled Software Engineer with strong Python backend development expertise and hands-on experience in Google Cloud Platform (GCP). The role involves building scalable, cloud-native applications, APIs, and automation solutions while following modern SDLC and DevOps best practices.

Key Responsibilities

• Develop and maintain backend services using Python, including APIs, automation, and data processing.
• Design and implement cloud-native solutions on GCP, leveraging services such as Cloud Run, Cloud Functions, Firestore, Compute Engine, and App Engine.
• Contribute to system design and architecture discussions, focusing on scalability and microservices.
• Follow SDLC best practices, writing clean, modular, and testable code using OOP principles and design patterns.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Support CI/CD pipelines, version control, and automated testing as part of DevOps practices.
• Willing to work in shifts.

Required Skills & Qualifications

Certifications

• Google Cloud Associate or Professional Certification preferred.
• Other relevant cloud or software certifications are a plus.

Python

• Strong proficiency in backend development, API creation, automation, and data manipulation.

GCP

• Practical experience with GCP services, especially serverless or compute-based offerings.

System Design

• Good understanding of scalable architectures and microservices concepts.

SDLC & OOP

• Solid grasp of object-oriented programming, design patterns, and clean code practices.

DevOps

• Working knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code (IaC).

A GCP BigQuery professional designs develops and optimizes largescale data warehouses ELT ETL pipelines and SQL scripts within Google Cloud Responsibilities include managing data ingestion PubSub Dataflow optimizing performance and cost and implementing securitygovernance Key skills include SQL Python Apache Airflow and Data modeling

Key Responsibilities

• Data Architecture Modeling Design and optimize BigQuery data models schemas and storage for performance and costefficiency
• Pipeline Development ETLELT Build scalable data pipelines and workflows using tools like Cloud Composer Airflow Dataflow and Dataproc
• Query Optimization Write complex SQL scripts and tune performance to minimize BigQuery slot usage
• Data Integration Ingest transform and manage data from diverse sources into BigQuery
• Governance Security Implement data security access controls and best practices

Required Skills Qualifications

• Core Technical Proficiency in GoogleSQL Python and Google Cloud Platform GCP services BigQuery Cloud Storage Dataflow
• Data Processing Experience with Apache Spark Beam or Hadoop
• Database Knowledge Strong understanding of relational RDBMS and NoSQL databases

Role: Data Engineer

 Experience: 5+ Yrs

Type: Hybrid (3 Days a week)

Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta

End Client: Cognizant

Contract Duration: 6 Months

Shift:- 10 AM - 7 PM IST

Must Have: 

* Strong experience in Python

* Expertise in Data Engineering Frameworks

* Hands-on experience with ETL processes

* CI/CD

* Experience working on GCP (Google Cloud Platform)

GCP Data Engineer

Experience: 8 – 15 yrs

Grade: C2/D1

Skill: GCP + Python/Pyspark

NP: Immediate joiners

• 8+ years of hands-on experience in Python.
• 8+ years of hands-on experience in Data Engineering.
• 5+ Years of hands-on experience in GCP Big Query.
• Experience in building scalable data pipelines and automation frameworks.
• Experience migrating data and pipelines from SQL Server to GCP Big Query.
• Familiarity with CI/CD tools and Agile methodologies.
• Good understanding on Data Governance, Data Quality, Metadata, Lineage
• Expertise in Data Model design in Big query.
• Expertise in writing optimal Big query SQL and Stored Proc.
• Expertise in GCS Cloud Storage, Pub Sub, Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.
• Expertise in Vertex AI and Feature Store.
• Expertise in Spark and Apache Beam is desirable.

Email resumes to: naveenkb @ 10xscale.ai

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making.

Key Responsibilities:

• Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases.

• Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting.

• Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.).

• Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems.

• Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval.

• Develop end-to-end AI/ML pipelines from data preprocessing to deployment.

• Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools.

• Optimize models for performance, scalability, and reliability.

• Maintain documentation and promote knowledge sharing within the team.

Mandatory Requirements:

• 4+ years of relevant experience as an AI/ML Engineer.

• Hands-on experience in Generative AI and Large Language Models (LLMs) – Mandatory.

• Experience implementing RAG pipelines and prompt engineering techniques.

• Strong programming skills in Python.

• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).

• Experience with vector databases (FAISS, Pinecone, ChromaDB).

• Strong understanding of SQL and database systems.

• Experience integrating AI solutions into BI tools (Power BI, Tableau).

• Strong analytical, problem-solving, and communication skills. Good to Have

• Experience with cloud platforms (AWS, Azure, GCP).

• Experience with Docker or Kubernetes.

• Exposure to NLP, computer vision, or deep learning use cases.

• Experience in MLOps and CI/CD pipelines

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Role Proficiency:

Leverage expertise in a technology area (e.g. Java Microsoft technologies or Mainframe/legacy) to design system architecture.

Knowledge Examples:

• Domain/ Industry Knowledge: Basic knowledge of standard business processes within the relevant industry vertical and customer business domain

1. Technology Knowledge: Demonstrates working knowledge of more than one technology area related to own area of work (e.g. Java/JEE 5+ Microsoft technologies or Mainframe/legacy) customer technology landscape multiple frameworks (Struts JSF Hibernate etc.) within one technology area and their applicability. Consider low level details such as data structures algorithms APIs and libraries and best practices for one technology stack configuration parameters for successful deployment and configuration parameters for high performance within one technology stack
2. Technology Trends: Demonstrates working knowledge of technology trends related to one technology stack and awareness of technology trends related to least two technologies
3. Architecture Concepts and Principles: Demonstrates working knowledge of standard architectural principles models patterns (e.g. SOA N-Tier EDA etc.) and perspective (e.g. TOGAF Zachman etc.) integration architecture including input and output components existing integration methodologies and topologies source and external system non functional requirements data architecture deployment architecture architecture governance
4. Design Patterns Tools and Principles: Applies specialized knowledge of design patterns design principles practices and design tools. Knowledge of documentation of design using tolls like EA
5. Software Development Process Tools & Techniques: Demonstrates thorough knowledge of end-to-end SDLC process (Agile and Traditional) SDLC methodology programming principles tools best practices (refactoring code code package etc.)
6. Project Management Tools and Techniques: Demonstrates working knowledge of project management process (such as project scoping requirements management change management risk management quality assurance disaster management etc.) tools (MS Excel MPP client specific time sheets capacity planning tools etc.)
7. Project Management: Demonstrates working knowledge of project governance framework RACI matrix and basic knowledge of project metrics like utilization onsite to offshore ratio span of control fresher ratio SLAs and quality metrics
8. Estimation and Resource Planning: Working knowledge of estimation and resource planning techniques (e.g. TCP estimation model) company specific estimation templates
9. Working knowledge of industry knowledge management tools (such as portals wiki) company and customer knowledge management tools techniques (such as workshops classroom training self-study application walkthrough and reverse KT)
10. Technical Standards Documentation & Templates: Demonstrates working knowledge of various document templates and standards (such as business blueprint design documents and test specifications)
11. Requirement Gathering and Analysis: Demonstrates working knowledge of requirements gathering for ( non functional) requirements analysis for functional and non functional requirement analysis tools (such as functional flow diagrams activity diagrams blueprint storyboard) techniques (business analysis process mapping etc.) and requirements management tools (e.g.MS Excel) and basic knowledge of functional requirements gathering. Specifically identify Architectural concerns and to document them as part of IT requirements including NFRs
12. Solution Structuring: Demonstrates working knowledge of service offering and products

