AWS Devops Jobs in Hyderabad

Senior Software Developer ASP.NET Location: Hyderabad (Onsite) Experience: 5+ Years Job Type: Full-Time Openings: 3 Category: IT Job Overview We are looking for an experienced Senior ASP.NET Developer to design, develop, and maintain enterprise-grade cloud applications. This role requires strong backend expertise in ASP.NET and SQL Server, with hands-on knowledge of web technologies, deployment on IIS, and integrating third-party services. You ll collaborate with cross-functional teams to deliver scalable, secure, and high-performance software solutions that align with business goals. Key Responsibilities Application Development & Optimization Design, develop, and maintain web-based applications using ASP.NET, C#, Web API, and SQL Server. Build responsive UI with HTML5, JavaScript, AJAX, and jQuery. Optimize SQL queries, stored procedures, and database indexing for performance and scalability. Ensure architectural soundness, security, and code maintainability. Software Development Lifecycle Participate in the full SDLC: from concept and requirements gathering to deployment and maintenance. Work closely with UI/UX designers to deliver seamless and user-friendly interfaces. Conduct unit testing, debugging, and ensure software reliability. Collaborate with QA teams for testing and defect resolution. Integration & Deployment Integrate external APIs and services into core applications. Handle deployment tasks on IIS, including configuration, logging, and security setup. Manage source control using Git or SVN; ensure proper versioning and branching strategies. Collaboration & Documentation Interact with product managers, business analysts, and stakeholders to define technical solutions. Prepare comprehensive documentation for software architecture, APIs, and deployment processes. Mentor junior developers and contribute to internal knowledge-sharing. Project Delivery & Ownership Take ownership of assigned modules or components, ensuring timely and quality delivery. Adapt to changing priorities and deliver under tight deadlines in a dynamic project environment. Required Skills & Qualifications Education Bachelor's or Master s degree in Computer Science, Engineering, or a related discipline. Technical Skills 4+ years of professional experience with ASP.NET, C#, Web API, and SQL Server. Strong experience with RESTful API development, backend design, and middleware. Proficiency in JavaScript, AJAX, jQuery, and HTML/CSS. Experience with IIS deployment, application pool management, and security configuration. Familiarity with performance tuning, caching, and secure coding practices. Integration of third-party APIs, services, and authentication systems. Soft Skills Strong analytical and problem-solving mindset. Effective communication skills to interact with stakeholders and team members. Self-motivated, detail-oriented, and capable of working with minimal supervision. Nice to Have Experience with Agile methodologies, JIRA, or DevOps tools. Exposure to cloud environments like Azure or AWS. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related discipline.

Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).

Requirements: • Strong Experience in Node.Js • Experience in Mongo DB or MySQL • Knowledge ExpressJs , Async, Await, Promise and websocket libraries extensively • Angular or Ionic or React is an added advantage • Knowledge in database designing. • Experience in Docker, Jenkins, DevOps, Azure, AWS is an added advantage Experience: • Node JS: 2 year (Preferred) • JavaScript, DB designing: 1 year (Preferred)

Requirements: • Strong Experience in Node.Js • Experience in Mongo DB or MySQL • Knowledge ExpressJs , Async, Await, Promise and websocket libraries extensively • Angular or Ionic or React is an added advantage • Knowledge in database designing. • Experience in Docker, Jenkins, DevOps, Azure, AWS is an added advantage Experience: • Node JS: 2 year (Preferred) • JavaScript, DB designing: 1 year (Preferred)

