AWS Jobs

Huzalabs Consultancy Partnership Program - Call for ExpertsAbout HuzalabsHuzalabs Ltd is a technology company that delivers innovative solutions and professional services to government institutions, private-sector organizations, and development partners across Africa and internationally.About the ProgramHuzalabs is expanding its Consultant Partner Network and invites experienced professionals and industry experts to register for current and future consultancy assignments.The program connects qualified consultants with innovative and high-impact projects that match their expertise, professional experience, and availability.Consultancy AreasOpportunities may be available in the following areas:* Software development and engineering* Internet of Things* Digital transformation* Technology startup acceleration* Project and program management* Business analysis* Quality assurance and software testing* Data science and artificial intelligence* Cybersecurity and information systems* Cloud computing and IT infrastructure* Procurement and business development* Other technology-driven and specialized professional fieldsConsultant ResponsibilitiesDepending on the assignment, selected consultants may be required to:* Provide technical or professional expertise within their area of specialization.* Complete agreed deliverables according to the project scope and timeline.* Collaborate with Huzalabs teams, clients, partners, and other consultants.* Prepare reports, recommendations, technical documents, or other required outputs.* Participate in project meetings, assessments, training sessions, or implementation activities.* Maintain confidentiality and professional standards throughout the engagement.Benefits of Joining the ProgramConsultant Partners may benefit from:* Access to current and future consultancy opportunities* Participation in diverse and high-impact projects* Collaboration with experienced professionals and organizations* Competitive compensation based on the assignment and level of expertise* Membership in a growing regional and international expert networkApplication ProcedureInterested professionals must complete and submit the Huzalabs Consultancy Partnership Program registration form through the following link:Applicants must provide complete and accurate information about their qualifications, experience, areas of expertise, and availability. A current Curriculum Vitae should also be submitted where requested.Submission of the form registers the applicant in the Huzalabs Consultant Partner Network for consideration for suitable consultancy assignments.Only applicants whose profiles match available opportunities will be contacted for further discussions and onboarding.

Job Location: KochiWork Mode: Work from OfficeExperience: 3-5 YearsEmployment Type: Full-TimeJob DescriptionWe are looking for a Senior Python Engineer with 3-5 years of hands-on experience in Python development to design and build scalable backend services, REST APIs, data pipelines, and data-driven applications. The role involves working with modern Python frameworks, databases, cloud platforms, and data-processing technologies. The candidate will also mentor 2-3 junior developers and support task planning, technical guidance, and project delivery.Key Responsibilities:Develop scalable backend services using Python, FastAPI, and Flask.Design and integrate REST APIs for business applications.Build data pipelines using Python, SQL, and PySpark.Work with PostgreSQL and SQL Server databases.Develop data-driven and intelligent product features.Use pandas for data processing and analysis.Work with Redis for caching and performance optimization.Deploy and manage applications using Docker and CI/CD.Work with AWS or Azure cloud platforms.Use Git for version control and collaborative development.Mentor and guide 2-3 junior developers.Support task planning, code reviews, troubleshooting, and delivery.Follow best practices for coding, security, scalability, and system design.Preferred Skills:Experience with both FastAPI and Flask.Experience in building data-driven applications.Knowledge of cloud-based application deployment.Experience with GitHub Actions or GitLab CI.Understanding of application performance, scalability, and system design.

We are seeking an experienced AI Platform Engineer to join our team in Bangalore. The ideal candidate will have 7 to 10 years of experience in developing and managing AI platforms.Key Responsibilities:- Design and Develop AI Models: Create scalable AI models tailored for various applications, ensuring they meet performance and accuracy standards.- Optimize AI Workflows: Streamline and improve existing AI workflows to enhance efficiency, reduce latency, and lower operational costs.- Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to ensure alignment on project goals and deliverables.- Deploy AI Solutions: Implement and maintain AI systems in production environments, ensuring they are reliable, secure, and user-friendly.- Monitor System Performance: Continuously analyze and monitor AI platform performance, making adjustments or updates as needed to improve functionality.- Stay Updated on AI Trends: Keep up with the latest advancements in AI technology to incorporate innovative solutions and stay competitive.Required Skills and Expectations:- A deep understanding of AI and machine learning frameworks such as TensorFlow or PyTorch.- Proficiency in programming languages like Python, Java, or C++ for building AI applications.- Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions effectively.- Strong problem-solving skills and the ability to analyze complex data sets.- Excellent communication skills to collaborate effectively with various teams and present technical concepts to non-technical stakeholders.- Previous experience in managing AI projects from inception to deployment, demonstrating leadership and strategic thinking.