Additional Comments:

Looking for a Senior Java Architect with 12+ years of experience. Key responsibilities include:

• Excellent technical background and end to end architecture to design and implement scalable maintainable and high performing systems integrating front end technologies with back-end services.

• Collaborate with front-end teams to architect React -based user interfaces that are robust, responsive and aligned with overall technical architecture.

• Expertise in cloud-based applications on Azure, leveraging key Azure services.

• Lead the adoption of DevOps practices, including CI/CD pipelines, automation, monitoring and logging to ensure reliable and efficient deployment cycles.

• Provide technical leadership to development teams, guiding them in building solutions that adhere to best practices, industry standards and customer requirements.

• Conduct code reviews to maintain high quality code and collaborate with team to ensure code is optimized for performance, scalability and security.

• Collaborate with stakeholders to defined requirements and deliver technical solutions aligned with business goals.

• Excellent communication skills

• Mentor team members providing guidance on technical challenges and helping them grow their skill set.

• Good to have experience in GCP and retail domain.

Skills: Devops, Azure, Java

Must-Haves

Java (12+ years), React, Azure, DevOps, Cloud Architecture

Strong Java architecture and design experience.

Expertise in Azure cloud services.

Hands-on experience with React and front-end integration.

Proven track record in DevOps practices (CI/CD, automation).

Notice period - 0 to 15days only

Location: Hyderabad, Chennai, Kochi, Bangalore, Trivandrum

Excellent communication and leadership skills.

Job Description – Senior Technical Business Analyst

Location: Trivandrum (Preferred) | Open to any location in India

Shift Timings - 8 hours window between the 7:30 PM IST - 4:30 AM IST

About the Role

We are seeking highly motivated and analytically strong Senior Technical Business Analysts who can work seamlessly with business and technology stakeholders to convert a one-line problem statement into a well-defined project or opportunity. This role is ideal for fresh graduates who have a strong foundation in data analytics, data engineering, data visualization, and data science, along with a strong drive to learn, collaborate, and grow in a dynamic, fast-paced environment.

As a Technical Business Analyst, you will be responsible for translating complex business challenges into actionable user stories, analytical models, and executable tasks in Jira. You will work across the entire data lifecycle—from understanding business context to delivering insights, solutions, and measurable outcomes.

Key Responsibilities

Business & Analytical Responsibilities

• Partner with business teams to understand one-line problem statements and translate them into detailed business requirements, opportunities, and project scope.
• Conduct exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Create documentation including Business Requirement Documents (BRDs), user stories, process flows, and analytical models.
• Break down business needs into concise, actionable, and development-ready user stories in Jira.

Data & Technical Responsibilities

• Collaborate with data engineering teams to design, review, and validate data pipelines, data models, and ETL/ELT workflows.
• Build dashboards, reports, and data visualizations using leading BI tools to communicate insights effectively.
• Apply foundational data science concepts such as statistical analysis, predictive modeling, and machine learning fundamentals.
• Validate and ensure data quality, consistency, and accuracy across datasets and systems.

Collaboration & Execution

• Work closely with product, engineering, BI, and operations teams to support the end-to-end delivery of analytical solutions.
• Assist in development, testing, and rollout of data-driven solutions.
• Present findings, insights, and recommendations clearly and confidently to both technical and non-technical stakeholders.

Required Skillsets

Core Technical Skills

• 6+ years of Technical Business Analyst experience within an overall professional experience of 8+ years
• Data Analytics: SQL, descriptive analytics, business problem framing.
• Data Engineering (Foundational): Understanding of data warehousing, ETL/ELT processes, cloud data platforms (AWS/GCP/Azure preferred).
• Data Visualization: Experience with Power BI, Tableau, or equivalent tools.
• Data Science (Basic/Intermediate): Python/R, statistical methods, fundamentals of ML algorithms.

Soft Skills

• Strong analytical thinking and structured problem-solving capability.
• Ability to convert business problems into clear technical requirements.
• Excellent communication, documentation, and presentation skills.
• High curiosity, adaptability, and eagerness to learn new tools and techniques.

Educational Qualifications

• BE/B.Tech or equivalent in:
• Computer Science / IT
• Data Science

What We Look For

• Demonstrated passion for data and analytics through projects and certifications.
• Strong commitment to continuous learning and innovation.
• Ability to work both independently and in collaborative team environments.
• Passion for solving business problems using data-driven approaches.
• Proven ability (or aptitude) to convert a one-line business problem into a structured project or opportunity.

Why Join Us?

• Exposure to modern data platforms, analytics tools, and AI technologies.
• A culture that promotes innovation, ownership, and continuous learning.
• Supportive environment to build a strong career in data and analytics.

