Primary Skills: Java, Spring boot, REST & Microservice 5+yrs Chennai / WFO 3days Notice Period: Immediate to 15days Top-notch programming skills, with an interest in functional programming languages. - Solid Coding skills in Java/J2EE technologies with Spring Boot experience - Solid understanding of developing and supporting large scale, cloud based distributed systems. - Experience with REST based API Development - Relational DB knowledge like Postgres DB - SOA Architecture experience is needed to develop scalable APIs - Exposure to event based and asynchronous processing. - Strong operational excellence and testing skills. - Someone who values automation. We don’t like solving the same problem manually over and over. - Experience working with distributed databases (Cosmos/Cassandra/etc.) - Fluent in a few programming languages, functional, dynamic and static. - Solid understanding of how to use data structures to solve problems optimally. - Good understanding of event-driven systems. - Experience with Apache Kafka or similar streaming platform. - Understands DevOps: how to support large scale distributed systems, how to prioritize and escalate issues. Mok@teksystems.com Show more Show less
Required Skills & Qualifications: Bachelor's degree in computer science or information technology fields, or equivalent professional experiences. A Master’s Degree is preferred. 3+ years of professional site reliability and DevOps career experience. In-depth familiarity with SRE terminologies including Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, incident management, postmortem analysis, Recovery Time Objective (RTO), and Recovery Point Objective (RPO). Ability to identify organization-wide gaps in the SRE domain and identify implementable solutions that contribute to the transformation of the organization. Ability to build and lead high-performance SRE teams to consistently achieve business results. Expertise with monitoring, APM, and alerting tools like Splunk, Dynatrace, Grafana, Datadog, New Relic, etc. Experience with one or more high-level languages such as Python, Go, Java, JavaScript, C#, Ruby, PHP. Experience with CI/CD pipelines like Jenkins, ADO, GitHub Actions, or GitLab, etc. Demonstrated expertise in cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Proficiency in containerization and orchestration technologies such as Docker, Kubernetes, or OpenShift. Experience with Infrastructure as a Code (IaC) and configuration management tools like Terraform, Ansible, Chef, Puppet, or Salt. Exposure to open-source telemetry (OTel) frameworks and tools. Experience with tools like ServiceNow, PagerDuty, XMatters, etc. Strong communication skills and ability to partner across organizations. Ability to create technical documents on SRE best practices and processes. Show more Show less
Required Experience : 4+ years in to IT with atleast 3 +years into Data Engineer role Responsibilities: Proficient in GCP BigQuery -Dataset creation – Schemas, tables, materialized views -Proficiency in data processing from Pub/Sub to BigQuery to Analytics Hub. -Designing data schemas to align with BigQuery-native structures. -Optimization or testing for production-level loads. -Publish transaction data into BigQuery. Required Skills : GCP, BigQuery, Dataflow, SQL Show more Show less
Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts : Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development. Expertise in working with data warehousing solutions like Redshift. Show more Show less
We are seeking a highly skilled Microsoft 365 (M365) Engineer to support identity and messaging initiatives within our organization. The ideal candidate will possess deep expertise in M365 services, large-scale migration projects, and identity management solutions. This is a key technical role for ensuring seamless integration, migration, and management across multiple platforms while adhering to best practices for security and automation. About the Role Essential Duties and Responsibilities Manage and support Microsoft 365 services, including Exchange Online/on-prem, and Azure Active Directory (Azure AD) across different tenants. Lead tenant-to-tenant migration projects, ensuring successful execution and delivery within specified timelines. Develop, write, and execute PowerShell scripts to automate migration tasks, including data extraction and user mapping. Utilize migration tools such as Microsoft's built-in solutions, BitTitan, ShareGate, Quest On Demand Migration, and other third-party platforms for effective data transfer and integration. Troubleshoot and resolve issues arising during migration processes to ensure operational continuity. Configure and maintain Microsoft Entra Connect and ensure seamless synchronization between on-premises and cloud environments. Manage Active Directory, Azure AD, and Microsoft Exchange environments, including MFA, Least Privilege, and Just-in-Time Administration implementations. Collaborate on User/Identity lifecycle management, including processes for joiners, movers, and leavers via Sailpoint/Identity Now. Qualifications Education: Bachelor’s degree in information technology, Computer Science, or a related field (or equivalent professional experience). Minimum of 5 years of hands-on experience in M365 engineering, tenant migrations, and identity management. Experience driving continuous process improvement based on industry standards and business goals. Ability to appropriately prioritize and plan complex work in a rapidly changing environment. Ability to collaborate across teams to develop, document, and improve processes. Ability to understand business processes and translate them into technical specifications. Excellent oral and written communication skills (English language). Strong conceptual and analytical skills, which demonstrate unique problem-solving approaches. Customer-focused approach with outstanding interpersonal skills. Required Skills Deep expertise in M365 services. Experience with large-scale migration projects. Identity management solutions. Preferred Skills Experience with migration tools such as BitTitan, ShareGate, Quest On Demand Migration. Knowledge of Microsoft Entra Connect.