ROLE OVERVIEWYou will be responsible for building, maintaining and productionizing the backend infrastructure of VAMS ATLAS.The platform must support:* Deterministic scientific computation* Reproducible pipeline execution* Immutable/versioned reference artifacts* PostgreSQL-backed registries* Asynchronous computational workloads* API services* Audit trails and provenance* Evidence and entitlement gating* Report generation contracts* Cloud object storage* Production observability* Secure integration with frontend applicationsCORE RESPONSIBILITIES1. Backend API DevelopmentDevelop and maintain backend services and APIs supporting the VAMS BIOME ecosystem.2. PostgreSQL & Data ArchitectureOwn and extend the ATLAS PostgreSQL data layer. The engineer will work with registries covering areas such as:* samples* sequencing runs* analysis runs* score definitions* panels* conditions* reference cohorts* reference artifact sets* pipeline/version metadata* QC flags* confidence penalties* report outputs* audit recordsScientific outputs must remain traceable to the exact configuration and artifacts from which they were generated.3. Reference Artifact RegistryImplement and maintain the VAMS ATLAS Reference Artifact Registry.4. Deterministic Reference SelectionImplement deterministic selection of reference cohorts/artifacts based on analysis context.5. Analysis Run OrchestrationBuild and maintain the execution layer connecting backend services with computational/bioinformatics pipelines.The engineer is not expected to invent microbiome algorithms.Bioinformatics and scientific teams define biological processing and interpretation logic.The backend engineer makes these pipelines reliable, deterministic, scalable and auditable.6. Two-Mode Execution ArchitectureThe platform maintains strict separation on Cohort Build ModeUsed offline to construct and register approved reference artifacts.7. Auditability & ProvenanceEvery ATLAS run must generate sufficient provenance to reconstruct the analysis.Where appropriate, computational outputs should have integrity hashes.A historical report should be traceable back to its computational inputs and configuration.8. Scientific Governance EnforcementThe backend is responsible for enforcing scientific governance supplied by the scientific/Founders Office configuration.9. Reporting BackendDevelop structured report objects by:* VAMS ATLAS web applications* downloadable reports* clinician-facing interfaces* future mobile applications* analytics and internal systems10. Cloud & InfrastructureHelp operate and evolve the cloud execution architecture.Expected areas include:* AWS* S3/object storage* containerized workloads* Docker* Asynchronous jobs/queues* Worker infrastructure* CI/CD* Environment management* Secrets management* Log/ Monitor* Health checksExperience with one or more of the following is valuable:* AWS Batch* ECS/Fargate* Step Functions* Lambda* SQS* EventBridge* CloudWatchEquivalent production cloud experience is acceptable.11. Security & Production EngineeringImplement secure engineering practices across the backend.Experience working with health, genomic or other sensitive datasets is advantageous.REQUIRED TECHNICAL SKILLSCandidates should have strong practical experience with most of the following:Backend* Python* FastAPI or comparable modern Python API framework* Pydantic / schema validation* REST API design* asynchronous/background processingDatabase* PostgreSQL* SQL* relational schema design* migrations* constraints and indexes* transactional systems* JSON/JSONBInfrastructure* Docker* Linux* Git / GitHub* CI/CD* AWS or equivalent cloud infrastructure* object storage such as S3* environment and secrets managementEngineering* Automated testing* API testing* Integration testing* Structured logging* Exception handling* Idempotent operations* Versioning* Reproducible executionSTRONGLY PREFERRED EXPERIENCECandidates with experience in any