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Backend Developer (Python + AWS) Experience: 5-8 Years Location: Hyderabad About Us: We are a cutting-edge technology company looking for an experienced Backend Developer (Python + AWS) to join our dynamic team. If you are passionate about backend development, have a strong expertise in Python, Django, and AWS, and want to work on innovative projects, we want to hear from you! Responsibilities: Backend Development: Design, develop, test, and deploy high-quality backend services using Python and Django. Develop robust RESTful APIs to facilitate communication between the frontend and microservices. Ensure seamless integration and data exchange between backend services and frontend applications. Collaboration: Work closely with the frontend development team to integrate backend services with the UI effectively. Collaborate with the Data Engineering team to design and implement data pipelines and storage solutions. Database Management: Develop and maintain database schemas, ensuring data consistency, integrity, and optimized performance. Troubleshooting & Debugging: Troubleshoot and debug complex issues in backend services and APIs, ensuring smooth and efficient operations. Code Quality & Best Practices: Participate in code reviews and ensure that the team adheres to high coding standards and best practices. Stay up-to-date with the latest trends and technologies in backend development and apply them to improve system efficiency. DevOps Collaboration: Collaborate with the DevOps team for smooth deployment and monitoring of backend services. Feature Implementation & Documentation: Contribute to the design and implementation of new features and functionalities. Develop and maintain clear and concise technical documentation and guides for backend services. QA Collaboration: Work closely with the QA team to ensure thorough testing, validation, and quality assurance of backend services. Task Planning: Participate in the planning and prioritization of project tasks and deliverables to ensure smooth progress. Requirements: Primary Skills: Backend Services Programming in Python Extensive experience with backend programming using Python. Django Framework: Experience working with Django for developing backend services. RESTful APIs: Solid experience in building and maintaining RESTful APIs. AWS Services: Proficiency with AWS Services such as S3, Lambda, EC2/ECS, IAM, and DynamoDB for cloud-based applications. Database Management: Strong experience in managing databases, schema design, and ensuring data consistency and integrity. Experience: 5+ years of experience in backend development with a focus on Python and AWS services. Additional Skills: Strong problem-solving skills and the ability to debug complex issues. Effective communication skills and ability to work well in a collaborative, team-oriented environment. Can-do attitude with a passion for developing scalable software solutions. A B.Sc. in Computer Science or related fields (or equivalent experience). Innovative Environment: Work on groundbreaking projects using the latest technologies in the backend development space. Collaborative Team Culture: Be part of a team that values open communication and collaboration. Career Growth: Opportunities to learn, grow, and advance your career with continuous skill development and training. Competitive Benefits: We offer competitive compensation and a comprehensive benefits package to support your well-being. Apply Today! If you re a skilled Backend Developer with a passion for Python, AWS, and backend technologies, we encourage you to apply and join our growing team! Qualification : A B.Sc. in Computer Science or related fields (or equivalent experience).

Job Description We are looking for a passionate engineer to join an early-stage startup focused on building innovative cloud-native data protection solutions. This role requires a proactive approach to learning and scoping business requirements, and developing appropriate DevOps solutions. It's a great opportunity for engineers eager to step out of their comfort zone and work on solving modern data security challenges that have a huge impact. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience in building products on AWS. Prior work in startups is a huge plus. This is a hands-on DevOps role, comfortable with rapid prototyping and implementation of products in an agile team environment. Ability to ensure that systems are safe and secure against cybersecurity threats. Familiarity with scripting languages like Python. Experience with the implementation of various data services in AWS or other clouds. Experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible. Experience in container and clustering technologies such as ECS, Docker, Kubernetes, and Helm. Experience with version control systems like GitHub and GitHub workflows. Experience with monitoring tools like CloudWatch. Ability to implement good DevOps practices across infrastructure.

