Cloud Platforms AWS Jobs in Hyderabad

Senior Search Engineer Full-Time | Hyderabad, India Department: Engineering Location: Hyderabad (On-site) Experience: 5+ Years Industry: Enterprise Software / Search Technology Employment Type: Full-Time Salary: Competitive & Based on Experience Job Summary We are seeking a highly experienced and technically proficient Senior Search Engineer with deep expertise in Apache Lucene and related search technologies. In this role, you will architect, develop, and optimize complex search functionalities within our enterprise platform. Your work will directly impact search scalability, performance, and accuracy across high-throughput, data-driven applications. Key Responsibilities Design, build, and maintain robust search infrastructure using Lucene and Lucene-based frameworks. Integrate Lucene search features into large-scale, enterprise-grade applications and manage ongoing system upgrades. Tune indexing strategies and optimize search algorithms for performance, accuracy, and efficiency. Conduct comprehensive performance testing and profiling to identify system bottlenecks and implement improvements. Create and manage custom analyzers, tokenizers, and filters to meet advanced business search requirements. Troubleshoot and resolve complex search-related issues across systems and environments. Monitor and evaluate emerging trends in search engines, text processing, and machine learning-based ranking. Work closely with cross-functional engineering teams and product owners to define and implement search-related features. Required Qualifications Bachelor's or Master s degree in Computer Science, Software Engineering, or a related technical field. 5+ years of hands-on experience in software engineering with a strong emphasis on search technologies. Deep knowledge and production-level experience with Apache Lucene. Proficiency in associated technologies such as Elasticsearch, Solr, or other Lucene-based libraries. Strong understanding of search algorithms, indexing mechanisms, and query optimization techniques. Solid foundation in data structures, algorithms, and object-oriented design principles. Experience working with high-throughput systems and scalable, distributed architectures. Preferred Skills (Nice to Have) Experience integrating search capabilities in cloud environments (e.g., Azure, AWS, or GCP). Familiarity with natural language processing (NLP), semantic search, and vector search technologies. Exposure to machine learning models for relevance tuning and personalized search. Background in performance benchmarking tools and profiling techniques. Lead the development of mission-critical search and indexing features used by enterprise customers. Be part of a collaborative team solving cutting-edge search performance challenges. Work in an environment that encourages innovation and continuous learning. Competitive compensation, modern tech stack, and ample growth opportunities. Qualification : Bachelor's or Masters degree in Computer Science, Software Engineering, or a related technical field.

Job Title: Principal Engineer Java Location: Hyderabad, India About Kanerika Kanerika Inc. is a leading global software products and services company focused on empowering data-driven enterprises. Co-founded by Wharton alumni, we specialize in helping organizations achieve digital transformation through innovative, custom-built solutions that optimize operations, enhance customer experiences, and fuel business growth. Awards & Recognitions Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India Recognized for data security excellence with ISO 27701, SOC 2, and GDPR compliance Position Overview We are looking for a highly skilled Principal Engineer Java to join our dynamic team in Hyderabad. In this role, you will lead the design, architecture, and development of scalable enterprise applications. You ll collaborate with cross-functional teams to deliver high-quality, mission-critical software that meets business goals. What You ll Do Architect, design, and implement complex enterprise-grade applications using Java and related technologies. Build and maintain RESTful APIs using Spring Boot, Spring Framework, and Spring DI/AOP. Work with databases such as Oracle, PostgreSQL, MySQL, or SQL Server. Integrate real-time messaging systems (e.g., Apache Kafka) for scalable event-driven architecture. Develop and deploy microservices in containerized environments. Utilize cloud platforms (AWS, Azure) for scalable application hosting. Apply Agile methodologies with a strong focus on code quality, testing, and standards. Manage source control and CI/CD pipelines using GitLab, Jenkins, and other DevOps tools. Mentor junior engineers and contribute to technical leadership and decision-making. What You ll Bring Bachelor s degree in Computer Science, Engineering, or related field. 5+ years of experience in Java/J2EE development with increasing levels of responsibility. Strong hands-on experience with: Spring Boot and Microservices architecture Real-time integration using Kafka or equivalent frameworks RDBMS like Oracle, SQL Server, or PostgreSQL Working knowledge of cloud services, containers, and DevOps tooling. Excellent problem-solving skills, high EQ and IQ, and the ability to lead by example. We re more than just a workplace we re a community where innovation, diversity, and professional growth are valued. Employee Benefits Culture & Work Environment Open Door Policy & Flat Hierarchies Collaborative Open Office Layout Flexible Working Hours Biannual Performance Appraisals Employee Referral Program Health & Wellness Health & Life Insurance (GMC, Term, Disability) Wellness Initiatives and Support Family & Parental Support Generous Parental and Family Medical Leave Company-Sponsored Family Events Time-Off & Perks Generous Paid Time Off (above industry average) Paid Sick Days, Holidays & Bereavement Leave Gratuity and Provident Fund Regular Team Outings Learning & Development Access to FLEX Enterprise Learning Repository Mentorship & Career Growth Programs Professional Certification Reimbursements Strong "Promote from Within" Culture Join Us Become part of a company that is redefining enterprise solutions. At Kanerika, your ideas matter, your growth is nurtured, and your contributions create lasting impact. Qualification : Bachelors degree in Computer Science, Engineering, or related field.