About the Role The onshore engineer will play a crucial role in defining the initial backlog of work for the re-platforming effort, collaborating c Responsibilities Golang/Typescript Containers (Docker, Kubernetes) AWS Required Skills Golang/Typescript Containers (Docker, Kubernetes) AWS Preferred Skills Experience with PII data security measures.
Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts : Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development. Expertise in working with data warehousing solutions like Redshift.
About the Role The Support Engineer role is crucial for ensuring the smooth functioning of our technical support services. You will be the point of escalation for frontline engineers and will play a key role in troubleshooting and resolving complex issues. Responsibilities 4+ years IT support operations experience with a minimum of 1 year in a Level-2 role as a point of escalation for frontline engineers Experience with ticket creation, including incident management and metrics reporting Experience supporting microservices architecture Proven ability to troubleshoot and identify the root cause of issues. You're a natural problem solver! Demonstrated skill and passion for operational excellence, efficiency, and process improvement Clear and concise verbal and written communication skills, and experience writing process and training documentation and technical papers Strong organizational skills and a proven ability to multi-task Excellent interpersonal and customer relationship skills Experience providing technical support for streaming video delivery pipelines and OTT consumer devices Understanding of video encoding and transcoding technologies Fundamental knowledge of AWS technologies and networking concepts Experience with on-site, live video production or master control facility Experience in a Technical Customer Support role Experience in a technical QA role Experience with software development or scripting in common languages like JavaScript/React/Typescript or Python Required Skills Proven Troubleshooting Skills Strong Communication Skills Organizational Skills Technical Support Experience Preferred Skills Experience with microservices architecture Knowledge of video encoding and transcoding technologies Familiarity with AWS technologies
Job Description: Good at Observability (Expertise in one of these: Datadog or Dynatrace for Dashboards, Alerting, RUM (Real time user monitoring), logs, traces, metrics, and synthetic monitoring). Expertise with monitoring, APM, and alerting tools like Dynatrace. Demonstrated expertise in cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as a Code (IaC) and configuration management tools like Terraform, Ansible, Chef, Puppet, or Salt. Experience with tools like ServiceNow, PagerDuty, XMatters, etc. Strong communication skills and ability to partner across organizations.
You are a young SQL Server DBA with a good background in SQL Server administration. Your primary responsibility will be to manage and administer SQL Server databases hosted on On-Prem or cloud infrastructure. You will design, implement, and optimize database solutions for performance, scalability, and reliability. It will also be your duty to monitor database performance, troubleshoot issues, and implement performance tuning techniques to optimize database performance. Furthermore, you will implement and maintain database security policies and procedures in accordance with industry best practices and compliance standards. Your role will involve automating database administration tasks wherever possible. To qualify for this position, you must have a minimum of 3-4 years of experience as a SQL Server Database Administrator. You should possess a strong proficiency in SQL Server administration, including installation, configuration, and maintenance. Additionally, you must have a solid understanding of SSRS, T-SQL, Database Tuning, Query Tuning, Backup & Recovery. Excellent communication and collaboration skills are also essential for this role.,
About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Job Description: Experience with requirement gathering, understanding customer needs, and designing processes aligned with client expectations and ITIL best practices. About the Role: Experienced in using Agile methodologies to implement and manage projects effectively. Responsibilities: Hands-on experience in implementing ServiceNow for ITSM and ITBM modules including: Incident Management Change Management Problem Management Service Request Management Project Management Service Portal Workflow configuration Proficient in developing and maintaining essential project documentation such as process flows, presentations, Sprint Planning, and Project Planning artifacts. Strong ability to analyse and write User Stories based on Business Requirement Documents (BRDs) and Functional Requirement Documents (FRDs). Experienced in Sprint planning, designing and dividing user stories based on detailed requirement analysis. Ensures ITSM tool configurations (specifically in ServiceNow) are aligned with the Functional Requirement Specifications (FRS). Good understanding of Software Development Life Cycle (SDLC) methodologies, including both Waterfall and Agile frameworks. Expertise in gathering, analysing, and documenting business requirements, and preparing comprehensive BRDs and FRSs. Effectively coordinates with stakeholders to translate business needs into actionable project plans. Strong in time management and consistent communication, providing regular updates to both customers and internal teams.