Technical Support Engineer - CloudExtend Location: Hyderabad, India. At Celigo, we are pioneering the future of application integration with novel new strategies, cutting edge technologies, and of course a diehard team that will go to any length to make your most complicated integrations just work. Our core mission at Celigo is simple: to enable independent best of breed applications to work together as one. We believe that every independent department and every business end user should always have choices when it comes to picking software, and that integration challenges should never stand in the way. Your Role You will join us at Celigo s CloudExtend team whose mission is to supercharge enterprise user productivity. CloudExtend products uniquely meld best-of-breed enterprise systems with ubiquitous consumer applications with a strong focus on user experience and deep insightful integration. You will play a significant role in redefining how businesses from Fortune 500s to small boutiques experience and interact with cloud systems such as NetSuite, Salesforce.com, Google, Microsoft 365, Slack, and more. Key Responsibilities: Technical Support & Troubleshooting: Provide front-line technical support to users, diagnose and resolve software issues, and ensure the timely resolution of problems. Bug Fixing & Issue Resolution: Assist in identifying, reporting, and fixing application bugs using technologies such as .NET, MongoDB, Angular, and JavaScript. System Monitoring & Performance: Monitor system performance, track and address issues in production environments, and ensure smooth software operations. Collaboration: Work closely with development teams to understand new features and assist with deployment and troubleshooting. Documentation: Create and maintain technical documentation for troubleshooting procedures, deployment steps, and issue resolution. Continuous Learning: Stay up-to-date with industry best practices, emerging technologies, and software trends to continuously improve technical skills. Skills Required: Technical Skills: AWS: Basic experience with AWS EC2, S3, Lambda, ECR, CDK and CodePipeline for deploying and maintaining applications. .NET: Familiarity with C#, .NET Core, and Web API development, with the ability to troubleshoot and resolve issues in .NET applications. MongoDB: Basic knowledge of MongoDB, including querying, troubleshooting performance issues, and basic database management. Angular: Hands-on experience with Angular for building and troubleshooting web applications, including data binding and component architecture. JavaScript: Proficiency in JavaScript, including understanding of asynchronous programming, error handling, and debugging. Additional Skills: Familiarity with version control tools such as Git for code management and collaboration. Basic knowledge of AWS CloudWatch or other logging/monitoring tools to troubleshoot and monitor applications. Familiarity with CI/CD pipeline setup using Azure DevOps and AWS CodePipeline for continuous integration and automated deployments. Familiarity with Docker, and Kubernetes for containerized deployments. Basic experience with AWS CloudFormation, CDK templates to manage infrastructure in cloud environments. Desired Skills and Attributes: Strong problem-solving skills with the ability to troubleshoot complex technical issues. Excellent communication skills, able to explain technical issues to both technical and non-technical stakeholders. Ability to work independently and as part of a collaborative team. Eagerness to learn and grow in the areas of cloud technologies, CI/CD processes, and modern software development practices. Strong attention to detail, ensuring software quality and reliability. Why you ll love it here: Everything Integrated. Our integration platform allows you to integrate any business application to any other business application. Startup Environment. The CloudExtend team acts as a startup inside of a larger, well funded startup where an innovation mindset is encouraged. Automation Nation. We re the only iPaaS to automate business processes across multiple cloud applications using a single pre built integration. Celigo Values. Celigo s guiding principles and beliefs help shape our mission and work environment, and that we want to foster and reinforce as we scale. Take A Stand. We re a company that stands for something. Celigo s Taking a Stand initiative has the goal to promote diversity, equity, and inclusion. Work. Life. Balanced. Starting your first year, we offer 3-weeks of vacation, plus holidays to recharge and spend time with family and friends. Perks. We offer a strong benefits package, a tech stipend, recognition opportunities, and many other cool perks. Hundreds of applications. Thousands of business processes. Millions of combinations. ONE iPaaS. Celigo is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are pioneering the future of application integration with innovative strategies, cutting-edge technologies, and a dedicated team. Our core mission is simple: to enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices in software selection, and integration challenges should never be an obstacle. Your Role: Celigo powers integration for a large number of customers worldwide through our Integrator.io iPaaS platform, processing millions of transactions daily. Our services are mission-critical, large-scale solutions in the area of iPaaS. We are looking for passionate DevOps engineers who thrive on managing modern, large-scale production services on the cloud. The successful candidate will work in alignment with Celigo's DevOps charter to deliver high-quality products faster, safer, and in compliance with company norms using automation, tooling, and processes. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-10 years of total experience in software product development organizations, with at least 3 years of experience in DevOps. Role Expertise: Proven experience as a Site Reliability Engineer (SRE) or similar role, including hands-on experience in managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in production on cloud. Cloud Skills: Must have working knowledge of AWS services (e.g., VPC, EC2, EKS, S3, IAM). Automation Expertise: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Experience with version control systems like Git. Configuration Management: Familiarity with automation tools like Chef, Ansible, and Puppet. Security: Basic understanding of security compliance standards and regulations such as SOC2, HIPAA, GDPR. CI/CD Expertise: Hands-on experience in designing, delivering, and maintaining CI/CD pipelines using tools like Jenkins, Travis CI, Spinnaker, and ArgoCD. Monitoring & Telemetry: Experience with observability tools like Splunk, ELK, and Kafka. Database Knowledge: Familiarity with MongoDB and Kafka. Problem Solving & Troubleshooting: Strong problem-solving, troubleshooting, and analytical skills, demonstrated in previous roles. Communication Skills: Excellent verbal and written communication skills. Agile Experience: Experience working in an Agile development environment. Enterprise Monitoring Systems: Experience with enterprise-level monitoring systems is highly desirable. Platform Deployment: Build and deploy the Integrator.io platform on production, staging, and other environments as required on the cloud. Automation: Use automation tools to eliminate manual steps, including infrastructure provisioning, code deployment, and monitoring/notifications. Tool Administration: Research, deploy, and manage tools such as Splunk and Kafka to support the Integrator.io platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address any identified security gaps through programs like HackerOne. CI/CD Pipeline: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Continuously raise the bar of engineering excellence by implementing best practices in DevOps. The Best Candidate: Passionate about building a world-class DevOps organization. Demonstrates the ability to manage large distributed systems in production on the cloud. Understands how infrastructure components work together. Has experience working with globally distributed teams. Enjoys solving complex problems and is excited about learning new techniques in cloud-based distributed systems. Able to automate tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment and is adaptable to shifting priorities. Quick to learn, and knows when to listen and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline.

