29 jobs in Insight Global

Must Haves:

• Strong python engineering/ data science experience
• 2-3 years of experience building FastAPI based backend applications
• at least 1 year of experience in building AI agents and agent workflows
• RAG implementations end to end

Plusses:

• Copilot Studio experience, including building agents and understanding integration approaches such as publishing web or integrating via API patterns.
• Microsoft Agent Framework experience, including agent hosting patterns and integration with backend services.

Day to Day:

This resource should have experience working with Azure ecosystem tools and services, including CI/CD workflows and data services. The role involves developing production APIs, orchestrating AI workflows, integrating enterprise data, and operationalizing AI solutions. Candidates should have expertise in at least one AI framework, adapt quickly to new AI methods, and possess strong collaboration and communication skills for agile, global teamwork. This team is currently working on building out their AI Center of Excellence so they will be gathering requirements from the business and developing the use cases.

Overview

We are seeking Site Reliability Engineers (SREs) to support a modern, cloud-based application platform. These roles will focus on improving reliability, scalability, and observability across core systems while helping transition teams from reactive support to proactive engineering practices.

The ideal candidates will bring strong experience in cloud environments, application monitoring, and automation, along with the ability to collaborate closely with development teams.

Key Responsibilities

• Design, implement, and improve monitoring, alerting, and observability frameworks
• Support and enhance cloud-based applications and platform reliability
• Troubleshoot production issues and conduct root cause analysis
• Partner with engineering teams to improve system performance, scalability, and resiliency
• Automate operational tasks and workflows to reduce manual intervention
• Improve incident response processes and reduce downtime
• Support and monitor containerized environments (Kubernetes)
• Contribute to establishing SRE best practices and standards

Must-Haves

• Experience working as a Site Reliability Engineer or similar role
• Mid-Level: ~3–5 years SRE experience (5–8 years total IT)
• Senior: ~6–8+ years SRE experience (10+ years total IT)
• Strong experience in Azure cloud environment
• Hands-on experience with monitoring and observability tools (e.g., Elastic, Prometheus, Grafana, or similar)
• Experience supporting production applications (application-focused SRE vs infrastructure-only)
• Knowledge of Kubernetes (AKS) for monitoring, alerting, or administration
• Ability to troubleshoot and debug applications , including reading and understanding code
• Familiarity with .NET/C# application environments
• Experience with databases (SQL and/or NoSQL such as Cosmos DB, PostgreSQL, etc.)

Plusses

• Experience in multi-cloud or hybrid-cloud environments (Azure + AWS/GCP)
• Exposure to EKS or non-Azure Kubernetes environments
• Experience supporting single-page applications (e.g., Angular)
• Strong background in automation and scripting
• Prior experience helping teams transition to SRE best practices
• Experience working in global or distributed teams

Role Summary

Builds and maintains robust backend systems with a strong focus on microservices, REST API design, and secure, scalable data processing. Contributes to IoT and time‑series data solutions, Azure‑native development, and performance optimization while actively participating in architectural discussions and Agile delivery.

Key Responsibilities

• Design, develop, and maintain backend services using C#.NET Framework and .NET Core within microservices‑based architectures.

• Build and consume REST APIs to support scalable and modular service communication.

• Develop and optimize data persistence using SQL Server and Entity Framework.

• Implement domain‑driven design principles across backend components.

• Support IoT and edge‑compute scenarios, including device telemetry and local data processing.

• Integrate with message and event brokers such as Azure Event Hub, Kafka, and SignalR.

• Apply secure service‑to‑service communication using OAuth/OIDC authentication patterns.

• Contribute to Azure‑native development, performance tuning, and backend scalability.

• Ensure code quality and security through CI/CD pipelines, GitHub workflows, SonarQube analysis, and Coverity scanning.

• Develop unit and integration tests to ensure reliability and maintainability.

• Participate in architectural reviews, backlog refinement, and sprint planning activities.

• Collaborate closely with architects, frontend developers, DevOps, QA, and V&V teams.