About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).
As the technical platform Subject Matter Expert (SME), you will play a crucial role in concept development, design, and feasibility analysis. You will establish standards and best practices within the chapter or capability, ensuring adherence to these guidelines. It is essential to maintain an appropriate level of technical documentation to support platform usage effectively. Your expertise will be sought by the Platform Owner for advice on platform usage, comparison with other platforms, and thought leadership on related technologies. Collaboration with stakeholders to understand business requirements and contribute to pre-sales activities is a key responsibility. Proactively suggesting new features or tools will be part of your role. Alignment and communication with other service lines on overarching practices and approaches are necessary for successful integration. You will focus on ensuring the reusability of features within business functions and educating service managers on upcoming features and capabilities. Experience in OMNI scripts or FSL will be advantageous, and a willingness to explore industry-focused solutions like Health Cloud, Data Cloud, and Agentforce AI is desired. In terms of technical skills, you should have a strong background in Salesforce, particularly in either the base cloud sales or service domain. Proficiency in developing Apex classes, Apex test classes, Visualforce pages, Lightning Aura components, and Lightning Web components is essential. Your responsibilities will include developing and customizing Salesforce applications using various technologies, executing unit tests for code coverage and functionality validation, and working with flows, custom objects, and approval processes. Integration of Salesforce with third-party systems using REST and SOAP APIs will be part of your duties, and you will utilize Bitbucket for managing code changes and deployment across different environments. Providing technical expertise and guidance to team members, participating in code reviews to ensure quality and best practices adherence, and staying updated with Salesforce updates and new technologies are critical aspects of this role. A minimum of three Salesforce certifications is required for this position.,
Cloud and AWS Expertise: In-depth knowledge of AWS services related to data engineering: EC2, S3, RDS, DynamoDB, Redshift, Glue, Lambda, Step Functions, Kinesis, Iceberg, EMR, and Athena. Strong understanding of cloud architecture and best practices for high availability and fault tolerance. Data Engineering Concepts : Expertise in ETL/ELT processes, data modeling, and data warehousing. Knowledge of data lakes, data warehouses, and big data processing frameworks like Apache Hadoop and Spark. Proficiency in handling structured and unstructured data. Programming and Scripting: Proficiency in Python, Pyspark and SQL for data manipulation and pipeline development. Expertise in working with data warehousing solutions like Redshift.
We are seeking a highly skilled and experienced AWS Architect with a strong background in Data Engineering and expertise in Generative AI. In this pivotal role, you will be responsible for designing, building, and optimizing scalable, secure, and cost-effective data solutions that leverage the power of AWS services, with a particular focus on integrating and managing Generative AI capabilities. The ideal candidate will possess a deep understanding of data architecture principles, big data technologies, and the latest advancements in Generative AI, including Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). You will work closely with data scientists, machine learning engineers, and business stakeholders to translate complex requirements into robust and innovative solutions on the AWS platform. Responsibilities: • Architect and Design: Lead the design and architecture of end-to-end data platforms and pipelines on AWS, incorporating best practices for scalability, reliability, security, and cost optimization. • Generative AI Integration: Architect and implement Generative AI solutions using AWS services like Amazon Bedrock, Amazon SageMaker, Amazon Q, and other relevant technologies. This includes designing RAG architectures, prompt engineering strategies, and fine-tuning models with proprietary data (knowledge base). • Data Engineering Expertise: Design, build, and optimize ETL/ELT processes for large-scale data ingestion, transformation, and storage using AWS services such as AWS Glue, Amazon S3, Amazon Redshift, Amazon Athena, Amazon EKS and Amazon EMR. • Data Analytics: Design, build, and optimize analytical solutions for large-scale data ingestion, analytics and insights using AWS services such as AWS Quicksight • Data Governance and Security: Implement robust data governance, data quality, and security measures, ensuring compliance with relevant regulations and industry best practices for both traditional data and Generative AI applications. • Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and Generative AI