Security Orchestration Jobs in Hyderabad

Senior Engineer SaaS | Hyderabad, India Department: Engineering Employment Type: Full-Time Experience: 3+ Years Location: Hyderabad (On-site/Hybrid) Job Overview We are looking for a skilled Senior SaaS Engineer to join our dynamic engineering team in Hyderabad. In this role, you will be instrumental in transitioning ZL Tech s flagship products to a highly scalable, reliable, and performant SaaS platform. You will design and develop cloud-native microservices and work collaboratively across global teams to deliver high-quality software solutions. Key Responsibilities Collaborate with geographically distributed engineering teams to migrate and enhance applications into scalable, reliable, and high-performance SaaS architecture. Lead the transition from monolithic systems to microservices architecture ensuring modularity and scalability. Work closely with product managers, architects, and cross-functional teams to gather requirements and translate them into robust technical solutions. Develop and maintain RESTful APIs to support scalable service integrations. Build, deploy, and maintain containerized applications using Kubernetes and related container technologies. Implement and improve DevOps practices including CI/CD pipelines for faster and reliable software delivery. Operate effectively in a fast-paced environment while delivering quality code on schedule. Required Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related engineering discipline. Minimum of 3 years hands-on experience building large-scale distributed systems with a focus on scalability and reliability. At least 2 years of professional experience with Kubernetes and container orchestration platforms. Proven experience in cloud-native application development, preferably on platforms such as AWS, Azure, or GCP. Strong expertise in designing and building REST APIs for SaaS environments. Solid understanding of DevOps culture and practical experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI, or similar. Preferred Skills Experience with microservices frameworks such as Spring Boot, Node.js, or equivalent. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Knowledge of security best practices for SaaS applications and cloud infrastructure. Work on cutting-edge SaaS product development with a global engineering team. Grow your expertise in cloud-native technologies and microservices architectures. Opportunity to impact product design and lead innovations in scalable distributed systems. Competitive salary and benefits, with a focus on continuous learning and career growth. Apply today to be part of a forward-thinking company shaping the future of SaaS technology in Hyderabad! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related engineering discipline.

Job Title: Senior Python Developer Location: Hyderabad (Onsite) Experience: 5+ Years Job Type: Full-Time Openings: 2 Category: IT Job Summary We are seeking an experienced Senior Python Developer with deep technical expertise in designing scalable, secure, and high-performance backend systems particularly within the travel and tourism industry. The ideal candidate will be proficient in Python frameworks (Django, Flask, FastAPI), capable of handling complex third-party API integrations, and demonstrate leadership in ensuring robust, compliant, and efficient backend infrastructure. Roles & Responsibilities Core Development Architect, build, and maintain scalable applications using Python and frameworks such as Django, Flask, and FastAPI. Integrate and optimize third-party travel APIs (e.g., GDS, CRS, OTA, airline APIs) for real-time booking, availability, and pricing data. Develop RESTful APIs, GraphQL, and asynchronous services for seamless frontend-backend communication. Data & Architecture Design and manage high-throughput data pipelines and ETL processes for structured and unstructured data. Work with SQL/NoSQL databases like PostgreSQL and MongoDB, and streaming tools like Apache Kafka or Apache Spark. Build modular microservices to enable independent scaling and deployment. Performance, Security & Compliance Optimize for performance, scalability, and reliability with efficient load balancing and low-latency design. Implement secure coding practices, ensure data encryption, and maintain compliance with PCI DSS, GDPR, and other relevant standards. DevOps & Automation Set up and maintain CI/CD pipelines (Jenkins, GitLab CI), automate testing and deployment. Leverage Docker and Kubernetes for containerization and orchestration. Use monitoring tools to ensure system health and proactive issue resolution. Collaboration Work closely with frontend teams, designers, and stakeholders to align backend systems with business requirements. Participate in code reviews, documentation, sprint planning, and continuous improvement. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in backend development with at least 3 years in Django, Flask, or FastAPI. Hands-on experience in RESTful API, GraphQL, and asynchronous programming. Deep knowledge of PostgreSQL, MongoDB, and streaming/big data tools like Kafka, Spark. Experience in cloud platforms (AWS, Azure, GCP). Experience with Docker, Kubernetes, and CI/CD tools. Familiarity with testing frameworks such as PyTest, Selenium, and SonarQube. Travel domain knowledge experience integrating GDS/CRS, booking systems, and payment gateways. Key Competencies Strong problem-solving and analytical thinking. Ability to work in a fast-paced, high-pressure environment. Excellent communication and collaboration skills. Self-motivated with a proactive attitude and leadership qualities.