Skills: Data Analytics, Business Analysis, Sql

Must-Haves

Technical Business Analyst (6+ years), SQL, Data Visualization (Power BI, Tableau), Data Engineering (ETL/ELT, cloud platforms), Python/R

Senior Software Engineer

Location: Hyderabad, India

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

What You’ll Do:

Build, Innovate, and Own:

• Design, develop, and maintain high-performance microservices in a modern .NET/C# environment.
• Architect and optimize data pipelines and storage solutions that power our AI-driven products.
• Collaborate closely with AI and data teams to bring machine learning models into production systems.
• Build integrations with external services and APIs to enable scalable, interoperable solutions.
• Ensure robust security, scalability, and observability across distributed systems.
• Stay ahead of the curve — evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Responsibilities will include but are not limited to:

• Provide technical guidance and code reviews that raise the bar for quality and performance.
• Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

What You’ll Need:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/.NET and microservices architecture.
• Strong experience with SQL and NoSQL data stores.
• Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
• Proven ability to design for performance, reliability, and security in data-intensive systems.
• Excellent communication skills and ability to work effectively in a global, cross-functional environment.

Set Yourself Apart With:

• Startup experience - specifically in building product from 0-1
• Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
• Experience in healthcare or fintech domains.
• Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navita

Google Data Engineer - SSE

Position Description

Google Cloud Data Engineer

Notice Period: Immediate to 30 days serving

Job Description:

We are seeking a highly skilled Data Engineer with extensive experience in Google Cloud Platform (GCP) data services and big data technologies. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions while ensuring high performance, reliability, and security.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using GCP data services.

• Implement and optimize solutions using BigQuery, Dataproc, Composer, Pub/Sub, Dataflow, GCS, and BigTable.

• Work with GCP databases such as Bigtable, Spanner, CloudSQL, AlloyDB, ensuring performance, security, and availability.

• Develop and manage data processing workflows using Apache Spark, Hadoop, Hive, Kafka, and other Big Data technologies.

• Ensure data governance and security using Dataplex, Data Catalog, and other GCP governance tooling.

• Collaborate with DevOps teams to build CI/CD pipelines for data workloads using Cloud Build, Artifact Registry, and Terraform.

• Optimize query performance and data storage across structured and unstructured datasets.

• Design and implement streaming data solutions using Pub/Sub, Kafka, or equivalent technologies.

Required Skills & Qualifications:

• 8-15 years of experience

• Strong expertise in GCP Dataflow, Pub/Sub, Cloud Composer, Cloud Workflow, BigQuery, Cloud Run, Cloud Build.

• Proficiency in Python and Java, with hands-on experience in data processing and ETL pipelines.

• In-depth knowledge of relational databases (SQL, MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Scylla, Cassandra, DynamoDB).

• Experience with Big Data platforms such as Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open Platform.

• Strong understanding of AWS Data services such as Redshift, RDS, Athena, SQS/Kinesis.

• Familiarity with data formats such as Avro, ORC, Parquet.

• Experience handling large-scale data migrations and implementing data lake architectures.

• Expertise in data modeling, data warehousing, and distributed data processing frameworks.

• Deep understanding of data formats such as Avro, ORC, Parquet.

• Certification in GCP Data Engineering Certification or equivalent.

Good to Have:

• Experience in BigQuery, Presto, or equivalent.

• Exposure to Hadoop, Spark, Oozie, HBase.

• Understanding of cloud database migration strategies.

• Knowledge of GCP data governance and security best practices.

Job Title : Senior QA Automation Architect (Cloud & Kubernetes)

Experience : 6+ Years

Location : India (Multiple Offices)

Shift Timings : 12 PM to 9 PM (Noon Shift)

Working Days : 5 Days WFO (NO Hybrid)

About the Role :

We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.

You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.

Key Responsibilities :

• Architect and maintain test automation frameworks for microservices.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Ensure reliability, scalability, and observability of test systems.
• Work closely with DevOps and Cloud teams to streamline automation infrastructure.

Mandatory Skills :

• Kubernetes, Helm, Docker, Linux
• Cloud Platforms : AWS / Azure / GCP
• CI/CD Tools : Jenkins, GitHub Actions
• Scripting : Python, Pytest, Bash
• Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
• IaC Practices : Terraform / Ansible

Good to Have :

• Experience with Service Mesh (Istio/Linkerd).
• Container Security or DevSecOps exposure.

Position Overview

We are seeking an experienced Solutions Architect to lead the technical design and implementation strategy for our finance automation platform. This role sits at the intersection of business requirements, technical architecture, and implementation excellence. You will be responsible for translating complex Statement of Work (SOW) requirements into comprehensive technical designs while mentoring implementation engineers and driving platform evolution.

Key Responsibilities

Solution Design & Architecture

1. Translate SOW requirements into detailed C4 architecture models and Business Process Canvas documentation

2. Design end-to-end solutions for complex finance automation workflows including reconciliations, book closure, and financial reporting

3. Create comprehensive technical specifications for custom development initiatives

4. Establish architectural standards and best practices for finance domain solutions

Technical Leadership & Mentorship

1. Mentor Implementation Engineers on solution design, technical approaches, and best practices

2. Lead technical reviews and ensure solution quality across all implementations

3. Provide guidance on complex technical challenges and architectural decisions

4. Foster knowledge sharing and technical excellence within the solutions team

Platform Strategy & Development

1. Make strategic decisions on when to push feature development to the Platform Team vs. custom implementation

2. Interface with Implementation Support team to assess platform gaps and enhancement opportunities

3. Collaborate with Program Managers to track and prioritize new platform feature development

4. Contribute to product roadmap discussions based on client requirements and market trends

Client Engagement & Delivery

1. Lead technical discussions with enterprise clients during pre-sales and implementation phases

2. Design scalable solutions that align with client's existing technology stack and future roadmap

3. Ensure solutions comply with financial regulations (Ind AS/IFRS/GAAP) and industry standards

4. Drive technical aspects of complex implementations from design through go-live

Required Qualifications

Technical Expertise

● 8+ years of experience in solution architecture, preferably in fintech or enterprise software

● Strong expertise in system integration, API design, and microservices architecture

● Proficiency in C4 modeling and architectural documentation standards

● Experience with Business Process Management (BPM) and workflow design

● Advanced knowledge of data architecture, ETL pipelines, and real-time data processing

● Strong programming skills in Python, Java, or similar languages

● Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.