of the following will be particularly valuable:* Bioinformatics* Genomics* Microbiome data* Scientific computing* Health-tech* Clinical software* Laboratory data systems* Workflow orchestration* Data engineering* ML/data pipelines* Reproducible computational pipelinesFamiliarity with concepts such as FASTQ, sequencing pipelines, reference databases or computational provenance is advantageous but not mandatory.Important Role BoundaryThis position owns engineering implementation, not independent scientific decision-making.The Backend / Platform Engineer should not independently:* Invent microbiome scoring formulas* Modify biological thresholds* Change evidence tiers* Determine whether datasets are scientifically valid* Redefine condition mappings* Reinterpret microbiome biology* Modify scientific recommendationsThose decisions are supplied through governed scientific specifications.The engineers responsibility is to ensure those specifications are implemented correctly, deterministically, securely and audibly.What Success Looks LikeWithin the first few months, the successful engineer should be able to demonstrate that:1. ATLAS backend services can reliably execute production analysis workflows.2. Every analysis run is versioned and auditable.3. Historical analyses can identify the exact reference artifacts used.4. Reference artifacts cannot be accidentally modified by production user workflows.5. Scientific gating is enforced server-side.6. Backend APIs expose stable contracts to frontend applications.7. Failed computational jobs can be diagnosed and recovered safely.8. Automated tests cover critical backend and governance rules.9. Production services have appropriate logging, monitoring and health checks.10. The platform can scale from Phase-1 operations toward substantially larger sample volumes without architectural replacement.Candidate ProfileWe are particularly interested in engineers who enjoy building systems where correctness matters more than simply shipping endpoints.You may be a good fit if you:* Think carefully about system boundaries* Understand database integrity* Prefer deterministic systems over hidden behavior* Write testable code* Document architectural decisions* Are comfortable reading technical/scientific specifications* Can work independently* Can challenge ambiguous requirements constructively* Understand that scientific software requires stronger provenance than ordinary consumer applicationsMinimum Qualifications* Bachelors degree in Computer Science, Software Engineering, Information Technology or related discipline, or equivalent demonstrated engineering experience* Approximately 3+ years of professional backend/software engineering experience* Strong Python skills* Strong PostgreSQL/SQL skills* Experience building production APIs* Experience with Docker and Git* Experience deploying or operating cloud-based systems* Good understanding of software testing and production debuggingPreferred Qualifications* 4-6+ years backend/platform experience* FastAPI production experience* AWS architecture experience* Workflow/orchestration experience* Bioinformatics or computational biology exposure* Experience handling sensitive health/scientific data* Experience building reproducible data-processing systems* Infrastructure-as-code experience* Strong automated testing practices* Experience with observability and production incident debuggingWHAT TO SUBMITInterested candidates should submit the ff:* Resume/CV* GitHub profile or examples of previous technical work where available* Brief description of a backend/platform system they personally designed or substantially implemented* Technologies used* Their specific contribution to the architectureShortlisted candidates will complete a technical discussion and practical architecture/coding assessment focused on backend engineering, PostgreSQL, APIs, deterministic processing and production system design.

Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.

We are looking for a Data Engineer with 9 to 15 years of experience to join our team in Chennai. This role offers the flexibility of working from home. The successful candidate will play a crucial role in managing and optimizing data pipelines to support our data-driven decision-making processes.Key Responsibilities:- Data Pipeline Development: Design and create efficient data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from various sources.- Data Management: Manage large sets of data, ensuring their accuracy, privacy, and security throughout the entire data lifecycle.- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary data solutions.- Performance Optimization: Monitor and optimize the performance of existing data systems and processes for improved efficiency and scalability.- Documentation: Maintain clear and comprehensive documentation of data processes and architecture for future reference and compliance.Required Skills and Expectations:The ideal candidate should possess strong programming skills, especially in Python or Java, and have experience with SQL and NoSQL databases. Familiarity with data warehousing tools and cloud platforms such as AWS or Azure is expected. Candidates should be adept in using ETL tools and have knowledge of data modeling techniques. Strong analytical and problem-solving skills are crucial, along with the ability to work independently and communicate effectively with team members and stakeholders. The candidate should demonstrate a proactive approach to learning new technologies and methodologies in the data engineering field.

DevOps EngineerRoles & ResponsibilitiesAs a DevOps Engineer, you will be responsible for:Linux Systems ManagementAdminister, secure, and maintain Linux-based servers across environments.CI/CD Pipeline ManagementDesign and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, and integrate automated tests and deployments.Cloud & On-Prem InfrastructureDeploy and manage infrastructure on AWS and On-Prem systems, ensuring scalability and high availability.Containerization & OrchestrationBuild and manage containerized applications using Docker.Infrastructure as Code (IaC)Use Terraform, Ansible, or similar tools to provision and configure infrastructure through version-controlled code.Automation & ScriptingDevelop automation scripts using Python, Ansible, Bash, or Shell to streamline operations.Monitoring & LoggingConfigure and maintain Prometheus, Grafana, Loki, CloudWatch, or similar tools to ensure observability and timely issue detection.Security & ComplianceImplement security best practices, manage IAM access, secrets, and perform regular patching and vulnerability reviews.Version Control & CollaborationWork with Git repositories, branching strategies, and coordinate with Development, QA, and Operations teams.Database ManagementMaintain MySQL/MongoDB databases, including monitoring, performance tuning, and backup/recovery.Operational SupportTroubleshoot infrastructure issues, ensure system reliability, and maintain documentation and process improvements.

As a Full Stack Developer intern, you will be responsible for both front-end and back-end development of web applications. You will work with a variety of technologies and tools while collaborating with a team to deliver high-quality software solutions.Key Responsibilities:- Develop Front-End Features: Design and implement user-facing features using HTML, CSS, and JavaScript to ensure a smooth and engaging user experience.- Build Back-End Services: Create and manage server-side applications and databases, ensuring data is processed and stored efficiently.- Collaborate with Team Members: Work closely with designers and other developers to understand project requirements and contribute ideas for improvements.- Test and Debug Applications: Identify and fix bugs in the code to enhance performance and ensure applications run smoothly across different devices.- Participate in Code Reviews: Share feedback on code improvements and learn from feedback provided by team members to enhance your programming skills.Required Skills and Expectations:- Proficiency in basic programming languages such as HTML, CSS, and JavaScript is essential. Familiarity with frameworks like React or Angular is a plus.- Understanding of server-side languages like Node.js, PHP, or Python and knowledge of database management systems.- Strong problem-solving skills and the ability to think critically, especially when debugging code and designing new features.- Good communication skills to effectively collaborate with team members and articulate ideas.- Eagerness to learn and adapt to new tools and technologies, as well as a passion for software development and coding.

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.Location: IndoreExperience: 3-5 YearsKey ResponsibilitiesDesign, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.Build, optimize, and maintain data warehouses, data lakes, and relational databases.Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.Optimize database performance and manage large-scale datasets for efficient processing.Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.Implement data governance, security, and compliance standards.Troubleshoot and resolve data pipeline, database, and ETL-related issues.Stay updated with the latest trends and technologies in data engineering.Required SkillsProgramming & DatabaseStrong proficiency in Python (Pandas, NumPy)Excellent SQL skillsExperience with relational databases such as SQL Server, PostgreSQL, or MySQLData EngineeringStrong understanding of ETL/ELT conceptsHands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL toolsExperience in designing scalable data pipelinesData ModelingEntity-Relationship (ER) DiagramsDimensional ModelingData NormalizationCloud & Big DataExperience with AWS, Azure, or GCPFamiliarity with Apache Spark, Hadoop, and KafkaKnowledge of Apache Airflow for workflow orchestrationGood to HaveExperience with Git and CI/CD pipelinesKnowledge of Docker or KubernetesExposure to Power BI, Tableau, or other BI toolsUnderstanding of data governance and security best practicesQualificationBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.3-5 years of experience in Data Engineering or a similar role.How to ApplyInterested candidates can send their updated CV to chhabi.s@zecdata.com or contact 9039081253 for more information.

