12 Api Developer Jobs

Ensure DB availability 24/7 Ensure seamless flow of DATA throughout the company Lead Database policies, procedures & standards Perform tests & ensure data security, privacy & integrity Monitor Database performance & effect change Minimize DB downtime Required Candidate profile BE/MCA/MSc/BSc 10+yrs exp into IT / DB Administration 5+yrs exp in ORACLE DBA must Strong skills in SQL, Data backup, data recovery, MS-SQL Server & MySQL Relocate to CHENNAI Call @ 96770 76683 Perks and benefits Excellent Perks. Call Ms. Rajeswari @ 96770 76683

API Migration Lead the migration of APIs between platforms such as IBM API Connect and Mulesoft APIM.Develop and deploy APIs using IBM API Connect or Mulesoft APIM.Perform unit, integration, and performance testing of APIs during and after migration

Develop backend services using Python, FastAPI/Flask, integrate SQL databases, build Elasticsearch solutions, deploy to Azure/AWS, manage CI/CD, and mentor juniors. Optimize performance and ensure clean, scalable architecture Required Candidate profile 4–8 years of Python experience with strong backend skills, FastAPI/Flask, SQL, Elasticsearch, and Azure/AWS exposure.

Develop backend services using Python, FastAPI/Flask, integrate SQL databases, build Elasticsearch solutions, deploy to Azure/AWS, manage CI/CD, and mentor juniors. Optimize performance and ensure clean, scalable architecture Required Candidate profile 4–8 years of Python experience with strong backend skills, FastAPI/Flask, SQL, Elasticsearch, and Azure/AWS exposure.

Nair Systems, is a DIFC based, boutique leading edge technology consulting and professional services firm focusing on Digital Banking, Artificial Intelligence, Big Data & Data Analytics, Cyber Security, Blockchain and Cryptocurrency and Robotic Process Automation. Nair Systems is currently looking for API developer for our UAE operations with the following Skill set and terms & conditions. Skills Design, develop and deploy scalable APIs using Java, Spring boot and MicroServices architecture. Implement API gateways using Low / No Code integration platform for traffic control, security and monitoring. Develop and Manage RESTful APIs with proper documentation (Swagger / Open API). Integrate with third-party systems, internal services and legacy core banking application. Work with different application teams, collect API specifications, study and analyse and provide field mapping between the application and the middleware API. Work in Kafka, RabbitMQ and similar messaging systems for integrating with the event messaging systems. Work with DevOps teams to manage CI/CD pipelines using Jenkins, Docker, Kubernetes and Helm. Apply security best practices using OAuth2, JWT and API authentication standards. Collaborate with cross-functional teams in an Agile/Scrum environment. Monitor, debug and enhance API Performance using tools like ELK Stack, Grafana. Experience: 5-6 Years Joining time frame: 2 weeks (maximum 1 month) Should yoube interested in this opportunity, please send your latest resume at [HIDDEN TEXT]

Job Title : Apache Camel API Developer / API architect tech lead Location: Chennai Role and Responsibilities Proficiency in Apache Camel, Spring Boot, and Microservices . Experience with API Management tools such as Apigee, WSO2, and IBM API Gateway (advantageous). Expertise in debugging and developing Backend for Frontend (BFF) APIs . Preferred experience in container-based deployment , including OpenShift. Hands-on experience in developing Business and Integration APIs and working with Swagger . Familiarity with log aggregation tools like ELK, EFK, Vector Loki. Leading API design and implementation , including Integration and Business APIs, and Backend for Frontend APIs . Strong understanding of domain knowledge . Knowledge of Enterprise Integration Patterns . Ensuring compliance with architectural standards, best practices, and governance policies , including security, performance, scalability, and reliability. Capability to map APIs for integration based on end-user application flow . Experience in the banking domain (preferred). Ability to design APIs following Open API 3.X specifications (must). Hands-on experience in Microservices architecture and design patterns . Strong understanding of HTTP and HTTPS protocols , including HTTP Headers, XML/JSON data formats, SOAP, and REST services (must). Proficiency in source code management tools . Familiarity with CI/CD pipelines , including Jenkins (must) and Azure DevOps . Knowledge of performance optimization techniques. Ability to analyze logs for issue identification within the environment. Maintaining API specification documents .

Required Skills Experience building and managing ETL pipelines with large datasets using AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3. Hands-on experience is a MUST TO HAVE. Bonus: Knowledge of Kinesis or Kafka. Strong Python skills with experience in Spark/PySpark and working with APIs.(JAVA) Experienced in developing AWS APIs and configuring API Gateway. Proficient in writing SQL queries and optimizing performance in relational databases like Postgres. Need hands-on experience in Redis Cache and DynamoDB Practical experience with AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3. Experience working with CI/CD pipelines using GitHub Actions and agile development practices. Familiar with IAM roles and policies in AWS. Location- Kolkatta, Remote, Delhi, NCR, Bengaluru,Pune,Noida,Hyderabad, Chennai, Mumbai