Financial Domain Knowledge

● Deep understanding of finance and accounting principles (Ind AS/IFRS/GAAP)

● Experience with financial systems integration (ERP, GL, AP/AR systems)

● Knowledge of financial reconciliation processes and automation strategies

● Understanding of regulatory compliance requirements in financial services

Leadership & Communication

● Proven experience mentoring technical teams and driving technical excellence

● Strong stakeholder management skills with ability to communicate with C-level executives

● Experience working in agile environments with cross-functional teams

● Excellent technical documentation and presentation skills

Preferred Qualifications

● Master's degree in Computer Science, Engineering, or related technical field

● Experience with finance automation platforms (Blackline, Trintech, Anaplan, etc.)

● Certification in enterprise architecture frameworks (TOGAF, Zachman)

● Experience with data visualization tools (Power BI, Tableau, Looker)

● Background in SaaS platform development and multi-tenant architectures

● Experience with DevOps practices and CI/CD pipeline design

● Knowledge of machine learning applications in finance automation.

Skills & Competencies

Technical Skills

● Solution architecture and system design

● C4 modeling and architectural documentation

● API design and integration patterns

● Cloud-native architecture and microservices

● Data architecture and pipeline design

● Programming and scripting languages

Financial & Business Skills

● Financial process automation

● Business process modeling and optimization

● Regulatory compliance and risk management

● Enterprise software implementation

● Change management and digital transformation

Leadership Skills

● Technical mentorship and team development

● Strategic thinking and decision making

● Cross-functional collaboration

● Client relationship management

● Project and program management

Soft Skills

● Critical thinking and problem-solving

● Cross-functional collaboration

● Task and project management

● Stakeholder management

● Team leadership

● Technical documentation

● Communication with technical and non-technical stakeholders

Mandatory Criteria:  

● Looking for candidates who are Solution Architects in Finance from Product Companies.

● The candidate should have worked in Fintech for at least 4–5 years.

● Candidate should have Strong Technical and Architecture skills with Finance Exposure.

● Candidate should be from Product companies.

● Candidate should have 8+ years’ experience in solution architecture, preferably in fintech or enterprise software.

● Candidate should have Proficiency in Python, Java (or similar languages) and hands-on with cloud platforms (AWS/Azure/GCP) & containerization (Docker/Kubernetes).

● Candidate should have Deep knowledge of finance & accounting principles (Ind AS/IFRS/GAAP) and financial system integrations (ERP, GL, AP/AR).

● Candidate should have Expertise in system integration, API design, microservices, and C4 modeling.

● Candidate should have Experience in financial reconciliations, automation strategies, and regulatory compliance.

● Candidate should be Strong in problem-solving, cross-functional collaboration, project management, documentation, and communication.

● Candidate should have Proven experience in mentoring technical teams and driving excellence.

Job Summary:

We are seeking an experienced and highly motivated Senior Python Developer to join our dynamic and growing engineering team. This role is ideal for a seasoned Python expert who thrives in a fast-paced, collaborative environment and has deep experience building scalable applications, working with cloud platforms, and automating infrastructure.

Key Responsibilities:

Develop and maintain scalable backend services and APIs using Python, with a strong emphasis on clean architecture and maintainable code.

Design and implement RESTful APIs using frameworks such as Flask or FastAPI, and integrate with relational databases using ORM tools like SQLAlchemy.

Work with major cloud platforms (AWS, GCP, or Oracle Cloud Infrastructure) using Python SDKs to build and deploy cloud-native applications.

Automate system and infrastructure tasks using tools like Ansible, Chef, or other configuration management solutions.

Implement and support Infrastructure as Code (IaC) using Terraform or cloud-native templating tools to manage resources effectively.

Work across both Linux and Windows environments, ensuring compatibility and stability across platforms.

Required Qualifications:

5+ years of professional experience in Python development, with a strong portfolio of backend/API projects.

Strong expertise in Flask, SQLAlchemy, and other Python-based frameworks and libraries.

Proficient in asynchronous programming and event-driven architecture using tools such as asyncio, Celery, or similar.

Solid understanding and hands-on experience with cloud platforms – AWS, Google Cloud Platform, or Oracle Cloud Infrastructure.

Experience using Python SDKs for cloud services to automate provisioning, deployment, or data workflows.

Practical knowledge of Linux and Windows environments, including system-level scripting and debugging.

Automation experience using tools such as Ansible, Chef, or equivalent configuration management systems.

Experience implementing and maintaining CI/CD pipelines with industry-standard tools.

Familiarity with Docker and container orchestration concepts (e.g., Kubernetes is a plus).

Hands-on experience with Terraform or equivalent infrastructure-as-code tools for managing cloud environments.

Excellent problem-solving skills, attention to detail, and a proactive mindset.

Strong communication skills and the ability to collaborate with diverse technical teams.

Preferred Qualifications (Nice to Have):

Experience with other Python frameworks (FastAPI, Django)

Knowledge of container orchestration tools like Kubernetes

Familiarity with monitoring tools like Prometheus, Grafana, or Datadog

Prior experience working in an Agile/Scrum environment

Contributions to open-source projects or technical blogs

Job Description: Java Developer

Position: Java Developer

Experience: 5 to 7 Years

Notice Period: Immediate Joiner

Key Responsibilities

• Design, develop, and maintain scalable, high-performance Java applications.
• Work with Core Java and Advanced Java concepts to build reliable backend solutions.
• Develop and deploy applications using Spring Boot framework.
• Design and implement RESTful Microservices with best practices in scalability and performance.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Manage code versions effectively using Git/GitHub.
• Ensure code quality by integrating and analyzing with SonarQube.
• Participate in code reviews, sprint planning, and daily stand-ups.
• Troubleshoot production issues and optimize system performance.

Required Skills

• Strong proficiency in Core Java (OOPs, Collections, Multithreading, Exception Handling).
• Hands-on experience in Advanced Java (JDBC, Servlets, JSP, JPA/Hibernate).
• Proven experience with Spring Boot for application development.
• Knowledge and experience in Microservices Architecture.
• Familiarity with REST APIs, JSON, and Web Services.
• Proficient in Git/GitHub for version control and collaboration.
• Experience with Sonar Qube for code quality and security checks.
• Good understanding of Agile/Scrum methodologies.
• Strong problem-solving and debugging skills.

Nice-to-Have

• Experience with CI/CD pipelines (Jenkins, GitHub Actions, or similar).
• Familiarity with Docker/Kubernetes for containerized deployments.
• Basic knowledge of cloud platforms (AWS, Azure, GCP).