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.

Software Engineering PMTS (SDET) Software Engineering | Hyderabad, India | Full-Time About the Role Join Salesforce s Service Cloud team as a PMTS Q3 Engineer (Software Development Engineer in Test) focused on quality, automation, and engineering efficiency. You will work on cutting-edge customer service platforms that leverage AI-powered chatbots, unified communications, and real-time CRM integrations. The Q3 Engineering team is a highly accomplished group passionate about quality, tooling, and innovation. As a senior engineer, you will influence product design, quality culture, and delivery across multiple teams, ensuring trust and excellence. Key Responsibilities Lead and coordinate efforts to deliver high-quality software products across multiple scrum teams. Own complex and ambiguous features with a deep understanding of the Salesforce Service Cloud application. Define and implement quality assurance processes, automation frameworks, and validation techniques. Mentor junior engineers, influence quality methodologies, and drive best practices across teams. Participate actively in design reviews, test plan creation, and cross-team technical discussions. Develop, review, and maintain sophisticated automated test frameworks and scripts. Monitor feature quality, identify gaps, and lead initiatives to improve test coverage and automation health. Collaborate closely with product management and engineering to align quality efforts with business priorities. Foster a collaborative environment to encourage knowledge sharing and continuous improvement. Use telemetry, metrics, and data-driven insights to influence testing strategies and product quality. Required Skills & Experience 15+ years of relevant technical experience in software engineering and testing. Strong programming skills in Java, JavaScript, or similar languages. Deep understanding of system architecture, operating systems, databases, and object-oriented programming. Hands-on experience designing test plans, automation frameworks, and test specifications. Proficiency with testing methodologies, tools like Selenium WebDriver, Jenkins, and version control systems (e.g., Git). Experience building and optimizing functional/UI automation tests and API testing frameworks. Familiarity with Agile development, Scrum, and quality management systems. Strong communication, collaboration, leadership, and mentoring skills. Ability to handle multiple projects, triage issues, and react quickly to changes. Bachelor s degree or equivalent in Computer Science, Engineering, or related field. Ability to pass Salesforce security and background checks. Highly Desirable Experience with open-source test tools and unit test automation frameworks. Familiarity with industry quality and usability best practices. Experience with CI/CD orchestration tools like Jenkins. Ability to optimize and automate processes, code, and testing efforts. Work on innovative, large-scale cloud platforms impacting millions of users worldwide. Collaborate with some of the top quality engineering experts at Salesforce. Be part of a culture that values trust, innovation, and continuous learning. If you want to lead quality initiatives in a fast-paced, cutting-edge environment and have a passion for excellence, apply today! Qualification : Bachelors degree or equivalent in Computer Science, Engineering, or related field.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