- Develop, test, implement, and maintain Java-based applications- As a Java Developer, you will be responsible for creating, testing, and deploying Java applications to meet business requirements.- Collaborate with cross-functional teams to define, design, and ship new features- You will work closely with teams across the organization to gather requirements, design solutions, and deliver new features.- Troubleshoot, debug, and resolve technical issues- As part of your role, you will investigate and fix any technical issues that may arise, ensuring the smooth functioning of the applications.- Write well-designed, efficient code- Your coding skills will be crucial in producing high-quality, efficient code that meets performance standards.- Stay updated on emerging technologies and industry trends- It is essential for Java Developers to stay up-to-date with the latest technologies and trends in the Java development space.Required Skills and Expectations:- Bachelor's degree in Computer Science, Engineering or related field- 2-4 years of experience in Java development- Proficiency in Java programming language- Solid understanding of object-oriented programming principles- Experience with web services and API integration- Strong problem-solving skills- Excellent communication and collaboration abilities

As an AWS Cloud Engineer, you will play a crucial role in managing and enhancing cloud-based services. Your work will involve developing solutions to improve reliability and scalability for various applications hosted on AWS. Key Responsibilities:- Cloud Infrastructure Management: You will manage and maintain AWS cloud infrastructure, ensuring that all services are running optimally and securely.- Deployment and Monitoring: You will assist in deploying applications and services on AWS, while also monitoring their performance to ensure they meet business requirements.- Troubleshooting Issues: When problems arise, you will diagnose and resolve cloud infrastructure issues, minimizing downtime and ensuring optimal performance.- Collaboration with Teams: You will work closely with development and operations teams to understand cloud needs and design solutions that support their objectives.- Documentation and Reporting: You will document configurations, processes, and solutions to maintain clear and accessible records for future reference.Required Skills and Expectations:You should have a degree in Engineering (B.E) or an advanced diploma, along with 0 to 6 years of relevant experience. A solid understanding of AWS services such as EC2, S3, and CloudFormation is essential. Familiarity with scripting languages, like Python or Bash, will be beneficial for automation tasks. You should possess strong problem-solving skills and the ability to communicate technical concepts effectively. A commitment to learning and adapting to new technologies in cloud computing is important. This role requires you to work full-time from our office in Coimbatore.

We are looking for a DevOps Engineer who will help us streamline our operations and improve the efficiency of our development processes. This role is ideal for individuals with a range of experience, from fresh graduates to those with a few years in the field.Key Responsibilities:- Manage Infrastructure: Set up and maintain servers, networks, and other infrastructure to ensure systems run smoothly and efficiently.- Automation: Develop scripts and tools to automate repetitive tasks, helping to save time and reduce errors in processes.- Continuous Integration and Delivery (CI/CD): Implement and manage CI/CD pipelines to enable rapid and reliable software releases.- Monitoring and Logging: Use various monitoring tools to keep track of system performance and log data to quickly identify and resolve issues.- Collaboration: Work closely with developers and other IT staff to facilitate smooth and efficient software development and deployment.- Security: Help ensure that security best practices are followed in all deployments and that sensitive data is protected.Required Skills and Expectations:Candidates should have a basic understanding of programming and scripting languages like Python, Bash, or similar. Familiarity with cloud services like AWS, Azure, or Google Cloud is a plus. Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes is beneficial. Strong problem-solving skills and a willingness to learn new technologies are essential. Good communication skills are also important, as you will work with different teams to achieve common goals. A background in fields such as B.C.A, B.B.A, B.Com, B.Sc, or B.E is preferred.