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.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.

Company: Evergent About Evergent: Evergent is a leading global technology provider, managing over 560 million user accounts across 180+ countries. We partner with major carriers such as AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as prominent media companies including HBO, FOX, SONY, and BBC. With a talented team of 600+ professionals worldwide, Evergent is renowned for delivering Customer Lifecycle Management solutions that accelerate digital transformation and unlock new revenue opportunities without disrupting legacy systems. Recognized by Silicon Valley VCs as a "diamond in the rough," we invite you to join us and be part of our growing success. Position: Cloud & IT Security Analyst Location: Hyderabad Experience Required: 4-8 Years Role Overview: As a Cloud & IT Security Analyst, you will be responsible for securing Evergent s SaaS systems, internal networks, and data platforms. Your role will involve monitoring, analyzing, and strengthening our cloud and IT infrastructure against potential security threats. You ll need to stay up-to-date with the latest security intelligence, including emerging hacking techniques, to proactively defend against breaches and ensure system integrity. Key Responsibilities: Cloud & IT Infrastructure Protection: Monitor and secure Evergent s cloud infrastructure and IT systems to prevent unauthorized access or data breaches. Security Assessments: Conduct regular security assessments, vulnerability scans, and penetration testing to identify potential risks. Log Analysis & Threat Investigation: Analyze security logs to investigate potential threats and take necessary action to mitigate risks. Security Controls & Policy Implementation: Develop and enforce security controls and policies to safeguard systems and data. Cloud Security Configuration: Manage cloud security configurations across AWS, Azure, and Google Cloud to ensure best practices are followed. Incident Response & Mitigation: Respond to and manage security incidents, minimizing impact and ensuring swift recovery. Security Audits & Compliance: Support annual security audits and ensure compliance with standards such as PCI-DSS, SSAE18, and GDPR. Client Engagement: Assist in responding to client RFPs/RFIs regarding Evergent s security practices and policies. Access Management: Define and enforce access privileges, control structures, and security resource management. Continuous Security Improvement: Proactively identify vulnerabilities, recommend security improvements, and stay ahead of emerging threats. Required Skills: Experience with cloud platforms (AWS, Azure, Google Cloud). Strong understanding of cybersecurity principles and network security. Proficiency in risk management and implementing security controls. Knowledge of compliance frameworks such as NIST, ISO 27001, and GDPR. Familiarity with security tools like SIEM and IDS/IPS. Certifications (Typical): CompTIA Security+ AWS Certified Security Specialty (ISC) CCSP CISSP (Certified Information Systems Security Professional) Qualifications & Education Requirements: BE, B.Tech, M.Tech, MCA, or any Bachelor's degree in Computer Science or related field. Preferred Skills: 4 to 8 years of experience in IT security or a related field. Strong written and verbal communication skills. Highly organized, responsive, and a diligent problem solver. Associate s degree or relevant certifications in Computers, Technology, or a related field. Technical Knowledge: Experience with UNIX, AIX, Linux, Cisco Network IDS, Cisco Host-based IDS, eTrust Access Control, ESM, IDS. Familiarity with DES encryption, Digital Certificates, SSL, VPN, IPSec, TCP/IP, DNS, and web security architecture. Knowledge of database security (e.g., MySQL), version control systems (e.g., Subversion), and antivirus solutions. Qualification : BE, B.Tech, M.Tech, MCA, or any Bachelor computer degree.

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).

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 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.