workloads, ensuring efficient resource utilization and optimal response times. • Technical Leadership: Act as a subject matter expert and provide technical guidance to data engineers, data scientists, and other team members. Mentor and educate on AWS data and Generative AI best practices. • Collaboration: Work closely with cross-functional teams, including product owners, data scientists, and business analysts, to understand requirements and deliver impactful solutions. • Innovation and Research: Stay up-to-date with the latest AWS services, data engineering trends, and advancements in Generative AI, evaluating and recommending new technologies to enhance our capabilities. • Documentation: Create comprehensive technical documentation, including architectural diagrams, design specifications, and operational procedures. • Cost Management: Monitor and optimize AWS infrastructure costs related to data and Generative AI workloads. Required Skills and Qualifications: • 12+ years of experience in data engineering, data warehousing, or big data architecture. • 5+ years of experience in an AWS Architect role, specifically with a focus on data. • Proven experience designing and implementing scalable data solutions on AWS. • Strong hands-on experience with core AWS data services, including: o Data Storage: Amazon S3, Amazon Redshift, Amazon DynamoDB, Amazon RDS o Data Processing: AWS Glue, Amazon EMR, Amazon EKS, AWS Lambda, Informatica o Data Analytic: Amazon Quicksight, Amazon Athena, Tableau o Data Streaming: Amazon Kinesis, AWS MSK o Data Lake: AWS Lake Formation • Strong competencies in Generative AI, including: o Experience with Large Language Models (LLMs) and Foundation Models (FMs). o Hands-on experience with Amazon Bedrock (including model customization, agents, and orchestrations). o Understanding and experience with Retrieval Augmented Generation (RAG) architectures and vector databases (e.g., Amazon OpenSearch Service for vector indexing). o Experience with prompt engineering and optimizing model responses. o Familiarity with Amazon SageMaker for building, training, and deploying custom ML/Generative AI models. o Knowledge of Amazon Q for business-specific Generative AI applications. • Proficiency in programming languages such as Python (essential), SQL, and potentially Scala or Java. • Experience with MLOps/GenAIOps principles and tools for deploying and managing Generative AI models in production. • Solid understanding of data modeling, data warehousing concepts, and data lake architectures. • Experience with CI/CD pipelines and DevOps practices on AWS. • Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. • Strong problem-solving and analytical abilities. Preferred Qualifications: • AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer – Associate/Specialty. • Experience with other Generative AI frameworks (e.g., LangChain) or open-source LLMs. • Familiarity with containerization technologies like Docker and Kubernetes (Amazon EKS). • Experience with data transformation tools like Informatica, Matillion • Experience with data visualization tools (e.g., Amazon QuickSight, Tableau, Power BI). • Knowledge of data governance tools like Amazon DataZone. • Experience in a highly regulated industry (e.g., Financial Services, Healthcare).
About the Company We are a leading IT services provider committed to delivering innovative cloud-based solutions that empower businesses to thrive in a digital world. Our mission is to leverage modern technology to enhance service reliability and drive operational excellence. We foster a culture of collaboration, inclusivity, and continuous improvement. About the Role The Service Delivery Lead will be responsible for leading the end-to-end delivery of cloud-based solutions, ensuring high-quality service and operational excellence through effective management and integration of modern tech stacks. Responsibilities Lead end-to-end delivery of cloud-based solutions using modern tech stacks Hands-on development and integration using SRE practices Manage Dynatrace Dashboards, Alerts, Davis AI, DQL, and automation workflows Oversee incident/change management and ensure service reliability Supervise and mentor global teams, including offshore resources Engage with senior stakeholders and drive delivery excellence Qualifications 8–10 years of experience in IT services 2+ years as a Service Delivery Lead Strong understanding of Agile, Waterfall, Scrum, and/or SAFe Experience in top-tier consulting environments Excellent communication and leadership skills Cloud certification or equivalent experience preferred Required Skills Strong understanding of cloud technologies and service delivery Proficiency in managing and integrating modern tech stacks Ability to lead and mentor diverse teams Preferred Skills Experience with Dynatrace and SRE practices Familiarity with incident/change management processes Equal Opportunity Statement We are an equal opportunity employer and are committed to fostering a diverse and inclusive workplace. We encourage applications from individuals of all backgrounds and experiences.