As an AI Developer, you will be at the forefront of creating intelligent systems and enhancing existing applications with artificial intelligence capabilities. This role is perfect for individuals eager to learn and grow in the field of AI.Key Responsibilities:- Develop AI Models: Create and implement machine learning models by analyzing data and ensuring their accuracy and performance.- Data Preparation: Collect, clean, and preprocess data to make it suitable for training AI models, ensuring high-quality results.- Collaborate with Teams: Work with other developers and analysts to understand system requirements and integrate AI functionalities into applications.- Test and Evaluate Models: Regularly assess and refine AI models to improve their performance based on feedback and testing results.- Stay Updated: Keep abreast of the latest trends in AI and machine learning to incorporate new techniques and tools into your work.Required Skills and Expectations:- A foundational understanding of programming languages such as Python, R, or Java is essential. Familiarity with libraries like TensorFlow or PyTorch is a plus.- Strong analytical skills to interpret complex data and derive actionable insights from it.- Ability to communicate technical concepts clearly to team members and stakeholders.- Eagerness to learn and adapt in a fast-paced environment, demonstrating a proactive approach to problem-solving.- A degree in B.C.A, a vocational course, or a professional degree in a related field is necessary, along with up to 2 years of experience in a similar role.

As a DevOps Engineer, you will play a crucial role in bridging the gap between development and operations teams. You will be responsible for implementing and managing infrastructure and processes that support software development, ensuring that applications run smoothly and efficiently.Key Responsibilities:- Automation of Deployment Processes: You'll design and implement automated deployment pipelines to streamline the application release process, reducing the time it takes to put new code into production.- Monitoring and Performance Tuning: Your role will involve monitoring application performance and infrastructure health, proactively identifying areas for improvement to ensure optimal performance.- Collaboration with Development Teams: You will work closely with software developers to understand their requirements and provide tools and environments that support the development process.- Configuration Management: You'll manage configuration files and ensure that environments are consistently set up, enabling faster and error-free deployments.- Troubleshooting Issues: When problems arise, you'll be responsible for diagnosing and fixing issues in production systems, ensuring minimal downtime.To be successful in this role, candidates should have a solid understanding of DevOps principles and practices. Proficiency in scripting languages such as Python or Bash is essential. Familiarity with CI/CD tools (like Jenkins or GitLab CI) and experience with cloud platforms (such as AWS or Azure) is highly valuable. Additionally, having practical knowledge of containerization technologies like Docker will be beneficial. Strong problem-solving skills and the ability to work collaboratively within a team are necessary.

Senior AI Engineer Job RequirementsExperience: 5 - 8 yearsNo. of Positions: 4Budget: 1,25,000/- Per monthPrimary SkillsAI/MLsuch as AWS/Azure/GCP Solutions Architect TO GAF Certified Kubernetes Administrator with exposure to Lean Six SigmaJob DescriptionAbout the roleWe are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.What You Bring You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions. You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go. You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms. You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud. You understand APIs, microservices, distributed systems, containerization, and modern integration patterns. You have experience using AI-assisted development tools and engineering productivity accelerators. You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution. You understand secure engineering principles, data privacy considerations, and enterprise governance expectations. You are a structured problem solver with strong communication and stakeholder management skills.Good to have skills / qualifications Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments. Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices. Experience working within banking, fintech, payments, or other highly regulated industry environments. An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline. Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage. Experience leading engineering transformation, automation initiatives, or enterprise modernization programs. Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.

As an Application Support Engineer, you will play a critical role in ensuring the smooth operation of our software applications. You will work closely with users to resolve issues and enhance their experience. Your problem-solving skills and technical knowledge will be essential for success in this position.Key Responsibilities:- Application Monitoring: You will continuously monitor applications to identify potential issues before they affect users.- Issue Resolution: When users encounter problems, you will diagnose and resolve these issues promptly to minimize disruption.- User Support: Provide technical support to users, guiding them through troubleshooting steps and answering their questions.- System Maintenance: Regularly assist in maintaining and updating applications to ensure optimal performance and security.- Documentation: Create and update documentation related to support processes, common issues, and solutions for future reference.- Collaboration: Work closely with development teams to communicate user feedback and help improve application features.Required Skills and Expectations:You should have 3 to 6 years of experience in application support or a similar role. Strong troubleshooting skills are essential, along with a good understanding of software applications and their functionalities. Familiarity with databases and programming languages will be beneficial. Effective communication skills are necessary to interact with both technical and non-technical users. A proactive approach to problem-solving and a willingness to learn new technologies are expected in this role.