Position: Java Back-end Support Engineer Company: Nineleaps Location: Bangalore, India Experience: 2 4 years Industry: Technology Consulting Job Type: Full-Time About Nineleaps Nineleaps is a boutique technology-consulting firm that helps funded ventures and enterprises accelerate their product development and data efforts. With over 500+ employees, we are based in Bangalore, India. Over the past 10 years, our engineers have delivered 200+ innovative solutions to complex challenges across industries such as Retail, e-Business, Advertising, Finance, Transportation, Healthcare, and Education. Job Description We are looking for a highly skilled Java Back-end Support Engineer to join our team. The ideal candidate will be responsible for providing application support, analyzing code and logs to identify and resolve issues, and improving user experience by enhancing application processes and functionality. Primary Responsibilities: Provide application support by monitoring the support queue and addressing issues as per protocol. Ensure timely responses to user queries and follow up on each issue to closure. Collaborate with project leaders to create and maintain knowledge base documents for the applications. Identify improvements in applications, processes, and business logic to reduce support tickets and enhance efficiency. Read code and analyze system logs to determine the cause of issues and understand application behavior. Perform data and log analysis to troubleshoot errors and resolve user questions. Work independently with clients and possess excellent written and verbal communication skills. Track and resolve issues in a timely manner, ensuring proper documentation and follow-ups. Provide accurate daily handovers of business-critical issues to global peers. Maintain a high level of customer service and continuous communication with users. Demonstrate a positive, team-oriented attitude and sound judgment in all job responsibilities. Desired Skills and Experience: 2 4 years of experience in application support or back-end development. Strong experience with Java and Spring Boot. Knowledge of Public APIs and RESTful APIs. Familiarity with authentication and authorization protocols. Understanding of file transfer methods. Experience with SOAP, REST, Remote Procedure Calls, and DNS. Ability to handle API call failures and error codes. Proficiency in incident management (L1/L2), including triaging and prioritizing incidents.

Join Us in Solving Complex Business Problems with Data If yes, join us! In This Role, You Will Design components that automatically extract insights from data. Create components that automate storytelling both visual and narrative. Solve real-world architectural challenges across the entire data-to-deploy cycle. Mentor teams across the organization, helping them build and deploy scalable solutions. Demonstrate Gramex s capabilities to clients and show how it can address their business needs. Work on projects like process monitoring for a leading pharma company and exploring innovation, technology, and entrepreneurship. What You Bring Key Skills and Experience 4 6 years of experience in JavaScript and Python (experience with Pandas is a plus). Rock-solid programming skills in both Python and JavaScript. The ability to work both independently and as part of a collaborative team. Quick learner with a strong desire to improve continuously. Proven ability to deliver high-quality work in large volumes within tight timelines. Preferred Skills Excellent verbal and written communication skills. Strong relationship-building and organizational skills. Experience in demonstrating solutions/products to clients. Enthusiasm for working in a fast-changing field. Be at the forefront of data-driven decision-making. Collaborate with data science experts and industry leaders. Contribute to solving meaningful, real-world business problems. Work in a dynamic environment with ample opportunities for learning and growth.

What Gramener Offers You Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with ample opportunities to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Role Description We are seeking a Backend Developer with 5+ years of experience in application development using Python and related backend technologies. The ideal candidate will be responsible for interpreting business requirements and translating them into clear, robust, and scalable technology solutions. Key Responsibilities Develop and maintain backend solutions using Python Tornado and FastAPI frameworks. Design, implement, and maintain RESTful APIs, ensuring secure token authentication and data compression. Work with various RDBMS models in the cloud and integrate different databases such as Clickhouse, MS SQL, Postgres, and Snowflake. Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions. Debug and troubleshoot issues by analyzing log files and error messages to identify and resolve root causes. Utilize version control and issue tracking systems such as Bitbucket, Git CLI, and Jira to manage projects efficiently. Follow best practices for code development, ensuring scalability, maintainability, and performance. Preferred Skills and Experience Strong understanding of RDBMS database models in the cloud environment. Basic knowledge of cloud components like Databricks, ADLS, and OAuth/Secrets is a plus. Proven experience with Python Tornado and FastAPI frameworks. Familiarity with token authentication mechanisms and secure API development. Good understanding of Agile methodologies and working in an Agile environment at scale. Excellent problem-solving skills, with the ability to analyze complex systems and find innovative solutions. Strong communication and teamwork skills, with a collaborative spirit. About Us At Gramener, we consult and deliver solutions that empower organizations to make data-driven decisions. We help our clients convert data into a strategic differentiator through strategic data consulting, advanced analytics, and visualization solutions. Our mission is to analyze and visualize large amounts of data, enabling organizations to gain valuable insights and achieve their business goals.