Job Title: Trainee IT Support (Windows) Location: Bangalore / Hyderabad Work Type: Full-time | Rotational Shifts (24/7 Support) Experience: Fresher Department: IT Infrastructure / Technical Support About the Role: We are looking for enthusiastic and motivated fresh graduates to join our IT Support team. This is an excellent opportunity to kickstart your career in IT with hands-on experience in Windows systems, networking, and automation tools. Key Responsibilities: Provide first-level technical support for Windows desktop and server environments Troubleshoot hardware, software, and networking issues Monitor and respond to system alerts and incidents Document issues and resolutions in the ticketing system Collaborate with senior engineers for escalated issues Work in a 24/7 rotational shift environment Required Skills & Knowledge: Excellent communication skills both verbal and written Strong understanding of IT fundamentals and Operating Systems (especially Windows) Basic knowledge of Networking concepts (IP, DNS, DHCP, etc.) Familiarity with Windows Server and Desktop Support Interest or exposure to Automation tools is a plus Ability to work in a fast-paced, team-oriented environment Eligibility Criteria: Bachelors degree in Computer Science, Information Technology, or related field Passion for technology and eagerness to learn About US: Thank you for expressing interest in a career with TEKsystems Global Services (TGS). At TEKsystems Global Services, we believe in lasting careers with room to run. Giving our people limitless opportunity to make an impact and enable the worlds largest companies to transform how they do business. Were the professional services division of TEKsystems, accounting for over $1 Billion in revenue. Were one of Indias fastest growing full-stack services companies, with about 5500 full time employees across the globe of which 2000 are in India (Bangalore and Hyderabad). TGS operates through multiple solution centers across North America, EMEA and APAC, including locations like Dallas, Redmond, Bloomington, Baltimore, Maryland, Europe (Amsterdam, London), Canada (Montreal), and Philippines (Manila). To support key areas of our growth, we acquired two companies to join our family. One North, a full-service digital agency and 1Strategy a premiere AWS service provider. Through One North were able to help our customers elevate their customer, brand and UI/UX experiences. And, through 1Strategy, were able to ensure our customers can take full advantage of the complete AWS solutions portfolio. Certifications Joining the elite team at TEKsystems Global Services, gives you runway to grow with us. Upskill faster. Surpass your peers. Even earning certifications: ISO 27001 HITRUST Certification PCI DSS Certification HIPPA Compliance PMP certified Project Managers Partnership The worlds leading technology and software providers partner with us because of our scale, full-stack capabilities and speedgiving you the room to specialize and sharpen your skills on the most innovative platforms and game-changing technology . Amazon Webservices Advanced Consulting Partner Microsoft Gold Partner Google Cloud Premier Partner Other top partnerships Snowflake, RedHat, Oracle platinum partner, Salesforce Gold partner, ServiceNow Managed Service Provider and reseller, MuleSoft, Tableau system Integrator, SailPoint Systems, Cloudera Specialized, Hortornworks Community Partner TGS offers a wide range of IT services including but not limited to delivering high end business consulting services and building applications. This is done through multiple centers of excellence including: Data Analytics Data Insights Enterprise Integration Enterprise cloud application (Salesforce and Oracle) Transformation Operation Management Continuous Development Continuous Testing Transformation Devops Cloud For more details, please visit us on https://www.teksystems.com/ https://www.teksystems.com/en-in/services https://www.teksystems.com/careers-in-india https://www.linkedin.com/company/teksystems-global-services-india/mycompany/ Show more Show less
Job Summary We are seeking a Robotic Process Automation (RPA) Engineer to design, build and operate automated processes, primarily using Microsoft Power Automate, with secondary experience in Automation Anywhere. The role includes administering these platforms as enterprise services, ensuring optimal performance, security, and compliance. The ideal candidate will have a strong understanding of business processes, workflows, and product development, with the ability to collaborate with cross-functional teams to deliver efficient automation solutions. Key Responsibilities Design, develop, and deploy RPA solutions using Microsoft Power Automate and Automation Anywhere. Analyze and map business processes to identify automation opportunities. Integrate RPA solutions with existing systems and platforms. Troubleshoot and optimize automation workflows for efficiency and reliability. Administer Power Automate environments through the Power Platform Admin Center and Automation Anywhere Control Room. Monitor and maintain RPA platforms, ensuring high availability and performance. Ensure compliance with security and governance standards in automation environments. Collaborate with business