Key Responsibilities: Data Pipeline Design & Development Design and develop scalable, resilient, and secure ETL/ELT data pipelines using AWS services. Build and optimize data workflows leveraging AWS Glue, EMR, Lambda, and Step Functions. Implement batch and real-time data ingestion using Kafka, Kinesis, or AWS Data Streams. Ensure efficient data movement across S3, Redshift, DynamoDB, RDS, and Snowflake. Cloud Data Engineering & Storage Architect and manage data lakes and data warehouses using Amazon S3, Redshift, and Athena. Optimize data storage and retrieval using Parquet, ORC, Avro, and columnar storage formats. Implement data partitioning, indexing, and query performance tuning. Work with NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL, Aurora). Infrastructure as Code (IaC) & Automation Deploy and manage AWS data infrastructure using Terraform, AWS CloudFormation, or AWS CDK. Implement CI/CD pipelines for automated data pipeline deployments using GitHub Actions, Jenkins, or AWS CodePipeline. Automate data workflows and job orchestration using Apache Airflow, AWS Step Functions, or MWAA. Performance Optimization & Monitoring Optimize Spark, Hive, and Presto queries for performance and cost efficiency. Implement auto-scaling strategies for AWS EMR clusters. Set up monitoring, logging, and alerting with AWS CloudWatch, CloudTrail, and Prometheus/Grafana. Security, Compliance & Governance Implement IAM policies, encryption (AWS KMS), and role-based access controls. Ensure compliance with GDPR, HIPAA, and industry data governance standards. Monitor data pipelines for security vulnerabilities and unauthorized access. Collaboration & Stakeholder Engagement Work closely with data analysts, data scientists, and business teams to understand data needs. Document data pipeline designs, architecture decisions, and best practices. Mentor and guide junior data engineers on AWS best practices and optimization techniques. Required Qualifications: Experience: 6+ years in data engineering with a focus on AWS cloud technologies. Technical Skills: Expertise in AWS Glue, Lambda, EMR, Redshift, Kinesis, and Step Functions. Proficiency in SQL, Python, and PySpark for data transformations. Strong understanding of ETL/ELT best practices and data warehousing concepts. Experience with Apache Airflow or Step Functions for orchestration. Familiarity with Kafka, Kinesis, or other streaming platforms. Knowledge of Terraform, CloudFormation, and DevOps for AWS. Preferred Skills: Experience with AWS Lake Formation and Data Catalog for metadata management. Knowledge of Databricks, Snowflake, or BigQuery for data analytics. AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect is a plus. Soft Skills: Strong problem-solving and analytical thinking. Excellent communication and collaboration abilities. Ability to work independently and in agile teams. A proactive approach to identifying and addressing challenges in data workflows. Location-Bengaluru,Pune,Noida,Hyderabad

3/5 years of expensed Java webservices / API developer. Any experience with microservices is a big plus. Any experience with AWS Cloud, Identity etc is a big plus.

Jd: Experience working with OSS, BSS, GIS, and cloud-native microservices . Programming skills in Python, Java, Golang, or JavaScript (Node.js) . Hands-on experience with API development (REST, GraphQL, gRPC) and message brokers (Kafka, RabbitMQ, MQTT) . Experience with cloud platforms (AWS, Azure, GCP) and containerization ( Docker, Kubernetes ). Knowledge of CI/CD pipelines and network monitoring tools . Experience with API security, authentication mechanisms (OAuth2, JWT, OpenID Connect) . Preferred: Telecom, enterprise IT, or large-scale infrastructure experience

1.Design and Development of APIs: Create robust, scalable APIs to interface with large language models (LLMs). Develop endpoints for sending and receiving data from the LLM, ensuring that requests (e.g., text prompts) and responses are efficiently processed and communicated between the front end and back end. 2.Request and Response Handling: Implement systems that properly structure user inputs (e.g., transforming data into LLM-readable formats) and format the model outputs to meet application needs. Design logic to handle various types of responses, including error handling, fallback mechanisms, and retries. 3.Middleware and Pre/Post-Processing: Develop middleware to preprocess inputs before sending them to the LLM (e.g., tokenization, language translation, or contextual enhancements). Post-process responses to improve output readability, filter inappropriate content, or integrate additional functionality, such as summarization or answer extraction. 4.Performance Optimization: Focus on reducing latency in API calls to provide fast responses, especially for real-time applications. Implement strategies such as request batching, caching, and efficient data flow management to minimize delays and maximize throughput. 5.Security and Authentication: Set up secure API access with authentication mechanisms such as API keys, OAuth, or token-based access. Implement rate limiting, request logging, and auditing to prevent abuse and monitor usage. 6.API Versioning and Maintenance: Manage versioning to ensure backward compatibility when updates or changes to the LLM or API occur. Document and implement updates without disrupting existing users, ensuring smooth transitions for new versions. 7.Cost and Usage Optimization: Implement systems that minimize unnecessary API calls to control costs associated with using LLMs. Build mechanisms to track usage, set cost thresholds, and develop strategies like response caching to reduce API call frequency. 9.Collaboration with Other Teams: Work closely with machine learning engineers to ensure the LLMs API integration is seamless. Collaborate with frontend developers to ensure that the LLMs responses fit the applications user interface and experience. Location-Chennai/Noida/Pune/Trichy

JD:- Role: API Developer Skills: Python, AWS, Node JS Duration: 6-12months Location: Pune Experience - 4 years