Job Title: DevOps Engineer Location: Hyderabad, India About Celigo: At Celigo, we are revolutionizing the future of application integration with cutting-edge strategies and technologies. Our team is dedicated to making complex integrations seamless, and we pride ourselves on delivering innovative solutions. Our core mission is simple: enable independent, best-of-breed applications to work together seamlessly. We believe that every department and business end user should have choices when selecting software, and integration challenges should never hinder business progress. Your Role: Celigo powers integration for customers globally through our Integrator.io iPaaS platform, which handles millions of transactions daily. We own mission-critical, large-scale services in the iPaaS space, requiring us to develop and maintain highly scalable services within cloud environments. We are seeking passionate DevOps engineers who love managing modern, large-scale services in production on the cloud. Our DevOps charter focuses on enabling Development and QA teams to deliver high-quality products quickly, safely, and in compliance with our standards, using automation, tooling, and processes. As part of the DevOps team, you will work towards building a continuous value delivery pipeline and ensuring top-tier customer satisfaction. Education: Master's/Bachelor's degree in Computer Science/Engineering, Software Engineering, or a related discipline. Experience: 5-7 years of total experience in software product development organizations, with at least 4 years in a DevOps role. Cloud Skills: Hands-on experience managing mission-critical, large-scale product operations such as provisioning, deployment, upgrades, patching, and incidents in cloud production environments. Must have working knowledge of public cloud services, preferably AWS. Automation Skills: Proficient in Infrastructure as Code (IaC) using Terraform and scripting with Python/Bash. Familiar with version control systems like Git. Configuration Management: Good knowledge of configuration management and automation tools such as Chef, Ansible, Puppet. Security: Basic understanding of security compliance standards like SOC2, HIPAA, and GDPR. CI/CD Expertise: Expertise in designing, delivering, and maintaining CI/CD pipelines with tools like Jenkins. Troubleshooting & Analytical Skills: Strong problem-solving, troubleshooting, and analytical skills demonstrated in previous roles. Developer Mindset: Developer experience with an emphasis on automation and system optimization. Agile Environment: Experience working in an Agile development environment. Monitoring & Observability: Experience with enterprise-level monitoring systems is highly desirable. Communication Skills: Excellent verbal and written communication skills. Platform Deployment: Build and deploy the Integrator.io platform across various environments (Production, Staging) in the cloud. Automation: Leverage automation tools to automate infrastructure provisioning, code deployment, monitoring, and notifications. Tool Administration: Research, deploy, and manage essential tools like Splunk, Kafka, etc., to support the platform. Collaboration with Security & Compliance Teams: Work closely with the security team to gather data points for audits and address security gaps identified through programs like HackerOne. CI/CD Pipeline Design: Design and build CI/CD pipelines for Integrator.io, collaborating with senior architects and engineers. Engineering Excellence: Implement best practices in DevOps, continuously raising the standard for engineering excellence. The Best Candidate: Passionate about creating a world-class DevOps organization. Proven ability to manage large distributed systems in cloud production environments. Solid understanding of how infrastructure and software components interact. Experience working with globally distributed teams. Enthusiastic about learning new techniques in complex distributed systems and solving challenging problems on the cloud. Skilled at automating tasks using high-level programming languages. Thrives in a fast-paced, dynamic environment with shifting priorities. Quick to learn and knows when to lead and when to listen. Why You'll Love It Here: Everything Integrated: We solve a critical challenge that affects almost every business integrating cloud apps. Automation Nation: We're the only iPaaS solution that automates business processes across multiple cloud applications using a single prebuilt integration. Celigo Values: Our guiding principles foster a collaborative, innovative environment as we scale. Take A Stand: Celigo s initiative promotes diversity, equity, and inclusion within our company. Work-Life Balance: Starting from your first year, we offer three weeks of vacation, plus holidays to recharge and spend time with loved ones. Perks & Benefits: We offer a comprehensive benefits package, a tech stipend, pre-tax commuter expense reimbursement, recognition opportunities, and many other perks. Celigo is committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, in compliance with legal requirements.