stakeholders and technical teams to align automations with business needs. Provide support and maintenance for existing automation solutions. Required Qualifications 3-5 years of experience in RPA development, with proficiency in Microsoft Power Automate and Automation Anywhere. Strong scripting skills in languages such as JavaScript, VBScript, or .NET. Experience with cloud platforms, particularly Microsoft Azure, and integration with other systems. Knowledge of administering Power Automate and Automation Anywhere platforms. Bachelors in Computer Science, IT, or related field. Excellent problem-solving, analytical, and communication skills. Preferred Skills Certifications in Microsoft Power Automate RPA Developer or Automation Anywhere. Experience with AI Builder, Process Advisor, and Microsoft Dataverse. Familiarity with Agile methodologies and tools like Jira. Knowledge of BPM platforms, like Pega, a strong plus. Show more Show less
You will be joining a leading IT services provider with a commitment to delivering innovative cloud-based solutions that empower businesses to thrive in a digital world. The company's mission revolves around leveraging modern technology to enhance service reliability and drive operational excellence. A culture of collaboration, inclusivity, and continuous improvement is fostered within the organization. As the Service Delivery Lead, your primary responsibility will be to lead the end-to-end delivery of cloud-based solutions, ensuring high-quality service and operational excellence by effectively managing and integrating modern tech stacks. Your role will involve hands-on development and integration using Site Reliability Engineering (SRE) practices, managing Dynatrace Dashboards, Alerts, Davis AI, DQL, and automation workflows. Additionally, you will oversee incident/change management processes to ensure service reliability, supervise and mentor global teams, including offshore resources, and engage with senior stakeholders to drive delivery excellence. To qualify for this role, you should have a minimum of 8-10 years of experience in IT services, with at least 2 years of experience as a Service Delivery Lead. A strong understanding of Agile, Waterfall, Scrum, and/or SAFe methodologies is required, along with experience in top-tier consulting environments. Excellent communication and leadership skills are essential, and a cloud certification or equivalent experience is preferred. Your required skills will include a strong understanding of cloud technologies and service delivery, proficiency in managing and integrating modern tech stacks, and the ability to lead and mentor diverse teams. Preferred skills for this role include experience with Dynatrace and SRE practices, as well as familiarity with incident/change management processes. The company is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace. Applications from individuals of all backgrounds and experiences are encouraged.,
Primary skill- Crossplane Notice - IMMEDIATE JOINERS ONLY Location: Bengaluru Experience: 38 years Job Type: Full-Time Work Mode: , WFO- 4 days weekly Department: Engineering / Platform Team Job Summary: We are seeking a skilled and proactive DevOps Engineer with deep expertise in Kubernetes , Crossplane , and cloud-native infrastructure to join our engineering team. You will be responsible for designing, deploying, and managing infrastructure as code using modern GitOps practices and help drive automation and scalability for our platform. Key Responsibilities: Design and implement infrastructure using Crossplane on Kubernetes clusters. Manage and optimize multi-cloud environments (AWS, Azure, or GCP) using Kubernetes-native tools. Develop and maintain CI/CD pipelines (e.g., GitHub Actions, ArgoCD, Jenkins). Set up GitOps workflows using tools like FluxCD or ArgoCD . Monitor and troubleshoot infrastructure using Prometheus, Grafana, ELK, or similar. Implement security and governance policies across cloud environments. Collaborate with developers to ensure smooth deployment and scaling of microservices. Automate infrastructure provisioning, scaling, and failover. Maintain documentation and best practices for infrastructure and operations. Required Skills: 3+ years of experience in DevOps / Site Reliability Engineering. Strong hands-on experience with Kubernetes (EKS, AKS, GKE or self-managed). Solid understanding and hands-on experience with Crossplane . Experience with IaC tools like Terraform , Helm , or Pulumi . Expertise with containerization (Docker) and container orchestration. Proficiency with cloud platforms: AWS , GCP , or Azure . Experience with GitOps workflows and CI/CD tools. Good understanding of observability, logging, and monitoring. Good to Have: Knowledge of security best practices (e.g., OPA/Gatekeeper, Kyverno). Experience with service mesh technologies like Istio or Linkerd. Familiarity with Kubernetes Operators and CRDs. Programming/scripting skills (Python, Go, or Bash). Certification in Kubernetes (CKA/CKAD) or cloud providers is a plus. Why Join Us: Work with cutting-edge cloud-native technologies. Collaborative and fast-paced DevOps culture. Opportunity to innovate and automate at scale. Flexible working hours and learning opportunities. Show more Show less