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: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Job Summary As a SOAR Engineer at Netenrich Technologies, You will be responsible for leveraging your expertise in SOAR, Threat Hunting, Chronicle, SIEM, and Writing Rules, Play books to detect and mitigate threats, analyze security data, and develop strategies to strengthen our cybersecurity infrastructure. Key Responsibilities Utilize SOAR platforms to automate security processes and response activities. Design, develop, and maintain SOAR playbooks and workflows to enhance incident response capabilities. Collaborate with cybersecurity teams to identify manual processes that can be automated using SOAR technologies. Integrate security tools and technologies with SOAR platforms to improve overall cybersecurity posture. Provide technical expertise in the configuration and optimization of SOAR tools. Stay up-to-date with the latest cybersecurity threats, vulnerabilities, and industry trends. Assist in the evaluation and selection of SOAR technologies based on organizational needs. Document and maintain standard operating procedures for SOAR processes and playbooks. Participate in cybersecurity drills and exercises to test SOAR capabilities and incident response procedures. Develop and maintain security rules and policies to ensure the integrity of our cybersecurity framework. Monitor and analyze security alerts and incidents, participate in incident response activities as needed. Stay updated on emerging threats, vulnerabilities, and cybersecurity trends to strengthen the organization's defense strategies. Qualifications Bachelor s degree in Cybersecurity, Computer Science, or a related field. 2-5 years of hands-on experience working with any SOAR platforms in a cybersecurity role. Strong expertise in designing, developing, and implementing SOAR playbooks and workflows. In-depth knowledge of cybersecurity frameworks, incident response methodologies, and security best practices. Experience with integration of security tools and technologies with SOAR platforms. Familiarity with scripting languages (Python, PowerShell, etc.) for automation purposes. Excellent analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. Relevant certifications such as Certified Information Systems Security Professional (CISSP) or Certified SOAR Administrator are a plus. Why Join Netenrich Technologies: Competitive salary and benefits package. Opportunity to work with cutting-edge cybersecurity technologies. Career growth and development in a dynamic and innovative environment. Collaborative and inclusive workplace culture. Contribution to a company committed to enhancing cybersecurity. Qualification : Bachelors degree in Cybersecurity, Computer Science, or a related field.

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.

Job Description Outline of responsibilities We are hiring a Senior Information Security Analyst to work in our growing IT Security team. You will monitor our digital environment for security issues, respond to security requests, install and operate security software, and document any security issues or breaches you find. To do well in this role you should have a bachelor's degree in computer science and / or experience in the information security field. The Group Senior Information Security Analyst should develop and operate the activities below: Threat Monitoring & Detection Proactively monitor security alerts using SIEM as part of our SOC, EDR, NIDS/NIPS, and other detection tools. Analyze logs and events to identif suspicious or malicious activities. Incident Response & Investigation Investigate security incidents, assess their impact, and recommend corrective actions. Lead and coordinate incident response efforts, ensuring rapid containment and mitigation. Perform root cause analysis to prevent future incidents. Security Operations & Risk Management Maintain and optimize security monitoring tools and processes. Contribute to the development and enforcement of security policies, procedures, and standards. Assist in vulnerability management by identifying, assessing, and remediating security gaps. Support security awareness initiatives by educating employees on cybersecurity best practices. User Support Provide guidance and support to users on security tools and processes, ensuring they are used correctly and efficiently. Respond to security request on ticketing solutions As Senior Information Security Analyst, you can take initiative and work autonomously. You have a good understanding of the current Security posture, and you can take decisions in your area of responsibility. You provide support to Blue Team Leads/IT Security Managers and participate actively in key projects. Qualifications GISA Education/Training/Qualifications/Profile Technical Skills Strong experience with SIEM platforms (e.g., Splunk, Microsoft Sentinel, QRadar). Proficiency in security technologies such as firewalls, IDS/IPS, EDR, and cloud security solutions. Experience with scripting (Python, PowerShell) for automation and log analysis. Familiarity with cloud environments, particularly Azure Security solutions. Soft Skills Strong analytical and problem-solving skills. Ability to work under pressure and respond effectively to security incidents. Excellent communication skills, with the ability to explain complex security issues to nontechnical stakeholders. Team-oriented mindset with a proactive approach to security challenges. Stay up-to-date on information technology trends and security standards. Experience & Certifications 5+ years of experience in cybersecurity, SOC operations, or security engineering. Certifications preferred: CISSP, CISM, GIAC, Azure Security certifications (SC-200) Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings.