Job Role: Cloud Engineer Key Responsibilities: Design, deploy, and manage AWS cloud solutions for HPC environments, including compute, storage, networking, and security. Implement scalable, reliable infrastructure to support various applications and workloads. Apply AWS best practices for performance optimization, reliability, and cost management. Build and maintain CI/CD pipelines for efficient deployment of applications and infrastructure. Develop and implement CI/CD pipelines tailored for scientific and engineering applications. Diagnose and resolve complex technical issues within AWS environments. Design and implement optimized HPC solutions for scientific and engineering workloads on the cloud. Oversee HPC deployments, ensuring high availability, scalability, and performance. Collaborate with DevOps engineers and developers to ensure seamless integration of HPC solutions. Monitor and troubleshoot HPC workloads in cloud environments. Stay current with advancements in HPC, cloud technologies, and scientific/engineering applications. Document and share best practices related to HPC and cloud integration. Job Requirements: Bachelor s degree in computer science or a related field. 2-3 years of hands-on experience with AWS services (e.g., EC2, S3, IAM, EFS, FSx, VPC). Basic understanding of HPC principles and parallel file systems (e.g., Lustre, GPFS). Experience with Linux system administration. Familiarity with cloud platforms (AWS, Azure, GCP) and HPC services (AWS experience preferred). Proven experience with DevOps pipelines, adapting scientific/engineering applications for the cloud. Strong scripting skills (Bash, Python, etc.). Basic understanding of job schedulers (e.g., Slurm, SGE, PBS). Excellent problem-solving, analytical, and communication skills. Ability to work independently and in a collaborative team environment. Preferred Skills: AWS certifications (e.g., AWS Certified Solutions Architect). Experience with Linux administration. Knowledge of parallel clusters and HPC administration. Familiarity with Slurm job schedulers. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Qualification : Bachelors degree in computer science or a related field

Job Role: Senior DevOps Engineer Location: Hyderabad Job Description Sr. DevOps developer you will define designs, provide technical enablement for application components or subsystems for research applications. Your major focus will be on writing code in python or similar and enable integration with various systems. Responsibilities: 8-13 years of experience in (L3 Skills) (AWS, Python, Groovy, Jenkins). Experience working on AWS Cloud platform. Hands-on experience with infrastructure as code tools like Terraform/CloudFormation. Design, test and implement CI/CD including automation using bitbucket/GitHub, Jenkins. Strong programming skills on Python or Groovy or similar Experience working with different AWS services like Ec2, EBS, RDS, IAM, VPC, Lambda, S3, EKS, etc. Experience in building, managing and deployment of Docker images on EKS. Experience in administering both Unix/Linux and Windows operating systems. Prior experience on monitoring and alerting systems like Prometheus/Alert Manager/Grafana Should demonstrate strong Troubleshooting skills. Good to have: Experience with configuration management tools (E.g., Ansible, Chef) Understanding of Monitoring tools (New Relic, PagerDuty, Splunk, CloudWatch etc.) Strong Communication and documentation skills Ability to learn and apply new technologies through self-Learning. Preferred Certifications: AWS Solution Architect Associate or Up / AWS DevOps Associate or Up Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Job Title: Software DevOps Development Engineer Location: Hyderabad The Software DevOps Development Engineer is responsible for developing and enhancing software solutions to support a secure Software Development Lifecycle (SDLC). This role requires a strong foundation in software development and DevOps practices to facilitate the adoption of the SDLC framework. Job Duties and Responsibilities Develop and Enhance Software: Design, develop, test, and implement software solutions to automate and streamline SDLC processes. Integrate security controls and best practices into software development activities. Collaborate with security teams to ensure software aligns with security standards and requirements. Identify opportunities for software improvement and optimization to enhance efficiency and effectiveness. Support SDLC Framework Adoption: Provide technical guidance and support to development teams in adopting the SDLC framework. Develop and maintain documentation, training materials, and other resources to facilitate framework adoption. Conduct workshops and training sessions to increase awareness and understanding of the SDLC framework. Collaborate with stakeholders to identify and address challenges related to framework implementation. Jenkins Pipeline Development: Design, develop, and maintain Jenkins pipelines for continuous integration and continuous delivery (CI/CD). Automate build, test, and deployment processes to improve software delivery efficiency. Integrate security checks and vulnerability scanning into Jenkins pipelines. Troubleshoot and resolve Jenkins pipeline issues. Scripting and Automation: Write and maintain scripts using Groovy and Python to automate tasks and improve efficiency. Develop custom tools and scripts to support SDLC activities. Integrate scripting solutions with existing tools and systems. Required Skills: Strong software development and DevOps background Proficiency in Jenkins pipelines Expertise in Groovy and Python scripting Understanding of various SDLC methodologies (Agile, Waterfall, etc.) Knowledge of security best practices and tools Problem-solving and troubleshooting skills Excellent communication and collaboration abilities Preferred Skills: Experience with cloud platforms (AWS) Knowledge of containerization technologies (Docker, Kubernetes) Experience with infrastructure as code (IaC) tools (Terraform, Ansible) Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

