Required Skills

agileawsci/cddockerdynamodbgitgithub actionsgrpcjenkinskubernetesmachine learningmicroservicesmysqlnosqlpostgresqlpythonpytorchterraform

Job Description

*Key Responsibilities:*** Lead the design, development, and maintenance of scalable, high\-performance software applications using C\+\+, C\#, and Python.
Architect modular, maintainable codebases aligned with software engineering best practices and design patterns.
Build and integrate RESTful APIs and microservices to enable real\-time data processing, automation, and seamless system interoperability.
Develop and deploy machine learning, Generative AI, and Large Language Models (LLMs) to enhance automation, intelligent interfaces, and analytics capabilities.
Design, deploy, and manage cloud infrastructure on AWS, ensuring robustness, scalability, and cost\-efficiency.
Ensure software solutions are deployed in highly secure, compliant environments adhering to relevant industry standards.
Collaborate effectively with cross\-functional teams, including product, QA, and operations—to deliver end\-to\-end software solutions that meet business objectives.
Develop and maintain CI/CD pipelines and automated testing frameworks to enable rapid, reliable software delivery.
Apply security best practices throughout the software development lifecycle, including identity management, encryption, secure coding, and threat mitigation.
Monitor and optimize system performance through profiling, concurrency management, and code refactoring.

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Job Overview

Job type: Full-time
Work mode: On-site
Location: Mumbai
Posted: 1d ago
Source: Indeed

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*Skills and Experience Required:*** B.E / B.Tech / MCA in Computer Science,
Experience range: 4 to 10 years in Industrial Automation domain
Advanced proficiency in C\+\+, C\#, and Python, with deep knowledge of object\-oriented design, design patterns, concurrency, and memory management.
Proven experience designing, implementing, and maintaining RESTful APIs and microservices, including secure authentication/authorization (OAuth, JWT) and efficient inter\-service communication (gRPC, message queues).
Strong command of AWS services such as Lambda, EC2, S3, RDS, DynamoDB, SageMaker, and CloudFormation; familiarity with infrastructure\-as\-code tools like Terraform or CloudFormation for automated, repeatable deployments.
Skilled in developing, training, fine\-tuning, and deploying machine learning models, Generative AI, and Large Language Models (LLMs) using PyTorch, with hands\-on experience in model lifecycle management and deployment automation.
Expertise in relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, InfluxDB) databases, including schema design, indexing, replication, and performance tuning.
Experienced in building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, with strong skills in automated testing, container builds, and deployment automation.
Working knowledge of Docker and Kubernetes, including deployment manifests, Helm charts, and cluster management best practices.
Proficient with Git workflows (branching, pull requests, code reviews) and collaborative development in distributed teams.
Deep understanding of secure coding principles, identity and access management (IAM), encryption standards (TLS/SSL), and vulnerability mitigation.
Experience deploying applications within regulated environments, ensuring compliance with ISO 27001, NIST, GDPR, or equivalent frameworks.
Skilled in conducting security audits, vulnerability assessments, and implementing remediation strategies.
Mandatory Skills: C\#, Structure Text, Git, Agile, Full stack Developer

Sr. Systems Software Engineer - Full Stack Developer

Required Skills

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