Company: Evergent About Evergent: Evergent is a leading global technology provider, overseeing the management of over 560 million user accounts across 180+ countries. We work with top-tier carriers like AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as major media companies such as HBO, FOX, SONY, and BBC. Our team of over 600 professionals is dedicated to delivering world-class Customer Lifecycle Management solutions that drive digital transformation and unlock new revenue opportunities, all while seamlessly integrating with legacy systems. Recognized as a diamond in the rough by Silicon Valley VCs, Evergent invites you to be part of our exciting growth journey. Position: Cloud Security Lead Location: Hyderabad Experience Required: 8+ Years Role Overview: As the Cloud Security Lead at Evergent, you will be responsible for shaping and executing our cloud security strategy across AWS, Azure, and GCP. Your leadership will ensure that cloud applications and infrastructure remain secure and compliant with industry standards. You'll guide a team of security experts while collaborating with cross-functional teams to integrate robust security measures into every stage of development. Key Responsibilities: Cloud Security Strategy: Design and implement a comprehensive cloud security framework for AWS, Azure, and GCP environments. Governance & Compliance: Establish and maintain cloud security governance, ensuring full compliance with SOC 2, PCI-DSS, and data privacy regulations. Risk & Vulnerability Management: Lead security assessments, conduct risk analysis, and develop effective remediation strategies. Team Leadership: Guide, mentor, and grow a team of security architects and engineers. Incident Response: Manage security incident detection, analysis, containment, and recovery processes. Collaboration: Work closely with DevOps, IT operations, and software development teams to seamlessly integrate security practices throughout the SDLC. Security Tools Management: Evaluate, implement, and manage cloud security tools, such as AWS Security Hub and Azure Security Center. Continuous Improvement: Stay ahead of emerging security threats and recommend strategies for ongoing security enhancements. Qualifications & Requirements: Educational Background: BE, B.Tech, M.Tech, MCA, or equivalent degree in Computer Science or related fields. Preferred Skills: Over 8 years of experience in information security or related IT fields. Exceptional communication skills (both written and verbal). Highly organized, proactive, and a problem solver with attention to detail. Relevant certifications in security or cloud technologies are a plus. Technical Skills: Strong understanding of cloud computing architectures (IaaS, PaaS, SaaS). Expertise in Identity and Access Management (IAM), encryption, network security, and data protection. Familiarity with SIEM systems and their application in cloud environments. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Qualification : BE, B.Tech, M.Tech, MCA, or any Bachelor computer degree.

Java Technical Architect Experience: 10 to 15 years Employment Type: Permanent Job Function: Information Technology Work Mode: Work from Office (Hyderabad) Job Summary: We are looking for an experienced Java Technical Architect to join our Data Architecture team. This is a full-time, on-site role based in Hyderabad. You will be responsible for designing, leading, and delivering technical architecture solutions, ensuring system scalability, resiliency, and seamless integration across complex environments. Key Responsibilities: Lead end-to-end design and development of technical architecture for data solutions. Ensure systems meet functional and non-functional requirements such as performance, security, and scalability. Drive system integration efforts for complex enterprise environments. Collaborate with cross-functional teams to align technical strategies with business objectives. Ensure use of best practices in architecture, development, and deployment. Must-Have Qualifications: Bachelor's/Master's degree in Computer Science, Information Systems, or related field. 10+ years of enterprise software development experience, with strong expertise in Java (Java 8+), Spring Boot, and Hibernate. Strong understanding of SQL and relational databases. Proficiency in developing RESTful services and working with microservices architecture. Hands-on experience with unit testing and working in Agile/Scrum environments. Cloud experience (AWS/Azure) and containerization skills (Kubernetes, Docker). Experience with distributed databases (SQL, NoSQL, Hadoop). Proven track record in designing scalable, fault-tolerant systems. Strong understanding of message queues/streams (e.g., RabbitMQ). Excellent communication, leadership, and problem-solving abilities. Nice-to-Have Skills: Experience with PostgreSQL. Familiarity with RabbitMQ or similar message queue technologies. Hands-on experience with Docker and container orchestration tools. Employee Benefits: 5-day work week Free lunch and snacks Festival celebrations, family day, and team outings Comprehensive health insurance Flexible work environment Company-sponsored certifications Travel opportunities Attractive bonuses: Fixed, variable, project-linked, and referral bonuses About Machint: Machint is proud to be an Equal Opportunity Employer. We foster an environment built on diversity, inclusion, respect, and innovation. For more information, visit www.machint.com and follow us on Twitter, Facebook, LinkedIn, and YouTube. Qualification : Bachelor's/Master's degree in Computer Science, Information Systems, or related field.