AWS Cloud Admin Data Science Team We are seeking an experienced AWS Cloud Admin to join our Data Science Team. The ideal candidate will have 5 to 8 years of experience in managing AWS cloud infrastructure. The AWS Cloud Admin will be responsible for ensuring the reliability, security, and performance of our cloud environment to enable us to efficiently analyze and derive insights from large datasets. Key Responsibilities: Manage and monitor AWS services, including EC2, S3, RDS, and Redshift. Implement and maintain security best practices for AWS environments. Troubleshoot and resolve issues related to AWS infrastructure. Collaborate with data scientists and engineers to optimize AWS resources for data processing and analysis. Implement automation and scripting solutions to streamline AWS administration tasks. Stay up-to-date on AWS best practices and new features to continuously improve our cloud infrastructure. Qualifications: Experience: 4+ years of experience in cloud infrastructure management, with at least 2 years focusing on AWS services. In-depth knowledge of AWS services including EC2, S3, Lambda, RDS, SQS, SNS, IAM, CloudWatch, Redshift, and SageMaker. Strong experience in automation and configuration management tools such as Terraform, CloudFormation, or Ansible. Knowledge of cloud security best practices, including managing IAM roles and policies, encryption, and data protection in the cloud. Proficiency in Python, Bash, or other scripting languages for automation tasks. Experience with AWS CloudWatch, CloudTrail, and other monitoring tools for analyzing logs, alerts, and resource performance. Nice to Have: Experience on Azure DevOps.

Description We are looking for an experienced Devops engineer to manage critical infrastructure and maintain high availability of services running on this infrastructure. In this role you will have an opportunity to influence the design of the infrastructure and build it from the ground up. Responsibilities: Develop and maintain observability products, build tools and automation to eliminate manual touch, and respond to system failures and outages. Gain insights into platform incidents and address repeat issues. Leverage AIOps platforms to improve anomaly detection, automate runbooks, and meet MTTD & MTTR goals. Oversee system monitoring, incident response, and root cause analysis in a timely manner. Solid understanding of logging frameworks and APM tools like Splunk , Prometheus, Grafana. Drive continuous improvement initiatives to enhance system reliability and performance. Collaborate with development teams and drive reliability/availability improvements. Manage deployments, oversee patching and mitigate security vulnerabilities. Proactively plan and manage potential risks to ensure system reliability. Prioritize tasks and projects effectively in a fast-paced environment to ensure critical issues are addressed promptly. Design, implement, and maintain scalable, fault-tolerant cloud infrastructure. Leverage container technologies like Kubernetes and Docker to enhance system reliability and efficiency. Monitor, troubleshoot, and resolve production issues, ensuring system availability and performance. Collaborate with cross-functional teams to diagnose incidents, improve observability, and drive post-mortem analysis. Write clear technical documentation and communicate complex issues effectively with both technical and non-technical stakeholders. Develop automation scripts and tooling using at least one object-oriented language (e.g., Java, Python, Go) and one scripting language (e.g., Bash, Python). Manage network technologies, including DNS, Load Balancing, TCP/IP, HTTP, and tools like curl and OpenSSL to ensure seamless connectivity. Continuously improve system performance, security, and cost efficiency through proactive monitoring and optimizations. Proficiency with source control, continuous integration, and testing pipelines. Required Skills: Design, implement, and maintain scalable, fault-tolerant cloud infrastructure. Expertise in managing large, fault-tolerant, cloud-hosted systems. Proficiency with container technologies like Kubernetes and Docker. Proficiency with AWS, GCP or other cloud solutions. Excellent communication and collaboration skills. Clear technical communication, especially about problems and incidents. Proficiency in at least one object-oriented and one scripting language. Understanding fundamental mesh and network technologies, e.g., DNS, Load Balancing, TCP/IP, HTTP, DNS, curl, openssl. Strong problem-solving, troubleshooting, and analytical skills demonstrated in past projects. Proven experience managing large-scale, cloud-hosted systems in AWS, Azure, or GCP. Strong expertise in Kubernetes, Docker, and container orchestration. Solid understanding of networking fundamentals, including DNS, TCP/IP, HTTP, and Load Balancing. Proficiency in at least one object-oriented and one scripting language. Exceptional troubleshooting, problem-solving, and analytical skills, demonstrated in past projects. Excellent communication and collaboration skills, with the ability to clearly articulate technical challenges and solutions.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Angular & C# Developer Role Overview: We are seeking a talented and motivated Angular & C# Developer to join our innovative development team. The ideal candidate will have strong experience with HTML, JavaScript, Angular 15+, TypeScript, AngularJS, and C#. As part of our team, you will contribute to developing and maintaining high-quality web applications, ensuring an exceptional user experience, and collaborating closely with backend developers and designers. Key Responsibilities: Frontend Development (Angular): Design and build responsive, dynamic user interfaces using Angular, following best practices for usability and performance. Develop reusable, maintainable components to streamline application development. Implement two-way data binding, reactive forms, and leverage Angular directives for managing dynamic content. Optimize performance with techniques like lazy loading, change detection strategies, and asset minification. Write unit tests for Angular components using testing frameworks such as Jasmine and Karma. Backend Development (C#/.NET): Build RESTful APIs or gRPC services using ASP.NET Core or the .NET Framework for seamless communication between front-end and back-end. Implement CRUD operations with databases (e.g., SQL Server, CosmosDB) using Entity Framework for efficient data handling. Write clean, scalable, and maintainable business logic that supports application functionality. Integrate security features like JWT-based authentication, OAuth, and role-based access control. Work with real-time communication protocols (e.g., WebSocket, SignalR) to provide live updates between the server and the front-end. Leverage cloud platforms (e.g., Azure) and services (e.g., Azure Blob Storage, Azure Functions) to enhance scalability. Implement error handling and integrate logging tools for application monitoring and troubleshooting. Full-Stack Integration: Ensure smooth integration between the Angular front-end and backend APIs using HTTP requests and SignalR. Collaborate with team members using Git for version control and best practices in branching strategies. Set up and manage CI/CD pipelines using tools like Azure DevOps or GitHub Actions to automate builds, testing, and deployment. Collaboration and Agile Development: Participate actively in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with cross-functional teams to ensure UI/UX and business requirements are met. Conduct peer code reviews and mentor junior developers to maintain high-quality code standards. Skills & Qualifications: Education: Bachelor s Degree in Computer Science, Engineering, or related field (or equivalent experience). Angular: Extensive experience with Angular framework (15+), TypeScript, and front-end best practices. C#/.NET: Expertise in C#, .NET Core/Framework, and Entity Framework. Web Development: Proficiency in HTML5, CSS3, JavaScript, and building RESTful APIs. Database Management: Strong knowledge of SQL Server, CosmosDB, or other relational/non-relational databases. Cloud Development: Familiarity with Azure Cloud and associated services is a plus. Version Control & CI/CD: Experience with Git, Azure DevOps, or GitHub Actions for version control and automation. Additional Information: Role: Full Stack Developer Department: Engineering - Software & QA Industry: IT Services Employment Type: Full-time, Permanent Role Category: Software Development Qualification : Bachelors Degree in Computer Science, Engineering, or related field (or equivalent experience).

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.