We are seeking an experienced DevOps Engineer with 9 to 13 years of experience to join our team in Bangalore or Hyderabad. The ideal candidate will play a critical role in our software development and operations, focusing on streamlining processes, enhancing system reliability, and ensuring efficient deployment practices.Key Responsibilities:- Continuous Integration and Deployment (CI/CD): Design and implement CI/CD pipelines to automate software build, test, and deployment processes, ensuring faster and more reliable releases.- Infrastructure Management: Manage and maintain cloud infrastructure, ensuring it is scalable, secure, and cost-effective while implementing infrastructure as code practices.- Monitoring and Performance Tuning: Set up monitoring systems to track application and infrastructure performance, troubleshooting issues and tuning systems proactively to enhance reliability.- Collaboration Across Teams: Work closely with development, QA, and IT teams to ensure smooth transitions from development to production, fostering a collaborative environment.- Security Best Practices: Implement security measures in the deployment pipeline to protect applications and data, adhering to compliance standards.- Documentation and Training: Create and maintain documentation for processes and systems, while also mentoring junior team members to spread knowledge within the team.Required Skills and Expectations:The ideal candidate must have a strong understanding of DevOps tools and practices, including proficiency in automation tools like Jenkins, Docker, and Kubernetes. Experience with cloud platforms such as AWS, Azure, or Google Cloud is essential. Strong scripting skills in Python, Bash, or similar languages are expected. Additionally, familiarity with configuration management tools like Ansible or Puppet is a plus. Excellent problem-solving skills and the ability to work in a fast-paced environment are crucial for success in this role.

We are seeking an experienced Data Engineer to join our team in Chennai. In this role, you will work with large datasets and develop systems for data storage and processing. You will be responsible for building and maintaining data pipelines that ensure data is accessible and reliable, enabling informed decision-making across the organization.Key Responsibilities:- Data Pipeline Development: Design and implement scalable data pipelines to efficiently extract, transform, and load data from various sources into databases and data warehouses.- Database Management: Manage and optimize database systems for performance and reliability, ensuring that data is stored securely and efficiently.- Collaboration with Teams: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide necessary data solutions.- Data Quality Assurance: Monitor data quality and integrity, performing regular checks and troubleshooting issues to ensure accuracy and reliability of data.- Documentation: Create and maintain clear documentation for data systems and processes to facilitate knowledge sharing and system maintenance.Required Skills and Expectations:The ideal candidate should have 8 to 11 years of experience in data engineering. Proficiency in SQL and experience with ETL tools are essential. Familiarity with programming languages such as Python or Java is expected. You should possess strong problem-solving skills and be able to work collaboratively in a team-oriented environment. A good understanding of data warehousing concepts and a commitment to maintaining high data quality standards are also necessary for success in this role.

We are seeking a knowledgeable and experienced GenAI Engineer to join our team in Bangalore. The ideal candidate will have between 8 to 12 years of experience in artificial intelligence.Key Responsibilities:- Develop AI Models: Design, implement, and optimize AI models to solve complex problems and improve business processes.- Data Analysis: Analyze large datasets to extract meaningful insights that can drive decision-making and improve model performance.- Collaboration: Work closely with cross-functional teams to understand requirements, share progress, and align AI projects with business goals.- Performance Monitoring: Continuously monitor AI models and algorithms to ensure effectiveness, making adjustments as necessary to enhance performance.- Research: Stay updated with the latest trends in AI and machine learning, applying new methods and technologies to current projects for innovation.- Documentation: Create and maintain thorough documentation of models, algorithms, and processes to ensure clarity and reproducibility.Required Skills and Expectations:The ideal candidate should have a strong background in machine learning frameworks such as TensorFlow or PyTorch, as well as proficiency in programming languages like Python or Java. Experience in data manipulation tools like SQL and familiarity with cloud platforms, such as AWS or Azure, is essential. Excellent problem-solving skills, the ability to work on multiple projects simultaneously, and effective communication skills are crucial for success in this role. A deep understanding of algorithms and statistical analysis will be highly valued. Candidates should be proactive learners, eager to adapt and grow in the evolving field of AI.