Job Description We are seeking a Senior Kubernetes Architect to join our team. In this role, you will not only fine-tune Kubernetes clusters for optimal performance but also lead our Kubernetes adoption strategy and serve as a thought leader in cloud-native technologies. Job Duties and Responsibilities: Kubernetes Cluster Optimization: Design, implement, and optimize Kubernetes clusters to ensure high availability, scalability, and performance. Diagnose and resolve complex issues related to cluster performance and stability. Develop and implement best practices for Kubernetes deployments, including security, monitoring, and management. Strategic Leadership: Define and drive the Kubernetes adoption strategy across the organization. Collaborate with stakeholders to align Kubernetes strategies with business goals and technical requirements. Advocate for and lead the adoption of cloud-native technologies and methodologies. Thought Leadership: Stay abreast of the latest developments in Kubernetes and related technologies. Share insights and knowledge through internal workshops, presentations, and documentation. Contribute to the community through blogs, speaking engagements, or open-source projects. Architectural Design: Create and maintain architectural frameworks and guidelines for Kubernetes deployments. Evaluate and recommend tools and technologies that complement Kubernetes ecosystems. Lead design reviews and provide guidance on complex architectural decisions. Team Collaboration: Work closely with development, operations, and DevOps teams to integrate Kubernetes solutions effectively. Mentor and guide junior team members on Kubernetes best practices and advanced techniques. Facilitate cross-functional collaboration to drive successful Kubernetes initiatives. Qualifications: Experience: 15+ years of experience in software engineering with at least 8+ years focusing on Kubernetes architecture and operations. Proven experience in designing, deploying, and tuning large-scale Kubernetes clusters. Technical Skills: Deep understanding of Kubernetes architecture, including components such as Pods, Services, Deployments, and Custom Resources. Proficiency in containerization technologies (Docker, containers). Experience with CI/CD pipelines, infrastructure as code (IaC), and cloud platforms (AWS, Azure, GCP). Leadership Skills: Demonstrated ability to lead strategic initiatives and drive adoption of new technologies. Excellent communication skills with the ability to influence and guide diverse teams. Education: Bachelor s degree in computer science, Engineering, or a related field (or equivalent experience). Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus. 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, Engineering, or a related field (or equivalent experience).