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
• 
  

Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

About You: ● Education ranging from a Bachelor’s of Science degree in computer science or related engineering degree. ● 12+ years of high level API, abstraction layers, and application software development experience. ● 5+ years experience building scalable, serverless solutions in GCP or AWS ● 4+ years of experience in Python, MongoDB ● Experience with large-scale distributed systems and streaming data services. ● Experience building, developing, and maintaining cloud native infrastructure, serverless architecture, micro-operations, and workflow automation. ● You are a hardworking problem-solver who thrives in finding solutions to difficult technical challenges. ● Experience with modern high-level languages and databases including Javascript, MongoDB, and Python. ● Experience in Github, Gitlab, CI/CD, Jira, unit testing, integration testing, regression testing, and collaborative documentation. ● Expertise with GCP, Kubernetes, Docker, or containerization, is a great plus. ● Ability to write and assess clean, functional, high quality and testable code for each of our projects. ● Positive and proactive, solution-focused contributor and team motivation.

Job Title: AI Solutioning Architect – Healthcare IT

Role Summary:

The AI Solutioning Architect leads the design and implementation of AI-driven solutions across the organization, ensuring alignment with business goals and healthcare IT standards. This role defines the AI/ML architecture, guides technical execution, and fosters innovation using platforms like Google Cloud (GCP).

Key Responsibilities:

• Architect scalable AI solutions from data ingestion to deployment.
• Align AI initiatives with business objectives and regulatory requirements (HIPAA).
• Collaborate with cross-functional teams to deliver AI projects.
• Lead POCs, evaluate AI tools/platforms, and promote GCP adoption.
• Mentor technical teams and ensure best practices in MLOps.
• Communicate complex concepts to diverse stakeholders.

Qualifications:

• Bachelor’s/Master’s in Computer Science or related field.
• 12+ years in software development/architecture with strong AI/ML focus.
• Experience in healthcare IT and compliance (HIPAA).
• Proficient in Python/Java and ML frameworks (TensorFlow, PyTorch).
• Hands-on with GCP (preferred) or other cloud platforms.
• Strong leadership, problem-solving, and communication skills.

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

Strong proficiency in at least one major cloud platform - Azure, GCP(Primary) or AWS. Azure + GCP (Secondary) preferred.  Having proficiency in all 3 is a significant plus.

· Design, develop, and maintain cloud-based applications and infrastructure across various cloud platforms.

· Select and configure appropriate cloud services based on specific project requirements and constraints. 

· Implement infrastructure automation with tools like Terraform and Ansible. 

· Write clean, efficient, and well-documented code using various programming languages. (Python (Required), Knowledge of Java, C#, JavaScript is a plus). 

· Implement RESTful APIs and microservices architectures. 

· Utilize DevOps practices for continuous integration and continuous delivery (CI/CD). 

· Design, configure, and manage scalable and secure cloud infrastructure for MLOps. 

· Monitor and optimize cloud resources for performance and cost efficiency. 

· Implement security best practices throughout the development lifecycle. 

· Collaborate with developers, operations, and security teams to ensure seamless integration and successful deployments. 

· Stay up-to-date on the latest cloud technologies, MLOps tools and trends 

· Strong analytical and problem-solving skills.

Position : Senior Data Analyst

Experience Required : 5 to 8 Years

Location : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)

Shift Timing : 11:00 AM – 8:00 PM IST

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.

The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.

Key Responsibilities :

• Lead the design, execution, and delivery of advanced data analysis projects.
• Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.
• Create and maintain interactive dashboards, reports, and visualizations.
• Perform root cause analysis and uncover meaningful patterns from large datasets.
• Present analytical findings to senior leaders and non-technical audiences.
• Maintain data integrity, quality, and governance in all reporting and analytics solutions.
• Mentor junior analysts and support their professional development.
• Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.

Must-Have Skills :

• Strong proficiency in SQL and Databricks
• Hands-on experience with cloud data platforms (AWS, Azure, or GCP)
• Sound understanding of data warehousing concepts and BI best practices

Good-to-Have :

• Experience with AWS
• Exposure to machine learning and predictive analytics
• Industry-specific analytics experience (preferred but not mandatory)

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

Full Stack Developer

Location: Hyderabad

Experience: 7+ Years

Type: BCS - Business Consulting Services

RESPONSIBILITIES:

* Strong programming skills in Node JS [ Must] , React JS, Android and Kotlin [Must]

* Hands on Experience in UI development with good UX sense understanding.  

• Hands on Experience in Database design and management

• Hands on Experience to create and maintain backend-framework for mobile applications.

• Hands-on development experience on cloud-based platforms like GCP/Azure/AWS

• Ability to manage and provide technical guidance to the team.

• Strong experience in designing APIs using RAML, Swagger, etc.  

• Service Definition Development.  

• API Standards, Security, Policies Definition and Management.

REQUIRED EXPERIENCE:

* Bachelor’s and/or master's degree in computer science or equivalent work experience

* Excellent analytical, problem solving, and communication skills.

* 7+ years of software engineering experience in a multi-national company

* 6+ years of development experience in Kotlin, Node and React JS

* 3+ Year(s) experience creating solutions in native public cloud (GCP, AWS or Azure)

* Experience with Git or similar version control system, continuous integration

* Proficiency in automated unit test development practices and design methodologies

* Fluent English

Job Title : Lead Java Developer (Backend)

Experience Required : 8 to 15 Years

Open Positions : 5

Location : Any major metro city (Bengaluru, Pune, Chennai, Kolkata, Hyderabad)

Work Mode : Open to Remote / Hybrid / Onsite

Notice Period : Immediate Joiner/30 Days or Less

About the Role :

• We are looking for experienced Lead Java Developers who bring not only strong backend development skills but also a product-oriented mindset and leadership capability.
• This is an opportunity to be part of high-impact digital transformation initiatives that go beyond writing code—you’ll help shape future-ready platforms and drive meaningful change.
• This role is embedded within a forward-thinking digital engineering team that thrives on co-innovation, lean delivery, and end-to-end ownership of platforms and products.

Key Responsibilities :

• Design, develop, and implement scalable backend systems using Java and Spring Boot.
• Collaborate with product managers, designers, and engineers to build intuitive and reliable digital products.
• Advocate and implement engineering best practices : SOLID principles, OOP, clean code, CI/CD, TDD/BDD.
• Lead Agile-based development cycles with a focus on speed, quality, and customer outcomes.
• Guide and mentor team members, fostering technical excellence and ownership.
• Utilize cloud platforms and DevOps tools to ensure performance and reliability of applications.

What We’re Looking For :

• Proven experience in Java backend development (Spring Boot, Microservices).
• 8+ Years of hands-on engineering experience with at least 2+ years in a Lead role.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Good understanding of containerization and orchestration tools like Docker and Kubernetes.
• Exposure to DevOps and Infrastructure as Code practices.
• Strong problem-solving skills and the ability to design solutions from first principles.
• Prior experience in product-based or startup environments is a big plus.

Ideal Candidate Profile :

• A tech enthusiast with a passion for clean code and scalable architecture.
• Someone who thrives in collaborative, transparent, and feedback-driven environments.
• A leader who takes ownership beyond individual deliverables to drive overall team and project success.

Interview Process

1. Initial Technical Screening (via platform partner)
2. Technical Interview with Engineering Team
3. Client-facing Final Round

Additional Info :

• Targeting profiles from product/startup backgrounds.
• Strong preference for candidates with under 1 month of notice period.
• Interviews will be fast-tracked for qualified profiles.

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Dear,

We are excited to inform you about an exclusive opportunity at Xebia for a Senior Backend Engineer role.

📌 Job Details:

• Role: Senior Backend Engineer
•  Shift: 1 PM – 10 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or up to 30 days

🔹 Job Responsibilities:

✅ Design and develop scalable, reliable, and maintainable backend solutions

✅ Work on event-driven microservices architecture

✅ Implement REST APIs and optimize backend performance

✅ Collaborate with cross-functional teams to drive innovation

✅ Mentor junior and mid-level engineers

🔹 Required Skills:

✔ Backend Development: Scala (preferred), Java, Kotlin

✔ Cloud: AWS or GCP

✔ Databases: MySQL, NoSQL (Cassandra)

✔ DevOps & CI/CD: Jenkins, Terraform, Infrastructure as Code

✔ Messaging & Caching: Kafka, RabbitMQ, Elasticsearch

✔ Agile Methodologies: Scrum, Kanban

⚠ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response! Also, feel free to refer anyone in your network who might be a good fit.

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

We are seeking a highly skilled and experienced Offshore Data Engineer . The role involves designing, implementing, and testing data pipelines and products.

Qualifications & Experience:

bachelor's or master's degree in computer science, Information Systems, or a related field.

5+ years of experience in data engineering, with expertise in data architecture and pipeline development.

☁️ Proven experience with GCP, Big Query, Databricks, Airflow, Spark, DBT, and GCP Services.

️ Hands-on experience with ETL processes, SQL, PostgreSQL, MySQL, MongoDB, Cassandra.

Strong proficiency in Python and data modelling.

Experience in testing and validation of data pipelines.

Preferred: Experience with eCommerce systems, data visualization tools (Tableau, Looker), and cloud certifications.

If you meet the above criteria and are interested, please share your updated CV along with the following details:

Total Experience:

Current CTC:

Expected CTC:

Current Location:

Preferred Location:

Notice Period / Last Working Day (if serving notice):

⚠️ Kindly share your details only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

About the Role -

We’re seeking a seasoned Senior Java Engineer to drive the development of our B2B product suite. In this pivotal role, you will build robust, scalable, and intuitive applications that empower customers to seamlessly handle money movement transactions, including international payments. You will ensure technical excellence by advocating best practices, prioritizing security, enhancing development processes, and championing a quality-first mindset.

What You'll Do -

• Design and Development: Create robust, efficient, and scalable backend services using Java and Spring Boot.

• API Development: Design, build, and maintain APIs for web and mobile applications.

• Performance and Security: Ensure application performance, scalability, and security best practices.

• Cloud Integration: Collaborate with cross-functional teams to integrate cloud services into our backend infrastructure.

• Code Quality: Write high-quality, maintainable code that adheres to industry standards.

• Mentorship: Support junior and mid-level team members, conduct code reviews, and foster a culture of continuous improvement.

What You’ll Need -

• 5+ years of professional experience as a Backend Engineer.

• Experience showing strong problem-solving skills and a passion for creating user-centric solutions.

• Core Java proficiency. A strong command of the Java language, including object-oriented programming, design patterns, exception handling, and memory management.

• Spring Framework (including Spring Boot)- In-depth knowledge of Spring, especially Spring Boot for building efficient and scalable backend applications.

• Understanding of Spring components like controllers, services, repositories, and security.

• RESTful API Development: Proficiency in designing and implementing RESTful APIs.

Bonus Points -

• Mastery over Java’s core APIs, such as collections, streams, and concurrency frameworks.

• Experience within a B2B fintech environment would be highly desirable

• Database-driven performance query optimization and Kafka messaging systems

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Key Responsibilities:

• Azure Cloud Sales & Solutioning: Lead Microsoft Azure cloud sales efforts across global regions, delivering solutions for applications, databases, and SAP servers based on customer requirements.
• Customer Engagement: Act as a trusted advisor for customers, leading them through their cloud transformation by understanding their requirements and recommending suitable cloud solutions.
• Lead Generation & Cost Optimization: Generate leads independently, provide cost-optimized Azure solutions, and continuously work to maximize value for clients.
• Sales Certifications: Hold basic Microsoft sales certifications (Foundation & Business Professional).
• Project Management: Oversee and manage Azure cloud projects, including setting up timelines, guiding technical teams, and communicating progress to customers. Ensure the successful completion of project objectives.
• Cloud Infrastructure Expertise: Maintain a deep understanding of Azure cloud infrastructure and services, including migrations, disaster recovery (DR), and cloud budgeting.
• Billing Management: Manage Azure billing processes, including subscription-based invoicing, purchase orders, renewals, license billing, and tracking expiration dates.
• Microsoft License Sales: Expert in selling Microsoft licenses such as SQL, Windows, and Office 365.
• Client Collaboration: Schedule meetings with internal teams and clients to align on project requirements and ensure effective communication.
• Customer Management: Track leads, follow up on calls, and ensure customer satisfaction by resolving issues and optimizing cloud resources. Provide regular updates on Microsoft technologies and programs.
• Field Sales: Participate in presales meetings and client visits to gather insights and propose cloud solutions.
• Internal Collaboration: Work closely with various internal departments to achieve project results and meet client expectations.

Qualifications:

• 1-3+ years of experience selling or consulting with corporate/public sector/ enterprise customers on Microsoft Azure cloud.
• Proficient in Azure cost optimization, cloud infrastructure, and sales of cloud solutions to end customers.
• Experience in generating leads and tracking sales progress.
• Project management experience with strong organizational skills.
• Ability to work collaboratively with internal teams and customers.
• Strong communication and problem-solving skills.

• SHIFT: DAY SHIFT
• WORKING DAYS: MON-SAT
• LOCATION: HYDERABAD
• WORK MODEL: WORK FROM THE OFFICE

REQUIRED QUALIFICATIONS:

• A degree in Computer Science or equivalent - Graduation

BENEFITS FROM THE COMPANY: 

• High chance of Career Growth.
• Flexible working hours and the best infrastructure.
• Passionate Team Members surround you.

Job Summary:

As a Cloud Architect at organization, you will play a pivotal role in designing, implementing, and maintaining our multi-cloud infrastructure. You will work closely with various teams to ensure our cloud solutions are scalable, secure, and efficient across different cloud providers. Your expertise in multi-cloud strategies, database management, and microservices architecture will be essential to our success.

Key Responsibilities:

• Design and implement scalable, secure, and high-performance cloud architectures across multiple cloud platforms (AWS, Azure, Google Cloud Platform).
• Lead and manage cloud migration projects, ensuring seamless transitions between on-premises and cloud environments.
• Develop and maintain cloud-native solutions leveraging services from various cloud providers.
• Architect and deploy microservices using REST, GraphQL to support our application development needs.
• Collaborate with DevOps and development teams to ensure best practices in continuous integration and deployment (CI/CD).
• Provide guidance on database architecture, including relational and NoSQL databases, ensuring optimal performance and security.
• Implement robust security practices and policies to protect cloud environments and data.
• Design and implement data management strategies, including data governance, data integration, and data security.
• Stay-up-to-date with the latest industry trends and emerging technologies to drive continuous improvement and innovation.
• Troubleshoot and resolve cloud infrastructure issues, ensuring high availability and reliability.
• Optimize cost and performance across different cloud environments.

Qualifications/ Experience & Skills Required:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 10 - 15 Years
• Proven experience as a Cloud Architect or in a similar role, with a strong focus on multi-cloud environments.
• Expertise in cloud migration projects, both lift-and-shift and greenfield implementations.
• Strong knowledge of cloud-native solutions and microservices architecture.
• Proficiency in using GraphQL for designing and implementing APIs.
• Solid understanding of database technologies, including SQL, NoSQL, and cloud-based database solutions.
• Experience with DevOps practices and tools, including CI/CD pipelines.
• Excellent problem-solving skills and ability to troubleshoot complex issues.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.
• Deep understanding of cloud security practices and data protection regulations (e.g., GDPR, HIPAA).
• Experience with data management, including data governance, data integration, and data security.

Preferred Skills:

• Certifications in multiple cloud platforms (e.g., AWS Certified Solutions Architect, Google Certified Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with cloud cost management and optimization tools.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

.

Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

Required Qualifications: 

∙Bachelor’s degree in computer science, Information Technology, or related field, or equivalent experience. 

∙5+ years of experience in a DevOps role, preferably for a SaaS or software company. 

∙Expertise in cloud computing platforms (e.g., AWS, Azure, GCP). 

∙Proficiency in scripting languages (e.g., Python, Bash, Ruby). 

∙Extensive experience with CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI). 

∙Extensive experience with NGINX and similar web servers. 

∙Strong knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). 

∙Familiarity with infrastructure-as-code tools (e.g. Terraform, CloudFormation). 

∙Ability to work on-call as needed and respond to emergencies in a timely manner. 

∙Experience with high transactional e-commerce platforms.

Preferred Qualifications: 

∙Certifications in cloud computing or DevOps are a plus (e.g., AWS Certified DevOps Engineer, 

Azure DevOps Engineer Expert). 

∙Experience in a high availability, 24x7x365 environment. 

∙Strong collaboration, communication, and interpersonal skills. 

∙Ability to work independently and as part of a team.

Job Description

Technical lead who will be responsible for development, managing team(s), monitoring the tasks / sprint. They will also work with BA Persons to gather the new requirements and change request. They will help solve application issues and helping developers when they are stuck.

Responsibilities

·       Design and develop application based on the architecture provided by the solution architects.

·       Help team members and co developers to achieve their tasks.

·       Maintain / monitor the new work items and support issues and have to assign it to the respective developers.

·       Communicate with BA persons and Solution architects for the new requirements and change requests.

·       Resolve any support tickets with the help of your team within service timelines.

·       Manage sprint to achieve the targets.

Technical Skills

·       Microsoft .NET MVC

·       .NET Core 3.1 or greater

·       C#

·       Web API

·       Async Programming, Threading, and tasks

·       Test Driven Development 

·       Strong expert in SQL (Table Design, Programing, Optimization)

·       Azure Functions

·       Azure Storage

·       MongoDB, NoSQL

Qualifications/Skills Desired:

·       Any Bachelor’s degree relevant to Computer Science. MBA or equivalent is a plus

·       Minimum of 8-10 years IT experience and managing a team(s) out of which 4-5 years should be as a technical/team lead.

·       Strong verbal and written communication skills with the ability to adapt to many different personalities and conflict resolution skills required

·       Must have excellent organizational and time management skills with strong attention to detail

·       Confidentiality with privacy-sensitive customer and employee documents

·       Strong work ethic - demonstrate good attitude and judgment, discretion, and maintain high level of confidentiality

·       Previous experience of customer interactions

Position: Technical Architect

Location: Hyderabad

 Experience: 6+ years

Job Summary:

We are looking for an experienced Technical Architect with a strong background in Python, Node.js, and React to lead the design and development of complex and scalable software solutions. The ideal candidate will possess exceptional technical skills, a deep understanding of software architecture principles, and a proven track record of successfully delivering high-quality projects. You should be capable of leading a cross-functional team that's responsible for the full software development life cycle, from conception to deployment with Agile methodologies.