Role Overview We are looking for a Technical Lead with 8 12 years of experience in Python and JavaScript development. You will architect and design new solutions, develop internal tools for data analysis and visualization, and lead data-driven projects from concept to delivery. This role involves working with cutting-edge technologies and collaborating with diverse teams to deliver impactful solutions for clients across multiple domains. Key Responsibilities Architect and design data pipelines and data flow architecture for scalable solutions. Build and integrate custom solutions that leverage models, algorithms, and point solutions to meet client needs. Lead the development of Minimum Viable Products (MVPs) and work closely with pre-sales teams to propose and implement solutions. Develop internal tools for data analysis and visualization using technologies such as Python, JavaScript, R, SQL, HTML, and CSS. Collaborate with cross-functional teams to ensure smooth project execution and high-quality deliverables. Manage data-driven projects from ideation to execution, ensuring alignment with business goals. Demonstrate solutions and product capabilities to clients, addressing their technical needs and objectives. Required Skills and Experience 8 12 years of hands-on programming experience in Python and JavaScript. Strong foundation in data pipeline design and data flow architecture. Experience with Linux, JIRA, and Apache. Proven ability to architect scalable solutions and deliver high-quality results within deadlines. Familiarity with custom delivery frameworks and building MVP solutions for pre-sales activities. Excellent verbal and written communication skills. Strong relationship-building and organizational skills with a collaborative spirit. Preferred Qualifications BTech/Master s degree or equivalent in Computer Science, IT, or related field. Experience in formulating, solutioning, and managing data-driven projects. Knowledge of integrating solutions across multiple domains and platforms. Willingness to travel to end-client sites when required. First-hand experience in working on C-suite-focused business advisory projects. An opportunity to collaborate with industry experts, data scientists, and domain champions. Be part of a dynamic, fast-changing environment with the freedom to innovate and create meaningful solutions. Work with cutting-edge technologies and make a real impact. Qualification : BTech/Masters degree or equivalent in Computer Science, IT, or related field.

At Planful, you ll work with a talented and passionate team dedicated to building the best product in the financial planning space. Beyond collaborating with fantastic people and customers, we offer a vibrant work environment and great benefits. As an Engineering Operations Analyst, you ll be part of a dynamic, high-impact role with strategic and operational responsibilities. You will combine data analytics, technical knowledge, business acumen, and leadership skills to help improve and optimize engineering operations. Role: Engineering Operations Analyst Reports to: SVP of Engineering What You Will Do Trends & Insights: Analyze qualitative and quantitative data to provide insights that improve product development and maintenance processes. Program Leadership: Define program scope, OKRs, and KPIs, ensuring alignment with stakeholder objectives. Cross-functional Collaboration: Partner with operations, engineering, and product teams to enhance efficiency and drive key initiatives. Risk Management: Identify and mitigate risks, escalating issues when necessary to ensure timely resolution. Communicate clearly with cross-functional partners across the company. Continuous Improvement: Evaluate program performance and implement improvements to optimize efficiency and outcomes. Communication: Provide regular program updates to stakeholders, including executive leadership. Conduct weekly, monthly, and quarterly business reviews. Track and communicate progress using clear success metrics. Decision Making: Build strong relationships with technical and non-technical stakeholders across diverse teams to enable informed decision-making, prioritization, and risk management. Governance: Establish program governance structures, ensuring effective management of risk mitigations, postmortems, and escalations. What You Will Need Strong analytical and quantitative skills, with the ability to use data and metrics to support assumptions, recommendations, and customer/product-focused decisions. Experience solving structured and ambiguous problems at scale, with excellent attention to detail in fast-paced environments. Proven ability to manage technical cross-functional projects, including planning, execution, estimation, risk management, and stakeholder engagement. Self-motivated with a strong affinity for strategic problem-solving, operations management, and driving results. Solid analytical, problem-solving, negotiation, and organizational skills. Ability to explore and learn new technologies and hybrid processes. Excellent written and verbal communication skills, with the ability to influence and collaborate across job functions. Preferred Qualifications Experience working with scaled product teams. Demonstrated leadership and communication skills, with the ability to interact with both technical and non-technical teams. Previous experience in a product-based SaaS company or similar fast-changing environment. At Planful, we help our customers and our people achieve peak performance. We take pride in fostering a culture that encourages growth, collaboration, and inclusivity. Here are just a few reasons to join our team: Time Off & Wellness: 2 volunteer days, birthday PTO, and quarterly company-wide wellness days. Parental Support: 3 months of diaper supplies and meal deliveries during the first month of maternity/paternity leave. Annual Company Event: Planful Palooza our in-person, company-wide culture kickoff, most recently held in Goa, India. Professional Development: Company-wide mentorship program, executive-sponsored initiatives, and manager-specific monthly training programs. Employee Resource Groups (ERGs): Join communities such as Women of Planful and Parents of Planful. We encourage you to bring your authentic self to work and create new ERGs along the way.

About the Role: Senior Software Development Engineer Planful is seeking a Senior Software Development Engineer to help design and deliver high-quality software solutions that enhance our cloud-based financial planning and analysis platform. You will collaborate closely with product managers, engineers, and other stakeholders to create innovative features that meet customer needs and drive business growth. This is an exciting opportunity for someone who is self-motivated, passionate about the latest technologies, and thrives on solving complex business problems through code. Responsibilities Design & Development: Develop and enhance features for our cloud-based financial planning platform. Performance Optimization: Refactor and optimize existing code to improve system performance, scalability, and maintainability. Quality Assurance: Test and debug software to meet high-quality standards and ensure reliability. Mentorship: Mentor and coach junior engineers, fostering their growth and development. Documentation: Contribute to technical documentation, including design specifications, user manuals, and system documentation. Collaboration: Work closely with cross-functional teams to align on technical solutions and business requirements. What You Bring to the Table 6+ years of experience in software development, with strong problem-solving skills. Expertise in Java 17 and Spring frameworks. Strong foundation in computer science fundamentals: object-oriented design, data structures, algorithms, and complexity analysis. Proficiency in modern web development technologies: AJAX, HTML5, JavaScript, jQuery, CSS, Responsive Design, and web services. Experience with NoSQL databases (especially MongoDB) and web servers. Familiarity with distributed (multi-tiered) systems and complex software architectures. Proven experience leading the design and delivery of complex software systems. Ability to recognize and adopt best practices in architecture, design, testing, version control, documentation, deployment, and operations. Broad knowledge across front-end, back-end, and integration technologies. At Planful, we are passionate about helping our customers and our people achieve peak performance. We ve built a culture that supports innovation, growth, and work-life balance. Time Off & Wellness: 2 volunteer days, birthday PTO, and quarterly wellness days. Parental Support: 3 months of diaper supply and meal deliveries for the first month of your maternity/paternity leave. Annual Planful Palooza: Our in-person, company-wide culture kickoff event. Professional Growth: Access to a company-wide mentorship program and manager-specific monthly training sessions. Diversity & Inclusion: Join Employee Resource Groups (ERGs) like Women of Planful, LatinX at Planful, Parents of Planful, and many more. We celebrate diversity and encourage you to create new ERGs and communities.

Responsibilities Develop and maintain the platform infrastructure - provide capacity and ensure availability - on premise and cloud Support our commitment to continuous integration, unit tests, and functional automation Provide attention to detail and a dedication to delivery of high-quality, stable deliverables Work seamlessly as part of a multi-site, multi-cultural, development and testing team Be self-motivated; driven to achieve and exceed committed milestones Display strong collaboration skills, including the ability to mentor and be mentored Desire to work in a growing, fast-paced environment of innovation Participate in the team s on-call rotation to address complex problems in real-time and keep services operational and highly available Required Skills Experience deploying production code Experience with IaaC, Ansible Experience with CI/CD (Jenkins experience a plus) Ability to share and collaborate with peers via presentations and written technical documentation Experience developing or operating in SaaS applications 2-5 years of System Engineering experience working with large scale deployments System administration in a production environment Excellent technical and people skills are an absolute necessity Proficiency in scripting with languages such as Bash, Perl and Python Strong Linux experience, especially CentOS/RHEL/OL Desirable Good knowledge of OOP, APIs and REST services Core database (SQL) skills including ability to execute and debug complex queries Experience with Scrum in an Agile Development environment BS or MS degree in Computer science or equivalent Experience with configuration management systems (ex. Chef, Puppet, CFengine, etc.) Qualification : BS or MS degree in Computer science or equivalent

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