Overview At Microsoft, our core mission is empowering every person and every organization on the planet to achieve more. Industry Solutions (IS) is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, architects and consultants, who along with delivery experts are working together to bring Microsoft s mission of empowerment and cutting-edge technology - to life for the world s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Qualifications Required/Minimum Qualifications Bachelor's degree OR Master s degree in computer science, Information Technology, Engineering, or related field AND 14+ years experience in developing technology solutions, practice development, architecture, and consulting. Additionalor Preferred Qualifications Technical or Professional Certifications Inclusive and collaborative driving teamwork and cross-team alignment. Strong partner relationship management and solution development skills. Conversant knowledge of competing platforms and solutions. Strong executive presence including communication and presentation skills with high comfort to large and small technical audiences. Problem solving mentalityleveraginginternal and/or external resources, conflict resolution, and follow through with partners. Orchestration of application development lifecycle. Demonstrable architecture, design, implementation, and/or support of complex application architectures Candidates must alsodemonstrate the abilityto adapt tonew technologies, learn quickly, and understand relevant cloud trends is required. Other The job may require travel. Fluent English verbal and written communications skills area must. /span> Responsibilities Architecture and Design Leverages a structured approach to architecture projects using existing methodologies (e.g., Waterfall, Agile, Iterative) that make use of existing reference architecture and establishedarchitectural styles and design patterns. Defines and documents the Architecture through an architecture description document, an architecture decisions log, and a requirements/constraints traceability matrix to communicate the value proposition of the business solution Leads cost-based and technology-based discussions to explain the architecture in terms of its build, deployment, and ongoing operational use todeterminecustomer appetite for the business solution. DemonstrateROI that the business solution realizes. Collaborates with the Project Manager to jointly drive project/technical governance of the design, build, and deployment into use of proof of concepts (POCs) and pilots. Collaborates with business sponsor and customer/partner stakeholders (e.g., Business users, Enterprise Architects, Security Team, Operations Team) to gather and ratify requirements and constraints. Manages and resolves ambiguity in the requirements and documents assumptions and implications where it cannot be resolved. Drives development and execution of Test Plans to prove that each requirement/constraint has been implemented as expected by the customer. Collaborates with Project Manager and Account Team toidentify, categorize, and communicate business and technical risks. Generates new and/or improvements to existing intellectual property.Drives the re-use of intellectual property and recommends practices in both pre-sales and delivery. Participates and contributes to internal/externalcommunities. Trusted Advisor Develops a network of internal/external relationships to build influence in addressing problems/ blockers and facilitating additional views on the matter of interest. Stays up to date on Microsoft s technologies, products. Uses evidence-based arguments that articulate complex concepts in a simple manner to respectfully challenge Microsoft and customers / partners when a decision or course of action will not produceoptimalresults. Serves as the "technical conscience" to challenge the status quo and unrealistic expectations. Proactively resolves conflicts and seeks resolution to balance the overall outcome. Thought Leadership Shares ideas, insight, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using a thorough knowledge of specific Microsoft products and their context in the competitive landscape. Participates in external architect community events (e.g., conferences, seminars, technical meetups, Webcasts, blogs, hackathons) and shares learnings with internal team. Acts a mentor to junior colleagues to educate them on technical and non-technical concepts. Technology Areas Designing scalable solutions on Azure cloud platforms with focus on performance and resiliency, utilizing microservices architecture, data structures, modern application design patterns, and anti-patterns, such as MVC, CQRS and/or SAGA Engineering distributed applications within architectural scenarios such as Web andIoT Extensiveexperiencein application development including implementing,customizing, operating, and troubleshooting Azure Cloud solutions. Comprehensiveexpertisein microservices, Docker, and Kubernetes. Containers for packaging application deployment units and interacting with container-orchestration technologies such as Kubernetes, Service Fabric, Cloud Foundry DefiningCI/CDpipelines to automate test and release across different application environments using concepts such as Blue/Green and Canary deployments and related technologies (e.g.,Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet) Strong working knowledge of security controls such as encryption, AuthN/AuthZ, application monitoring and end-to end Telemetry. Proficient with one or more Cloud Databases such as Azur...