• Leverage Agentic AI (Copilot) tools to improve developer efficiency and code quality.

Requirements

• 7-10 years of experience in backend or full‑stack software development.

• Strong hands‑on experience with C#.NET Framework, .NET Core, and RESTful API development.

• Solid understanding of microservices architecture and domain‑driven design.

• Experience with SQL Server, Entity Framework, and data‑centric application design.

• Familiarity with Azure cloud services and CI/CD pipelines.

• Exposure to IIoT, IoT data processing, edge compute, and containerized environments.

• Experience with message/event‑driven systems (Event Hub, Kafka, SignalR).

• Knowledge of OAuth/OIDC authentication and secure backend development practices.

• Experience using GitHub, SonarQube, and Coverity for code management and quality assurance.

• Strong collaboration skills and ability to work effectively within Agile teams.

Must Haves:

-3+yrs Python experience for data engineering and backend development

- API building using FastAPI

- Azure AI Search for building scalable search and retrieval solutions

- Strong SQL expertise

Day to Day:

This person will be responsible for designing, building and maintaining cloud native data pipelines on Azure to support analytics and GenAI workloads. They will develop data ingestion, transformation and curation of pipelines using Python, Databricks (PySpark) and ADF. They will build and maintain RESTful APIs using FastAPI for data access, feature retrieval and downstream AI/ML consumption. They will be collaborating with Data Scientists, GenAI Engineers, Analysts and application teams to understand the data and ensure data quality, observability, reliability and security. This is a remote opportunity in India working IST hours.

Required Skills & Experience

Must Haves:

• 5+ years of experience as a Technical Analyst or Data Engineering Analyst in financial services (Asset Management Preferred)

• 5+ years of experience with Oracle relational database technologies

• Strong Experience with SQL Server

• Proficiency in querying for data extraction, validation, and troubleshooting.

• Proficient/advanced Excel capabilities including pivot tables, advanced formulas, data modeling, and analysis for large datasets.

• Experience working in Agile environments (Scrum/Kanban).

• Experience with AWS

• Excellent communication skills and experience facing high level business stakeholders/clients

Nice to Have Skills & Experience

• Informatica experience

• Snowflake experience

• PostgreSQL (Aurora) is a plus

• Python experience

Salary: ₹15,00,000 – ₹25,00,000 INR (Annual CTC)

Job Description

Insight Global is seeking a Senior Technical Data Analyst or a Data Engineering Analyst sitting onsite in India to join a large financial services client. We are looking for a seasoned analyst responsible for driving analysis, solution design, and delivery across complex, high impact initiatives within a global asset management environment. Operating at the intersection of technology, data, and investment domain expertise, this role provides advanced analytical leadership, partners closely with Investments and Operations teams on the business side and the other engineering teams, and ensures that solutions align with business strategy, regulatory needs, and enterprise technology standards. Lead the discovery efforts, translating complex investment management processes into detailed functional requirements and solution proposals. This resource will act as a technical thought leader by defining end-to-end data pipeline requirements, covering all phases of data management, including Data Integration, Data Quality, Data Ingestion, Data Modeling, Data Warehousing, Data Security, Business Intelligence, and Data Analysis. You will help to oversee the implementation of new applications or enhancements to existing ones, ensuring projects are delivered on time, within budget, and meeting business requirements. This involves contributing to resource planning for analysis workstreams and functional technology needs, leveraging deep subject matter expertise across investment management domains with a broad understanding of how upstream and downstream systems interact. You will support integration initiatives involving APIs, ETL processes, and cloud-based data platform while also guiding analysts and cross-functional teams through the entire project lifecycle, including requirements, refinement, planning, UAT, and go-live. This position requires working EST Hours to overlap with U.S. team (5:30pm IST – 1:30AM IST).

- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - 7–10 years of hands-on experience supporting enterprise networks (NOC/operations experience preferred). - Strong knowledge of LAN/WAN protocols and technologies (EIGRP, OSPF, BGP, STP/RSTP). - Hands-on SD-WAN experience (VeloCloud and/or Versa). - Exposure to FortiGate firewalls, Zscaler proxy, and F5 load balancers. - Experience with Cisco Meraki and end-to-end administration of Cisco wireless solutions. - Strong verbal and written communication skills. - Ability to prioritize effectively and thrive in a fast-paced operations environment. - Commitment to continuous learning and professional development. - Vendor and stakeholder coordination skills, including working with ISPs. - Experience opening and managing Cisco TAC cases and working with support engineers through resolution. - Strong cross-functional collaboration skills; able to escalate clearly and drive issues to closure. - Experience working with ISPs to troubleshoot ILL/Internet/MPLS connectivity issues.

REMOTE in India

Data Tester

15-30 day join or less

Required Skills & Experience

Hands-on experience with AWS services: Redshift,, QuickSight

Strong SQL expertise (joins, subqueries, analytical functions)

Proficiency in MySQL

Familiarity with UNIX commands for log analysis and job monitoring. Experience with RedShfit.

Experience writing test automation scripts for data pipelines

Project Overview: This role supports a critical data migration initiative, testing the transition from a legacy application to a modernized platform. The engineer will be the sole Data QA resource, ensuring data integrity and dashboard accuracy throughout the migration.

Key Responsibilities:

Execute end-to-end testing of ETL pipelines and data warehouse migrations

Monitor and troubleshoot scripts across AWS environments

Validate QuickSight dashboards and reporting accuracy

Collaborate with engineering and leadership to ensure seamless data flow and visibility.

Automation Architect

need immediate joiner

REMOTE

contract

We are seeking an Automation Architect with deep expertise in Tricentis Tosca and SAP Finance (Procure-to-Pay / FICO) to lead automation strategy, design, and execution for large-scale enterprise transformation initiatives. This role will drive end-to-end automation frameworks, ensuring scalable, reusable, and high-quality test coverage across critical business processes.

REQUIRED SKILLS AND EXPERIENCE

• Architect-level experience with Tricentis Tosca
• Strong expertise in SAP Finance (FICO) and Procure-to-Pay (P2P) processes
• Proven experience building end-to-end automation frameworks in enterprise environments -Hands-on experience with:
• Model-based test automation
• Reusable automation design
• Data-driven testing strategies
• Strong understanding of SAP integrations and financial workflows
• Experience supporting large-scale SAP transformation or modernization initiatives
• Exposure to DevOps / CI-CD pipelines with Tosca -Strong stakeholder communication skills (business + technical alignment)
• Create and manage Tosca Execution Lists / Test Sets for: Development test runs & Regression cycles
• Execute automated test runs and monitor test stability and performance.
• Analyze results and generate detailed execution reports, including: Screenshots, Timestamps, Supporting test evidence

Required Skills & Experience

• You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.

• You have solid experience of 3+ years in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

• You are proficient in Python and have 5+ experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

• You have strong knowledge of data structures, algorithms, and software engineering principles.

• You are familiar with cloud-based platforms and services - Azure. (Azure OpenAI based)

• You have experience of 5+ years with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. (Hugging Face)

• You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

• You have knowledge of software development methodologies, such as Agile or Scrum.

• You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

• You have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

• You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Job Description

We are currently hiring a highly skilled and motivated Generative AI Engineer to

join our talented engineering team. As a Generative AI Engineer, you will be responsible for

developing and implementing cutting-edge generative AI models to solve complex problems

and drive innovation across our organization. You will work closely with data scientists,

software engineers, and product managers to design, build, and deploy AI-powered solutions

that enhance our products and services.

Responsibilities:

• Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs.

• Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

• Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.

• Optimizing existing generative AI models for improved performance, scalability, and efficiency.

• Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

• Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Contributing to the establishment of best practices and standards for generative AI development within the organization.

• Providing technical mentorship and guidance to junior team members.

Compensation

Up to $25 USD per hour, based on total years of relevant experience