Responsibilities:

●       Lead the design, development, and deployment of software solutions, ensuring architectural integrity and high performance.

●       Collaborate with cross-functional teams, including developers, designers, and product managers, to define technical requirements and create effective solutions.

●       Provide technical guidance and mentorship to development teams, ensuring best practices and coding standards are followed.

●       Evaluate and recommend appropriate technologies, frameworks, and tools to achieve project goals.

●       Drive continuous improvement by staying updated with industry trends, emerging technologies, and best practices.

●       Conduct code reviews, identify areas of improvement, and promote a culture of excellence in software development.

●       Participate in architectural discussions, making strategic decisions and aligning technical solutions with business objectives.

●       Troubleshoot and resolve complex technical issues, ensuring optimal performance and reliability of software applications.

●       Collaborate with stakeholders to gather and analyze requirements, translating them into technical specifications.

●       Define and enforce architectural patterns, ensuring scalability, security, and maintainability of systems.

●       Lead efforts to refactor and optimize existing codebase, enhancing performance and maintainability.

Qualifications:

●       Bachelor's degree in Computer Science, Software Engineering, or a related field. Master's degree is a plus.

●       Minimum of 8 years of experience in software development with a focus on Python, Node.js, and React.

●       Proven experience as a Technical Architect, leading the design and development of complex software systems.

●       Strong expertise in software architecture principles, design patterns, and best practices.

●       Extensive hands-on experience with Python, Node.js, and React, including designing and implementing scalable applications.

●       Solid understanding of microservices architecture, RESTful APIs, and cloud technologies (AWS, GCP, or Azure).

●       Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

●       Should create automation test cases and unit test cases (optional)

●       Proficiency in database design, optimization, and data modeling.

●       Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).

●       Excellent problem-solving skills and the ability to troubleshoot complex technical issues.

●       Strong communication skills, both written and verbal, with the ability to effectively interact with cross-functional teams.

●       Prior experience in mentoring and coaching development teams.

●       Strong leadership qualities with a passion for technology innovation.

●        have experience in using Linux-based development environments using GitHub and CI/CD

●       Atlassian stack (JIRA/Confluence)

Golang Developer

Location: Chennai/ Hyderabad/Pune/Noida/Bangalore

Experience: 4+ years

Notice Period: Immediate/ 15 days

Job Description:

• Must have at least 3 years of experience working with Golang.
• Strong Cloud experience is required for day-to-day work.
• Experience with the Go programming language is necessary.
• Good communication skills are a plus.
• Skills- Aws, Gcp, Azure, Golang

Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.

YOU WILL:

• Plan for future infrastructure as well as maintain & optimize the existing infrastructure. 
• Conceptualize, architect, and build:
• 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
• 2. Infrastructure using Docker, Kubernetes, and other serverless platforms; 
• 3. Secured network utilizing VPCs with inputs from the security team. 
• Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
• Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments. 
• Triage release of applications/ Hotfixes to the production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
• Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
• Scale Electum platform to handle millions of requests concurrently.
• Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery

PREREQUISITES:

• Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
• Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
• At least 2 years of experience in building and owning serverless infrastructure.
• At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
• Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
• Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have prior experience automating deployments to production and lower environments.
• Worked on providing solutions for major automation with scripts or infrastructure.
• Experience with APM tools such as DataDog and log management tools.
• Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Experience establishing and enforcing:
• 1. System monitoring tools and standards
• 2. Risk Assessment policies and standards
• 3. Escalation policies and standards
• Excellent DevOps engineering, team management, and collaboration skills.
• Advanced knowledge of programming languages such as Python and writing code and scripts.
• Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Looking for technical lead in .Net who are having good experience in .net Domain with cloud platform along with data structure and algorithms.

looking only for immediate joiners in Hyderabad region.

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

POSITION SUMMARY:

We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.

EXPERIENCE

7- 9+ Years – Software Engineer III

PRIMARY RESPONSIBILITIES:

• Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.

• Work closely with the customers and understand the requirements and get it done on timelines.

• Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.

• Work closely with the Team and complete the deliverables on-time

• Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.

• Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.

• Drive automation efforts for the configuration and maintainability of the public/private Cloud.  

• Lead product selection for replacement or new technologies

• Address user tickets in a timely manner for the covered services

• Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.

• Migration and consolidations of infrastructure

• Design and implement major service and infrastructure components.

• Research, investigate and define new areas of technology to enhance existing service or new service directions.

• Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.

• Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.

• Ability to take ownership on activities and new initiatives.

• Infra Global Support from India towards product Development teams.

• On-call support on a rotational basis for a global turn-around time-zones

• Vendor Management for all latest hardware and software evaluations keep the system up-to-date.

KNOWLEDGE, SKILLS AND ABILITIES:

• Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.

• Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations

• IaaS- Infrastructure as a service, Metal as service, Platform service

• Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies

• Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)

• DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms

• Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment

• Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.

• Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect 

• Networking Skills –   Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)

• Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)

• Experience with Red Hat Ceph storage.

• A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies

• SME - subject matter expert for all cutting-edge technologies

• Data center architect professional & Storage Expert level Certified professional experience .

• A solid understanding of high availability systems, redundant networking and multipathing solutions

• Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.

• A Working experience in Object – Block – File storage Technologies

• Experience in Backup Technologies and backup administration.

• Dell/HP/Cisco UCS server’s administration is an additional advantage.

• Ability to quickly learn and adopt new technologies.

• A very very story experience and exposure towards open-source flatforms.

• A working experience on monitoring tools Zabbix, nagios , Datadog etc ..

• A working experience on and BareMetal services and OS administration.

• A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.

• A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)

• A working experience with systems engineering and Linux /Unix administration

• A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL

• A working experience with automation/configuration management using either Puppet, Chef or an equivalent

• A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories

• Experience in Build system process and Code-inspect and delivery methodologies.

• Knowledge on creating Operational Dashboards and execution lane.

• Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services

• SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.

• Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.

• Experience in handling On-call Support and hierarchy process.

• Knowledge on scale-out and scale-in architecture.

• Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.

• Knowledge on Agile and Scrum principles

• Working experience with ServiceNow

• Knowledge sharing, transition experience and self-learning Behavioral.