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

About Synopsys At Synopsys, we drive innovations that shape how we live and connect. From self-driving cars to AI-powered machines, our technology is central to the Era of Pervasive Intelligence. We lead in chip design, verification, and IP integration, enabling the creation of high-performance silicon chips and software content. Join us to help transform the future through continuous technological innovation. About You You are an experienced and dynamic CloudOps Manager with a proven track record in managing cloud infrastructure and leading teams to success. You thrive in a fast-paced, innovative environment and are passionate about cloud technologies that drive business outcomes. With deep expertise in AWS, Azure, and GCP, you ensure high availability, scalability, and security of cloud environments. You excel at collaborative problem-solving, incident management, and automation, while leading cross-functional teams and driving continuous improvement. What You ll Be Doing Manage, monitor, and optimize cloud infrastructure across AWS, Azure, GCP, or other cloud platforms. Lead a team of CloudOps engineers, ensuring 24x7 operations and driving team performance. Work closely with development and engineering teams to track issues, implement enhancements, and align cloud operations with business goals. Collaborate with the Customer Success Group to gather customer feedback, identify recurring issues, and provide actionable insights for service improvement. Implement processes for incident detection, response, and resolution to minimize downtime. Drive automation initiatives to improve deployment pipelines, monitoring systems, and operational efficiency. Ensure compliance with cloud security standards and best practices, including data protection and governance. Oversee changes in operations, ensuring smooth transitions and minimal disruptions. Regularly publish support metrics to track performance and service levels. The Impact You ll Have Ensure seamless delivery and optimization of cloud-based services, ensuring high availability and reliability. Lead and mentor a team of CloudOps engineers, fostering a culture of excellence and continuous improvement. Enhance collaboration between cloud operations and internal teams, aligning operations with business goals. Improve customer satisfaction by addressing customer feedback and proactively improving services. Refine incident response procedures, reducing downtime and enhancing service reliability. Drive automation and optimization efforts to increase operational efficiency. Ensure compliance with security standards, safeguarding cloud environments and customer data. What You ll Need 7+ years of experience in cloud operations, with at least 2 years in a leadership role. Strong expertise in AWS, Azure, or GCP (multi-cloud experience is a plus). Hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), container orchestration (Kubernetes, Docker), and CI/CD pipelines. Proven ability to work effectively with cross-functional teams, including development, engineering, and customer success groups. Proficiency in monitoring and automation tools like Prometheus, Grafana, Splunk, or similar. Strong analytical and troubleshooting skills in complex cloud-based systems. Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator) are highly desirable. Who You Are Excellent communication, leadership, and project management skills. Experience with hybrid cloud environments. Understanding of ITIL frameworks and service management processes. Familiarity with scripting languages (e.g., Python, Bash). Strong commitment to customer satisfaction and continuous improvement. The Team You ll Be a Part Of You ll join a dedicated and dynamic Cloud Operations team focused on managing, monitoring, and optimizing cloud infrastructure. Our mission is to ensure high availability, scalability, and security of cloud environments while driving business success and customer satisfaction. We collaborate closely with internal teams and the Customer Success Group to deliver exceptional cloud services and continuously improve operations. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to meet your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process. Inclusion and Diversity are integral to our culture. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

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.

What We Are Looking For We are seeking a motivated Full Stack Developer with 3 years of experience in Java and Python to join our innovative team. The ideal candidate is passionate about technology, thrives in a dynamic environment, and is committed to delivering high-quality software solutions. You will work closely with cross-functional teams to design, develop, and deploy scalable and efficient applications that power our Resolution Intelligence Cloud platform. Experience with Google or AWS cloud platforms and PaaS services is a must. Skills Required Proficient in Java and Python programming languages Strong understanding of front-end technologies such as HTML, CSS, and JavaScript Experience with modern front-end frameworks like React or Angular Knowledge of RESTful API design and development Familiarity with database technologies like PostgreSQL, MySQL, or MongoDB Experience with version control systems such as Git Understanding of containerization technologies like Docker Familiarity with CI/CD pipelines and tools Experience with Google or AWS cloud platforms and PaaS services Good to Have Knowledge of microservices architecture Experience with Kubernetes for container orchestration Understanding of DevOps practices Familiarity with Elasticsearch and Redis Experience with Agile/Scrum methodologies Role As a Full Stack Java and Python Developer at Netenrich, you will: Develop and maintain scalable and robust applications Collaborate with product managers, designers, and other developers to define and implement new features Write clean, efficient, and testable code Participate in code reviews and contribute to improving coding standards Troubleshoot and debug applications to ensure optimal performance Continuously learn and adapt to new technologies and best practices Contribute to the design and architecture of our Resolution Intelligence Cloud platform Join us at Netenrich and be a part of a forward-thinking team that is shaping the future of digital operations! Qualification : Proficient in Java and Python programming languages

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

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers